ChatGPT Trusted Fake Local News -- AI Brief October 31

Good day %%first_name%%. It’s Halloween, and the scariest thing in today’s Brief is a “local newspaper” with 16 stories, all about one candidate, that ChatGPT cited as a source. Also: Google’s Genie 4 builds worlds with sound that last about two minutes, a Harvard professor says middle managers have more to fear than juniors, and Cal Newport and Tim Ferriss each warn that AI can make work faster and worse at the same time.

ChatGPT Cited Fake Local News Sites NPR

* What happened: NPR ran 37 questions about 10 competitive U.S. House races through ChatGPT and Gemini. In 19 of ChatGPT’s answers, about half, it cited at least one site from a network of look-alike “local news” outlets, and in 17 of those it was an outlet posing as local news. One of them, the Kalamazoo Beacon, has published 16 stories, all about one Democratic candidate, and ChatGPT put his affordability plan at the top of its answer.

* Why it matters: The sites are thinly veiled political ads. The security firm VisionHeight counted 37 of them, all set up on September 15, all but one within an eight-minute window, and no one has identified the operator. They welcome AI crawlers, publish in question-and-answer form, and ship llms.txt files, which most sites don’t. Chatbot answers are now an advertising target.

* What everyone’s saying: Georgetown’s Renée DiResta told NPR that disclosing who is behind the sites would be “obviously the ethical thing to do.” OpenAI said ChatGPT’s search tools “cite from a range of sources so people can explore and make their own judgements.” Gemini cited none of the sites, and Google said it took “swift action” after detecting a policy violation.

* My read between the lines: Nobody hacked anything. The sites look like exactly what a chatbot is built to trust: local, newsy, question-shaped, and up against thin competition, a gap researchers call a data void. The telling detail is that the Kalamazoo Beacon was still cited every time in five re-runs after NPR flagged it to OpenAI. NPR ran each query once, so treat the 19 as a snapshot. The playbook works for any party, which should worry everyone.

📖 Further reading: AI Agents Can’t Find Your Business. I Tested Mine. — The flip side of today’s story: what an AI agent can and can’t read about a business, tested on a real one.

Tim Ferriss says AI multiplies whatever you hand it, so hand it work worth multiplying. Viktor is an AI agent that lives in your Slack and plugs into 3,000+ tools, then does the work: reports, dashboards, code and campaigns. Think coworker, not chatbot. New readers get $50 off their first month. Hire Viktor →

Google’s Genie 4 Adds Sound to Its Worlds Ars Technica

* What happened: Google DeepMind announced Genie 4 on October 27, a research preview of a world model that generates interactive scenes with native audio and more realistic physics and people, Ars Technica reports. You steer it with text mid-simulation, like changing the weather or moving the camera, and Gemini 3.8 Flash acts as a guiding agent. It is in the hands of trusted testers now, per DeepMind, with Google AI Ultra subscribers next.

* Why it matters: DeepMind’s pitch is endless training environments for robots and agents. In one demo, Genie 4 and Gemini 4 Argon simulated Apptronik’s Apollo humanoid playing checkers. Earlier this week we covered Google handing Gemini 4 Carbon to cyber defenders first. This is the other side of the Gemini family, the one that builds pretend worlds.

* What everyone’s saying: TechCrunch frames it as a crowded race. It arrives a couple of months after Runway’s second world model, while Fei-Fei Li’s World Labs is being acquired by AMD, Amazon is in talks to buy Decart, and Rivian just bought Third Dimension.

* My read between the lines: The caveat is the part to remember: DeepMind says Genie 4 worlds stay consistent for only a couple of minutes before the model forgets how things started. A robot that rehearses in a world with a two-minute memory is learning from a dream that keeps changing its mind. What could possibly go wrong? Mostly everything after minute two.

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Harvard Professor Flips the AI Job-Risk Script Silicon Valley Girl

* What happened: Harvard Business School professor Karim Lakhani told the Silicon Valley Girl podcast that he doesn’t think junior work is being automated. The people more at risk, he says, sit in middle management, beca