Hertz' AI System That Scans for "Damage" on Rental Cars Is Turning Into an Epic Disaster
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Oh yay another bullshit thing. No thanks.
It's been around for quite awhile. I use Turo more than I use regular car rental services because you actually get to choose what car you're getting and the prices are better.
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What's different is that most people will see it as "tech stuff" and mentally file it in a drawer with spare extension cords and adapters. They don't care to deeply study or catalog things. Nerds care about that, and most people here, including me, are nerds, but most people are not nerds and consider learning to be a form of torture.
People writ-large don't care about proper genre labels either, they just kinda pick a vibe and guess off of it. Look at all the -core suffixed aesthetic names that cropped up in the last decade.
Yeah, I think it's unfortunate that tech is something people refuse to learn about. I've been able to explain technical topics to less technical people, they just need to care.
For example, I'm into finance, and have been able to explain pretty complex topics (compounding, Social Security benefits, derivatives, etc) to people with no background in a way that they know how things work at a high level. They may not be able to trade options or predict portfolio performance, but they can at least tell if their "financial advisor" knows their stuff.
Learning a bit about key technologies can help cut through the BS from marketing departments. But as soon as I mention something remotely technical, people shut down. If people understood that LLMs basically do keyword association to generate text from a prompt, they wouldn't believe the lies that claim they "think." Just a little bit of high level knowledge would change it from "magic" to a sometimes useful everyday tool.
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Oh, this is a thing. It's called an accountability sink.
There is a really interesting book called the unaccountability machine by Rory Sutherland (if my memory is working). Worth a read
Rory "expert in all things" Sutherland?
He keeps cropping up in my youtube feed talking about a huge range of topics in his confident posh twat voice.
His background is in marketing... never trust a salesman
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If you have more info indicating LLMs are used here please share
two seconds of research would reveal LLMs are ALL OVER COMPUTER VISION. Are convolutional networks used? Yes. Are LLMs used? Yes. And MLLMs.
Tell you what sparky: you find me a source that says ONLY CNNs are used, then you can act like a subject matter expert.
Large Language Models Meet Computer Vision: A Brief Survey
Abstract page for arXiv paper 2311.16673: Large Language Models Meet Computer Vision: A Brief Survey
arXiv.org (arxiv.org)
It's not just words: LLMs in computer vision | Microsoft Community Hub
Discover how LLMS enhanced Azure AI Vision service and unlocked new scenarios, like image generation.
TECHCOMMUNITY.MICROSOFT.COM (techcommunity.microsoft.com)
GitHub - OpenGVLab/VisionLLM: VisionLLM Series
VisionLLM Series. Contribute to OpenGVLab/VisionLLM development by creating an account on GitHub.
GitHub (github.com)
https://www.chooch.com/blog/how-to-integrate-large-language-models-with-computer-vision/
I was actually referring to UVEye which was referenced in the article. I looked into UVEye and nowhere did it say it used LLMs with their computer vision. That’s why I asked if anyone had any info on them using it. The comment I replied to assumed LLMs were used but supplied no evidence. None of the links you shared have anything to do with UVEye either.
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I was actually referring to UVEye which was referenced in the article. I looked into UVEye and nowhere did it say it used LLMs with their computer vision. That’s why I asked if anyone had any info on them using it. The comment I replied to assumed LLMs were used but supplied no evidence. None of the links you shared have anything to do with UVEye either.
Computer vision commonly uses convolutional neural networks on the input,
no where do you specify UVEye.
You could admit they're all over, but instead double down on how I assumed lol
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Computer vision commonly uses convolutional neural networks on the input,
no where do you specify UVEye.
You could admit they're all over, but instead double down on how I assumed lol
Except they are using computer vision, not an LLM
That’s what I initially said, referring to the article. If you have nothing to say regarding the technology in this article that’s fine, but don’t just assume that since there is research of incorporating LLMs into computer vision means it was used in this specific case.
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They know it doesn't work this is just a cash grab by rental car companies hoping to squeeze extra profit knowing most people won't fight it under the guise of digital transformation.
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Except they are using computer vision, not an LLM
That’s what I initially said, referring to the article. If you have nothing to say regarding the technology in this article that’s fine, but don’t just assume that since there is research of incorporating LLMs into computer vision means it was used in this specific case.
If you have more info indicating LLMs are used here please share
so I did. whine about it, but they're used in this field, if not this particular case. you asked, I provided.
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If you think so, then you should argue that point instead of trying to short-circuit the argument by being pedantic about a logical inconsistency.
Can’t argue with monkeys
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It's not solving the problem because it's not being implemented properly. If you take a hammer and smash it into the the medium over and over again instead of hitting the nail, is that the hammer's fault or yours?
It’s your fault
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It’s your fault
Exactly.
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You are spot on here. AI is great for sensitivity (noticing potential issues), but terrible for specivity (giving many false positives).
The issue is how AI is used, not the AI itself. They don't have a human in the checking process. They should use AI scanner to check the car. If it's fine, then you have saved the employee from manually checking, which is a time-consuming process and prone to error.
If the AI spots something, then get an employee to look at the issues highlighted. If it's just a water drop or other false positive, then it should be a one click 'ignore', and the customer goes on their way without charge. If it is genuine, then show the evidence to the customer and discuss charges in person. Company still saves time over a manual check and has much improved accuracy and evidence collection.
They are being greedy by trying to eliminate the employee altogether. This probably doesn't actually save any money, if anything it costs more in dealing with complaints, not to mention the loss of sales due to building a poor image.
AI is great for sensitivity (noticing potential issues), but terrible for specivity (giving many false positives).
AI is not uniqely prone to false positives; in this case, it's being used deliberately to produce them.
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The technology is literally the problem as it’s not working
It works as Hertz intended. And that's the problem.
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It's really funny here. There already exists software that does this stuff. It's existed for quite a while. I personally know a software engineer that works at a company that creates this stuff. It's sold to insurance companies. Hertz version must just totally suck.
It's designed to suck.
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in this case, hertz doesn't rent to who doesn't have a credit card
debit = no rent
debit = no rent
Funny, I rented from Hertz about two weeks ago and there was a big sign at the counter explaining their terms of business for renting with a debit card. And it didn't say "We don't do it."
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debit = no rent
Funny, I rented from Hertz about two weeks ago and there was a big sign at the counter explaining their terms of business for renting with a debit card. And it didn't say "We don't do it."
It's more a case by case situation, not universal. In a place where car thefts are rampant they wouldn't offer that, for example
And the initial deposit is massive
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Rory "expert in all things" Sutherland?
He keeps cropping up in my youtube feed talking about a huge range of topics in his confident posh twat voice.
His background is in marketing... never trust a salesman
Oh, he has some strange views, sure, but he is like that magician that tells everyone how the magic tricks are done, except this is marketing not magic, so both sides don't like him.
