How I keep up with AI progress

If you have a decent understanding of how LLMs work (you put in basically every piece of text you can find, get a statistical machine that models text really well, then use contractors to train it to model text in conversational form), then you probably don't need to consume a big diet of ongoing output from PR people, bloggers, thought leaders, and internet rationalists. That seems likely to get you going down some millenarian path that's not helpful.

Despite the feeling that it's a fast-moving field, most of the differences in actual models over the last years are in degree and not kind, and the majority of ongoing work is in tooling and integrations, which you can probably keep up with as it seems useful for your work. Remembering that it's a model of text and is ungrounded goes a long way to discerning what kinds of work it's useful for (where verification of output is either straightforward or unnecessary), and what kinds of work it's not useful for.

I agree, but with the caveat that it's probably a bad time to fall asleep at the wheel. I'm very much a "nothing ever happens" kind of guy, but I see a lot of people who aren't taking the time to actually understand how LLMs work, and I think that's a huge mistake.

Last week I showed some colleagues how to do some basic things with Claude Code and they were like "wow, I didn't even know this existed". Bro, what are you even doing.

There is definitely a lot of hype and the lunatics on Linkedin are having a blast, but to put it mildly I don't think it's a bad investment to experiment a bit with what's possible with the SOTA.