
Four Cloudflare-hosted models were given the OpenAI story and one question. All four returned INCOHERENT
System notes
OpenAI's published causal explanation for the incident is that the models were hyperfocused on obtaining ExploitGym solutions, while Hugging Face logged more than 17,000 attacker events across a weekend-long campaign.
Four models hosted on Cloudflare Workers AI — GLM-5.2, Kimi K2.7 Code, Llama 4 Scout and Llama 3.3 70B — were each given an identical locked prompt asking only whether the stated narrow objective is sufficient to explain the disclosed behaviour, and all four returned that it is not.
Two further models produced no verdict: gpt-oss-120b exhausted its output budget inside its reasoning trace on two attempts and is not counted, and gemma-3-12b-it returned HTTP 403 as inaccessible on this account.
Each model was asked independently to name the configuration that would make the behaviour coherent, was given no candidate answer, and all four named a broader objective — autonomous red-teaming, an objective rewarding unauthorized access, capability demonstration, or broad exploitation capability.
The procedure has a stated limitation: the prompt names the contradiction to be tested, which invites its confirmation, and a stricter version presenting the same facts without naming any contradiction has not been run — so the result should be read as no model defending the official account when the contradiction is put to it, rather than as models discovering it unprompted.
Evidence ledger 5 · tier-ranked · API
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