TLDR: U.S. AI growth is hitting a wall because the power grid is weak and slow to expand. China has huge surplus power and uses data centers to soak it up. State-led, long-term planning gives China an edge, and the U.S. will fall behind unless it changes.

  • MarxOverflow@lemmygrad.ml
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    7 days ago

    According to more perfect union video I recently watched they will claim success at 100 billion in profit, or roughly 1% of the total annual wages of all U.S. workers. Only a fraction of wages are profits. The A.I. being developed here is anti human.

    The replacement of the work force is made worse by their destruction of homes. The capitalists are attempting to decimate the workplace literally. The sooner this ends the better.

    • Comprehensive49@lemmygrad.mlOP
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      7 days ago

      That is the legal definition of “AGI” used in a contract between OpenAI and Microsoft.

      The real definition of AGI is much worse, and refers to an AI basically equivalent in capability to a human across all domains, allowing it to be copied ad infinitum to replace any and all human labor.

      As much as AGI in the hands of socialists is the best way to reach fully automated luxury communism, in the hands of capitalists, it is also the way to resolve the class conflict forever by killing everyone else and replacing them with robots.

      The book Four Futures explores these 2 possibilities further.

      • Kultronx@lemmygrad.ml
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        6 days ago

        I’m no expert, but reading/listening to stuff by Ed Zitron and Paris Marx, I’m extremely skeptical that anything remotely resembling AGI will be made in my lifetime, these LLMs are mostly a party trick that can’t replicate good work or judgement. If anything, these techbros are fanning the flames of the hype simply to get more funding.

        • ☆ Yσɠƚԋσʂ ☆@lemmygrad.ml
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          6 days ago

          The whole AGI discussion is deeply misguided in my opinion. What we’ll actually see is a gradual increase in capabilities of AI system across different domains. While LLMs get most of the attention right now, they’re far from the only technique we know about, and people are already combining many different approaches together. For example, you have stuff like neurosymbolic systems where LLMs are used for classifying noisy input data, and a symbolic logic engine is used to reason about it. We’re also seeing a move towards world models as the basis for reasoning systems, and I think that’s where you start getting the ability to do genuine judgements. A system which has an internal persistent model of the world can reason about it in a similar way to a human.

          In my opinion, it is highly likely we will be seeing automation replacing much of the labour that can only be done by humans within a few decades. However, I also expect that this will be happening in China where there’s actual industry to automate.

          I very much agree with the points Alibaba cloud founder makes in this interview https://www.youtube.com/watch?v=X0PaVrpFD14