Metamuse

Metamuse

By Adam Wiggins, Mark McGranaghanTechnology
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    00:00:00 - Speaker 1: There just really doesn’t seem to be an effective

    concrete practice for taking like day to day insights and accumulating
    them, like rolling them up into a snowball of novel ideas.

    00:00:16 - Speaker 2: Hello and welcome to Meta Muse. Muse is software

    for your iPad that helps you with ideation and problem solving. This
    podcast isn’t about Muse product, it’s about Muse the company and the
    small team behind it. My name is Adam Wiggins. I’m here today with my
    colleague Mark McGranaghan. Adam, and a guest today, Andy Matuschek.
    Hello, thanks for joining us today, Andy. I think you’re about as close
    as there is to Rockstar and the tools for thought space.

    00:00:39 - Speaker 1: That’s a really distressing statement.

    00:00:42 - Speaker 2: Yeah, we’ll, we’ll talk more about why this

    space is so small a little later on, but for those that might not know
    you that are listening, maybe you can briefly give us your background.

    00:00:51 - Speaker 1: Sure, I’ve kind of a meandering background. It

    begins in technology. When I was a kid, I was constantly developing
    video game engines and kind of these tools for creative people. I, um,
    with a couple of roommates, I worked on the, the first native Mac OS 10
    graphics app and did that for a bunch of years and then made some open
    source software for developing.

    I was always really into tools for others.

    Went off to Caltech and kind of got introduced to science, serious

    science. And uh kind of got my, my very pragmatic engineer perspective
    salted uh with all that.

    But unlike all of my peers who who went off to get a PhD, I, I went off

    to Apple and got a different kind of, it kind of felt like a graduate
    program of studying at the, the heels of all of these people with like
    jeweler’s loops that they were using to to look at individual pixels of
    devices and There, there my work became much less about just programming
    and much more about kind of the intersection between technology and
    design. I, I got myself involved in in all these projects that it kind
    of the through line was that they, they were about what was central to
    dynamic media, uh, as opposed to just pictures on screens. So things
    like, you know, interactive gestures and like the 3D parallax effect
    and, you know, crazy page curls and And all this stuff we’ve talked
    before about.

    00:02:07 - Speaker 2: Uh, the way that Apple’s environment maybe has

    less of that distinction between design and engineering or there were a
    lot of people that sat really on the intersection of those two things
    and it was part of what allowed them to do and continues to allow them
    to do really innovative things on interface and and maybe you’re a
    person that sits in that place as well, right?

    00:02:26 - Speaker 1: Sure, yeah, yeah, it’s it’s interesting because

    like from an org chart perspective, there’s really heavy boundaries
    between engineering and design, and like I was on the engineering side
    of the house, like I sat with the engineers, but uh for several years,
    I, I would like Spend much of my day sitting in the human interface lab,
    like next to a designer, and we’re just kind of like tossing prototypes
    back and forth all day. And so it became this kind of mind meld thing
    where those people could tweak values in the prototypes I built and you
    know, I would end up tweaking design elements as I was building
    prototypes and it kind of just the titles fell away.

    But over time, I kind of, I began to feel that these experiments we were

    doing with the dynamic medium, I would love to see them applied to
    things which had More, more meaning, more impact in the world. And so I,
    I got really interested in, in education research. I started writing
    about that. And uh the folks at Khan Academy reached out and asked
    whether I’d like to do that kind of work with them.

    Um, so I joined Khan Academy and and took along, uh, one of my Apple

    colleagues, Mei Li Ku, who is a wonderful designer and, and together we
    started this like R&D lab, uh, at Khan Academy where we explored all
    kinds of uh novel educational environments from that perspective of like
    trying to trying to look at what the dynamic medium alone can do.

    Trying to make these active learning environments and I did that for

    about 5 years and um I started getting a little disillusioned with
    institutional education and um I started getting really interested in
    the kind of knowledge work that people like you and me do every day,
    where you’re reading information, writing information, creating new
    things, pursuing uh novel ideas every day, and I’m wondering how we
    could augment some of that.

    Uh, so now I have this kind of independent research practice where I’m

    pursuing oddball questions like what comes after the book? Can we make
    something that does the job of a book but better? Uh, it’s just been
    sort of a delightful experience.

    00:04:12 - Speaker 2: And I think one of the uh pieces you’ve written

    in all your writing is delightful, and I certainly recommend everyone uh
    read it, but uh uh read as much of it as they care to. But when I’ll
    link to because I think it particularly illustrates maybe the place
    where you and our team kind of overlap and thinking is the
    transformational tools for thought article, which both describes sort of
    your current work around the the learning and the space repetition,
    which you can tell us about, uh, but also the kind of the meta elements
    of how do we develop these kinds of tools in the first place.

    00:04:43 - Speaker 1: Yeah, that that was a project with uh my wonderful

    colleague Michael Nielsen, who’s also been investigating the space
    which we might label tools for thought. And people have defined this in
    different ways that the term stretches back some decades, but uh I like
    to think of it as tools or environments which expand what people can
    think and do. And you know, a great example of this is writing. Another
    great example is numerals. So there’s a tendency to, to think about,
    you know, kind of computer implementations of these things and of course
    there are instances which are very interesting. Um, I find it very
    powerful to reach back to you know, these, these cultural.

    00:05:16 - Speaker 2: Uh, ancestry tools for thought.

    Absolutely. Another great example of that is, I think Brett Victor has a

    piece about this, which is essentially the chart, is the charting
    numbers, you know, on an X Y axis or, you know, line graph or that sort
    of thing that we we take for granted nowadays where it’s easy to crank
    that out in a spreadsheet or whatever, but that was an invention that
    happened not even all that long ago. It’s, you know, a couple 100 years
    back or something like that and the existence of this new. Um, tool, or
    actually, I think as you argue in that piece, medium, you would even
    call it a medium for thought, might even be more accurate, basically
    allows you to have new ideas or see the world in a different way. So the
    tools shape the kinds of thoughts you’re able to have and the kinds of
    works that you’re able to create.

    00:05:58 - Speaker 1: That’s right. If all you have is Roman numerals,

    Roman numerals, uh, then it’s very difficult to multiply.

    Suddenly, if you have Arabic numerals, it becomes quite easy by

    comparison. So kind of in the what comes after the book space, one of
    the things that my colleague Michael and I had been exploring is just
    this observation that most people seem to forget almost everything that
    they read, uh, and sometimes that’s, that’s fine.

    The thing that really matters in a book is, is the way that it kind of

    changes the way that you view the world for many books that really is
    the impact that matters. Uh, but for other books, for instance, if
    you’re trying to learn about quantum computation or some advanced
    technical topic, uh, it really is kind of a problem, uh, that, that you
    forget. Uh, most of what you read because these topics build on each
    other as the book continues. And so you end up starting reading a book
    in English, say, and then halfway through the chapter, uh, you start to
    see there’s like a word of Spanish and, and then by the end of the
    chapter, there’s like whole sentences of Spanish and then then like the
    whole second chapter is in Spanish and say that you don’t know Spanish
    as a language, you read this book and you’re like, well, I thought I
    was reading an English book. It’s like, no, it’s actually written in
    this other language that you have to. Learn, just as you would have to,
    you know, learn vocabulary, if you were trying to speak a foreign
    language, you need to like learn the vocabulary, both conceptual and
    declarative of this domain that you’re seeking to enter. Uh and so, and
    so the experiment is kind of been, well, can we make that easier? A
    project that that paper describes is this textbook called Quantum
    Country, which tries to make it effortless for readers to remember what
    they read. Um sounds like kind of a crazy thing, but It takes advantage
    of really a fairly well understood idea from cognitive science, about
    how it is that that we form memories. It’s reasonably well understood.
    There’s sort of a closed set of things that you need to do in order to
    form a memory reliably. Uh, it’s just that like logistically, it’s
    kind of onerous to do those things, and it requires a lot of
    coordination and management. And so most people don’t do it or it’s
    kind of difficult to do it. Uh, but it’s pretty easy to have a
    computerized system assist these things. And so, basically, as you’re
    reading this book, every 10 minutes or so of reading, there’s this
    really quick interaction where, you know, say you just read about the
    definition of a qubit, after a few minutes of reading, there would be
    this little prompt interface where it’s like, hey, so how many
    dimensions? Does a qubit have? And you try to remember like, uh, how,
    OK, it’s two dimensional. So you think yourself 2 and then you reveal
    the answer and it’s like, oh yes, it was 2, and so you say, cool, like
    I remembered that. And then we say like, OK, so a qubit is really a two
    dimensional what space? Like, how do we think about representing this?
    And say you don’t remember that, it’s this linear algebra concept. OK,
    it’s a vector space. That’s fine. Like you reveal it back, you didn’t
    remember that. See market is like, I like, I didn’t remember that
    detail. And um this is already doing something for you because it’s
    kind of signaling like, hey, maybe you weren’t quite reading closely
    enough or just seeing that answer that you missed, like as you read the
    next section, if that topic comes up. Maybe you’re more likely to
    remember because you were just uh corrected and you saw that correct
    answer. But somewhat more importantly, 10 or 15 minutes later when
    you’re looking at this, this next set of prompts, and you, you see kind
    of the new things from this section, that prompts about the two
    dimensional vector spaces that you failed to remember, that one will
    appear there. And so you’ll, you’ll kind of get another chance. And
    then once you remember it there, the idea is a few days later, we will
    send you an email and you’ll say like, hey, uh, let’s let’s remember
    these things about quantum computing that you were working on, let’s
    work towards long-term memory, and you’ll you’ll open up that review
    session and linked in the email, and you you’ll kind of do this
    interaction again, just, just a couple seconds per question. It takes
    about 10 minutes to go through the material. And that 5 days later will
    kind of reinforce your memory of that material about as well as the 10
    minutes later prompts did, not, not exactly, but, but just roughly you
    get the idea. And then if you remember things after 5 days, then, you
    know, maybe you will next practice them after 2 weeks and after a month,
    after 2 months, after 4 months, and so it initially seems like this kind
    of onerous thing, like, oh, I’m gonna like be working on these like
    memory flashcards for this thing I’m learning, but Because the way
    human memory works is that it’s stabilized in this kind of exponential
    fashion where you can have successive exposures that are further and
    further apart. Uh, it only takes a few exposures before a particular
    idea can be remembered durably for many, many months at a time.

    00:10:11 - Speaker 2: And this is a space repetition systems you’re

    talking about, um, which I had some exposure to through Onki, which is
    this little kind of I don’t know, uh, it’s definitely a tool for
    thought, but it is, uh, very nichey, I would say more than a little
    clunky to use.

    You have to be really motivated to do it. And so you can use a tool like

    this to increase your retention or understanding of something you’re
    reading a science paper, a book. Something you you do want to get a deep
    grasp of, but you got to really work hard at it, right? The tools are
    very taping it all together yourself in a way that requires pretty big
    commitment and investment.

    And one of the things I think is really interesting about the work

    you’re doing is whether you can take that and build it in a way that’s
    fun, relatively low effort by comparison, maybe even you know, sleekly
    designed and just more, more enjoyable overall.

    00:11:06 - Speaker 1: Yeah, one thing that characterizes, I think a lot

    of opportunity in this space is that there are many exciting ideas which
    have been explored by technologists or by academics, which are promising
    at some foundational level.

    The underlying mechanic of Aki is fundamentally the same as the

    underlying mechanic of quantum country if you look at it from a certain
    angle, but there’s this core design piece missing, that’s kind of
    keeping that idea from really having the transformative impact it could
    have.

    By that, I don’t mean the fact that Aki is like hideous. I mean, it is,

    and, and it will kind of like turn off basically everybody who looks at
    it for that reason. But there are deeper issues to your point, it’s
    really hard to write good prompts. Uh, both in the sense that people
    start by being bad at it, and so they’ll write prompts that don’t work
    very well and that are boring and onerous to review, and they mostly
    won’t realize that that’s what’s happening. They’ll just think like
    that’s what this is. And then also in the sense that even if you do
    know how to write prompts well, it’s quite taxing. It takes a lot of
    effort. It’s a context switch from the experience of reading and it’s
    valuable insofar as kind of reflecting on material that you’re studying
    and synthesizing it, distilling it and turning it into a question
    actually does. go quite a long way to enforcing your your understanding
    of the material, but maybe you’re only going to do that for like the
    most important things in your life. And it’s pretty interesting to
    wonder like, OK, maybe you do that for the top 10% of the stuff that you
    ever read, but what if it was like really pretty easy and low effort for
    you to remember the top 70% of the things that you could read. You could
    save that special effort for the stuff that really, really matters. Um,
    that’s kind of what quantum Country is pursuing. One of the main things
    it’s wondering is, can we make this something. That it basically
    everybody who’s reading it and is serious about the topic can take
    advantage of and really see the benefit of.

    00:12:49 - Speaker 3: I think this thread also reflects one of the

    challenges in developing new tools for thought, which is you actually
    need a lot of different skill sets. It’s not just a matter of
    engineering or computer programming, you need engineering, products,
    design, writing, marketing, community, often you need at least all of
    those things. And I see a lot of people approach the domain as basically
    pure engineers and they they. Tend to kind of bounce off or the products
    don’t stick because they’re missing a lot of those aspects.

    00:13:15 - Speaker 1: That’s right. And I’ll add one more actually,

    that that’s kind of Michael’s in my hobby horse here, which is that
    you probably also need some kind of domain expertise.

    So many of the, the projects in this domain, even if they do actually

    have the design skills and the technical skills involved as well as some
    of the other peripheral skills, they’ll be doing things like trying to
    make a tool to do math better or something like that, but no one on the
    team is a serious mathematician. And so they’ll make something that
    seems really cool and it makes for a really good like product
    presentation, but no mathematicians really going to use it to do serious
    work.

    Maybe it works in an educational perspective, but it’s fundamentally

    limited. It’s it’s like a toy in some fundamental fashion. And so to
    that list, I would add, you need some kind of deep domain expertise too
    for a product like Muse, maybe that is somewhat diffuse. So anybody
    working on a product, the domain expertise that’s relevant there might
    be like, you know, the visual design of a product or like doing this
    kind of conception stages of a product.

    00:14:11 - Speaker 2: Well, our domain is thinking. So luckily we have a

    domain expert on that, and that’s Mark, right?

    00:14:15 - Speaker 3: Yeah, I feel like a sort of secret that we have,

    we had with the lab and now we have with use this understanding of the
    creative process and thinking and a lot of it actually comes. From the
    study of how this stuff happened historically. And you mentioned
    reaching back in history and learning from that something we’ve done a
    lot of.

    00:14:29 - Speaker 1: Yeah, it’s fantastic. I think it’s just really

    attractive to build tools.

    It is built into my DNA like I grew up that way, and it’s actually a

    liability for me.

    My tendency when I see an opportunity or I see a problem space, is like,

    oh, wow, like I’m going to make a tool to like help with that.

    And that’s like a useful tendency, it’s a cool tendency.

    But often, I’m not like really solving a burning problem, or I’m

    solving an abstract problem that isn’t connected to something that is
    like concrete and intrinsically meaningful and that like actually is
    about doing the work. So like the analog and muse would be if maybe
    I’ve done like one serious creative process that was about like a
    concrete thing, and then I. Like, wow, like I’m really interested in
    the creative process. Like I’m going to devote, you know, the rest of
    my days to working on building tools for the creative process, which I
    like, I’m never really using to do any subsequent serious creative
    process. Like I’m I’m doing it in order to make the tool because I’m
    fascinated by tools. That’s a tendency that I have that I have to
    actively combat.

    00:15:24 - Speaker 2: The other thing that comes with it, if you come

    into building a tool with the domain knowledge.

    Is that over time you get focused on building the tool and maybe you

    actually know the domain less well.

    So there’s there’s quite a parallel for me personally between uh

    Hiroku and Muse in that both are some kind of creative process.

    Hiokku’s web development, um, which is one kind of one kind of

    creativity, one kind of creation, act of creation with Muse’s, it’s
    thinking and reading and making decisions.

    In both cases, there is a process where a thoughtful professional sits

    down and they start in one place and they end with a solution or a
    result or or an output.

    And studying and understanding that process both it’s fun for me to

    introspect for myself, but then the the ethnographic research aspect of
    going out talking to in the lab and in the build up to Muse, we talked to
    hundreds of creative professionals about their process, which was always
    an interesting thing because of course it’s this very private and
    intimate thing and also I would say 98% of the time people are vaguely
    embarrassed because they feel like it should be better.

    It’s like, oh, my notes are really messy, or yeah. Yeah, you know,

    don’t look at my office. It’s, you know, things are, I, I should have
    some, I don’t know, some they have some idealized version of what it
    would what it would look like the reality I think is the creative
    process is messy and that was something we we fed into Muse was sort of
    embracing that a little bit.

    00:16:46 - Speaker 1: I think it’s critical that you all not only

    experience that ethnographically but also personally that you have this
    deep personal experience of that process. Otherwise I fear it’s too
    detached.

    The insight from the last year that I’m most excited about is is kind

    of this nugget in the middle of the the paper you you referenced, Adam.
    I call it like that the parable of the Hindu Arabic numerals. I hope you
    don’t mind if if I kind of recap it here because it just seems to
    bear.

    It’s this observation that if you are the Roman royal accountant and

    you’re just struggling through these tables of numbers and you find it
    very onerous and it’s kind of taxing and it’s error prone, imagine if
    There was like Roman IDEO and you could go to them and say like, hey,
    please help me like with my accounting process, please redesign this.
    You know, IDEO’s process is pretty amazing in a lot of ways. They’ve
    helped make a lot of really powerful products, and they have this
    process that is really interesting where they go and they they embed,
    they will like sit with the accounting departments and like interview
    extensively as you talked about interviewing people about their creative
    process and like really try to internalize it, they’ll do all this like
    synthesis and diagramming. And they’ll come up with words to describe
    what people are doing, and it’s all great, but I think there’s just no
    way that Hindu-Arabic numerals would be the result of of that process
    if, if what you’re starting with is Roman numerals, because the
    transition requires the deep insights of a mathematician and also deep
    insights of a designer. So just for instance, place value, this notion
    that like if I have a 6 and it appears in the right moment. Spot, then
    it’s like a one digit, but if it appears in the second or rightmost
    spot, that 6 is still 60 in certain fundamental ways, and you can still
    perform the same fundamental operations on it, like with addition and so
    on. It still works the same, but it has this alternate interpretation of
    being like 60, it’s in the tens place. That is a profound mathematical
    insight that depends on deep intuition of like commutivity, the laws of
    distributivity. Uh, it’s not something that somebody just like doing
    some ethnographic research in the field is going to come up with, yet
    simultaneously, it’s also not something that most mathematicians are
    going to come up with. And so it’s a great example of how you like, you
    really have to have the same, the people on the same team.

    00:18:57 - Speaker 2: That is a great example of the domain knowledge,

    and I wonder if that connects to something.

    I feel like I see the trend of people with design as a skill set. I feel

    like are more often drawn to what I would call consumer or sort of end
    user things. So they’re more interested in working on social media, you
    know, let me get a job at Instagram or Facebook or something like that.
    And I wonder if that’s because then they only need to be an expert in
    the design domain, and if they’re working on something that’s more um
    for an end user that’s not really a specific domain, you don’t need
    that knowledge or the things that you need. To understand the problem
    space of Instagram is not deep specialized professional knowledge. It’s
    just being a person with a smartphone that likes to take photos and post
    them on the internet.

    00:19:40 - Speaker 1: They can certainly be a lot more successful in

    that way.

    People are sometimes surprised that Apple doesn’t really engage in

    anything that looks like design research, and here I use that word to to
    kind of mean that the ethnography that you’re describing user
    interviews, the walls full of sticky notes where you’re trying to like
    describe user behavior.

    And summarizes your quotes. The Apple designers don’t really do that.

    But they’re primarily designing products that solve problems in their

    lives. Like I use email, like, let me make this email a little nicer,
    and so like they can do that.

    But I think as soon as you leave that domain, things start getting hard,

    like Apple iBooks, there aren’t a lot of like really serious readers on
    the design team. I think that’s part of why Apple iBooks is not good.

    The various attempts at social music platforms, that’s something that

    requires like a set of ideas that have been pursued by various products.
    It requires like, you know, kind of a landscape review, understanding
    people’s social interactions really deeply, that’s also not part of
    the process. The Instagram designers, I think they are doing something
    that the Apple designers aren’t, they’re talking to users a lot about
    how they feel when they’re interacting socially, and that’s a piece
    that has always been missing from Apple’s process, but to your point,
    they’re not this like goal of of taking and sharing photos. That’s
    something they already like.

    00:20:52 - Speaker 2: Well, we’re already pretty far into it here, but

    I feel like I should um stick to our format, which is introducing the
    topic. Maybe I’ll do that here and Andy, you, you suggested this one,
    which is uh environments for idea development, particularly idea of
    development over time. I thought it might be interesting to compare what
    that phrase brings to mind for each of us.

    00:21:12 - Speaker 1: Sure. So one of the hobby horses I’ve been

    thinking about recently is, I’ve been reading this literature on
    deliberate practice. Eriksson is maybe the prominent individual there
    and there’s this, this extensive research on the practices of dancers,
    musicians, athletes who have these very formal and intense. Hence
    preparation and practice structures that stretch from youth into
    eminence. So touring international pianist is still working on these
    like fundamental skills and activities. And I think it’s fascinating
    that by contrast, knowledge workers really don’t seem to take their
    fundamental skills all that seriously insofar as kind of like improving
    them in a deliberate daily ongoing way.

    00:21:51 - Speaker 2: Yeah, I’d be curious to even just enumerate what

    we think are some of the foundational or some of the core skills for a
    knowledge worker.

    00:21:59 - Speaker 1: I was about to try to do that because I think it

    actually connects to this to this phrase. I’m sure that y’all could
    add some more, but I think reading effectively is is one of them,
    writing, communicating effectively is one of them.

    But taking an inkling and developing it over time effectively seems like

    another just really important idea of creative work.

    And so that that’s what made me suggest the topic that if I speak to

    people and ask them like, hey, so you know, this kind of interesting
    notion comes out of a conversation, and you think like it might be worth
    pursuing, then what? People’s answers are uh. They’re not good, you
    know, and like people do come up with things, they managed to develop
    ideas in spite of this, but it’s clear that this is very haphazard, and
    it doesn’t always feel like haphazard in a good way.

    People will say things like, well, you know, maybe I write it down in my

    notebook. It’s like, well, and then what? Well, uh, maybe later I’ll
    like flip back through and see it, like, no, no you won’t, uh, or, you
    know, you can like you can schedule time, you can like put aside time to
    like think about that idea, and maybe if it’s like a really important
    idea you’ll do that. But you won’t for like, you know, something cool
    that comes out of a conversation that seems like it might connect to
    something later. There just really doesn’t seem to be an effective
    concrete practice for taking like day to day insights and accumulating
    them, like rolling them up into a snowball of novel ideas over time,
    except insofar as, you know, they kind of happen to accumulate in your
    awareness.

    00:23:17 - Speaker 2: Yeah, that makes sense and obviously connects very

    well to the To the Muse story for me, it’s become because of this
    product that I now obviously have been using in the process of our team
    developing it.

    Because it for me represents the place I go to do my deepest thinking.

    There’s almost not quite a ritual, but let’s say when I, when I go to
    make a muse board for something that I feel like is something I need to
    do a deep dive on, I know I’m really getting into it. That signals it
    to myself.

    Almost to the point that sometimes I’m, it’s an idea I’m excited to

    explore exactly what you described, like the team is having a
    conversation, something serendipitously comes up. I think I should
    really dig in on that.

    I think there’s something there. I put it in my notes to do that. So

    that can be like.

    A fun, exciting opening a new door, opening a fun Pandora’s box kind of

    thing.

    But it can actually also be the other way around, which is I know it’s

    maybe more of um something important to insult to research or understand
    deeply that maybe has is a problem in in my personal life or like a
    government paperwork thing or some other something like that.

    And I just know, OK, I’m going to really get into it.

    This is not shrugging it off. This is not quickly jotting down a couple

    of quick notes in my notebook and moving on by creating this board. I’m
    kind of mental. Making myself a commitment to follow this rabbit hole as
    deep as it goes until I feel like I have my head around the problem or
    or I’ve solved it, which is sort of an interesting effect, mental
    effect that the product seems to have on me.

    00:24:36 - Speaker 1: It’s really interesting. Can I ask the and then

    what? Like something comes up in a team meeting and so like you add it
    to the muse board. What’s the and then what? How does that idea grow?

    00:24:45 - Speaker 2: Yeah. Well, importantly, I wouldn’t add it

    straight to muse from the meeting. I would put it more into my kind of
    like inbox GTD style. Like just stop it’s the same it’s the same list
    where I put down, um, you know, we’re out of we’re out of milk, you
    know, get more, it’s just like little notes here.

    Another way I’ll think of it sometimes uh in team meetings is realizing

    we need kind of an internal memo to pull together diverse thoughts on
    the topic and like really articulating what the problem is, um, and
    really trying to lay it all out so that not just for my own thinking but
    so we can all sort of be on the same literal page about.

    Something, particularly maybe something that’s a long time ongoing

    problem and there’s people that weren’t on the team before and they
    don’t have some of the past contexts you want to put it all together.

