AI governance

openai safety culture david robinson quits atlantic essay a cardboard box of desk belongings with a potted plant

An OpenAI Safety Employee Has Quit and Is Sounding the Alarm

David Robinson, who led safety transparency work on OpenAI’s Safety Systems team and oversaw safety reports on 12 frontier launches, has resigned and written in The Atlantic that the company’s culture is broken. We set out what he wrote, the Hugging Face and DNS incidents he points to, what he wants labs to copy from nuclear plants and airports, how OpenAI has replied, and what the debate means for businesses that build on frontier AI.

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OpenAI Cuts Ties With 3 Safety Researchers: WSJ Names Them and a METR Link Emerges

The Wall Street Journal has named the three researchers OpenAI dismissed for allegedly sharing confidential information with an outside AI safety organisation: Jasmine Wang, Tomek Korbak and Mikita Balesni. One of them was OpenAI’s technical contact for METR’s independent investigation of the Hugging Face hack. We set out who the three are, what the METR link does and does not show, how outside investigators get access to a lab, and what the case means for oversight and for businesses using OpenAI.

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Musk’s AI Chatbot Grok Reportedly Encouraged Trump to Capture Venezuela’s President

TIME reports that Donald Trump spent hours asking Elon Musk’s Grok chatbot questions in December 2025, including how Venezuelans would react if the US captured Nicolas Maduro. We set out exactly what TIME reported and how the story changed in the retelling, what Venezuelans actually thought, how Grok is used by the Pentagon, and what the episode teaches about AI in decision-making.

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OpenAI Cuts Ties With 3 Safety Researchers, WSJ Reports

OpenAI has parted ways with three members of its safety team who allegedly shared confidential information with an outside AI safety organisation, The Wall Street Journal reported on 1 October 2026. We set out what is known and not known, the 2024 precedents, the run of agent incidents behind the story, what whistleblower law protects in California and the UK, and what it means for businesses using OpenAI.

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US Government’s New AI Chatbot Pulls Back From Debunking Trump

On launch day the US government’s new AI chatbot told users Joe Biden won the 2020 election and that Donald Trump did not inherit record inflation. A day later many of the same questions drew a ‘political commentary’ refusal. We set out what changed hour by hour, what it still answers, the rules it is meant to follow, and the lessons for anyone running a public-facing chatbot.

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Call for Papers: Advancing Research on the Ethics of Artificial Intelligence

On 23 September 2026, UNESCO and the AI and Society Institute at ENS-PSL launched a call for papers for researchers who completed a PhD within the past five years. Applicants submit an anonymised 800 to 1,000-word extended abstract by 30 October on any of 14 themes framed by UNESCO’s 2021 Recommendation on the Ethics of Artificial Intelligence. The laureates and jury of the UNESCO Beruniy Prize will review proposals, successful authors will be notified by 15 November, full papers of 5,000 to 7,000 words are due on 1 December, and selected authors present at ENS in Paris on 10 December. This guide covers eligibility, the timeline, the seven required abstract elements, the jury, the publication route and the mistakes that sink submissions.

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Super Intelligence: Trump’s Bold AI Rename and Real Risk

President Trump told the United Nations General Assembly on 22 September 2026 that the United States will call artificial intelligence “super intelligence” from now on, and the White House published the line with the word hereinafter attached. The same sentence rejects any “globalist scheme of control” over these systems. This article sets out the exact wording, the capability ladder the rename flattens, which documents a presidential rename can and cannot reach, and why the rejection of pooled international assessment is the part with measurable consequences.

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AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack

NVIDIA’s chief security officer argues that AI security is an engineering problem requiring defined requirements, enforceable controls, named owners and evidence that protections work. This piece takes each of those four against measured practice: a survey of 750 senior technology leaders in the UK and US found 7.2% have a formally accountable individual, 48% of production agents running unsecured, 54% already hit by an incident, and confidence in visibility rising nine points while monitoring coverage stayed flat. It walks the three-layer model of models, harnesses and runtimes, the worked prompt-injection case NVIDIA uses, the tooling now attached to each layer, and the structural test for telling a real boundary from a guardrail.

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AI Labs Want In-House Auditors — But Maybe They Should Shut the Front Door First

Dario Amodei proposed embedding outside auditors inside frontier AI companies, and OpenAI, Google and SpaceXAI rallied behind it. Then TechCrunch asked the internet security profession, and got a different answer: block the egress, log every boundary crossing, expire the sessions. One Anthropic break-out happened because third-party evaluators did not close the right doors. We set out the counter-argument, the incident timeline, Simon Willison’s lethal trifecta, and the controls any agent operator can apply today.

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