From the article:

“We have a class of products with deterministic cost and stochastic outputs: a built-in unresolved tension. Users insert the coin with certainty, but will be uncertain of whether they'll get back what they expect. This fundamental mismatch between deterministic mental models and probabilistic reality produces frustration — a gap the industry hasn't yet learned to bridge.”

And all the news today around AI being a bubble -

We’re still learning what we can do with these models and how to evaluate them but industry and capitalism forces our hand into building sellable products rapidly

(unrelated) what's the font used for the cursive in the article? the heading is ibm plex serif and the content dm mono, but the cursive font is simply labeled as dm mono which isn't accurate

This seems like an expression of The Bitter Lesson:

https://www.cs.utexas.edu/~eunsol/courses/data/bitter_lesson...

https://news.ycombinator.com/item?id=19393432

I will believe this theory if someone shows me that the ratio of scientists to engineers of leading teams of the leading companies deploying AI products is bigger than 1.

> After decades of technical innovation, the world has (rightfully) developed some anti-bodies to tech hype. Mainstream audiences have become naturally skeptical of big claims of “the world is changing”.

Well, it took about 3 years of non-stop AI hype from the industry and press (and constant ignoring of actual experts) until finally the perception seems to have shifted in recognising it as another bubble. So I wouldn't say any lessons were learned. Get ready for the next bubble when the crypto grifters that moved to "AI" will soon move on the to the NEXT-BIG-THING!