• 2 Posts
  • 77 Comments
Joined 1 year ago
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Cake day: June 11th, 2023

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  • Veraticus@lib.lgbttoMemes@lemmy.mlWorld history in a nutshell
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    1 year ago

    Because the people in charge had the equivalent of many degrees in socialism, communism, and Marxism – they had written multiple books on the subject, participated in numerous conferences and lectures, and had spent most of their adult lives practicing and honing these philosophies. Lenin and Stalin believed wholeheartedly they were implementing communism throughout their entire lives and stated so multiple times. So why not call it communism?














  • Veraticus@lib.lgbttoLinux@lemmy.mlWho does flatpak/snap benefit?
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    1 year ago

    It benefits the end-user.

    People do not want to be in dependency resolution hell; where they have three programs that all use different versions of libssl and require them to install all of them properly and point each application to the correct one. Most users have no ability to resolve problems like that. By not bundling, the application developer is forcing them to either try anyway or just not install their software.

    Bundling dependencies with Flatpak or Snap helps the end user at the cost of only a few extra megabytes of space, which most users have in abundance anyway.





  • It’s entirely not irrelevant. Even if you create a program to evolve pong, that was also designed by a human. As a computer programmer you should know that no computer program will just become pong, what an idiotic idea.

    You just keep pivoting away from how you were using words to them meaning something entirely different; this entire argument is worthless. At least LLMs don’t change the definitions of the words they use as they use them.



  • If you truly believe humans are simply autocompletion engines then I just don’t know what to tell you. I think most reasonable people would disagree with you.

    Humans have actual thoughts and emotions; LLMs do not. The neural networks that LLMs use, while based conceptually in biological neural networks, are not biological neural networks. It is not a difference of complexity, but of kind.

    Additionally, no matter how many statistics, CPU power, or data you give an LLM, it will not develop cognition because it is not designed to mimic cognition. It is designed to link words together. It does that and nothing more.

    A dog is more sentient than an LLM in the same way that a human is more sentient than a toaster.