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  Who knows at this point? There is no shortage of grifters *or* "true believers" so it's hard to say. But having worked with several different LLMs across a variety of use cases, I can say for sure that none of them are being completely honest about their shortcomings. Each model has strengths and weaknesses, all of them have unresolved issues, and all of that stuff is being swept under the rug, with the products being touted as one-size-fits-all problem solvers. Because it's...

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  Exactly. My bet is on "there's a big unsolvable problem and they all know it's going to tank the industry growth rate and they never informed anyone, hoping they could solve it in time" in some form. It's just so on-par with how these companies operate for the most part. And I say that as a proponent of ML (not "AI" aka "LLMs with skills")

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  I think the actual worst thing might be evidence of a widespread unresolvable regression problem in the model design. If the model training is incapable of distinguishing between AI generated data and human generated data, and unable to identify accurate data from large quantities of inaccurate data, and they've known about this the whole time, and they can't figure out how to keep the models up to date with ongoing information gathering without ingesting data into the models that is t...