The AI Engineer newsletter + Top technical AI podcast. How leading labs build Agents, Models, Infra, & AI for Science. See https://latent.space/about for highlights from Greg Brockman, Andrej Karpathy, George Hotz, Simon Willison, Soumith Chintala et al!
Searches every transcript of this show and links you to the moments.
John Platt says many scientific problems can be recast as scorable tasks, where you want a piece of code that maximizes a score, and ERA works because the thing mutating that code is an AI with broad prior knowledge.
Diogo Almeida argues that the field collapsed onto one model shape — autoregressive, chat-tuned, human-facing — and that Jev is a different class of model whose intended consumer is code rather than a person.
Richard Socher describes the Eureka Machine as the last invention humanity needs: a superintelligence that takes any goal, environment and reward and invents toward it, especially in science.
