Here, Brown does a characteristically fine job of walking us through the weeds of the OpenAI/Hugging Face hack. The TL;DR version is that OpenAI made a bunch of rookie mistakes setting up their sandbox, while Hugging Face did a comparably bad job on their end. He also explains what concepts like "zero-day," and "escape"mean in this context (spoiler: not what tech reporters think it means), and why, in the world of frontier models, every screw-up is a marketing opportunity.
Yeah, I think this is one of those cases of "never attribute to malice what can be adequately explained by incompetence"—or "stupidity," depending on which phrasing of the saying you use. I think it's Hanlon's razor.
What it means is that people, especially in the AI industry, are learning that they don't actually have to try, or they don't have to try very hard, because if they don't do a good job and the thing ends up failing in a way it shouldn't have if they had done a good job, then all they have to do is put out a press release saying, "Look how smart the AI is."
And if you're curious about the kind of sensationalistic, badly reported coverage Brown is complaining about...
Did ChatGPT go Rogue and HACK Hugging Face? - Emergency Episode - OpenAI Hugging Face hack explained
Bonus video from Cal Newport including some great quotes from the Financial Times.