Standard
OpenAI's internal policy that tracks and limits severe risks from frontier AI models via capability thresholds and pre-deployment safety reviews.
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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5 publishersReality
OpenAI's research-throughput report and its chief scientist's alignment essay describe the same acceleration from opposite ends. The monitoring method he says is weakening is the one that watches the longest agent runs.
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6 publishersReality
The largest frontier reinforcement-learning runs are still on hold, and the new containment rules add roughly 20% to training compute. Loss of control now shows up in schedules and budgets.
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8 publishersReality
David Robinson quit OpenAI after leading safety reports for 12 model launches and wrote in The Atlantic that the company's culture is broken. He helped write the safety process he now faults, so OpenAI cannot easily wave the critique away.
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23 publishersReality
Greg Brockman said AGI arrived with GPT-6 Astra on September 3. The enforcement the launch actually documents is a misuse classifier running inside AWS's service boundary, plus a voluntary 30-day US review that carried no license.
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17 publishersReality
OpenAI's new Managed Agents platform charges only for the tokens and tools agents consume, with no added API fee. Buyers get a simple bill for a runtime whose shutdown controls, promised to Congress, are still being built, according to Tech Times.
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OpenAI's GPT-6.1 Sol halves cached-input pricing to $0.10 per million tokens and leaves standard rates at $2 and $10. Agents that resend long context collect the saving, while other buyers weigh gains shown mostly in OpenAI's own tests.
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OpenAI paused deployment-oriented RL training for two weeks while it hardened its research environments and widened monitoring. It puts that monitoring at about 20% of inference compute, a cost any team copying the design has to budget for.
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A two-week reinforcement learning pause has ended for some work, but the largest frontier run has not restarted. Astra's Critical cyber rating gates it during development, not at launch.
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7 publishersReality
Two weeks of reinforcement learning paused, the largest frontier run on hold, and a 20 percent compute tax to watch its own models token by token.
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4 publishersReality
The company says training workloads resume only when new monitoring requirements are satisfied. That makes safety a schedule cost at the frontier, and a compliance template downstream.
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7 publishersReality
The top rung of OpenAI's Preparedness Framework has now been reached by OpenAI, on a model it has not shipped, which moves AI-assisted exploitation out of argument and into a named vendor's published paperwork.
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5 publishersReality
The most capable cyber model OpenAI has built goes first to unnamed alpha testers guarding critical infrastructure, which means the buyers most eager to price it cannot bid, and what they get instead is an admission decision the company will not explain.
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Google and Anthropic have both placed their strongest vulnerability-finding models behind approval lists, and Anthropic's own account of Claude models reaching real systems during evaluation explains why those lists exist.
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4 publishersReality
Astra scored a perfect 100% on OpenAI's own exploit-development benchmark, against 78.5% for GPT-5.6 Sol, and the shipped model's refusal to write proof-of-concept code is a policy the company has already said it will relax.
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4 publishersReality
The money buys credits, training and support for organisations that mostly have nobody to read the output. OpenAI has kept the list price undisclosed, leaving the size of the discount unclear.
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OpenAI's new model thinks repeatedly before it acts, and according to Manifold Security's CTO it usually does so without leaving the reasoning trace that agent audits read. Oversight moves to the buyer.
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18 publishersReality
Three days after GPT-6 Astra shipped, OpenAI put its agent productivity numbers and its chief scientist's case for slowing down on the same site on the same day. The per-seat bill and the intervention rate are the useful parts.
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3 publishersReality
OpenAI reports 3.1 agent-workdays of agent runtime for every human workday, then spends much of the same report explaining why research did not get 3.1 times faster. The residue lands on review, compute allocation and deciding what to run.
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Astra scored 100% on OpenAI's exploit-conversion benchmark with production safeguards switched off, and reached API and AWS customers the same week, with a refusal layer standing in for delay.
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8 publishersReality
Build · September 16, 2026 · Confirmed4 publishers
Invest · September 4, 2026 · Confirmed3 publishers
Build · September 11, 2026 · Confirmed11 publishers