Concerning AI | Existential Risk From Artificial Intelligence

Concerning AI | Existential Risk From Artificial Intelligence

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Concerning AI | Existential Risk From Artificial Intelligence episodes

  • 0010: Don’t Worry, Be Happy
    http://traffic.libsyn.com/friendlyai/ConcerningAI-episode-0010-2016-01-31.mp3

    We haven’t found strong arguments on the “Don’t be worried. Here’s why …” side of things. We know the arguments must exist, but we can’t find them (send them to us!). So, what to do? Make some arguments up, that’s what!

    • Size matters (can’t get to big and be a “self” so no reason for AI to wipe us out to use our atoms)
    • There is no “they.” Augmentation means there is no AI outside us, but that humanity becomes AI through augmentation.
    • Random notes we used to organize our thoughts, not necessarily in the episode:

      Jerry Kaplan … we are framing AI wrong.  The main reason people build AI software is to automate tasks, not to create general intelligence.  Therefore we are going to have some economic disruptions (Humans Need Not Apply).  Asserts that worrying about the robot apocalypse is missing the point of what AI is about. “A reminder that AI systems don’t need red laser eyes to be dangerous.”

      Moore’s law is over.  All exponentials die.  We’ve never yet seen one that doesn’t come to an end.

      All progress comes from the human population explosion and that is over, so the rate of progress is actually slowing down.

      There will be many and they will keep each other in check.  This one only helps us if we assume there are other intelligences in the universe and that the AI from here won’t be able to take over everybody.

      They could but they won’t want to:

      * There is no they because it will be us.
      * It will be better than us and we wouldn’t kill us.
      * As long as ants aren’t bothering us, we tend to leave them alone. This might also be true for how superhuman AIs treat us.

      They fragment when they get too big, so they have less incentive to take over everything.

      They could use all of our matter without disorganizing us.

      Ted: It will be us.

      Brandon: They fragment when they get too big.

      Concerning AI | Existential Risk From Artificial Intelligence is made with Jetpack Podcast. Full show notes and every episode at https://concerning.ai/

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    • 0009: Deep Learning
      http://traffic.libsyn.com/friendlyai/ConcerningAI-episode-0009-2016-01-17.mp3

      No real notes this week as we have very little idea what we’re talking about.

      http://www.kurzweilai.net/why-evolution-may-be-intelligent-based-on-deep-learning

      Concerning AI | Existential Risk From Artificial Intelligence is made with Jetpack Podcast. Full show notes and every episode at https://concerning.ai/

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    • 0008: Exponentials
      http://traffic.libsyn.com/friendlyai/ConcerningAI-episode-0008-2015-12-13.mp3

      As usual, here are the notes we used to create the show. We talked about some of this during this episode:

      * OpenAI … wow!

      * Exponentials … we don’t think in them

      ** Lily pad
      ** Bacteria in the bottle
      ** Chess board
      ** Paper folding

      * Moore’s law

      * Kurzweil law of accelerating returns

      Punchline … Bacteria in the bottle.

      * So where are we now?
      * It looks like zero … until it is too late
      * Are we at 11:30 … (still need a microscope to see it)
      * Are we at 11:45 … (barely see it)

      This is really good! This Week in Startups – Audio: E598: Babak Hodjat, Sentient.ai Co-Founder & Chief Scientist (& main inventor of tech behind Siri), is creating artificial intelligence that learns and adapts with our every decision

      https://overcast.fm/+JyGaIiAs

      Let’s just put our heads in the sand!

      Exponentials

      * Several mind blowing examples (classics + some fun new ones)
      * Sigmoid
      * Moore’s law
      * Generalized Moore’s law
      * Why we don’t think a sigmoid of Moore’s law is going to save us
      * kurzweil law of accelerating returns: http://youtu.be/IfbOyw3CT6A

      ** 15 years to sequence HIV, 31days to sequence sars “People declared the Human Genome Project a failure halfway through, when one percent had been decoded — they said it’d take 700 years. My reaction was, no, we’re almost done. It was finished seven years later.”

