Training Sand to Think: Artificial General Intelligence & Future of Physics

[김형수(농학과24)]

Training Sand to Think: Artificial General Intelligence & Future of Physics

https://www.youtube.com/watch?v=Mw60FH5iflI

2026. 6. 5.

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 medalists, 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. About the Speaker Adam Brown leads Blueshift—a research team at Google DeepMind focused on advancing the scientific and reasoning capabilities of artificial intelligence—and is a core contributor to Gemini. Before Google, he studied physics and philosophy at Oxford, earned a PhD at Columbia, and subsequently held academic positions in the physics departments at Princeton and Stanford. There he taught Einstein’s general theory of relativity and conducted research on topics spanning the big bang, inflation, the multiverse, black holes, quantum computation, space elevators, bubbles of nothing, and the long-term fate of the universe, as well as the deep connections between physics and computer science. He joined Google in 2018. Stay in the loop: https://landing.perimeterinstitute.ca... Support science: https://perimeterinstitute.ca/info/do...