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While there is definite hype and buzz among executives to jump on the bandwagon, from my experience and perspective massive amounts of value to be obtained. We are doing work with LLMs that would have previously taken teams of people to do. Many legitimate uses but overshadowed by the hype.

I think the way the corporates are applying it are not very useful, specifically the Googles and Microsofts of the world. I am overall bullish on the niche applications of LLM though. Google and Microsoft are just throwing it at everything and I don't think much of it is sticking. The Google search experience has definitely downgraded with their AI implementation. Kagi on the flip side has done a much better job imo, it does not get in the way and it is generally answering the question I asked.



And yet after years of the technology it's still "to be obtained" and you aren't naming any specific usecase.


I am bullish in areas outside of RAG/chatbots that gain so much of the hype. Classification, extraction, summarization and similar natural language workflows. My work is net positive but again anecdotal to my corner of the world and the others I interact with. Could be different from your distant side of the world.




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