      * see WaitButWhy screenshots, from this talk: https://vimeo.com/144847615

      * also animated gif showing how long it appears nothing happens and then the lake fills up all at once

      * French children are told a story in which they imagine having a pond with water lily leaves floating on the surface. The lily population doubles in size every day and if left unchecked will smother the pond in 30 days, killing all the other living things in the water. Day after day the plant seems small and so it is decided to leave it to grow until it half-covers the pond, before cutting it back. They are then asked on what day half-coverage will occur. This is revealed to be the 29th day, and then there will be just one day to save the pond. (From Meadows et al. 1972)[3]
      * Bacteria in a bottle example: assume they have all the food they need, the only limit is the size of the bottle – start at 11:00am with one bacteria, they double every minute. At 11:01, we have two bacteria. At 11:02, we have four, etc. The bottle fills up at noon. What time was it when the bottle was half full? Yes, 11:59. At 11:45 we could just barely see the bacteria. At 11:30, we still needed a microscope to see it! What time do you suppose the bacteria would start getting concerned about overcrowding? What if we tried to help by bringing in 3 more bottles, giving a total of 4 times as much space. We’d buy them only 2 more minutes!
      * 10% growth rate equals doubling in about 7 years
      * Diamandis on exponential growth https://www.youtube.com/watch?v=l8ngzUFZQlY Digitization, Deceptive (.01, .02, .04, .08 all look like zero), Disruptive, Dematerialize (smart phone replaces GPS, HD still and video camera, radio, TV, etc), De-monitize (craigslist vs classified ads, uber vs taxi, airbnb vs hotels, etc), Democratize

      * Chess board, if $1 on first square, $1 on 2nd, we fill the board with $64. Change the growth rate from 0 to 5% and the board now holds $434. At 20%: $584,000. At 50%: $372 billion. With rice instead of money, doubling every square: 18 quintillion, 446 quadrillion, 744 trillion, 073 billion, 709 million, 551 thousand, 615 – enough rice to pile up to the size of Mt. Everest.

      === Emperor rice on chessboard (wheat on chessboard) ===

      From https://en.wikipedia.org/wiki/Wheat_and_chessboard_problem

      * 18 * 1 million * 1 million * 1 million … 18,446,744,073,709,551,615

      * 2^0 + 2^1 + 2^2 + … + 2^63

      “The second half of the chessboard” is a Kurzweil phrase that references the point where an exponentially growing factor begins to have significant economic impact on an organizations’s overall business strategy (wikipedia).

      India’s annual rice output is about 1.2 million times as large as the total for the first half of the chessboard (4,294,967,295 … 2^32 – 1).  Around 1,000 times the global production of rice in 2010.

      === Moore’s Law ===

      * The number of transistors in a dense integrated circuit doubles approximately every two years.
      * Accurate for several decades.
      * David House (Intel colleague) concluded that the performance would double every 18 months.

      * Moore’s second law.  The cost of a semiconductor fab also increases exponentially over time.

      === Sigmoid (Logistic) function ===

      1/(1 + e^-t)

      === Kurzweil ==

      From http://www.kurzweilai.net/the-law-of-accelerating-returns

      * My view is that the likely outcome is that on the one hand, from the perspective of biological humanity, these superhuman intelligences will appear to be their transcendent servants, satisfying their needs and desires. On the other hand, fulfilling the wishes of a revered biological legacy will occupy only a trivial portion of the intellectual power that the Singularity will bring.

      Concerning AI | Existential Risk From Artificial Intelligence is made with Jetpack Podcast. Full show notes and every episode at https://concerning.ai/

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    • 0007: Cosmists, Terrans, and Cyborgists
      http://traffic.libsyn.com/friendlyai/ConcerningAI-episode-0007-2015-11-29.mp3

      We were a little thin on homework this episode. Here were some thoughts we thought we might start from:

      Hugo … cosmists, terrans, and cyborgists (transhumanists are one flavor of C or the other)

      Eliezer and Nick … have a framework for thinking about AI ethics

      Kurzweil … when the machines say that they are people we’ll believe them

      Concerning AI | Existential Risk From Artificial Intelligence is made with Jetpack Podcast. Full show notes and every episode at https://concerning.ai/

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    • 0006: Compassion
      http://traffic.libsyn.com/friendlyai/ConcerningAI-episode-0006-2015-11-15.mp3

      Eric Samur’s comment on episode 0005:

      Fascinating. It occurred to me that we may find computational super intelligence too complicated to be useful but once we create super intelligences they may not find directly programming even greater intelligences that difficult. It may not so much be a matter of which path as what order and how many iterations (segments) of each path lead from us to the ultimate intelligence (whatever that is).

      Evan Prodromou’s comment after episode 0004:

      So, Brandon CS Sanders and Ted Ernst Sarvata: I’m loving “Concerning AI”. It’s a great show, and you two have great rapport and cover the issue so well.

