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Joined 1 year ago
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Cake day: June 16th, 2023

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  • While I’m not against an anonymous stand for what’s “right”, that really was the tipping point for a lot of changes on 4chan.

    It really fuelled the idea that anonymous should have some sort of goal of justice rather than just doing things “for the lulz”. It normalized the concept of shamelessly bringing your internet culture of choice out into the real world regardless of appropriateness (most of the protests were really just 4chan irl meetups, not really protests).

    The biggest change was the sheer amount of public attention it drew to the site. That brought in a huge influx of new users who didn’t care to conform to the existing board culture (for better or worse). Things changed considerably following all that mess.







  • That’s a combination of too simple/short in your sentences, mixed with too specific jargon with no clarification. It’s dumb as hell that people don’t know stuff like what a server is, but if they don’t you have to abstract it more.

    My go to is some form of: I’m in IT, I do systems administration. I help keep all the things behind the scenes working so that everyone’s stuff works at my workplace. Less of making your email work, more of making everyone’s email work.

    Obviously I work with a hell of a lot more than just email. I’m mostly scripting out custom automation jobs to bridge gaps in the integrations between different systems. But like you said, keep it simple.



  • 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.










  • You’re welcome to your opinion, but I feel the bolded section is distinctly relevant.

    If you want privacy, don’t admit to a crime and tell the cops where to find the evidence. Privacy starts at home with proper OPSEC.

    That’s the story. It has very little to do with the specific crime committed.

    The cops did as the cops do: if they are given a lead, particularly by the perp themselves, they investigate. To not do so would be to not do their job.

    There was no new precedent here. This was not some brand new enforcement of a new law, and the chats were not the definitive evidence in the trial. Cops using Facebook chat transcripts were likewise not something newly established in this case.


    The rest is me emphasizing that this lady was not a martyr, with the jeans comment being the least damning part of it all. Meant as a lead up to the bold.

    She overwhelmingly had the ability to do what she needed to do, safely and legally. That has to mean something. And if it doesn’t mean shit to you, I know for a fact it means something to the people who want to take your reproductive rights away, or to ignore the very real dangers you’re worried about.

    That said this is not the first step down that slope that you’re acting like it is, and it is not some datapoint on a downward trend towards what you are afraid of. This is a intersection of already existing problems that someone thought they could spin for clicks and emotion bait, and it overwhelmingly worked.

    Stay safe, take steps to prevent ending up in that situation, only discuss dangerous shit using safe protocols, and for fuck’s sake don’t tell the cops where the evidence is.