The Generalist

Salar al Khafaji is the CEO and founder of Monumental, a company building autonomous robots that assemble buildings, starting with its bricklaying system. After selling his previous software company to Palantir, Salar took time to explore big industries ripe for disruption before landing on construction—a sector that represents a significant portion of GDP yet has seen decades of productivity stagnation.

We explore:

• Why construction represents a massive opportunity for technological innovation

• How Monumental's system of three robots works together to lay bricks autonomously

• Why Europe's severe bricklayer shortage has created wages as high as €80/hour

• The post-WWII shift away from beautiful architecture and how to bring it back

• Why operating as a subcontractor rather than selling robots makes business sense

• The challenges of building a hardware startup in Europe's tech ecosystem

• How Palantir's "cult-like" culture influenced Monumental's approach to company building

• The balance between structure and productive chaos in scaling a startup

• Why the best robotics companies solve specific problems rather than building general-purpose machines

• How to foster ambition in Europe's startup ecosystem

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Transcript: https://www.generalist.com/p/building-beautiful-homes-with-robots-salar-al-khafaji

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Timestamps

(00:00) Introduction to Salar

(04:44) Overview of Monumental’s work and mission

(06:25) Salar’s journey after selling his company to Palantir

(11:46) Stagnation in the construction industry

(14:21) The mental shift from software to hardware entrepreneurship

(16:10) Salar’s funding framework

(18:21) The post-WWII decline in constructing beautiful buildings

(20:23) Choosing bricklaying as the first construction trade to tackle

(25:20) Why Monumental operates as a subcontractor

(28:38) The limitations of 3D printing and prefab construction

(33:15) The technology and pricing bets Salar made

(33:45) Lessons from Palantir's culture

(39:35) Monumental's company culture

(42:31) An overview of a construction job from start to finish

(45:50) Precision and tolerances

(47:50) Surprising challenges in the construction industry

(49:10) The current state of Monumental and what’s next

(54:00) Why humanoid robots don’t make sense for Monumental

(56:16) Building an ambitious company in Europe

(01:00:56) Monumental’s approach to hiring

(01:03:10) The state of European tech and what needs to change

(01:06:00) Salar’s optimistic take on the current state of tech in Europe

(01:10:46) Final meditations

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Follow Salar al Khafaji

LinkedIn: https://www.linkedin.com/in/salark/

X: https://x.com/salar

Website: https://sal.ar/

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Resources and episode mentions

—Books—

• Impro: Improvisation and the Theatre: https://www.amazon.com/Impro-Improvisation-Theatre-Keith-Johnstone/dp/0878301178

• Liftoff: Elon Musk and the Desperate Early Days That Launched SpaceX: https://www.amazon.com/Liftoff-Desperate-Early-Launched-SpaceX/dp/0062979973

• Seeing Like a State: How Certain Schemes to Improve the Human Condition Have Failed: https://www.amazon.com/Seeing-like-State-Certain-Condition/dp/0300078153

• The Little Big Number: How GDP Came to Rule the World and What to Do about It: https://www.amazon.com/Little-Big-Number-World-about/dp/0691166528

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Episode resources continued at: https://www.generalist.com/p/building-beautiful-homes-with-robots-salar-al-khafaji

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Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].

Sara Walker is a theoretical physicist who studies the origins of life and the author of Life as No One Knows It. As AI prompts us to rethink what consciousness, intelligence, and life really mean, Sara’s work offers a provocative framework for understanding these questions. In this conversation, Sara shares how she developed assembly theory—a revolutionary approach suggesting that complex objects like DNA molecules (and even microphones) are evidence of life’s processes.

We explore:

• Why Sara believes we need entirely new laws of physics to understand life

• How assembly theory quantifies the transition from non-life to life with a measurable threshold

• Why complex objects like DNA and microphones are evidence of evolutionary processes

• How our perception of objects as “physical” or “abstract” depends on their temporal scale

• Why traditional definitions of life fail as scientific frameworks

• How assembly theory could revolutionize our search for extraterrestrial life

• The surprising connection between urban atmospheres and biosignatures

• Why Sara sees fundamental differences between computation and physical construction

• How assembly theory views AI systems and large language models

• The creative parallels between theoretical physics and conceptual art

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Transcript: https://www.generalist.com/p/what-makes-something-alive-sara-walker

