This is very interesting work, but it's not really a LLM. It doesn't have language abilities. They should have called it a seq2seq model, but I think that term is not in vogue these days :)
I can do it myself and it's not a huge hill to climb, but I don't necessarily have the time to do it. There is also the time that needs to be dedicated towards maintenance (upgrades etc.).
I have heard this argument from perfectly healthy people, and I couldn't really believe it, since there are just so many other touch points when you go to a restaurant.
If someone is immuno compromised I think this makes sense to extent.
Congrats! I went to your demo and asked for words that end in agi. This is what I got:
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agi, agi, agi, agi, agi, agi, agi
These are some of the words that end in agi. You can also use the word agi in a sentence. For example, "I am going to the grocery store to get some agi."
That's sad and hope something can be done about that. But that still doesn't mean we should go back and kill the iphone if we can do it. Because then we should go back to get rid of cars (so many accidents) and kill industrial revolution as well (so much pollution)...
HIIT vs. regular cardio is not micro optimization (in your words). Trying to figure out the exact heart rates might count as one.
An analogy to what you are saying would be this: Studying in MIT vs. any random university should be the same. "Go to college, study hard and you will be fine. It's not rocket really science."
It's almost like a universal law that generic stuff is helpful only to some extent, after which you need specialization. That's why we do PhDs I suppose. And that's why you have cardiologists.
Somewhat orthogonal comment. Was reading this book "The coming storm" where the author Michael Lewis talks about chaos theory, and how you could go back to one (small) thing that is at the root of who you are. For example, DJ Patil had dyslexia, and that made him not do well in the school, and so he ended up going the off-beaten track and hacking his school systems etc. Years later, he was hacking into US Weather service's data, and many more incidents later, he became "Head of Data Products and Chief Scientist of LinkedIn" and later worked for Obama.
Parallel here is that one guy's mischievous behavior has such a massive consequence.