• OsrsNeedsF2P@lemmy.ml
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    6 months ago

    As someone who follows the startup space (and is thinking of starting their own, non-AI driven startup), the issue is all of the easily solvable problems have already been solved. The only thing that shakes up the tree is when new tech comes along and makes some of the old problems easy to solve.

    So take a look at crypto - If you wanted to make a tip bot on Telegram, before crypto that was really hard. You needed to register with something like PayPal, have the recipient register with PayPal, etc etc etc. After crypto it was “Hey this person sent you 5$, use this private key if you want to recover it” (btw I made this service and it was used a lot).

    Now look at AI - Imagine making a service that detects CSAM before AI took off. As an aside, I did NOT make this service, but I know a group of people who did. Imagine trying to make this without the AI boom - you’d need millions of images for training data, a PhD in machine learning, and so much more. Now, anyone can make it in their basement.

    The point is, investors KNOW the bubble is a bubble and that it will pop. It doesn’t matter though. They’re looking for people who will solve problems that previously cost 1bln to solve with only 1mln of funding. If even 1% of their companies pay off, they make a profit.

  • brucethemoose@lemmy.world
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    6 months ago

    As a major locally-hosted AI proponent, aka a kind of AI fan, absolutely. I’d wager it’s even worse than crypto, and I hate crypto.

    What I’m kinda hoping happens is that bitnet takes off in the next few months/years, and that running a very smart model on a phone or desktop takes milliwatts… Who’s gonna buy into Sam Altman $7 trillion cloud scheme to burn the Earth when anyone can run models offline on their phones, instead of hitting APIs running on multi-kilowatt servers?

    And ironically it may be a Chinese company like Alibaba that pops the bubble, lol.

  • peopleproblems@lemmy.world
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    6 months ago

    10 to 30? Yeah I think it might be a lot longer than that.

    Somehow everyone keeps glossing over the fact that you have to have enormous amounts of highly curated data to feed the trainer in order to develop a model.

    Curating data for general purposes is incredibly difficult. The big medical research universities have been working on it for at least a decade, and the tools they have developed, while cool, are only useful as tools too a doctor that has learned how to use them. They can speed diagnostics up, they can improve patient outcome. But they cannot replace anything in the medical setting.

    The AI we have is like fancy signal processing at best

    • ContrarianTrail@lemm.ee
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      6 months ago

      LLM’s are not the only type of AI out there. ChatGPT appeared seemingly out of nowhere. Whose to say the next AI system wont do that as well?

      • Vritrahan@lemmy.zip
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        6 months ago

        Anything can happen. We can discover time travel tomorrow. The economy cannot run on wishful thinking.

        • lennivelkant@discuss.tchncs.de
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          6 months ago

          It can! For a while. Isn’t that the nature of speculation and speculative bubbles? Sure, they may pop some day, because we don’t know for sure what’s a bubble and what is a promising market disruption. But a bunch of people make a bunch of money until then, and that’s all that matters.

          • Vritrahan@lemmy.zip
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            6 months ago

            The uncertainty of it is exactly why it shouldn’t suck up as much capital and resources as it is doing.

              • Vritrahan@lemmy.zip
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                6 months ago

                I agree, and the problem is finance capitalism itself. But then it becomes an ideological argument.