In early 2025, I started seeing people turn off their brain as they use LLMs1. They would have an LLM take an action (summarize text, write some code, etc.), and just assume that it worked2. This gene

We previously noted that, while it's easier than ever to hit a particular quality bar by having coding agents use effective test techniques, software quality seems to be getting worse, indicating that

I was curious how well the predictions of the most widely cited AI skeptic I've seen (Ed Zitron) have done, so I looked at how his predictions panned out. To disclose my own biases, I've never had a p

I used to wonder why I see so many more bugs than most people. I easily observe hundreds to thousands of bugs per week and nothing seems to work, but most people I talk to don't see anything like this

The other day, I saw a viral tweet saying that people talking about how LLMs are causing slow, bloated, code are going to eat crow once they re-write everything in super-optimized assembly. We're not

There's been a lot of talk about the vulnpocalypse, to which I don't have much to add because I'm not a security person, but I haven't seen much discussion on the closely related (and to be fair, less

This somewhat widely cited post (I keep seeing it cited, anyway) suggests that dynamic languages and/or languages that represent things more concisely are more token efficient. It seems to be cited en

This is part of a series of exercises on benchmarking, evals, and experimental design (1, 2, 3, 4, 5, 6)1. We're going to look at three questions, which are presented before the answers to give you ti

I've been using AI fairly heavily since last November and the whole thing is a funny experience. An agent will do something that, if a human did it, you'd immediately fire them. My reaction, of course

Ballmer's tenure at Microsoft was underrated; he drove strong financials and made key long-term bets (like cloud) that enabled Nadella's later success.

Player won Codenames by using spatial patterns of card placement rather than word meanings when traditional clue interpretation failed.

Discussions of AI bias in LLMs differ from classical bugs—people often deny obvious biases are problems, like when an AI whitewashed an Asian woman's photo.

FTC memos from a 2011-12 Google antitrust probe reveal decision-makers lacked basic understanding of the tech industry when closing the investigation.

Web bloat now hurts users with slow devices more than slow connections, as CPU performance hasn't kept pace with bandwidth growth.