BREAKING: Amazon data centers used 2.5 billion gallons of water in 2025
Community note
Amazon's data centers withdrew 2.5 billion gallons of water in 2025, down 2% from 2024 despite expansion, or less than 0.1% of annual U.S. landscape irrigation. aboutamazon.com/news/sustainab…
The new Dreambeans from @GoogleLabs is without a doubt my favorite product in a long time. I am blown away at the custom images, the insights, and the value. Huge kudos to @joshwoodward and the whole team. Just fantastic.
Three numbers from today's Harvey benchmark: 13.3%, 2.1%, 0.0%. That's Fable 5 versus GPT-5.5 versus Gemini on complex legal tasks. The model that won is "free" (part of your subscription) until June 22, and the retention change that comes with it is the part your firm can't skip.
Clean video. Lighting right, audio synced, your client clearly saying the thing he swears he never said. The scary part isn't that it's fake. It's that your real evidence now arrives with the same built-in defense.
Anthropic hit the wall first and published the numbers. Execution got cheap and judgment became the whole job. Your firm runs on the same shape, three years behind.
Claude quietly upgraded the context window size on all paid plans when they rolled out Opus 4.8 last week. It’s now 500K (for Opus 4.8, Opus 4.7, Opus 4.6, and Sonnet 4.6) when using the regular claude.ai chat in any paid plan.
The work that made you a good lawyer, the 2 a.m. review, the memo that came back bleeding red ink, is the first thing AI took. A Stanford study shows what that costs the next generation, and three things to do about it before you set next year's training budget.
"What's the model best at?" A client asked me that last month, and my honest answer surprised him: I don't know, and neither does anyone else. Which is exactly why where you start matters more than which tool you buy, and the full piece lays out how to choose.
You can't hand a model thousands of documents and a deadline if it might tell you it read them all when it skimmed half. That's been the whole problem with AI on real matters. Opus 4.8 didn't fix it, but it moved in the right direction, and I tested it on a live 3,000-document matter the day it launched. Here's what happened.