Use Turo. You can rent basic or fun/interesting cars directly from the owners.

I use an app called GoMore in some places in Europe that allows you to rent cars from other peers. The rental process is cheaper and faster--everything is done through the app--and you avoid these shady corpo practices.

Sometimes it's made with lower quality ingredients at the same factory, sometimes it's equivalent.

I think it's generally a brilliant solution but there are a couple of problems here:

1. The scanner seems to flag fucking everything and charge for minor damage where a human would probably flag it as wear.
2. No one is allowed to correct the scanner:

Perturbed by the apparent mistake, the user tried to speak to employees and managers at the Hertz counter, but none were able to help, and all "pointed fingers at the 'AI scanner.'" They were told to contact customer support — but even that proved futile after representatives claimed they "can’t do anything."

Sounds to me like they're just trying to replace those employees. That's why they won't let them interfere.

Too many people these days don't use or have access to credit cards for services like this. Many people I know only use bank debit cards, or worse, use the debit preloaded cash cards issued by their employers' payroll service provider.

Credit cards motivate banks to help you, because if you won't pay, and the business doesn't pay, the bank has to take the hit.

Debit cards will work as well if your bank values it's reputation - but not all banks do.

And I would not trust a preloaded card provider to assist. You are neither their business partner nor their customer and that puts your interests at the bottom of a very long list. You have to hope some law is on your side or that your issue is so trivial that resolving it is more cost effective then dealing with you.

Virtually any place that accepts a credit card will accept debit cards, too. Actually, most debit cards can be processed as credit cards. The comment you responded to simply highlighted that this trick is much easier to pull with credit card than a debit card, as the creditor hasn't yet been repaid for the credit issued.

Oh, so Hertz has gotten wise to... every online platform that exists: Outsourcing all responsibility for their user-hostile bullshit to some vague "system" that cannot be held accountable.

I'm so sorry but the advertised cost has doubled because... Computer says so! No, sir, there's nothing I can do, sir, you see it's the system.

And you can't go anywhere else, because everyone else is doing it (or soon will be) too!

And what is processing that information?

in this case, hertz doesn't rent to who doesn't have a credit card

debit = no rent

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

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.

Oh, so Hertz has gotten wise to... every online platform that exists: Outsourcing all responsibility for their user-hostile bullshit to some vague "system" that cannot be held accountable.

I'm so sorry but the advertised cost has doubled because... Computer says so! No, sir, there's nothing I can do, sir, you see it's the system.

And you can't go anywhere else, because everyone else is doing it (or soon will be) too!

Computer vision commonly uses convolutional neural networks on the input, which is different from the transformer neural networks used in LLMs. If you have more info indicating LLMs are used here please share

Oh yay another bullshit thing. No thanks.

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.

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

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)

Just a moment...

(medium.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.

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