This is basically true, but I think they underrate the improvements between GPT-2 and GPT-3. My mental model is, every once in a while these systems degenerate into surreal non sequitur nonsense. GPT-3 just does it a lot less than GPT-2. It still isn’t good enough to consistently answer casual questions in a human way, but the failure rate is going down, and perhaps straightforward improvements like GPT-4 will be abl…
“every once in a while these systems degenerate into surreal non sequitur nonsense.” Exactly as our minds do
This rhetorically obscures the fact that when humans do produce similar stuff, it's a recognized sort of pathology that is obviously distinct from normal functioning.
https://en.wikipedia.org/wiki/Derailment_(thought_disorder)
Example: "I think someone's infiltrated my copies of the cases. We've got to case the joint. I don't believe in joints, but they do hold your body together."
https://en.wikipedia.org/wiki/Word_salad
Whatever the difference between this and normal language, call it "X", and whether or not it's amenable to implementing in software in principle, GPT-3 clearly does not have "X" at all.
Maybe it would be fruitful to fund study of mental/neurological disorders more, just to understand the mind better.