The problem is that people conflate the current wave of transformer based ANNs with AI (as a whole). AI certainly has the potential to disrupt employment of humans. Transformers as they exist today not so much.

AI's potential isn't defined by the potential of the current crop of transformers. However, many people seem to think otherwise and this will be incredibly damaging for AI as a whole once transformer tech investment all but dries out.

It's a recurring phenomena, c.f. "AI winter" and the cycle before and after.

We're too easily fooled by our mistaken models of the problem, it's difficulty, and what constitutes progress, so are perpetually fooled by the latest, greatest "ladder to the moon" effort.

So, you bet on a) transformers can't be a load-bearing part of AI, and b) whatever replaces them will not be able to utilize TPUs. Do you have any reasons for those assumptions?

Looking at your history it's something like "I tried them and they hallucinate" and, possibly, you've read an article that talks about inevitability of hallucinations. Correct? What's your reason for thinking that hallucination rate can't be lowered to or below the human rate ("Damn! What I was thinking about?").