Abstract: Over the last half decade, the capabilities of large language models (LLMs) have leapt from preschooler to undergraduate and beyond. This talk reviews recent progress in teaching LLMs to do science and reasoning, and speculates as to what it will mean for the future of theoretical physics if these trends continue.

Adam is a theoretical physicist who has researched topics including the big bang, inflation, the multiverse, black holes, quantum computation, space elevators, bubbles of nothing, and the long term future of the universe, as well as the relationship between theoretical physics and computer science. He works at Google and has a visiting appointment at Stanford University.