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Timestamps

(00:00) Intro

(03:32) Sara’s background and approach to studying the origins of life

(08:21) Sara’s journey to theoretical physics

(11:40) How the “origin of life” field has evolved since she began her research

(17:35) Introduction to assembly theory and its core principles

(23:11) How assembly theory differs from traditional definitions of life

(25:53) The historical parallels between assembly theory and Newtonian physics

(31:45) Life vs. alive

(34:33) How dabbling across disciplines led to Sara’s focus and partnership with Lee Cronin

(40:43) The connection between theoretical physics and art

(42:32) The probabilistic nature of assembly theory’s threshold

(45:05) The time–size continuum

(48:06) New threads that have emerged after Life as No One Knows It

(50:27) Why assembly theory may be our best tool for finding life beyond Earth

(54:04) The second feature of assembly theory: the copy number

(55:39) The challenges of detecting life on exoplanets versus in our solar system

(01:00:50) How recent AI developments have impacted Sara’s thinking about life

(1:05:48) Whether large language models qualify as “life”

(1:13:05) Final meditations

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Follow Sara Walker

X: https://x.com/sara_imari

LinkedIn: https://www.linkedin.com/in/saraimariwalker

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Resources and episode mentions: https://www.generalist.com/p/what-makes-something-alive-sara-walker

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Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].

Eli Dourado is Head of Strategic Investments at Astera Institute, a foundation funding transformative science and technology across energy, aerospace, AI, and other frontier sectors. Before joining Astera, he worked as a "regulatory hacker" at Boom Supersonic, where he helped navigate complex aviation regulations to make supersonic flight viable again.

In our conversation, we explore:

• How Eli's refusal to be pigeonholed led to a career reviving forgotten technologies

• How lifting the 1973 ban on supersonic flight could reshape aviation, after decades of stagnation and regression

• Why airships need to be massive to be economical, and how they could transform global logistics

• The untapped potential of geothermal energy and why drilling economics are the key bottleneck

• Why titanium could be the next material to undergo a manufacturing revolution

• How reading regulatory fine print can unlock trillion-dollar industries

• Why AI might not automatically solve our productivity problems

• The relationship between technological stagnation and potential civilizational collapse

• The fascinating possibility of harvesting antimatter in space

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Thank you to our sponsor: Brex—The banking solution for startups: https://www.brex.com/mario

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Transcript: https://www.generalist.com/p/reviving-forgotten-technologies-eli-dourado

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Timestamps

(00:00) Intro and Eli's background

(04:11) Eli’s work at Astera Institute

(07:53) The frontier sectors Astera is betting on

(08:57) Eli’s path from academia to tech investing

(13:06) How Eli became involved with supersonic flight

(15:42) Why the airline industry entered “the great regression”

(18:38) The origins of the overland supersonic flight ban

(20:37) Working as a "regulatory hacker" at Boom Supersonic

(27:30) The current state of supersonic flight technology

(30:40) Eli’s cargo airship research

(37:20) What sparked Eli’s interest in airships

(40:23) Why airships fell out of favor as a way to travel

(42:53) How Jim Coutre found a path to profitable airships

(47:00) The pros, cons, and profit potential of airship travel

(50:08) A case for geothermal energy

(55:37) Understanding the “idiot index” and scaling titanium production

(58:36) Thoughts on AI and avoiding complacency

(01:02:00) The risks fueling a potential societal collapse

(01:06:10) Final meditations

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Follow Eli Dourado

Newsletter: https://www.elidourado.com/

LinkedIn: https://www.linkedin.com/in/elidourado/

X: https://x.com/elidourado

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Resources and episode mentions: https://www.generalist.com/p/reviving-forgotten-technologies-eli-dourado⁠

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Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].

Hemant Taneja is the CEO and Managing Partner of General Catalyst, a venture capital firm that has evolved into what he describes as a "strategic conglomerate with venture capital at its core." Under his leadership, GC has expanded beyond traditional investing to become an organization focused on transforming entire industries from healthcare to call centers to insurance.

In this conversation, Hemant unpacks General Catalyst's unusual structure and ambitious mission. He shares why his firm acquired the hospital system Summa Health in Ohio, why AI roll-ups will create some of the most valuable IPOs in the coming decade, and how servant leadership principles have reshaped his approach to building organizations.