    Yes, so then what for me is deciding I want to devote a chunk of time to

    this, you know, maybe it’s 20 minutes, maybe it’s an hour, maybe it’s
    more to really dig in, to really just face whatever this is head on and
    see where it leads me.

    And you know, maybe it’s something like an idea for a new product

    feature, for example, which again tends to be more on the fun. Uh, the
    fun side of things. And so then, then there’s this whole process
    around, you know, let me assemble prior art and get together some ideas
    and sketch some things and all this kind of stuff.

    The output varies, but sometimes there’s just a clear insight of like,

    oh we should do X, it’s a decision basically, and then I will go and
    take action on that, but other times it’s realizing, wow, this is a
    really much deeper hole than I thought and You know, it needs more
    thought or it needs more whatever.

    And then maybe I want to, for example, it’s a team activity, maybe I

    want to bring it back to the team and say, we thought we could, I
    thought I could think about this briefly, have a solution, and then do
    it. But actually it’s a lot deeper than that. What do we want to do? So
    I think it’s, I think it’s just like understanding or not quite
    enlightenment, but getting to this new place of understanding about
    whatever the thing is, and then that in turn implies a next action.

    00:26:38 - Speaker 1: One of the questions I’ve been exploring in this

    space is what to do when it’s not really possible to make a lot of
    progress in one session.

    So talking with people about their practices, one common approach that I

    hear relates to what I just heard you articulate, and that’s that
    something kind of reaches a threshold of interestingness or apparent
    importance. And at that point, you’re going to like carve out some time
    and sit down and really think about the thing.

    That’s cool. And sometimes that is enough. I noticed that for a lot of

    the most interesting ideas that I explore, one session doesn’t often
    really doesn’t yield all that much. In fact, often it doesn’t
    necessarily feel like that session really produced a significant
    increment at all. Uh. You’re just kind of like manipulating the terms
    of the equation, so to speak, getting a better handle on it. And so one
    element that I noticed often really seems to be lacking from people’s
    processes, because it’s kind of it’s hard to orchestrate is
    marination, where it seems like sometimes what ideas need is just kind
    of consistently returning to them over time and asking like what do I
    have that’s new to say about this difficult question? OK, I can say a
    few sentences about it that seem kind of new, like it’s interesting,
    but it’s still not. Something. So I’m going to leave this for 2 weeks
    and I’m going to come back and like, what do I have that’s new to say
    about this? And maybe if you do that, you know, 6 times, something
    starts to emerge. That seems really difficult to orchestrate.

    00:27:58 - Speaker 2: It makes me think of a great article called

    Solitude and Leadership, which basically is describing how you need to
    carve off this.

    You basically need to disconnect from the opinions and influence of

    others in order to have original thoughts.

    One way that the author talks about it is in that first session, like

    you described, at the end, everything that you’ve come up with a
    written. Down is really in a way just the thoughts of others that
    you’re echoing back. And that’s fine. That’s a starting place, but to
    truly get to something original or new or potentially breakthrough, you
    need to push past that.

    Yes, he claims that he can sense when he’s sort of like sort of cross

    from the more mundane thinking and into the more excuse visionary for
    lack of a better, better word or just original, uh, when the thoughts
    start to not just be an echo of what he’s read or seen or heard
    someplace else.

    And that always requires multiple sessions.

    00:28:49 - Speaker 3: I think this also points to the idea that you

    can’t always expect to sit down in a series of sessions and then kind
    of one step after another, produce an idea all kind of in the forefront
    of your mind.

    When we think about thinking and ideas and tools for thought, we have

    this very conscious perception of it.

    It’s like I’m sitting down, I’m going to come up with something

    that’s better than Roman numerals. At the end of the session, I’ll
    have, you know, Arabic numerals. I think that’s just not how it works.
    Usually, sometimes you can get away with that, but often it’s more of
    your, like you said, marinating on stuff. That’s becoming this fodder
    for your mind and then in the background, you’re having an unconscious
    process of ideas, connection forming, inspiration, and then when you
    come into a later session, you might be better prepared to have a new
    idea. So I think it’s like you said, it’s really important to find
    ways for the tool to support that marination, chewing, ruminating, going
    over, rearranging without the expectation that you’re going to be
    explicitly building up your new idea.

    00:29:39 - Speaker 1: It’s really easy for tools to accidentally build

    walls for that.

    One of my favorite novel reading tools is this. liquid text, totally

    fascinating set of interactions for manipulating PDFs, excerpts, things
    like that. One very interesting design decision is that by default
    documents are kind of a workspace and so you extract excerpts into like
    this canvas and you can manipulate them, but documents are kind of
    separate from each other in that sense.

    So you can have a set of insights about a document, but if you’re going

    to have inter-document insights, that’ll depend on your memory.

    Now there’s a fix for that, which is that you can create multi-document

    workspaces.

    You can say like, well, this is like my thinking about the this.

    Problem, you can kind of like bring several PDFs into it and kind of
    like make your notes and make your excerpts and whatever. And that’s
    cool because then you can have insights between them, but it still
    requires this intentionality of saying like, cool, I’m gonna like bring
    that PDF into this workspace and then like the notes and excerpts and
    whatever like they live there. But if you’re working on several
    interesting questions and ideas at once, it’s not at all clear that
    you’re going to have interactions between those workspaces that are
    necessary.

    00:30:40 - Speaker 2: Yeah, liquid liquid text is great, but I think as

    a coming back to the environments for idea development. That creating
    room for serendipity without just total chaos is maybe a subtle and
    tricky thing.

    00:30:53 - Speaker 3: I’ve thought about ways, by the way, to do this

    not subtly. One notion I have for an experiment is the idea collider. So
    you have something like your, your notes or your wiki pages, and every
    morning it just gives you two random pages and it’s like write a third
    page, which is the synthesis of these two things. Oh cool. I’d love for
    someone to do that experiment. Have you tried it? No, no, it’s kind of
    a it’s open. Request for research. So if anyone listening wants to
    develop it, let us know. That’s great.

    00:31:14 - Speaker 1: It connects to a set of ideas that I’ve been

    exploring for the last year or so.

    I’ll share it, maybe that’ll generate some more.

    I’ve been doing this kind of strange note taking practice that really

    came out of trying to solve this problem of like, how, how can I make
    marination effective? How can I, how can I make a process where I can
    like do something every morning and cause there to be increments on my
    understanding. of some ideas or some problems I’m trying to solve.

    And so I have something that’s kind of like a personal wiki basically.

    The technology is not really important. It’s more about the practice
    that’s important and the practice is that I try to write these notes
    that are densely linked to each other where each note is about a
    particular atomic idea.

    Sometimes the note is a question like what are the most important design

    considerations when writing prompts for the mnemonic medium like one
    country and sometimes for Since the children of that note are
    declarative statements like space repetition memory prompts should focus
    on one idea, and then that note will kind of accumulate not just in one
    session, but over many sessions, all of the things that I have to say
    about that.

    And sometimes I’ll learn that the title was wrong. It’s like, oh,

    actually they shouldn’t always focus on one idea because sometimes
    it’s really good for, you know, these memory prompts to like synthesize
    multiple ideas and these things kind of evolve over time, a term that
    some have used is is gardening.

    Uh, I call these like evergreen notes because they’re trying not to be

    fleeting notes, like notes from a meeting that you’ll never really
    return to, but rather uh notes that you water and which grow over time.

    And just to get back to your idea, Mark, one of the practices that I

    found most rewarding here is this notion of a writing inbox, where when
    something seems interesting or juicy, I have a place for it to go, and I
    start my writing most mornings by looking at that writing inbox and and
    training. those as a set of provocations or prompts and asking like,
    which of these things do I feel like writing about this morning.

    In this way, ideas which seem promising, even if there’s already a lot

    written about them, I can kind of throw them back in the inbox and then
    it’ll like it’ll appear for consideration on upcoming mornings. But I
    think that inbox gets even more powerful if you start to introduce
    fancier orchestration methodologies into it. So one possible
    orchestration methodology is like the one that you just mentioned where
    like maybe the inbox this morning. contains these like pairs of notes.
    Uh, so it’s going to kind of combinatorically like walk my tree here.
    But another thing that seems pretty interesting and that I’ve been
    playing with is this idea that I had this interesting idea in a
    conversation with someone. I don’t really know what to do with it yet.
    It still feels promising, like, I don’t want to lose it, but I also
    don’t really have anything more to say about it right now. So I can
    like kind of snooze it for a while. It’s like, OK, I can go out of my,
    my writing inbox for a while, and it’s familiar from Gmail. And then
    It’ll like come back in a while, but in a modification on the snoozing
    functionality that I’ve been finding very interesting is the
    parameterless snooze. Normally you have to say like come back in a week.
    I think that kind of overhead is unhelpful and is often
    counterproductive and it’s better to just say like, no, not today. And
    to say like, well, if I’ve said that 10 times, then like, probably this
    should just go away a long time.

    00:33:57 - Speaker 3: Yeah, does it like exponentially back off and

    reminding you. I think by the way, that snoozing or moving things out of
    you is really important. It’s actually a big difference in just having
    a big pile of to dos because there’s a limit to how many things you can
    have in your head at one time. And often we have new ideas that we want
    to bring in, but there’s no space. And the only way to do that is to
    actually kick stuff out from your working memory, and something like a
    snooze can help with that.

    00:34:21 - Speaker 1: Muse is really Interesting in this regard because

    the the constraint of the screen as a surface, it encourages users to
    keep stuff to the quantity which they can see at a reasonable zoom scale
    on a screen at a particular time. I like part of the design?

    00:34:36 - Speaker 2: Yeah, well, certainly constraints are potentially

    great for creativity. Post-it notes.

    One that I reliably come back to both in my own work, but also just as

    just this kind of very workhorse tool for thought analog world thing and
    part of it is you just can only fit so much you can also use index cards
    for this as well, yeah, maybe with an index card and a Sharpie and that
    sort of limited amount that can be on each card.

    Of course you can have any number of cards.

    So yeah, obviously with Muse, you’ve got the, you’ve got the expanding

    boards and you’ve got the sort of the 3D nesting, but certainly
    there’s I feel a desire to make what’s on the screen at the time kind
    of fit together as a collection of things that feed each other and when
    I start to have a section. Of the board that starts to feel like a
    rabbit trail, then I want to make a subboard that and so it feels like
    you’re going deeper down the rabbit hole or something like that.

    00:35:30 - Speaker 1: One of the things I wanted to ask you about is

    kind of muse relates to this note writing practice I’ve been doing is
    the practices of refactoring or revision, polishing, gardening.

    Uh, something that’s been very useful in my practice is kind of having

    ways to think about writing at different levels of fidelity.

    So I’ll kind of have a place where daily notes go that are quite

    fleeting and kind of scraps will start there. And when something is
    titalable, there’s some, some atomic unit that I can point to and say
    like, OK, that’s that’s the thing. Now it can get its own notes and it
    can be linked to from places. But almost, it’s almost like the goal
    over time is for these things to adhere and Crete into larger elements.
    So a a note that’s a single claim is like not that useful. It’s kind
    of this ross, but eventually some number of notes that make a claim will
    become like a, like a theory or like a noun phrase, a coinage or
    something. And that larger note that, you know, contains references to
    all these constituents, it feels like an increment that’s meaningful.
    And so the pressure in the system to like over time refine, refract. To
    create ever higher order abstractions is very helpful in my writing
    practice and I’m curious how you think about that.

    00:36:38 - Speaker 3: I would say that Muse supports that, but doesn’t

    require it. So you can certainly use Muse as a persistent corpus that
    you’re accumulating over time and building up to these pristine and
    complete notes that are basically publishable.

    But you can also use it in complement with other tools. So maybe you’re

    doing it in your head, maybe you’re writing stuff out in notion, maybe
    you’re using an authoring tool like Final Cut Pro, it’s more flexible
    on multi-purpose maybe.

    It’s very important. It was a very explicit design decision that boards

    and cards in general do not require titles. I think that one of the kind
    of original sins of of file systems is in order something to exist, it
    has to have a name, but a lot of things just aren’t named yet.

    00:37:11 - Speaker 2: That was one of our design goals with Hiroku was

    that you’d be able to put an application online without giving it a
    name.

    00:37:17 - Speaker 1: Oh, that’s great. I didn’t know that.

    00:37:19 - Speaker 2: That’s wonderful. The original implementation was

    Apps by default were untitled some long.

    00:37:25 - Speaker 1: They have cute names.

    00:37:26 - Speaker 2: I recall. This was, I think one of the, one of the

    really lovely pieces of work my partner there, James Lindenbob did,
    which is what we now call haiku names, which I think have been fairly
    widely adopted, which is sort of taking an adjective and a noun that
    were carefully selected so that they go together and they convey a
    certain vibe that kind of connected to our brand or whatever, plus we
    eventually had to add some numbers on the end just because there was
    enough of them. Um, but the idea is something that looks nice. It
    doesn’t look unfinished, it doesn’t look like untitled, but it
    doesn’t also require you to figure out, wait, do I want to call this my
    wiki or is it the team wiki or is it Team Wiki 2 or is it the, cause
    it’s like an idea I wanna pursue an unfinished thing and I don’t quite
    know what it’s gonna be yet. I have this hunch that I’m exploring and
    then yeah, you get all hung up on the name, um, and yeah, for for sure I
    see the file system. Uh, world of things having kind of that same
    problem where you use his names are important when we know that we sense
    that and so if you have to give it a name to even get started on
    whatever it is you’re creating, that can be a bit of a, a bit of a hold
    up. Now it’s nice, it might be nice to title something or label it
    later. Muse has labels for that reason, obviously rename your Hiroku
    app. There’s lots of other examples of that, but being able to just
    start with, it doesn’t have a name and eventually actually the act of
    naming it is you’re sort of upgrading it from Random tidbit of of
    random idea, random tidbit of knowledge may not amount to anything to,
    OK, this is a thing now.

    00:38:47 - Speaker 1: Yeah, I really like this word upgrade. It accesses

    a design direction or a design space that I’m curious about with this
    taxonomy of notes, taxonomy of creative work. Taxonomy is too too rigid
    a word. It’s obviously much more fluid than that. Almost the ceremony
    of giving something a name, giving some. A coinage, and that that feels
    that the object feels more complete when it has a name, almost like it
    wants to like it wants to have a name. It’s OK with not having a name,
    but it’s in a happier state when it has a name.

    00:39:19 - Speaker 3: This is a feeling that resonates very strongly

    with me. When I’m doing a project, a huge milestone is when I come up
    with a good name. And I don’t know why it is just, it feels so much
    more. Real when that happens.

    00:39:29 - Speaker 1: In designing tools for thought in general, I think

    this is a powerful practice to avoid the tyranny of formality by saying
    like, OK, there are 6 types of notes. There’s the fleeting note,
    there’s the claim note, like, that’s terrible, screw that.

    But you can still have an opinion about process.

    People ask me like, what software do you use for your note taking? and

    it’s like totally the wrong question.

    What matters is kind of the methodology, but having the methodology and

    Mind, I can’t readily like communicate it or install it into others'
    minds except by having them read like thousands of words of notes.

    And one of the things that Tools for Thought can do is to encourage a

    particular methodology, not by imposing formal structure, but by
    implying certain kinds of structure, by making, for instance, objects on
    a canvas feel somehow more complete when they have a title. You’re not
    imposing the necessity of a title, but you, you’re suggesting that
    one’s work should perhaps culminate in a title.

    00:40:24 - Speaker 2: My creative process is always heavily oriented

    around finding patterns, which is why it’s important for me to have a
    lot of I guess raw material and input.

    Uh, you can call it data, but it might be something like user interviews

    or it might be something like looking at some other products in the
    space that I want to compete with or improve upon or something like
    that.

    Um, it might be a series of bug reports, and I’m trying to get to the

    root of what this is in some kind of complex system in order to do that.
    I want to, you know, it’s been very difficult to track down, but if I
    could somehow kind of look at all of it together and extract out what’s
    the, what’s the pattern here? That’s, that’s the place where insights
    come from me. I, I glean that’s not necessarily the case for everyone,
    but for me it is this process and if I can somehow get everything
    together, I can get all the relevant stuff in one place, that’s half
    the battle.

    00:41:12 - Speaker 3: Uh, one last idea and tools for thought before we

    transition into the meta, and the, the mummonic medium can be thought of
    as a way to optimally position you to remember things.

    There’s this point where if you’re at as a learner, you’re, you’re

    best position to recall vocabulary phrases. It’s like just as you’re
    about to forget, basically, you get prompted again and as that happens
    more and more, those times become longer and with a system like space
    repetition, you get this software-based support to help you remember
    things.

    I’m curious if you think that technique can be applied to Skills. Uh,

    this is an idea that I’m really intrigued by because yes there’s a lot
    of interesting things that are like facts and figures, but there’s also
    a lot of things that are our skills and abilities, and I wonder if we
    could apply the same technique to learning how to play chess or how to
    use a video editing program or something like that.

    00:41:57 - Speaker 1: I do think that’s possible. I’ve spent a few

    years experimenting with it now, and so is my colleague Michael, and it
    begins with this observation that it’s possible to use spaced
    repetition memory systems for more than just recall. So the the typical
    way to use them is like, OK, what’s this term? What’s this definition?
    And that’s cool. I mean, that’s useful. But you can also use them for,
    for instance, applying an idea. And in fact, in quantum country in the
    final chapter, we have these questions that look a little bit more like
    lightweight exercises from a textbook or something like that, that share
    the property of the recall prompts that you can kind of, you can do them
    in your head, they’re quite rapid. They’re semi fungible, they’re
    lightweight, but they’re things like what would the output of this
    circuit be? And these are different from the recall prompts and that
    they’re not the same. Every time you see them. So you’re actively not
    trying to remember the answer, but you’re trying to like go through the
    work of producing the answer.

    You can also write conceptual prompts, concepts distinguish themselves

    from declarative knowledge by focusing on how things relate to each
    other and kind of systems and structures.

    You can ask questions like for instance, when I was studying the history

    of philosophy, contrast positivism and existentialism.

    Now we’re making a connection, but in terms of developing a skill, like

    maybe you want to like learn to think in a Danological fashion or
    something. So you can also write a prompt that says, take a decision
    that you made this morning and it could be as simple as like deciding
    not to exercise when you normally would have and justify it or condemn
    it from a dentological perspective. And so this is like a task.

    So zooming out, I think space repetition becomes most powerful when we

    think about the items, not as flashcards, but as micro tasks and what
    the system is doing is batching. The transaction costs, which would
    normally be associated with orchestrating all of these tiny micro tasks
    that you could use to practice a skill or develop a worldview or
    self-author in some way, and putting them together so you can say like
    I’m going to do 10 minutes of like my self betterment session very
    broadly construed, and that’s going to involve remembering certain
    chess moves and also practicing this line of force motion in chess and
    also reflecting on logical positivism in a certain way. Uh, and so on
    and so forth.

    00:44:06 - Speaker 3: Yeah, that’s really interesting, and I’m, I’m

    wondering if you can extend it even further. So I think one element of
    space repetition is it’s kind of helping you with the mechanics of, OK,
    you commit to spending 10 minutes a day on this problem and we’re going
    to use the software system to make that really productive.

    You’re gonna see a lot of cards, for example.

    But I think another element is basically identifying what you need to

    get better at. In the case of memory, it’s pretty straightforward.
    It’s like the, the question. that you answered incorrectly last time or
    something like that, are the ones that you need to see now.

    But in the case of chess, for example, it might be that your endgame is

    weak, or you don’t know how to handle attacking knights or something,
    and that is potentially much harder to identify programmatically.

    But it seems like it’s also within reach. And so I’m curious about

    systems that both um help you mechanically, but also in kind of the same
    system, identify your weaknesses and where you can improve.

    00:44:48 - Speaker 1: There’s a lengthy history. of people trying to

    solve that particular problem, going back, I think now almost 5
    decades.

    For me, the most promising kind of subfield or sub approach is called

    intelligent tutoring systems.

    There are a few systems in the wild that have been commercially

    successful.

    The most notable is called Alex ALEKS. It’s an algebra tutor which has

    some fairly clever mechanics for identifying your weak points and then
    focusing practice time on on those.

    I would say that none of these systems has been wildly successful and

    the field as a whole has not been wildly successful.

    I don’t fully understand why.

    I’d like to spend some time studying that because it seems like a

    somewhat obvious progression once you kind of get into the space
    repetition space of trying to schedule stuff more efficiently, choose
    construct cards more effectively, perhaps dynamically. I have read some
    papers about people in the fields theories about why it hasn’t worked
    very well. They center on things like the non-regularity of topics. So
    an intelligent tutoring system on algebra will often share very little
    in common in its implementation with an intelligent tutoring system on
    geometry. They can share, you know, some kind of fundamental like
    modeling, the learner primitive type stuff, but the representation of
    the ontology is first off very difficult to construct and second off
    very. difficult to like systematize and encode in a consistent way
    across fields. My like personal hunch, and again, I haven’t read deeply
    into this, but my hunch is that part of why these systems have not been
    more effective in my practice is that they’re universally incredibly
    dreary. They, they have this intense feeling of being in a skinner box,
    like you’re a rat in a wheel, you are being fed. These like morsels of
    problem, and you like swallow, and then, OK, true, like, here’s another
    morsel, like, do this one next, and I think it may be possible to like,
    to recuperate the underlying conceptual ideas without the the
    interaction framework that they all employ.

    00:46:39 - Speaker 3: Yeah, very interesting. I check out that

    literature.

    00:46:40 - Speaker 2: So if we come to the meta side Of how tools for

    thought get developed.

    We all have some familiarity with the human-computer interaction

    academic field and dabbled in that in various ways, even if none of us
    are career academics.

    Then Andy, you ran a corporate R&D lab, which is sort of a one

    commercial approach to tackling innovation.

    We, uh Mark and I were part of An independent research lab, which was an

    experiment in that, uh, and then all of us in various ways have been
    part of either classic Silicon Valley startups or bigger innovative
    companies like Apple.

    And despite all of these, I feel like we still don’t have the level of

    attention, funding, and just people who are passionate about.

    Yeah, computers and more broadly information tools that can help us be

    smarter, more thoughtful, make better decisions, be self-actualized, all
    of that bicycle for the mind stuff. I’m still trying to figure it out
    why that is. What’s the, what’s the gap there?

    00:47:41 - Speaker 1: This is an ongoing mystery and a topic for

    discovery and discussion because in my mind, the wind condition for my
    work is not creating a particular tool for thought that that’s really
    powerful, but causing this to be a field. I view it as not a field right
    now. It’s kind of like this proto fields like some people doing stuff.
    We don’t have the Maxwell’s equations. We don’t have a powerful
    practice, but it kind of wants to be a field. I would really like it to
    be a field.

    00:48:04 - Speaker 2: And in order to get there, no one graduates from

    design school and says I’m going to go into Tools for Though.

    00:48:08 - Speaker 1: Well, I mean, some people have that intention, but

    they mostly don’t, and they mostly can’t.

    00:48:11 - Speaker 2: Yeah, can’t is a really good point. I we got a

    lot of emails that can switch with people saying, hey, I’m about to
    graduate from this design school or I’m working in a startup over here.
    How can I get into To this field, I kind of said, well, what field? I
    didn’t have, I didn’t have anything like an answer for them.

    00:48:27 - Speaker 1: I don’t think there is a good answer.

    Almost everybody who’s been successful, it’s difficult actually to say

    that anybody’s been terribly successful recently in this space, but
    anybody who’s had even moderate success has something weird going on.

    They’re like independently wealthy or they have some cash cow that

    they’re like milking in order to let them do this essentially
    economically unproductive activity, or they have like a whole bunch of
    connections that they’re using.

    I have been helped in my thinking on this recently by reading uh Nadia

    Eggbal’s new book Making in Public, which analyzes the economics of
    open source production, and there are some connections between the the
    challenges of trying to provision tools for thought, work and also the
    challenges of trying to provision work on. Open source. They both seem
    from an outside view to be kind of economically unproductive
    activities.

    Nadia’s insight that really helped me and that seems to have some

    analogs and tools for thought is that it makes sense to separate the way
    that we think about the economic model of consumption of open source
    from the economic model of production of open source. So when one
    consumes open source software, that is a non-excludable resource, so the
    code is just, you know, it’s available online, you can’t readily
    charge tolls for it. Uh, it’s also non-rival risk. So you downloading
    the code doesn’t really like make it more costly for me downloading the
    code. There’s very near zero marginal costs.

    The analog and tools for thought is once I like publish that paper. On

    the great idea I had in Muse. This is a non-excludable resource out
    there, and it’s also mostly non-rivals, you know, the 100th person
    consuming that paper and consuming those ideas. It doesn’t really cost
    any different from the 100th person.

    But the production looks pretty different. It’s a it’s a small country

    of people. It’s perhaps excludable, and there are some rivals elements
    in open source, for instance, Nadia characterizes it as being about
    attention. The scarce resource for the open source maintainer is their
    attention, they’re being bombarded by these like requests and like
    well-meaning people trying to contribute code and so on and so forth and
    it’s very draining and this actually makes the resource rival risk
    because the 1,000th contributor to the repository doesn’t cost 0
    additionally relative to the 100th contributor. And so one way to think
    about this that she suggests for open source that I think applies a bit
    for tools for thought and relates sort of the strategy that I’m
    pursuing now is we should think about funding production. Than funding
    consumption.

