@fasterandworse i'll accept any and all empirical evidence in favor or against LLMs, but it just so happens the evidence against them is overwhelmingly convincing.
People *have found uses for them*. It just so happens their usage is usually unethical, given that most modern LLMs are trained on stolen data to begin with. As much as the tool is incredibly inefficient at most things, the things it can do we have had trouble designing tools for previously, and with the current hype surrounding them it's easy for people to blow their usefulness out of proportion without considering the caveats.
Bias in their output is inherent in their construction, from the data they're trained on to the people who program their interfaces to filter the results. LLMs clever enough to trick gullible business owners into "replacing" people have now caused real people to have to brave questionable welfare systems until they can find a new job or change industries. AI used to make professionals' jobs easier ends up deskilling the very professional it was designed to help. Generated images become a hollow replacement for human connection and honing a craft, an opportunity to feel efficacious.
The AI problem isn't inherently a problem about their existence or usage; after all, it's just a dumb tool. But it is largely a problem about the context within which they exist and are being used, which ends up being outrageously inappropriate. In our current world, for each solution, it creates a problem