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Posts
2
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2,177
Joined
2 yr. ago

  • Yeah, 40 is just not for me. I rather go 1080p and hopefully get 75+ FPS. It's really hard to go back from that to something as choppy as 40, even 60 feels kinda bad now.

    And yes, I use local LLMs too and 8 GB vram is kinda painful and limiting, though the biggest hurdle is still rocm & python which are an absolute mess. I'd love to get even more than 16 GB but that's usually for the high end segments and gets real pricey real quick.

    Linux and me playing a lot of indie titles is also why I'd still avoid Intel, even if they had something in the upper midrange, but I still would've loved to see some competition in that area because then AMD would have to also deliver with their prices and that'd be good for me.

  • I just can't imagine the extra vram making such a difference in performance that it is enough to play in 1440p, let alone on ultra. I have a 6650 XT, which is slightly slower than the targeted 4060 / 7600 and that thing struggles even in 1080p.

  • As someone with a 6650 XT, which is a little slower than the 6700 or 4060, I doubt the increased vram, which is of course still nice, is enough to push it for 1440p. I struggle even in 1080p in some games, but I guess if you're okay with ~40 FPS then you could go that high.

    Unfortunately, if the 4060 is roughly the target here, that's still far below what I'm interested in, which is more the upper midrange stuff (and I'd love one with 16 GB vram at least).

    At least the price is much more attractive now.

  • You talk about ideas for different characters already, but there's no base for any of this yet as far as I understand? Like, Smash characters all have a standard moveset that they share, there's certain physics, rules, all the menus, the levels, etc. etc. - does any of that even exist yet? I would really not bother with thinking about content like characters when there's 0 features or code yet. You don't just want to hardcode a bunch of characters.

  • they're presenting the idea that some people might be less confused and make different life choices if more people tolerated traditionally-gendered subjects (like clothing and makeup) from anyone without judgement

    The problem is that a gender & sexuality based on a spectrum makes it extremely hard to define things, which is something humans just naturally do and why we ended up with the binary way of it. But if we have a spectrum ranging from masculine to feminine, then we suddenly have not just trans people, but also those who may identify & look like the opposite gender, but don't want to fully transition (i.e. keep their birth sex). You basically have anything in between the two binary categories now, and that is consequently muddy on top of being new and foreign for most people and even often within trans communities. Doesn't help that research on those topics is also still fairly early and definitions can change rather quickly at times, making it hard to keep up with it.

  • Oh, so you don't want an AI government, but an AI voter. That's probably even worse to be honest.

    Won't that be ideal that would mean this LLM inherently knows your choices or belief, aside from the huge increase in processing needed.

    Only if it was trained on me and only me personally. But that would make me what we in German describe as "Gläserner Mensch", gläsern coming from Glas, as in being a transparent person, which is a metaphor used in privacy topics. I'd have to lay myself open to an immense amount of data hording, to create a robot that may or may not decide like I would decide. Aside from the terrible privacy violations & implications that this would entail for every single person, it would also just be a snapshot of current me. Humans change over time. Our experiences and our perception of the world around us forms and changes us, constantly, and with that our decision making.

    But coming back to the privacy issue... We already have huge problems on that front. Companies hoard massive amounts of user data, usually through very thin veiled consent through those little checkbox agreements, or they just do it illegal now when it comes to their LLMs where they tend to just scrape everything on the internet, regardless of consent or copyright infringements. I think the whole LLM topic is one that should go nowhere until we have a globally agreed framework of regulations on how we want to handle those and future technologies. If you make an LLM based on all the data on the internet, then such models should inherently be Free Open Source, including everything that they create. That'd be the only agreeable term in my book. Whether true AI in the future would even rely on data scraping is another topic though.

  • Advances? First we have to actually invent it. Text LLMs are just word prediction and generative models generally are neither intelligent nor have much room to grow at this point. And aside from that, every model is only as good as the training data it was trained on. If you train a model on smut and romance novels, then you have your perfect little eRP model for kinky chats, if you train your model on various programming languages then you have a good coding assistant, if you train your model on Reddit then you have an insufferable racist edgelord who wants to see the world burn. Point being, models are flawed in every sense of the meaning. All their word predictions end up going back to what humans have written in the past. All their word predictions have an inherent randomness to them due to how LLMs work, making them unreliable in their output, which includes even the best and largest models with access to the largest databanks & indexes out there. But the again, the biggest flaw is that they are not actually AI. They have no thoughts on their own, they don't really evaluate things on various factors. They all just still follow their simple programming of mimicking language, without being aware of anything. If you want to have a computer like this run your politics then go right ahead, but you already have to ask yourself, what model do we use? Based on what data - since it is inherently biased? How often can we re-roll / regenerate an answer until we like its outcome? Who has oversight over it? Because ultimately it's that person who is the decision maker. Politicians, for all their flaws, are still intelligent human beings that can be reasoned with. A computer can't be really swayed, not in the classical sense. You can sway a chatbot easily, because they typically use your chat history as context for their own output. This is inherently flawed because it means that the existing chat history will sort of lead the future responses, but it's incredibly limited due to context size requiring such vast amounts of vram / ram and processing power. That's why current models are sort of at their limit, sans some optimizations. You can't just upscale them because their energy requirements grow exponentially faster than their actual text output.

    TLDR: "AI" is just overhyped corporate marketing of something that comes down to word prediction, fueled by sensationalist media scaremongering from people who don't understand how LLMs work. Using them for decision making would just give power to the shadowy person who oversees the model and its flawed bias of its training data.