this is quite interesting, and I share the intuition that superhuman math is likely. I think go and other board games are indeed a good analogy, and we could see takeoff from self-play
even if super it relies on formalization and doesn't directly generalize to other fields, I still wonder if superhuman math wouldn't have bigger real consequences than Ryan thinks. Here is some speculation:
AI research
we still don't have a complete mathematical theory for why deep learning works. A superhuman AI in math could help human experts develop a "theory of deep learning," which could allow us to move from brute-force experimentation to principled design of deep networks
this is quite interesting, and I share the intuition that superhuman math is likely. I think go and other board games are indeed a good analogy, and we could see takeoff from self-play
even if super it relies on formalization and doesn't directly generalize to other fields, I still wonder if superhuman math wouldn't have bigger real consequences than Ryan thinks. Here is some speculation:
- AI research
- we still don't have a complete mathematical theory for why deep learning works. A superhuman AI in math could help human experts develop a "theory of deep learning," which could allow us to move from brute-force experimentation to principled design of deep networks
- Our networks are still absurdly
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