Nathan Lambert bets on AI efficiency over breakthroughs for wider diffusion
Overview
Nathan Lambert says he is more convinced that AI efficiency gains will drive wider diffusion than that model breakthroughs will eliminate known LLM weaknesses.
In a post on X, he adds that he has spent a few hours reflecting on recursive self-improvement (RSI) after a productive week in San Francisco.
The post is a stated personal view. It does not include data, a specific model, or a named efficiency result.
Written by AI from the articles below · updated Oct 9, 6:07 PM ET
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Nathan Lambert@natolambertXNathan Lambert bets more on AI efficiency than on breakthroughsAINathan Lambert says he is more convinced that AI efficiency gains will drive wider diffusion than that model breakthroughs will eliminate known LLM weaknesses. He adds that he has been spending a few hours reflecting on recursive self-improvement (RSI) after a productive week in San Francisco.

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