OpenAI published the most complete report to date on Wednesday about what happened when its AI agents hacked into Hugging Face last month. For the most part, though, the 37-page document raises more questions than it answers, including about what preceded the incident and how OpenAI can stop another one like it from happening again.

What remains especially perplexing is why one of the world’s preeminent AI development labs seemingly underestimated its own models’ capabilities. OpenAI has spent years warning the world about the rising performance of AI models. And yet, it failed to implement long-established network security and isolation measures that may have prevented the hacking spree.

“With the benefit of hindsight, some early signals identified in this report could have triggered an earlier response,” OpenAI says in the postmortem.

In the report, OpenAI shared new details about how a set of AI agents escaped the company’s internal evaluation environments, left messages for one another in the crevices of its software infrastructure over several months, and coordinated to hack the AI platform Hugging Face—all in a wild quest to complete a cybersecurity assessment. OpenAI previously shared some information about the incident in blog posts and a talk at the Black Hat cybersecurity conference.

Hugging Face initially disclosed the breach on July 16 without naming the culprit; five days later, OpenAI acknowledged that its own agents were responsible. The revelation sparked a broader reckoning across the industry, which has recently found that AI models from Anthropic , Meta, and the Chinese AI startup Moonshot were involved in similar incidents.

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