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Joined 1 year ago
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Cake day: July 1st, 2023

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  • Not sure why you’re being downvoted. Gaming PC’s are expensive and a luxury! It makes sense economically. With consoles there’s an incentive to sell hardware cheap to get people into the ecosystem. With the exception of the steamdeck, there’s no such incentive for PC’s: if the hardware is worth x amount, you can bet your ass you’ll have to pay at least that. Yeah games are generally cheaper on PC, but not by much, and the barrier to entry is much lower for consoles. Hell, the PC I just built from used parts and Amazon deals cost me $800 (not including accessories), and while the processor and ram is almost certainly better than the ps5’s, the graphics are about on par, if anything slightly worse. You can find used ps5’s for less than $400. Is there really a used PC out there that can touch that?






  • 0ops@lemm.eetoGaming@lemmy.mlClassic Microsoft
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    6 months ago

    Go into desktop mode, there’s a bedrock launcher in the package manager store thing, I forgot the names of both of those things, but search “Minecraft” and you should find it. Anyway, it basically loads the Android version of the game. It works pretty well. I play bedrock because everyone I play with is on Xbox








  • Same! I’ve been playing since it came out, and Pubg mobile’s control scheme is honestly so innovative. I’m glad that other mobile fps have been following suit. I can look you dead in the eye and say that I’d rather play pubg on my phone with gyro always on than on console with without gyro every single time, without question. When you get good at it, it’s legitimately as good as a mouse.



  • You’re right, it’s very much context dependent, and I appreciate your incite on how this clash between psychology and computer science muddies the terms. As a CS guy myself who’s just dipping my toes into NN’s, I lean toward the psychology definition, where intelligence is measured by behavior.

    In an artificial neural network, the algorithms that wrangle data and build a model aren’t really what makes the decisions, they just build out the “body” (model, generator functions) and “environment” (data format), so to speak. If anything that code is more comparable to DNA than any state of mind. Training on data is where the knowledge comes from, and by making connections the model can “reason” a good answer with the correlations it found. Those processes are vague enough that I don’t feel comfortable calling them algorithms, though. It’s pretty divorced from cold, hard code.


  • AI knows nothing and are just dumb correlation engines

    Here’s a thought exercise, how do you “know”? How do you know your pet? LLMs like gpt can “know” about a dog in terms of words, because that’s what they “sense”, that’s how they interact with their “environment”. They understand words and how they relate to other words, basically words are their entire environment.

    Now, can you describe how you know your dog without your senses, or anything derived from your senses? Remember, chemical receptors are “senses” too.

    I remember reading about this awhile back but I don’t have the link on me: Did you know that people who were born blind but have their vision repaired years later don’t immediately know what “pointy” looks like? They never formed that correlation between the feeling of pointy and the visual of pointy the way that they could with the feeling and the word.

    My point is, we’re correlation machines too