this post was submitted on 17 May 2026
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I think it is so strange people say stuff like this as though there aren’t objective metrics showing it does. We don’t have to like the billionaires using it to subjugate people, or the energy and water consumption, or the theft of copyrighted materials to be honest about the technology.
It does work. As far as ml models go, since backpropagation was implemented in training, transformers have become extremely capable.
Every actual objective metric shows that companies have been using the LLM craze to cover for their layoffs for other reasons. That the dumbasses who did pay for it are spending more than their developer salary budgets for lower quality shit that needs people to fix it anyway, and that employees fucking hate having to use it - because it's shit. People wouldn't be tolenmaxxing to waste their quotas if they thought it was working.
There is definitely some truth to what you’re saying, but my point is that those aren’t conflicting with the technology working. There are many scholarly refereed papers on transformer performance and generational improvement on standardized metrics. I don’t see the value in conflating something working with it being good or ethical. There is a gap between utility and hype, yes. That doesn’t mean it doesn’t work, and the inexorable negativity that comes invariably to comments recognizing this simple truth undercuts actual critical feedback.
LLMs work like LLMs. Sure, in that way they work.
LLMs are not Gen AI. Like they are being sold as. In that way they do NOT work.
If they hadn't pitched these things as the singularity, people would be singing a different tune. But they're at best, a usability interface layer for other things. Not something that needed to be shoved down everyone's throats and spawn thousands of slapdash datacenters