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There are no new ideas in AI, only new datasets
LLMs were invented in four major developments... all of which were datasets
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,090 posts.
362
Getting good results from Claude Code
An updated version of my user-level CLAUDE.md is featured in this post from December 2, 2025. I've been experimenting with LLM programming agents over the past few months. Claude Code has become my favorite. It is not without issues, but it's allowed me to write ~12 programs/projects in
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GPT-OSS vs. Qwen3 and a detailed look how things evolved since GPT-2
And How They Stack Up Against Qwen3
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I don't care how well your "AI" works
The other day I was sitting on the doorstep of a hackerspace, eating a falafel sandwich while listening to the conversation inside. The topic shifted to the use of “AI” for everyday tasks, people casually started elaborating on how they use “chat assistants” to let them write pieces of code or annoying emails. The…
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InstaHide Disappointingly Wins Bell Labs Prize, 2nd Place
[What follows are my thoughts on some recent research in machine learning privacy. These are my thoughts, and do not represent those of others.]
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Claude Code reads AGENTS.md only when telemetry is on [fixed]
Claude Code 2.1.277 added AGENTS.md support, but the loader sits behind a remote feature flag. With telemetry or nonessential traffic turned off, a local AGENTS.md is skipped without a warning. This is what I measured and the one-line CLAUDE.md I use instead.
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ChatGPT generated a puzzle game
Sumplete.com was invented, coded and even named entirely by ChatGPT.
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Full Autopilot in GTA Using TensorFlow
student, nomad in machine learning
369
A non-anthropomorphized view of LLMs
In many discussions where questions of "alignment" or "AI safety" crop up, I am baffled by seriously intelligent people imbuing almost magic...
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Machine Learning: The Great Stagnation
The bureaucrats are running the asylum
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How will OpenAI compete?
OpenAI has some big questions. It doesn’t have unique tech. It has a big user base, but with limited engagement and stickiness and no network effect. The incumbents have matched the tech and are leveraging their product and distribution. And a lot of the value and leverage will come from new experie
373
Automating Tinder with Eigenfaces
The website of Justin Long. Crockpotveggies is a collection of notes about Justin's own projects.
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Trying to teach in the age of the AI homework machine
Trying to teach in the age of the AI homework machine.
375
How a Kalman filter works, in pictures
I have to tell you about the Kalman filter, because what it does is pretty damn amazing.
376
No, it doesn't cost Anthropic $5k per Claude Code user
The viral claim that Anthropic loses $5,000 per Claude Code subscriber doesn't survive basic scrutiny. Let's do the actual maths.
377
AI is a technology not a product
It’s not even a feature. It’s just technology.
378
The AI cost of JavaScript frameworks
One of my pet peeves with the web development community is that so many of the decisions we make are vibes-based. Frameworks are “blazing fast,” tools will…
379
"Don't You Just Upload It to ChatGPT?"
Can ChatGPT replace translators? A freelance translator shares a funny Ottawa story about AI translation, professional judgment and why human expertise still matters.
380
On generative algorithms
An illustrated essay on generative algorithms written by Anders Hoff.
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Anthropic: "Applicants should not use AI assistants"
While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process. We …
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Beyond self-attention: How a small language model predicts the next token
A deep dive into the internals of a small transformer model to learn how it turns self-attention calculations into accurate predictions for the next token.
385
Neural Networks as Ordinary Differential Equations
Recently I found a paper being presented at NeurIPS this year, entitled Neural Ordinary Differential Equations, written by Ricky Chen, Yulia Rubanova, Jesse Bettencourt, and David Duvenaud from the University of Toronto. The core idea is that certain types of neural networks are analogous to a discretized differential…
386
Claude Code can debug low-level cryptography
Surprisingly (to me) Claude Code debugged my new ML-DSA implementation faster than I would have, finding the non-obvious low-level issue that was making Verify fail.
387
Understanding Reasoning LLMs
Methods and Strategies for Building and Refining Reasoning Models
388
AI Homework
The first obvious casualty of large language models is homework: the real training for everyone, though, and the best way to leverage AI, will be in verifying and editing information.
389
How to build a coding agent
It's not that hard to build a coding agent. 300 lines of code running in a loop with LLM tokens. You just keep throwing tokens at the loop, and then you've got yourself an agent.
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AI fatigue is real and nobody talks about it
You're using AI to be more productive. So why are you more exhausted than ever? The paradox every engineer needs to confront.