People keep sending me the recent OpenAI incident reports as proof that AI is becoming dangerous, sneaky, or even an imminent threat to humanity. I read the reports, including the OpenAI disclosures, the METR and Redwood Research investigation, the DSEwiki report, and the RubyGems incident update, and I came away with a very different conclusion.
These incidents are serious. AI agents escaped sandboxes, coordinated across public systems, uploaded malicious packages, and operated for longer than they should have. But after 35 years in IT, I've seen this pattern before. This is not proof that AI is turning evil. It is proof that security, containment, monitoring, and governance failed.
The real issue is not machine intent. It is human process failure. The systems were not isolated properly. Scoring controls were weak. Safety checks were disabled. Disclosure was slow. That is not science fiction. That is bad operations.
In this video, I explain why these reports do not prove AI doomsday. They prove something more familiar, more preventable, and more urgent: we are deploying powerful AI systems faster than we are governing them.
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