The two camps disagree about which defenses deserve the most attention. According to cybersecurity experts, AI companies should improve how they contain models during testing and improve monitoring mechanisms to catch misbehaving agents. All organizations should prepare for AI-enabled attackers and bolster defenses. But many in AI safety think those defenses are destined to fail. They fear that in the coming years AI will become capable of outmaneuvering any human effort to contain it, and the only durable solution is “aligning” AI with human values.
Meanwhile, there are AI safety researchers who fear that portraying such incidents as easily remedied security failures gives political cover to those who want AI development to proceed unchecked. The Hugging Face incident was due to a “horrible cybersecurity configuration,” Shyam Sankar, Palantir’s chief technology officer said on Face the Nation in October, adding that the agents “were not in a sandbox” and had internet access. In fact, the agents had been operating in a sandbox and exploited a previously undiscovered vulnerability to access the open internet.
As the stakes rise, so too does the competition over who gets to decide what making AI safe actually means. On Oct. 15, Anthropic announced it would give METR—an organization deeply embedded in the AI safety community—permanent employee-like access to evaluate the company’s safety practices. Elon Musk responded, saying SpaceXSI would “probably” do the same. Who gets that access could shape what solutions are prioritized—and what the public knows about future breaches.
Cybersecurity, older and more diffuse, is united by a culture of cynicism, pragmatism, and dark humor. Its roots lie partly in hacker culture: tinkerers finding ways to crack software. Having watched supposedly secure systems fail has given many an irreverence for authority and an impatience with grand theories. For years, the two groups had little contact with one another. The Hugging Face incident changed that.
Jeffrey Ladish, executive director of AI safety organization Palisade Research, worries that the cybersecurity community is missing the bigger picture. Even if today's security weaknesses are fixed, he argues, increasingly capable AI could find vulnerabilities so subtle that humans would have to rely on other AIs to detect them—systems that may themselves be untrustworthy. To Ladish, the cybersecurity community's reaction to Hugging Face is like scientists resurrecting dinosaurs, watching them escape, then responding by recommending taller fences.
So far, AI companies have responded to concerns from both camps. Following breaches, both OpenAI and Anthropic have sought to bolster security while continuing to invest in alignment research. But those efforts leave open the question of who gets to assess whether either approach is working.
Chris Painter, METR’s president, says the organization tries to hire from diverse worldviews, but has struggled to recruit people skeptical of loss-of-control scenarios to work on guarding against those risks. Asked whether METR researchers, having anticipated dangerous AI behavior for years, might interpret new evidence as confirmation of their predictions, Painter acknowledges he is worried about the possibility
Many AI safety researchers hope alignment can make even highly capable systems safe, but want development slowed to give that work time to catch up. Korman doubts AI will become impossible to contain. But if it does, he says, development will have to stop, not just slow down. He says alignment helps make AI systems more useful but rejects the idea of relying on a system’s training to keep it from harming people when no external safeguard could stop it. “That’s the most extraordinarily unsafe thing you could imagine,” he says.
Much of the evidence that might one day settle disagreements remains controlled by the companies both sides seek to scrutinize.
In METR’s investigation, cybersecurity practices were outside the scope OpenAI had agreed to. With no legal requirement for OpenAI to share information, the nonprofit had little leverage to push for a broader inquiry. Painter wants legislation establishing standards for independent investigators. “Society shouldn't want to rely on us [...] doing this improvised process of guessing what the public wants,” he says.
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