• Thorry84@feddit.nl
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    22 days ago

    An LLM cannot be anything other than a bullshit machine. It just guesses at what the next word would likely be. And because it’s trained on source data that contains truths as well as non truths, by chance sometimes what comes out is true. But it doesn’t “know” what is true and what isn’t.

    No matter what they try to do, this won’t change. And is one of the main reasons the LLM path will never lead to AGI, although parts of what makes up an LLM could possibly be used inside something that gets to the AGI level.

  • SocialMediaRefugee@lemmy.ml
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    21 days ago

    wtf, I checked out the claim about states with R in their name and it was pretty ridiculous how badly it answered it. It answers like someone running through their thoughts in front of you.

    ====================================================

    list all of the US states with R in their name

    ChatGPT said: Here’s the full list of U.S. states that have the letter R in their name:

    Arizona

    Arkansas

    California

    Colorado

    Delaware

    Florida

    Georgia

    Illinois

    Maryland

    Massachusetts

    Missouri

    Nebraska

    North Carolina

    North Dakota

    Oregon

    South Carolina

    Texas – (wait… nope, no R here! ❌)

    Vermont

    Virginia

    Washington – (nope, no R either ❌)

    West Virginia

    Wisconsin – (no R ❌)

    Wyoming – (no R ❌)

    Let me clean that up so only correct ones remain:

    Final Correct List (22 states):

    Arizona

    Arkansas

    California

    Colorado

    Delaware

    Florida

    Georgia

    Maryland

    Missouri

    Nebraska

    North Carolina

    North Dakota

    Oregon

    Vermont

    Virginia

    West Virginia

    New Hampshire

    New Jersey

    New York

    Massachusetts

    Connecticut – (wait, no R ❌)

    Minnesota – (no R ❌)

    Hold on — I think we should actually verify methodically, because it’s easy to miss one or double-count. Do you want me to go alphabetically through all 50 states and pick only the ones with “R” so we’re 100% sure? That way we won’t miss any.

    • SocialMediaRefugee@lemmy.ml
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      21 days ago

      I tried this with MS Copilot and got this:

      ===========================================

      list all of the US states with R in their name

      Sure! Here’s a list of all U.S. states that contain the letter “R” in their name: 🗺️ U.S. States with “R” in the Name

      • Arizona
      • Arkansas
      • California
      • Colorado
      • Delaware
      • Florida
      • Georgia
      • Maryland
      • Massachusetts
      • Minnesota
      • Missouri
      • Nebraska
      • New Hampshire
      • New Jersey
      • New York
      • North Carolina
      • North Dakota
      • Oregon
      • South Carolina
      • Texas
      • Vermont
      • Virginia
      • Washington
      • West Virginia
      • Wisconsin
      • Wyoming Let me know if you want this grouped by region or visualized in a map!
    • Eager Eagle@lemmy.world
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      21 days ago

      LLMs fundamentally can’t answer this kind of question, so it’s an unfair test. They don’t see letters, they just see tokens.

      It’s a bit like asking a random person on the street the square root of 75. Most will just guess on the spot.

        • jj4211@lemmy.world
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          20 days ago

          A bit off topic, but that’s pretty much a result of “prompt stuffing”. Your prompt is processed into a good old fashioned search query and then the search results are sort of added to the prompt. Basically from the LLM perspective, it seems a request to rework your source material in a manner consistent with your prompt. The LLM is fed the correct answer, so it doesn’t have to answer, it just has to reword the input.

      • jj4211@lemmy.world
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        21 days ago

        Most will just guess on the spot.

        Well no, most would say “I don’t know”. Which an LLM is unlikely to do unless the training material shows that a consistent answer is “I don’t know”. It will give a fact shaped answer that may fail, but it’s at least ‘shaped’ right.

        Again, the big problem is not that LLMs are just useless because they can’t do these little specific tricks, it’s that it is important to continue calibrating expectations, particularly as, at this point, people have bet trillions on these things and that’s a lot of money to have people lie and cheat their way to make everyone overestimate them. Without counter perspective, I think 90% of my coworkers would have been laid off already as the executives just soak in unchallenged marketing bullshit from the big players.

  • SocialMediaRefugee@lemmy.ml
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    21 days ago

    I keep wondering how AI is going to handle being fed poor data from other AI or its own output. It will be like a photocopy of a photocopy. The end result is an unreadable mess.

  • SocialMediaRefugee@lemmy.ml
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    21 days ago

    I use it to write scripts and debug error messages. It takes a good number of cycles though for it to arrive at a working result though. The scripts almost always fail on the first try and require numerous cycles to get through debugging. Once I have a working version though it becomes easier to ask for enhancements to it.

  • JumpyWombat@lemmy.ml
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    22 days ago

    Go ahead and use the tool that works for you. But don’t forget to test your tools on things you know every once in a while.

    Ok boomer.