    Normally with media goods, we think about funding consumption. Like you

    go to the store and you buy the shrink wrapped package of software, and
    see like you’re buying a good, you’re buying an artifact. And when we
    think about commercializing or monetizing software, likewise, we think
    about the good or the artifact, or perhaps the services associated with
    it in the modern world, like I’m going to sell support services if I’m
    red hat or something, modern models might sell cloud services, but a
    different way to think about all this is to think about kind of verb
    instead of noun, funding the process of production rather than funding
    the The output of the production. This is more common in the arts,
    somewhat more familiar in the arts. Like if there’s a musician you
    really like, your contribution to buying their albums or whatever, like
    it’s probably not earning them very much money, but increasingly it’s
    a popular thing to like be part of their their fan club or sponsor them
    or something like this. And when you do that, when you sponsor the
    musician, it’s not really that you’re like buying a particular song or
    like buying an output, whatever. It’s more like, I like what you’re
    doing and I I I want you to keep doing it. I recognize that you need
    resources to keep doing what you’re doing. And I want you to have those
    resources. So like here I am funding your process.

    And that’s roughly a model that I’m exploring for tools for Though

    presently, wherein I’m soliciting funders to cover the production of
    what are typically public goods. So I’m going to sit here and like do
    this work and think about space repetition systems and the most
    prominent, the most useful long term results of that is going to be an
    essay, or even if it’s instantiated in software, and even if that
    software is proprietary, it’s going to be a set of ideas, interface
    ideas, which are instantly stealable. And so those are public goods, and
    it’s probably a lost cause to try to monetize either the essay or the
    like interface ideas in the software, yeah, file a patent on it, but
    like that’s not gonna work. And so instead, maybe we can think about
    supporting this stuff in terms of uh recently I’ve been phrasing it as
    like funding a grant, like an ongoing grant akin to the way that you
    would for an academic research lab, which also produces public goods.

    00:52:33 - Speaker 2: And it it sounds to me like you’re describing

    somewhat of a patronage model and you talked about this on a past
    podcast. in what’s happened with indie games, Steam Early Access and
    Kickstarter being the two channels there, um, and that that’s maybe a
    good example in a lot of ways, even though games are so different.

    It’s the upfront production is where the cost is. You do have to do it

    upfront. There’s several years of development by these, by, you know,
    whatever size team there is. And when people invest in that, yeah,
    they’re getting some things like access to a community and ability to
    influence the game and ability to play an early buggy one that probably
    isn’t very fun. And maybe that feels good for the person or it’s fun,
    but ultimately it’s more about wanting to support something they want
    to see exist in the world.

    And I see a similar thing happening with the boom and subscription

    newsletters. We’ll see, you know, whether that’s a bubble that will
    pop or something sustainable. I I hope closer to the latter, but I think
    it’s a similar thing, which is that people think this is someone and
    and probably that personal connection is part of it. When you get a
    subscription to I don’t know what the New York Times, there’s a maybe
    a similar thing there you’re saying, I want to fund good journalism.
    There’s something more powerful, I think about that individual creator,
    whether it’s the musician, whether it’s the indie game creator, uh,
    whether it’s the newsletter author where you you feel like you sort of
    know them as a person and what their work is and you’re really funding
    them because you believe in them and their worldview resonates and
    you’re sort of saying, I want, I want more of this in the world.

    00:54:00 - Speaker 1: This leads I think, to a significant challenge.

    It’s comparatively difficult or it seems comparatively difficult to
    fund teams with this model.

    Like a lot of the advantage does seem to be from this personal

    connection, you know, if you like go to my Patreon page, it’s it’s
    like it’s personal in a lot of ways. Like I’m writing like, here’s
    what I’m thinking about. Here’s what I’m anxious about. And you’re
    also perhaps there because of my presence in other places like you heard
    me on a podcast or you, you saw me on Twitter or whatever.

    If now this is like the team for the something game, it’s more diffuse.

    And then there’s also simply A matter of funding amounts.

    So it seems at this point pretty likely that Patreon is going to be able

    to raise an amount of money that can basically support me, which is
    exciting and kind of surprising to me, but very nice.

    Assuming that persists, I can continue producing public goods of this

    kind, but it seems unlikely that it could support a team.

    I really don’t see that happening. So I, I don’t quite know what that

    model is. And one of the things I’ve been thinking about is that if the
    main useful long term output of this kind of tools for thought research
    is not The specific software that is created, like we don’t use Ivan
    Sutherland’s sketchpad anymore, but rather the insights, then maybe
    it’s actually OK for some or all of software components of these
    elements to actually be proprietary.

    If you’re my patron, maybe what that means is that you’re funding my

    work, you’re funding my research. So that’s going to include essays,
    which are, you know, freely available and perhaps software which is used
    to produce the insights, those core insights that are captured in those
    essays. And if you’re a patron like that software is also freely
    available to you.

    But otherwise, The software is perhaps proprietary and perhaps generates

    revenue, which can then support a team.

    One of the other problems I have here is, is that I can’t do all the

    engineering work myself and also do great research. I kind of need long
    term, I need staff.

    00:55:44 - Speaker 3: Yeah, I do think the patronage model is really

    promising a few comments there.

    One is I tend to agree that it’s harder to find large teams with the

    model. I do suspect that small teams are actually possible.

    Another thought is, I think some of the most interesting work in this

    area leans a lot into community.

    So again, to draw a somewhat simple example from the gaming world, often

    if you support these gaming creators at different levels, you get access
    to like correspondingly elite Discord channels, which seems like it’s a
    small thing, but it’s actually a huge human needs, like be a part of
    community and and to believe in something that is important to you and
    to participate with your peers. So there’s actually a lot of um kind of
    community goods that one can provide as an independent creator or as a
    small team.

    Another interesting example there is Pladium Magazine, which is doing

    really interesting work on political economy. And they have different
    tiers for supporters and as you become a more substantial supporter, you
    can participate in things like salons or even interact directly with the
    team.

    Another idea to address the funding a team problem is, I think people

    don’t like to put money into big mushy pots.

    Yeah. Like you think about donating to some huge institution, you like,

    what’s it going to go to? Is it like going to go to some, I don’t
    know, like random building or like cutting the lawn? I don’t know,
    it’s not very exciting. Whereas with an individual creator, like I’m
    funding, you know, this work on the neonic medium, that’s awesome. And
    I wonder if you can get a little bit of both by having an institution,
    but also supporting more targeted funding. So it’s almost like you’re
    having a two-side marketplace for funding as an institution where these
    are the 5 projects that we want to potentially do research on and you
    can back individual projects, and once it’s reached a critical
    threshold, we’ll go ahead and do it. So if it feels like you have more
    agency over what your money is supporting.

    One other example there is you mentioned the work potentially being

    proprietary. This is actually well precedented with keyboards of all
    things, folks, you got to look up this, this. Crazy world of custom
    keyboards.

    00:57:27 - Speaker 2: Oh, it’s so you’re talking about the mechanical

    keyboard.

    00:57:29 - Speaker 3: Yeah, they’re usually mechanical and they do

    things like, you know, someone says, I’m going to make a keyboard.
    It’s going to cost you, I don’t know, $500. And if I get 200 orders
    for them, that’s enough money for me to do a production run in China.
    So I’ll do it. I mean, people pay 50 $500 for a keyboard, maybe
    they’ll pay $50 for, you know, a better note taking app or something,
    right? I think it’s it’s very possible.

    00:57:45 - Speaker 1: And and do those people also have patronage or or

    is is now just the product they’re selling?

    00:57:50 - Speaker 3: Yeah, I think it’s kind of both. So you’re. Yes,

    you’re covering the production costs, but also there’s this huge
    creative and entrepreneurial element where you have to ask to pull
    together the keyboard, like find the right key caps and get the right
    producer in China and arrange it all right. And so you’re also paying
    for that. It’s kind of an entrepreneurial activity in a way.

    00:58:04 - Speaker 1: And do they like open source the like CAD files

    and stuff? Is there like a public goods component at all in that world?

    00:58:10 - Speaker 3: Um, that’s a good question. I’m not sure.

    00:58:12 - Speaker 2: Yeah, I’ll link both the mechanical keyboard and

    subreddit, which is just fun to scroll through for the great photos.

    Uh, but also kind of relative to the what people are willing to spend

    side of it.

    There’s an article by Kevin Lainoff, if, if I’m not mistaken, that is

    basically an exercise in what could you price this out and, and they
    actually end up with a price that’s over 1000 or something like that.
    And again, it relates to people who are really, really into a very
    specific hobby. They like the fact that it’s this one time run. It
    feels very authentic. It’s just someone in their community, you know,
    it’s it’s not a ongoing commercial entity. It’s just a person in the
    community that has an idea for a unique thing to make that they want to
    share with everyone else. To your point, they’re willing to put down a
    lot of money to do that. And yeah, I think there’s a, it’s a very
    different kind of calculation when you think I’m supporting something I
    believe in. With the community I want to be a part of is a different,
    very different kind of transaction than I’m purchasing a product, I’m
    going to, you know, shop on whatever comparison sites, to get the lowest
    price I can. I’ll never ever meet or even have any idea who was. Behind
    making this product in the first place is very transactional,
    mechanical, just give me the cheapest, simplest thing that will solve my
    problems so I can move on with my life.

    00:59:28 - Speaker 1: Another related problem seems to be the arrivals

    to working on this kind of work have gotten more appealing.

    And this is kind of a different angle on your point about Instagram.

    When you look at PARC, it’s not so much that people there got paid a

    huge amount, actually, that the total budget for the projects that
    produce personal computing was not that large, but relative to the
    rivals, uh, relative to the universities that essentially would have
    been the employers for that staff, PARC was offering more than anybody.
    And so they were able to assemble basically all the really great
    computer scientists that existed uh in that period. It’s a bit of
    Overstatement, but they got a huge portion of them. Whereas now this
    work is competing with, you know, fairly lucrative jobs in the tech
    industry and in more than one way. So like, yes, it’s true if you’re
    young and you, you know, go work for Instagram, you’ll maybe make a
    quarter million dollars a year or more, but also in this kind of
    uncapped upside way. So if you are the kind of person who’s
    entrepreneurial and agenttic enough to pursue this kind of original
    technological work, you could probably be working on a startup and you
    could be getting uncapped upside. Whereas it seems fairly difficult to
    uh pursue a course of action that could yield uncapped upside in the
    tools for thought space nominally speaking. Uh, because of the kind of
    public goods elements, like the, the hardest thing that you do will be
    to come up with the elements that is novel, unique, and immediately
    stealable. And like, yes, you can start a startup around the, you know,
    the, the kind of the software around that, but uh you feel like you’ve
    shot yourself in the foot a little bit.

    01:00:56 - Speaker 3: I certainly think there’s a lot of truth to that.

    I just want to jump back to the absolute amounts and comment that I
    think that the amount of money you need to find really interesting
    projects in this space is in the scheme of things very.

    Small. It’s gonna be a fair amount to any individual person or any

    normal individual person, but just the absolute amount in terms of what
    we spend on random funded startups or what our various levels of
    government spend is just quite small. That, that makes me optimistic
    that there’s a way to make this work.

    Um, on the opportunity cost thing, I think that cuts both ways. Like,

    yes, it’s the case that people can go to the Googles and the Facebooks
    and earn a lot of money, but we’ve also seen with the lab that people
    really value doing this rewarding, interesting, unique work and it’s
    accessible to a broader set of people.

    So like, is remote because we have a broader hiring funnel and so on. I

    also think there’s a time and a dynamic element here where you don’t
    need to spend your whole career doing research.

    Actually, one of the ideas behind the lab, use the spin out and kind of

    the whole group there is that we expect people to rotate over time. So
    it’s not just you’re not just a career researcher or a queer
    entrepreneur, you actually get a lot of dynamism from going back and
    forth. You get different benefits in each world and then actually going
    all the way back to our conversation about full-time toolmakers versus
    practitioners. you help solve that problem. You spend maybe 4 or 8 years
    in one domain and then you switch over and you get that hybridization.

    01:02:10 - Speaker 2: I’ll fill in that I think the funding it through

    commercial products. We said the paying for the for the result rather
    than the process.

    01:02:19 - Speaker 1: Sure, yeah, yeah, kind of paying for the output of

    the artifact rather than paying for the production of it. Yeah.

    01:02:24 - Speaker 2: Obviously we’re pursuing the paying for the

    artifact path with umm that we’re we’re selling this product
    commercially if you want, kind of, but like it’s subsequent.

    01:02:31 - Speaker 1: To the paying for the production element of I and

    Switch.

    01:02:36 - Speaker 2: That’s right, yeah. Um, well, I almost wonder if

    there’s a progression there a little bit, which is ink and Switch was
    very much just a small amount of money, grant money that was people that
    want, you know, some people that wanted to see this thing, see a certain
    kind of research done in the world and very much public goods, we
    published everything as we open sourced as much as we could. That was
    the whole point of that.

    And then the spin out commercial entity now we’re in a state where

    probably we’re close. to that kind of patronage Kickstarter level,
    which is, you know, I think a lot of the people that purchase the
    product, now they’re thinking it’s less about does the exact feature
    set that exists today, you know, how does is that exactly what I want or
    is that that, you know, worth the price and more that they’re thinking,
    I believe this team over the next period of time that my subscription
    covers is going to make great things and it’s going to make this
    product even better into something that fits into my workflow into my
    life, enhances things for me, enhances things for others.

    And you can imagine fast forwarding a few years when the product is much

    more complete, uh, that at that point maybe it does come more
    transactional.

    No one cares about funding the the team or the long term thing, it’s

    just more about now it’s a good product, it’s very full featured and
    has been developed over a long period. Time and so they’re going to
    spend money that the price they pay is, is much more of a transaction to
    just get this thing that does solve an immediate problem for them and
    they’re not worried about the future or the team behind it or the
    community element. So you can see that as sort of a three stage
    progression. Uh, at least I hope or imagine that could happen here and I
    could also imagine it happening with, with other things including
    something like the pneumonic medium or other uh research work that I’ve
    seen in process, but the making that transition step to step to step
    that I think is another place where Mark and I talked about that in our
    HCI episode that that I think is another weak point in the the field if
    we can if we can call it that.

    01:04:25 - Speaker 1: Totally. I think that. Progression is, is likely

    to happen in my work. And one of the things that seems to create the
    weak points and is likely to create them in my work is that it’s not
    always the same people who want to be working on these, these different
    things. That’s both a weakness and the strength. Maybe I don’t feel
    like doing the production maintenance of a commercial piece of software
    like that that’s just not what gives me joy to today.

    01:04:55 - Speaker 2: But there’s like a lot of people who really like

    just like churning through task lists, and they love like the feeling of
    like, check, check, check, check, and Those people will be like really
    well suited to be on the engineering team for, you know, long term I’ll
    note you even reveal your proclivities by saying turning through
    taskless, because some someone that has more of the mindset of wanting
    to keep a real existing thing running and serving people’s needs, they
    would say, I don’t want to just think big floaty thoughts about
    something that could exist in the future. I want to deliver real value
    today by building production software and shipping it to customers,
    right?

    01:05:17 - Speaker 1: For sure. And and so if you’re someone who values

    the big floaty thoughts, and you want this, this big floaty thought that
    you’ve kind of tethered to earth to actually live long term, you got to
    find somebody who enjoys the other stuff to come and pick it up and take
    control. That seems like a weak point in the process. Reminds me of tech
    transfer in universities, tech transfer.

    01:05:36 - Speaker 2: I don’t know if I know that concept.

    01:05:38 - Speaker 1: It’s how many of the top tier research

    universities actually get most of their funding these days. Uh, my alma
    mater, the plurality of its funding comes from this.

    I think it’s true of Stanford too, but essentially, uh, the model is

    that professors are paid for mostly by public grants, and IH NSF, things
    like that in the sciences anyway, and they produce mostly public goods.
    They publish papers and so on, but also sometimes they They file patents
    on those things when they are patentable things or they do spin off
    startups or their advisors to startups or something like that and the
    university gets a cut.

    Uh, and so a great deal of Stanford’s wealth, for instance, comes from

    the patents which underlies gene tech for recombinant DNA and uh Google
    as well.

    01:06:18 - Speaker 2: Another piece of the funding spectrum. Is

    corporate R&D labs, which Xerox Park famously was Bell Labs and the one
    I often use as as inspiration. Now that was quite unusual in that it was
    a corporate R&D lab for the largest monopoly business, I think that is
    certainly ever been in information technology. But Andy, you had your,
    your at least brief run at doing uh on the corporate R&D side. How do
    you think that fits into this?

    01:06:43 - Speaker 1: It’s really challenging. I spent a lot of time

    studying the players in this space and mostly came away with a pretty
    bleak perspective.

    My own work at Khan Academy was kind of weird because Khan Academy is a

    nonprofit. So that the motivations are somewhat different there.

    But even just looking at the for-profit space, it’s difficult for me to

    get excited about corporate research labs as an institutional model,
    speaking to some of the people involved in setting up and tearing down
    Microsoft research, that really was not terribly successful for the
    company and indeed was like successful in these other ways of creating a
    sink that could keep talent from Going and starting startups in Seattle,
    for instance, is like actually a useful and positive effect that made it
    worth funding for, you know, Bell Labs had it was this kind of this
    chaff to dodge antitrust litigation seems to be the prominent reason it
    got so much funding. It did actually generate a ton of value for the
    parent company.

    And Park, you know, I mean, there’s this fumbling the future phrase

    that goes around. The fun thing is that Park actually was profitable for
    Xerox, just barely because of laser printers, not because of personal
    computers.

    Yeah, Apple’s corporate research uh was really not successful. Um,

    I’ve been having difficulty learning as as much as I would like to
    about Dolby. Uh, which does actually seem to be pretty successful. But
    another fairly successful example is Pixar. And one thing that I think
    really distinguishes Pixar’s corporate research is that there’s
    cutting edge graphics research that goes on there, but it it is very
    much in service of these creative films. They are huge money generators.

    01:08:08 - Speaker 2: Well, maybe that creates the connection and is

    always one of the challenges is the disconnect between the uh the mad
    scientists off thinking the big thoughts and the real world problems
    that those can be applied to and Yeah, having the the graphics
    researchers need to turn around and produce an algorithm or even work
    code for the new movie that’s coming out on a particular deadline and
    there’s a lot of money at stake for maybe that creates some realness or
    or as a way to, as you said, tether the the thought balloon to the earth
    a little bit.

    01:08:38 - Speaker 1: One of the challenges that seems to exist for all

    these labs that Pixar manages to avoid the mechanism you just described
    and also existed at Khan Academy, which is a nonprofit so it had, you
    know.

    Interestingly different funding issues is just this, um this challenge

    of tech transition.

    So even the lab comes up with an idea, we came up with the laser

    printer, we came up with a personal computer, we have the Alto, we have
    the star, you know, whatever. And like, we want to get it out in the
    world and have it be a major corporate strategic priority. This is often
    the point where things fall over because if if the research really is
    cutting edge, often it will mean at the highest level shifting the
    company’s strategic objectives to really Capitalize on that technology.
    It’s difficult to find organizations that have done that consistently.
    Pixar makes use of their research, but I think in general, capitalizing
    on really great like water rendering technology or whatever doesn’t
    require shifting the highest level corporate strategy.

    01:09:25 - Speaker 3: Yeah, Ben Reinhardt has done some really

    interesting research on this topic in the context of DARPA. I highly
    recommend checking out his work and one of the insights from the world
    of DARPA and military.

    Or dual use technology transfer is that it’s extremely dependent on

    thick social networks that are formed largely because of DARPA’s work,
    and this I think points to another gap or opportunity, which is the kind
    of institutional and community side, where if you have a place for
    people to congregate and to gather and to form social connections, it
    can really fertilize the creative work of the industry.

    And we saw this a little bit with ink and Switch, you know, we had a

    very modest community effort.

    It was Slack channel. We had some articles published, we would tweet

    some things, but even just that got all kinds of amazing people to come
    out of the woodwork and say, you know, I’m working on this too, or this
    idea or what do you think about this or how can I contribute? And I can
    only imagine if someone invested a lot more in something like that,
    you’d see correspondingly more results.

    01:10:17 - Speaker 1: I’d love to make that happen. It was briefly a

    kind of a high goal for the year until I realized that I couldn’t
    really achieve the other things that seemed important if I pursued that.
    So one thing I observed is that these kind of community efforts do seem
    to be like the result of times of plenty. DARPA, uh, especially in its
    heady days with just like excessive funding, is able to devote resources
    to this in a way that seems difficult.

    01:10:39 - Speaker 3: But I think DARPA is also an interesting example

    of how, again, the absolute amount needed is not that big. Like the
    number of people at the very core of DARPA is quite small.

    01:10:47 - Speaker 1: Yeah, maybe I’m just thinking too small here.

    01:10:49 - Speaker 2: The time of plenty point, I think seems right,

    which is what we’re talking about is investing in the future.

    Our particular niche and interest is this, this tools for thought. Um,

    but in general, being willing to invest in the longer term, 5 years out,
    10 years out, and more.

    There’s a few things that drive that.

    There’s military is just a huge one because that’s just always an

    existential question for a nation. It’s also things like and of course,
    the space race with a lot of the stuff that led to the internet and a
    lot of those technologies was at its core connected to a sort of a
    military dominance or perception of that uh between the world
    superpowers at the time.

    Or you have something like Bell Labs, which, as you said, you know, this

    antitrust thing, this, this huge monopoly with so much money to spend
    and so sort of in their interest and and government funding generally,
    the larger pool to draw from potentially and a willingness for longer
    time horizons.

    And corporate R&D labs are always tough because they’re always when

    times get a little tough and there’s always the up and down, you’re
    going to look a little shorter term, of course, the first thing to go is
    the dreamers that are that are looking further out. And that’s fair
    enough. I don’t, I don’t think that’s a very pragmatic and reasonable
    choice, but then that that comes back to well, is that a is that a way
    to fund our future and at least the evidence seems to be despite some a
    few cases, a few exceptional cases like PARC, uh, that that’s not
    really very. sustainable or repeatable.

    01:12:14 - Speaker 1: It’s interesting to look at HHMI’s funding

    practices versus the NIH’s funding practices of targeting specific
    researchers and trying to give them consistent funding over longer
    periods of time. What I feel differently about spending a lot of time
    right now on like community organizing, if I had something like an
    endowment. Um, I probably would, and it’s weird because like I’m not,
    I’m not really bleeding. I am in the red, but it’s, it’s not so much
    that I don’t want to do it because it feels like ultra ultra urgent to
    resolve that. It’s more that there’s a feeling of not being on steady
    ground. Yeah.

    01:12:49 - Speaker 3: I think the future is still, I’ve written here,

    we’ve talked a lot about structural issues like funding and things like
    that, but a huge element is just the individual will and passion to see
    something change in the space. And I think Andy is a great example of
    that. There’s all kinds of currents that make that kind of work very
    challenging, but he’s succeeded because of his will and talent and
    persistence. I would invite more people to just try to take that on.

    01:13:14 - Speaker 1: It’s very kind. Thank you, Mark.

    01:13:15 - Speaker 2: B like Andy, I like that. Well, if any of our

    listeners out there have feedback, feel free to reach out to us at
    @museapphq on Twitter or hello at museapp.com by email. We always like
    to hear your reactions to anything we’ve talked about and we’d like to
    hear your ideas for future episodes. Andy, thanks so much for joining us
    today and talking about these areas of mutual interest. Thanks y’all.

    01:13:37 - Speaker 1: This was a really fun conversation. Thanks, Andy.

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    Show notes

    00:00:00 - Speaker 1: Because oftentimes when we launch startups, we are

    very keen to tell the world why we’re so different and so unique, but
    we often forget to tell them why we’re equally good as what what’s
    already there.

    00:00:17 - Speaker 2: Hello and welcome to Meta Muse. Muse is software

    for your iPad that helps you with ideation and problem solving.

    This podcast isn’t about Muse the product, it’s about Muse the company

    and the small team behind it.

    I’m here today with my colleague Mark McGranaghan. Hey Adam, and our

    investor Lisa Ankle. Hey, this is quite an impressive use of internet
    technology, I think, because Lisa, you’re in Singapore. I believe it’s
    9 p.m. for you. Mark, you’re in Seattle. It’s 6. a.m. for you, and
    I’m here in Berlin at 3 p.m. So this is truly a globe spanning call,
    but it works. Seems to be. So Lisa, welcome to the to the podcast, and
    can you tell us a little bit about yourself?

    00:00:55 - Speaker 1: Yeah, thank you. So I’m Swedish person living

    here in uh in Singapore, have been here for a couple of years, have a
    background in working for startups, often as an early employee, and for
    the past 2.5 years I’ve been part of building out a VC firm. Called
    Antlers. So we actually run startup generator programs where we help
    individuals find their co-founders and then launch startups and then we
    invest in the best teams. On the side, privately, I also do a couple of
    angel investments, um, a few here and there, select ones, and then my
    background is in, in marketing and product primarily on the growth side.

