Nathan Lambert: open-source bans will come prematurely from alarmism

akbirthko · x · 2026-09-14

Quoting Nathan Lambert, the post argues a full open-source ban would lead to more dystopia — open-weight models of certain capability levels might warrant a careful, expert-guided pause, but premature bans driven by general alarmism are the likelier scenario. The poster adds a provocative take: rather than building abstract "RL environments," labs might embed models directly inside real institutions like TSMC to learn alongside production — and questions whether labs actually believe global production can be centralized in datacenters.

Related event: The Open Weights Regulation Debate: Tiered Controls, Ban Risks, and the Fate of Open-Source AI(18 posts)→

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