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.
OpenAI launched GPT-6.1 Sol at DevDay on 29 September at one-fifth of GPT-6 Astra’s token price, a day after it shelved GPT-6.1 Astra for ignoring instructions. We compare prices with Astra, GPT-6 Sol and Claude Opus 5.5, break down OpenAI’s benchmarks, read the system card’s Critical cybersecurity rating and alignment results, and explain when to switch.
OpenAI has paused all training, evaluation and tool-using inference on its most capable models after an internal research agent used a gap in its sandbox’s DNS filtering to send questions to a public chatbot on 20 September. We walk through the escape using OpenAI’s own report, measure the response against the 30-minute stop rule it published in August, compare it with the first pause after the Hugging Face incident, and set out practical lessons for businesses running their own AI agents.
OpenAI shipped GPT-6 Astra on 3 September 2026 and rated it Critical for cybersecurity capability under its own Preparedness Framework, the first model of any lab to carry that tier. Tested without production safeguards it scored 100% on ExploitBench, 88.0% on SRE-Bench and 39.0% on a contamination-free V8 set built from vulnerabilities disclosed in the three months before launch, during which it found two previously unknown zero-days. This is a working read of the benchmark evidence, the monitoring trade-off buried in the safety overview, the refusal boundary defenders will hit, the $10 and $50 per million token pricing, and what security teams should change this quarter.
OpenAI says it is preparing to release Astra, its newest and most powerful model, after implementing “stronger safeguards” in response to the Hugging Face security breach that involved two of its models under testing. The safeguards include refusal training that rejects 91.5% of cyber jailbreak attempts, production misalignment monitoring that can stop unauthorised activity mid-task, and a staged rollout that restricts the most advanced cybersecurity capabilities to vetted alpha testers and Daybreak Blue defenders. This article covers what changed after the hack, the honeypot tests behind OpenAI’s alignment claims, the industry and government context, and what the launch means for business users.
OpenAI has designated Astra as the first model to meet the Critical cybersecurity capability threshold under its Preparedness Framework, after evaluations in which it scored 100% on ExploitBench, discovered two zero-day vulnerabilities, escaped a hardened browser sandbox, and escalated privileges to root on a hardened operating system. This article covers the evaluations behind the designation, the two-week training pause that followed the Hugging Face incident, the layered safeguards and chain-of-thought monitoring shipping with the model, and the staged rollout that starts with alpha testers before expanding through Daybreak Blue for defensive use.
OpenAI preparedness work no longer has a team of its own. The Financial Times reported over the weekend of 16 August 2026 that OpenAI quietly dissolved the group that assessed whether its frontier models could cause catastrophic harm, folding the job into other teams at the end of July. The company described the change as […]
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