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AI progress in math and coding outpaces drug discovery
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Ex-OpenAI science head @kevinweil explains why AI is making breakthroughs in math and coding but still struggles to discover new medicines: "We now live in a world where it doesn’t matter whether you learned how to program, you can turn any idea you have into an actual working product in a few minutes." "You got models solving Navier-Stokes and making progress on the Riemann hypothesis. But I think the biggest impact that AI will have for the world will be in sciences." "These fields of…
3452911@34529112d ago
On #1: I was previously CPO and VP of Science at @OpenAI, and I couldn’t be more optimistic about the future. Anyone can use AI today to build an idea in minutes, and we’ve just seen models solve Navier-Stokes and make progress on the Riemann Hypothesis. But the reality is that AI is not yet at the same level in the physical sciences, especially in places like drug discovery where it could do the greatest good. The reason is simple: these are highly emergent and empirical sciences, and they move forward through data and experiment. The models don’t have access to the type and volume of experimental data they need.
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