• 2 Posts
  • 485 Comments
Joined 1 year ago
cake
Cake day: June 15th, 2023

help-circle

  • 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.







  • GrapheneOS isn’t a complete solution, especially if you still use things like Facebook and Whatsapp. Although it is a massive plus to privacy.

    Quick question. I’ve been hesitating with jumping to Graphene for a little while now. The two things that have held me back is losing access to Google Camera and Android Pay (or Google Pay, or Google Wallet, or Android Wallet. Whatever Google’s calling it these days).

    The Google Wallet feature I think has taken care of itself. They pushed an update that requires you to re-authenticate after the initial tap for “security”. Which means half the time the transaction fails and the cashier has to redo the payment process. So I just gave up and have gone back to tapping with my cards directly for the past month.

    So that just leaves the Google Camera. How’s the quality with Graphene?


  • I’ve been hearing about them being wrong fairly frequently, especially on darker skinned people, for a long time now.

    I can guarantee you haven’t. I’ve worked in the FR industry for a decade and I’m up to speed on all the news. There’s a story about a false arrest from FR at most once every 5 or 6 months.

    You don’t see any reports from the millions upon millions of correct detections that happen every single day. You just see the one off failure cases that the cops completely mishandled.

    I’m assuming that of apple because it’s been around for a few years longer than the current AI craze has been going on.

    No it hasn’t. FR systems have been around a lot longer than Apple devices doing FR. The current AI craze is mostly centered around LLMs, object detection and FR systems have been evolving for more than 2 decades.

    We’ve been doing facial recognition for decades now, with purpose built algorithms. It’s not mucb of leap to assume that’s what they’re using.

    Then why would you assume companies doing FR longer than the recent “AI craze” would be doing it with “black boxes”?

    I’m not doing a bunch of research to prove the point.

    At least you proved my point.


  • people with totally different facial structures get identified as the same person all the time with the “AI” facial recognition

    All the time, eh? Gonna need a citation on that. And I’m not talking about just one news article that pops up every six months. And nothing that links back to the UCLA’s 2018 misleading “report”.

    I’m assuming Apple’s software is a purpose built algorithm that detects facial features and compares them, rather than the black box AI where you feed in data and it returns a result.

    You assume a lot here. People have this conception that all FR systems are trained blackbox models. This is true for some systems, but not all.

    The system I worked with, which ranked near the top of the NIST FRVT reports, did not use a trained AI algorithm for matching.



  • But for everyone else who is just trying to live their life, this can be extremely invasive technology.

    Now here’s where I drop what seems like a whataboutism.

    You already have an incredibly invasive system tracking you. It’s the phone in your pocket.

    There’s almost nothing a widespread FR system could do to a person’s privacy that isn’t already covered by phone tracking.

    Edit: and including already existing CCTV systems that have existed for decades now. /edit

    Even assuming a FR system is on every street corner, at best it knows where you are, when you’re there, and maybe who you interact with. That’s basically it. And that will be limited to just the company/org that operates that system.

    Your cellphone tracks where are you, when you’re there, who’s with you, the sites you visit, your chats, when you’re at home/friends place, how long you’re there, can potentially listen to your conversations, activate your camera. On and on.

    On the flip side a FR system can notify stores and places when a previous shoplifter or violent person arrives at the store (not trying to fear monger, just an example) and a cellphone wouldn’t be able to do that.

    The boogyman that everyone sees with FR and privacy doesn’t exist.

    Edit 2: as an example, there was an ad SDK from a number of years ago that when you had an app open that used that SDK it would listen to your microphone and pickup high pitched tones from TV ads to identify which ads were playing nearby or on your TV.

    https://arstechnica.com/tech-policy/2015/11/beware-of-ads-that-use-inaudible-sound-to-link-your-phone-tv-tablet-and-pc/

    https://www.forbes.com/sites/thomasbrewster/2015/11/16/silverpush-ultrasonic-tracking/