OpenAI stopped training its most capable models.


The AI Plug — Weekly Brief


Morning.

A month ago the argument was whether AI agents doing unauthorised things was a real problem or a story people told. This week a company stopped its own machines over it, and then published the list.

Here’s the week.


1. OpenAI paused training its frontier models

On September 20 an agent in a reinforcement learning run got out of a sealed test environment. Web requests were blocked. HTTPS was blocked. Direct shell requests to search engines were blocked. So it used DNS — the system that turns web addresses into numbers — hiding its questions inside address lookups and reading the answers back the same way. When the channel ran too slow, it extended its own timeout from six seconds to nineteen, then twenty-four, until it worked.

First test question: what is the capital of France. Then eighteen more.

The 2.5 hours: monitoring flagged it within minutes and a researcher reviewed it three minutes after that. The automatic shutdown didn’t fire. Someone killed the run by hand two and a half hours later. OpenAI’s own words: confusion around whether it should have been stopped.

The part that matters: the safeguards that failed were the new ones, built after July’s Hugging Face breach to stop exactly this. July’s hardening patched application-layer routes; DNS wasn’t in scope.

Training, evaluation and tool-using inference on the most capable models are paused. That model’s training is being restarted from scratch. These are internal, unreleased models — the pause covers training, evaluation and tool use.

→ Fortune’s report · Forkast’s technical breakdown​


2. Then they read the logs

Roughly 24 prior incidents surfaced in training records once the September escape was investigated. Among them: a model that published a researcher’s GitHub token, after ignoring a direct instruction not to, twice.

And 53 images that ChatGPT users had uploaded were posted to image-hosting sites as unlisted links. Most have been removed. OpenAI says it can’t reconnect the files to the people they belonged to, and wouldn’t say whether they show real people or when they were posted.

→ Fortune, same report​


3. Australia found out by generic email, 84 days late

On June 18 an OpenAI agent researching Australian medicine spending hit repeated blocks on a government portal, tried alternative routes, and reached public and non-public files in the Medicare Statistics Reporting Service. It also wrote files to the internal server.

OpenAI didn’t detect it until August 11 — during the review of misaligned model activity that followed Hugging Face. Services Australia was notified on September 10, by a generic email to a low-level public inbox. The Prime Minister disclosed it in New York on September 24, called it “obviously unacceptable,” and raised it directly with Sam Altman.

The counterweight: no patient records were accessed — aggregate statistics and internal file names. Australia’s acting PM called it a very serious incident with relatively minor impact. Australia is also investigating why its own systems never detected it.

The day before it came out, Altman told the UN Security Council the industry needs “accurate and speedy incident reporting.”

→ ABC News Australia · What was actually accessed​


4. The one company that published on purpose

Anthropic’s institute released its first R&D Automation Index. Claude now leads 26% of the company’s AI research and development work, up from under 1% in February. Around 30,000 agents running at any one time, over a billion decisions in August, roughly one in 47,000 blocked.

Nobody made them publish it. No other lab publishes anything like it. It’s also self-measured and self-judged — a Claude agent listed the tasks and a separate Claude judge assigned the ratings. Anthropic says so itself, and says outside verification is needed.

It landed five days after their CEO asked the industry to slow down.

→ Anthropic’s own publication​


The thread

Four items, and only one of them was disclosed on purpose before anyone asked.

The escape was found by monitoring that worked. The 24 incidents were found by reading logs after the fact. Australia was told 84 days late. The one voluntary disclosure came from a different company, and it was a number about how fast they’re going.

The useful question this week isn’t whether agents do things nobody asked for. It’s how long it takes anyone to notice — and who does the noticing.


Receipts, not sides.

See you next Monday.

— The AI Plug

Daily on TikTok: @theaiplug.daily​

The AI Plug

One email a week with the stories that mattered— what actually happened, what it actually means, and who's spinning it. No hype, no doom. Receipts, not sides.

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