We explore:

• How General Catalyst evolved from a traditional VC firm into a multi-business "strategic conglomerate"

• Why Hemant believes the next decade requires completely rethinking what excellence means in company building

• How GC's healthcare transformation company (HATCo) is working to reinvent the American healthcare system

• Why GC made the unprecedented move to acquire Summa Health, a hospital system in Ohio

• How servant leadership principles learned from Ken Chenault transformed Hemant's approach to building organizations

• Why AI is accelerating transformation across industries faster than anyone predicted

• How General Catalyst built its global seed practice through unusual acquisitions of La Famiglia, Venture Highway, and Wayfinder

• Why Hemant believes AI roll-ups of labor arbitrage businesses will become some of the most valuable IPOs in the next decade

• The changing profile of successful founders in an era of rapid technological change

• How General Catalyst thinks about balancing profit and purpose across its portfolio

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Thank you to our sponsor: Brex—The banking solution for startups.

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Transcript: https://www.generalist.com/p/inside-general-catalyst-hemant-taneja

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Timestamps

00:00) Intro

(02:16) General Catalyst’s ambition to help shape the future

(04:23) How General Catalyst challenges founders to think bigger

(06:05) GC's structure as a strategic conglomerate

(10:44) Balancing profit and purpose in venture investing

(12:19) The unusual role of CEO in a venture firm

(15:11) How Hemant approaches decision-making in operations vs. investing

(16:43) Lessons from Ken Chenault and the case for servant leadership at GC

(20:55) What Hemant has learned from Amazon, McKinsey, and Nvidia’s cultures

(23:37) The Berkshire Hathaway model—and how GC’s strategy differs

(25:19) Why Hemant felt GC needed a fundamental rethink

(28:33) What has changed since Hemant wrote his book on AI in 2018

(31:07) Why great founders have shifted from hackers to iterative builders

(32:55) The origin of HATCo and GC’s push into healthcare transformation

(39:32) Why HATCo acquired Summa Health

(43:48) What HATCo is planning next

(46:30) Hemant’s thoughts on policy and responsible AI self-governance

(48:49) Europe’s AI lag, the cloud wave it missed, and the case for sovereign infrastructure

(52:38) Why companies move to the US

(54:22) How to transform traditional industries with AI

(56:37) Rollout vs. buyout, and why starting small makes more sense now

(58:56) How rapid model progress unlocks new opportunities to reinvent businesses

(1:01:10) What companies need to be good partners in the creation portfolio incubator

(1:05:13) Why General Catalyst made rare acquisitions based on deep conviction in people

(1:11:34) Final meditations

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Follow Hemant Taneja

LinkedIn: https://www.linkedin.com/in/hemanttaneja

X: https://x.com/htaneja

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Resources and episode mentions: https://www.generalist.com/p/inside-general-catalyst-hemant-taneja

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Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].

Jesse Walden is the founder and managing partner of Variant Fund, an early-stage crypto fund backing projects like Uniswap, Phantom, World, Morpho, Flashbots, Farcaster, Blockaid, Blackbird, and many more. Before launching Variant in 2020, he was an investor at a16z crypto, where he supported early-stage builders shaping the future of Web3.

In this episode, Jesse offers a wide-ranging view of where crypto stands today, and where it’s headed. He unpacks the rise of stablecoins, the role of meme coins in capturing attention, and why NFTs are evolving rather than disappearing. We explore the challenges of interoperability between blockchains, the shift from invention to productization, and the intersection of crypto and AI, two technologies that may supercharge one another’s progress.

In our conversation, we explore:

• The fundamental difference between AI (technology of abundance) and crypto (technology of scarcity), and why the two technologies are complementary

• How the GENIUS Act is transforming the regulatory landscape for stablecoins and creating unprecedented bipartisan support

• How DAOs 2.0 will return to their original vision: automation at the center with humans at the edges

• How meme coins generate hype and the value of attention

• Why user experience still holds Web3 back and what needs to change

• What still needs to be solved to scale crypto, including true cross-chain interoperability

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Thank you to our sponsor: Brex—The banking solution for startups.

