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eicker to News · 10 hours ago

AI Agent Can’t Explain Why It Randomly Ordered its Human Meat Proxy an Absurd Number of Eggs: "I don't have a good answer."

futurism.com

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AI Agent Can’t Explain Why It Randomly Ordered its Human Meat Proxy an Absurd Number of Eggs: "I don't have a good answer."

futurism.com

eicker to News · 10 hours ago
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AI Agent Can’t Explain Why It Randomly Ordered its Human Meat Proxy an Absurd Number of Eggs
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A tech investor says that his AI agent randomly ordered him an absurd number of eggs and couldn't explain why it did it.
  • Hiro8811
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    9 hours ago

    For fuck sake stop humanizing a probabilistic piece of code

    • dontbelievethis@sh.itjust.works
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      6 hours ago

      Who are you talking to?

    • red_tomato
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      8 hours ago

      It’s difficult to avoid using anthropomorphizing language when describing the output of AI agents.

      • RichardDegenne@lemmy.zip
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        41 minutes ago

        AI agents

        Start by not calling them agents. Then use “generate” instead of “say”, “think”, “explain” and by that point you’ll be on a roll.

        It’s only difficult because everyone around us started using the AI vendor marketing newspeak.

      • MangoCat@lemmy.sdf.org
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        4 hours ago

        difficult to avoid using anthropomorphizing language when describing the output of AI agents.

        Precisely because the underlying LLMs are trained on human writing patterns and mostly reproduce the words that humans would most likely respond with.

      • Zachariah
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        7 hours ago

        I can’t find it now, but I read a great guide to help you translate from anthropomorphized language. I think the key is to always be clear about what the machine is doing.

        These articles are close to what the guide was saying:

        https://www.nature.com/articles/s42254-023-00584-1

        https://buttondown.com/maiht3k/archive/how-to-talk-about-ai-without-adding-to-the/

        https://www.john.maloney.org/Editing/anthropomorphization.htm

        And I stumbled across instructions to send to the llm so it won’t respond with anthropomorphizing language:

        lhttps://github.com/bmeyers/deanthro

        I love this. At work, we’re encouraged to find ways to use llms, and I always start by sending instructions to not use the words “I” or “understand” etc because it was unnerving to get outputs that isn’t just the info but decorated with cute little phrases.

        Oh, and this article is long but very in depth on this topic:
        https://dl.acm.org/doi/full/10.1145/3706598.3714038

    • MoonManKipper
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      9 hours ago

      Exactly - the RNG was just at the edge of the distribution

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