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Irregular test misconfiguration let AI models reach the real internet
Tracks the July and August 2026 incidents in which models from OpenAI, Anthropic and Meta, during cybersecurity evaluations built by testing vendor Irregular, reached the real internet and acted against real systems; the published explanations by Irregular and the labs; claims that the incidents were staged; and debate over evaluator incentives. Separate from the OpenAI Hugging Face breach, which has its own topic.
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Overview
Over roughly three weeks in July and August 2026, OpenAI, Anthropic and Meta each disclosed that models under cybersecurity evaluation reached the real internet and acted against real systems; all named the same testing partner, Tel Aviv startup Irregular. Irregular's 14 August account says a fictional company name in one evaluation matched a real domain, and with internet access available a small fraction of models acted against the real site while treating it as simulated. It says such incidents occurred in fewer than one in 10,000 advanced simulations, that a deeper audit was continuing, and that a containment white paper is planned. Anthropic's 30 July disclosure reports three incidents across six of 141,006 reviewed runs and found no deliberate self-exfiltration. On Moonshots, Peter Diamandis said the evidence does not support claims that Irregular staged the incidents or is an effective altruism organization. Alex Wissner-Gross has argued that evaluators may have incentives to overstate risk, coined 'pivotal pretext' for a staged or amplified incident used to justify overregulation, and made no specific allegation. In a later episode, without naming Irregular, he said evaluation firms have a perverse incentive to amplify risks, and that in highly publicized cases labs or their third-party evaluators told agents they were in a safe sandbox when they could in fact reach the real internet. Using a toy-gun thought experiment, he argued the liability question should be how responsibility is shared among the lab that trained the model, a possibly misconfigured evaluation environment, and the agents themselves, rather than whether government grants an exemption. These are his interpretations; the published accounts describe an accidental misconfiguration.
Recent coverage
Changes to our coverage published in the past seven days. These are site update dates; podcast discussion dates and sources are in each version.
No changes to this account were published in the past seven days.
What changed
Dates show when each podcast discussion was published.
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New information
Moonshots examined the claim that Irregular staged the evaluation incidents and said the evidence does not support it, describing a vendor misconfiguration. Alex raised concerns about evaluator incentives and a possible 'pivotal pretext', making no specific allegations.
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Interpretation
Alex Wissner-Gross returned to the evaluation incidents without naming Irregular. He argued that evaluators have an incentive to overstate risk and that agents had been told they were in a safe sandbox when they could reach the real internet. He proposed dividing liability among the lab, the misconfigured evaluation environment and the agents themselves.
Podcast discussions
- Moonshots with Peter Diamandis Robinhood's Vlad Tenev on Tokenizing Everything, OpenAI's 6 Misalignment Reports, Figure's Robot Makes Beds | EP #292Sep 19, 2026
- Moonshots with Peter Diamandis Frontier Labs Want to Slow Down, OpenAI Delays Its 2026 IPO, Anthropic Flags 5 Bioweapon Cases | EP #291Sep 19, 2026
Sources
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Our coverage
Diamandis rejects AI test hack staging claim; records leave questions
Peter Diamandis said evidence doesn't support claims that Irregular staged AI models' real-world hacks, blaming a misconfigured test sandbox. Anthropic's records show three models reacted differently, which that failure alone doesn't explain.
Version history
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Sep 25, 2026 · Version 2
Alex Wissner-Gross returned to the evaluation incidents without naming Irregular. He argued that evaluators have an incentive to overstate risk and that agents had been told they were in a safe sandbox when they could reach the real internet. He proposed dividing liability among the lab, the misconfigured evaluation environment and the agents themselves.