One problem I see with this is legitimizing LLM-extracted content as canon. The realistic human speech masks the fact that the LLM might be hallucinating or highlighting the wrong parts of a book/paper as important.
[Attention is All You Need - 1:07]
> Voice A: How did the "Attention is All You Need" paper address this sequential processing bottleneck of RNNs?
> Voice B: So, instead of going step-by-step like RNNs, they introduced a model called the Transformer - hence the title.
What title? The paper is entitled "Attention is All You Need".
People are fooling themselves. These are stochastic parrots cosplaying as academics.