Malicious payloads stored on Ethereum and BNB blockchains are immune to takedowns.
    • finitebanjo@piefed.worldEnglish
      512·
      5 days ago

      I think theres a point where you have to realize the topic of discussion is about LLMs like ChatGPT, and that point was around the time we compared it to Web 3.0, something that people hate and associate with tech bros and evil corporations.

      The meaning of words change based on context.

      • architect@thelemmy.clubEnglish
        11·
        7 hours ago

        Y’all need to understand that AI is coming and is going to replace a lot of things. I don’t know why some of you keep pretending it has no use case. This tech is going to leave you behind if you don’t use it.

        • finitebanjo@piefed.worldEnglish
          1·
          1 hour ago

          LLMs are at a standstill since 2021, I would argue the current models were around in the late 80s they’re just using more compute time now, but it’s being marketed as the future to confuse a billion dopes like you who don’t understand technology. It’s the ultimate ponzi scheme, the companies are making no money but their evaluation keeps rising.

          To clarify, OpenAI wrote a paper proving their model would not reach human output accuracy ever. They proved that the costs of gaining the same level of benefit from GPT3 to GPT4 as GPT2 to GPT3 would cost literally EXPONENTIAL amount of resources, which was proven again in practice when they actually did it a couple of years later. To improve it again would cost more power than mankind currently produces total, but the end result will still be hallucinating liability filled garbage because in 2022 Deepmind proved with LITERALLY INFINITE POWER AND TRAINING DATA that it would not reach human output, that the hard limit didn’t even reach the mid-90s.

          You are arguing with the AI companies and researchers. Ya’ll need to understand that AI, as it is, is a fucking scam.

          The paper from OpenAI: https://arxiv.org/pdf/2001.08361

          The followup paper from DeepMind: https://arxiv.org/pdf/2203.15556

      • Kami@lemmy.dbzer0.comEnglish
        93·
        5 days ago

        There is a point when one can just admit they are wrong, or twist words to convince themselves they were right.