421
What can LLMs never do?
On goal drift and lower reliability. Or, why can't LLMs play Conway's Game Of Life?
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,090 posts.
422
What I learned from looking at every AI/ML tool I could find
[Twitter thread, Hacker News discussion]
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The force-feeding of AI features on an unwilling public
This isn't innovation, it's tyranny
425
Auto-research with codex: How I achieved a 232x Faster Kernel
Table of Contents Intro Contest in short Problem intro Why this problem is auto-research-able Learning Enough to Ask Better Questions (Optional) Math f...
426
Astra for Coding: Why Are We Doing This Again?
Some thoughts on Astra and newfangled long-horizon models.
427
Building supercomputers for autocrats probably isn't good for democracy
The shameless spin around Stargate UAE
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Old and new apps, via modern coding agents
I have been interested in machine-assisted ways to do and teach mathematics from as far back as 1999, when I started coding several applets in Java 1.0, both for my complex analysis and linear alge…
430
BERT is just a single text diffusion step
A while back, Google DeepMind unveiled Gemini Diffusion, an experimental language model that generates text using diffusion. Unlike traditional GPT-style models …
431
Markov chains are the original language models
Back in my day, we used math for autocomplete.
432
Giving GPT-3 a Turing Test
I’ve been playing around with OpenAI’s new GPT-3 language model. When I got beta access, the first thing I wondered was, how human is GPT-3? How close is it ...
433
Why do AI company logos look like buttholes? (2025)
A humorous exploration of the uncanny resemblance between AI company logos and human anatomy. Discover why circular, gradient-based designs dominate the AI industry, and what this design convergence tells us about branding in tech.
434
ChatGPT Containers can now run bash, pip/npm install packages and download files
One of my favourite features of ChatGPT is its ability to write and execute code in a container. This feature launched as ChatGPT Code Interpreter nearly three years ago, was …
435
O3 beats a master-level GeoGuessr player, even with fake EXIF data
In Which I Try to Maintain Human Supremacy for a Bit Longer
436
Claude Code as a Daily Driver: Claude.md, Skills, Subagents, Plugins, and MCPs
A deep dive into Claude Code for daily users. Covers the .claude directory, CLAUDE.md the way Boris writes it, CLAUDE.local.md, Skills with real examples, custom subagents, plugins, underused commands like /goal and /insights, MCPs, and the workflow patterns the Anthropic team actually uses.
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TPU Deep Dive
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.
439
Ilya Sutskever: We're moving from the age of scaling to the age of research
“These models somehow just generalize dramatically worse than people. It's a very fundamental thing.”
440
Hacker's Guide to Neural Networks
Musings of a Computer Scientist.
441
Obituary for Cyc
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.
442
Claude’s memory architecture is the opposite of ChatGPT’s
A breakdown of Claude's memory implementation, how it differs from ChatGPT, and what these opposite approaches reveal about each company's philosophy.
443
Random Forests for Complete Beginners
The definitive guide to Random Forests and Decision Trees.
444
The slow collapse of critical thinking in OSINT due to AI
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.
445
Exploring 12M of the 2.3B images used to train Stable Diffusion
What images were used to train Stable Diffusion's text-to-image AI model? I worked with Simon Willison to make a data browser to explore and search a sample of 12 million images.
446
The Weird Nerd comes with trade-offs
A metascience post of sorts that argues we should take human capital more seriously
447
No elephants: Breakthroughs in image generation
When Language Models Learn to See and Create
448
"A computer can never be held accountable"
This legendary page from an internal IBM training in 1979 could not be more appropriate for our new age of AI. A computer can never be held accountable Therefore a …
449
Understanding is the new bottleneck
Agents can write code faster than we can absorb it. Here's why it still matters for humans to understand what they build — and some techniques for doing that efficiently: explainer docs, quizzes, micro-worlds, and shared spaces.
450
I Am An AI Hater
I am an AI hater. This is considered rude, but I do not care, because I am a hater.