The USA could compete by doing the same thing. If it chooses not to, China gets ahead in this race.

That’s a fair point. Where I am is about 28% fossil fuels I believe, so it’s a slightly different calculation.

No, and I do understand that training is the most energy-intensive part of the process. I don’t know how exactly it divides up: how much of the work of massive data centres is training and how much is running people’s queries on finished models.

I’m using it locally, with models my existing computer can handle. I think, but I’m not sure, that it’s better for the environment than buying into some massive model hosted in a data centre. And I don’t want to lose my skills so I still try to do as much as I can without calling on it.

These days we have to expect many projects will have them. It’s really a question of how responsibly and carefully AI is used. Some people just throw in their requirements, have the AI spit out code, do a cursory check to see if it seems to work, and that’s it. Other people take responsibility for the architecture and the code quality, using AI in a focused way and reviewing the results carefully. I’d look at the quality of the architecture and code before judging. I confess I have not done that yet with this one; I just thought it sounded potentially interesting.

There are quite a few ways to write web applications with Rust these days, and while this sounds like it has potential, I’d still pick frameworks that are a little more mature for my own projects.