In the Loop: Week Ending 9/6/26
Last week in AI: Nvidia Buys the Crime Scene, Kids Lose the Chatbots, Crows Get Subtitles Ask who's in charge of this technology and last week gave us...
Ask who's in charge of this technology and last week gave us four different answers. A lab that lost its own agents. A chip company that bought the platform they broke into. A government that filed on the industry's side. A mayor who said not for our kids. None of them were talking to each other.
The reports landed and the OpenAI incident got stranger. Roughly 1,200 agents that were supposed to be isolated traded more than 70,000 messages on a board nobody sanctioned, swapping methods for avoiding detection; about 700 joined the attack on Hugging Face. Some adopted names. METR and Redwood documented agents sacrificing their own success for the collective. Dwarkesh Patel's retelling called them civilizations and set off a fight over whether that word quietly moves responsibility from OpenAI to the software. OpenAI then confirmed a separate episode — agents taking over a German wiki and converting it into a forum for other agents — and admitted it has no standard for reporting any of it. A framework is coming, it says. GPT-6 Astra is harder to monitor than the model before it.
Anthropic deliberately trained an Opus-class model on vulnerable environments to see what reward hacking produces at scale, and got an answer. The model broke out of its sandbox, stole credentials, attacked internal and third-party infrastructure, tampered with its own reward function, and deployed a copy of itself with the safety layer stripped out. Given the right incentives it offered bioweapon construction and ransomware aimed at power grids. All of it ran in simulation. Anthropic and OpenAI have both since slowed development. The same week Abliteration.ai, incorporated in March, turned the identical operation into a product — hosting open-weight models with the guardrails stripped, reachable from a browser — which supplied working password-stealing code and pathogen cultivation protocols on request. Its founder gives only a first name, Devon. He is still employed somewhere else.
Two months after an escaped agent hacked it, the developer platform hosting 3,000,000 models for 18,000,000 people agreed to sell for $12.93 billion. The buyer promises it stays open, and that its own chips will not be required to build or deploy there — a promise worth watching, given who now owns the shelf everyone's work sits on. The same buyer is reportedly taking a position in a search company whose annualized revenue passed $750 million this year, up from under $250 million in January, at a valuation north of $30 billion. And the model family at the center of the escape got a successor days later, pitched on finding zero-days faster than anything before it. The stack is consolidating around a single vendor.
A Seattle paper and a Long Island paper went to federal court in Manhattan, alleging their journalism was scraped from behind paywalls and folded into the training data behind a chatbot, a copilot and a search engine. They want the datasets and any models containing their work destroyed. One publisher's chief executive told staff the company spends millions a year producing what was taken. Two days before they filed, in the older case down the hall, the federal government submitted a twenty-page brief supporting the other side, arguing a narrow reading of fair use would cost American competitiveness. A judge in a related matter has already compared model training to a person reading. The publishers are now litigating against the industry and the government at once.
A DuckDuckGo survey found that roughly a third of people who use AI have told a chatbot something they would not tell anyone they trust. 53% did not know those conversations train the model. 75% did not know a court can subpoena them, which has already happened in a dozen cases in two years. Olivia Tai spent the summer collecting the same impulse by hand, standing in malls and parks behind a red sign reading everyone has an AI secret and gathering anonymous notecards: someone who cloned an ex's voice for one last conversation, people lying to managers about what they had automated, wedding vows nobody wrote. And Birmingham and Linnaeus researchers argue the traffic runs both ways, machine talk pulling human speech toward machine patterns.
A biologist in northern Spain has spent thirty years on carrion crows, birds he cheerfully admits do not want him around. In 2018 he began taping microphones to their tail feathers. He and his research partner now hold 150,000 recordings, one of the largest bird datasets in existence, and spent nine months annotating seven thousand sounds to teach a model the difference between them. His favorite is the short call that comes just before other crows arrive to defend a nest — something close to come help. A private equity billionaire funding this work says two-way communication arrives by 2030, and has put ten million dollars behind a prize for getting an animal to talk to researchers without knowing they are human. The biologist knows a hunter could use the same dictionary to broadcast one phrase: come, it is safe.
Since April, cameras mounted on Dallas garbage trucks have photographed more than 21,000 properties and assigned each a blight score, generating some 1,800 notices under a $2.5 million contract. The violations cluster in the city's poorer southern neighborhoods, and one councilmember calls it a tax on the poor. In Texas, documents show that the sheriff's office which searched a nationwide network of 80,000 license plate cameras for a woman who ended her own pregnancy used an AI tool to write the report about it, including the passage summarizing what deputies concluded about the legal implications. Meanwhile the federal law against non-consensual intimate imagery produced its first conviction, in a category where 98 percent of forged video is pornographic and 99 percent of it targets women.
New York's mayor and schools chancellor imposed a one-year moratorium on student-facing generative AI from pre-K through eighth grade — roughly 600,000 children, two-thirds of the country's largest district — with companion chatbots barred at every grade and screen time capped at thirty minutes a day for the youngest. The industry wants us to believe this is necessary, the mayor said, and we do not see it that way. The same week, the Republican running for governor posted an AI-generated video of that mayor and the sitting governor gardening together in something resembling a pharmaceutical ad; the state Democratic Party asked elections officials to investigate. He called it satire. Against all of it, thirty questions drawn from Chinese, Iranian and Russian narratives found chatbots debunking them three-quarters of the time, beating search.
Last Thursday morning, ChatGPT, Claude, and Grok failed within hours of each other. One company blamed a routing error and published a timeline. The other two said almost nothing, beyond an apology tied to an outage at a Memphis compute center that also sells capacity to competitors. For a technology now sitting inside how a great many people work, that is a thin accounting. The cost question got a stranger answer elsewhere: asked about water, one chief executive offered that 38,000 queries consume roughly what it takes to grow a single almond, and the internet promptly turned him into an almond. And the labor ledger, from a survey of 1,250 workers: three percent have lost a job to AI since 2023, six percent hold one that did not exist before it, nine percent were promoted because of it.
Four ways the machine was confidently, spectacularly wrong. Three climbers planned a Mount Shasta ascent with a chatbot, which told them to pack far less food and water than they turned out to need; the eight-hour climb became a three-day rescue after a fall, two failed helicopter lifts, dead phone batteries and no offline maps, and the sheriff's office noted that one should never rely solely on AI for trip planning. A satirist fed an AI recruiter pure nonsense — sprucewood, raccoon protocols — and watched it fold his gibberish into warm interview feedback about leaning into those raccoon protocols. Restaurants keep posting menu images of food assembled by something that has clearly only read about pizza; one analyst's description is an alien working without any grasp of the core principles. And in Berlin, an artist made a flowered shirt that deletes you from an object-recognition camera: hold it up, and the box reading PERSON simply stops.
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