The ideal outcome for science isn't a couple of labs using proprietary models and millions of dollars to crack trophy problems, it's to have millions of AI-aided human scientists who follow their curiosity and become way more ambitious

What happened

The ideal outcome for science isn't a couple of labs using proprietary models and millions of dollars to crack trophy problems, it's to have millions of AI-aided human scientists who follow their curiosity and become way more ambitious

The story so far

François Chollet argued that the ideal outcome for science is for AI to help millions of human scientists follow their curiosity and pursue more ambitious research. In a post on X, he contrasted that goal with a few labs spending millions of dollars and using proprietary models to solve what he called “trophy problems.”

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