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FT.com [no paywall]: “Kirkland & Ellis has set aside $500mn to create its own AI platform, as the world’s highest-grossing law firm seeks to develop proprietary technology rather than rely only on tools available to its competitors. The US-based firm expects to spend more than $100mn this year and hundreds of millions more in the …
Gizmodo – Wait, this costs money?: “Just last month, the most important metric in Silicon Valley was tokens burned—the units of measurement for the computing power being used by AI models. CEOs were giving employees the Matthew McConaughey “those are rookie numbers, you gotta pump those numbers up” speech from The Wolf of Wall Street. Now, …
Check Point – 2026 U.S. Election Threat Outlook: “The 2026 U.S. midterm election cycle is expected to drive elevated cyber threat activity across the broader election ecosystem, including political organizations, fundraising and media platforms, government services, campaign personnel, and the providers that support them. Current intelligence and reporting indicate that the most likely 2026 election-related …
Reuters: “What if you could get feedback from your firm’s best litigator at 2 a.m., without waking them up? Vorys, Sater, Seymour and Pease is trying to do just that. The 375-attorney Ohio firm has partnered with a Stanford Law School research lab to build “AI personas” of 19 of its partners, tools that can …
The Verge – “After the Wikimedia Foundation abruptly dissolved a beloved team of engineers, Wikipedia’s volunteers are angry — and discussing how they can push back. Wikipedia is one of the last bastions of trust on the internet. But last week, volunteer editors and contributors were alarmed to hear that a small but important team …
Robert Glasser: “Are people using AI, or is the organization learning from it? What changed because we spent those tokens? And who moves discoveries from individuals to teams to organizational capabilities? Ethan Mollick has been writing about AI adoption in organizations for a while now. In Making AI Work: Leadership, Lab, and Crowd, he makes the …
New York Mag – Intelligencer [no paywall]: “Steven Rosenbaum started writing his book The Future of Truth: How AI Reshapes Reality in 2022, around when ChatGPT launched. Initially he didn’t use it at all, “But as the writing moved forward into 2023, 2024, it got better and I got better at using it,” he said. …
Kottke: “How do dictionary makers keep track of similarly suffixed words, like those ending in -ism, -graphy, -ness, or -ology? With a computer, it’s simple, but how did they do it before the computing age? Starting in the 1950s, lexicographers at Merriam-Webster typed all of the words in the dictionary out backwards and organized them …
Digital Digging: “Google is rebuilding Search to answer instead of point. It still shows you the sources — it just decided, before you did, how few you’d need. Here’s the fix, and why the old operators matter more now than they ever did. On May 19 Google announced the biggest change to its search box …
Via Reddit – “This is what the storage of user information by an age verification company called FaceTec looks like, one of the big players alongside Persona and Yoti. They claim to be “privacy-friendly,” but they proudly allow companies that purchase their software/solution to store as much user data as they want. The company permits …
NiemanLabs: “On Wednesday, The Economist launched its own ChatGPT app — the first of its kind by a major consumer news publication. “The Economist – Graphs” runs natively inside ChatGPT and allows users to interact with the publication’s data visualizations. At launch, the app is focused solely on U.S. polling data. After installing the app, …
Biased AI writing assistants shift users’ attitudes on societal issues. Sci Adv. 2026 Mar 11;12(11):eadw5578. doi: 10.1126/sciadv.adw5578 – Artificial intelligence (AI) writing assistants powered by large language models (LLMs) are increasingly used to make autocomplete suggestions to people as they write text. Can these AI writing assistants affect people’s attitudes in this process? In two large-scale …
