@agilegeoff @ljs Yes, there are some valid use cases for LLMs. The issue is that with such limited scope, the exorbitant costs of running a LLM instance would be quickly rejected by businesses. So, LLM providers must hype up the thing quite a bit to appear competitive.
@ljs @agilegeoff Yes, part of the issue is that LLM providers have successfully externalized their costs. But it's too expensive for what it can do even if you consider only the admitted costs.
@ljs @agilegeoff You say: “But it can't do what is claimed of it.” I can't agree more. It's basically what I'm saying.
IIUC @agilegeoff argues that LLMs can still do at least *something*. And that's somewhat true (although the provided examples seem to be wrong). My point is that this “something” that AI can actually do is not worth it.
@pavel @agilegeoff @ljs I doubt AI is worth replacing humans. Humans are surprisingly efficient for many tasks…
@agilegeoff @pavel No, that's not what I mean. If you're unable to pay attention to anything without a buzzword, read about “model collapse”. Because that's at least somewhat close to my angle.