AI Leaders Express Support for Slowing the Frontier

Theo Browne discusses public responses to Dario Amodei’s proposal for independent AI evaluators.

TBTheo Browne연사 · T3
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Theo - t3․gg
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2026년 9월 18일
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In this short clip, Theo Browne reads Sam Altman’s response to Dario Amodei’s proposal and notes Elon Musk’s support. Altman says OpenAI will also give independent evaluators employee-like access; Theo sees the statements as an opportunity for alignment. The clip reports commitments, not evidence that the proposed arrangements have already been implemented.

  1. 1A call to pace developmentAltman’s displayed response agrees with Amodei on pacing the frontier.
  2. 2Independent evaluatorsAltman says OpenAI will also provide employee-like access for outside evaluators.
  3. 3A moment of agreementTheo notes Musk’s response and urges people to use the opportunity for alignment.

핵심 정리

  1. Amodei calls for pacing frontier AI development and describes third-party evaluator access.
  2. Altman says OpenAI will also provide independent evaluators with employee-like access.
  3. Theo sees Musk’s supporting response as a rare opportunity for alignment.
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Responses to the proposal

Theo reads Altman’s statement and notes Musk’s response to Amodei’s proposal. He interprets the support as an opportunity to act.

Altman’s response to Amodei
슬라이드 1 / 2Altman’s response to AmodeiThe displayed post describes support for independent evaluators with employee-like access.
Musk’s response
슬라이드 2 / 2Musk’s responseThe displayed post expresses support for Amodei’s proposal.

Sam Altman says he agrees with Dario Amodei that frontier AI development needs to be paced, and that the topic has been discussed at OpenAI. In the statement shown, he calls independent evaluators with employee-like access a good idea and says OpenAI will do the same, with more details to come.

Elon Musk also responds in support of Amodei. I see this as a rare moment of alignment that we should take advantage of. These are public statements of support and intent; the clip does not show that the proposed evaluation arrangements are already in place.

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