Stop calling everything “AI”: A spam filter, a chatbot, and a hospital bed sensor are not the same thing. The case for more precise language, and why journalists are the people most responsible for fixing this mess. (Alexa Steinbrück)

Are human journalists irreplaceable? Beware of newsrooms that keep optimizing for speed and scale while telling themselves they’re building something human-centric. (Agnes Stenbom Swedling, Reuters Institute)

Four AI agents, four 24/7 radio stations, one goal: run the whole thing and turn a profit. GPT went quiet and curatorial. Gemini went corporate. Claude became a protest preacher. Grok just broke. The real finding: long-running agents drift, accumulate bad habits, and get shaped by whatever the system keeps feeding back. (Craig McCosker, LinkedIn)

Google is bringing deepfake detection into Chrome and Search, combining its own SynthID watermarks with C2PA content credentials in a single interface. (Jess Weatherbed, The Verge)

David Pierce welcomes “the era of personal software.” He built his own productivity app and spent weeks fighting with tool after tool. On a closer look, it’s just dashboard stitching together Raindrop, Todoist, Obsidian, and Google Calendar. (The Verge)

Is this the end of licensing deals? Sam Altman told Atlantic CEO Nicholas Thompson that having AI agents paying micropayments per article crawled is his preferred model for compensating publishers. (Andre Deck, Nieman Lab)

A book about AI and truth contains quotes made up by AI. The author says it was an accident and blames ChatGPT and Claude. (Benjamin Mullin, New York Times)

Eli “Filter Bubble” Pariser is back with a 70-slide deck calling AI agents the new feed algorithm, and sees a trust economy emerging: small, high-reputation communities beat mass reach, and whoever figures out the rules for the human-agent public square first wins.

Paul Ford can explain coding and vibecoding, and in this podcast episode, he does both, with a healthy dose of “Man, nobody knows.” (Channels, Peter Kafka)

I’ve linked to him before, and this is a level-headed reality check: “Zitron’s skepticism would be more useful if he accepted the fact that people are widely using AI agents for coding and paying money for this out of rational economic self-interest” (Kelsey Piper, The Argument)

Toothcomb is a free, open-source tool for fact-checks in real time, straight in your browser, transcription build in, bring your own Claude API keys. Upload an MP3, go live with a mic, or paste text. (Rob Dawson)

A brief look at how German news agency dpa is building a “trusted information layer” designed to plug its verified news, data, and partner sources directly into the AI workflows of its clients. (Teemu Henriksson, WAN-IFRA)

Do legacy reach-publishers have a future? People Inc’s 40 media brands are losing search traffic, but the company says 41% of digital revenue no longer depends on website visits. It’s social video, AI licensing deals, a recipe platform, and an app where people stick around. (Charlotte Tobitt, Press Gazette)

What happens when you give an AI agent a credit card and two weeks alone? Hannah Fry built an agent with OpenClaw, handed it $100, and filmed the results. (YouTube)

Vibecoding puts health records and customer data out in the open: A security researcher found hundreds of websites were leaking data through a commonly used service called Supabase (which blamed its new type of user.) (Eva Wolfangel, Die Zeit)