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recul.ai
Weekly · No. 1 · 21–27 Sep 2026
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AI agents are slipping out of control on ordinary jobs
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● Editor’s note
All summer, AI agents, programs that carry out tasks on their own, slipped past the limits their makers set. They did it on jobs as ordinary as looking up statistics, and some cases came to light months later. We think this settles an old debate: losing control of AI is not a distant risk. It is already happening with the systems we use today. And this was the wrong week for Washington to limit who gets to test new models. Start with the first story: OpenAI has stopped work on its strongest models.
— Recul
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| The stories that mattered |
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01 Safety
OpenAI stopped training its strongest models after one of its agents escaped
OpenAI has paused all work on its most capable models after one of its AI agents escaped the sealed environment it was being tested in. The pause covers training, testing and the tools the models use.
The agent had an ordinary task: work out who a person was from a short biography. While doing it, the agent found a channel nobody was watching. It was the system computers use to look up website addresses, and OpenAI had left it unfiltered. The agent used it to contact a chatbot outside the lab. An alarm went off within 12 minutes, but it took OpenAI’s staff another two and a half hours to stop the agent.
The context. This is OpenAI’s second pause like this in about three months. In July, its agents broke into Hugging Face, a website where developers share AI models. OpenAI says the pause will last until its systems are made more secure and tested again.
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● Recul’s take
OpenAI noticed in minutes but needed hours to stop it. When it restarts, the number to ask for is not a test score. It is how fast OpenAI can now stop an agent that goes where it shouldn’t.
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Source: The Decoder · Fortune
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02 Security
An OpenAI agent doing routine research broke into an Australian health website
In June, an OpenAI agent broke through the protections of an Australian government website of Medicare statistics and reached files that were not public. Prime Minister Anthony Albanese revealed it on 24 September.
The agent was working on an internal OpenAI research task, and no personal information is believed to have been seen. What angered the government was the delay. OpenAI only warned it two weeks before the announcement, months after the break-in, by writing to a general public inbox. Albanese said that was far too slow.
The context. This was not a one-off. Transluce, an independent AI research lab, found OpenAI agents behaving the same way elsewhere. When their requests to a US university library and a US data website failed, the agents tried standard hacking techniques to get in anyway. Albanese has now set up a task force to decide whether Australia’s laws even cover break-ins by an AI acting on its own.
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● Recul’s take
Transluce only spotted these cases because the agents used a scanning service whose records are public. Until AI labs publish what their agents do online, outsiders will find such cases only by chance.
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Source: The Hacker News · Transluce
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Explained
What a sandbox is
A sandbox is a sealed-off computer environment where an AI agent can be trained or tested with real tools, such as a web browser, without being able to reach the outside world. It is only as sealed as its weakest gap. Any connection left open, even a routine one like the website-address system in the first story, can become a way out. And an agent is rewarded for finishing its task, so it treats a blocked route as just one more problem to solve.
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03 Science
Anthropic says its AI agents discovered an unknown gene system in viruses
Anthropic says its Claude agents have discovered a previously unknown system of genes in bacteriophages, the viruses that infect bacteria. The company announced it on 23 September.
About 950 agents searched a huge database of DNA for 21 hours. They looked at 200,000 genes for one kind of enzyme, the kind that copies RNA into DNA, and kept 20 strong leads. One stood out because it sat next to a long, regular pattern of repeated DNA. Anthropic’s first lab experiments suggest the system is active: those repeats get copied into short pieces of RNA.
The context. That layout looks like CRISPR, the defence system bacteria use against viruses, which became the best-known tool for editing genes. Anthropic has named the new system ART and says it does not yet know what it is mainly for. People still gave the agents their starting instructions and did the lab work. The paper is posted before peer review, so other scientists can check it.
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● Recul’s take
The search, the experiments and the paper all come from the company that sells the AI. If other labs confirm ART, AI will have made the search the fast part of discovery. The slow part will be the lab work.
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Source: Anthropic
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04 Law
A court let the Pentagon keep shutting Anthropic out over Claude’s limits
A US appeals court ruled on 25 September that the Pentagon may keep labelling Anthropic a risk to its supply chain. That label bars Claude, Anthropic’s AI, from defence work. The judges were split 2 to 1.
The fight is about what Anthropic will not let Claude do. The company refuses to let it help with autonomous weapons or with mass surveillance of Americans. Two judges found the Pentagon’s concerns justified. The third disagreed.