    00:01:29 - Speaker 2: One of the things that caught my attention about

    Antler, in addition to its, I guess from my point of view, uh, exotic
    location. Uh, is that it’s taking some of the, I guess, accelerator
    model pioneered by by combinator and others, and sort of bringing that
    to, uh, to this new place. But also I think it has just very nice
    branding marketing presentation. And I feel like that may even be more
    important for a for an accelerator who’s constantly recruiting
    companies, you’re a two sided marketplace in a way, right? You’re
    connecting companies with investors, right? And so being Uh, being
    something that presents itself in a way that’s interesting, attractive,
    appealing to both of those parties, uh, seems quite important.

    00:02:09 - Speaker 1: It definitely is, and I think it’s, it’s hard

    because we want to convince entrepreneurs like yourselves that it’s
    better to to launch a company together with us than to do it, to do it
    alone and to to kind of convince entrepreneurs, it’s a very hard, I
    think, persona. To, to crack. So we try to work with kind of repeat
    entrepreneurs and very experienced founders. Yeah, and then also
    establish ourselves as a trustworthy investor. So it’s definitely those
    kind of two sides that you mentioned.

    00:02:34 - Speaker 2: Great. Well, I think that the topic we want to do

    today is authentic marketing, and you sort of suggested this based on uh
    the couple episodes ago we talked with Max Schoening from GitHub. And I
    think we were talking more about product things, but that naturally
    drifted into this, uh, into this field. And um he talked a bit about the
    being close to product and even what it means to, you know, what is the
    marketing playbook in 2020. Uh, and in many ways, he felt like authentic
    marketing is one that that doesn’t have much of a playbook or you’re
    doing things that are new and special to you or speaking with your voice
    in a way that makes sense for The audience for your your product. But of
    course at the same time, while just saying there’s no playbook,
    obviously marketing is a skill. It is a whole career field. And in fact,
    I was reminded of a podcast I heard recently with Patrick McKenzie where
    he basically described his whole career as being built around taking
    concepts from the marketing world and bringing repackaging them for
    engineers who typically don’t appreciate the depth of that skill and
    then repackaging that in a way. That it’s comprehensible and makes
    sense to them.

    00:03:40 - Speaker 1: I think the episode you had with Max was super

    interesting, especially around the product principles and kind of having
    them, having them in place, and it reminded me quite a bit of what you
    also talked about the company values and the importance of, of choosing
    what not to do because it’s so easy to say with this, this, this and
    that, and by choosing everything you don’t have any decision making in
    the company and I think that’s kind of ties into very much around the
    marketing and Positioning as well because you want to be for everyone
    and you want to be this wide, you know, very broad and wide thing and
    you don’t want to exclude anyone, but by doing so, you also don’t
    help, you know, the customers or the potential users to to navigate or
    or to understand you better. So I think that was a very good kind of
    similarity.

    00:04:23 - Speaker 2: Yeah, if you’re everything for everyone, then

    you’re someone understand what you are. Yeah, yeah, yeah.

    00:04:29 - Speaker 2: Well, maybe that naturally leads to a conversation

    you and I have been having here as we are gearing up towards our product
    launch and thinking about how we want to explain news to a wider
    audience. We have our kind of our core group of people who’ve been
    following our story, maybe even back to the research lab days, and if
    they, I don’t know, read our 5000 word research article and listen to
    Mark and I talk on the podcast for 10 hours, they can understand the
    product, but we’re trying to find a way to package that a little bit
    more tightly so that more people can get access to that message. And and
    one of the things that has come up there in our conversations or as
    you’ve been, have been advising us is what category are we in? And this
    is honestly a real struggle because it’s important to put yourself in a
    category that’s an easy way for someone to understand what you are. Are
    you a car? Are you a kitchen knife? Are you a word processor? Are you a
    photo editing program? And of course, you can be new and different and
    better, but starting with, here’s what it is, you know, Google Docs
    maybe was quite different. In some ways than what came before, but
    ultimately, you could have described it as well. It’s Microsoft Word,
    but on the web. Um, but we’ve really struggled with this at Muse. What’s
    your take on the the sort of the category question and how it fits into
    the larger positioning topic?

    00:05:41 - Speaker 1: Yeah, you’re not alone in feeling this way. It

    was the same when we started Antler. It’s been the same with multiple
    startups I worked with. It’s really hard to kind of choose because
    oftentimes you actually do something new. That’s why you’re a startup
    and you don’t want to be like someone else. It’s already out there,
    but I think the risk of not choosing is so high, so you kind of have to
    choose, even if you choose something that you’re not super happy with.

    I tried to compare it with like, if you walk around in a grocery store,

    you want to know what shelf you’re gonna go to, if you want to find the
    nuts or the dried fruits or going to the candy shelf or going to the
    fruit stand, and by positioning yourself next to the fresh fruits or
    next to the candy, it tells a lot about your brand and if you are kind
    of a healthy snack or if you are not a healthy snack, like the peanuts,
    the salted peanuts will be. Next to the chips and candy, right? But then
    if you have a whatever nature bar, they will be next to the fruits. So
    it does tell a story.

    I think it’s important to take, to have the discussion and to take it,

    and you may not land in something that feels completely right because
    it’s new, so you will feel a bit uncomfortable. But if you don’t
    choose, then others will choose for you. And that’s the big risk. Then
    you will have journalists, users and customers, and they will start
    calling you things and they will all start calling you different things,
    and that’s horrible for SEO and it’s really bad. Uh, because no one
    will remember you.

    So even if you choose something that’s not awesome, at least you have

    something and you can be consistent.

    00:07:00 - Speaker 3: This reflects my experience talking with friends

    and family about Muse.

    Initially, I would try to describe the app from first principles in

    terms of all the novel things that we’re doing and the the unique
    interaction model and man, people had a really tough time understanding
    what it was.

    But once I started describing it in terms of things they were familiar

    with, note taking apps, personal. Information management, those are the
    two main ones. I really stuck better and then you could give them the
    deltas, you know, it’s that, but here are the deltas and the deaths.
    It’s Microsoft Word, but it’s on the web. People get excited about on
    the web and likewise, we have a series of deltas for use that was quite
    effective. Although I had never thought about the people start to pick
    names for you angle, which uh now that you mentioned it seems quite
    important.

    00:07:36 - Speaker 2: And sometimes that’s good. You want to wait and

    see how people describe you and then maybe adopt that because in many
    cases, the target audience or The people who want what you’re offering
    are actually better able to find the right words.

    00:07:50 - Speaker 1: The problem with doing that is that your very

    smart customers are not, they don’t have a big following, maybe some
    do, but some of them may not have a big following online and the people
    who do are the tech journalists, and they might not have time to think
    this through, and they take a concept they already know and they will
    just splash it onto the article and then there you are.

    00:08:10 - Speaker 2: Yeah, when it comes to journalists and even

    reviewers that go relatively deep, you know, in the end, they need to
    crank through a lot of articles or reviews or whatever it is they’re
    doing in a relatively short period of time. They don’t have weeks and
    months to get deeply familiar with your product and your philosophies
    and your all the ideas you’re trying to to share. So of course,
    they’re going to look for the, the shorthand.

    So if you don’t, if you don’t give them that shorthand, then yeah, you

    risk a lot of just fragmented. Sort of description. Yeah, for me, this
    was the very point. Once we got into this discussion, I started working
    through this, uh, it, it really called back to me to my Hiroku
    experience. And so here when we were working on this platform for web
    deployment in the late, uh, sort of like 2008ish period, and we ran into
    the same problem because there was this clear, I guess you call it
    category which was hosting, but in many ways it had all these.
    Associations really led people in the wrong direction, particularly the
    historic kind of shared hosting FDP and PHP kind of stuff. Um, and cloud
    didn’t exist yet and cloud infrastructure didn’t exist.

    And eventually we did go along with an industry term which was platform

    as a service. In some ways I was never that great. I don’t think
    customers are like, I don’t know, industry analysts would use that, but
    customers didn’t really use it. They didn’t, they didn’t really think
    of it that way. Um, and, and we struggled with it for a long, long time,
    basically, as long as I was there, and many years later, I don’t know,
    10 years after we started the company is when the industry settled on
    some terms. One was containerization, that’s for the Dockers and
    Cougarneti stuff, you know, at Hiroku we made up this weird word dino.
    Because there was, there was nothing that that behaved in this way. And
    so we needed a new word for it. And eventually the industry came up with
    a word which was container.

    And later on, there’s another cat there was a category or a name for

    this type of platform, which is serverless. Now that’s a well known
    space. And we even had like a no servers or forget about servers, that
    was part of our message, but it just, it wasn’t a category. We were
    just doing this weird thing that no one could understand and then yes,
    exactly that problem.

    Customers, journalists, colleagues, investors, whatever else they want

    to stick you into this, into a category that isn’t a good fit. And then
    yeah, I don’t know it was this, it was this constant struggle. In the
    end it worked out for us, I guess, because we’re doing something that I
    think was different and special and, and, and ultimately people. Enough
    people got it, uh, to make the business successful, but still, it was a
    constant source of pain for me personally, not only to just, I don’t
    know, write a good homepage or something, but also even what I usually
    call just the cocktail party experience, which is just what Mark, you
    just said, Mark, which is chatting with someone that you haven’t caught
    up with in a long time, whether or not they’re tech industry people are
    not around the dinner table at a family event, and they say, what are
    you doing? And you want to like sum it up in a couple of sentences and
    Just could never do it and just people were left scratching their head
    and they thought that I was being withholding or I didn’t want to tell
    them and that wasn’t it. It was like, well, no, you know, I need to sit
    you down and give you a 20 minute lecture on the history of web
    development so you can understand this product. And yeah, no, that was
    always pretty unsatisfying.

    00:11:12 - Speaker 1: Yeah, and I think we had the fear of ending up in

    the wrong.

    That really drove my initiatives when we, when we launched and started

    answer.

    I did not want it to be in the bucket of incubators because in Singapore

    alone there are 53 different incubators, most of them, I mean, of
    course, some of them are great, but many of them belong to corporates
    and I mean, I’m gonna sound like a bitch, but nothing good has ever
    come out of them.

    And we didn’t want to be in that bucket because we wanted to build

    great companies and then we also didn’t want to be an accelerator
    because that’s a bit different because then you take in an existing
    team with an existing product and you help them accelerate their
    growth.

    We brought founders together, you know, in the first place and helped

    them navigate what product to build in the first place and then invest.

    So therefore we, we kind of landed after a lot of pain in the term

    startup generator that we were generating startups and we’ve been
    sticking to it for 2.5 years and now.

    We talk about ourselves more as a VC firm because we’re also now doing

    a little bit later stage investments as well that we are expanding. So
    now we have VC firms, and now I’m just a VC kind of boring, but that’s
    life.

    And I think, I think that was necessary for us to kind of stand out when

    we were launching that to tell the story that we were different from
    from these incubators you would know or the accelerators you would know.

    00:12:24 - Speaker 2: That’s a and and maybe a good illustration of

    someone’s gonna, you know, pick words for you. I think I described you
    as an accelerator there just 5 minutes ago or something, something like
    that. So. It’s the, it’s the easy thing to reach for. I I know that. I
    know that term. I, I have a space for it in my mind, and that’s that
    positioning concept kind of calling back to the 1980 seminal seminal
    book just titled Positioning is it’s all about that space in a
    person’s mind and we all have busy lives and we have a lot of
    information coming to us all the time and you just you you always reach
    for that quick shorthand. Yeah.

    00:12:59 - Speaker 3: So, I’m curious if you’re going to position a

    product or service and you want to be in a space like to stand out in
    that space. Um, we go back to the Google Docs example of you’re in the
    word processor space, but it has this unique aspect. Are there
    particular techniques for doing that so that you stand out effectively?

    00:13:14 - Speaker 1: Yeah, so there is actually a framework that I

    often use. It’s called the points of parity and points of difference
    because oftentimes when we launch startups, we are very keen to tell the
    world why we’re so different and so unique, but we often forget to tell
    them why we’re equally good as what what’s already there. So let’s
    say I’m starting a neobank. I might want to share that actually the
    transactions are safe or your money. safe with me, sending some basic
    comfort to the end user that I’m not this crazy startup, we have, you
    know, whatever it might be encryption or it’s super safe or stable or
    something like that. FDIC insurance. Yeah, all those things that comfort
    the end user to like, OK, this is something I can trust. This is, this
    is, it might be new, but at least I can actually trust it. So that would
    be the points of parity. How am I as good as the others in this.
    Category. And then once you have a couple of points of parity, you would
    add on your points of difference. So, OK, this is stable, it’s safe,
    it’s secure. However, we’re also pink and purple and glitter. So
    we’re all these like startup sparkly difference, but you can still rely
    on us just as you can with your old bank. So that is called the points
    of parody and the points of difference, and I think it’s very useful,
    especially for very early startups who are just Starting up who have no
    trust and people are a little bit skeptical in the beginning.

    00:14:34 - Speaker 2: Yeah, that certainly makes sense. I think in a

    way, entrepreneurs are people who maybe thrive on or have the
    personality to be different, stand out, be the purple cow, carve their
    own path, the rebels, what have you. And so then naturally, when it
    comes to talking about what you’re doing, or pitching it or trying to
    explain it, you get really going to focus on here’s what’s different.
    But here’s what’s the same is actually something that, you know, even
    now as we’re talking about it, I think we could probably do a lot more
    of that with Muse.

    00:15:03 - Speaker 1: Because that’s why you’re building something

    new. Like that’s like that because that’s why you’re here and and so
    it should be that way, but I think for the regular user or potential
    customer, they need to be, you know, feel comfortable in starting using.
    Aha, it’s the same thing as, but with these new additions.

    00:15:19 - Speaker 2: It just gives you a mental reference point, maybe

    the bank example uh company that I really love their product is N26,
    which is this Berlin-based bank.

    I think they’re starting to spread global now, but you know, it’s just

    a sort of a bank account you put money in and they give you a Mastercard
    or whatever that you can spend money with.

    But the thing that makes them different is they have a really nice user

    experience and a great mobile app and it’s 100% virtual. I really love
    the product. I also think the marketing is really good, but they do
    start with that place of, it’s a bank account, you can put money into
    it, and here’s a Mastercard so you can spend money.

    00:15:52 - Speaker 1: Yeah, another example is on telco here in

    Singapore called Circles.life. They are very clear. We use them and they
    are very clear like, yes, you will have kind of reception like all over
    the country.

    We have good, yeah, you have good data if fast, whatever, but then in

    addition, we have no stores, so you don’t need to stand in line and
    hand in your documents.

    We have someone ship the SIM card to your home. And then you just show

    the ID as you accept the SIM card and we do everything in an app, which
    is different from standing, taking this like, you know, standing in line
    and waiting to get a SIM card, which is how you do it otherwise in
    Singapore.

    00:16:25 - Speaker 2: Yeah, when it comes to the invented category or

    give a new name to something, you mentioned the startup generator,
    there’s the platforms of service, serverless thing.

    And I was just looking back at my notes for the positioning book and

    they, because it’s an older book, they talk about examples like say
    Xerox. which invented effectively what we now call a copier, but for a
    while, Xerox and copier were synonymous, and that’s the, that’s the
    reward to inventing a new category is your, your brand name actually
    becomes the generic name Kleenex, I think is often listed in that. They
    also mention Polaroid, for example, sort of instant instant photography,
    that if you can invent a new category and give it a name and maybe your
    your company name becomes the name of that category and you own. That
    category in a very impressive way. Um, but it’s very hard to do that. I
    think it takes a lot of time. I think it takes a lot of just money,
    basically to get the to get the reach, um, and that’s probably
    something that’s more suited to a company with big venture backing or a
    big corporate parent. Uh, to be able to push it over the long term.

    And we explored that a little bit with Muse, our, our very first web

    page had the your thinking canvas was kind of the description of it, but
    also we were trying to, I guess not quite invented category. I don’t
    think I would have thought of it that way then, but that that’s how I
    wanted to describe it. And pretty naturally that fits to other kinds of
    thinking canvases, which include digital products like Millanote and
    Figma and Miro, but also include real world products, which is I think a
    whiteboard is thinking canvas, a sketchbook is a thinking canvas, a
    chalkboard is a thinking canvas, post it, stuck to your wall as a
    thinking canvas. Um, so that was kind of, kind of the idea we wanted to
    go with that. But yeah, I think the conclusion I came to is that just a
    small team like ours just can’t. we can’t define a whole new, new
    category in that way. Uh, now, what we’ll do instead is still sort of
    TBD we’re still working through, I guess. So another topic in the space
    of authentic marketing is personal aspirations versus solving problems,
    and I think Mark, you had some thoughts on this.

    00:18:22 - Speaker 3: I feel like every few months you see one of these

    Twitter threads where someone is arguing one of three positions.

    The first is that you should describe your product in terms of problems

    to be solved. You tell your customer you have problems X, Y, and Z, this
    tool will help you solve them.

    Sometimes you see people advocating for uh the aspirational model, which

    is the type of person you want to be. I go, I go back to the classic
    iPod ads, where you’re just kind of this dancing, energetic, brilliant
    silhouette, you know, you want to be like that, so you get an iPod.

    Um, or perhaps the more utilitarian approach where you just say what the

    product does, and that’s it. Pro X, Y, and Z, you figure out what it’s
    for and if it’s, if it’s right for you. And I feel like there’s
    always a tension between those three approaches in marketing.

    00:18:59 - Speaker 2: I feel like it’s especially relevant to the

    prosumer class of of product, which, which we are in because it’s
    something you buy for yourself, but it’s expensive enough that it’s,
    you want to buy it because it helps you be better in your work life.

    Most likely, it helps you be more successful at how you earn your

    living, and so yeah, the the iPod is consumer so that quite naturally
    fits with, I think the kind of aspirational, who do you want to be or
    what, what kind of lifestyle do you want to live, which certainly I
    don’t know, even things like bottled water and so on are sold in that
    way, like the advertisements show the product very little and instead
    they show smiling happy people uh living lovely lives.

    And you think if I buy this product, they’ll be like that, and then

    maybe the utilitarian one you described that probably works pretty well
    for certain kinds of B2BA or just enterprise software where there’s
    just a person working in a business that has a very specific problem to
    solve. They have budget to solve it and if you can articulate their
    problem clearly and convince them that your product is trustable and a
    solution to their problem, then OK, great, there’s the fit. But when
    maybe when you get to the prosumer stuff, particularly in this current
    time, um, I’m thinking of this article signaling as a service like that
    in the show notes here, but I think there they talk about, for example,
    things like superhuman, and so the idea that it has this kind of elite
    thing to it because it’s invitation only and because of the price point
    and then you get the little, you know, you put the little tagline in
    your signature or similarly, I think a similar thing has happened with
    uh hey, hey.com email, brilliantly marketed, of course, those uh the
    base camp guys. They are always great at that, but I think there’s an
    element of this where you can’t use a custom domain and actually
    getting your hey.com domain name, and the people that even just tweet
    their I guess their their hey.com email, they tweet that out and it’s a
    way of saying, hey, I’m cool, I’m, yeah, it’s a kind of, it’s a kind
    of signaling. um, and there’s nothing. Let’s say there’s anything
    wrong with that exactly, but in theory, they are for helping you be more
    productive, creative, better at your work, more informed citizen, that
    sort of thing, rather than a handbag that, you know, is going to impress
    others. Uh, so yeah, there’s, there’s an interesting tension there.

    00:21:05 - Speaker 3: So maybe there’s, there’s two variants of the

    aspirational side. There’s this, uh, more outwards facing uh status
    signaling type aspiration, which OK, has its place, I guess. To me, the
    more interesting variant is when you’re aspiring to something for
    yourself. So let me tell you a little story, Adam, you recall that we
    went to the Trinity Library in Dublin. Yeah, it’s this incredible. Like
    if you Google like amazing libraries, the first image that shows up,
    right? I don’t know that’s literally true, but you know what I mean.

    00:21:31 - Speaker 2: I’ve seen it as a slide in a lot of

    presentations. Um, there’s actually I think a photo of me, you and you,
    Lea, because that was sort of our first real team summit. Uh, right
    there in that library. But yeah, now I recognize it all over the place.
    It’s very distinctive, this long hallway with the kind of the dark wood
    and what have you.

    00:21:48 - Speaker 3: Yeah. Yeah, anyways, I remember very vividly when

    I was in that hall, I felt like, man, I should be writing a book, you
    know, isn’t that isn’t that what one should be doing with one’s life?
    And I feel like you get a smaller but still um visual sense of that when
    you’re holding a really nice leather notebook, you’re like, man, I
    should be, I feel like I should be taking notes or like doing a creative
    project, right? And I think that’s something that prosumer digital
    tools can tap into. It’s a sense that A tool just by virtue of its
    quality can make you aspire to do more creative work.

    00:22:13 - Speaker 1: And I think a place we often fall into, especially

    if you have like software products, is that instead of talking about how
    this thing will help you, a lot of website actually describes different
    features, feature A, feature B, feature C, so or it will describe what
    goes into the product.

    So I had another comparison that I learned many years ago where she’s

    like, OK, if you describe a car, you can even describe it like, OK. It
    is this kind of metal thing. It has an engine for wheels, or you can
    describe it as this, this thing will take you from place A to place B,
    and there’s a huge difference there, and I think a lot of startups
    often because you’re so focused on your features and what you’re
    building, a lot of times we talk about, you know, feature A, B, and C,
    instead of talking about what these features, what, what kind of magic
    they will create for you and how they can be helpful for you.

    So I think there is kind of a 3 steps there. I think we can land in the

    middle because I agree like signaling and that is at the end that
    that’s also something and, and I think it’s, it’s a difference like
    you said between signaling and just inspiring, inspiring you to create
    something. But yeah, there is definitely a trap in describing features
    in a rather uh non-sexy way that doesn’t really make you feel anything.
    Right.

    00:23:25 - Speaker 3: And we keep coming back to this theme on this

    podcast of Creativity being uh an incredibly emotional act. It’s very
    human, right? If you deny that, if you don’t recognize that in your
    product, your marketing, um, I think you’re leaving a lot on the table.

    00:23:37 - Speaker 2: That reminds me of another influential book I read

    many years ago called The Substance of Style by Virginia Pastorrell. I
    reread it recently and it’s a little dated just because she spends a
    lot of time referencing the original iMac and I think the PT Cruiser and
    other current products. Of the early 2000s, whenever it was, the core
    idea is still just as valid today, which is that there’s a tendency to
    want to separate out the substance of something that is the the meat,
    the function, what it does from the surface. We even say beauty is skin
    deep. She makes the argument that especially when it comes to products
    or tools that we use in our life, these things, it actually matters
    because The the surface, the aesthetic will make you feel a particular
    way. And these products and tools are designed to be used by humans and
    our feelings matter a lot for motivation, for creativity, for being
    successful and whatever the thing is that we’re trying to do. And
    argues, you know, I think at the time that was when Apple’s was kind of
    ascendant with this new kind of design forward approach, and she spent a
    lot of time on that and saying why she thought that was really
    meaningful in the world. was going to set a trend and was quite right
    about that because you can sit there and say, OK, well, sure, the Apple
    product and the comparable products do basically the same thing. You can
    send an email just as easily from a Mac as you can from a say a Windows
    machine, but it just feels so much nicer. It feels so much more
    inspiring. It feels so much more creative to do that kind of task from
    the Macintosh, at least for many people. Absolutely. And so tapping into
    that is, I think, really important, something we go for with Muse, which
    is we feel like, OK, sitting down to think deeply about a problem, look
    up all the prior art, reference the source materials, pour through it
    all, recombine it in a way that helps you find your own understanding
    and meaning. That is really hard work and people often don’t want to do
    it even when it seems like it would be valuable. They think, well, let
    me just take the shortcut, let me just make a snap decision. Uh, but if
    we make it really fun and enjoyable and feels really nice to go in and
    use over something, well, hopefully you’ll want to do it more. I’d
    love to hear if you have examples of tools or products you use that have
    this aspirational quality or this inspirational quality in terms of
    helping you be more productive, creative, make you want to do the thing
    that it is designed to help you with more.

    00:25:58 - Speaker 1: I think there’s so many different categories of

    this. One is a great pair of running shoes, uh, will help me run more or
    like I order now during the kind of lockdown we had in Singapore. I
    ordered lots of workout clothes and I started working out as much as
    I’ve ever done. Like I, I that’s, I just did it a lot and I think a
    lot of it is because I felt great wearing my workout clothes and I often
    wore them every day all the time anyway, because that’s the most
    convenient and comfortable clothes. But I think that is a great example
    of how things can just random things can actually.

    Inspire you to do things and and and run further and and run more often,

    even if that is a bit of an obstacle as well.

