This is the technology worth trillions of dollars huh

  • Multiplexer@discuss.tchncs.de
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    11 hours ago

    No, this is Google throwing the cheapest possible shit at you that is barely capable of stringing together 5 coherent sentences and has the reasoning capability of a tapeworm.

    Here is the output of the minimalist open Chinese model Qwen3, that runs locally on my 6 year old mid-end PC:

    The US states that contain the letter "d" (case-insensitive, as state names are typically capitalized) are as follows. I've verified each state name for the presence of the letter "d" in its standard spelling:
    
        Colorado (contains "d" in "Colorado")  
        Delaware (starts with "D")  
        Florida (contains "d" in "Florida")  
        Idaho (contains "d" in "Idaho")  
        Indiana (contains "d" in "Indiana")  
        Maryland (ends with "d" in "Maryland")  
        Nevada (contains "d" in "Nevada")  
        North Dakota (contains "d" in "Dakota")  
        Rhode Island (contains "d" in "Rhode")  
        South Dakota (contains "d" in "Dakota")  
    
    
    Total: 10 states.
    
    • FauxLiving@lemmy.world
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      4 hours ago

      Exactly.

      The model that responds to your search query is designed to be cheap, not accurate. It has to generate an answer to every single search issued to Google. They’re not using high parameter models with reasoning because those would be ruinously expensive.

      • Multiplexer@discuss.tchncs.de
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        6 hours ago

        I didn’t understand your comment, so I asked the same LLM as before.
        It explained it and I think that I get it now. Low-grade middle-school-“Your Mom”-joke, is it? Ha-ha… 🙄

        This also means that AI did better than myself at both tasks I’ve given it today (I found only 9 states with “d” when going over the state-list myself…).

        Whatever. I’m gonna have second lunch now.

        • lemonmelon@lemmy.dbzer0.com
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          10 minutes ago

          A public proclamation of your ineptitude at simple tasks is an interesting way of defending the utility of LLMs.