Deciphering Glyph

Creative Work Writers went on strike to get protections against “AI”.

One of the issues that I have with the current generation of “AI” products is that they do not appear to take their own premises seriously.

Open source is, at least in part, about you, where “you” refers to the user.

I get asked this rhetorical question a lot, in various forms: Sure, datacenters might use a lot of energy, but you don’t have to use a hosted frontier model to do software development.

As I have discussed in previous posts, “AIs” can make mistakes.

Let’s say you’re writing a Python library.

Humans Are Bad At Perceiving Humans are not particularly good at catching bugs.

As you already know if you’ve read any of this blog in the last few years, I am a somewhat reluctant — but nevertheless quite staunch — critic of LLMs.

The dawning of a new year is an opportune moment to contemplate what has transpired in the old year, and consider what is likely to happen in the new one.

Tell me if you’ve heard this one before.

The most optimistic vision of generative AI1 is that it will relieve us of the tedious, repetitive elements of knowledge work so that we can get to work on the really interesting problems that such tedium stands in the way of.

My father, also known as “R0ML” once described a methodology for evaluating volume purchases that I think needs to be more popular.

What’s a good maximum line length for your coding standard?