Debate: Should AI tools be allowed to 'fail fast' or must they be perfect before launch?

Ngl, I spent 3 hours last week trying to get an AI writing assistant to stop making up fake sources for a client report. Three hours. I finally just gave up and fact checked every single link manually. But here's the thing, the company that made it obviously shipped it early knowing it had this problem. Their whole pitch is 'iterate fast, learn from users.' So which side are you on? Do you think AI tools should be released in rough shape so the devs can fix them with real feedback, or should they hold off until they're actually reliable? I'm leaning toward the second one now, but I know a lot of folks in this community love the whole beta-first approach. Has anyone else hit a wall like this with an AI product that just was not ready, and did it change your mind about how companies should roll things out?

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the_jennifer28d ago

Thats a tough spot to be in, and I get why you're frustrated after that three hour mess. But the real issue isnt fast versus perfect, its about being honest about what the tool can actually do. Shipping early is fine if the company tells you the limits up front, not when they let you waste a whole afternoon on fake links.