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Depending how we define "AI" -

Aside from 4-5 companies, who is building a product that is profitable? Not clear anyone is right now. People are running into fundamental, hard technical problems. For example its hard to evaluate chat interface, and even harder when you augment it with context from a retrieval system (ie RAG).

Who is augmenting existing UI paradigms with LLMs? This seems a more reasonable model that meets users where they want to be.

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> who is building a product that is profitable?

Just my experience from being on the job market, but a lot of places I've interviewed at have traditional ML models (network security, ecommerce, image tagging) that are now rebranding as AI, without much of an actual change.

Logistic regression rebranded as ML now rebranded as AI :)

That's a weird bar to clear. How many companies are offering a search engine that are profitable, "aside from 4-5 companies"?

I don't see any fundamental technical problems at the moment, I see constant and tangible improvement at a very fast pace. I don't think that supposed challenges in context augmentation or chat interface evaluation qualify as arguments against AI hype.

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