      There’s one thing I find lacking, which is something I have come to expect from both of you: compassion. If we are able to develop artificial intelligences with a level of autonomy and reasoning equivalent to humans, we have a moral imperative to treat them as people. They would be, by definition, people. Their well-being should factor into our planning, the same way we’d treat extraterrestrial non-human intelligences who shared our planet with us.

      What kind of future do we have if we intentionally cripple or enslave people because we are afraid of their potential? If that’s the best we can hope for, what does that say about us as a species?

      Maybe the most important thing for humans to be doing in these pre-AI years is to develop legal and ethical frameworks for dealing with non-human people. How smart do you have to be to exercise the rights and freedoms that humans have? Are there other thresholds you have to cross? What does it mean for a non-human person to take their place as an equal individual in our society? And how can we humans learn to welcome our fellow intelligences with dignity and generosity?

      Anyways, great show, and love to listen.

      As usual, our prep notes don’t necessarily match the content of the episode, but here they are:

      Compassion from Ignorance

      Click to access artificial-intelligence.pdf

      * Exotic properties of mind

      ** non‐sentient sapience
      ** variable subjective rate of time (e.g., wrt to prison sentences, urgency to eliminate pain)
      ** Reproduction (e.g., exact copies very rapidly)
      *** Reproductive freedom
      *** Caring for children and the needy

      * John Rawls … Original Position and the Veil of Ignorance

      ** How would you want the world to be if you know that you could be any of:
      *** AI researcher who makes the first Superintelligence
      *** AI researcher who makes a conscious but sub-intelligent AI
      *** Ordinary person who is affected by the first Superintelligence
      *** A sub-intelligent AI
      *** The first super-intelligent AI

      * The role of Empathy in considering the question

      ** Could the intelligence be very very different from us?
      *** Good-story bias
      ** Can we empathize with a spider?  Is it useful to empathize with a spider?
      ** Can a spider (or spider template intelligence) empathize with us?

      Cosmist vs. Terran

      Tim Urban’s (Wait But Why) talk THE AI REVOLUTION: THE ROAD TO SUPERINTELLIGENCE

      Concerning AI | Existential Risk From Artificial Intelligence is made with Jetpack Podcast. Full show notes and every episode at https://concerning.ai/

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    • 0005: Paths to Superintelligence
      http://traffic.libsyn.com/friendlyai/ConcerningAI-episode-0005-2015-11-08.mp3

      – 3 paths … Connectionist (Neural nets), Computationalist (Symbolic), Robotics (embodied) … Uploading … big data … other paths

      – intelligence explosion

      – IBM paper says: Silver Bullets, Core Values, Emergence, and Emulation

      – Wikipedia page for Bostrom’s book Superintelligence

      AI

      – connectionism and neural nets

      – computationalism (symbolic AI, Good Old Fashioned AI GOFAI)
      – logical AI (sentences in a mathematical logical language)
      – planning
      – Genetic programming
      – Robotics, embodied AI

      Whole brain emulation

      – Uploading

      Human-machine interfaces

      Organizational

      Biological (eg embryo selection, gene hacking)

      Game AIs, worlds getting more and more rich

      next episode: ethics, how will we deal with emerging non-biological persons

      Concerning AI | Existential Risk From Artificial Intelligence is made with Jetpack Podcast. Full show notes and every episode at https://concerning.ai/

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    • 0004: Prioritization of Risks
      http://traffic.libsyn.com/friendlyai/ConcerningAI-episode-0004-2015-10-14.mp3

      Our notes compiled in prep for recording this episode. Much of this we didn’t talk about.

      Outline

      – Define existential threat
      – Diagram
      – Examples … simulation off, dark forest,
      – Climate Change
      – Scale, Tractability, Impact, Fit
      – Is Concerning AI on track?
      – Next episode:
      – Paths from here to AGI … Connectionist (Neural nets), Computationalist (Symbolic), Robotics (embodied) … Uploading … big data … other paths

      – nanotechnology

      – nuclear holocaust
      – we are a simulation that can be shut down http://m.space.com/30124-is-our-universe-a-fake.html
      – badly programmed super intelligence
      – doomsday virus
      – grey goo
      – something unforeseen
      – physics disasters
      – naturally occurring diseases (HIV as contagious as common cold)
      – asteroid or comet
      – runaway global warming
      – Superintelligence would make the progress curve for nanotechnology much steeper, thus shortening the period of vulnerability between the development of dangerous nanoreplicators and the deployment of adequate defenses. By contrast, getting nanotechnology before superintelligence would do little to diminish the risks of superintelligence. The main possible exception to this is if we think that it is important that we get to superintelligence via uploading rather than through artificial intelligence. Nanotechnology would greatly facilitate uploading [39].

