korrents

korrents · Lex Fridman Podcast · #475

Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games | Lex Fridman Podcast #475

Demis Hassabis · 2h 28m · youtube.com

20 korrents from this recording

1h2h
Demis Hassabis did not write this page.

Every claim below is a statement made in this recording, quoted word for word and linked to the second it was said, so you can hear it rather than take our word for it. The wording comes from the transcript published alongside the recording; the sentence above each quote is our reading of the claim, not their wording.

  1. 0:03:08 · watch on youtube.com

    And I think the reason that's possible is that in nature, natural systems have structure because they were subject to evolutionary processes that shape them. And if that's true, then you can maybe learn what that structure is.
  2. 3 min later
  3. 0:06:17 · watch on youtube.com

    And it sort of fits with the way I think about physics in general, which is that I think information is primary, information is the most sort of fundamental unit of the universe, more fundamental than energy and matter.
  4. 3 min later
  5. 0:08:53 · watch on youtube.com

    I think we've proven, and the AI community in general that classical systems, Turing machines can go a lot further than we previously thought. They can do things like model the structures of proteins and play go to better than world champion level. And a lot of people would've thought maybe 10, 20 years ago that was decades away, or maybe you would need some sort of quantum machines to quantum systems to be able to do things like protein folding. And so I think we haven't really even sort of scratched the surface yet of what classical systems so-called could do.
  6. 7 min later
  7. 0:15:25 · watch on youtube.com

    I think to the extent that it can predict the next frames in a coherent way, that is a form of understanding, not in the anthropomorphic version of, it's not some kind of deep philosophical understanding of what's going on, I don't think these systems have that, but they certainly have modeled enough of the dynamics, put it that way
  8. 3 min later
  9. 0:18:06 · watch on youtube.com

    But it seems like you can understand it through passive observation, which is pretty surprising to me. And again, I think hints at something underlying about the nature of reality in my opinion, beyond just the cool videos that it generates.
  10. 20 min later
  11. 0:38:03 · watch on youtube.com

    So picking the right question is the hardest part of science and making the right hypothesis. And that's what today's systems definitely they can't do. So I often say it's harder to come up with a conjecture, a really good conjecture than it is to solve it.
  12. 15 min later
  13. 0:52:33 · watch on youtube.com

    My estimate is sort of 50% chance by in the next five years, so by 2030 let's say. So I think there's a good chance that that could happen.
  14. 1 min later
  15. 0:53:28 · watch on youtube.com

    And maybe also make the system available to a few hundred of the world's top experts, the Terence Taos of each subject area and give them a month or two and see if they can find an obvious flaw in the system. And if they can't, then I think you can be pretty confident we have a fully general system.
  16. 7 min later
  17. 1:00:06 · watch on youtube.com

    I mean potentially that's possible. I would say I'm not sure it's even desirable because that's a kind of hard takeoff scenario.
  18. 4 min later
  19. 1:04:17 · watch on youtube.com

    And so we don't know, I would say it's kind of 50/50 whether new things are needed or whether the scaling the existing stuff is going to be enough.
  20. 1 min later
  21. 1:05:37 · watch on youtube.com

    Do you have enough data to make simulations, so that you can create more synthetic data that are from the right distribution? Obviously that's the key. So you need enough real-world data in order to be able to create those kinds of data generators, and I think that we're at that step at the moment.
  22. 4 min later
  23. 1:09:15 · watch on youtube.com

    I think fusion and solar are the two that I would bet on. Solar, I mean it's the fusion reactor in the sky of course, and I think really the problem there is batteries and transmission.
  24. 17 min later
  25. 1:26:13 · watch on youtube.com

    Shouldn't it be something more like Minority Report where you are sort of vibing with it in a kind of collaborative way? It seems very restricted today. I think we'll look back on today's interfaces and products and systems as quite archaic in maybe in just a couple of years.
  26. 14 min later
  27. 1:40:21 · watch on youtube.com

    And Meta right now are not at the frontier. Maybe they'll manage to get back on there and it's probably rational what they're doing from their perspective because they're behind and they need to do something. But I think there's more important things than just money.
  28. 3 min later
  29. 1:43:27 · watch on youtube.com

    So the great programmers will be even better, but there'll be even 10X even what they are today. And because there, you'll be able to use their skills to utilize the tools to the maximum, exploit them to the maximum.
  30. 2 min later
  31. 1:45:37 · watch on youtube.com

    And the thing that's going to be harder to deal with this time around is that I think what we're going to see is something like probably 10 times the impact the Industrial Revolution had, but 10 times faster as well. So instead of a 100 years, it takes 10 years and so that's going to make, it's like a 100X, the impact and the speed combined.
  32. 1 min later
  33. 1:46:31 · watch on youtube.com

    Including things like universal basic provision or something like that where a lot of the increased productivity gets shared out and distributed to society and maybe in the form of services and other things where if you want more than that, you still go and get some incredibly rare skills and things like that and make yourself unique. But there's a basic provision that is provided.
  34. 10 min later
  35. 1:56:27 · watch on youtube.com

    I hope we'll end up with something more collaborative if needed, more like a CERN project where it's research-focused and the best minds in the world come together to carefully complete the final steps and make sure it's responsibly done before deploying it to the world.
  36. 2 min later
  37. 1:58:14 · watch on youtube.com

    Well, look, I don't have a P-Doom number. The reason I don't is because I think it would imply a level of precision that is not there. So I don't know how people are getting their P-Doom numbers. I think it's a little bit of ridiculous notion because what I would say is it's definitely non-zero and it's probably non-negligible.
  38. 8 min later
  39. 2:06:26 · watch on youtube.com

    So my betting is that it's mostly it is just classical computing that's going on in the brain, which suggests that all the phenomena are modelable or mimicable by a classical computer.