I work primarily in “classical” AI and have been working with it on-and-off for just under 30 years now. Programmed my first GAs and ANNs in the 90s. I survived Prolog. I’ve had prolonged battles getting entire corporate departments to use the terms “Machine Learning” and “Artificial Intelligence” correctly, understand what they mean, and how to start thinking about them to incorporate them correctly into their work.

Thus why I chose the word “LLM” in my response, not “AI”.

I will admit that I assumed that by “AI” Jimmy Carr was referring to LLMs, as that’s what most people mean these days. I read the TL;DW by @masterspace@lemmy.ca but didn’t watch the original content. If I’m wrong in that assumption and he’s referring to classical AI, not LLMs, I’ll edit my original post.

Ugh, I’m tired of point 2. Yes, LLMs have found a few patterns in large-scale study analyses that humans hadn’t, but they weren’t deep insights and there had been buried hypotheses around them from existing authors, IIRC (too lazy to source).