AI should do a decent job translating it to English.

Huge amount of *non-working* code, as illustrated by this article.

Also author is not super clear on this point, but according to article the partner has programming background.

It took me quite a bit of iterations to get AI to generate output I found good enough and with acceptable errors rate for my practice but that was the part of fun.

If anybody wants to try the same route, the biggest mistake not to repeat is to trust LLMs to generate words definitions by them itself. It does it quite well, but still gives wrong definitions from time to time (~1% in my case for the OpenAI models 2 years ago). This wasn't acceptable to me and took a lot of effort to review and correct cards I already had. Feed vocabulary article with word definition to LLM instead if you want it to generate word definitions suitable to your level instead.

I wrote my own program 2 years ago, that generates new sentence on each review using AI (at that time I used Anki as scheduler). That was fun and quite effective as far as I can tell. I would recommend others learning language past A1, maybe A2 level to do the same. This day you don't need Anki for this, just use one of FSRS libraries for scheduling.

I wish David the best with his new teaching direction. And I hope David will find a practical way to make these courses available for self-study.

Why should it have such incentive? And even more so, why it should be a concern for the court that it should have it?

Start from wherever suit you, play, experiment and pay attention what works for you, adjust and iterate. Don't fixate on shiny concepts, i.e. "engineering notebook", and the "need" its records to be dated, etc. Try something, let it lapse. See if you are worse without it, then adopt it back. If you don't see the difference, so be it.

I will try your idea to create a bunch of Spanish and Italian (2 foreign languages I was/is learning) songs to see how well it would work for me.