The latest blog posts to take off on Hacker News. 3,090 posts.
I used to be one of these people. I read Yudkowsky and was like, OMG recursive self improvement hard takeoff AI is coming. Then I joined the real world and actually tried to do things. At comma, we ship a hardware product of similar complexity to a cell phone, and it’s really hard. Reality has lots of finicky details…
My latest Locus column is "Reverse Centaurs," and it sets out to unravel a paradox: how is it that some AI's users describe their experience as a hellish ordeal, while others delight in the ways that AI is changing their lives for the better?
AI changes rewrite economics because codebases with clear, common patterns get more leverage than proprietary or inconsistent systems.
I didn't expect to get so tired of reading LLM output.
Just a few years ago, realistic local speech generation seemed unimaginable. Today, its quality is exceptional and, crucially, it delivers these results without compromising privacy.
A. Karpathy once said that OpenAI researchers are effectively "automating themselves away" by improving their AI. Right now I develop Beagle SCM with Anthropic's Fable and it is of course a brilliant model able to spot nits in a mountain of code, file tickets, make fixes. Still, yesterday it managed to commit the…
GLM 5.2 is the first open weights model I'd call a genuine competitor to Opus and GPT for agentic work - at ~15-20% of the price. Part one of why AI inference margins are about to collapse.
It stops being all about the vibes when the API bill hits you. Many companies are now discovering that AI can indeed be pricey. One habit that might be driving up your AI bill is comparing models by $X per 1M tokens ....
Edit: This was a hit on HackerNews and I received a ton of valuable feedback. I’ve put markers for the amendments I’ve made
Anthropic spends 2.3x payroll on compute. Top software firms spend 0.4x. Three scenarios for where the rest of the market lands by 2029.
About an aggravating tool-calling regression in newer Claude models.
Junior programmers are getting destroyed by AI — down 19%, while devs over 40 thrive. Meanwhile, millions of non-developers are shipping real software without the job title. The credential market collapsed; the activity exploded. The problem: nobody's building the next generation of senior engineers.
I've been using AI fairly heavily since last November and the whole thing is a funny experience . An agent will do something that, if a human did it, you'd immediately fire them. My reaction, of course, is to act as if this is great and spin up a thousand agents so they can do even more of that.
By Dr. Rachel Simmons, Postdoctoral Fellow, Stanford University
Keep track of artifacts, not scratch. Alt title: Claude, please stop trying to memorize random crap
We don’t need an extra reason to be anxious
I've spent about 100 hours of work over the past month to make sure git-annex can build without dependencies that contain LLM generated code. At least so far.
I'm Jesse. I make stuff. Software, hardware. Very occasionally, trouble.
I inspected Claude Code for privacy reasons and found hidden system prompt markers based on API base URL and timezone.
Welcome to my personal blog! I use it to share what I'm currently learning or thinking about, usually on topics related to technology, business, and health.
Alt title: The reports of tokenmaxxing’s death are greatly exaggerated.
For those of you who don’t know, when I’m not writing novels, I spend my days as a software engineer, writing code. The software industry these days relies heavily on artificial intelligence. Because it has studied trillions of lines of publicly accessible source code, because code solves problems with testable right…
There's a moment in the movie Good Will Hunting which perfectly summarizes all the problems with AI slop and online noise and infinite advice content. Sean (played by Robin Williams) is sitting next to Will (Matt Damon) on a bench in Boston Public Garden. I live here, so I know it well. The area
Plus: Fiery resistance to a nuclear AI data center and A24's Google debacle. Welcome to the first episode of BLOOD IN THE MACHINE: THE SHOW, with the great AI and crypto watchdog, Molly White.
AI has a cost problem. The solution that will emerge will be simpler than we expect.
I built hackmyclaw.com , where anyone could email Fiu, my OpenClaw assistant, and try to make it leak the contents of a secrets.env file.
Last week, I posted a visual demonstration of the sameness of AI-generated content.
Today I was setting up Hermes to see how it does with web research. I chose DeepSeek V4 because I know it is cheap, but seeing it’s pricing next to Anthropic and OpenAI ‘frontier’ models is crazy. Nearly a 50x price increase based on tokens alone, let alone how much pondering any of their models might fall into (using…
A year ago in The Back Of The AI Envelope I pointed out that the AI platforms were running the drug-dealer's algorithm, "the first one's fr...
