Actually, I think the industry is finally realizing that there is no intelligence there, especially with gpt3 which can figure out with great precision what statistically comes next, but there is zero understanding of the space-time conceptual meaning for gpt3 in that answer - its not designed to do anything but figure out statistically what is most likely to come next.
> Another key piece of evidence, the failure of all FSD attempts trying to use ml/dl thinking its more than just statistics.
I would almost put FSD as a good example here. Yes, some attempts here are very naive and try to use ML as a magic black box tries to covers a long stretch of the system from vision to turning the steering wheel. However the best performers just utilize ML for small well-defined parts of the system and in a "statistics on steroids" way with most of the other parts utilizing much more traditional methods.
Gary Marcus has been doing a good job of exposing this: https://garymarcus.substack.com/
Another key piece of evidence, the failure of all FSD attempts trying to use ml/dl thinking its more than just statistics.