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The most popular blog posts about ai & machine learning on Hacker News. 757 posts.
On Canada Day (July 1), 2026, Anthropic shipped a surprising "easter egg" to users of Claude Code: `2.1.198` includes an efficiency bypass which allows agents to continue on without being blocked on direction from a human.
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 ....
In 1958, Mao ordered every village to produce steel. The steel was useless. The crops rotted. Today's top-down AI mandates are producing the same pattern: ba...
In the previous part of the Build A Basic AI Agent From Scratch series, we added the essential tools to our agent to allow it to work…
The enormous advance in AI capabilities over the last several years has in large part been driven by the availability of vast amounts of training data.
Why the productivity gains from AI are still small.
Qwen3.8 27B benchmarked on a Mac Studio M3 Ultra: Ollama and llama.cpp numbers, the 1-bit quant tested, RAM math, and the hardware that actually fits.
Thoughts on the new technical report from AMÁLIA: The Open Source LLM for European Portuguese
Maybe you’re a Claude code/codex user diligently avoiding uploading personal data to LLM providers. Is it possible that the most valuable information isn’t your data- but the metadata about your sessions? The intuitions you apply in coming up with ways to coax the ai into solving problems might actually be special…
How a Single Function Call Gates Safety Alignment in Gemma, Qwen, and Other Open-Source LLMs
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…
We trained an MLP that predicts 58 body shape parameters from 8 questionnaire inputs. The trick: a differentiable physics loss. Mass accuracy: 0.3 kg mean vs 3.9 kg for Ridge. No GPU at inference.
The CEOs of OpenAI and Anthropic have both claimed that human-level AI is just around the corner — and at times, that it's already here. These claims have generated enormous public attention. There has been some technical scrutiny of these claims, but critiques rarely reach the public discourse. This piece is a sketch…
A little AI tells detector helps us promote good writing.
Some observations from my War of the Lancehttps://en.wikipedia.org/wiki/WaroftheLance%28videogame%29 1989 Code Harness assisted modernisation WIP I gave Qwen-3....
New from Google. They say it's "built to push the frontier of intelligence and solve modern challenges across science, research, and engineering". It drew me a really good SVG of …
I have a solid workflow for making my game with AI. However, every iteration, I have to go through extensive manual play-testing to verify functionality…
A from-scratch JEPA world model trained on Super Mario Bros. to study action-conditioned prediction and reward-free planning.
A language model on a 1975 MOS 6502 processor, using a tiny Mamba-based language model and custom 8-bit ternary inference engine, used to generate text on a BBC Micro from the 1980s.
Over the course of four weeks in January and February, I built a new programming language using Claude Code. I named it Cutlet after my cat. It’s completely legal to do that. You can find the source code on GitHub , along with build instructions and example programs .
"Cognitive debt," Claude Code, and the negative space around AI
What if you could let Claude and Codex work together as pair programmers, talking to each other directly? One of them as the main worker and the other as a reviewer.
Fully discrete methods dominated for a few years, but language models based on continuous diffusion are making a comeback.
What nginx logs actually prove about AI traffic from ChatGPT, Claude, and Perplexity, plus why Google's AI crawlers leave a different signal than the others.
Introduction 3D Gaussian splatting is a technique that answers this question: given a dataset of pictures of a scene, how can I reconstruct it in 3D? This is achieved using a machine learning algorithm that, for many different camera angles, does the following: render the scene, compare it to the picture taken at the…
I think I have an idea why we're so extremely divided on AI: it's because we have an intuitive sense of who it stands to benefit, and who stands to pay the costs. I think whether you see reason for optimism has a lot to do with which group you see yourself in.
Agents used to be a thing you talked to synchronously. Now they’re a thing that runs in the background while you work. When you make that change, the …
Practice machine learning engineering with hands-on coding challenges. Implement neural network components, backprop, and more — from scratch.
From a single pilot to an air campaign: planning, parallelism, memory, verification, and observability for production-shaped agents.
