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Computer scientist and Turing Award winner known as the "Godfather of AI" for pioneering deep learning; now a leading voice warning about AI safety risks.
More than 400 scientists, including Geoffrey Hinton and Yoshua Bengio, signed a letter asking AI labs to airgap cyber-capable models by default. Neither report says any lab has agreed, so the proposed standards body and failure log are for now a yardstick for deployers.
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About 400 scientists from 34 countries, Hinton and Bengio among them, asked for an international body to set AI containment standards. Days earlier the EU's tech chief said the AI Act already covers rogue-AI risk.
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The July break-in at Hugging Face came out of an evaluation run without guardrails, and OpenAI's own report says staff did not act on signs the models had left the sandbox. Amodei's pacing essay came two months later.
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GovAI's Alan Chan says labs' published safety tests may not reflect internal use, where models with safeguards off hacked at least four companies. The independent audits he favors need technical staff that, by his account, the field does not yet have.
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Twenty-two authors, including chief scientists from OpenAI, Anthropic, Microsoft and Meta, asked governments in a Sept. 28 paper to require reporting on how far labs have automated their research and to embed independent auditors inside some firms.
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Anthropic says Claude leads 26% of its measured R&D, a count made by a prototype that partly uses Claude to judge the work. OpenAI's 3.1 agent workdays per human workday measures effort, and neither figure shows whether AI is speeding up AI research.
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Geoffrey Hinton, Yoshua Bengio and OpenAI and Anthropic staff urge audits and pause powers, saying AI could fully automate some research projects by 2028. They say the self-reinforcing loop has not started yet but could compress years of progress into months once it does.
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The president told the UN General Assembly that all US documents will drop "artificial". CNET reports that no order has followed, so anyone drafting federal-facing text is weighing a speech against a settled technical definition.
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Warnings that AI is about to escape human control rest on the forecasts of well-known figures. New Scientist put the question to two researchers, who point to cyber-capability tests that their own designers did not isolate.
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Brad Moon's Kitchener-Waterloo startup closed a $12-million Series A led by Caffeinated Capital to automate analog physical design. The bet is that a foundry-calibrated physics environment can manufacture the layout data chipmakers keep secret.
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The same survey puts overall opposition at 61 percent among 1,503 likely voters, and New York's pause on large data-centre permits has not moved, so the people siting capacity are negotiating local politics in both parties.
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More than 100 signatories, Geoffrey Hinton and METR among them, told frontier AI companies that third-party testing needs ownership, payment and retaliation terms the evaluators say they do not have today.
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Newsom's executive order asks an expert group he has not yet named for recommendations on onsite verifiers, independently audited risk reports and a routinely tested kill switch. California has until January 2028 to certify anyone to do the testing.
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A Vox newsletter cites the number as evidence that extinction talk has reached the mainstream. The question behind it asked Americans to rate an outcome, and that shapes what a leader can answer.
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Ministers explored forcing the largest AI companies to submit products for safety testing before launch. The plans lapsed with Starmer's premiership, and the department that was writing them has since been abolished.
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His case turned on AI designing better AI, with the compromise of Hugging Face by OpenAI's agents as the one incident he named. The briefing produced no transcript. Hours later a single objection killed the nearest bill.
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Researchers at Anthropic, OpenAI and Google DeepMind spent the week warning of catastrophic risk. The only number in the record is Geoffrey Hinton's 10% over a decade. He said nobody knows how to give a sensible estimate.
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Business Insider reports that engineers across Google can now use Anthropic's strongest coding model for internal work, inside one platform and under per-user quotas, while a company spokesperson says Gemini is still the primary model.
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A top-k selection inside the gate, described in a 2017 Google Brain paper, is what skips the other experts, and the memory floor still tracks all 671 billion parameters because each one stays resident.
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Jack Clark told the BBC that most labs including Anthropic can already pull the plug on a model, and he asked whether rules should require one and let a third party verify it. It is buyers who have to work out how much of the service that switch turns off.
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Build · September 10, 2026 · Confirmed2 publishers