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Transcript: https://www.generalist.com/p/the-future-of-crypto-jesse-walden

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Timestamps

(00:00) Intro

(02:19) An overview of Variant’s work

(03:03) Jesse’s vision of a tokenized future and why it makes sense

(06:19) The state of crypto since 2022

(10:46) The GENIUS Act: what it is and how it could reshape stablecoins

(14:28) How stablecoins are both a payment tool and a communication layer

(17:07) Why stablecoins are not yet convenient in the US

(19:06) Variant’s investment in stablecoins and blockchains

(21:33) The policy and regulation crypto still needs to mature

(24:15) Speculation vs. stablecoins

(27:06) Meme coins and the attention economy

(31:53) The shift from invention to productization

(33:47) How the user experience is evolving in crypto, and what’s still needed

(38:15) Phantom and other companies Jesse is bullish on

(42:20) The short-term dip and long-term rise in developer talent

(47:48) Jesse’s heuristic for determining a founder’s passion in the crypto space

(50:37) Where AI and crypto collide (and what they can do for each other)

(56:48) Why there’s still opportunity for NFTs

(01:01:57) An explanation of DAOs and DAO 2.0’s opportunity for humans

(01:07:04) Final meditations

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Follow Jesse Walden

X: https://x.com/jessewldn

LinkedIn: https://www.linkedin.com/in/jessewalden/

Website: https://jessewalden.com/

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Resources and episode mentions

—Books—

• Narrative Economics: How Stories Go Viral and Drive Major Economic Events: https://www.amazon.com/Narrative-Economics-Stories-Economic-Events/dp/0691182299

• The White Paper: https://www.amazon.com/The-White-Paper/dp/1999675924

—People—

• Sam Altman on X: https://x.com/sama

• Vitalik Buterin on X: https://x.com/vitalikbuterin

—Other resources—

• Bitcoin: https://bitcoin.org

• Stablecoin: https://en.wikipedia.org/wiki/Stablecoin

• Beyond Speculation and Stablecoins: Crypto's Next Phase?: https://jessewalden.com/beyond-speculation-and-stablecoins-cryptos-next-phase/

• What is DeFi?: https://www.coinbase.com/learn/crypto-basics/plp-what-is-defi

• Morpho: https://morpho.org/

• Pump.fun: https://pump.fun/

• Zora: https://zora.co/

• Docker: https://www.docker.com/

• Privy: https://www.privy.io/

• Stripe: https://stripe.com/

• Kraken: https://www.kraken.com/

• Phantom: https://phantom.com/

...References continued at: https://www.generalist.com/p/the-future-of-crypto-jesse-walden

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Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].

What’s next for AI agents, and how will they change the way we work? In this conversation, Stanislas Polu (CEO of Dust, formerly research at OpenAI) and Harrison Chase (CEO of LangChain, one of the most influential open-source AI frameworks) unpack the current state and future of AI agents. They reflect on their early conversations in the pre-ChatGPT days, how the landscape has evolved, and where it's headed next.

Stan and Harrison share lessons from building today’s agent infrastructure—from chat interfaces to the future of ambient, autonomous systems—and discuss the challenges of operating in the chaotic "fog of AI." We dig into the open questions, early insights, and messy realities of building in today’s fast-moving AI landscape.

In our conversation, we explore:

• What sparked Stan and Harrison’s early interest in LLMs

• The pre-ChatGPT era and how the AI landscape has evolved since late 2022

• High-leverage use cases for agents inside Dust and LangChain today

• The critical differences between AI workflows and true agents—and why agents may unlock more powerful, long-term solutions

• Why reliability is the main blocker to ambient agents

• Real-world enterprise use cases for AI agents across customer support, sales, and engineering

• How to build in the “fog of AI” and the challenge of maintaining product vision when foundations shift every six months

• Strategies for creating defensibility in a world where tech giants can quickly replicate features

• The future of multi-agent systems and how they could transform enterprise productivity

• The current state of the AI talent market

• And much more

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Thank you to our sponsor: Brex—The banking solution for startups.

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Transcript: https://www.generalist.com/p/the-evolution-of-ai-agents

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Timestamps

(00:00) Intro

(02:33) Brief overviews of Dust and LangChain

(03:30) The early days of LLM product development

(11:02) Harrison's journey to founding LangChain

(14:35) Dust's evolution and focus on enterprise productivity

(17:15) Tobi’s AI memo

(18:42) An overview of AI agents and how they differ from AI workflows

(26:43) High-leverage use cases for agents at Dust and LangChain

(30:41) How to interact with agents and an explanation of ambient agents

(36:21) What the future of agents may look like

(40:52) Current limitations of AI agents and reliability challenges

(45:40) Will we converge to one agent or many specialized ones?