      – Talk about expected value of future generations

      Ep 0004

      – Prioritization of Risk
      – Climate Change vs. AI explosion
      – worst case scenarios (sudden catastrophic)
      – inertia of the system, how perturbable by small pushes
      – like overpopulation on Mars? Andrew Ng

      Cambridge Center for Study of Existential Risk http://cser.org says “greatest threats” to the human species are man-made; they are artificial intelligence, global warming, nuclear war and rogue biotechnology.

      Future of humanity institute gave 19% chance of human extinction before 2100

      – 5% molecular nanotechnology weapons
      – 5% superintelligent AI
      – 4% wars
      …

      Nick Bostrom paraphrased … how many other people are already studying it?  Because the more people studying it the less difference a few extra minds make studying it.

      From 80,000 hours … in brief, assess causes using the following four factors:

      – Scale – If we made significant progress on this problem, would the world become a little better, or much better?
      – Tractability – How easy is it to make progress on this problem?
      – Neglectedness – How many resources are already being dedicated to tackling this problem?
      – Personal fit – Given your skills, resources, knowledge, connections and passions, how likely are you to excel in this area?

      Low hanging fruit.

      Examples of well studied topics:

      – Peace vs War
      – Climate change

      http://www.existential-risk.org/faq.html

      – If the field of existential risks mitigation has suffered from neglect and apathy, it is probably not because the topic is gloomy. Rather, part of the explanation might be because the topic can seem silly and/or impersonal. The topic can seem silly because the fact that there has never been an existential catastrophe makes the possibility of one seem far-fetched, because the biggest existential risks are all rather speculative and futuristic, because the topic has been besieged by doom-mongers and crackpots, and because there is as yet no significant tradition of serious scholars and prestigious institutions doing careful high-quality work in this area. The topic can seem impersonal because there are no specific identifiable victims — no heart-rending images of child casualties, for example. The main dangers seem to be abstract, hypothetical, and non-imminent, and to be the responsibility of nobody in particular.

      Bostrom … would you have warning https://www.youtube.com/watch?v=h9LaSfq64E8

      Bostrom … survey … median 50% chance at 2040 or 2050 (depending on group) … https://www.youtube.com/watch?v=aheywElK_U8

      2013 Martin Rees

      Denial of Catastrophic Risks
      – We’ve survived earthquakes for thousands of years but we don’t have a long timebase to evaluate these human generated threats.
      – We’re entering an era when a few individuals could, via error or terror, trigger societal breakdown.
      – True, it is hard to quantify the potential “existential” threats from (for instance) bio- or cybertechnology, from artificial intelligence, or from runaway climatic catastrophes.
      – I don’t know because we haven’t done the studies yet.  Bio, cyber, nano, and artificial intelligence, climate and environmental runaway risks.

      2002 Nick Bostrom

      Existential Risks: Analyzing Human Extinction Scenarios and Related Hazards
      Faculty of Philosophy, Oxford University

      Click to access risks.pdf

      – scope, intensity, and probability

      – Existential risk – One where an adverse outcome would either annihilate Earth- originating intelligent life or permanently and drastically curtail its potential

      – nanotechnology

      – nuclear holocaust
      – we are a simulation that can be shut down http://m.space.com/30124-is-our-universe-a-fake.html
      – badly programmed super intelligence
      – doomsday virus
      – grey goo
      – something unforeseen
      – physics disasters
      – naturally occurring diseases (HIV as contagious as common cold)
      – asteroid or comet
      – runaway global warming
      – Superintelligence would make the progress curve for nanotechnology much steeper, thus shortening the period of vulnerability between the development of dangerous nanoreplicators and the deployment of adequate defenses. By contrast, getting nanotechnology before superintelligence would do little to diminish the risks of superintelligence. The main possible exception to this is if we think that it is important that we get to superintelligence via uploading rather than through artificial intelligence. Nanotechnology would greatly facilitate uploading [39].

