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Thank you!

And side note on your last point - I've been burned too many times by confident hallucinations to trust my foundational learning to GPT. I hope someday that will improve, but for now ChatGPT is as trustworthy as an evening chat with someone at the bar.

... Someone who has been drinking since happy hour.

If you'd like a trustworthy overview, the book Designing Data-Intensive Applications by Martin Kleppmann is a classic. I really hope we get an updated version, but the fundamentals all still hold anyway.
Of course. The only thing LLMs are good for is...

https://hachyderm.io/@inthehands/112006855076082650

> You might be surprised to learn that I actually think LLMs have the potential to be not only fun but genuinely useful. “Show me some bullshit that would be typical in this context” can be a genuinely helpful question to have answered, in code and in natural language — for brainstorming, for seeing common conventions in an unfamiliar context, for having something crappy to react to.

> Alas, that does not remotely resemble how people are pitching this technology.