25 articles · 3 videos
Reflections on AI's writing ability and how AI models get more capable.

After a few long years of finding time to document my lessons from training open models, my post-training book is done!

Musings on model alignment, what determines safety, and where we go from here.

Scaling our curation and measurement of the open ecosystem.

Capacity to train strong models is proliferating.

The global implications on the AI ecosystem.

The most serious test to date of open source AI’s viability is happening right now.

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

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

And yes, I hate consortia too.

Another dance around fears of open-source.

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

What I've been up to!

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

Hint: it's not benchmark scores.

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

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

It's a one-way door and we weren't ready for it.

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

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 lasting impacts.

A capability threshold I've been carefully monitoring.

This post was originally an op-ed co-authored with Kevin Xu of Interconnected for a general, non-technical audience.

About 3 years since I started writing weekly.

An assessment of the open ecosystem and the motivations behind releasing models

An eventful month with one flagship release after another


Reflections on AI's writing ability and how AI models get more capable.

After a few long years of finding time to document my lessons from training open models, my post-training book is done!

Musings on model alignment, what determines safety, and where we go from here.

Scaling our curation and measurement of the open ecosystem.

Capacity to train strong models is proliferating.

The global implications on the AI ecosystem.

The most serious test to date of open source AI’s viability is happening right now.

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

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

And yes, I hate consortia too.

Another dance around fears of open-source.

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

What I've been up to!

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

Hint: it's not benchmark scores.

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

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

It's a one-way door and we weren't ready for it.

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

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 lasting impacts.

A capability threshold I've been carefully monitoring.

This post was originally an op-ed co-authored with Kevin Xu of Interconnected for a general, non-technical audience.

About 3 years since I started writing weekly.

An assessment of the open ecosystem and the motivations behind releasing models

An eventful month with one flagship release after another