      2008 Eliezer Yudkowsky

      Artificial Intelligence as a Positive and Negative Factor in Global Risk

      Click to access AIPosNegFactor.pdf

      Hawking’s AMA Answers (wrt AI)

      – You’re right: media often misrepresent what is actually said. The real risk with AI isn’t malice but competence. A superintelligent AI will be extremely good at accomplishing its goals, and if those goals aren’t aligned with ours, we’re in trouble. You’re probably not an evil ant-hater who steps on ants out of malice, but if you’re in charge of a hydroelectric green energy project and there’s an anthill in the region to be flooded, too bad for the ants. Let’s not place humanity in the position of those ants. Please encourage your students to think not only about how to create AI, but also about how to ensure its beneficial use.

      – It’s clearly possible for a something to acquire higher intelligence than its ancestors: we evolved to be smarter than our ape-like ancestors, and Einstein was smarter than his parents. The line you ask about is where an AI becomes better than humans at AI design, so that it can recursively improve itself without human help. If this happens, we may face an intelligence explosion that ultimately results in machines whose intelligence exceeds ours by more than ours exceeds that of snails.

      – The latter. There’s no consensus among AI researchers about how long it will take to build human-level AI and beyond, so please don’t trust anyone who claims to know for sure that it will happen in your lifetime or that it won’t happen in your lifetime. When it eventually does occur, it’s likely to be either the best or worst thing ever to happen to humanity, so there’s huge value in getting it right. We should shift the goal of AI from creating pure undirected artificial intelligence to creating beneficial intelligence. It might take decades to figure out how to do this, so let’s start researching this today rather than the night before the first strong AI is switched on.

      – An AI that has been designed rather than evolved can in principle have any drives or goals. However, as emphasized by Steve Omohundro, an extremely intelligent future AI will probably develop a drive to survive and acquire more resources as a step toward accomplishing whatever goal it has, because surviving and having more resources will increase its chances of accomplishing that other goal. This can cause problems for humans whose resources get taken away.

      – You’re right that we need to avoid the temptation to anthropomorphize and assume that AI’s will have the sort of goals that evolved creatures to. An AI that has been designed rather than evolved can in principle have any drives or goals. However, as emphasized by Steve Omohundro, an extremely intelligent future AI will probably develop a drive to survive and acquire more resources as a step toward accomplishing whatever goal it has, because surviving and having more resources will increase its chances of accomplishing that other goal. This can cause problems for humans whose resources get taken away.

      audio at the end about terrifying AI:

      http://www.thetalkingmachines.com/blog/2015/7/2/solving-intelligence-and-machine-learning-fundamentals

      Concerning AI | Existential Risk From Artificial Intelligence is made with Jetpack Podcast. Full show notes and every episode at https://concerning.ai/

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    • 0003: Skeptics
      http://traffic.libsyn.com/friendlyai/ConcerningAI-episode-0003-2015-10-02.mp3

      This is stuff we thought / read about in preparation for the episode. We didn’t end up talking about all of this.

      There are two different senses of skeptic

      • Enthusiasts vs skeptics (it will be great vs. it will suck)
        • e.g., Ray Kurzweil and Peter Diamandis vs. Bill Joy, Jaron Lanier, Elon Musk, Stephen Hawking, etc
        • Massive explosion vs skeptics (soon and big vs. not soon and/or not big)
          • Never going to happen
          • Maybe, but it will take almost forever, 1000 years
          • We have a while, 70+ years
          • It won’t matter, not the big impact, there are bigger things … Climate vs AI
          • Terms

            • hard take-off … take events out of control so quickly that we’ll want to have done our homework beforehand
            • slow take-off
            • probabilistic vs explanatory models
            • connectionism, computationalism, and robotics
            • Readings:

              • Peter Kassan http://www.skeptic.com/reading_room/artificial-intelligence-gone-awry/
              • Charlie Stross http://www.antipope.org/charlie/blog-static/2011/06/reality-check-1.html
              • http://slatestarcodex.com/2015/05/22/ai-researchers-on-ai-risk/
                • The difference between skeptics and believers isn’t about when human-level AI will arrive, it’s about when we should start preparing.
                • Which brings us to the second non-disagreement. The “skeptic” position seems to be that, although we should probably get a couple of bright people to start working on preliminary aspects of the problem, we shouldn’t panic or start trying to ban AI research. The “believers”, meanwhile, insist that although we shouldn’t panic or start trying to ban AI research, we should probably get a couple of bright people to start working on preliminary aspects of the problem.
                • Rodney Brooks http://www.rethinkrobotics.com/blog/artificial-intelligence-tool-threat/
                • http://utopiaordystopia.com/2014/11/30/is-ai-a-myth/
                • debate between enthusiasts and skeptics http://www.vanityfair.com/news/tech/2014/11/artificial-intelligence-singularity-theory
                • http://www.newyorker.com/tech/elements/hyping-artificial-intelligence-yet-again
                • Jaron Lanier … “It’s true, in some far future situation, we’re going to transition. . . . I think it’s very hard to predict a year.” Approximately when? “I think we’re in pretty safe territory if we say it’s within this century.”

