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In most cases, LLMs will not replace humans or reduce labor costs as companies hope. They will •increase• labor costs, in the form of tedious clean-up and rebuilding customer trust.
After a brief sugar high in which LLMs rapidly and easily create messes that look like successes, a whole lot of orgs are going to find themselves climbing out of deep holes of their own digging.
Example from @Joshsharp:
https://aus.social/@Joshsharp/112646263257692603
Those who’ve worked in software will immediate recognize the phenomenon of “messes that look like successes.”
One of my old Paulisms is that the real purpose of a whole lot of software processes is to make large-scale failure look like a string of small successes.
The crisp “even an executive can understand it” version of the OP is:
AI increases labor costs
(“Why?” “Because it’s labor-intensive to clean up its messes.”)
@inthehands
Except where the clean-up can be externalised and/or deferred to next quarter?
@sabik
Because, as we all know, next quarter everything is 100% free