While I largely agree with this blog, I would like to point out one thing that often come up in HN: an inherent weakness or flaw in the current AI architecture that prevent it from widespread adoption. Right now it is either scaling hardware or hallucination. But there can be something deeper that we yet to see in public, for example, the inability to adapt to some specific, but critical, reasoning logic.

I don't see the post address this possibility even though it is very likely. Microsoft promised AI powered Office a while ago and we are still waiting. GPT4 is supposed to be able to look at images and solve problems but we still haven't seen that yet. Something is preventing these big companies from implementing these features and this is supposed to be a solved problem. How can we be sure that there is no serious roadblocks in the future that plunge the field into another AI winter?