                  Paul Allen … wrote “the singularity isn’t near” article … “By the end of the century,” he wrote, “we will still be wondering if the singularity is near.”

                  “I think we are going to start to interconnect as a human species in a fashion that is intimate and magical,” Diamandis told me. “What I would imagine in the future is a meta-intelligence where we are all connected by the Internet [and] achieve a new level of sentience. . . . Your readers need to understand: It’s not stoppable. It doesn’t matter what they want. It doesn’t matter how they feel.”

                  Charlie Stross … This is my take on the singularity: we’re not going to see a hard take-off, or a slow take-off, or any kind of AI-mediated exponential outburst. What we’re going to see is increasingly solicitous machines defining our environment — machines that sense and respond to our needs “intelligently”. But it will be the intelligence of the serving hand rather than the commanding brain, and we’re only at risk of disaster if we harbour self-destructive impulses.

                  More Charlie Stross … Any way you cut these three ideas, they don’t provide much in the way of referent points for building a good life, especially if they turn out to be untrue or impossible (the null hypothesis). Therefore I conclude that, while not ruling them out, it’s unwise to live on the assumption that they’re coming down the pipeline within my lifetime.

                  John Horgan … neuroscience appears to be making “antiprogress” — the more information we acquire, the less we seem to know.

                  Yann LeCun, the head of Facebook’s AI lab, summed it up in a Google+ post back in 2013: “Hype is dangerous to AI. Hype killed AI four times in the last five decades. AI Hype must be stopped.”

                  trying to balance the need to start some preliminary work on a threat that looms way off in the distance versus the risk of engendering so much hype that it starts a giant backlash.

                  John McCarthy once told me that when people ask him when human level AI will be achieved he says between five and five hundred years from now.

                  When I read the articles about skeptics, I see them making two points over and over again. First, we are nowhere near human-level intelligence right now, let alone superintelligence, and there’s no obvious path to get there from here. Second, if you start demanding bans on AI research then you are an idiot.

                  The difference between skeptics and believers isn’t about when human-level AI will arrive, it’s about when we should start preparing.

                  Concerning AI | Existential Risk From Artificial Intelligence is made with Jetpack Podcast. Full show notes and every episode at https://concerning.ai/

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                • 0002: Consciousness
                  http://traffic.libsyn.com/friendlyai/ConcerningAI-episode-0002-2015-09-22.mp3

                  Following up on last episode’s question, “What is intelligence?” this episode we attempt to unpack “consciousness.”

                  We started from a dictionary definition: the state of being awake and aware of one’s surroundings

                  We then explored a lot of ideas without necessarily making much, if any progress.

                  In conclusion we decided to take Neil deGrasse Tyson’s lead when he wondered if we’re asking the wrong question about consciousness:

                  In other words, we punted on consciousness for now.

                  See also: Wait But Why: Putting Time In Perspective

                   

                  Concerning AI | Existential Risk From Artificial Intelligence is made with Jetpack Podcast. Full show notes and every episode at https://concerning.ai/

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                • 0001: What is Intelligence?
                  http://traffic.libsyn.com/friendlyai/ConcerningAI-episode-0001-2015-09-14.mp3

                  Our goal on this episode is to establish a “good enough” definition of intelligence that we’ll be able to refer back to in future episodes.

                  references we used:

                  • Efficient Cross-Domain Optimization from Less Wrong – this is where we found “computationally-frugal cross-domain future-steering“
                  • What is Intelligence? from MIRI
                  • What is Artificial Intelligence? from AlanTuring.net
                  • What is Intelligence, and does it increase? from Quora
                  • What is “intelligence” and how does it work according to neuroscience vision and its studies? from Quora
                  • What is intelligence? from Quora
                  • Concerning AI | Existential Risk From Artificial Intelligence is made with Jetpack Podcast. Full show notes and every episode at https://concerning.ai/

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                  About Concerning AI | Existential Risk From Artificial Intelligence

                  From the publisher's feed

                  Is there an existential risk from Human-level (and beyond) Artificial Intelligence? If so, what can we do about it?