@whitequark *imperial system enters the chat

yeah, about that...

@nini @dibi58 I would like to see research supporting such an assertion.

I dislike LLMs very much, which I why I don't want to make unsubstantiated claims that can be debunked by LLM supporters, which would discredit any other concern, however valid, that I have with LLMs.

@nini @dibi58 there's an in-between where you still train an LLM but it's more focused, but in essence, yes.

@sherbang @Hex @orange_lux @saxnot @dibi58 I work at a cloud provider and can confirm that running ai isn't as cheap as it sounds.

My take is that most models are so general purpose that they're very inefficient (versatile, yes, but inefficient). Think "sorting an array through a bogo sort" inefficient. LLMs trained for a specific purpose may be more cost-effective to run long term, but that's not the norm.

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@bagder This is the way.