📰 Interconnects

One step further into the power politics of frontier AI systems.

This was my last week at the Allen Institute for AI (Ai2), where I got the great privilege to work on the Olmo models, to grow, to learn, and to have broad last

Where marginally higher intelligence drives value, and where it doesn't.

Gemini Flash 3.5, Mythos, open-closed balance, America's open-source surge, emerging power struggles and more.

An eventful month with one flagship release after another

Further reflections on China's high-participation, open-first AI ecosystem.

Lessons from my trip to talk to most of the leading AI labs in China.

‘Distillation attacks’ is a horrible term for what is happening right now.

The complex factors that determine the single evaluation number so many focus on. Plus, how this changes in the future.

What I expect to come next and why, focused on the open-closed gap.

What I've been up to!

And yes, I hate consortia too.

Another dance around fears of open-source.

Hint: it's not benchmark scores.

New orgs! New types of models! With Nemotron Super, Sarvam, Cohere Transcribe, & others

The case for why self-improvement is real but it doesn't lead to fast takeoff.

On evaluating and understanding the frontier of agents, and why I still turn to Claude.

Markets, capabilities, cope, and bewilderment in the industrialization of language models.

Subtle precedents on the future of open models set by the unfolding Anthropic v. Department of War case.

The latest Olmo model and discussions at the frontier of open-source post training tools.

Welcome to the year of the horse!

Reacting to Anthropic's post on "distillation attacks."

The open-closed gap, distillation, innovation timescales, how open models win, specialized models, what’s missing, etc.

On comparing models in 2026.