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Rob Pike got spammed with an AI slop "act of kindness"
Rob Pike (that Rob Pike) is furious. Here’s a Bluesky link for if you have an account there and a link to it in my thread viewer if you don’t. …
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,091 posts.
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The LLM Critics Are Right. I Use LLMs Anyway
I almost agree with all of the LLM critics, yet I still use LLMs a lot. I know this sounds like I am delusional, but I don't think I am alone with it.
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Natural language is the lazy user interface
A chatbot is the lazy user interface. It puts all the burden on the user to articulate good questions.
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All AI models might be the same
what can language model embeddings tell us about whales speech, and decoding ancient texts? (on The Platonic Representation Hypothesis and the idea of *universality* in AI models)
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Open Source Speech Recognition
I’m currently working on the Vaani project at Mozilla, and part of my work on that allows me to do some exploration around the topic of speech recognition and speech assistants. After looking at some of the commercial offerings available, I thought that if we were going to do some kind of add-on API, we’d be best off…
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Microgpt explained interactively
Walk through Karpathy's 200-line GPT from scratch. Tokenize names into integers, watch softmax convert scores to probabilities, step through backpropagation on a computation graph, explore attention heatmaps, and see a tiny model learn to generate plausible names.
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The arguments against open source AI are bad
The release of Kimi K3 has opened a fresh round of angst and confused discourse. There's a loud cohort of journalists, business leaders, and politicians arguing that open source AI is a dangerous threat. OpenAI's Dean Ball:
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A Visual Guide to LLM Quantization
Exploring memory-efficient techniques for LLMs
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Highlights from the Claude 4 system prompt
Anthropic publish most of the system prompts for their chat models as part of their release notes. They recently shared the new prompts for both Claude Opus 4 and Claude …
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Ways to think about machine learning
Everyone has heard of machine learning now, and every big company is working on projects around ‘AI’. We know this is a Next Big Thing. But we don’t yet have a settled sense of quite what machine learning means - what it will mean for tech companies or for companies in the broader economy, how to
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Video scraping: extracting JSON from a 35s screen capture for 1/10th of a cent
The other day I found myself needing to add up some numeric values that were scattered across twelve different emails. I didn’t particularly feel like copying and pasting all of …
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Interview with gwern
Legacy & Anonymity in the Age of AGI
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When did AI take over Hacker News?
One in three top 10 Hacker News posts in August 2025 were AI-related. Can we pinpoint when this trend started?
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It’s infuriatingly hard to understand how closed models train on their input
One of the most common concerns I see about large language models regards their training data. People are worried that anything they say to ChatGPT could be memorized by it …
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AI found a bug in my code
I wanted to see how a language model would analyze my existing code.
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Local LLMs versus offline Wikipedia
How do the sizes of local LLMs compare to the size of offline Wikipedia downloads?
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Making Wolfram tech available as a foundation tool for LLM systems
Wolfram's Foundation Tool supplements LLM foundation models with deep computation and precise knowledge. CAG (computation-augmented generation) underlies multiple access methods.
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An open letter to Dario: if you mean it, open the weights
Dear Dario, You published We Must Pace the Frontier today, which committed Anthropic to embedded third-party evaluators and asked governments to require every other frontier company to match. Sam Altman agreed within hours.1 The stated goal is to slow down the pace of AI progress. I believe you’re being sincere, so…
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Some of the most important deep learning papers
Engineering at Forward | UCLA CS '19
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The Illustrated AlphaFold
A visual walkthrough of the AlphaFold3 architecture, with more details and diagrams than you were probably looking for.
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OpenClaw isn't fooling me. I remember MS-DOS
The sad days of DOS. Any program could peek and poke the kernel, hook interrupts, write anywhere on disk. There was no safety.
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How I'm fighting the AI brain fry
If you work with Claude Code or Codex from the terminal, you know this one.
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OpenAI's Foundry leaked pricing says a lot
GPT4, the start of The Great Implementation, a move from Generative to Productive AI, OpenAI's safety & growth strategies, and the future of work.
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Scaling LLMs to Larger Codebases
Where to focus investments to best leverage AI tooling
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The Smallest Brain You Can Build: A Perceptron in Python
A perceptron explained from scratch in Python, with interactive demos. Learn weights, bias, the decision boundary, epochs, learning rate, and why we normalize data.