    And another example is, so Andreas and I, my partner, we have been

    moving around a lot and when we left San Francisco in 2014, we, we sold
    everything and we hated stuff that you had at home. We were like, we’re
    never going to buy stuff to our home, right? Because we’re gonna live
    in two suitcases and that’s it. And we did that for a couple of years,
    but then now we’re slowly building up a home again and we were like,
    we’re not gonna buy something just because it looks good, like who
    would do that? We don’t want to have stuff that don’t have a meaning
    or don’t feel a purpose in our home. So we have a lot of functional
    things. But then we kind of started like, oh, but maybe we buy this
    whatever nice little, uh, I can make my cold brew and it’s actually
    this Japanese cold brew thing, and it’s actually really nice. And it
    doesn’t really have much purpose in my life, but I’m, I’m happy and I
    get good coffee and now we’re just slowly filling up our lives with
    lots and lots of nice stuff that makes us happy. So we kind of go. 180
    on that one.

    00:27:26 - Speaker 2: Very much with you on that. I’m uh I don’t like

    stuff. I don’t like clutter. I’ve moved a lot. I moved multiple times
    in one, you know, most recently across continents, but other times in my
    life, for example, going from Los Angeles to San Francisco where my
    Living quarters were going to be a tiny fraction of the size and I
    basically had to get rid of everything.

    And yeah, every time I’m thinking, why do I have all this stuff? Why do

    we need this? It takes up space. It’s um and that’s uh I think this is
    the moment we have to do the obligatory Marie Kondo reference here,
    right, things that spark joy, it kind of sounds like that’s the
    direction you’re going with the, with the coffee.

    Maker there and I feel that as well, even though I don’t, I don’t like

    stuff that I don’t use or doesn’t really serve a serve a great purpose
    for me, but the things that I rely on every day, whether it’s something
    like, yeah, the right tools in the kitchen that I use to make healthy
    food, obviously my software products, or, or even something like say my
    bike.

    I got into cycling as a primary means of transit once I moved to the

    city where it’s such a nice place to ride, and it took me a while to
    find a bike that I really liked. But once I did, it’s just, yeah, it’s
    this, it’s this um virtuous cycle of I want to write it because I like
    it. And then when I write it, that it helps me be sort of better at
    cycling and, and then the other, the two kind of reinforce each other.

    And um, yeah, that’s uh that’s always a great feeling for objects in

    your particularly physical objects, at least software can be kind of
    mostly out of the way. It’s just a square on your home screen or some
    bits on your hard drive, the physical. Objects, I feel very sensitive to
    that kind of clutter.

    00:29:01 - Speaker 1: But we had, I mean, as Zoom did it just works,

    right? And I think that’s their tagline, it just works better and we
    had an interaction with the new school our kids are going to and of
    course, as a school, kind of, of course, but they were having Microsoft
    Teams and I was gonna download Microsoft Teams and I was like, I told
    Andreas before they called, no worries. I would download it. I, I mean,
    you know, I’m kind of ahead of time. I, I prepared myself, and then the
    call starts and they were like another 8 steps and, and Andreas, he was
    like freaking out, he’s like, oh, we need to change school. What are we
    doing here? And there was just such pain. It was just so painful and
    why, right? And, and that’s just a good, I guess software example.

    00:29:38 - Speaker 2: Yeah, well, obviously being tech industry people

    were probably much more sensitive to good software and good tools, but I
    think it would be hilarious if you submitted a resignation or, you know,
    we’re moving our kids to a different school because I’m sorry, you use
    Microsoft Teams. I think all we’re a slash family.

    Yeah, exactly. So another place where you’ve been helping us out here,

    Lisa and I thought it’d be interesting to talk here, especially because
    it’s timely is launches. So I think when, when I first, uh, or when,
    when I first brought up this topic with you, I basically led with, well,
    here’s some things we’re thinking about doing for a launch, but I
    think I started with even should we do a launch, the launches even make
    sense in this time period? And uh yeah, I’d love to love to hear your
    take on all that.

    00:30:21 - Speaker 1: I think there’s so many, it’s it’s a super

    interesting question, and there are so many opinions about this because
    when you build a product, of course, you want to kind of slowly make
    Tends to like slowly on board users and then iterate and and don’t have
    this kind of big boom launch and and when you do those kind of things
    that often go wrong.

    So I think there are lots of reasons to not have this big launch, but I

    think what you guys are doing, you’ve been having a beta for a while,
    you have now, you know, started adding more users and being more out
    there. So I think it makes perfect sense to actually use the launch as
    an opportunity to announce it to the world, especially if you look at
    The news media and journalists, they need of a why is this news? What’s
    the news and why is this relevant and why now? And if you have, if you
    say, well, now is, now is the time when we announce this, this is, you
    know, this is our launch and announcement that is making it timely and
    relevant for journalists to actually write about it because it is news
    and that you are revealing a new product to the world, even though it
    has been seen by a few handful of people.

    Well, you may think that you have already told everyone about this and

    you, you’re so tired of telling the story. It’s just so few people,
    right, that have heard it and the rest are still waiting and I have no
    idea what this is and we’ll read it for the first time when you
    actually do your launch.

    00:31:34 - Speaker 2: That was a lesson I learned from a little bit, I

    got a little bit of exposure to this fellow Mark Benioff of Salesforce
    when I was part of that organization for a little while, of course.

    Absolutely brilliant marketer in some ways maybe has a lot of the

    qualities that I shy away from personally being a more product and
    engineering minded person that I care about, you know, this kind of
    authenticity and down to earth and sort of no, no bull approach to
    explaining things and, and talking about things at the same time, just
    incredible skills there.

    And one of the things that he really embraced was you launch things over

    and over again. Because a launch is just when someone new is learning
    about it, some new audience is learning about it. There’s a lot of the
    world is very big. The internet is very big, and it’s when you’re,
    you’re going beyond your existing audience to a new, to a new audience.
    And I think that’s, that’s how we’re thinking about this upcoming
    launch.

    00:32:26 - Speaker 1: No, and people also forget. If you hear about it

    once, people might think, oh, that sounds interesting, and then it’s
    gone.

    But then if you repeat the message, and that’s why traditional

    advertising will hate. Because you tend to you repeat the message and
    that’s when it actually sticks there.

    So when you go to the grocery store, you pick that is, you know, washing

    detergents instead of the other. And so I think like repeating yourself,
    it feels really annoying, but it actually it works and it can be helpful
    for people because they heard about it somewhere or they read about it
    and then wait wait, what was that again? And then they can’t remember.
    And then when they get reminded, oh, yeah, that’s right, then they
    might start doing their own research about it.

    00:33:02 - Speaker 2: I like the old Paul Graham quote, people don’t

    notice when you’re there, they notice when you’re still there.

    00:33:08 - Speaker 3: It’s a good one. I also think that for an early

    stage company, there’s something to the successive levels of publicness
    that you’re releasing into. So first you tell some friends, you’re
    starting a company, and then you have an alpha product and you have a
    beta product, and then you release it, and different people want to kind
    of jump on the train at different points. And so you announce each stop.
    We’ve had people who said, you know, you sounds awesome, but I don’t
    have time for like weird beta stuff. Just let me know when it’s ready.
    And so when we launch, they’ll know, OK, it’s ready for that.

    00:33:33 - Speaker 1: I learned this when I was, uh, my first job was as

    a theater producer, which is super fun.

    But I was 18 and like part of the producer’s job is to do PR and and

    get people to buy the tickets for the show. And I remember we had, I did
    lots of PR announcements. I don’t know, but I just had that every month
    we had some kind of news like, you know, these are the actors or this is
    what we’re gonna do.

    And now we’ve done, we’re done with the clothes, come look at them,

    whatever. We just made up a lot of news. And what happened was first the
    local press started writing about it, and then after a while, after my
    5th or 6th announcement, whatever, the TV called me and they said, well,
    they’ve been writing about you so much. You must be on to something.
    Can we come out and do a like a interview with You guys, and I was like,
    sure, you’re welcome. So then by just getting that niche local media
    first, and they wrote about it again and again and again, the bigger
    sharks read, you know, they eat the small fish, right? They read the
    smaller sharks to try to stay up on what’s going on and what’s
    happening. So while I didn’t really target the TV channel, they kept
    seeing those that the news in the local media and that’s why and how we
    got the big attention eventually, which that was just me being like new
    and lucky and naive and just doing this shit because I was stressed.

    00:34:36 - Speaker 2: I think it counts for a lot in any business,

    right? Yeah, I think, um, I keep hearing about this is one of the best
    phrases to it’s not just you’re there and you’re still there. It’s
    something about I keep hearing about this. What, what is this? I need to
    look into it. I want to give it some of my attention because of that,
    yeah, repetition.

    00:34:53 - Speaker 1: Yeah, and if you were, if you or kind of the PR

    people are the only ones nagging a journalist about something, they
    would never find it interesting. But when they start reading or hearing
    about it from different sources, that’s when they, wait a minute, I
    need to look into it. So, so that’s why if you cannot target lots of
    different things, then eventually the big fish will find you interesting
    as well.

    00:35:11 - Speaker 3: We’ve alluded to it here, but I think it’s

    important to note that we’re somewhat disconnecting the product changes
    from the messaging and marketing that’s going out. There needs to be
    some coupling, of course, and you want some of that, but also they, they
    don’t need to be super hard coupled together so that the same day you
    launch on TechCrunch, you’re letting your first user sign up, right?
    Right. There’s some apps where you need to do that like maybe consumer
    apps or something, but mostly you want to have more control over these
    axes independently.

    00:35:33 - Speaker 1: No, I think you definitely need to separate. To,

    because it’s simply too risky to onboard lots of new users, um, and you
    don’t really know how things will behave.

    You also want to have the freedom of iterate and and keep releasing new

    features and new ways of working, so you can’t be too, you can’t have
    the message too kind of literal, if that makes sense. Like it can’t be
    too descriptive of what the product actually does or describing all
    these features because those features you want to keep changing or
    iterating and the overall message needs to be repeated and repeated and
    repeated.

    When we worked with consumer apps, we had like these video. And then we

    did them, but then two weeks later they were outdated. I think you have
    a lot of videos, but you show very specific features in those videos and
    they’re extremely helpful. But if you kind of have telling the entire
    story with a lot of screenshots, it doesn’t make any sense because in a
    couple of months, you have to redo it.

    00:36:20 - Speaker 3: Maybe the most extreme version of this is just to

    schedule a release, you know, for the same day every year, um, which is
    what, of course, they did at Salesforce. And I just, when that day
    happens, like, whatever you have, that’s what you launch. It actually
    works really well. As an engineering manager, I like that a lot because
    I think it’s best to limit. and that scope and so a calendar based
    marketing release does that for you.

    00:36:37 - Speaker 2: This is Dreamforce you’re talking about their big

    convention and they basically tries to figure out what what are you
    going to have for Dreamforce it’s sort of the internal function of the
    company. Exactly.

    00:36:46 - Speaker 1: But Google is the same, right? They always have a

    couple of news around Google I and a lot of these tech companies have
    actually copied that part, and it’s probably because it works and and
    people can have and then the press starting to get excited and and they
    know it’s coming they can plan it in the editorial planning, so they
    have space for it.

    00:37:02 - Speaker 2: There’s some. Energy inside the team.

    I’m a big fan of continuous delivery to the point that I spent quite a

    lot of my life, uh, building a product to make that easier and sort of
    iteratively letting stuff out and not doing the big bang release and
    what have you.

    But on the perspective of getting folks excited both externally,

    potential customers and so on, but also internally on the team, there’s
    something very powerful about rolling stuff up and do a big release.

    I’m reminded of a classic post from uh Mark Shuttleworth, uh, the

    Ubuntu Linux project.

    And they had a, uh, they very famously brought in a 6 or famous to me.

    Maybe that reflects my interest in, but Uh, they brought in a 6 month
    release cycle where they would do a new release every 6 months and just
    if your stuff’s ready to go into the release, it does, and otherwise
    it’ll wait for the next one.

    And this was in contrast, you know, they were building on the Debian

    Linux project and Debian was famous for we release it when we’re ready,
    but that meant that their stuff was always felt pretty behind and out of
    date and they would go years between sort of major revs to the, to the
    system. And that was a bit of a problem in the fast moving technology
    world and creating this rhythm. We try to get stuff in, but don’t worry
    if you don’t make it. Hey, there’s another one coming up in 6 months,
    was a really powerful thing for them internally as well as the external
    factor of explaining it to the world or sharing it with the world.

    00:38:21 - Speaker 1: I got to know this behavior quite a lot when we

    were at RAP at a previous startup, we worked with the biggest, some of
    the biggest retailers in the US and in other places and I worked then
    closely to their market. social media teams and retail, they have their
    retail calendar and they have a holiday or there’s something going on
    always.

    It’s back to school. It’s Halloween, it’s Thanksgiving, Christmas,

    New Year, you know, starting of a new year, and I got crazy. I was like,
    oh my gosh, there’s so much going on.

    But then for them, that was how they planned everything. And that was a

    reason for the customers to get in back into the store.

    Oh, yeah, school is starting, so I need a pair of new pants and.

    Halloween is here, so I need whatever outfit and then there is always a
    reason to have a sale around a specific theme, but that retail calendar
    if you want to have like plan your marketing around calendar, that’s
    that’s somewhere to look because it’s fascinating. Maybe wouldn’t
    choose to do it myself, but just learning that and see how they were
    working with this calendar it was absolutely fascinating.

    00:39:20 - Speaker 2: It taps into something that you hear in sales kind

    of skill development, which is you need to create urgency. There’s a
    reason not just buy generally. To buy right now and creating events for
    things like, yeah, you generally need new clothes in life, but do you
    need it now or do you need it in 3 months or do you need it next year?
    Creating an event is a reason whether it’s a sale, whether it’s a
    calendar holiday or something like that.

    Now, for me personally, a lot of what happens in the retail world around

    that kind of stuff is that’s where maybe I would almost say that’s the
    inauthentic parts of marketing and the parts that feel maybe
    manipulative is too strong, but this thing of there’s Always a sale.

    It’s always this made up reason why you need to buy right now, and

    it’s gonna expire in 2 days. And I’ve seen that creep a little bit
    into the software world as well, and it always kind of icks me out a
    little bit. And I understand that it works and people, you know, they
    have businesses and they need to sell their products so they can put
    food on their table at home. Fair enough. But that’s something that is
    a part of the sales and marketing world that I’m a little less fond of.

    00:40:21 - Speaker 1: So we won’t see any Halloween specials coming up,

    bad news.

    00:40:25 - Speaker 2: Yeah, but then maybe on the flip side, you know,

    I, I have ended up buying, I think I remember, um, 23andMe many years
    ago, they did like a DNA Day special where they sold sold the thing for
    much less, and it seemed like a good reason. Oh DNA Day and that that
    connects to my values, right? Like it’s a holiday celebrating an
    important breakthrough in science. Um, and so yeah, that totally worked
    on me. So, you know, I kind of understand where that, where that comes
    from. I don’t know, maybe there’s, yeah, if, if someday there’s a,
    there’s a holiday that somehow connects to thoughtfulness and deep
    work.

    00:40:56 - Speaker 1: I think it’s a really hard balance and I agree

    with you, and I, I kind of hate it, but it kind of works, but I also
    don’t, I don’t really prefer doing marketing that way.

    But then sometimes there has to be a reason where the why now is

    actually pretty big. Why can’t I wait until tomorrow? And I think if
    it’s something that is very the messaging focusing on why this product
    makes you better or a better person, a better creator, then I think that
    is a really strong why now.

    Because I want to be a better creator today. I don’t want to wait until

    tomorrow, but I think the fundamentals are still similar, even if you
    don’t have Halloween, but you, you, you have something else that makes
    it relevant and a little bit urgent to actually download it or try it
    out now.

    00:41:33 - Speaker 2: I like that coming back to your earlier example of

    the running shoes, you buy the running shoes because you want to run
    more. You want to be more fit, you want to do this thing that you know
    brings you both. Faction and health in your life. Maybe there’s an
    angle like that from M. Muse is sort of the running shoes equivalent for
    being thoughtful, for decision making, for being creative, for being
    productive. And so the urgency is more, I want, I want to start
    investing in myself, in my mind and my creative output today.

    00:42:00 - Speaker 1: I definitely think so and I think you’ve been

    pondering that a little bit with a thinking tool and help you think and
    help you like this modern. better and I think also, yeah, just working,
    you know, working the creative sides of the mind is, I don’t have any
    tools for that. So like that sounds awesome. I, I know how to work, you
    know, I can, I can do some math. I can do some writing. I can read a
    book, but working that creative side is trickier. It’s harder.

    00:42:24 - Speaker 2: Well, it sounds to me like we’ve got the muse

    marketing and positioning all figured out. It’s running shoes for your
    mind. Well, if any of our listeners out there have feedback, feel free
    to reach out to us at @museapphq on Twitter or hello at museapp.com via
    email. We’d love to hear your comments and ideas for future episodes.
    Lisa, thanks for coming on to talk with us here for being such a great
    advisor as we navigate this, how to explain what we’re doing here to
    the world and of course for otherwise supporting us on our journey.

    00:42:55 - Speaker 1: Thank you so much for having me.

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    Show notes

    00:00:00 - Speaker 1: I think the process is just inherently much

    messier than that, and you need to let go a little bit and say the tool
    is going to help you make this stew, and then you’ll sleep on it for a
    few days and then somewhere else, something new will pop out. Hello and
    welcome to Meta Muse. Muse is software for your iPad that helps you with
    ideation and problem solving, but this podcast isn’t about Muse the
    product, it’s about Muse, the company and the small team behind it.
    I’m Mark McGranaghan, and I’m here today with my colleague Adam
    Wiggins. How’s it going, Adam?

    00:00:30 - Speaker 2: I’m pretty good, Mark. I just got back from a

    short trip up to the Baltic Sea, which is a pretty easy train ride from
    where I live in Berlin.

    This is the first real trip I’ve taken since, I guess, pandemic

    started, so about 667 months. And it was really refreshing, even though
    it was just a couple of days, and I was reminded of something you said
    when we, I think it was in our very 2nd episode of the podcast about
    having good ideas, which is how fresh surroundings refresh your brain
    creatively. And yeah, I had that there and it was really, was really
    that came to mind because I was really reminded of how much I, I missed
    that in this time where travel is not a part of our lives the way it
    used to be.

    00:01:12 - Speaker 1: Yeah, I’m always surprised by how powerful that

    effect is. So today our topic is tools for thought. Now Adam, what does
    that mean for you?

    00:01:21 - Speaker 2: Well, Tools for Though means a lot of things to

    me, but I think the first place my head goes to is Howard Rheingold’s
    classic book from, I think it was the 80s, where he details Xerox PARC
    and many of these visionary folks who are thinking about computing in
    its early days and what that could do for humans and our creative and
    productive lives.

    But I actually stepped back even a little bit from there because the

    original tools for thought, I feel like are anything that lets you
    externalize your thoughts. And so pen and paper, you know, writing,
    language, uh, is the starting place there, the printing press maybe. Uh,
    but more in modern times, things like sketchbooks or I don’t know, in a
    startup office, you’ve got whiteboards in a school, you’ve got
    chalkboards, Post-it notes are a great tool for thought, in fact,
    because you can write down these little snippets of information and move
    them around maybe in a physical space with colleagues.

    Um, there’s even something like, I remember at a team summit we had a

    few years back, might have even been there in the park in Seattle, you
    wanted to illustrate a point and ended up grabbing a stick and basically
    drawing a very simple diagram in the dirt, right? So anything that lets
    you really either make visual or somehow externalize what’s in your
    mind, I think is, is a type of tool for thought.

    And that also includes, I think the cult of the consumption side, which

    is Um, what I usually call active reading. So a book and a highlighter
    together, I think is, is a type of tool for thought. The act of
    highlighting passages that you find impactful or relevant to what
    you’re trying to learn about makes this learning, this reading process
    into an active process and a learning one, and that, that becomes a tool
    for thought as well.

    00:03:06 - Speaker 1: Yeah, and I’m sure we’ll dive into a lot of

    different kind of specific instantiations of tools for thought. But
    another way to think about this is, what is the problem you’re trying
    to solve here? Two possibilities, one would be, you’re trying to obtain
    the knowledge that has already been generated by someone else. You’re
    trying to learn some facts, memorize some figures, maybe uh retain some
    ideas and different tools for thought can help you with that. Another
    angle would be, you’re trying to generate new ideas, novel thoughts,
    and uh a tool might help you accomplish that as well. And I think
    actually which one you’re trying to do is quite important for which
    tool you choose.

    00:03:40 - Speaker 2: Yeah, another reference I was looking up in prep

    for this episode was Andy Matzek’s work, and he’s got a piece called
    How Do We Develop Transformative Tools for Thought, and his work, his
    current research track is more on that learning, retaining side of
    things, these mnemonic devices and so on.

    This is a nice article. I’ll I’ll link it to the show notes because he

    does on the later part of the article, he describes a lot of this
    history, particularly around the computing tools for thought, Steve Jobs
    and the bicycle for the Mind. Uh, he talks about that he thinks, quoting
    Alan Kay, who’s who’s one of the sort of big visionaries in this
    world, uh, as saying that actually medium for thought in some cases
    might be a better, better term, but for whatever reason, the, uh, the
    tools for thought seems to be the, the label that that stock.

    So Andy’s work, I think it’s a good example of the how do you how do

    you get more out of what you’re trying to learn about and then there’s
    the having ideas or generating new thoughts or generating original
    ideas, which is obviously the space Muse is trying to plan or at least
    we’re trying to create a tool that can help the the end user to have
    better ideas to develop their ideas.

    So yeah, coming back to the digital space, the Tools for Thought book

    spends time on, for example, the Xerox PARC lab that invented a lot of
    the modern GUI operating system and other things that we, we sort of
    take for granted in the modern computing world. There’s also folks like
    Doug Engelbart and his vision to augment human intellect. There’s
    people like Alan Kay who invented small talk and object-oriented
    programming, had this vision for a thing called a DynaBook that I guess
    you could say physically looked a lot like an iPad looks today, but was
    more focused on the creative and productive uses of computing. And
    there’s even stuff like, uh, or folks like Vever Bush, who wrote an
    essay that people still quote today from the 1940s about this thing
    called a Memax or this vision he had for a thing called a Memex. And I
    think one thing you get when people talk about these, uh, the Engelbarts
    and caves and bushes. They’re often sort of lamenting a future that
    maybe we were dreaming of in these times that then you look at today’s
    computing and for all the really impressive technology that we have and
    all the things that computers and software and the internet can do for
    us, in some ways, we didn’t really fulfill some of the beautiful vision
    that these folks had. In fact, I think some of those folks are even in
    some ways a bit bitter, you know, towards the end of their careers when
    they see all these startups and whatever, putting all this money into
    these shiny products that in fact are more kind of entertainment boxes
    rather than something designed to really elevate the human race.

    00:06:23 - Speaker 1: Yeah, and Andy makes a point in his article that

    there are good economic reasons why that’s the case or why we would
    expect that to be the case. Um, essentially because new ideas and tools
    for thought are sort of public good, so it’s hard to capture economic
    value when you make innovations in that space. Um, but we still think
    it’s possible, um, both to have new ideas here and to build a business
    around it.

    00:06:43 - Speaker 2: Yeah, well, I guess if we fast forward a little

    bit from the Halcyon.

    Days of these, these computing visionaries in the 60s, 70s, and 80s, a

    little bit more to when personal computing became commonplace, maybe the
    1990s, and I think what you see is when you, or at least when I think of
    productivity software really broadly speaking, I tend to think of
    authoring, what I usually call authoring applications. This is something
    like you use Illustrator, if you’re a designer or you use Microsoft
    Word, if you’re a writer, or use Excel if you’re a financial analyst.
    These are really designed for an end artifact. You’re producing
    something to be consumed by someone else. When you type into your word
    processor, it’s because eventually you want to publish that book or
    publish an article online. I think folks often do use these offering.
    Tools for the thinking phase. If you’ve ever opened your word processor
    or programmer, maybe use a text editor or something like that to sketch
    down some ideas, not what the intention is that’s ever going to be
    given to someone else, but to get your own, your own head together. Just
    because that’s the tool, you know how to use, it’s right there, but
    it’s not really designed for that. In fact, in a way, it’s it’s a
    poor fit, you just happen to know about it. And I’ve seen some really
    creative uses, uh, certainly on the, for people that like laying things
    out visually and spatially kind of like we. We strive for with Muse.
    We’ve seen, for example, um, we saw someone that did a master’s, did
    all their master’s thesis research in illustrator, because they wanted
    to lay out all these papers they were reading and the excerpts they were
    taking from them and how they all connect together. They wanted on this
    big spatial canvas. And it turns out that illustrator was the best
    choice for that at that time. Maybe nowadays people do that with figA
    somewhat, which I think is great, uh, that people are doing these
    innovative uses. But that was part of what led to the impetus for us
    wanting to build a tool for thought that was more something that’s
    purpose built for enhancing the individual’s or even a group’s
    thinking. Now in practice, because we’ve seen so few commercial tools
    for thought, I wonder if that means that either people don’t value that
    ideation step enough to want to invest in that. So that’s, you know,
    monetarily, do they want to pay for software, but it’s also just taking
    the time to learn a piece of software. Uh, or to put your data and your
    thoughts into a piece of software when that’s not the end place it’s
    going to be. Um, so I think that’s, that’s certainly a, you know, a
    risk or an open question for Muse and really anyone else that’s working
    on a Uh, on a tool for thought.

