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Joined 1 year ago
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Cake day: June 22nd, 2023

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  • The problem with copyright has nothing to do with terms limits. Those exacerbate the problem, but the fundamental problem with copyright and IP law is that it is a system of artificial scarcity where there is no need for one.

    Rather than reward creators when their information is used, we hamfistedly try and prevent others from using that information so that people have to pay them to use it sometimes.

    Capitalism is flat out the wrong system for distributing digital information, because as soon as information is digitized it is effectively infinitely abundant which sends its value to $0.




  • Man this is fucking asinine. No one hates you. Certainly not the actual researchers and engineers building these products.

    Capitalism fucks over everyone who’s not immediately useful. AI is just modelling algorithms after neurons and discovering that that lets us solve a whole new class of fuzzy pattern matching problems.

    The two of them together promises to fuck us over even more because that was one of the main things that we used to be better than computers at, but the solution is not remove the new technology from the equation, it’s to remove the old and broken system of resource allocation that has and continues to fuck us no matter what.








  • You’re really trying yourself in knots to try and blame the big bad corpos and no one else.

    Yes they are shoving it in people’s faces, and when the average person uses their default browser with a default search engine and searches on Bing and it uses AI in addition to a search index they are to blame, but every single user who intentionally seeks out ChatGPT or Copilot is also to blame.

    It’s a new technology, people are going to use it and burn energy with it and then eventually we will make a more efficient version of it as it matures, similar to everything else, including traditional search.








  • Sure, a lot of computing power goes into, say, console gaming, but that’s not what I originally talked about. I talked about data centers training AI models and requiring ever more power and hardware as compared to what we expend on gaming, first of all.

    But they don’t. Right now the GPU powering every console, gaming PC, developer PC, graphic artist, twitch streamer, YouTube recap, etc. consumer far far more power than LLM training.

    And LLM training is still largely being done on GPUs which aren’t designed for it, as opposed to NPUs that can do so more efficiently at the chip level.

    I understand the idea that AI training will always inherently consumer power because you can always train a model on bigger or more data, or train more parameters, but most uses of AI are not training, they’re just users using an existing trained model. Google’s base search infrastructure also took a lot more carbon to build initially than is accounted for when they calculate the carbon cost of an individual search.