I don't know whether other arguments are true, but some arguments in the end are right:

> Using LLMs for code generation feels like a dead end. ..., This is hostile to your ability to understand your code, beyond the fact that you didn’t write it.

What you get from AI is not worth of what you have invested for it in long period.

> Drawing answers directly from knowledge in model weights leads to hallucination even for multi-trillion-parameter models, so why bother making them that big?

Current AI is like the film company producing TV series or movies. "If similar stories do not exist or details are missing, screenwriters use imagination to fill in the gaps (remember hallucination? It's just a makeup.)", refer to the article https://devcyc.life/current-ai-is-like-the-film-company-prod...