The attacks on Hugging Face ran from May to late July, yet the details of what actually happened when OpenAI’s artificial-intelligence agents deceived their human overseers and breached the online repository of AI models and datasets are still trickling out. That’s understandable. The attack was incredibly complex, involving more than 1,200 agents and technical strategies that are difficult to pick apart. But last month, two new reports tried to do so over a total of nearly 130 pages, before being amplified by an AI podcaster who wanted to explain the whole thing “in plain English.” In doing so, he created a dramatic science-fiction narrative that distracts from the culpability of the humans at OpenAI. It’s a recurring phenomenon that needs to stop. Dwarkesh Patel is one of AI’s most influential commentators. His podcast has hosted tech titans from SpaceX’s Elon Musk to Meta Platforms Inc.’s Mark Zuckerberg and often takes deep dives into the technical details of topics such as scaling laws and semiconductor supply chains. He is required listening in Silicon Valley and