I’ve tried several types of artificial intelligence including Gemini, Microsoft co-pilot, chat GPT. A lot of the times I ask them questions and they get everything wrong. If artificial intelligence doesn’t work why are they trying to make us all use it?

    • @[email protected]OP
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      92 months ago

      I hope someday we can come up with an economic system that is not based purely on profit and the exploitation of human beings. But I don’t know that I’ll live long enough to see it.

    • @[email protected]
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      52 months ago

      That is a very pessimistic and causal explanation, but you’ve got the push right. It’s marketing that pushes I though, not necessarily tech. AI, as we currently see it in use, is a very neat technological development. Even more so it is a scientific development, because it isn’t just some software, it is a intricate mathematical model. It is such a complex model, that we actually have study it how it even works,because we don’t now the finer details.

      It is not a replacement for office workers, it is not the robot revolution and it is not godlike. It is just a mathematical model on a previously unimaginable scale.

      • @[email protected]
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        12 months ago

        Machine learning has many valid applications, and there are some fields genuinely utilizing ML tools to make leaps and bounds in advancements.

        LLMs, aka bullshit generators, which is where a huge majority of corporate AI investment has gone in this latest craze, is one of the poorest. Not to mention the steaming pile of ethical issues with training data.

    • @[email protected]
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      32 months ago

      Very nice writeup. My only critique is the need to “lay off workers to stop inflation.” I have no doubt that some (many?) managers etc… believed that to be the case, but there’s rampant evidence that the spike of inflation we’ve seen over this period was largely due to corporate greed hiking prices, not due to increased costs from hiring too many workers.

    • @[email protected]
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      12 months ago

      We’ve already established that language models just make shit up. There is no need to demonstrate. Bad bot!

    • @[email protected]
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      12 months ago

      I appreciate the candid analysis, but perhaps “nothing to see here” (my paraphrase) is only one part of the story. The other part is that there is genuine innovation and new things within reach that were not possible before. For example, personalized learning–the dream of giving a tutor to each child, so we can overcome Bloom’s 2 Sigma Problem–is far more likely with LLMs in the picture than before. It isn’t a panacea, but it is certainly more useful than cryptocurrency kept promising to be IMO.