Special Colloquium: Accelerating Scientific Discovery with AI

Large language models are rapidly becoming useful partners in scientific work: they can now reason through complex problems, carry out long computations, and even provide valuable insights. These emerging capabilities are beginning to compress the research loop from idea to verified result.

Dr. Alex Lupsasca, of Vanderbilt University and OpenAI, will give some examples of what frontier models can now do in practice, focusing in particular on a novel theoretical-physics result that was very recently obtained with the help of an internal OpenAI model.

Finally, Dr. Lupsasca will discuss the growing role of AI in scientific discovery, and what it could mean for the pace of science over the next few years.

Sponsored by the Black Hole Initiative and the Department of Physics