Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,324 posts.
Every Mac since macOS 13 (2022) ships a pair of daemons whose only purpose in life is to build a graph about who you are, who you know, how those people are related to you and to each other, how you communicate with them, where you go, what you do and when. In this post, we look into how this system works and give you…
Claude Fable 5.2 and Claude Mythos 5.2, our new models for the hardest technical challenges. Fable 5.2 sets a new bar in coding, finance, and the sciences.
From the Zed Blog: Writing code is only one part of effective software engineering.
Apple’s NeuralHash: real-world collisions, false positives, and implications for CSAM detection. See what this means for system reliability.
Get enterprise-grade security & privacy and the most powerful version of ChatGPT yet.
Over 11 hours of coding videos on evaluation, inference-time scaling, reinforcement learning, and distillation, with Python and PyTorch.
I installed Claude Code in June. I'd tried Cursor and Cline and Zed and a few others, but all of them felt clunky to me because I'm used to doing nearly everything in vanilla vim and my terminal. Claude Code was the first tool I tried that felt like it fit into my workflows perfectly rather than needing me to adapt to…
Principal AI Architect. Creator of open-strix, a harness for building agent teams. Writing about AI architecture, stateful agents, and what happens when you give AI memory.
Mistral today announced that it has raised €3 billion in a Series D funding round at a post-money valuation of more than €21 billion.
I do not agree with GitHub's unauthorized and unlicensed use of copyrighted source code as training data for their ML-powered GitHub Copilot product. This product injects source code derived from copyrighted sources into the software of their customers without informing them of the license of the original source code…
By Ljubisa Bajic Many believe AI is the real deal. In narrow domains, it already surpasses human performance. Used well, it is an unprecedented amplifier of human ingenuity and productivity. Its widespread adoption is hindered by two key barriers: high latency and astronomical cost. Interactions with language models…
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.
Claude Opus 4.1 is an upgrade over Opus 4 in agentic tasks, real-world coding, and reasoning.
Wolfram plugin gives computationally accurate answers to ChatGPT queries using Wolfram's data knowledgebase and language. Custom visualizations are given as well. Stephen Wolfram explains how it works.
LLMs are used for any things. Learning new things is one of the top use cases.
Like a young child coming home from kindergarten with their latest crayon scrawls, the internet is currently awash with people sharing their AI-generated work. And just like the young child’s drawings, much of that work should be proudly put up on the walls within the artist’s house—and no further.
From Imagen 4 and Veo 3 to Flow, try these new generative media tools today.
Across 16 coding models, hashline’s content-hash line anchors beat patch for 14 models; the weakest models gained the most.
Secure the modern software stack with Koi. Gain visibility, context, and real-time protection over extensions, MCPs, and autonomous AI agent endpoints.
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.
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
It’s unacceptable for a tool to sacrifice an iota of clarity, coherence, meaning, quality, etc. for the purpose of embedding hidden clues within the text to suggest its provenance. The idea that anything other than *my* needs should factor into the generation of text *for me* is patently offensive.
AI takes in all the input, whether the original authors have consented or not, and do some "learning", and then the AI companies sell these learned result to...
Explore Gemma 3 270M, a compact, energy-efficient AI model for task-specific fine-tuning, offering strong instruction-following and production-ready quantization.
Machine learning provides the underlying oomph to many of Google’s most-loved applications. In fact, more than 100 teams are currently using machine learning at Google today, from Street View, to Inbox Smart Reply, to voice search.
Update: This post received a large amount of attention on Hacker News — see the discussion thread.
Claude can now use Skills to improve how it performs specific tasks. Skills are folders that include instructions, scripts, and resources that Claude can load when needed. Claude will only access a skill when it's relevant to the task at hand.
The core of tools like Claude Code, Cursor, and Warp isn't magic. It's about 200 lines of straightforward Python. Let's build one from scratch.
Update (9 Apr 2026): Another one. A helpful person sent in Microsoft 365 Copilot for US Government. That's 81. Chart updated.
We’ve created MuseNet, a deep neural network that can generate 4-minute musical compositions with 10 different instruments, and can combine styles from country to Mozart to the Beatles. MuseNet was not explicitly programmed with our understanding of music, but instead discovered patterns of harmony, rhythm, and style…
