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The most popular blog posts about ai & machine learning on Hacker News. 674 posts.
Have you ever argued with someone who is seriously good at debating? I have. It sucks. You’re constantly thrown off-balance, responding to a point you didn’t expect to. You find yourself defending the weak edges of your argument, while the main thrust gets left behind in the back-and-forth, and you end up losing…
There is only one thing worse than being imitated
I have literally never seen LLM writing that actually improved my life.
Sergey Filimonov's blog
At Soundslice, our sheet music scanner digitizes music from photographs, so you can listen, edit and practice. We continually improve the system, and I keep an eye on the error logs to see which images are getting poor results.
"The problems are tractable, but they're still difficult”
offensive security & software engineering
Neither OpenAI nor Anthropic have a chance at this point
Since the disastrous launch of the RTX 50 series, NVIDIA has been unable to escape negative headlines: scalper bots are snatching GPUs away from consumers before official sales even begin, power connectors continue to melt, with no fix in sight, marketing is becoming increasingly deceptive, GPUs are missing processing…
Watching OpenAI’s new o3 model guess where a photo was taken is one of those moments where decades of science fiction suddenly come to life. It’s a cross between the …
PR by Xuan-Son Nguyen for llama.cpp: This PR provides a big jump in speed for WASM by leveraging SIMD instructions for qX_K_q8_K and qX_0_q8_0 dot product functions. Surprisingly, 99% of …
In my opinion, one of the best critiques of modern AI design comes from a 1992 talk by the researcher Mark Weiser where he ranted against “copilot” as a metaphor for AI.
A post about everyone in Seattle hating AI.
I presented an invited keynote at the AI Engineer World’s Fair in San Francisco this week. This is my third time speaking at the event—here are my talks from October …
Curing Your AI 10x Engineer Imposter Syndrome
This is the third in my annual series reviewing everything that happened in the LLM space over the past 12 months. For previous years see Stuff we figured out about …
As a bit of background, one of my hobbies is helping people recover data from old tape cartridges, such as QIC-80 tapes, which were a rather popular backup medium in the 1990s among individuals, small businesses, BBS operators, and the like. I have a soft spot for tape media; there’s something about the tactile…
This document is a summary of my personal experiences using generative models while programming over the past year. It has not been a passive process. I have intentionally sought ways to use LLMs while programming to learn about them. The result has been that I now regularly use LLMs while working and I consider their…
Context Engineering is the new skill in AI. It is about providing the right information and tools, in the right format, at the right time.
Another of the announcements from Google I/O yesterday was Gemini Diffusion, Google's first LLM to use diffusion (similar to image models like Imagen and Stable Diffusion) in place of transformers. …
https://slopevader.com/ A search tool and browser extension for avoiding AI slop. Available for Chrome or Firefox. The tool filters web...
Nano Banana allows 32,768 input tokens and I’m going to try to use them all dammit.
Picture Tom Nook greeting you with a sentence nobody at Nintendo wrote. That is what “animal crossing llm” usually points to: an experimental fan…
An essay about bad AI app design
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.
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.
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.
Update: This post received a large amount of attention on Hacker News — see the discussion thread.
Most coders want AI to write code faster: I want AI to write FASTER CODE.
