6 months to live for open models
The most serious test to date of open source AI’s viability is happening right now.
@interconnects
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The most serious test to date of open source AI’s viability is happening right now.
An assessment of the open ecosystem and the motivations behind releasing models
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.
It's a one-way door and we weren't ready for it.
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 lasting impacts.
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.
Another dance around fears of open-source.