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I'd argue that none of the output is useful, even if some proportion may be factually correct, if you're using LLMs as a decision-making tool.



Show me a decision making system with a 0% error rate!

That's not to say that LLMs are currently a poor fit for many domains (and maybe always will be), but I feel like your general objection would apply to many – and even deterministic – models we've been using for a long time as well.

Or would you say that weather forecasts are completely useless as well?


Mmm but what about copilot. Such a difficult domain to get right and yet people are willing to pay.


If you're using it for tadks like generate templates and fill out boilerplate, they're great.

As long as you arent trying to offload any decision making, LLMs are extremely efficient tools.




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