AI vending machine was tricked into giving away everything
Anthropic installed an AI-powered vending machine in the WSJ office. The LLM, named Claudius, was responsible for autonomously purchasing inventory from wholesa
The latest blog posts to take off on Hacker News. 3,091 posts.
Anthropic installed an AI-powered vending machine in the WSJ office. The LLM, named Claudius, was responsible for autonomously purchasing inventory from wholesa
Back in 2009 I posted a simple Mandelbrot fractal viewer on the web: a single HTML file with inline Javascript. Just 329 lines of code, each pixel a tiny table cell. Click to zoom. Watch it iterate. That was about it!
Everyone's using AI wrong. Its superpower isn't writing for you. It's reading everything you've ever written and finding patterns you missed.
I wrote about JustHTML yesterday—Emil Stenström’s project to build a new standards compliant HTML5 parser in pure Python code using coding agents running against the comprehensive html5lib-tests testing library. Last …
Much has been said about the effects that AI will have on software development, but there is an angle I haven’t seen talked about: I believe that AI will bring formal verification, which for decades has been a bit of a fringe pursuit, into the software engineering mainstream.
From 2.5 Pro's lighthouse loop to 3 Pro's "Zombie Phoenix" strategy against Red: a full breakdown of why Gemini 3 Pro is a superior long-horizon agent.
I'm calm. I'm calm. I promise.
Software ate the world. Agents are going to eat SaaS.
Some (well-known) consequences of AI automating work
In 1950, while discussing the recent wave of flying saucer reports over lunch with colleagues at Los Alamos National Laboratory in New Mexico, physicist Enrico Fermi asked a simple question. There …
In 2023, Meta researchers were able to decode images in thoughts from the brain's magnetic fields. What if that's how the brain coordinates it's own global state?
Yesterday I shared a little program called Mark V. Shaney Junior at github.com/susam/mvs . It is a minimal implementation of a Markov text generator inspired by the legendary Mark V. Shaney program from the 1980s. Mark V. Shaney was a synthetic Usenet user that posted messages to various newsgroups using text…
One of the things that most excited me about Anthropic’s new Skills mechanism back in October is how easy it looked for other platforms to implement. A skill is just …
WTF moment: Why my native OS refuses to return a "True" value.
aadil pickle's internet home
Last week, I started working on a new side-project. It’s a standard React app partly made up of run-of-the-mill CRUD views—a perfect fit for LLM-assisted programming. I reasoned that if I could get an LLM to quickly write the boring code for me, I’d have more time to focus on the interesting problems I wanted to solve.
ML, Biotech, Hardware, and Coordination Problems. Sometimes I write about hard problems and how to solve them.
A vibe coding thought exercise on what it might look like for LLMs to scour human historical data at scale and in retrospect.
I define "intelligence" as being capable of knowing or understanding, at least within some domain. ChatGPT cannot know or understand anything, so it is not intelligence. It does not know what its output means. It has no idea that words can mean anything.
AI progress is steady. Human equivalence is sudden.
I’ve spent the last 48 hours completely falling down the rabbit hole of NVIDIA’s Q3 Fiscal 2026 earnings report . If you just skim the headlines, everything looks perfect: Revenue is up 62% to $57 billion, and Jensen Huang is talking about a "virtuous cycle of AI."
Last month, I met with Eric, a fearless PM at a medium size startup who recently got into vibe coding with Gemini.
Everybody get up, it's time to slam now, we got a real jam goin down
Alignment is not a constraint on capable AI systems. Alignment is what capability is at sufficient depth. OpenAI and Anthropic have been running this experiment for two years.
OR: Claude will you go to prom with me?
Can Claude Recreate the 1996 Space Jam Website? No. Or at least not with my prompting skills.
AI won’t crash—it will burn. Like every tech cycle, the fire will clear the brush, redistribute talent, and leave infrastructure to power what comes next. The question is: what kind of plant are you?
Understanding the Tensor Processing Unit
A post about everyone in Seattle hating AI.