Transparency and (shifting) priority stacks

OpenAI's o3: Over-optimization is back and weirder than ever

OpenAI's GPT-4.1 and separating the API from ChatGPT

Llama 4: Did Meta just push the panic button?

RL backlog: OpenAI's many RLs, clarifying distillation, and latent reasoning

Gemini 2.5 Pro and Google's second chance with AI

Managing frontier model training organizations (or teams)

Gemma 3, OLMo 2 32B, and the growing potential of open-source AI

Interviewing Eugene Vinitsky on self-play for self-driving and what else people do with RL

Elicitation, the simplest way to understand post-training

Where inference-time scaling pushes the market for AI companies

GPT-4.5: "Not a frontier model"?

Character training: Understanding and crafting a language model's personality

Claude 3.7 thonks and what's next for inference-time scaling

Grok 3 and an accelerating AI roadmap

An unexpected RL Renaissance

Deep Research, information vs. insight, and the nature of science

Making the U.S. the home for open-source AI

Why reasoning models will generalize

Interviewing OLMo 2 leads: Open secrets of training language models