this post was submitted on 29 Jul 2025
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Do you hold everything to such a standard?
Stop lights are meant to direct traffic. If someone runs a red light, is the technology not working as it should?
The technology here, using computer vision to automatically flag potential damage, needed to be implemented alongside human supervision - an employee should be able to walk by the car, see that the flagged damage doesn't actually exist, and override the algorithm.
The technology itself isn't bad, it's how hertz is using it that is.
I believe the unfortunate miscommunication here is that when @Ulrich@feddit.org said the solution was brilliant, they were referring to the technology as the "solution", and others are referring to the implementation as a whole as the "solution"
Stop light analogy is completely unequivocal
You’re admitting the technology is in fact flawed if you think it needed to be implemented with supervision. An uno reverse is, every set of traffic lights needs a traffic controller to stop drivers running red lights. Unequivocal, right?
Just stop because you’re wrong, lol
You're absolutely right. The technology isn't perfect if it needs to be implemented with supervision, but it can be good enough to have a role in everyday society.
Great examples are self checkout lanes, where there's always an employee watching, and speed cameras, which always have an officer reviewing and signing off on tickets.
Traffic lights are meant to direct traffic. Yet you don't expect them to prevent folks from running red lights. Folks don't expect them to, because that's not their role in their implementation - they are meant to be used alongside folks who will enforce traffic laws, and, maybe in fact, traffic controllers. This is arguably an example of an implementation done right.
This technology is meant to flag car damage. If there was a correct implementation, I would be able to say "folks don't expect them to be perfect, because that's not their role in their implementation - they are meant to be used alongside employees trained to verify damage exists, who can correct the algorithm if needed", but the implementation in this case is sadly bad.
At the end of the day, you will never have a "perfect" computer vision algorithm. But you can have many "good enough" ones, depending on how they're implemented.
Nah
Welp, as a wise person once said, you can't argue with monkeys.
Have a good evening.
Thanks