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Why is AI so useless for business?
AI research has structural problems that limit how much it can impact business. But understanding why gives a way to determine what will work and what won't, as well as reveal new business opportunities.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,091 posts.
602
Document-borne AI worms can self-propagate through Copilot for Word
I would like to thank Microsoft product teams and Microsoft Security Response Center (MSRC) for collaborating with me on this technical analysis and mitigation of the disclosed vulnerabilities. The editorial opinions reflected below are solely the author’s and do not necessarily reflect those of the organizations I…
603
Building a personal, private AI computer on a budget
As everyone is well aware, the world is still going nuts trying to develop more, newer and better AI tools. Mostly by throwing absurd amounts of money at the problem. Many of those billions go towards building cheap or free services that operate at a significant loss. The tech giants that run them all are hoping to…
604
Are LLMs able to notice the “gorilla in the data”?
One paper that caught my attention a bit ago was Selective attention in hypothesis-driven data analysis by Itai Yanai and Martin Lercher. In their study, students who were given specific hypotheses to test were much less likely to notice an obvious “gorilla in the data” compared to students who explored the data…
605
LLM Year in Review
2025 Year in Review of LLM paradigm changes
606
Simulating worlds on the GPU: Four billion years in four minutes
This post delves into the implementation of my procedural earth simulation, written entirely in GLSL fragment shaders. It simulates the complete history of an earth-like planet in a few minutes, with the simulation updating at 60 frames per second.
607
Uncensored Models
I am publishing this because many people are asking me how I did it, so I will explain. When I talk about a model, I'm talking about a huggingface…
608
Businesses with ugly AI menu redesigns
I like supporting local businesses but it's so disheartening to see the increasing use of genAI in their branding/marketing/etc. Yuck yuck YUCK!!!
609
Bad numbers in the “gzip beats BERT” paper?
The recent paper, “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors by Jiang et al. [ link ] recently received a lot of attention on twitter.
610
TL;DR of Deep Dive into LLMs Like ChatGPT by Andrej Karpathy
A TL;DR version of Andrej Karpathy's "Deep dive into LLMs like ChatGPT" video.
611
An AI coding agent, used to write code, needs to reduce your maintenance costs
I’ll get straight to the point: your AI coding agent, the one you use to write code, needs to reduce your maintenance costs. Not by a little bit, either. You write code twice as quick now? Better hope you’ve halved your maintenance costs. Three times as productive? One third the maintenance costs. Otherwise, you’re…
612
Machine Learning for Developers
Most developers these days have heard of machine learning, but when trying to find an 'easy' way into this technique, most people find themselves getting scared off by the abstractness of the concept of Machine Learning and terms as regression , unsupervised learning , Probability Density Function and many other…
613
Writing an LLM from scratch, part 8 – trainable self-attention
Moving on from a toy self-attention mechanism, it's time to find out how to build a real trainable one. Following Sebastian Raschka's book 'Build a Large Language Model (from Scratch)'. Part 8/??
614
Use Prolog to improve LLM's reasoning
On one side, LLMs show unseen capabilities in reasoning, but on the other - reasoning in LLMs is not ideal.
615
Diffusion models from scratch, from a new theoretical perspective
This tutorial aims to give a gentle introduction to diffusion models, with a running example to illustrate how to build, train and sample from a simple diffusion model from scratch.
616
ChatGPT: The Slickest Con Artist of All Time
Or 10 tweets about ChatGPT
617
The AI Aesthetic
Every zeitgeist comes with new design idioms unique to its challenges. Many of them disappear as fads change, but others bake themselves into deeper parts of…
618
Fizz Buzz in Tensorflow
interviewer: Welcome, can I get you coffee or anything? Do you need a break? me: No, I've probably had too much coffee already! interviewer: Great, great. And are you OK with writing code on the...
619
How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
How we beat the state of the art to build a real-life A.I. app.
620
AI is dramatically accelerating AI research
If acceleration compounds, the naive extrapolation implies superintelligence within a year
621
Web scraping with GPT-4o: powerful but expensive
tl;dr; show me the demo and source code!
622
End to End Machine Learning Pipeline Tutorial
In the fall of 2016, I was a Teaching Fellow (Harvard's version of TA) for the graduate class on "Advanced Topics in Data Science (CS209/109)" at Harvard University. I was in-charge of designing the class project given to the students, and this tutorial has been built on top of the project I designed for the class.
623
Agent Skills
AI coding agents take the shortest path to done, which usually means skipping the specs, tests, and reviews that make software reliable at scale. Agent Skill...
624
Inside the M4 Apple Neural Engine, Part 1: Reverse Engineering
How we bypassed CoreML and talked directly to the hardware
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What happened after 2k people tried to hack my AI assistant
I built hackmyclaw.com , where anyone could email Fiu, my OpenClaw assistant, and try to make it leak the contents of a secrets.env file.
627
I don't think AGI is right around the corner
Continual learning is a huge bottleneck
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629
Shunning AI is the human choice
LinkedIn may be awash with boosters, but shunning AI is the human choice.
630
Avoiding skill atrophy in the age of AI
How to use AI coding assistants without letting your hard-earned engineering skills wither away.