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The Power of Self-Learning Systems



DeepMind

Demis Hassabis, Co-Founder & CEO, DeepMind
Talk at MIT + Center for Brains, Minds, & Machines | 2019

Abstract: Demis Hassabis will discuss the capabilities and power of self-learning systems. He will illustrate this with reference to some of DeepMind’s recent breakthroughs, including the AlphaZero, AlphaStar and AlphaFold systems, and talk about the implications of cutting-edge AI research for scientific and philosophical discovery.

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31 thoughts on “The Power of Self-Learning Systems
  1. I think the next challenge (though not necessarily useful for practical applications) is to even the playing field in the games. In chess it should only be able to look up a couple hundred games into the future like the humans, and in starcraft if you watch the whole broadcast as some people pointed out it had a higher maximum moves per minute than any human

  2. AGI + Lifi + 5G = paradise or paradigm. One thing is for certain, … you will no longer be able to hide in the dark.
    I guess i would feel better if it wasn't aimed at me

  3. Hello guys:-

    1) Will you be applying alphazero to 'Chines chess'? Are there any reasons why you didn't want to use Alphazero on Chinesechess but did want to use it for Shogi?

    2) Will you be trying to get Alpha Zero to play Magic the Gathering and Hearthstone?
    3) Will you be applying AlphaZero to 'no limit hold 'em' heads up?
    4) Why is it so much harder to deal with multiplayer games; surely Alphazero can just treat all opponents as 'one' entity with many heads (like a Hydra)?
    5) Why is it so much harder to deal with non-perfect information games?

    6) For Starcraft 2, you seem to imply that you picked 5 alpha zero's from all the ones that had been playing. Is there not a system for Alpha zero to 'self select' its own strategy for each game? Do we know why Alphazero get's obsessed with certain units and strategies?

    7) You guys could have a look at Twilight Struggle. It's considered the best board game designed of all time, it's incredibly deep, and doesn't have the number of cards that MtG has so mabye easier to deal with.

    EDIT: I get you want to move on from games a bit now, but there is still a huge amount of space for you to look at before you move on? Poker, mtg?

  4. I would be interested in seeing the AI learn to play a single player game like Skyrim, where the goal is not to win or be good at the game, but to explore and find joy in exploring the world and threading together stories. I think this type of game might be impossible to get an AI to truly "play" with current technology and even more difficult for us to quantify how well at "playing" it is doing. How would an AI express itself in a game about exploration and what would be interesting to it and what would it fixate on?

  5. Great talk, with a bit of personal disappointment to all neuroscientists, that Demis has missed its impact to understand Neuroscience. However, his last slide with Feynman saved at least the cognitive scientists!

  6. 42:25 Grand Strategy games like Stellaris(moded/unmoded) or perhaps even the old Master of Orion II have still a complexity i guess, not yet being matched. I remember how a Paradox developer told me on the forum it can't be done, would love to see anyone proof them wrong ^^.

  7. Suleyman is a sell out. He's at the Bilderberg meeting this year. Expect this puppet of the bankers to keep your health information private? Good luck.

  8. Its a little bit jarring to see Deepmind present Alphastar as such an overwhelming success given the fact that they hardly scratched the surface of the strategic aspects of the game. Unlike Chess and Go, Starcraft as an RTS involves a micromanagement aspect in which humans have to click hundreds of times a second to give orders to the units. Alphastar, as apparent from the available replays did not defeat humans by outplaying them stategically. Not by a long shot. It won almost all of the games (except perhaps 1), because of crazy micromanagement and crazy inhuman speed. I'm not even talking about the last match against Mana in which Alphastar lost in the most embarrassing way possible. There's still a lot to do in this area, what's the hurry to declare victory so soon?

  9. I disagree that big data is "the" problem. Rather it's missing data because e.g. you won't solve the remaining 18/43 structures if no one works in a lab crystallizing and doing X-ray of hitherto unknown proteins. Your ability to solve is dependent on an diminishing number of people doing the lab work. Just look at how many E.coli proteins still have unknown function (and I mean shown in the lab). There is the real bottleneck.

  10. Entrenen una IA para jugar World of Tanks de manera intuitiva. Este juego en especial es fácil y muy estratégico, estaría genial jugar contra una IA.

  11. Hello DeepMind Team. I have an idea for example Starcraft. What would happen if you let an AI with maybe 5 actions (executable commands) per second, play against an AI with 10 actions per second. And you do the 55% rule again. And let an new AI play always against the strongest. I Think in that way the AI will learn strong strategies.

  12. It's too bad most people don't care or understand the implications of AI or AGI. I'm so excited to be alive at this period of time to watch the internet and AI change the world.

  13. I guess the greater challenge for ai is to learn how to develop a new game from scratch and make it balanced rather than how to win those already developed games.
    Edit: i was thinking about creating a new game but it makes more sense if ai can study those already existant games plus let ai create a balanced and fun game from scratch, with little human interference.
    Maybe artificial intelligence beat humans even on terms of creating new games, thinking about making a better balanced moba, a treasure that will likely beat those lol and dota around there.

  14. Maybe Google's DeepMind AI would perform better if it had a humanoid robot body. It would be able to better interact with and better understand our 3 dimensional world compared to the 2 dimensional world that this AI is currently stuck in. Let it out and see and touch the world that it's in, and DeepMind will evolve, maybe sooner than you might assume.

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