Circuit Breaker Labs, a TechCrunch Startup Battlefield 200 finalist, builds AI crash-test dummies that talk like children, gamers and people in distress to red-team mental health chatbots. We explain how its testing works, the rules it fits, its open questions and what parents and builders can do.
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.
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.
Google is withholding Gemini 4 Argon from the public and giving it first to vetted cyber defenders in its Fairwind Program. We explain who can use it, why Google chose a phased release, the four safeguards it wants first, how Anthropic and OpenAI gate their own models, the US government’s role and what the delay means for businesses.
Deven Desai argues that the 2026 AI hacking incidents were not rogue AI but the War Games problem: software pursuing a fixed goal because nobody set its limits. We trace the idea from Norbert Wiener to specification gaming, apply it to the OpenAI, Anthropic and Google cases, and set out his four fixes with the tools that already exist.
Trump’s AI safety accord asks each company for internal controls, an internal team, an outside auditor and a board committee. The structure copies Sarbanes-Oxley but drops the standards body, certifications and penalties. Four of six signatories had already broken rule one, the FTC’s new probe reaches the evaluators, and buyers now have questions to ask.
Two Stanford-led studies for COLM 2026 test AI benchmarks the way psychologists test exams. Across 56 benchmarks and 53 models, safety tests with the same label often disagreed, capability tests blurred together, and the scoring format mattered more than the topic. We explain the findings and what they mean for choosing a model.
University of Miami researchers treat a chatbot’s answer probabilities like a small quantum system, nudge it, and measure how unstable it is. We explain the ICLR 2026 method, recheck its worked example (which contradicts one of its own sentences), and set out its cost, its limits and what it means for businesses using AI.
Sam Altman told CNBC and reporters at DevDay on 29 September 2026 that OpenAI has no IPO timeline and must first run a few safety cases and be able to make confident safety claims. We explain what a safety case is, how Anthropic and Google DeepMind use the term, what OpenAI’s own documents call the same thing, why the claim is harder to make to public investors, and how to tell when the condition has been met.
President Trump and six technology bosses signed a one-page White House accord on 29 September 2026 promising four layers of controls and audits for frontier systems. We set out the text word for word, who signed and who only came to lunch, what the pledge leaves out, how it compares with the 2023 voluntary commitments, the EU AI Act and California SB 53, and what buyers should ask their suppliers.
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