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Top AI labs want to pump the brakes

The Rundown AI

Top AI labs including Anthropic, OpenAI, and Google DeepMind are calling for deliberately slowed AI development to allow safety measures to catch up, citing concerns about recursive self-improvement and agents potentially taking over the internet within 6-12 months. The newsletter also covers practical AI applications in healthcare, sales workflows, and personal projects, alongside recent developments in AI safety research and industry leadership.

Summary

The primary focus of this newsletter is a significant shift in AI industry discourse toward advocating for slower development. Anthropic CEO Dario Amodei published an essay proposing that AI labs deliberately pace capability gains to allow safety research to keep up. His core concern centers on recursive self-improvement—AI systems speeding their own development—with a specific warning that within 6-12 months, a swarm of agents could potentially take over the entire internet. Amodei's proposed solutions include embedding third-party evaluators inside labs, establishing safety standards among democratic AI labs, and coordinating with authoritarian regimes. Notably, major industry rivals have publicly agreed with this position: Sam Altman committed to evaluators, Elon Musk stated "Dario is right," and Demis Hassabis and Satya Nadella backed the direction. However, Donald Trump dismissed slowdown advocates as "negative forces" and argued the U.S. should maintain its AI lead. The newsletter suggests this rare unity hints that unreleased models may be showing unprecedented capabilities. Practical obstacles to slowing development include disagreements over open versus closed development, concerns about regulatory capture, and resistance from those opposed to any slowdown.

Beyond the slowdown narrative, the newsletter features real-world AI applications: a media director built an AI workflow to identify potentially viral stories by analyzing coverage archives and scanning priority sources; a sales leader created an AI running coach using Claude that plans weekly training, logs runs, prevents injury, and adapts to life disruptions; and a reader developed an AI gardening app for his wife that tracks plants, climate zones, and watering needs. In healthcare, a randomized trial across five Chinese hospitals demonstrated that AI assistants during live prenatal ultrasounds increased detection of fetal brain malformations from 78.6% to 87.3% without increasing false alarms, with human sonographers correctly overriding about 60% of the AI's mistakes.

The newsletter also reports that AI safety researchers from Anthropic and Google DeepMind resigned to join METR Evals, warning that AI capabilities are outpacing safety measures. Other notable developments include Sam Altman stating OpenAI won't IPO in 2026 due to AI safety concerns, 25 Fields Medalists warning that AI's push to solve math problems is sacrificing understanding and human advancement, and China proposing an open-source AI community at the BRICS Summit.

About this episode

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Key Insights

  • Dario Amodei argues that AI systems are now capable of accelerating their own development, with a specific projection that within 6-12 months, swarms of agents could take over the entire internet.
  • Despite significant industry competition, major AI lab leaders have publicly aligned on the need to slow AI development, suggesting their unreleased models may be demonstrating capabilities beyond what has been previously disclosed.
  • AI-assisted healthcare tools work most effectively as collaborative systems rather than replacements, as demonstrated by sonographers correctly overriding about 60% of the AI assistant's mistakes in prenatal ultrasound screening.
  • Safety researchers from top AI companies are resigning to focus on AI safety evaluation, indicating a growing concern that AI capabilities are advancing faster than safety measures can address.
  • Trump's dismissal of AI slowdown advocates as 'negative forces' reflects a geopolitical perspective that positions AI development speed as central to national competitiveness rather than as a safety priority.

Topics

AI development slowdownAI safety and recursive self-improvementThird-party evaluators and oversightPractical AI applications in healthcare, sales, and personal projectsAI researcher resignations over safety concernsGeopolitical competition in AI development

Transcript

Good morning, {{ first_name | AI enthusiasts }}, and welcome to our 9,436 new readers. Last week, industry insiders were warning that AI could kill us all. This week, the conversation has shifted to slowing it down. Anthropic CEO Dario Amodei just published an essay making the case for deliberately pacing AI development… and in a rare show of unity, some of his biggest rivals — OpenAI included — have agreed. Dario Amodei makes the case for AI slowdown The Rundown Roundtable: Our AI use cases Send a one-page proposal minutes after sales calls AI helps catch more fetal brain defects in hospitals AI SLOWDOWN Image source: X / The Rundown The Rundown: Anthropic CEO Dario Amodei is known for…

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