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Jack Clark, Jakub Pachocki join AI 'intelligence explosion' warning

Jack Clark, Jakub Pachocki join AI 'intelligence explosion' warning

3 Key Points

  1. What happened

    Anthropic's Jack Clark and OpenAI's Jakub Pachocki joined Geoffrey Hinton and Yoshua Bengio in a Sept. 28 paper urging preparation for an "intelligence explosion," proposing limits on AI capability growth, outside auditors inside labs, and ways to stop risky experiments.

  2. Why it matters

    The participation of Clark and Pachocki points to a growing shared concern inside competing labs, though the paper says its authors' views do not necessarily represent their organizations.

  3. What to watch

    Anthropic reported that AI completed 26% of its internal AI research and development work in August 2026 under human supervision, up from 1% in March. Watch whether evaluator access commitments from Anthropic's Dario Amodei and OpenAI's Sam Altman translate into enforceable limits.

WHO IT HITSFor staff inside AI labs, embedded oversight could bring scrutiny to training and internal research practices before a model reaches users. For policymakers, the paper's proposed reporting on automation and progress could help show when extra checks are warranted.

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Context & Analysis

The paper arrives amid signs that safety discussions between labs are already underway. Bloomberg reported on Sept. 15 that OpenAI policy chief Chris Lehane said discussions with Anthropic and Google DeepMind had been running for several weeks, and the paper itself proposes controls such as capability limits and embedded auditors.

Anthropic's number helps show what is at stake. AI completed 26% of its internal AI research and development work in August 2026 under human supervision, up from 1% in March, according to GovAI's summary. The authors also estimate that under full automation, continued research gains, and no additional bottlenecks, progress could accelerate roughly tenfold within 1.5 years — meaning a year of today's progress would take about five weeks.

The value of the proposed oversight hinges on how it is implemented. For embedded evaluators, the key questions are when they begin work, what they can inspect, and how redaction rules affect their ability to publish troubling findings — details the body leaves open. Meanwhile, the U.S. and China agreed Sept. 26 to establish an AI incident communication channel and hold a dialogue in November, even as Trump rejected slowing U.S. AI efforts, leaving a gap between Washington's position and the calls for restraint from inside AI labs.

FAQ
What does the paper propose?
It proposes limits on how fast AI capabilities advance, outside auditors working inside labs, and ways to stop risky research experiments.
How fast could AI progress accelerate?
The authors estimate progress could accelerate roughly tenfold within 1.5 years of full automation, under conditions of continued research gains and no additional bottlenecks. A year of today's AI progress would then take about five weeks.
Who has committed to evaluator access?
Anthropic's Dario Amodei committed on Sept. 12 to bringing in evaluators with substantial internal access and rights to publish findings, subject to specified redactions. TechCrunch reported that OpenAI's Sam Altman committed to matching evaluator access.
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