For those of us who care about the answers to these questions, rather than who gets credit for doing it, we will welcome any faster means of solving these problems.
The trick is, at that time most of the possible mass range was excluded experimentally, so it is a bit less impressive. I'm not sure how much tuning went into it (possibly none)
Interestingly, there is some neuroscience research that transformer architecture resembles "cue based retrieval" in the human brain in some important ways.
My point is if the people in the study were not randomly selected, there are any number of confounding factors that could influence why their anxiety changed.
Facebook does not typically do academic level research - they do quick studies to verify product direction.
From what I have seen, the actual academic studies on this are mixed. It is hard to say one way or the other, and it can affect different teens differently depending on how they use it.
"But internal study found users who stopped using Facebook and Instagram for a week showed lower rates of anxiety, depression, and loneliness."
This isn't causal though. The users who quit were not randomly selected. Maybe they were receiving some kind of mental health treatment, and as part of that they stopped. Then the recovery could have been from the treatment or it could have been from stopping.
Are you saying I was incorrect for feeling that way?
The reason is that you no longer really know what's going on. (And yes, that feeling would be the same if C++ had as rich a library of packages as python for numerical analysis.)
If you are doing something that requires precision you need to know everything that is happening in that library. Also IIRC, I think not knowing what type something is bothered me at the time.