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Joined 2 年前
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Cake day: 2023年7月4日

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  • What does that add to the statement in the post? There are hundreds of thousands of such examples.

    It doesn’t change the statement: writers, artists, and all other creative professions are now in a much worse position than they have been ever before - and yes, disproportionate pay for even extraordinary achievements has always been been the case historically for these very important people. But with LLMs we have reached the point where it’s not even enough for a dream scenario. There is no business model for this anymore.

    There is no longer any money to be made because consumers do not pay for quality, but for mass and free content. The best example of this is the decline of journalism, which had always been financed mainly by advertising - this has not worked for twenty years because Google and social media platforms have completely taken over this business, which is why there is no longer any serious journalism today. It can no longer be financed because consumers cannot cover the costs, even if they wanted to, which is the case at all.















  • Thank you, I really appreciate that.

    Figures and/or examples would be very interesting for:

    1. The statement that LLMs will continue to develop rapidly and/or that their output will still improve significantly in quality. I currently assume that development will slow down considerably—for example, with regard to hallucinations, where it was assumed for some time that the problem could be solved by more extensive training data, but this has proven to be a dead end.

    2. The statement that the value of the companies involved can be justified in any way with real-world assets. Or, at any rate, reliable statements about how existing or planned data centers built for this purpose can be operated economically despite their considerable running costs.

    3. How you justify your statement that it would be realistic to replace human workers on a large scale. Examples where this is the case would be interesting (by this I don’t mean figures on where workers have been laid off, but examples of companies where human work has been (successfully) made obsolete by LLMs – I am not aware of any such examples where this has happened in a significant way and attributable to the use of LLMs).

    4. I am aware that the technology is being used in warfare. I am not aware of its significance or the tactical advantages it is supposed to offer. Please provide examples of what you mean.



  • Do you have any sources that cite figures that would suggest this? To be honest, I have my doubts—except for the statement that money is being shifted back and forth; however, I don’t understand why massive investments in data centers would make sense in this context if it’s not just making a profit for Nvidia and such.

    As I said, I don’t consider LLMs and image generation to be technologies without use cases. I’m simply saying that the impact of these technologies is being significantly and very deliberately overestimated. Take so-called AI agents, for example: they’re a practical thing, but miles away from how they’re being sold.

    Furthermore, even Open AI is very far from being in the black, and I consider it highly doubtful that this will ever be possible given the considerable costs involved. In my opinion, the only option would be to focus on marketing opportunities, which is the business model of the classic Google search engine—but this would have a very negative impact on user value.