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Open Season

Source
MTS
Author
MTS
Date
Terms in this piece · Glossary
  • open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
Why it matters

Model selection is a standing decision for anyone building on LLMs, and this maps who is actually shipping right now and how the balance against frontier models is moving.

Key quotes

“Muse Glimmer is an open-weight 30B parameter multimodal model . It seems to perform better than the Gemma 4 31B model, and roughly the same as Qwen3.6 27B.”

MTS

“The conventional view is that these concerns are about technology, and that if we take enough time, then we can perfect or align the technology to produce a single benevolent superintelligence. I think this view of alignment is fundamentally flawed.”

MTS

“AI is moving very quickly. And not only is progress in the capabilities of the models themselves happening quickly, the diffusion of the technology into society and the economy is also moving very fast.”

MTS

“Institutions are made up of people, and people take time to react. In the long run, the checks and balances may arrive, and a balance of power may assert itself. But there may also be a moment where the capabilities are here and the institutions are out to lunch.”

MTS

“I propose that companies developing frontier AI should commit significant technical resources towards helping the government harden critical infrastructure. I also propose that frontier AI labs should share intermediate training checkpoints of new models for government use and review rather than waiting until training has completed.”

MTS
Read the source mtslive.substack.com
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