• mabeledo@lemmy.world
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    11 hours ago

    Text search is what Yahoo and Ask Jeeves did. Then Google improved on it by adding algorithmic search.

    There’s no such thing as “algorithmic search”. I don’t know where you got that term from, but again, not a thing. What Larry Page came up with was Pagerank, which is a ranking algorithm.

    I bring up accuracy because its not 100% accurate. But if it works 85- 90 percent of the time, which it currently does according to benchmarks, that’s more efficient than Text search even accounting for times you need to adjust

    Citation needed. Where have you seen those numbers? Because there isn’t a single LLM out there that scores above 75% in publicly available benchmarks, for any given task. Meaning that there isn’t a LLM that does any benchmarked task with an accuracy above 75%, see https://llm-stats.com/

    And no its not as cost efficient, but again I dont care as the end user because its not mycost.

    Right. What do you think it’s going to happen here in the near future? That companies like Google are going to absorb the costs without passing them to customers at all, ever? Let’s say that they don’t, because they are for profit companies after all, what’s your plan? Signing up for a couple dozen free accounts to keep using them and become sort of a “LLM vagrant”?

    But let’s say they don’t charge you ever. How do you think they are going to profit from you? Currently we know, they track your every move, you essentially pay with your privacy. Or you think they won’t? That they will forever lose money?

    I guess the part I don’t understand here is that you must know that all these companies make money from their users, one way or another, and still you believe you aren’t paying for any of it. Are you ok with how they make that money, then?

    • Sabrinamycarpet@sh.itjust.works
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      1 hour ago

      There’s no such thing as “algorithmic search”

      What Larry Page came up with was Pagerank, which is a ranking algorithm.

      Bro…

      Meaning that there isn’t a LLM that does any benchmarked task with an accuracy above 75%, see https://llm-stats.com/

      Tell me what you are seeing. This page you linked shows all top models for AI research at above 80% and the top ones at 90%.

      Here is an April article stating Gemini AI summary at 90%. https://www.nytimes.com/2026/04/07/technology/google-ai-overviews-accuracy.html

      And keep on mind these benchmarks will use more complex searches than what people use normally.

      75% sounds like 2025, but let’s say that is the the number we both agree to. That’s still useful enough most of the time that you wouldn’t scroll or search further. AND it requires you to take the stance that technology remains at a standstill and never improves over time. Let me ask you this. 1 year ago reddit and lemmy had plenty of posts showing awful and memey AI summary and search results. Where are those posts now?

      Finally the money part. I point you to Youtube. A company that was never , got bought out and still remains free* to this day. Is it enshittified from before? Yes. But its still not withdrawing a dime from my bank account.

      I guess the part I don’t understand here is that you must know that all these companies make money from their users, one way or another, and still you believe you aren’t paying for any of it. Are you ok with how they make that money, then?

      I am perfectly aware of the situation. But i don’t have a doomerism view on it that a lot of you share. If we never shared our any of our data,

      1. We would not have these services most likely. Where do you think traffic and routing data comes from when you use Google Maps? Do you think the average person would prefer paying some company for GPS, and worse everything experience? Would the average person pay monthly for something like a 100 MB email mailbox?

      2. For that reason I’m more ok trading data for service. Most of the time that data use is for monetary purposes which motivates the company to also improve said service (to a point).

      That said I fully support more regulation to the industry on how data is handled in general.