Forgive the smelly domain.

This is a fantastic short essay by Rich Hickey.

  • CarrotsHaveEars@lemmy.ml
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    3 days ago

    Dude, what you give LLM is not instructions. It doesn’t follow your instructions. It brings you back what might look like you want.

    A CPU, on the other hand, carries out the instructions exactly like you’ve said.

    There is no way to avoid incorrect answers from LLM. It’s probablistic; there is always a chance of getting a wrong answer no matter how you improve it. With a CPU, you can reduce errors by improving the design. It’s based on physics; it’s logical.

    I advice you to stop treating LLMs as blackboxes and only observe it from the outside. You’ll never notice the difference if the error rate is low enough.

    • mildseason@sopuli.xyz
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      3 days ago

      Of course, an LLM is a probability machine which outputs the most likely next token based on the tokens you give it.

      I’m not sure why that doesn’t make it a tool though. The output of this probability machine can be useful if you know what you’re doing.