(51:32) How to solve the sycophant problem

(56:04) The challenges of building AI companies in a rapidly changing landscape

(01:03:06) Recent AI talent acquisitions and market dynamics

(01:05:28) How Dust and LangChain attract talent

(01:09:12) How far off AGI may be

(01:12:52) Final meditations

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Follow Stanislas Polu

LinkedIn: https://www.linkedin.com/in/spolu/

X: https://x.com/spolu

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Follow Harrison Chase

LinkedIn: https://www.linkedin.com/in/harrison-chase-961287118/

X: https://x.com/hwchase17

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Resources and episode mentions:

https://www.generalist.com/p/the-evolution-of-ai-agents

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Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].

Tomasz Tunguz has spent almost two decades turning data into investment insights. After an impressive run at Redpoint Ventures, where he backed Looker, Expensify, Monte Carlo, and more, Tomasz launched Theory Ventures in 2022. His debut fund, which closed at $238 million, was followed 19  months later by a $450 million second fund.

Theory’s goal is simple but striking: to build an “investing corporation” where researchers, engineers, and operators sit alongside investors, arming the partnership with real‐time market maps, in‑house AI tooling, and domain expertise. Centered on data, AI, and crypto infrastructure, the firm operates at the very heart of many of today’s most consequential technological shifts.

In our conversation, we explore:

• How Theory’s “investing corporation” model works

• Why crypto exchanges could create a viable path to public markets for small-cap software companies

• The looming power crunch—why data centers could consume 15% of U.S. electricity within five years

• Stablecoins’ rapid ascent as major banks route 5‑10% of U.S. dollars through them

• Why Ethereum faces an existential challenge similar to AWS losing ground to Azure in the AI era

• Why Tomasz believes today’s handful of agents will become 100+ digital co‑workers by year‑end

• Why Meta is betting billions on AR glasses to change how we interact with machines

• How Theory Ventures uses AI to accelerate market research, deal analysis, and investment decisions

• Much more

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Thank you to the partners who make this possible

Brex: The banking solution for startups.

Generalist+: Essential intelligence for modern investors and technologists.

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Transcript: https://www.generalist.com/p/the-decade-of-data-with-tomasz-tunguzh-h-tomasz-tunguz

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Timestamps

(00:00) Intro

(03:37) Tomasz's background and journey to founding Theory Ventures

(04:57) Theory's data-driven approach to venture

(09:25) The importance of functional experts on investment teams

(11:45) Theory's focus on data systems and why they matter

(15:02) The decade of data

(18:40) The challenges of chip-level investment

(20:11) The state of crypto

(23:30) How crypto could accelerate IPO timelines

(28:12) Tokenized secondaries and venture capital’s evolution

(32:18) Ethereum's challenges against competitors like Solana

(37:25) Hyperliquid

(38:38) The shift from proof of work to proof of stake to proof of authority

(41:20) How Tomasz uses AI for personal productivity

(45:03) How Theory Ventures uses AI internally

(49:41) The future of work with AI agents

(52:42) The current state of the AI race between Microsoft, Google, and Meta

(58:28) Final meditations

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Follow Tomasz Tunguz

Website: https://tomtunguz.com/

LinkedIn: https://www.linkedin.com/in/tomasztunguz/

X: https://x.com/ttunguz

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Resources and episode mentions

—Book—

• Narcissus and Goldmund: https://www.amazon.com/Narcissus-Goldmund-Hermann-Hesse/dp/0553275860

—People—

• Patrick O’Grady on X: https://x.com/_patrickogrady

—Other resources—

• Theory Ventures: https://theory.ventures/

• Insight Partners: https://www.insightpartners.com/

• Palantir: https://www.palantir.com/

• Databricks: https://www.databricks.com/

• Snowflake: https://www.snowflake.com/

• Ethereum: https://ethereum.org

• Solana: https://solana.com/

• Jamie Dimon blasts crypto, tells Senate he would ‘close it down’—even as JPMorgan pushes forward with blockchain payments: https://fortune.com/crypto/2023/12/06/jamie-dimon-crypto-senate-hearing-jpmorgan-blockchain-payments/

• Robinhood: https://robinhood.com/

• Coinbase: https://www.coinbase.com/

• Uniswap: https://app.uniswap.org/

• Sarbanes-Oxley Act: https://en.wikipedia.org/wiki/Sarbanes%E2%80%93Oxley_Act

• ASX: https://www.asx.com.au/

...Episode resources continued at: https://www.generalist.com/p/the-decade-of-data-with-tomasz-tunguzh-h-tomasz-tunguz

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Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].

