Please explain this in more detail. I don't understand. The level of abstraction seems straightforward, even for an intern. Properly understanding this level of abstraction in context, without lengthy explanations, is a completely different matter. Beginners struggle with this, just as AI systems struggle with it (or rather, it's impossible). Of course, I'm talking about the conceptual, anthological context here, not the previous textual "LLM context".

I read this article when you corrected the link.

I have some solidarity with the author's conclusions and doubts in this article, but he substantiates them with very questionable arguments. That is, he presents not some research, but simply one example where nuances are very important.

HOW did they ask about the plausibility of the tennis video, such that the tennis player said it's not people? Here there's a very big difference - either he would simply be watching tennis and say this, or they asked him "Is this a real game or did artificial intelligence draw it?" This is not some significant research (antiplacebo).

And about the architecture of artificial intelligence systems, the author judges by some very popular-science simplified models. But real models are of course unknown to the general public and are corporate secrets.

The fact that one tennis player pointed to the unrealism of the video doesn't mean he would be able to explain in an artificial intelligence system how to make a realistic video.

"Couples are superior to each other" — here

— the concept of couples and their level of exoskeleton proficiency,

— and the concept of "in what way exactly are they superior to each other?"

They are so diverse that conducting any comprehensive, meaningful research is fundamentally impossible at this time. Such research is only possible in a very, very narrow area.

the link is 404