I expect this to become even bigger when the hype cools down and companies start looking for ROIs.
PS: I obviously talking about model errors (i.e. like use N tokens in a LLM solving a problem by just deleting/deactivating a test), and not end-user mistakes.
EDIT (can't reply): Have you never run a business before?
Dating apps are weird because you can't have repeat customers without failing to deliver. With literally everything else repeat customers are what you want to optimize for. If your AI product fails to deliver your customers can't integrate it into their operations and you'll lose them eventually. That's a disaster.
You can argue if they actually choose to follow it or not, but the objective truth is that the perverse incentive is there.
Hmm, yes?, and I've seen perverse incentives ruin things even when business-client alignment should be clear. Agency problems and stupid execs/investors are a thing.
And honestly, we're leaning into implied ad hominems here ("have you never run a business?"), so I'm not engaging with you anymore.
