Comment on We hate AI because it's everything we hate

• JeremyHuntQW12@lemmy.world ⁨21⁩ ⁨hours⁩ ago

  I wouldn’t really trust Ed Zitron’s math analysis when he gets a very simple thing like “there is no real AI adoption” plainly wrong

  Except he doesn’t say that. the author of this article simply made that up.

  There is a high usage rate (almost entirely ChatGPT btw, despite all the money sunk into AI by others like Google) but its all the free stuff and they are losing bucketloads of money at a rate that is rapidly accelerating.

  but most tech startups run at a loss for a long time before they either turn a profit or get acquired.

  There is no path to profitability.

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  • corbin@infosec.pub ⁨21⁩ ⁨hours⁩ ago

    I wrote the article, Ed said that in the linked blog post: “There Is No Real AI Adoption, Nor Is There Any Significant Revenue - As I wrote earlier in the year, there is really no significant adoption of generative AI services or products.”

    There is a pretty clear path to profitability, or at least much lower losses. A lot more phones, tablets, computers, etc now have GPUs or other hardware optimized for running small LLMs/SLMs, and both the large and small LLMs/SLMs are becoming more efficient. With both of those those happening, a lot of the current uses for AI will move to on-device processing (this is already a thing with Apple Intelligence and Gemini Nano), and the tasks that still need a cloud server will be more efficient and consume less power.

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    • voronaam@lemmy.world ⁨8⁩ ⁨hours⁩ ago

      I agree that this was pure wording on Ed’s side. He meant to point at the lack of adoption for work/business purposes, but failed to articulate this distinction. He is talking about conversion to paid users and how Google cheated to make the adoption of Gemini by corporate users to looks higher than it is. He never meant to talk about the adoption by regular people on the free tier just doing random non-work-related things.

      You were talking about a different adoption metric. You are both right, you are just talking about different kinds of adoption.

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    • 6nk06@sh.itjust.works ⁨9⁩ ⁨hours⁩ ago

      on-device processing

      Oh, when will I get my free phone to do this ?

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    • meowgenau@programming.dev ⁨20⁩ ⁨hours⁩ ago

      a lot of the current uses for AI will move to on-device processing

      How exactly will that make OpenAI and the likes more profitable?! That should be one of the scenarios that will make them less profitable.

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      • corbin@infosec.pub ⁨20⁩ ⁨hours⁩ ago

        If the models are more efficient, the tasks that still need a server will get the same result at a lower cost. OpenAI can also pivot to building more local models and license them to device makers, if it wants.

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