CP Violation and Fundamental Questions in Particle Physics
Claudio Manzari - University of California, Berkeley
Adam Brown - Stanford University
Brown, A. (2026). Artificial General Intelligence and the Future of Physics. Perimeter Institute. https://pirsa.org/26060044
Brown, Adam. Artificial General Intelligence and the Future of Physics. Perimeter Institute, Jun. 03, 2026, https://pirsa.org/26060044
@misc{ pirsa_PIRSA:26060044,
doi = {10.48660/26060044},
url = {https://pirsa.org/26060044},
author = {Brown, Adam},
keywords = {Other},
language = {en},
title = {Artificial General Intelligence and the Future of Physics},
publisher = {Perimeter Institute},
year = {2026},
month = {jun},
note = {PIRSA:26060044 see, \url{https://pirsa.org}}
}
Over the last half decade, the capabilities of large language models (LLMs) have leapt from preschooler to graduate student 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.
Claudio Manzari - University of California, Berkeley
Benoit Assi - University of Cincinnati
Stefanie Czischek - University of Ottawa
Junwu Huang - Perimeter Institute for Theoretical Physics
Junwu Huang - Perimeter Institute for Theoretical Physics
Stefanie Czischek - University of Ottawa