980: AI Making Theoretical Physics Breakthroughs

Falha ao colocar no Carrinho.

Tente novamente mais tarde

Falha ao adicionar à Lista de Desejos.

Tente novamente mais tarde

Falha ao remover da Lista de Desejos

Tente novamente mais tarde

Falha ao adicionar à Biblioteca

Tente outra vez

Falha ao seguir podcast

Tente outra vez

Falha ao parar de seguir podcast

Tente outra vez

980: AI Making Theoretical Physics Breakthroughs

Ouça grátis

Ver detalhes do programa

Sobre este título

A team of theoretical physicists from Harvard, Cambridge, the Institute for Advanced Study, and Vanderbilt used OpenAI’s models not just as a tool, but as a collaborator, cracking a problem in particle physics that had stymied them for months. In this Five-Minute Friday, Jon Krohn walks through how GPT-5.2 Pro simplified a 32-variable mathematical expression into a single line, proposed what it called the “obvious generalization” for any number of gluons, and how a more powerful internal model then produced a formal proof after 12 hours of autonomous reasoning. Find out why this may be a template for AI-assisted scientific discovery and what it means for the future of research. Additional materials:⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/980⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

Ainda não há avaliações