The first white-collar job that AI can actually replace is the one that built the AI. Now coding is conversational. One dev is pleading his chatbot: “Pushing code that fails pytest is unacceptable and embarrassing.” (Clive Thompson, New York Times)

Before you download a 35 GB model and watch your laptop give up: CanIRun.ai is a reality check for the local-AI-curious. Yes, there are options for an M2 with 8 GB RAM. Llama 3.1 8B is a “tight fit”, but Qwen 3.5 2B “runs great”.

Can you tell which passage was written by AI? This New York Times quiz is humbling either way. (Kevin Roose and Stuart A. Thompson)

Grammarly “cloned” Julia Angwin, Stephen King, and Neil deGrasse Tyson as AI editors, without asking. Angwin is now suing. The feature is gone, the apology is filed, and the AI Julia apparently gave bad advice. (Miles Klee, Wired)

34 projects, 24 contributors, 65 minutes: Hacks/Hackers held a vibe coding show & tell, and journalists shipped fact-checkers, salary surveys, power grid monitors, and a Discord clone.

An editor gets a promising pitch, starts googling, and finds a byline that exists everywhere and nowhere. A podcast episode about a scammer – and that some sources didn’t care about being faked. (Question Everything)

A young reader got so frustrated with the FT’s news product that she built her own using Claude Code. She’s paying for a subscription, she wants personalized news, and she couldn’t figure out how to get it. (Jodie Hopperton, INMA)

The information ecosystem has four new rules: production is cheap, machines are the audience, content is liquid, and intention beats attention. Shuwei Fang buries the current publishing model, and somehow ends up optimistic: journalism needs to stop protecting the article and start selling the process. (Reuters Institute)

tropes.md is a one-file blacklist of AI writing tells for your system prompt.

The vibe is Palantir cosplay: World Monitor by Elie Habib is a real-time “situational awareness” dashboard with threat feeds, geopolitical maps, and a three-stage AI classification pipeline. He calls it a “weekend hack.”

“Not ‘how do I get paid for my articles by AI’ but ‘how do I architect my knowledge so it can reach customers I’ve never had access to before'”: A three-layer AI monetization framework, with O’Reilly as proof of concept. (Florent Daudens, AI in the News)

BBC, FT, Guardian, Sky News, and The Telegraph are launching Spur, a coalition to set shared licensing standards for AI use of journalism. Not a collective licensing body, but wants to shape what pricing looks like. More publishers welcome. (Charlotte Tobitt, Press Gazette)

238k speeches: Guardian and UCL trained a non-generative ML model on 100 years of House of Commons debates. Both Labour and Conservative MPs are currently at or near their most hostile on immigration, driven by competition with Reform UK.

Which AI to use: Free users don’t get the good AI, and even if you pay, you have to pick thinking mode. Once you’ve done that, the model matters less than the harness. For newsrooms: curated archive retrieval, a system prompt encoding editorial voice, CMS integration, verification. (Ethan Mollick, One Useful Thing)

An Ars Technica story about an AI agent writing a hit piece on a human contained AI-fabricated quotes attributed to the human. The author was sick, rushing, and used ChatGPT. The article was pulled. (Emanuel Maiberg, 404 Media)