• 3 Posts
  • 510 Comments
Joined 1 year ago
cake
Cake day: June 16th, 2023

help-circle






  • Wow.

    They clearly care more about propety damage than people. Here’s an aside on why property damage in America is often damage to people (local business owners). But they totally only care about property.

    My guy, there are significant, demonstrable, and studied long term negative effects on communities (problems that directly effect the people living there) due to property damage from protests. You’re right that it stems from a lack of support structures, but that cause doesn’t change the bad it does to communities and the people in them. It disproportianately effects the poor as well, as those with the means tend to flee areas where propery destruction/rioting/looting occured, which takes money out of the local area, which snowballs until a once thriving community is now a food desert with no businesses or services available for the residents.

    Yeah, fuck the big businesses. Fuck the 1%. But don’t cut off vital services from a community by driving all of them out. Go make an actual statement and go after the owners. Go after the HQs. Go to the executives’ and politicians’ homes and where they actually work and spend time.

    See how quick the police respond to people destroying inner city businesses vs a peaceful crowd in the street in front of Maxine Water’s house, and then tell me which is more important to the rich (and therefore far less damaging to the poor).

    If you’re going to risk getting riot equipment used on you, pick more valuable fucking targets.





  • So for those not familar with machine learning, which was the practical business use case for “AI” before LLMs took the world by storm, that is what they are describing as reinforcement learning. Both are valid terms for it.

    It’s how you can make an AI that plays Mario Kart. You establish goals that grant points, stuff to avoid that loses points, and what actions it can take each “step”. Then you give it the first frame of a Mario Kart race, have it try literally every input it can put in that frame, then evaluate the change in points that results. You branch out from that collection of “frame 2s” and do the same thing again and again, checking more and more possible future states.

    At some point you use certain rules to eliminate certain branches on this tree of potential future states, like discarding branches where it’s driving backwards. That way you can start opptimizing towards the options at any given time that get the most points im the end. Keep the amount of options being evaluated to an amount you can push through your hardware.

    Eventually you try enough things enough times that you can pretty consistently use the data you gathered to make the best choice on any given frame.

    The jank comes from how the points are configured. Like AI for a delivery robot could prioritize jumping off balconies if it prioritizes speed over self preservation.

    Some of these pitfalls are easy to create rules around for training. Others are far more subtle and difficult to work around.

    Some people in the video game TAS community (custom building a frame by frame list of the inputs needed to beat a game as fast as possible, human limits be damned) are already using this in limited capacities to automate testing approaches to particularly challenging sections of gameplay.

    So it ends up coming down to complexity. Making an AI to play Pacman is relatively simple. There are only 4 options every step, the direction the joystick is held. So you have 4n states to keep track of, where n is the number of steps forward you want to look.

    Trying to do that with language, and arguing that you can get reliable results with any kind of consistency, is blowing smoke. They can’t even clearly state what outcomes they are optimizing for with their “reward” function. God only knows what edge cases they’ve overlooked.


    My complete out of my ass guess is that they did some analysis on response to previous gpt output, tried to distinguish between positive and negative responses (or at least distinguish against responses indicating that it was incorrect). They then used that as some sort of positive/negative points heuristic.

    People have been speculating for a while that you could do that, crank up the “randomness”, have it generate multiple responses behind the scenes and then pit those “pre-responses” against each other and use that criteria to choose the best option of the “pre-responses”. They could even A/B test the responses over multiple users, and use the user responses as further “positive/negative points” reinforcement to feed back into it in a giant loop.

    Again, completely pulled from my ass. Take with a boulder of salt.



  • Most people don’t want their kids eating slop all the time.

    Beyond that Minecraft is a considerably old game now, especially if you got into it in the very early days. It shouldn’t be surprising that there are older people paying attention to this.

    I was in notch’s old threads on /v/ in the very beginning back as a young teen (yes 4chan, I was totally 18 years old, pinky swear). I’m in my 30s and have a kid now who is too young to play, but I will probably introduce her at an appropriate age if she likes computer games.

    I’m not raging or anything, but I’m definitely paying attention enough to know if this movie is garbage to steer my kid away from in the future.








  • wizardbeard@lemmy.dbzer0.comtomemes@lemmy.worldLet's make it identical
    link
    fedilink
    English
    arrow-up
    3
    arrow-down
    2
    ·
    8 days ago

    I’ll give you that, but it seems to me that you must not have been around for the surge of iPhone bootlegs earlier in the smartphone era.

    Lock screen, default background, fonts, literal stolen icons (not just stupidly similar ones), Chrome labelled as Safari, etc.

    Settings panel design and especially the icon are super minor.

    Hell, what about new Samsungs disabling the App drawer by default and tossing all apps on the home screen?