AI Responses May Include Mistakes
The other day I wanted to look up a specific IBM PS/2 model, a circa 1992 PS/2 Server system. So I punched the model into Google, and got this:
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The most popular blog posts about ai & machine learning on Hacker News. 674 posts.
The other day I wanted to look up a specific IBM PS/2 model, a circa 1992 PS/2 Server system. So I punched the model into Google, and got this:
[UPDATE: Feb 8 2025] my amazing colleague Max Shen noticed a sign mistake in my derivation of the partial derivative of the log-harmonic function below.
Don't let AI erode your focus.
Taking the output of many dumb LLM search relevance judges and feeding the output to a decision tree to improve precision
My input stream is full of it: Fear and loathing and cheerleading and prognosticating on what generative AI means and whether it’s Good or Bad and what we should be doing. All the channels: Blogs and peer-reviewed papers and social-media posts and business-news stories. So there’s lots of AI angst out there, but this…
I truly and passionately hate hype. From the fakeness of it to the sheer stupidity it represents, but perhaps most of all, because of the devastating consequence it often results in.
On my podcast this week, I took a closer look at OpenAI’s new video generation model, Sora 2, which can turn simple text descriptions into ... Read more
On February 18, 2025, Humane announced it would be shutting down all services for the always online Humane Ai Pin in ten days, following a sale to HP . I had been vaguely aware of the Ai Pin, definitely more so than the average tech person, as I have a close friend who was one of the earliest adopters and eventually…
Last week I participated in a panel discussion on AI as part of a private event in New Zealand.
Google released Gemini 3 Pro today. Here’s the announcement from Sundar Pichai, Demis Hassabis, and Koray Kavukcuoglu, their developer blog announcement from Logan Kilpatrick, the Gemini 3 Pro Model Card, …
Learning to Think Again, and the Cost of AI Dependency.
The bitter lesson says general methods and compute win. But compute is a constraint, and human-crafted logic often ships cheaper and sooner.
Ever wanted to check on your portfolio and trade some stocks directly with Claude? Well you’re in luck.
Adventures using AI agents, especially Claude Code, and MCP Servers
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Can a model trained on satellite data really find brambles on the ground? We put a new model to the test with a field trip around Cambridge. The results...
Last night I had a very strange experience: About two thirds of the way through reading a Web page about myself, Tim Bray, I succumbed to boredom and killed the tab. Thus my introduction to Grokipedia . Here are early impressions.
Lately I’ve heard a lot of stories of AI accidentally deleting entire codebases or wiping production databases . But in my case it was the other way around. I removed some working code and the LLM helped me to recover it.
In AI circles, a “centaur” describes a certain kind of machine/human collaboration, in which “decision-support” systems (which the field loves to call “AI”s) are paired with human beings for results that draw upon the strengths of each, such as when a human chess master and a chess-playing computer program collaborate…
Spend enough time looking at Python programs and packages for machine learning, and you'll notice that the "JIT decorator" pattern is pretty popular. For example, this JAX snippet:
A few days ago, OpenAI released an open-source language model for the first time in a very long time. It had been promised for a while, but the deadline kept being pushed for “safety” concerns.
The economy will literally double every year afterwards
For a while now I’ve been hearing from engineers who run multiple coding agents at once—firing up several Claude Code or Codex CLI instances at the same time, sometimes in …
From Multi-Head to Latent Attention: The Evolution of Attention Mechanisms What is attention? In any autoregressive model, the prediction of the future tokens is based on some preceding context …
LLMs are making software engineers dumber.
AI tools were supposed to free up our time—but they’re increasing our cognitive load and making us less productive. Here’s what’s really happening (and how to use them without burning out).
Big Tech broke the internet, and this old man’s got a few things to say about it.