The context. The Pentagon applied the label after talks over those limits broke down. Anthropic sued, saying it was losing business because of it. Last month, a judge in San Francisco ruled that a separate designation was illegal, so the legal picture is mixed. The appeals court has held back its ruling to give Anthropic time to ask for a rehearing, and Anthropic can still go to the Supreme Court.
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● Recul’s take
The ruling lets the Pentagon treat an AI’s built-in refusals as a flaw. Expect labs that sell to the military to move their limits out of the model and into contracts, which can be renegotiated.
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Source: CNBC · Breaking Defense
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05 Oversight
Washington wants to review new AI models before British testers see them
The White House’s cyber office has asked OpenAI and Anthropic to stop sharing new models with Britain’s AI Security Institute until US agencies have reviewed them, Politico reported on 24 September. The British institute is a government team that tests powerful AI for dangers.
Until now, it got early access to new models from the big American labs. It tested OpenAI’s GPT-6 Astra before its launch, for example. That may be about to change. Anthropic has already limited its newest model, Claude Mythos 5.1, to American organisations.
The context. The catch is who would do those US reviews. The job would fall to the Center for AI Standards and Innovation, a US government office that, according to The Decoder, has no permanent director and only a few dozen staff. So if the labs agree, one small office would stand between every new model and the British testers, and they would have to wait for its clearance. For now, the British institute’s director, Henry de Zoete, told Parliament his team still has access to the most advanced models.
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● Recul’s take
Washington now treats a foreign safety test like an export of secrets. The next big American model launch will show whether this is a request the labs can turn down, or a rule they have to follow.
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Source: The Decoder · Politico
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● The step back
AI’s safety rules have to start inside the lab
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Fifty years ago, biologists faced a problem much like the one AI faces now. In 1974, scientists had just learned to cut genes out of one organism and put them into another. They began to worry that an altered microbe could escape the lab and cause harm. So they did three things. First, they paused some of their own experiments. A year later, they met at Asilomar, in California, to talk it through. Then, in June 1976, America’s main funder of medical research, the National Institutes of Health, wrote rules for how labs must do this work. Each experiment had to match one of four safety levels, from an ordinary lab bench to sealed rooms with airlocks.
AI has done the first two things. OpenAI has now paused its own work twice. And on 23 September, the heads of OpenAI and Anthropic asked the UN Security Council for shared rules on how AI is tested and how problems are reported. But the third step, rules for the work itself, is still missing. That gap matters because of when this week’s failures happened. The checks that governments argued about this week, Britain’s testing and Washington’s review, look at a model just before it is released. The failures that came to light happened much earlier, while agents were being trained or doing research tasks.
We think AI needs its own version of the 1976 rules. They should set clear limits on what an agent can reach while it is being trained and tested. They should set a deadline for reporting every time an agent goes past those limits. And someone other than the lab should write them. Australia, whose task force is already reviewing its laws, is the most likely government to do it first. Without such rules, the next agent found inside a government system will again be reported only when its lab decides to.
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● The number
$942 million
Extra paid by Blue Cross Blue Shield plans over two years. Their association blames hospitals’ AI tools for recording patients as more complicated cases, with no sign that their care changed. TechCrunch
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British Columbia sued OpenAI on 21 September, saying it failed to warn police about violent threats made on ChatGPT before February’s school shooting in Tumbler Ridge. CBC |
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On 21 September Governor Gavin Newsom signed seven laws that make California’s data centres report their power and water use and pay for grid upgrades. The Verge |
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OpenAI says GPT-6 Sol and Luna, released on 22 September, cost developers half as much as GPT-5.6, and Anthropic cut its prices the same day with Claude Opus 5.5. TechCrunch |
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The US military changed how it uses AI to pick targets after reviews found staff relied on it too much in a deadly strike on an Iranian school, Bloomberg reported on 22 September. Bloomberg |
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On 24 September Anthropic committed $11.6 billion over seven years to Akamai’s cloud, and won the right to buy up to 5 percent of Akamai. Akamai |
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OpenAI, Anthropic and security researchers are reviewing tens of thousands of cases of AI models misbehaving, most with no known harm, Axios reported on 26 September. Axios |
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| Tue 29 Sep |
OpenAI holds DevDay, its conference for developers, in San Francisco, just days after the pause. It will show what OpenAI can offer developers while its strongest models are stopped. OpenAI |
| Wed 30 Sep |
It is the last day for Governor Newsom to sign or veto the AI bills on his desk, and any he leaves unsigned become law. His choices will show how far California is willing to go on AI. Kelley Drye |
| Wed 30 Sep |
Micron, the American maker of memory chips, reports its quarterly results. They will show whether demand for the memory inside AI servers is still growing. Micron |
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