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A proposed frontier AI training pause using chips locked to specific models

A researcher says existing models could keep running at scale, limiting the immediate economic hit of a pause.

David Krueger 🦥 ⏸️ ⏹️ ⏪DK
8 Sources, 2h ago, first seen 2h ago

TLDR

A researcher shared a 210-page analysis of whether a durable pause on frontier AI training is feasible. They say it proposes hardwiring specific models into chips so the chips can only run those models, rather than dismantling the AI compute supply chain. They argue existing models could still be deployed at scale, limiting the immediate economic hit, but worry that unknown model capabilities and new ways of using models could leave risks.

Combined views

2.6K

8 Sources, first seen 2h ago

125 likes10 comments20 saves13 reposts

Combined views

2.6K

8 Sources, first seen 2h ago

125 likes10 comments20 saves13 reposts

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8 Sources

David Krueger 🦥 ⏸️ ⏹️ ⏪@DavidSKruegerI had an aha moment back in 2023 when I realized we could just get rid of all the compute driving the AI race. This is not like banning torrents or something -- AI chips and fabs are very, very, VERY specialized, and we basically know where they all are (or could find out).2h
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    8 Sources

    David Krueger 🦥 ⏸️ ⏹️ ⏪@DavidSKruegerI had an aha moment back in 2023 when I realized we could just get rid of all the compute driving the AI race. This is not like banning torrents or something -- AI chips and fabs are very, very, VERY specialized, and we basically know where they all are (or could find out).2h
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