    00:09:13 - Speaker 1: Yeah, I do think there’s a commercial piece there

    where the obviously biggest market is when you’re close to the end
    product that you’re producing for a business, and you’re producing a
    presentation, you’re producing a book, there’s obvious economic value
    that you want to attach to that and there’s a bunch bunch of people who
    obviously need to do that.

    00:09:28 - Speaker 2: Yeah, and I think that’s most notable when you,

    when you try to sell software to professionals, if you say one of the
    best pitches you can offer is this will make you look really good to
    your client. You will close more deals or you will impress your boss or
    you will get that big, that big deal that you’re trying to do and so
    presentation software or really good, you know, financial modeling or,
    you know, the word processor, that’s, that’s the value there is, is
    really clear to people. If you say this will make your ideas better or
    make your decisions better for some reason that that’s a less poignant
    sales pitch, I think.

    00:10:00 - Speaker 1: Yeah, and I keep coming back to this idea that

    there’s an incomplete understanding of the creative process.

    We’ve long advocated for this. 3-step process where you’re 1,

    gathering raw materials, 2, actively reading, processing, ruminating,
    brainstorming on those materials, and then 3, offering an end product.

    I think a lot of people think of the creative process as 1 and 3,

    because there’s obvious, you know, physical content that you’re
    dealing with in each of those cases that you have to pull in some raw
    materials like site in your paper, and you have to produce a paper at
    the end to send to the publisher, but you can kind of get away without
    doing the middle stuff without, you know, thinking. Um, or you can just
    do it all in your head, but the premise with Muse is that there’s a
    very powerful and important second step there that with the right
    tooling support can give you even more power as a thinker.

    00:10:47 - Speaker 2: Yeah, one place that Tools for Thought has come

    back into the current conversation is the product Rome Research, who’s
    been getting a lot of traction among people who I think like to think
    deeply, particularly built around a daily journaling practice, which I
    think is a really A good way to get your thoughts out in a free form
    way. Uh, one of the things I remember them complaining about, if that’s
    the right way to put it, is being trapped in this category of note
    taking. Note taking is an interesting category because it seems to span
    a lot of things. You’ve got a classic like Evernote. Which in theory
    should be kind of a tool for thought. It’s supposed to be sort of a
    second brain. You put stuff into it, you can find it later. But the
    reality is it doesn’t necessarily help you find connections. I think it
    sort of failed to deliver on that promise. It’s maybe more of a
    knowledge base or knowledge store.

    I use Dropbox for that, for example, and I think that’s true for a lot

    of notes apps, things we’ve talked about here before, something like a
    bear, for example. It’s a really nice way to quickly capture a thought,
    you know, on your smartphone and then you have access to it later, but
    it’s not really a place to do a lot of deep ideation. I don’t know,
    maybe you sketched down a few, few thoughts you have in bullet point
    form, but it’s not a good place for really freeform ideation and maybe
    that’s a place where Rome is helping change.

    Things a little bit.

    Uh, I also see this tool for thought, uh, sometimes applied to some

    other hot new products which include notion, which is more of a team
    wiki team brain kind of thing, but I think it can fit with that as well.
    FIMA, as previously mentioned, sometimes people use it as this kind of
    visual canvas, even something like Air Table, which is a spreadsheet,
    but often again, people use it in these team contexts to capture
    knowledge, uh, and to basically find shared understanding on the team.
    It’s not in. there’s no end artifact for the client. Uh, it’s more
    internal to what the team’s own sense of understanding of problem
    space.

    00:12:37 - Speaker 1: Yeah, now what’s interesting to me is why are

    tools like this useful tools for thought.

    I think some people would say it’s because for example, you can capture

    and store all this information and you can form explicit links between
    them and everything is organized and searchable, and I think there’s
    something to that.

    There’s certainly um value.

    In that use case, but I believe that most of the creative work the mind

    does, especially around generating new ideas, is not done in your
    thinking mind. It’s basically not done consciously.

    You have this massively parallel process running in your background,

    including when you’re sleeping, that’s generating new ideas, forming,
    forming new connections, and you basically can’t think your way, can’t
    put 1 ft in front of the other to get to new ideas like that. You have
    to just kind of let it go wild and hope, hope it comes up with
    something.

    And the way you feed that process is you ruminate over a lot of

    interesting intellectual material.

    So the reason I think these apps are useful for two of thought is

    twofold. One is people like to use them. They just like to spend time
    writing notes in Rome and kind of regardless of where those notes end up
    or if you ever read them again, just the process of writing and thinking
    as you’re writing. Generates a lot of fodder for this process in your,
    in your sleeping mind. And number 2, increasingly these tools support
    multimedia, and I, I’ve long said creative thinking never takes uh just
    one medium, it’s never just text or just images and tools like Figma,
    it’s very easy to make a canvas where you have images and text and
    vector graphics and so on, all in one place. I think that’s important
    because that’s again, naturally how the mind thinks creatively.

    00:14:08 - Speaker 2: For sure. I’m a big believer in the, as you said,

    feeding the sleeping mind problem, working on problems in the
    background, stew, and yeah, this externalizing your thoughts in some
    form is a way that helps you turn it over.

    And that can be lots of different forms. It can be sketching, it can be

    writing, voice memoing is another interesting trick, even just talking
    to another person, right? This is where an open-ended chat, you know,
    the classic water cooler talk or just taking a walk and talking with a
    colleague, working through something that that helps see that that’s
    doing that background process in the brain, and I agree. Whatever it is
    should be enjoyable and comfortable. And so that means for uh something
    like in one of these analog tools, I think the reason why sketchbooks
    and mole skins and whatever have continued to have such a place in the
    heart of creative people like me and many others is that they’re just
    enjoyable. You grip a nice pen and the feeling that tactile feeling of
    your, your hand. Moving across the page, I think whiteboards, the
    whiteboard can have a similar feeling as well. And with digital tools
    you need, you need the same thing. If it’s fun and enjoyable to open a
    new notion page and assign it an emoji and drag in some media and type
    out your text and then share it with a colleague for discussion, then
    you’re going to want to do it. And then that in turn is a nice virtuous
    cycle.

    00:15:27 - Speaker 1: Yeah, and this is a podcast about tools for

    thought, and I think it’s appropriate to, you know, keep it scoped, but
    I would say the human creative process is so much bigger than tools,
    things like uh the social element, you know, who you’re talking to and
    who you’re motivated by, uh, the physicality element, the position of
    your body, how it’s moving or not, the location element like we’re
    talking about in Intro. These are all super important and I think it’s
    easy for us as technologists to over rotate towards what’s on the
    rectangular screen when there’s so much more to the creative process.
    And again, it’s something we’ve tried to tap into with Muse so that for
    example, you can use it while you’re reclining on your comfy couch or
    you can use both your hands at the same time and use all the degrees of
    freedom you have in your arms, things like that.

    00:16:04 - Speaker 2: Absolutely. Related to that, one thing I wanted to

    ask you about. is whether you’ve read this book Thinking Fast and Slow
    by Daniel Kahneman.

    Yep, classic. Yeah, I found myself thinking about that in this tools of

    thought context. So just to briefly summarize for for those that are not
    familiar, the author basically categorizes our ways of thinking in daily
    life in these two creatively named System One and System 2 brains. Where
    system one is more the, the fast thinking, the, the quick judgment, the,
    the immediate reaction, and the system two brain is slower, more
    analytical.

    I especially like the system one brain’s main, the framing of the

    system one brain’s main job is this assessing normality, they call it,
    that is to say we have these built-in habits and assumptions about the
    world’s worldview and this. Just this way that we expect things to be,
    everything from how my furniture is arranged in my home to what the
    political landscape is like in my nation. Our system one brains are
    constantly taking stock of whether what they’re seeing fits into that
    established pattern and essentially kind of raises a flag or raises.
    Something into our attention when something breaks that pattern.

    So that system one fast instinctive emotional brain, I think is pretty

    natural to reach for in certainly in social settings, but especially in
    information age, style, um, online gathering places, the social media
    and so on, whereas the system too. is obviously what we’re most
    interested in in our team and with the tool thought that we’re
    building, which is the slower, more deliberate, more logical,
    analytical, slower both in a literal time sense, but also in a sense of
    more consideration and purposely breaking the habits that are already in
    your mind. And trying to form new connections.

    00:17:56 - Speaker 1: Yeah, I think that’s true, but I also think

    there’s value in domesticating if you will, the system one mind. It’s
    so powerful, but it’s also by default very wild and instinctual, but if
    you know, give it the right care and feeding with uh the, the right
    intellectual material. That you’re ruminating on to continue the animal
    meta for here, um, it can be very powerful. And again, I think this is
    especially true in your sleep, basically, where if you take in the right
    materials, do the right active reading, and if you give that a few days,
    you’ll often form interesting new connections and ideas.

    00:18:26 - Speaker 2: For me, a go to technique is to literally sleep on

    it. And in fact, I’ve even brought this up often enough on Teams
    sometimes that people poke fun at me that my solution to any tough
    problem is to go to sleep, but I really find that so many breakthrough
    solutions or new ways of looking at something have occurred to me after
    that stepping away and particularly the restorative power of, of sleep
    and what happens to your mind at that time, and that obviously just
    actually requires Time you can’t if you’re trying to turn around a
    decision the same day, you can’t, you can’t sleep on it either
    literally or figuratively and so trying to maybe arrange your creative
    life or set things up in your work or other places where you want to
    make good decisions and have good ideas to allow yourself this time.

    I know on the Muse team we often like to do things in part or each of us

    I’ve seen. likes to do things in parallel.

    We may have a few different projects going on at a time that even maybe

    you switch back and forth between a little bit. Sometimes that can be
    lack of focus, which is, you know, a bad sign, but in some cases, I find
    this is a really effective way to work on something for a while, maybe
    get a little stuck or not be sure what the best path forward is, sort of
    step away, switch my contacts for a few days or something, and when I
    come back to it, I’m because in a way this background process has been
    working on the problem the whole time.

    00:19:47 - Speaker 1: Yeah, and then bringing it back to tools for

    thought. I think it’s important then that the tools not try to draw too
    straight of a line between ideas and steps.

    Often I feel like tools are trying to, you know, you get the inputs in,

    you form the right connections, and then somehow the tool will like lead
    you to the right answer.

    I think the process is just inherently much messier than that and you

    need to let go a little bit and say, The tool is going to help you make
    this stew and then you’ll sleep on it for a few days and then somewhere
    else something new will pop out and you might not even be able to see
    that straight line, right? and it might not be refied in the tool, but
    you have to trust that that process is going to happen in your sleeping
    mind.

    00:20:19 - Speaker 2: Another area under tools for thought I was curious

    to get your take on is the role of attention and focus, and I touched on
    that with the System one brain and how it surfaces things to the to the
    system 2. In the process of doing deep work and going deep on a problem.
    We know it’s important to be able to focus on something deeply, but how
    do you see that as interacting with a tool for thought like news or
    these others we’ve talked about?

    00:20:44 - Speaker 1: Well, now that you mentioned it, my half joking

    answer is that perhaps the most powerful tool for thought that I have is
    industrial strength noise canceling headphones, like the type you wear
    when you’re using a chainsaw. It’s actually very helpful in in
    slotting out the noise that I have here in the city.

    00:20:58 - Speaker 2: On controlling noise in your environment. I think

    it was one of our very first email updates from use that we linked to a
    what I think of as a very useful tool in the Creative person’s toolkit,
    which is a white noise generator. In this case, it was one for the, for
    the iPhone, but I’ve used a web-based white noise generator that does,
    you know, rainfall and fireplace crackling and whatever that I can put
    into a pair of headphones, especially noise canceling headphones.

    It can be really nice for particularly you’re in a noisy environment

    like trying to work on a plane or a train or something like that,
    because absolutely, it takes effort to keep your attention on something
    and the more that your environment demands your attention, the more you,
    the less effort you will have to spend on the thing you’re trying to
    focus on.

    That’s why I like quiet office, uh, physical. that’s conducive to to

    doing work.

    00:21:46 - Speaker 1: I think if there’s even the possibility that

    you’ll be distracted or pulled back from your creative thought process,
    it’s, it’s hard to get into it. I remember this when I was a full-time
    programmer, even that I had a meeting on my calendar at like 3 p.m. made
    it hard to do certain programming problems in the beginning of the day.

    It’s because you knew at some point you were going to be in. and you

    had to break your train of thought. I think there’s the same dynamic
    happening if you know that that little red dot could come up or if you
    could get a notification pop on your screen.

    So one idea we’ve had with Muse is to really be respectful and giving the

    creator control over if they’re ever going to have anything interrupt
    their work and anything else appear on their screen.

    00:22:20 - Speaker 2: The reason I brought it up was that I see this as,

    I guess, coming back to this glorious vision for what computers could do
    for people. Some decades back and where we are today, attention or
    really a direct conflict between what you want out of call it
    consumption technology.

    So when it comes to your phone and your messaging apps and your social

    media, precisely what you want is to feel connected.

    You literally want to be interrupted. That is the feature, the feature

    of it. You want to feel connected to what’s going on and you know about
    the breaking news right away.

    And when there’s some important message from from a thing that’s

    happened with your team. Or a thing that’s happened in your family that
    you’re going to find out, be connected to that, be able to turn around
    and respond immediately.

    And that’s well and good, but it is just in direct opposition to what

    you want. If you want to sit down and get a really big chunk of
    productive work done, or particularly bring your energy and attention to
    bear on a problem that is maybe just past what you’re currently capable
    of doing, whether that’s a new thing you’re trying to learn, whether
    it’s because you’re an academic that’s trying to Develop a fresh idea
    that’s pushing the boundaries of science, whether it’s you’re a
    product creator or a startup person and you’re trying to You know,
    figure out the strategy for your company or something like that. You’ve
    got, you’ve got to really push yourself and you need every spare, or
    you need every single cycle of your brain computing power you can get
    and anything that draws your attention away or demands your attention
    interferes with that, makes you slightly less able to go after solving
    that problem.

    00:23:53 - Speaker 1: Yeah, totally. I think a related idea on this. The

    theme of headspace and how you’re feeling is the aesthetics of the tool
    environment.

    I think it’s really important that creators have control over the

    aesthetics of their environment and can change it to their taste. I
    think if we told an artist that you have to go into this studio, has to
    be exactly the size, you can only paint the walls this one gray color,
    you can only use this one paintbrush, you have these, you know, 4 colors
    you can use. Uh, you can only paint in the style. It’d be like, what
    are you talking about? We do that all the time with software. Your
    environment has to look like this and, and by the way, it often looks
    and it can, it can feel trivial just like to give us users this basic
    agency over what they’re doing in their environment. But I think it’s
    really important. One small example from you is we have these setting
    panels type things and most apps, when you open the settings type panel,
    you know, it goes in the upper left or it goes in the upper right, and
    that’s that, and hopefully you’re OK with it if it’s covering some of
    your content, well, too bad, but we had this idea that even for
    something as simple as Settings panel, you should be able to put it
    where you want to put it so that if you have something on the right hand
    side of your screen that you’re working on, you can put the settings
    panel left or vice versa. And just giving users basic agency over like
    over their environment like that I think is really important.

    00:25:01 - Speaker 2: Yeah, I think one of our get switch research

    pieces touched on the desire for creative types to nest, where basically
    when you walk into the professor’s office, when you walk into the
    designer’s studio, you tend to see an arrangement that reflects their
    personality, their certainly the needs of their work.

    But also as a kind of home, kind of a creative home, and I think that

    connects not only to the utility of it, OK, I, I tend to use this one
    tool, physical tool, so therefore it’s sitting in a place that’s easy
    for me to reach my desk, but also just reflects this feeling of comfort,
    safety, familiarity, and I think you’re able to do your best work and
    be, be creative and productive and focus when you feel those things. And
    it’s much harder to do it an unfamiliar. environment, a sterile
    environment, one that, um, one that maybe isn’t adapted to your needs
    in the same way.

    Going back to Andy’s great article about tools for thought, he has a

    section there where he talks a bit about sort of the machine learning AI
    stuff. Now I guess GPT 3 is the new, the new buzzy item, and this is a
    question I think I’ve run into quite frequently and when I talk about
    what I’ve worked on, what I’m working on here at Muse, what I’ve done.
    As well in the research lab, which is to kind of oversimplify the
    response that often, you know, if I say I’m working on tools for
    thought and kind of describe what that is, there’s a reaction that’s,
    well, pretty soon AI is going to be here and do all our thinking for us,
    so like what’s the point of that? And I don’t have a great answer to
    that. Uh, I don’t believe that in my heart, but maybe that’s because
    I’m incentivized not to believe it because I enjoy building tools for
    people to think and create. So maybe I’m, I have a little bit of a
    blind eye to it, but have you run into that question? If so, how do you
    think about the role of, let’s say AI, however you want to define that
    in tools for thinking and creativity?

    00:26:49 - Speaker 1: Well, let’s say first that there are a lot of

    interesting areas where AI is vastly superior, but people are still
    really interested in learning.

    So my favorite examples here are chess and go and other games like

    that.

    The computers now are insanely powerful. People still love learning

    those games because there’s the intellectual challenge and the reward,
    and I I actually think a really interesting frontier for tools of
    thought is how do you leverage this amazing AI power to help people
    learn these games faster in a programmatic way. So I can imagine
    something in the style of Andy’s mnemonic medium, which is, in his
    case, it’s using space repetition to help you stay at the frontier of
    your knowledge, so you’re kind of when you’re on the brink of
    forgetting or when it’s most important to learn a concept is when it
    challenges you with a question. Um, I can imagine a similar thing um
    applied to a domain like a game where instead of having Some linear and
    predetermined set of lessons or problems, it plays you and says, OK,
    these are your weaknesses, um, you need to do some exercises in these
    three areas. I’m going to keep giving them to you until you master
    them, and then we’ll move on to the next area and that can all be done
    programmatically because these computers have a much better
    understanding of the game than we ever will, even experts.

    00:27:51 - Speaker 2: Chess actually makes me think of this book I read

    a little while back by Garry Kasparov. I just looked it up. It’s called
    Deep Thinking where Machine intelligence Ends and Human Creativity
    Begins.

    And famously, this guy is both the chess, one of the world famous sort

    of um what’s the word for it, chess grandmaster or whatever, the the
    highest ranked chess player in the world for, for a period of time.

    But he was the one who was first, the first time that the best human at

    chess in the world at the time was beaten by a computer, and many really
    heralded that it was this huge, certainly PR win for the people that
    were building these AI algorithms, but for a lot of people that it
    really heralded the beginning of call robots taking our job or the AI is
    going to be here or or what have you.

    And he gets, it’s, it’s so interesting because on one hand, he just

    reflects on the experience of that just being so, I’m not sure what the
    word is for the, the, the, he walks through the experience of grappling
    with this alien intelligence or this thing that plays the game in a way
    that is so different from any how any human would.

    Then he goes on to talk about how the game has changed in the years

    since, which is now it’s just taken for granted that chess computers
    are better than human players period.

    But it didn’t necessarily lead to A generalized artificial intelligence

    for now you just, it’s computers can be extremely good at playing chess
    and that doesn’t really seem to lead to something beyond that.

    You know, you can obviously go from there to, OK, now they can play go

    and they can play StarCraft. Maybe that does eventually lead to
    something general purpose. But the, but the point you mentioned that
    made me think of the book was he talked about how the game has changed
    in the form that really what it comes down to is humans and computers
    collaborate. To play their best game.

    They analyze, for example, the games of the players that they’re going

    to go up against. So even if you’re not using a computer at the time of
    playing the game, your game has changed substantially because you have
    this computer, I don’t know what it is, assistant helping you in the,
    the training, the analysis, the pre-game, the postgame, um, and so in
    fact, we’re seeing that it’s not really that chess AI replaces human
    chess playing, it’s more that it’s, it’s just morph.

    00:29:57 - Speaker 1: The whole mor the whole sport, right, and I think

    that points to the, the general future here. It’s, it’s not AIs taking
    over all our jobs and our work it’s more of a symbiosis and
    collaboration.

    Perhaps the most obvious version of this is, uh, the AI is very good at

    generating a bunch of plausible possibilities, especially one like GPT
    3, you know, just spits out a bunch of texts and maybe 90% of them are
    no better than plausible, like you read them closely, don’t really make
    sense, but 1 out of 10, the human can say, ah, that’s actually quite
    interesting. I’m going to pluck. That one for my business email or what
    have you. Um, so I think we’ll see a whole wave of tools like that, but
    otherwise I’ll believe that the takeover of AI when I see productivity
    statistics, which of course we haven’t for some decades.

    00:30:33 - Speaker 2: Yeah, I think on the creative tools in tandem or

    in symbiosis with a human generative design, I think is one area that’s
    got some, some buzz on that, and that’s the basic idea that you can
    feed a computer algorithm or or an AI of some kind.

    A set of constraints for a problem you have, you know, you’re designing

    a building and you want it to be this, hold this many people and have
    these kinds of structural qualities and have these kinds of aesthetics
    qualities.

    And it essentially generates you a bunch of options and then you can

    choose between them and kind of winnow winnow down this kind of
    assistive tools often that has to do with more the called the brute
    force, the ability to generate lots of options and lots of weird options
    potentially. Uh, actually, one place that um I’ve used that thing, not
    a, not AI but just an algorithm is in naming several different
    companies, including Hiroku and Inc and Switch. I basically wrote little
    programs that took some of our raw input that we brainstormed. And
    combine them together in every feasible way. In the case of Inc and
    Switch, we knew we wanted two words separated by an ampersand. We came
    up with every word for each slot A and slot B that we wanted, and I just
    wrote a program that spit out every single possible combination, and we
    could go through them and look for what we liked best. That that that’s
    pretty far from generative design, I suppose. But, but it fits into this
    general assistive tools thing. And certainly one thing I, I hear from
    folks a lot when they talk about this is, OK, we, we’ve come to accept
    autocorrect in our writing.

    00:31:58 - Speaker 1: Uh, what’s the autocorrect for though I feel like

    autocrack is getting worse. It’s just like it’s going rogue. It says
    underlining random words now.

    00:32:04 - Speaker 2: I actually did an experiment some, I, I got it

    irritated enough with autocorrect in terms of it’s great when it works,
    but when it doesn’t, it’s way more effort to go back and correct or,
    yeah, it’s way more, more effort to get what you want.

    I did an experiment for a little while of just turning off autocorrect

    on my phone.

    Actually, you know what, I think I was about as fast. I was like slower

    overall, uh, or slower on individual words that autocorrect would have
    gotten, but if you took away the correcting for mistakes, uh, thing that
    I so often had to do it, I think it came out as kind of a net wash, and
    then also not being there was definitely an emotional win to not being
    frustrated with the thing, uh, auto correcting a person’s name or
    whatever for the 10th time.

    00:32:46 - Speaker 1: Another potential angle on AI and tools for

    thought is via social networks.

    As much as I like tools and and software, it’s probably the case that

    the most powerful technologies, if we will, that we have for thought are
    the social networks and the institutions that we participate in.

    The thoughts that we have are so influenced by our friends, our

    colleagues who are talking to what we’re seeing, and of course, we’re
    seeing a lot of that happening via social networks these days, and
    there’s a lot of ways you can say that’s bad or troublesome, and
    there’s certainly some work to do, but just something like YouTube or
    Twitter, being able to help you find people in your area of interest. To
    talk to and learn from is, is very powerful and I think there’s
    actually a lot more we could do in that space that is using AI to build
    robust social networks and in turn helps you have better thoughts.

    00:33:30 - Speaker 2: Yeah, that also connects back to the creative

    fodder idea, as we’ve said many times before, ideas don’t come from
    nowhere. They’re they’re brickage of other ideas. Where does that come
    from? Well, exposing yourself to as many different ideas as you can
    through as many sources as you can. Something like Twitter, for example,
    is just a really amazing place to do that. YouTube as well can be.

    Now, I think it’s hard or even impossible to have your own ideas or

    have original ideas if you’re constantly plugged in. Same thing is true
    at a like a work or a team level, your company’s slack, your whatever
    other formats you have for connecting with your colleagues, it’s really
    powerful to be connected to that group mind. And be influenced to
    bombarded by and influenced by all the ideas and opinions.

    But in the end, if you want to have an original thought, I think you

    need to disconnect from that a little bit. But to completely disconnect,
    you’ll just won’t have that fodder.

    But if you’re plugged in all the time, you’ll just never have an

    original thought because you’re just being pushed to and fro by
    everyone else’s ideas. And so there’s some pendulum swing of
    connection to isolation, where you can connect for a while, get all that
    fodder, disconnect a little bit, go a little deeper on your own ideas,
    come back and reconnect.

    So thinking about the future, we’ve already seen some exciting movement

    in tools for thought, making it into production or commercial
    environments with things like notion, Rome, Sigma, as well as great
    research work like Andy’s work on mnemonic devices, or something like
    Aki, the space repetition. Uh, system that’s, it’s kind of related to
    that. What do you think the future holds, particularly given the, the
    public goods problem you mentioned earlier of how this stuff gets
    funded? Are we gonna enter a renaissance where we can maybe finally
    reach the beautiful vision that these folks from the 60s and 70s, 80s
    outlined? Do you think there’s a new direction where things will go?
    Uh, is it going to continue to be hard to get tools of thought? Built in
    today’s world.

