There are no new ideas in AI, only new datasets
LLMs were invented in four major developments... all of which were datasets
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The most popular blog posts about ai & machine learning on Hacker News. 674 posts.
LLMs were invented in four major developments... all of which were datasets
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
And How They Stack Up Against Qwen3
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…
In many discussions where questions of "alignment" or "AI safety" crop up, I am baffled by seriously intelligent people imbuing almost magic...
Trying to teach in the age of the AI homework machine.
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 …
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.
Methods and Strategies for Building and Refining Reasoning Models
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.
It is 1995.
I ordered a set of 10 Compute Blades in April 2023 (two years ago), and they just arrived a few weeks ago. In that time Raspberry Pi upgraded the CM4 to a CM5, so I ordered a set of 10 16GB CM5 Lite modules for my blade cluster. That should give me 160 GB of total RAM to play with. This was the biggest Pi cluster I've…
a loss plateau that looked like my mistake turned out to be a PyTorch bug. tracking it down meant peeling back every layer of abstraction, from optimizer internals to GPU kernels.
Turn AI coding assistants into more reliable development partners
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A messy experiment that changed how we think about AI code analysis Last week, I watched our AI choke on a React codebase - again. As timeout errors flooded my terminal, something clicked. We’d been teaching AI to read code like a fresh bootcamp grad, not a senior developer. Here’s what I mean.
AI was supposed to empower junior developers. In reality, it has become a tool that makes seniors more valuable while exposing the gaps in software culture.
This isn't innovation, it's tyranny
The shameless spin around Stargate UAE
A while back, Google DeepMind unveiled Gemini Diffusion, an experimental language model that generates text using diffusion. Unlike traditional GPT-style models …
Back in my day, we used math for autocomplete.
In Which I Try to Maintain Human Supremacy for a Bit Longer
I've been working with TPUs a lot recently and it's fun to see how they had such different design philosophies compared to GPUs.
“These models somehow just generalize dramatically worse than people. It's a very fundamental thing.”
After 40 years, 30 million rules, 200 million dollars, 2000 person-years, and many promises, Cyc has failed to reach intellectual maturity, and may never will. Exacerbated by the secrecy and insularity of Cycorp, there remains no evidence of its general intelligence.
A breakdown of Claude's memory implementation, how it differs from ChatGPT, and what these opposite approaches reveal about each company's philosophy.
This isn’t a rant against AI. I use it daily, ChatGPT, Copilot, Claude, Gemini. They’re in my workflow like everyone else’s. But the tradecraft is slipping. Analysts are skipping the hard parts. They’re trusting GenAI to do the heavy cognitive lifting, and it’s changing how we operate at a foundational level.
When Language Models Learn to See and Create