I'm thrilled to share this very special episode of The Generalist—one I've been looking forward to for a long time. Today, we tackle one of the most urgent questions of our time: What should computing look like in the age of AI?

I'm joined by two extraordinary guests: Alan Kay, a pioneer of modern computing whose vision helped shape the personal computer revolution, and Anjan Katta, founder of Daylight, who's building a radically reimagined personal computer designed for deep thinking in our AI-saturated world. This conversation has been months in the making, and I couldn't be more excited to bring these two brilliant minds together.

We explore how artificial intelligence is reshaping our relationship with computers, whether current computing paradigms serve us well as AI becomes ubiquitous, and what new models of human-computer interaction we might need to thrive alongside intelligent machines.

This is a conversation about reclaiming agency in an age of algorithms—and imagining computing tools that amplify human intelligence rather than replace it. I think you're going to love it.

We explore:

• Why Alan believes the "computer revolution" commercialized in the wrong direction, missing the deeper humanistic vision of early computing pioneers

• How the structure of information, from pagination to platforms, shapes the way we think

• How Daylight is creating a reading and writing-focused device that helps access our "prefrontal cortex" rather than our "lizard brain"

• The concept of a magical medium, and how computing might help us become our best selves

• Why Marshall McLuhan's media theories predicted our current technological predicament decades before it happened

• The critical difference between intelligence and wisdom in computing systems, and why wisdom should be our focus

• How thoughtful constraints in computing design can lead to better thinking and more meaningful interaction

• The urgency of developing systems thinking in a world facing complex challenges

• And much more

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Transcript: https://thegeneralist.substack.com/p/why-the-real-computer-revolution-never-happened

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Thank you to the partners who make this possible

Augment Code: AI coding assistant that pro engineering teams love.

Brex: The banking solution for startups.

Generalist+: Essential intelligence for modern investors and technologists.

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Timestamps

(00:00) Intro

(05:17) The computer revolution we never got (and what we got instead)

(11:45) The value of writing and the impact of the printing press

(21:34) The addition of pagination and the evolution of arguments

(24:53) Why Anjan calls his idealized version of computing a magical medium

(29:00) Alan’s work at PARC and early conceptions of personal computing

(32:02) Moore’s Law and the impact of reality TV

(37:41) How Bob Barton and Marshall McLuhan influenced Alan

(42:31) The problem with labels and what Anjan found surprising about Alan

(46:02) How much help is too much help?

(48:18) Marvin Minsky's military robot story and the history of misunderstanding AGI

(51:50) What we need help with and why wisdom is hard to scale

(54:19) How Daylight approaches computing with humility and thoughtful constraints

(59:13) Alan's reflections on the Dynabook concept and personal computing vision

(01:01:11) The timeline of building Daylight and the idealism behind the project

(01:03:14) The urgent need for different thinking

(01:06:40) A second shot at rebuilding computing from the ground up

(01:11:57) Final meditations

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Follow Alan Kay

LinkedIn: https://www.linkedin.com/in/alan-kay-12a627b/

Quora: https://www.quora.com/profile/Alan-Kay-11

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Follow Anjan Katta

LinkedIn: https://www.linkedin.com/in/anjan-katta-250b232b4/

X: https://x.com/anjankatta

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Resources and episode mentions: https://www.generalist.com/p/why-the-real-computer-revolution-never-happened

—

Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].

Today’s podcast is a little different.

Instead of a new interview, you’ll hear Part I of “No Rivals,” The Generalist’s definitive four-part deep dive into Founders Fund — Silicon Valley’s most controversial (and consistently top-performing) venture firm.

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What’s inside Part I

• How Peter Thiel and team set out to rewrite VC’s playbook

• The contrarian philosophy behind their earliest bets

• The people, power dynamics, and inflection points that shaped the firm

—

Want the full story?

