Open models may accelerate the frontier while reducing innovation’s financial upside
teortaxesTex · x · 2026-07-21
The author argues that whether open models are accelerationist or decelerationist depends on specific elasticities, margins, and the distance to the frontier.
They add that open releases can clearly help others catch up to the frontier, but may also reduce the financial returns from innovation. In that sense, open models could be decelerationist if one assumes a world of mandatory frontier-model openness.
The thread also pushes a testable prediction: GLM 5.5 probably will not count as a “real next round,” implying the debate is not just ideological but tied to what actually moves the frontier.
Related event: Dean Ball’s Kimi Assessment Fuels Debate on Open-Weight AI(6 posts)→
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