• Susaga@sh.itjust.works
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    4 days ago

    It’s amusing to me how long people have been saying “yes, AI is crap, but it might not be crap some day, so just you wait!” Despite all the money tech companies have thrown at AI, it’s still as crap as it ever was, and I don’t see any reason to think it’ll get better.

    Meanwhile, Crunchyroll doesn’t care if it’s crap, so long as they can get around the cost of paying humans (which is another can of worms). If they’re willing to buy this level of quality, what incentive is there for quality to improve?

    • molave@reddthat.com
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      3 days ago

      yes, AI is crap, but it might not be crap some day, so just you wait!”

      I mean, there’s a gap between the capabilities of Cleverbot and ChatGPT, as referenced in this very comments section. As much as one wishes it not be so, it would be foolish to ignore past technological leaps—and how people back then laugh them off as impossible.

      • Susaga@sh.itjust.works
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        3 days ago

        I don’t see any significant differences between ChatGPT and Cleverbot, if I’m honest. It might have a wider array of responses to pick between, but it’s still making the same mistakes.

        It would be foolish to ignore past tech bubbles, and how people back then claimed they’d fix all their problems in the near future and you need to jump on now or you won’t survive (and how none of them survived).

        • molave@reddthat.com
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          3 days ago

          Unlike Cleverbot, you can add your project-specific context in ChatGPT. That was extremely helpful in my creative writing process as I use it as a virtual assistant.

          It would be foolish to ignore past tech bubbles, and how people back then claimed they’d fix all their problems in the near future and you need to jump on now or you won’t survive (and how none of them survived).

          While largely true, that none of them survived is false. Amazon is a survivor of the dotcom bubble. Pets.com died, but Chewy perfected the concept later on. Circling back to the topic, if/when the bubble bursts, we could be talking about 90% of the AI-centric companies going under, give a decade or so, a “stabilized” form of AI dubbing could resurface and establish a long-lasting presence.