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Cake day: June 15th, 2023

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  • This phenomenon is primarily due to fears of high repair costs, lack of technical information, and long lead times for replacement parts.

    Vehicles that use batteries as structural elements are more prone to being totaled by insurance companies.

    I think you’re missing what I’m saying here. I’m pointing out that Chinese auto makers don’t have the same processes as more experienced companies. They’re just slinging out cars into foreign markets with almost no extra work.

    Besides, the article didn’t say the cars are “fine”, it quoted someone saying that they’ve seen some cars that would have been fixed quickly if it was a domestic brand because of part availability.


  • I don’t understand why you’re referring to China’s regulations all the time. They are irrelevant.

    I wish they were, but those cars are made in China. There’s a lot that gets looked the other way.

    And someone at Tesla said recently in an interview that they wanted to do a certain thing with the Cybertruck but couldn’t because “we couldn’t get the regulation changed on that one”. (I don’t remember what that specific thing was)

    Aside from the batteries and fake auto-pilot, the non-Cybertruck Tesla’s have a very good track record.








  • You’re introducing an argument as a way to undermine the viewpoint that’s opposite to yours.

    No one said it’s fine “when we do it”. That’s not the point being discussed.

    The other bigger issue here is that these new cars are coming from a region that has a horrendous track record for safety and quality. EVs when done right are still a considerable risk with battery fires, but the ones manufactured in China are much worse for quality and safety. In the next few years, as these cars flood markets around the world, it will be a massive issue.









  • CeeBee@lemmy.worldtoTechnology@lemmy.worldBig Tech Is Faking AI
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    11 months ago

    I worked in the object recognition and computer vision industry for almost a decade. That stuff works. Really well, actually.

    But this checkout thing from Amazon always struck me as odd. It’s the same issue as these “take a photo of your fridge and the system will tell you what you can cook”. It doesn’t work well because items can be hidden in the back.

    The biggest challenge in computer vision is occlusion, followed by resolution (in the context of surveillance cameras, you’re lucky to get 200x200 for smaller objects). They would have had a really hard, if not impossible, time getting clear shots of everything.

    My gut instinct tells me that they had intended to build a huge training set over time using this real-world setup and hope that the sheer amount of training data could help overcome at least some of the issues with occlusion.