@orange_lux @saxnot @dibi58 @karl llms are useful for NLP. Inference is actually relatively cheap, it's the training that's really expensive and resource intensive. We've probably already maxed out LLM capabilities, so most of this training is not useful. Companies keep training because they need to convince investors that infinite growth is possible. What actual gains are being made are coming from architectural changes, not from training.

Basically, "AI data centers" should not exist. Local models can do everything that's needed. If we need to train new models, those need to be balanced against climate goals (basically, don't fucking do it). And LLMs should be removed from basically everything they've been shoved into recently.

If you don't know why LLMs are useful, you shouldn't have to interact with LLMs. Even some of the places where they are useful, they can be used to construct cheaper models.

There are a few things, like correlation across huge data sets, that they're useful for. But even then, simple encoding can give you semantic search, where inference is not necessary or only provides minimal additional benefit.

Yeah, basically, 95-99% reduction in cars and AI. It's basically the same thing.

@orange_lux @dibi58 @karl same we use CNN, RNN, ... etc
LMM is just another useful helpful machine learning type.

in contrast: blockchain was useless from the start.
LLM is boring tech blown into weird proportions due to greed, capitalism, tech-oligarchy, etc.

@orange_lux @dibi58 @karl technically we don't "need" anything
are llm a useful tech with pros ans cons?
aee gasoline engines a useful tech with pros ans cons?
are paperweighr a useful tech with pros ans cons?

but there is no "AI"
no A(G)I was ever invented
the media around llm is detached from reality, frentic, toxic and more positive than the reality warrants

@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.