    00:35:27 - Speaker 1: The economics problem is going to remain hard but

    not insurmountable, which I mean these things are inherently somewhat of
    a public good. It’s hard to fund them slash capture the value when you
    make great tools and I think that’s going to be the case for the
    foreseeable future given the social technology that we have.

    But that said, I feel like it’s still very doable to make a lot of

    progress in these areas and it just takes a bit of, of will and vision
    and perhaps The the willingness to forego maximum economic return for
    yourself personally, but I feel like even small teams with today’s
    technology can make a lot of progress and I think we’re seeing that.

    And then I think in the substance of the tools, I think first of all,

    we’re going to continue to see certain trends keep playing out. So one
    is this trend of uh mixed media and multimedia in the same tool. I think
    that’s very important, I think with tools like Notion and Sigma and
    Rome, people are becoming more and more accustom. that and that’s going
    to be baked in and we’re going to be less tolerant of tools that are
    strictly for one medium. I think another trend that we’re continuing to
    see is the improved aesthetics slash the consumerization of industrial
    strength thinking tools, which again I think is great.

    00:36:26 - Speaker 2: Needs to be fun, fast, a little playful. You could

    argue that Moleskin, which is a, you know, just a sketchbook company,
    but I definitely count them as a tool for thought. They’re more
    expensive than but no better in a practical sense than a GP paper
    notebook, but people like how they feel, they like how they look, and
    that aesthetic element makes a difference for, I think you. Your ability
    to do good creative work.

    00:36:51 - Speaker 1: Yeah, and one other existing trend that I see

    continuing and accelerating is leaning on video slash video games.

    These are mediums that were hard to use or hard to produce content for

    even 5 or 10 years ago, and now the technology is such that basically
    anyone can make really high quality content in these areas and so we’re
    seeing more more and more of that, YouTube being the predominant
    example, but I think video and Slash the video game model will be
    integrated more into Tools for Thought.

    And then looking forward, OK, I think there’s a fairly obvious bet

    about AI that we talked about. I think that one’s been played out a
    fair amount on Twitter and so on. So I won’t go into that too much
    here.

    But if I had to pick one less obvious trend to bet on, it would be, but

    if I had to pick one new trend to bet on, it would be leveraging
    software to enhance these traditionally non-toolly aspects of the
    creative process. So, the social side, the physicality side, things like
    that. I think those are kind of two pretty different worlds
    historically, um, but I see more tools, uh, bridging that gap and
    leveraging the importance of those spaces for your creative process.

    00:37:51 - Speaker 2: Yeah, very interesting. What are some examples of

    products or companies or um tools that you’ve seen that tap into this
    community and people’s side of things.

    00:38:00 - Speaker 1: So it’s often the case that gaming industry was

    the leader here. So there are now these incredibly sophisticated
    communities around individual video games where people follow creators
    who they’re really interested in, and it started as just kind of watch
    someone playing the video game, then they become these, these social
    environments where there’s a kind of community around it, and then it
    becomes a way to learn how to play the game. Like there’s a bunch of
    tutorials and lessons and you learn from other people in the community
    and you watch each other play and stuff. Like that, and that’s all
    mediated by technology, um, because it’s, it’s otherwise very hard for
    these people to find their community because there might be 1000 people
    in the world who are really into this niche video game and who are
    playing at a high level with the right tools and platforms between like
    Twitch, YouTube, and the game itself, for example, and Discord, you can,
    you can form a community.

    00:38:44 - Speaker 2: And I’ll note that that includes not just playing

    games.

    But also like speed running or something like that, but also includes

    creating the games.

    Many indie game developers stream themselves, program the game designing

    game on Twitch. People jump in and watch that and learn from them.

    And there’s also, yeah, huge YouTube communities and channels and

    things around just generally learning to program and learning all kinds
    of technical skills.

    Certainly I’ve learned things about video editing and things like that.

    Through, through YouTube.

    So this kind of watch a creator or producer use some sophisticated piece

    of software to do some, do their creative process, maybe thinking out
    loud as they do. That’s a really powerful way to share tacit knowledge
    about how people do what they do.

    00:39:29 - Speaker 1: Yeah, and then I think it’s like you’re saying,

    it’s trickling down from games into more like professional environments
    or tradecraft environments, things like you said, Photo editing, video
    editing, or things like woodworking, there are now sophisticated
    communities around that and online tools we can learn.

    But then I think bringing it back to tools for thought, we’re starting

    to see these, these communities and tools form around more like
    intellectual topics and ideas.

    So there’s, there’s a bit of a progress studies community developing,

    for example, now we have podcasts and classes and Twitter. Cohorts and
    some slacks and some discords and those feel pretty early, but it feels
    like we’re bringing some of those patterns and sensibilities from the
    gaming world and into these more intellectual domains.

    00:40:12 - Speaker 2: Well, that comes back to that I think when we say

    tools for thought, sometimes you talk about maybe for example
    methodologies, how to work things like getting things done or inbox zero
    or building a second brain or something like that. Um, so you’ve got
    communities, you’ve got Software that you run, you’ve got analog
    tools, you’ve got uh techniques and methodologies. So really this is, I
    guess, a lot, a lot broader than just as you said earlier, what goes in
    the rectangle.

    00:40:40 - Speaker 1: And also I think technology is going to infuse all

    these other areas and we’re going to have a sort of Technologies for
    thought, if you will, um, both software per se, but also communities,
    networks, methodologies, habits, institutions, Twitter threads, and so
    on, all working together to help people develop better ideas.

    00:40:59 - Speaker 2: Well, that makes me pretty excited for the future

    of being a thinker and a creative person.

    00:41:04 - Speaker 1: Well, with that, I think we can wrap it, and if

    any of our listeners out there have feedback, feel free to reach out to
    us at @museapphq on Twitter or hello at musesApp.com by email. We love to
    hear your comments and especially ideas for future episodes.

    00:41:18 - Speaker 2: See you later, Mark.

    00:41:19 - Speaker 1: See you, Adam.

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    Show notes

    00:00:00 - Mark McGranaghan: Uh, so I, I imagine something like that

    from you where you can pick, you know, your favorite black ink, your
    favorite highlighter, your favorite accent pen, put them in your little
    toolbox, and you have this small, very curated palette that you can
    swipe in and out when you’re actively working on a document, and
    you’re not confronted with like the Photoshop style 200 buttons, most
    of, most of which you don’t know what they do.

    00:00:33 - Adam Wiggins: Hello and welcome to Meta Muse. Use the

    software for your iPad that helps you with ideation and problem solving.
    But this podcast isn’t about Muse the product, it’s about Muse the
    company and the small team behind it. My name is Adam Wiggins and I’m
    here today with my colleague, Mark McGranahan. How are you doing, Mark?

    00:00:52 - Mark McGranaghan: Doing all right. You know, it’s uh

    interesting times over here in Seattle with the virus, but otherwise
    doing pretty well.

    00:00:56 - Adam Wiggins: This is a good moment to be on an all remote

    team, right?

    00:00:59 - Mark McGranaghan: Indeed.

    00:01:00 - Adam Wiggins: So the topic we wanted to talk a little bit

    about today is tool switching.

    And so this is the idea that if you take your stylus, your Apple pencil,

    and you touch to the screen, what happens? You know, what color is it
    inking? Is it erasing? Is it something else? What color is the ink? Is
    it something else totally different, like a a lasso or a scissor tool?
    And this is a a deeper topic than it might seem. Uh, because it comes to
    some values that I think Muse has or that we try to fulfill some
    principles, perhaps you could say in our design, including things about
    modelessness and things about sort of on-screen Chrome. But it also
    touches maybe on our journey from being a prototype in a research lab
    through to a sort of an MVP of beta and hopefully on our way to a
    publicly released, uh, commercial product that anyone can use.

    00:01:51 - Mark McGranaghan: Yeah, it it’s been a really challenging

    problem, much more so than I thought it would be coming in. Uh, one does
    not simply ink on the iPad, it seems.

    00:02:01 - Adam Wiggins: Indeed, yeah. And there’s a whole set of

    technical challenges that maybe one of these days we can get Julia on
    here to talk about would be great. Um, but yeah, maybe we can go back to
    the beginning. Can you, can you frame up the problem for us a little
    bit? What, what were we trying to accomplish? Uh, why, why not just sort
    of have a toolbar at the top, you tap on the thing like you would in
    Photoshop or any procreator or something to pick a tool and then off to
    the races.

    00:02:24 - Mark McGranaghan: Yeah, so as a reminder just mechanically

    what we’re trying to do here is when you touch the uh Apple Stylist to
    the screen, do you get ink, do you get Eraser, what type of ink are you
    seeing, things like that.

    And the very standard way to do this in iPad apps is you have a

    persistent toolbar, often at the top of the screen or some other
    palette, where if you want to erase, you tap the erase icon and if you
    want to red ink, you tap the red ink icon. If you want to highlight, tap
    the highlighter and so on. And that’s a sort of mode where that is
    persistent until you go back to the toolbar and tap it again.

    Uh, so there are two main problems with the standard approach. One is

    that you have that toolbar in your face all the time, uh, which is a
    pretty big deal on the iPad. It’s a relatively small sized device and
    you want, uh, we want as much space as possible for your content and for
    your work, and to not always be looking at like Chrome and toolbars and
    buttons and other stuff that isn’t what you’re actually trying to
    think about and do deep work on. So that’s kind of the the chromeless
    goal. Uh, the other thing is modelessness. So a mode is um a property of
    an interface whereby when you go to do some physical action, The result
    depends on some hidden state of the app. So in this case, that that
    mode, that state is like what um inking button you have pressed in your
    palette toolbar or whatever. And the problem with that is that these
    toolbars, they tend to be off to the side of the device away from where
    you’re working, so you have to basically have your attention in two
    different places. It’s you’re looking and thinking about your, your
    work, the text that you’re highlighting, for example, but then you got
    to remember constantly what’s the actual thing that I’m currently
    working with. Uh, this is subtly different to, for example, if you have
    a physical highlighter. So you have a physical highlighter and you’re
    going to highlight like the highlighter is thicker, it’s bright yellow,
    it’s very obvious what you’re doing because you’re looking at the,
    your hand and your instrument and your work, which are all in the same
    place. But again, that’s not the case with a typical toolbar. Um, and
    so we wanted to try to find an interface that didn’t have this modeful
    property that wasn’t moded like this, uh, as well as it didn’t have,
    um, all this chrome in your face all the time.

    00:04:33 - Adam Wiggins: And a great articulation of this uh modes

    concept is in the Humane interface by Jeff Roskin. And he talks about
    the, I think the really classic example there is the caps lock. This is
    just confounded many, many generations of computer users where when caps
    lock is on, different things happen when you press keys, specifically,
    you get the upper case rather than the lower case. And of course, this
    is really confounding for something like a password field where you
    can’t even see that feedback immediately. But even in a uh another case
    where you can see what you’re typing. You type a word or two and then
    you realize everything’s upper case because the caps lock indicator
    that being on or not, you either have to remember it, or you have to
    kind of look down and see an LED or some kind of indicator, and you tend
    not to do that because your attention isn’t there, your attention is on
    what you’re writing as it should be.

    00:05:23 - Mark McGranaghan: Yep, this also points to a third issue with

    the standard moded interfaces, which is that you actually need to
    physically do the action of moving your hand away from your work to the
    toolbar and back again. And if you’re constantly switching between
    inking and erasing or different types of inks, that actually becomes
    quite troublesome.

    00:05:41 - Adam Wiggins: So let’s go back in the story a little bit and

    kind of Work through the product or design problem.

    So we started from this place of let’s, let’s do the Raskin thing and

    try to be modeless and also that we don’t want a bunch of junk on the
    screen or we want as little stuff on screen as possible, be focused on
    the user’s content, keep all the, keep all the space for your stuff and
    not for the applications, uh, administrative debris. And so, uh, back
    when we were working on this in a research context, which probably
    explain what that means a little bit, but Uh, we set out with this set
    of goals and, and how did we first approach that or what what were some
    of the first things that we tried to see if we could fulfill these,
    these goals while still letting you, of course, do lots of things with
    the stylus.

    00:06:23 - Mark McGranaghan: Yeah, well, so I don’t think we, we fully

    knew what we were getting ourselves into.

    Pretty early on we had these two goals. We don’t want to have any

    Chrome and we want it to be modeless, but if you If you do both of those
    things in any obvious way, you basically can only have one thing that
    the stylist does. um, so for a while our solution was you can only do
    black ink, that’s it, uh, which actually got us surprisingly far, um,
    but then we need to try some other things and, and then we did a whole
    uh litany of experiments.

    We, we did try some standard toolbars and palettes. We tried to make

    them as small and minimal and nonobtrusive as possible. Uh, we tried
    using various uh quasi modes, which is a term that I want to introduce
    here. So, uh, a standard mode is when You kind of do an action to
    trigger the mode and then you go and do your work and then you go back
    to the, the mode switcher to switch it again, whereas a quasi mode is
    when there’s something that you’re basically holding down, it’s like
    when you use the shift key or the command key or holding down some other
    control button, you know, that sort of thing while you’re doing the
    action with your other hand, basically.

    00:07:28 - Adam Wiggins: Yeah, so going back to the capslock example,

    Caps Lock and shift do the same thing. But the difference is that with
    shift, you are not likely to forget you’re in the mode because you’re
    physically holding the button down. And if you ever get confused about
    how to leave the mode, you basically just release, stop doing things,
    and you sort of go back to your default state, exactly.

    00:07:47 - Mark McGranaghan: So, we, we tried all kinds of quasi modes,

    uh, we, we didn’t necessarily have a keyboard, which is the obvious
    place to invoke a quasi mode with some kind of control key, but I think
    we tried, um, Using a physical keyboard, which you can sometimes get
    with tablets. We tried pressing like the volume button on tablets, we
    tried putting your thumb over the camera so that it registers a black
    image. Um, we tried pressing on various special places on the screen
    like press in the bottom left corner if you’re a right-handed anchor.
    Um, so there was various experiments with quasi modes.

    00:08:21 - Adam Wiggins: Also worth noting there that in many cases, so

    Muse runs on the iPad, but In the context of the research lab, we were
    building for a number of different tablet stylus platforms, including
    the Microsoft Surface, Google’s ChromoS, and, um, I think we might have
    even done something with Android at one point.

    And so those actually platforms have different affordances or different

    hardware capabilities. So notably the Surface, for example, has this
    reversible stylus where the back is a quote eraser, which actually is
    really nice because again, You know, you, you have that physical
    reminder, just like your highlighter, um, example, you’re holding the
    thing in your hand in a reverse position. That’s clear, you can see it,
    you can feel it. And so you you flip the thing around to erase and flip
    it back. Fortunately, the iPad doesn’t have that. Uh, yeah, other,
    other platforms like ChromoS, for example, have a barrel button, all of
    that has certain restrictions tied into the operating system. So, we
    tried quite a lot of crazy stuff on this.

    00:09:15 - Mark McGranaghan: Yeah, uh, we also tried some stuff just

    using the stylist differently.

    So one experiment that you had done was using the stylist to write

    special symbols. You called them glyphs, and it was something like if
    you draw an X then it’s cut or something like that and if you draw a
    downward V then that’s paste. um, so we did that experiment.

    Uh, we also tried. Um, using the stylus with different attitudes towards

    the tablet.

    So typically when you’re using a stylus, it’s like pretty vertical

    with respect to the tablet, uh, but you can by holding a different way,
    you can make it almost uh parallel with the tablet, sort of like you’re
    doing a a pencil shading motion, uh, and there, there are sensors in
    most devices to detect that altitude. Um, so we actually use that angle
    to trigger different behaviors of the stylus.

    00:10:06 - Adam Wiggins: Yeah, notably, that one was the one that we

    kind of found most promising. I think we published maybe our Muse design
    article included that as well as Yuli’s. Yuli gave a talk at a
    conference last year with that approach where basically when you would
    hold the stylus overhand, it would allow you to move cards. Uh, or
    resize them, but when you held it in the, uh, more the, the standard
    writing grip, that would give you ink. And I, I really loved that. It
    worked really well, uh, in a lot of ways. It was very intuitive and, uh,
    you know, different grips is something that comes naturally to humans
    and it was pretty hard to get confused between them.

    But ultimately actually that one was. Killed by a technical challenge,

    which was the iPad, and I wouldn’t be surprised if other platforms have
    the same problem. I suspect it’s a hardware thing, but as you get close
    to the edge of the screen, for us, it was, I don’t know, 50 to 80
    pixels, which maybe is, I don’t know, yeah, a couple centimeters. Uh,
    it would basically start to produce bad values.

    We did a bunch of digging on this and filed some bugs and some other

    things, but ultimately and and saw that this is just behavior that’s
    systemwide, but I think no one else ran into it because who the hell
    cares about the exact, uh, you know, why is it critical to hold the
    pencil at a certain altitude when you’re near the edge of the screen?
    Even like typically the only apps that really make use of this data are
    art kind of art drawing apps, Procreate or. by 53 or something like
    that, and you can see when you use them, if you move towards the edge,
    you lose that that sensitivity or the data gets bad about the position
    of the stylist, but it doesn’t really matter because it just changes
    fairly subtly what’s happening with the brush. But for us, the
    difference between moving a card, which could even have the effect of
    deleting it if you flick it off the screen and inking is huge. And so
    that ended up being a To a total non-workable thing for us, and we had
    to step back from it.

    So where did we land? So, so we went through this whole process of

    trying different things on different platforms, again in the research
    context, and then later, once we had kind of resolved onto the iPad as a
    platform and the prototype of what would eventually become a spin out
    product of Muse, by the time we went, went to make this transition from
    the lab to A commercial product we had actually settled on this, uh,
    position of the stylus as the solution, but then I think it was the
    early MVP and the early beta testing with with real users, not the
    initial usability tests. I think those, you know, if you got someone and
    to just try the thing for 20 minutes and and taught them how to use this
    different grip, that worked fine. It was more in practice over longer
    use in the real world where the edge of the screen problem became. Uh,
    basically a show stopper. And so now we’re in this mindset of, OK, we
    need to make this more reliable for real world use and we, we had to
    make the transition.

    So what did we eventually do on that?

    00:12:55 - Mark McGranaghan: So we ended up with two mechanisms. Uh, the

    first is for erasing. If you press on the screen with your non-writing
    hand, say your left hand, while writing with the stylist in your right
    hand, that will actually do an erase. So while you, while a finger is
    pressed down on the screen, You have a quasi mode to do a race with a
    stylus, and then when you let go of your, of your finger, then the
    stylus goes back to inking.

    And then for selecting which ink you use, currently we have three

    options, a standard black ink, a sort of accent, purple ink, and a
    highlighter in yellow.

    Uh, we have this uh flow where you can drag from any edge of the iPad

    screen. With the stylus, and when you drag out from the edge, it reveals
    a small subtle um ink palette where you have those three options, and
    then you can select among those inks like a standard ink toolbar.

    Uh, and then optionally you can swipe back from that toolbar back to the

    edge of the screen and hide it again.

    So this is basically the best, uh, set of compromises that we can come

    up.

    We really like the quasi mode or you’re fairly limited on the iPad with

    much hardware options you have.

    Uh, so for now we’re just using the one finger down and that works

    quite well for racing, but that only gives you one, you know, degree of
    freedom. And so for the other inks, we have this, this toolbar that you
    can slide out, and it is still a mode, but you have the option, but not
    the obligation to kind of see what mode you’re in by uh swiping the
    toolbar out. And if you want to just, you know, go into pure note taking
    mode or pure highlighting mode, you can just hide the toolbar and you
    have 100% of your content again. And there are also other subtle
    benefits to this approach. So like, for example, you can bring out the
    toolbar wherever you want. So if you’re making a note in the bottom
    right hand corner of your document, you can just swipe out the toolbar
    there, pick whatever ink you need and hide it again. Right?

    00:14:49 - Adam Wiggins: And I think this is a great example of the, I

    guess, rectifying the big ideas or the dreams or the just fulfilling
    these principles which create constraints in trying to make something
    interesting, special, unique, solves a problem in a way that hasn’t
    been solved before.

    But then you need to rectify that against the real world.

    And in some cases, even though we set out to make a fully modeless

    interface, the color of your ink or the type of ink is in fact a mode.
    Uh, but I think maybe that one feels a little less dramatic, or a little
    less problematic by comparison to the The much um more diverse modes
    that you have in like a Photoshop, for example, where the difference
    between a selection tool and the fill tool is huge. And so you’re gonna
    maybe, you know, in that case on the desktop, uh, program, you’re gonna
    click on the screen somewhere and something’s going to happen, and it
    could be completely fill the screen with a color when you’re expecting
    to do some selection, and that’s extremely surprising and disorienting.
    With ink colors and ink types, OK, getting the wrong color ink is not
    desirable, and you go, OK, I’m gonna undo that, go back and and switch
    to the ink I want. But it’s all making a mark on the page. So the level
    of surprise and confusion the user feels, uh, if they don’t get what
    they’re expecting, I think is far more minimal compared to the classic
    full fledged toolbar.

    00:16:08 - Mark McGranaghan: Yeah, and this actually reminds me of a

    subtle reason why modes are more viable on the desktop than tablet,
    which is on desktops, when you switch in a mode in the app like
    Photoshop or Final Cut Pro, it usually changes the cursor. So if you go
    into a fill mode on a photo editing program, it probably gives you like
    a bucket with paint flowing out or something like that. Uh, where
    obviously you don’t have a cursor on a tablet. So that’s another
    reason why you have to think more carefully and more creatively on
    tablets about modes.

    00:16:35 - Adam Wiggins: And that comes back to that where your

    attention is, your locus of attention, which is you’re looking at your
    cursor because that’s where you’re about to do whatever you’re
    doing.

    And so if that’s in the shape of a particular tool, obviously it’s not

    as nice as the holding the big yellow highlighter versus holding the
    pair of scissors, but it, it achieves some of that purpose.

    Now, maybe we could talk a little bit about that kind of path from uh

    prototype to early product to maybe production product. Um, which might
    beg some more fundamental questions of why were we trying all these
    weird things? Uh, why, you know, why, why didn’t we just sort of go
    with the status quo? If we wanted to make an app that is good for
    collecting together research and pulling together some excerpts and
    making a few notes, there are some very well established human interface
    guidelines from Apple and just general UI, um, paradigms that exist both
    in the desktop world and, uh, increasingly in the sort of the
    touchscreen world.

    And we could just, I guess, like any other app maker, make an app based

    on those standard paradigms and just put it through the the channel of
    what what our users want to accomplish. Uh, what, why weren’t we doing
    that here?

    00:17:47 - Mark McGranaghan: Well, we, we have a very specific vision

    for how these tablet creative apps should look and feel, and we can go
    into what that is. Uh, as for why we haven’t just copied other tablet
    apps, I, I think there actually hasn’t been. A ton of original thought
    on tablet interfaces. Most tablet interfaces that I see are actually
    transliterated from either the desktop or the phone. Uh, especially see
    this with, um, like casual apps. They’re usually transliterated from
    the phone, by which I mean the app just kind of assumes you have a big
    phone and you’re still using it with like one finger at a time, for
    example, on one hand, uh, which we think is totally not, you know, the
    right way to think about tablets, or for creative apps, often they’re
    transliterated from there. The desktop cousins and you get things like,
    you know, toolbars which don’t necessarily make the same amount of
    sense on a tablet.

    We think that the tablet interface is unique because it, it feels very

    natural to do a certain type of work, work where you’re reaching in
    with both of your hands like directly into the content and manipulating
    it.

    So certainly things like inking but also things like, you know,

    arranging content um very directly on an interface. And so a lot of what
    we try to do with our interface design is make something that’s that’s
    true to that ideal. So one of my favorite examples here is moving
    something on a tablet. The standard way to do that on iOS is you press
    and hold and wait and then move and then maybe uh the app like snaps it
    into some box or grid or whatever, whereas surely the more natural thing
    to do is you just move your finger over the thing and it moves, right?
    Um, but that actually is requires quite a bit of technical and product
    work to actually make work correctly. Um, so we had a similar set of,
    you know, requirements if you will, with, uh, inking. It needs to be as
    modeless as possible, it needs to be incredibly responsive, it needs to
    not get in the way of your work and this process of going from a
    prototype to a production app, we basically maintain. Our same vision
    and goals, that’s been constant throughout. It’s more like
    understanding the limitations and the challenges that we’re going to
    have on the platform and confronting all the realities of getting apps
    in the wild with with users and uh finding something that’s still true
    to our vision, but that can really work in production.

    00:20:09 - Adam Wiggins: Yeah, the typical paradigm for applications is

    you got the desktop world, which is you’ve already Mentioned is tends
    to be mouse cursors, keyboards, command keys.

    There’s usually multi-winded Gy gooey stuff, and that is where powerful

    professional applications tend to be today. They’re obviously very well
    established, and you’ve got all your video editors and audio editors,
    and programming editors and word processors and architecture tools and
    and so on.

    Uh, then you’ve got basically, new generations are growing up with

    touch screens. The touch screens are where most of the innovation is
    happening, but clearly a phone is not the place to edit a spreadsheet or
    write a long email or write a book or something like that.

