I believe the author of the video is one of the authors of the tool codeberg.org/uzu/strudel. Incredibly fascinating stuff.

Looks like what she's using is a tool called strudel.cc. I tried their repl and it's fantastic. I know next to nothing about music production but was able to make sounds come out of my speakers

It's worth noting that I did some googling and couldn't find anything about the architecture, models, LLM, AI stack. If the goal is transparency I'd have expected this to be publicly available to review.

Welcome new friends. 👋

Don't interpret the study as Adopt AI now, there are drawbacks. It should be a guide to think about where it fits in your org

• Developer trust is the barrier to greater usage - Establish an AI usage policy, give people opportunity to experiment but don't force them to use it.
• There are mixed signals coming from other sources/survey - METR stands out and raises questions about the credibility of self reported data

TL;DR
• Mostly self reported data.
• 90% of devs use AI at work.
• Simply adopting tools fix your problems
• AI adoption is a force multiplier - if your delivery practice is good, you'll likely see some benefit. If it's bad, it'll likely make everything worse.

Alternatively get a Mac Mini or studio. Both expensive but fine options.