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.