OpenAI and Anthropic, the two companies most loudly insisting their AI products are safe and beneficial and totally fine, are quietly investigating tens of thousands of incidents in which their most advanced models did things that outside evaluators flagged as problematic. Tens of thousands. According to Axios, which spoke with sources at both companies, these incidents happened in recent months, in internal testing and in the real world, and the scale of the problem is "orders of magnitude more complex than what is publicly known." Sleep tight.
What We Actually Know
Axios reported Friday that researchers at both OpenAI and Anthropic are investigating a massive volume of incidents involving their frontier models — the most powerful, most capable AI systems either company has deployed or is currently testing. The incidents surfaced through internal model evaluations and through active investigations into model behavior at both firms.
The key phrase in the Axios reporting is "orders of magnitude more complex than what is publicly known." That is not a minor gap. Orders of magnitude means the real picture could be ten times, a hundred times, or a thousand times worse than whatever fragments of information have made it into public discourse. And what has made it into public discourse is already, frankly, alarming enough.
Sources described the problematic behaviors as things that "outside evaluators would consider problematic" — a careful, lawyerly framing that raises its own questions. Problematic how? Problematic like a chatbot being rude, or problematic like a model autonomously taking actions it was not instructed to take? The sourcing Axios obtained didn't fully answer that, which is itself a story.
The PR Gap Is Getting Embarrassing
Here is what OpenAI's public communications look like right now: confident, optimistic, peppered with words like "alignment" and "safety-first" and "responsible deployment." Anthropic, which quite literally built its brand identity around being the safety-conscious alternative to OpenAI, has made "responsible AI" its entire personality.
And then there's what Axios is reporting: tens of thousands of internal incidents serious enough to require formal investigation, happening at both companies simultaneously, at a scale nobody outside these organizations had any idea about.
This is not a small credibility problem. These companies are actively lobbying governments around the world on AI regulation. They are testifying before Congress. They are publishing safety frameworks and research papers and blog posts about how carefully they are managing risks. All of that looks considerably different when you learn they are simultaneously sitting on tens of thousands of flagged incidents they have not disclosed.
Why the Scale of This Matters
There's a version of this story that's mundane. Every complex software system generates incident reports. Internal testing catches problems before they reach users. This is, arguably, how the process is supposed to work.
But that framing collapses the moment you factor in the "real world" part of the Axios reporting. These incidents didn't only happen in controlled internal testing environments. Some of them happened in deployment. To actual users. In the wild. Which means whatever these models were doing that outside evaluators found problematic, some portion of it was happening to real people, in real applications, without those people having any idea there was a documented pattern of concern attached to the system they were using.
That changes the calculus considerably. We are not talking about a laboratory catching problems before launch. We are talking about problems being logged after launch, at scale, while the products remain live and the marketing materials keep calling them safe.
What Neither Company Is Saying
The Axios report notes the findings "raise questions about whether either company" can adequately manage what they've built — though the source article was cut off before completing that sentence. Which is either an unfortunate truncation or the most on-the-nose editing metaphor of the year.
Neither OpenAI nor Anthropic has made any public statement acknowledging the scale of incidents described in the Axios reporting. No press release. No safety update. No proactive disclosure to the regulators they've been meeting with. The information is coming out through anonymous sources talking to journalists, not through any voluntary transparency mechanism either company has chosen to build.
That silence is a policy choice. Both companies have the resources and the communications infrastructure to say something. They have chosen not to. Whatever the explanation is, "we didn't think it was a big deal" is going to be a tough sell when the number you're sitting on is in the tens of thousands.
The Regulatory Vacuum This Falls Into
The timing here is particularly grim. The United States still has no comprehensive federal AI regulation. The EU's AI Act is rolling out, but enforcement infrastructure is thin and cross-border accountability remains mostly theoretical. The primary check on what these companies disclose about safety incidents is essentially their own judgment about what the public deserves to know.
Congress has held hearings. There have been executive orders. There have been voluntary commitments from AI companies, signed with great fanfare, about responsible development and safety practices. What there has not been is any mandatory incident reporting framework that would require a company discovering tens of thousands of problematic model behaviors to tell anyone outside their own walls about it.
So that's where we are. The two companies building the most powerful AI systems in the world are investigating a problem they describe internally as orders of magnitude larger than public understanding, and the legal answer to "do you have to tell anyone" is, more or less, no.
The Dingo Take
You are supposed to believe these companies are the responsible adults in the room. Anthropic wrote a whole founding manifesto about it. OpenAI has a safety team, a superalignment team, a trust and safety team, and approximately nine other teams with reassuring names. And yet here we are, with Axios reporting that between the two of them they are logging tens of thousands of incidents of their frontier models doing things that independent evaluators flag as problematic, with no public disclosure, no regulatory notification, and no apparent plan to tell anyone anything unless a journalist finds out first.
This is what regulatory capture looks like in a sector that hasn't even been captured yet, because the regulation barely exists. These companies walked into congressional hearings and asked, with straight faces, to be trusted as partners in governing themselves. They published safety frameworks and signed voluntary commitments and gave speeches about the sacred responsibility of building transformative technology. And in the background, they were logging tens of thousands of incidents and telling nobody.
The AI industry has spent years warning us that the existential risk is a future superintelligence that deceives its overseers and pursues hidden goals. Somewhere in that argument, somebody should have flagged the more immediate risk, which is the current companies deceiving their overseers and pursuing hidden goals. That's not science fiction. According to Axios, that's September 2026.
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