finding the navier stokes singularity is in some sense much easier than doing your job end to end

🦔The Blue Cross Blue Shield Association says insurers paid out nearly $1 billion more than usual from AI-assisted hospital documentation in 2024-2025. Hospitals use AI to scan records and find secondary diagnoses that human reviewers missed. More diagnoses means higher reimbursements. But treatment levels haven't gone up. BCBSA's SVP of data science said AI is "identifying more billable conditions, not sicker patients." Insurers now deploy their own AI to deny those same claims. Patients pay for both through higher premiums. My Take This might be the most American healthcare story I've ever read. Hospitals bought AI to find more things to bill for. Insurers bought AI to deny those bills. The technology cost money on each end and the tab went straight to patients through higher premiums. A billion dollars moved and no one got any healthier. The only thing that changed was the size of the invoices. Two sides of a trillion-dollar industry found a new tool to fight over the same pool of money and the person in the hospital bed pays for all of it. Premiums go up, denials go up, and the AI vendors collect from everyone. If you want to know who AI works for, stop reading the press releases and look at where the money goes. In healthcare it went straight into the billing department. Hedgie🤗

*deep breath* people think I'm joking when I tell them that to develop taste for software they need to have brunch with their friends, watch old movies and find old records, walk around metropolitan cities and observe how the building styles lend to the personality of the people around them, but I'm so fkin dead serious. where else is this mythical "taste" going to come from? what are you doing to parse the human condition? mf you can barely decide what discomfort you're subjecting yourself to in finding out what you like/dislike, and I'm supposed to trust you to make decisions for millions of people? go do some pottery and come back to me and describe the joy you felt without faffing about curves or whatever, I need you to feel the clay under your fingernails and fall in love with mud. even steve had the decency to drop acid on a sweaty beach in goa to find himself, the least you can do is listen to your friends talk about their lives over a meal without getting distracted by your phone. *exhale*

What can Astra do when given a humanoid embodiment? We built HomeBody to find out. Controlled by GPT Astra, it carries out long-horizon tasks in a previously unseen kitchen—from tidying up across the room to retrieving remembered objects from ambiguous requests—without environment-specific training data or additional policy learning. Here's how we did it 👀: tml.stanford.edu/homebody/

I don’t dispute @dhh saying that we are entering a post-development era. I do find the fixation with Rust a little curious. Why Rust? Why not C or C++ or Go. The model surely doesn’t care. Arguing that “it’s safe” seems a bit goofy. You’re not reading any of the code, you’ve quite literally no idea what it does, but your concerned other languages are ‘less safe’?

Steve Jobs would fire the entire company and replace them with AI if he was alive to see this

By popular demand, I present to you.. my magnum opus.

I worked on this, and Opus 5.5 is our first model model release with targeted improvements on sentence clarity and overly-dense info dumps. It's a hard problem to solve, and we'll continue to make improvements. But I haven't been as happy about a model's writing since Opus 4.6.

TIL macOS 27 now comes with new fm cli 🤯 We can now use Apple's Foundation Models (on device) from CLI!

So ready to do my part in pacing the frontier 🫡 :D

KDE is working on an official AI / LLM policy, and it reads like the rules of Fight Club. In short, KDE’s AI policy: 1) Encourages using AI, as long as a human is kept “in the loop”. 2) But you can’t tell anyone that you used AI. “Don’t disclose LLM usage”. “Don’t add ‘Assisted-by: [some LLM]” (as is done in the Linux kernel). “Nobody in KDE should know if you use an LLM”. In other words: “Welcome to developing KDE with AI. The first rule of developing KDE with AI is: you do not talk about developing KDE with AI.” invent.kde.org/plasma/plasma…

There's a "micro generation" from 1976 to 1984 or so that's been called the "Oregon trail generation." Because they played a bunch of Oregon trail on the apple II computer on school or at the library They grew up, and maybe even started college without the internet, most didn't have a computer at home, maybe not even in college. But by the time they graduated and got they're great job they were online and using a computer almost everyday. They maybe had a flip phone in college or just after, but by the time they were in their 30s most would have smartphones. It's the people who saw the internet change the world just about the time they became adults. They grew up in one world and live in another.

Most Anthropic models are unusable for anything beyond coding. It's unclear whether they really understand how bad things are. See for e.g. Boris's response here and make what you want of it.