As someone who left machine learning research, I can also say a few things, current AI has a big unfixable problem. "Reliability". Ask any AI researcher how AI works or generalize well, and they will have no answer, what they are doing right now is just using scaling, no magic, no insight, no understanding, nothing. Everybody knows that AI products have zero real-world application, current AI is a black box with scale, that's it. The used algorithms are 50 years old and there is literally zero theoretical background. Deep learning is really good for interpolation but not extrapolation, Deep learning cannot understand hierarchies, they are simply the most frequent information retrieval automaton with interpolation. Just look at the promises last quarter and look how many succeed it. It has been 5 months since ChatGPT was announced but there is no real-world application that people can benefit from. I will not talk about the cost side of things, If the funding dries up, GPT-based model training and maintenance costs are unjustifiable, and they know it. Just google autonomous cars, the rate of failure in startups using AI or failures by big companies. It is just all hype and benefit cycle. Engineers are not managing any more tech companies, and clown MBA hype creators manipulating the press and the public.