• 8 Posts
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Joined 3 years ago
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Cake day: July 9th, 2023

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  • If it’s a Windows game, it’s still possible to play them via tools like Lutris and Bottles. Sometimes you can just double click the .exe file, and Wine will auto-generate a prefix (i.e. directory where an instance of Wine is stored), and you can play it.

    Also, virtually all games are real games. Indie games do not “run on anything,” and most indie devs do not target multi-platform support, as that takes extra knowledge and effort. What makes it so Linux can run just about any game is a bunch of dedicated global volunteers who were somewhat recently given a leg up by Valve’s Proton.

    The only thing she’d have problems with is games that use kernel-anticheat.

    Check https://protondb.com/ to see if your games will run and/or what small tweaks you might need.





  • A relatively small company can’t afford to fight a protracted legal battle or simply ignore the law. They have employees with families, and $800/hr for legal representation adds up fast, not to mention potentially getting hit with $6500 fines per infraction for refusal to comply. They also can’t afford to just not sell in California, which has a huge chunk of the US population.

    We don’t have to be happy about the state of things, but it’s not their fault that capitalism and authoritarianism have effectively forced them to comply.

    Be upset by all means, but remember to focus your anger upon those who actually put/is putting these laws in place.



  • I know what you’re trying to say, and I’m inclined to agree on some level, but unlike the days of the dotcom bubble, there’s people who recognize what these systems represent and are doing things to counter their effects. To use your examples, AWS and Cloudflare are so prolific, because they were allowed to be without any meaningful resistance in their early stages.

    Thankfully, we are still in the early stages, and even with all the widespread use by consumers and businesses, generative AI still isn’t profitable. There’s resistance to their efforts by regular people and those with platforms, so I’m less inclined to think of these systems as inevitable; even if they are, I don’t think they’ll be the only option.



  • Yes, I do. My reasoning is twofold:

    • Existing tools rely greatly upon data generated by humans. Reddit in particular has been noted as a large source of training data for LLMs, and I believe Stack Overflow has as well. If people start to rely heavily upon LLMs, their training data gets stale. AI companies have tried to shore up these shortcomings by training on other AI generated datasets, but that is precisely how hallucinations happen.
      • Essentially, LLMs as sold by the tech bros are an ouroboros. They will stall without fresh and unique human input.
    • LLM usage does not reinforce learning. You can produce code, maybe even quickly, but the skills needed to produce good code are ones you have to maintain with practice. If LLMs were to become the defacto coding tool used by nearly everyone, I expect we’d lose the ability to maintain those very models within a generation.
      • tldr: LLMs make people stupid.

    I agree that they’re not fully going away, but the Boomers and Gen Xers who are trying to shoehorn AI into everything don’t actually understand what it is they’ve bought into, and if things continue as they are, tech bro AI will eat itself, leaving the bespoke ML models to do actually useful things in areas like science and medicine.



  • Accidental success. However, having functional code is far from having efficient code or rock-solid code. A yaml file is pretty low-stakes for an LLM, but what about mission critical C code? Code that needs to be cryptographically sound? Code that needs to be able to handle very unique inputs or interface with code written by others?

    You might be able to glance at a yaml file to get the gist, but you would be foolish to trust an LLM to do anything more complex.