    Um, and so part of what we were, uh, researching as part of this, this

    lab, which is called Iot Switch, maybe a topic for another day, but was
    this kind of question of what does computing look like in 5 to 10 years
    and specifically for these kind of productive creative apps.

    And productive and creative apps have the qualities that you described,

    which is you need to move very fast. For example, but you also need like
    a rich command vocabulary. You need to be able to do a lot of things.
    And so that kind of led us down this path of like, OK, we live in a
    world where touchscreen interfaces have become both the most dominant
    platform, but also where all the innovation is happening and yet
    they’re very restricted for doing more serious professional. Uh, type
    work. And so, that led us down this path of, OK, how can touch screens
    get more expressive? That leads you to tablets pretty naturally, cause
    they’re bigger, because you can use two hands, because there’s often a
    stylist that goes with it, um, and that kind of took us down this, took
    us down this road.

    00:21:51 - Mark McGranaghan: And the endgame that I envision here is

    that you actually have 3 devices and 3 environments for creative work.
    So, your phone is used for on the go, reading, quick note capture, take
    a picture of something, save a tweet that you saw, that sort of quick
    action.

    Your desktop, I imagine is still used for the most sophisticated and

    complex authoring environments, things like uh editing a big video,
    writing up a big paper in law tech with a ton of references, um, just
    the amount of, of real estate that you have, the richness of the
    controls with keyboard and mouse, um, I think that’s here for a while.

    The place that I imagine for tablets is the sort of intermediate step.

    Where you’re, you’re reading, you’re annotating, you’re
    brainstorming, you’re forming ideas, you’re sketching outlines,
    you’re rearranging concepts and materials, and that seems really well
    suited to the tablet form factor.

    You have a, a moderate amount of space, you have this direct

    manipulation where you can move things around with your hands, you can
    use a stylus which is very natural for freeform ideating and annotating.
    Uh, and it’s very flexible. You can take it on your couch and your
    chair, which is better for like, you know, reading and brainstorming
    than, you know, sitting at your, you know, stiff desk. Uh, but if that
    vision is going to come to reality, we have to treat the tablet as a
    third and unique environment. It can’t be designed like a desktop and
    it. Can’t be designed like a phone. It needs to be its own thing.

    00:23:19 - Adam Wiggins: Do you think it’s asking too much for people

    to buy, maintain, and carry around 3 devices or I guess they would be
    carrying 2, although potentially 3 if you count the, for a lot of
    people, a laptop computer, clamshell laptop is really their desktop
    computer.

    00:23:33 - Mark McGranaghan: Yeah, I think that’s a fair question.

    When we’ve talked to users, and we’ve done a lot of user research for

    Muse and previously in the lab, a lot of people bought an iPad already,
    like on their own volition, because they had the same intuition, even if
    they didn’t quite have the words for it, they were like, I, I feel like
    I should be able to use my iPad for this like creative work, for
    reading, for note taking.

    You know, it’s kind of, I want to be doing that. um, so they, they were

    already halfway there, but they consistently found that the software
    wasn’t there, you know, they had their social media apps and they had
    their, um, you know, transliterated desktop apps, but it wasn’t that
    they weren’t very satisfying. Um, so, so I, I think you guys actually
    are already well on their way to having this 3 device set up. What’s
    missing is the really good tablet specific software.

    00:24:23 - Adam Wiggins: What do you think about other kinds of larger

    Touch screens or just touch screens in different, um, I guess, forms. So
    there’s the uh the Microsoft Studio Surface studio, I think it is,
    which is kind of a drafting table. They’ve got these additional
    accessories like this um this little puck control dial thing, or
    there’s something like Google Jam board. I think Microsoft has a, has a
    bigger one like that. There’s a few of these where they’re basically
    very large touch screens that go on the wall. You can kind of interact
    with them the way you would interact with the whiteboard, for example.

    00:24:53 - Mark McGranaghan: So I think that’s very interesting. I

    think there’s a hypothesis that you move to uh 3 or maybe 4 devices,
    but they’re all slate style. They’re all touchscreen style. Um, I
    suspect that’s further off for a few reasons. Uh, one is there’s just
    a huge library of desktop. Software, and this is the most sophisticated
    software. This is where you have your most complex authoring and editing
    environments, things like, you know, Final Cut Pro. Uh, it would be hard
    to rewrite all of those from scratch, but you know, perhaps we do it at
    some point. Uh, another reason is just the hardware is not there yet.
    If, if you want to get a sufficiently high resolution times a
    sufficiently large physical area that that’s a huge amount of pixels.
    Our GPUs can’t handle it yet, obviously we don’t have the screens for
    it. The the touch resolution isn’t there yet. The touch latency isn’t
    there yet. Um, I, I would say we just got there for tablets in the last
    few years with the iPad Pros. Those have sufficiently high resolution
    and sufficiently quick response times that they can be used, uh, with
    your hands and it and it feels good enough, like the latency is low
    enough and the resolution is high enough. We’re not, we’re not quite
    there yet with these bigger surfaces, but I think if we get there with
    the hardware, which I hope we do at some point. Uh, then we could follow
    with the software and you would have a more unified, uh, touch base
    environment just with different form factors.

    00:26:14 - Adam Wiggins: The makers of those operating systems are

    actually very actively working to try to merge them together.

    The surface platform I previously mentioned runs Windows as an operating

    system and it uses, it also offers a trackpad and a keyboard, so it’s a
    totally standard, you know, desktop operating system in addition to
    being a tablet.

    And then, of course, Apple’s taking baby steps in this direction with,

    for example, mouse support on the iPad. There’s rumors now that there
    will be a trackpad in the next folio keyboard, uh, but whether or not
    that’s there, you also have things like Catalyst to bring iOS apps to
    the Mac desktop, and so you just see this, uh, this, um, these efforts
    to try to blend or bring these, these two platforms together.

    00:26:55 - Mark McGranaghan: Yeah, for sure. No, I do think there is a

    risk here of transliteration gone awry, uh, either on the app level or
    the OS level. So for example, if you just made a really big iOS that ran
    on a desktop, I, I think that would be totally inappropriate for
    professional apps. You don’t have the input richness, you don’t have
    the arbitrary processes, you don’t have the plug-ins, um, so I, I, I
    think we, I think Apple and others need to be careful there, but
    there’s definitely a world where they’re able to create, uh. Touch,
    um, touch OSs across uh the three form factors. This does remind me
    though 11 other thing I forgot about, uh, the, the bigger touch form
    factor is text input. This is something we’ve thought a lot about in
    the lab and as far as I know there’s no good answer for this, uh, onto
    devices yet.

    00:27:42 - Adam Wiggins: So by this you mean you want to like enter in

    two paragraphs of text for an email or something and you’ve got a touch
    screen. What do you do?

    00:27:50 - Mark McGranaghan: Yeah, and actually just like typing out a

    two paragraph email is the relatively easier case on desktop, there’s
    also a lot of like uh random access editing, like where you’re editing
    an email or you’re editing a document or you’re writing code and
    jumping all over the place.

    And keyboards are also used very heavily as control devices, like people

    who are good at like Photoshop and Final Cut Pro, they do tons of stuff
    on the keyboard, they have all these shortcuts, all these control keys,
    and that requires like a very, you know, precise uh mechanism where you
    can do it without looking at your hands and you know exactly what
    you’re doing and you hear the click when you actually go to do it,
    things like that.

    Um, so I think we actually have quite a bit of work to do on the, the

    input, the text input, the control input front for. Um, these devices to
    work and it may be that you actually don’t want to have a pure flat
    piece of glass. You actually want to have some, some physical devices
    like a keyboard or something else, um, to allow really rich, precise
    input for these, these bigger devices.

    00:28:46 - Adam Wiggins: Yeah, for me, I think of the kind of the folio

    keyboard and the stylus as being required accessories for my iPad. With
    those, it ends up being a big phone. Which is fine, but I have a small
    phone that fits in my pocket.

    00:29:01 - Mark McGranaghan: So, yeah, I think it depends more with the

    tablet on your use case, like I think there’s a use case where you’re,
    you’re reading a PDF for example, and you’re annotating it. I think
    you can get away without, with just a stylus in that case.

    00:29:12 - Adam Wiggins: So as a sort of a a closing topic, can we talk

    generally about the research mindset versus the production product
    mindset you mentioned here that like the the text entry problem. I think
    it is very much a research problem.

    00:29:26 - Mark McGranaghan: Yeah, well, the thing about research is

    it’s OK not to come up with a an answer or the correct answer. So I
    mentioned with the ink switching problem for our original research work.
    Our conclusion was like, we don’t know, sorry, you can only use black
    ink for now, it’s too bad. Um, that’s not an acceptable answer for
    people who are paying to use Muse, for example, they need to be able to
    select an ink. Um, so sometimes you have these problems where you just,
    you have to come up with something for the production app. Um, so by
    default, you would start with a, a non-research answer or a non-research
    approach.

    00:30:01 - Adam Wiggins: For me, it’s really important in My work and

    on teams that I’ve been on to understand where something is on that
    spectrum.

    So at Hiroku, for example, we did a lot of pretty innovative things. So

    this is a company both you and I, um, we’re working on some years
    back.

    We did a lot of really innovative things, uh, in our space, but it was

    often important, I think when someone was working on something that was
    a truly novel problem, literally no one had ever, no one in the history
    of the universe had ever tried to solve it. Uh, or, or had solved it
    successfully.

    And then you’re in there trying to, to, to solve that.

    It requires a longer time horizon, a much more divergent set of ideas.

    You need to really break out of the constraints of the box that you’re
    operating in day to day, and that’s totally at odds with what I would
    call like the operational mindset, which is exactly what you said like
    you have to. You’ve got customers, things are on fire for them,
    metaphorically speaking, and you need to deliver them some kind of
    solution and it doesn’t do to say, let me go into my ivory tower and
    think deeply about this for the next 3 years and eventually publish a
    paper that said this is a problem that can’t be solved right now that
    that doesn’t work, but. The operational mindset naturally keeps you on
    shorter time horizons. It keeps you sticking to things that are more
    known quantities as much as possible. You want to look at what are other
    people doing. Uh, what, what are other similar, uh, applications or
    software packages or companies do to to solve similar problems and
    borrow from that as much as you can because those are known paths.
    Whereas research is all about this total unknown discovery thing, and
    that can be very rewarding in in the sense of stumbling across novel
    inventions, but uh it’s it’s not super practical for production.

    00:31:51 - Mark McGranaghan: Yeah, exactly. And because these domains

    are so different, the constraints, the requirements, even the people who
    tend to like working on them, um, it’s often best for them to be in
    quite different, like different different organizational setups and like
    that’s one of the reasons why I think the Ink & Switch lab plus Muse
    is so interesting. Muse is inherently more industrial, commercial
    focused. Uh, the lab is inherently more research and exploratory
    focused.

    00:32:18 - Adam Wiggins: Yeah, the the typical set up there and actually

    some of our inspiration for how we did set up I can Switch was the
    corporate R&D lab.

    So this is something, uh, Xerox PARC is probably one of the most famous

    ones in the computing. Um, industry. So there you had Xerox, which is
    this big company that makes copiers and has money to spend and wants to
    think about, uh, what their future facing products are going to be in
    PARC being the small band of misfits that are working on basically
    inventing what came to become the desktop computer. Uh, but there’s
    other examples of this. Bell Labs is another very venerable, famous,
    successful, uh, lab that works this way.

    And the idea is that you, you actually need and want to If not, uh,

    isolate, then at least partition people who are doing research, the kind
    of wild mad scientists thinking way outside the box stuff from the
    people who are responsible for the, the, the product that you’re
    selling today. And hopefully people can move back and forth between them
    and hopefully there’s mutual respect, but they just require completely
    different modes of operation.

    So going forward from here, there’s more tool switching problems to

    solve. For example, a some kind of selection blasso thing is probably
    something that’s needed. Uh, do you have an inkling of how we’ll go
    about kind of solving that problem that stays consistent with our
    values, but also knowing how much we’ve grappled with the with how hard
    that problem faces?

    00:33:43 - Mark McGranaghan: Yeah, so I have 3 ideas here. One is, I

    suspect we’ll move from ink selection to instrument selection. So
    again, if you go back to the physical world, you think about how you use
    your hands. You don’t only use it for inking, you use it for erasing,
    you might pick up an exacto knife, you might pick up a brush, uh, you
    might pick up a ruler. Um, and I think that’s, that’s a powerful
    metaphor. So I can imagine, for example, if you have a lasso, that
    becomes a sort of sibling to the inks that you can pick in the same way
    from the same sort of palette.

    00:34:15 - Adam Wiggins: Now does that bring us back to, you know, where

    we started, which is basically the, you know, the on-screen toolbar that
    has all your tools, the Photoshop, the Procreate, and that sort of
    thing. Are we essentially have we, have we worked our way around backed
    ourselves into what is for good reason, a standard pattern?

    00:34:31 - Mark McGranaghan: Well, I think that could happen. Um, but,

    you know, for one, we have this thing where you drag it out from the
    edge so you can hide it if you want. Um, but the, but the other idea I
    have here is going to a model where you have a small number of
    instruments that you’re actively working with.

    So again, to go back to the physical metaphor, if you’re working on

    some projects on your desk, you don’t have like 100 pens, you know,
    strewn all over your desk, which is what happens when you have a toolbar
    on desktop app which has a And buttons, right? You are working on
    something, you know that for this project, I need like a black pen, an
    exacto knife, and an eraser. So you go to your shelf, you bring those
    three things to your desk, and then it’s very easy to switch among
    those for this current project, and then when you want to, you know,
    change your project, you go and you get different instruments from your
    shelf.

    Uh, so I, I imagine something like that from you where you can pick, you

    know, your favorite black ink, your favorite highlighter, your favorite
    accent pen. And put them in your little toolbox and you have this small,
    very curated palette that you can swipe in and out when you’re actively
    working on a document and you’re not confronted with like the Photoshop
    style, 200 buttons, most of most of what you don’t know what they do
    type experience.

    00:35:43 - Adam Wiggins: Although Muse probably also has the benefit that

    we’re not a drawing tool. So you look at something like concepts, for
    example, a really great iPad app with really sophisticated tool
    selection, and that’s appropriate there. Because that it is supposed to
    be a drawing app, technical drawing app with a lot of, you want a lot of
    options in terms of things like pen thickness. Muse is a thinking,
    scribbling, sketching app, and just as it would be inappropriate to have
    50 different thicknesses of markers in front of your whiteboard, uh, it
    would be also inappropriate to have a huge amount of choice, I think
    for, uh, for the Muse use case.

    00:36:16 - Mark McGranaghan: Yeah, and I think that’s true both for

    kind of in the moment, you know, so we have this, this. palette, small
    active palette that you’re choosing from, but also when you go to uh
    load out your palette, um, I think we’re going to be quite deliberate
    about how we present those choices.

    So sometimes you see these interfaces where you can, you know, choose

    like basically put in a float for how thick you want your pen to be. I
    think that’s basically not coherent because the difference between a,
    you know, 1.71 pen and a 1.72 pen doesn’t really make any sense. It’s
    not useful. Uh, and indeed, if you go to a high-end pen store and you
    look at like the technical pens, there’s a very specific way that
    they’re sized. They’re basically size in increments such that if it
    was a much smaller increment, it would kind of wouldn’t make a lot of
    sense. It would be too small to be really noticeable or or obviously
    differentiable, so they’re kind of there’s a set of. Of sizes such
    that you can cover the full spectrum, but they’re not uh too finely
    degraded, right? Uh, so I can imagine for choosing sizes, for choosing
    colors, you have a, a carefully thought out, um, set of options such
    that you have choice, uh, but you’re not confronted with more choice
    that makes sense. Well, I think those were the main three things. So
    curated load out, uh, the, the swipe from the side, and what I call the,
    the high-end pen store where you’re, you’re given a set of options
    that kind of makes sense versus putting in floats.

    00:37:40 - Adam Wiggins: And do you imagine that then, um, having

    grappled with all of this and, you know, Azimuth or uh altitude rather
    of the stylus is probably out for a while and quasi modes don’t have
    enough, um, dimensionality, uh, and there’s probably not going to be
    some kind of extra hardware button or controller or something we can
    make use of that the. Uh, hidden by default, small tool palette, uh, is
    basically the, the solution we’ve landed on for the, let’s say the
    medium term.

    00:38:08 - Mark McGranaghan: Yeah, I think probably for the medium term.

    I, I, I do think quasi modes are actually very good.

    Uh, so I, I definitely think we’ll continue to do the press to hold.

    Uh, I, I could imagine extending that slightly. So for example, maybe
    you press two fingers and you get a secondary option.

    Um, I can imagine that that is configurable. This is a pretty common

    pattern in professional tools like you can choose what the shift key
    does. You can choose what the command key does, and there’s a, there’s
    an obvious default, um, but if you want to set that up, you can do it.
    And lastly, I could imagine as a sort of optional set up for people with
    a physical keyboard, you know, holding down 123, quasi mode engages your
    ink or your instrument 12, and 3, and so on.

    00:38:50 - Adam Wiggins: Yeah, or having some kind of optional

    accessory. I think I saw this with uh Loom. It’s a cool little um iPad
    animation app that came out pretty recently, and they have the optional
    ability to use the teenage engineering MIDI controller, which is a
    little dial thing, and you wouldn’t want to require that obviously,
    but, uh, but maybe that is something that enhances the power of the
    tactility of the app.

    00:39:12 - Mark McGranaghan: Yeah, exactly, and uh now this gets beyond

    a little bit the medium term, but Uh, one idea that I’m excited about
    is using the phone as a sort of sidecar control panel. So everyone has a
    phone, they always have it on them. What if you could just put it on
    your desk and like, you know, you link your tablet and your phone, and
    then your phone becomes your palette. So you could, you have 4 or 5
    buttons there, you could have a finger cording there, you could have a
    little slider there, um, and that would give you a lot more degrees of
    freedom. On, you know, quasi modes without requiring a secondary
    dedicated hardware.

    00:39:45 - Adam Wiggins: And is the benefit there, you know, that that

    in that case it’s not a tactile thing like an eraser you flip over or a
    dial you turn, it’s another touch screen. What’s the, uh, what’s the
    benefit other than I suppose just more screen real estate of having it
    on a separate touch screen?

    00:39:59 - Mark McGranaghan: Yeah, well, it’s uh more screen real

    estate, it’s kind of separately programmable. Um, you can have it in a
    physically different place. So if you think about how you use a keyboard
    in your mouse, it’s if you’re right handed and you have your mouse in
    your right hand and you have your control keys on the left side of your
    keyboard, there’s 12 or 18 inches because that’s kind of the, the
    correct and natural spread of your hands, um, if you’re in a very
    neutral position, whereas if you’re, you know, have your hands right
    next to each other, it’s a little bit artificial. Um, so it’s, it’s,
    it’s an exploratory idea we to see, but I think there’s some promise
    there.

    00:40:30 - Adam Wiggins: And certainly the idea of having your offhand,

    you see this with um Wacom tablets, often in professional like graphic
    designers, artists, types, uh, or you see it even in something like um
    uh people who play competitive video games, something like a. Um, yeah,
    these first person shooters where you need to, uh, be very fast and
    responsive, and you tend to use the mouse in one hand, which is kind of
    your move, shoot, aim, uh, thing.

    But then you also have the keyboard which you end up kind of putting

    your, uh, fingers on certain keys that activate, I don’t know,
    switching, switching weapons or something like that. And the important
    thing is you don’t need to look at that hand because your fingers are
    in a particular position and they stay there.

    So I could picture that for the phone, which is you kind of have your

    hand, your, your offhand, that’s left or, you know, left hand if
    you’re right-handed positioned over the phone in a way where you, you,
    you don’t really need to look at it. You can press to activate
    different things, uh, and just go completely by feel, even though the
    touch screen feels, of course, not like tactile buttons, but the shape
    of the phone and the position of the phone is something that you sense
    or feel even without looking at it.

    Yeah, exactly. Very nice.

    Well, anything else we should talk about on the topic of tool switching?

    I don’t think so. And if any of our listeners out there have feedback,
    feel free to reach out to us at @museapphq on Twitter or hello at museapp.com
    via email. I’d love to hear your comments or ideas for future episodes.
    All right, it was a pleasure chatting with you. Likewise, Adam.

    0 min
  • 85 // Local-first podcast and conference

    Metamuse is still on hiatus, but this is a brief announcement of some related projects. Localfirst.fm is a new podcast that Adam is helping to produce. And Adam is on the organizing team for Local-First Conf 2024, held in Berlin on May 30.

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    Show notes
    • Localfirst.fm podcast
    • Local-First Conf 2024
    • 3 min
    • 84 // Retrospective

      Mark and Adam take a look back at three years of podcasts to reflect on their favorite episodes—and the friends they made along the way. They discus Metamuse’s origin story, walk through the production process, and wax nostalgic on some of their favorite episodes. Plus: a look at what the future holds for our hosts and the podcast.

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      Show notes
      • NPR
      • The future of iPad
      • Ferrite
      • Hello Internet, Gastropod, Lexicon Valley
      • This American Life, Gimlet Media
      • Most downloaded episodes: Computers and creativity with Molly Mielke, Sync, Growing ideas with Andy Matuschak
      • Mark’s favorite episodes: Local-first software with Martin Kleppmann, Local-first one year later, Hiring, Cities with Devon Zuegel
      • Adam’s honorable mentions: Progress with Jason Crawford, Rich text with Slim Lim
      • Metamuse podcast guest handbook
      • lossless audio
      • Riverside
      • Audio editor Mark Lamorgese
      • Post-producer Jenna Miller
      • Podcasting Microphones Mega-Review
      • XLR microphone
      • pro sound dampening material
      • RØDE Podcaster
      • Pop filter, plosives
      • John Michael Greer
      • 1 hr 22 min
      • 83 // End and beginning

        Bittersweet news is the topic of this episode. Adam Wulf and Adam Wiggins discuss the end of an era for Muse, leadership transitions, and what the future holds for Muse 3.0 and beyond.

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        Show notes
        • An end, and a beginning
        • Ink & Switch
        • Adam Wulf
        • Loose Leaf
        • Here, File File
        • prosumer
        • Industrial research with Peter van Hardenberg
        • Netlify proxy, Webflow, Hugo
        • Managing Transitions: Making the Most of Change
        • 1 hr 1 min
        • 82 // Spatial computing with Yiliu Shen-Burke

          Is virtual reality useful for productivity software? Yiliu is the founder of Softspace, a VR/AR tool for thought. He joins Mark and Adam to discuss the human brain and body as inherently spatial systems; the question of whether information is fundamentally 2D; and why social comfort is the biggest challenge facing VR today. Plus: how to avoid a dystopian future.

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          Show notes
          • Yiliu Shen-Burke @softspaceninja
          • Softspace
          • Wim Hof breathing method
          • Studio Olafur Eliasson
          • The Brain Maps Out Ideas and Memories Like Spaces
          • Oculus
          • Oculus development kit
          • heads-up display
          • Scott Greenwald’s Media Lab thesis
          • Beat Saber
          • A Beautiful Mind
          • Softspace demo
          • force-directed graph
          • Steven Johnson on DevonThink
          • Google Glass, Magic Leap, Vision Pro
          • Supernatural
          • vergence
          • history of VR
          • PlaneVR: Social Acceptability of Virtual Reality for Aeroplane Passengers
          • 1 hr 36 min
          • 81 // Evergreen notes with Stephan Ango

            Quotes from famous people or books can turn a feeling or a concept into a memorable chunk of text—how can we do the same for our own ideas? Stephan is the CEO of Obsidian, and he joins Mark and Adam to discuss notes as personal memes, the balance between freedom and cohesion in plugins, and why it's so hard to be messy in digital tools. Plus: why “tools for thought” rubs Stephan the wrong way.

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            Show notes
            • Stephan Ango @kepano @[email protected]
            • Obsidian
            • Pillowy Swedish cinnamon rolls using the tangzhong technique
            • Lumi
            • Erica Xu, Shida Li
            • Growing ideas with Andy Matuschak
            • Evergreen notes turn ideas into objects that you can manipulate
            • Apple Notes, Apple Journal
            • Zettelkasten
            • stream-of-consciousness writing plugin
            • Obsidian developer docs
            • Launchers with Thomas Paul Mann
            • Infinite canvases with Steve Ruiz
            • Obsidian Canvas
            • Excalidraw, ExcaliBrain
            • .canvas format
            • 1 hr 19 min
            • 80 // Planning

              Planning might have a reputation for being boring, but Adam and Mark believe it can be one of the most exciting moments in your team’s work. They discuss the importance of inspiration and collective knowledge; the musical rhythm of planning cycles; and how to “draw the line” when prioritizing. Plus: the importance of revisiting the plan in times of doubt.

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              Show notes
              • Muse for Teams beta announcement
              • Against boring planning
              • agile methodology
              • ticket trackers
              • Gantt charts, burndown charts
              • Pivotal Tracker
              • kanban board
              • Jesper Jørgensen
              • V2MOM, OKRs
              • effort to impact chart
              • Leadership Lessons from Dancing Guy
              • Amazon’s “working backwards” approach
              • go slow to go fast
              • Zoom fatigue
              • shared knowledge vs common knowledge
              • 1 hr 11 min

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