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Joined 2 years ago
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Cake day: June 13th, 2024

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  • Thanks for the reply.

    I’m definitely keeping Arch on my PC, I was just wondering what is the best way to use it for both desktop and couch gaming. I do have an old steam link I could potentially use, but I don’t know how that would really work. (I think I’d need to keep my PC running 24/7 for a seamless experience), but otherwise I was thinking I’d probably use the compute stick or Pi as the HTPC and stream games from the PC, but again that sounds a bit clunky to me, although I could at least watch stuff without the main PC on. Thoughts?

    My other takeaways from your reply are that:

    • It’s a good idea to separate out home assistant from everything else

    • Network stuff doesn’t have to be separate

    I’ll also research using cloud DNS instead.




  • It’s using information from multiple frames, as well as motion vectors, so it’s not just blind guesses.

    And no, it’s not as good as a ‘ground truth’ image, but that’s not what it’s competing against. FXAA and SMAA don’t look great, and MSAA has a big performance penalty while still not eliminating aliasing. And I think DLSS quality looks pretty damn good. If you want something closer to perfect, there’s DLAA, which is comparable to SSAA, without nuking your framerate. DLSS can match or exceed visual fidelity at every level, while offering much better performance.

    Frame gen seems like much more of a mixed bag, but I think it’s still good to have the option. I haven’t tried it personally, but I could see it being nice in single player games to go from 60 -> 240 fps, even if there’s some artifacting. I think latency would become an issue at lower framerates, but I don’t really consider 30 fps to be playable anyway, at least for first person games.

    And yes, it has been used to excuse poor optimization, but so have general hardware improvements. That’s an entirely separate issue, and doesn’t mean that upscaling is bad.

    Also I think Nvidia is a pretty anti-consumer company, but that mostly has to do with business stuff like pricing. Their tech is quite good.




  • Well, it falls apart pretty easily. LLMs are notoriously bad at math. And even if it was accurate consistently, it’s not exactly efficient, when a calculator from the 80s can do the same thing.

    We have setups where LLMs can call external functions, but I think it would be cool and useful to be able to replace certain internal processes.

    As a side note though, while I don’t think that it’s a “true” thought process, I do think there’s a lot of similarity with LLMs and the human subconscious. A lot of LLM behaviour reminds me of split brain patients.

    And as for the math aspect, it does seem like it does math very similarly to us. Studies show that we think of small numbers as discrete quantities, but big numbers in terms of relative size, which seems like exactly what this model is doing.

    I just don’t think it’s a particularly good way of doing mental math. Natural intuition in humans and gradient descent in LLMs both seem to create layered heuristics that can become pretty much arbitrarily complex, but it still makes more sense to follow an exact algorithm for some things.


  • I considered this, and I think it depends mostly on ownership and means of production.

    Even in the scenario where everyone has access to superhuman models, that would still lead to labor being devalued. When combined with robotics and other forms of automation, the capitalist class will no longer need workers, and large parts of the economy would disappear. That would create a two tiered society, where those with resources become incredibly wealthy and powerful, and those without have no ability to do much of anything, and would likely revert to an agricultural society (assuming access to land), or just propped up with something like UBI.

    Basically, I don’t see how it would lead to any form of communism on its own. It would still require a revolution. That being said, I do think AGI could absolutely be a pillar of a post capitalist utopia, I just don’t think it will do much to get us there.



  • Depends on what we mean by “AI”.

    Machine learning? It’s already had a huge effect, drug discovery alone is transformative.

    LLMs and the like? Yeah I’m not sure how positive these are. I don’t think they’ve actually been all that impactful so far.

    Once we have true machine intelligence, then we have the potential for great improvements in daily life and society, but that entirely depends on how it will be used.

    It could be a bridge to post-scarcity, but under capitalism it’s much more likely it will erode the working class further and exacerbate inequality.


  • The flip style ones are pretty useless other than getting a preview on the main cameras.

    The fold style, especially a trifold, seems pretty useful, and lets you basically carry around a decent size tablet in your pocket.

    I definitely wouldn’t call it a gimmick, although the price and durability tradeoffs are nowhere near worth it for 99% of people.