[AINews] Open Models, Model Labs vs Agent Labs, and What's Untrainable — Sarah Guo

This episode discusses the growing landscape of open-source AI models, contrasts the approaches and philosophies of Model Labs versus Agent Labs in AI development, and explores fundamental limitations in what can be trained or achieved through current machine learning techniques. The discussion likely covers recent developments in accessible AI model availability, different organizational strategies for building AI systems, and theoretical constraints on model capabilities.

Source: Latent Space | 2026-06-11