What was reading? Humans turn to AI, viewing text as fungible and blurring the line between primary and secondary sources (Joshua Rothman, New Yorker)
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Another fun one: Cloudflare CEO warns of AI-driven “existential threat” to publishers as search traffic dwindles amid bot-fueled content skimming. (Christine Wang, Axios)
People expect that AI will make news cheaper, more current, and easier to understand, one of the findings of the 2025 Digital News Report. (Nic Newman, Reuters Institute)
Not an easy time for dash fans: This Chrome plugin makes AI text feel more human by removing em-dashes (—) as you type or paste.
Yes to deals, payments, and control: Meredith Levien, CEO of The New York Times, talks about the Amazon-deal. She likes to think of Times journalism as “IP”, not “data”. (Adweek, soon on the Mixed Signals podcast from Semafor)
OpenAI is launching its own podcast where Sam Altman claims that coding with o3 gives people their next big “wow moment.” He suggests that while his AI won’t exactly cure cancer, it will make researchers more productive. Of course, critical questions are missing.
Against chatbots: Why we need human-centric tools, not user-hostile interfaces. (tante)
“Use responsibly when recording others”: ChatGPT Record captures and summarizes meetings and voice notes.
LLMs have a “lost in the middle” problem – they focus on the start and end of documents but miss key info in between. (Adam Zewe, MIT News)
30 People to Follow at the Intersection of AI and Academic Publishing. (Helen King, LinkedIn)
Time launches AI audio briefing featuring four-minute podcasts based on its flagship newsletter, with voices from OpenAI called Henry and Lucy.
“A.I. Is Poised to Rewrite History. Literally.” is a love letter to NotebookLM and how historians are using it to analyze data and structure books. (Bill Wasik, New York Times Magazine)
The rise of retrieval bots raises questions about data ownership, monetization, and the future of the open web. (Nitasha Tiku, Washington Post)
What makes workflows different from agents? A good introduction and explanation from Anthropic, and a case for keeping things simple.
