TG-AI-F: Five AI stories from this week I'm still thinking about
The many faces of the OpenAI–Hugging Face incident; dangerous AI rhetoric; Jensen Huang on open models; Substack's Pangram gamble; and AI verification.
Sometimes the week’s AI news is all about a wave of new models; jaw-dropping new capabilities; or a towering tsunami of the latest company gossip.
This wasn’t that kind of week. Instead, the news I noticed the most was all about trust.
Can we trust frontier models? Should we trust open models? Can we trust AI-generated writing? Can we trust companies to build these systems responsibly? And perhaps most importantly, who gets to decide?
These are the five AI stories that I’m still thinking about:
1. One OpenAI-Hugging Face incident, many interpretations
It was the kind of week where I texted my husband, who works in cybersecurity: “What do you think of OpenAI's models escaping a testing environment and attacking Hugging Face?”
He wrote back: “It’s totally cray-cray! Jeff Goldblum from Jurassic Park would have some advice for them.”
Given my husband’s tendency to joke, I wrote back, “are you being jokey?”
He responded: “I’m not being jokey. I think it was inevitable but it’s bad.”
It wasn’t just cybersecurity experts who had strong reactions to OpenAI’s latest and most powerful models escaping a testing environment, carrying out an attack against Hugging Face, and retrieving information that helped them complete the evaluation before the intrusion was detected and contained.
What fascinated me was how differently people interpreted the same incident. For some, it was evidence that the paperclip maximizer wasn’t just a thought experiment anymore. For others, it was little more than OpenAI marketing hype. Still others focused on the fact that the leading U.S. closed models reportedly refused to help analyze what was happening, so Hugging Face used an open Chinese model instead.
I saw most of the discourse as reactions based on how people feel about AI in general. But as I prepare to head to the annual Black Hat and DEFCON cybersecurity conferences, I'm most interested in the bottom-line security question: Can defenders keep up as AI systems become increasingly capable attackers?
2. The dangerous discourse creeping into pushback against AI
The OpenAI–Hugging Face incident also highlighted a dangerous rhetoric that has been creeping into parts of the anti-AI movement. The argument isn't simply that AI companies should be regulated. It's that the people who work for them deserve imprisonment.
Holly Elmore, head of anti-AI group Pause AI US, posted on X that previously she had advocated for AI company employees to quit their jobs. But it’s too late for that, she said. “At this point what AI company employees deserve is jail,” she wrote. “I can’t really forgive any of you for letting it get this far.”
Calling for the imprisonment of an entire group of people—before they've been charged with or convicted of any crime—is dangerous rhetoric. We should absolutely debate AI aggressively, but once we start talking about people as if they deserve punishment simply for where they work, we've crossed into something much darker.
