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Cake day: July 2nd, 2023

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  • Eranziel@lemmy.worldtoScience Memes@mander.xyz[Thread] Mental Math
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    17 days ago

    I mean, that’s easy enough if you’re trying to catch the ball with your face. Usually that’s not the goal, so you’ll be standing slightly to the side or the object is moving toward your stomach. ;)

    Even then, that’s discounting the whole image analysis part of the equation, which your brain does dozens of times per second with incredible accuracy. Your waste bin example would have had to do enough to differentiate the ball from the background, and that definitely qualifies as a complex algorithm.

    ETA: also, closing your hand at the right time does require your brain to know how close the object is, not just that you’ve positioned yourself in its path.


  • I worked on an industrial robot once, and we parked it such that the middle section of the arm was up above the robot and supposed to be level. I could tell from 50 feet away and a glance that it wasn’t, so we checked. It was off by literally 1 degree.

    Degrees are bigger than we think, but also our eyes are incredible instruments.



  • Eranziel@lemmy.worldtoPeople Twitter@sh.itjust.worksNone. Suffer.
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    20 days ago

    Blockchain / NFTs do not solve proof of ownership. Just ask all the people who had their NFTs or crypto stolen or lost in scams.

    In your example, technically title fraud is more difficult because it needs to be done in two places. In reality it becomes far, far easier because you’ve now opened up a gigantic attack surface that you have no control over, and made both systems of verification worth less. If someone manages to compromise either one, there goes your proof of validity. Which one of them is real and which one is fraudulent?







  • You are making it far simpler than it actually is. Recognizing what a thing is is the essential first problem. Is that a child, a ball, a goose, a pothole, or a shadow that the cameras see? It would be absurd and an absolute show stopper if the car stopped for dark shadows.

    We take for granted the vast amount that the human brain does in this problem space. The system has to identify and categorize what it’s seeing, otherwise it’s useless.

    That leads to my actual opinion on the technology, which is that it’s going to be nearly impossible to have fully autonomous cars on roads as we know them. It’s fine if everything is normal, which is most of the time. But software can’t recognize and correctly react to the thousands of novel situations that can happen.

    They should be automating trains instead. (Oh wait, we pretty much did that already.)