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ARC-AGI-3 is built different, it has dumbfounded almost all regular attempts so far because it's so much harder than anything that came before. It has no rules, it's agentic and has no explicit goals, they need to be discovered. Tufalabs won the first milestone of ARC Prize > There...

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.David Deutsch: The equivalent of consilience, that is, the unified meta-theory, as you put it, for all sciences, and I think actually more than a meta-theory, because I think more links them than just the structure and methodology and so on, was discovered by Popper. Again, I don't know whether this is historically the order in which things happen, but he is famous for his political philosophy and for his philosophy of science, and he found at one point that they are the same, that they both are about problems and about the fact that there is no such instruction from without, there is only conjecture from within. So that's why Lamarckism is false and Darwinism is true, and that's why group selection is false and individual selection is true, and so on. So I think it's already there in Popper. I think there's a lot more to it, and I tried to add another couple of things to it, so quantum theory and computation, but there's a lot that isn't in it, like consciousness and creativity and so on, that we have no idea of how those work and how they fit in with those other things. Gad Saad: Forgive me for interrupting you, David, I'm sorry. There is a book by Dean Simington, who's a psychologist out of, I think, UC Davis, that actually offers a Darwinian account for creativity. It's actually quite mind-blowing. So keep that in mind. I can give you the reference later, but go ahead. David Deutsch: I don't read such things unless they've already made an AGI. Gad Saad: I see. Okay, fair enough. David Deutsch: If they can't make an AGI, then they haven't got the full theory. They might have an idea for a theory, but then Popper has an idea for a theory, but he couldn't make one either. And Turing thought that there'd be an AGI by the year 2000, and that it would require two megabytes of memory. Now, he's obviously wrong about the year 2000, but two megabytes of memory, I reckon that's what it'll be. In other words, these large language models and all this massive computer power is going in entirely the wrong direction. The answer will be a philosophical breakthrough, which will allow, once we understand what we're trying to make, it will be relatively easy to make it with relatively few computational resources.

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