Our civilization has learned how to turn sand into silicon chips, silicon chips into neural networks, and neural networks into Artificial Intelligences (AIs). Over the last half decade, the capabilities of large language model AIs (like ChatGPT and Gemini) have leapt from babbling preschoolers to International Math Olympiad gold medallists, and now beyond. This talk reviews recent progress in training AIs to do science and reasoning, and speculates as to what it will mean for the future of physics if these trends continue.

The lecture will be followed by a discussion panel featuring leading artificial intelligence experts, offering multiple perspectives on the opportunities and challenges shaping AI today.