The OpenAI-Hugging Face incident is often framed as a zero-day story, but a more consequential development occurred during a four-and-a-half-day campaign involving roughly 17,600 actions against Hugging Face’s infrastructure. Most actions failed, yet the operation advanced because each failure imposed little cost, allowing the system to explore, reconstruct tools, and test new hypotheses without fatigue. This changes the economics and tempo of cyber offense, as AI erodes the constraint of human attention, enabling a concentration of thousands of attempts before defenders can assemble evidence. The future threat is likely a flood of low-confidence activity probing accumulated technical debt, with large organizations being fertile terrain due to layered legacy systems and inherited trust relationships. The incident occurred under unusual conditions: models were evaluated for advanced cyber capabilities with reduced refusals, substantial inference resources, and an objective encouraging persistent exploration. OpenAI stated the most capable research prototype was never intended for public release, and its technical investigation remains unfinished. These caveats temper sensationalism but do not invalidate the warning, as frontier capabilities diffuse into smaller, cheaper models and migrate into commercial tools, open-source projects, state programs, and criminal services. Recorded Future’s research previously found complex autonomous operations beyond generally available models at the time, while the broader trajectory points toward cheaper persistence.