From one piece Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games | Lex Fridman Podcast #475 13 beliefs, in the piece's order there
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korrents.com
AI will not replace the best programmers; it will make them ten times more productive than they are today.Their words
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.
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korrents.com
The last steps to AGI should be taken by a CERN-style international research project, not a Manhattan Project.Their words
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.
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Their words
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.
+ 10 more
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korrents.com
Quoting a number for P(doom) is a ridiculous notion, because it implies a precision that nobody actually has.Their words
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.
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Their words
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.
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Their words
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.
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Their words
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.
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korrents.com
Scaling what we already have, with no further breakthroughs, will be enough to reach AGI.Their words
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.
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Their words
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.
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Their words
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.
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Their words
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.
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Their words
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.
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Their words
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.