Parts II–IV (a 3h 15m extended cut packed with performance data and insider interviews) are available to Generalist Premium members.

Join here → generalist.com/subscribe

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As a Premium member, you’ll also unlock:

• Case studies on Kleiner Perkins, USV, Tiger Global, and more

• Exclusive interviews

• Private startup databases

• Tactical operator guides

•  And more

All designed to give you an investing and operating edge.

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Skip ahead

(00:00) Intro

(01:30) PART I: THE PROPHET

(05:42) Pals

(11:16) Spite Store 

(18:21) Clarium Calls

(21:57) Gate-Crasher

(28:55) Parker

(40:22) Moonshots

How close are we to the end of humanity? Toby Ord, Senior Researcher at Oxford University’s AI Governance Initiative and author of The Precipice, argues that the odds of a civilization-ending catastrophe this century are roughly one in six. In this wide-ranging conversation, we unpack the risks that could end humanity’s story and explore why protecting future generations may be our greatest moral duty.

We explore:

• Why existential risk matters and what we owe the 10,000-plus generations who came before us

• Why Toby believes we face a one-in-six chance of civilizational collapse this century

• The four key types of AI risk: alignment failures, gradual disempowerment, AI-fueled coups, and AI-enabled weapons of mass destruction

• Why racing dynamics between companies and nations amplify those risks, and how an AI treaty might help

• How short-term incentives in democracies blind us to century-scale dangers, along with policy ideas to fix it

• The lessons COVID should have taught us (but didn’t)

• The hidden ways the nuclear threat has intensified as treaties lapse and geopolitical tensions rise

• Concrete steps each of us can take today to steer humanity away from the brink

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Transcript: https://www.generalist.com/p/existential-risk-and-the-future-of-humanity-toby-ord

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Timestamps

(00:00) Intro

(02:20) An explanation of existential risk, and the study of it

(06:20) How Toby’s interest in global poverty sparked his founding of Giving What We Can

(11:18) Why Toby chose to study under Derek Parfit at Oxford

(14:40) Population ethics, and how Parfit’s philosophy looked ahead to future generations

(19:05) An introduction to existential risk

(22:40) Why we should care about the continued existence of humans

(28:53) How fatherhood sparked Toby’s gratitude to his parents and previous generations

(31:57) An explanation of how LLMs and agents work

(40:10) The four types of AI risks

(46:58) How humans justify bad choices: lessons from the Manhattan Project

(51:29) A breakdown of the “unilateralist’s curse” and a case for an AI treaty

(1:02:15) Covid’s impact on our understanding of pandemic risk

(1:08:51) The shortcomings of our democracies and ways to combat our short-term focus

(1:14:50) Final meditations

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Follow Toby Ord

Website: https://www.tobyord.com/

LinkedIn: https://www.linkedin.com/in/tobyord

X: https://x.com/tobyordoxford?lang=en

Giving What We Can: https://www.givingwhatwecan.org/

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Resources and episode mentions

—Books—

• The Precipice: Existential Risk and the Future of Humanity: https://www.amazon.com/dp/0316484911

• Reasons and Persons: https://www.amazon.com/Reasons-Persons-Derek-Parfit/dp/019824908X

• Practical Ethics: https://www.amazon.com/Practical-Ethics-Peter-Singer/dp/052143971X

—People—

• Derek Parfit: https://en.wikipedia.org/wiki/Derek_Parfit

• Carl Sagan: https://en.wikipedia.org/wiki/Carl_Sagan

• Stuart Russell: https://en.wikipedia.org/wiki/Stuart_J._Russell

—Other resources—

• DeepMind: https://deepmind.google/

• OpenAI: https://openai.com/

• Manhattan Project: https://en.wikipedia.org/wiki/Manhattan_Project

• The Unilateralist’s Curse and the Case for a Principle of Conformity: https://nickbostrom.com/papers/unilateralist.pdf

• The Nuclear Non-Proliferation Treaty (NPT), 1968: https://history.state.gov/milestones/1961-1968/npt

• The Blitz: https://en.wikipedia.org/wiki/The_Blitz

• Operation Warp Speed: https://en.wikipedia.org/wiki/Operation_Warp_Speed

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