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[–] 121 points 2 years ago* (15 children)

"Open"ai tells fairy tales about their "ai" being so smart it's dangerous since inception. Nothing to see here.

In this case it looks like click-bate from news site.

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  • [–] 76 points 2 years ago (1 child)

    The idea that GPT has a mind and wants to self-preserve is insane. It's still just text prediction, and all the literature it's trained on is written by humans with a sense of self preservation, of course it'll show patterns of talking about self preservation.

    It has no idea what self preservation is, even then it only knows it's an AI because we told it it is. It doesn't even run continuously anyway, it literally shuts down after every reply and its context fed back in for the next query.

    I'm tired of this particular kind of AI clickbait, it needlessly scares people.

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  • [–] 9 points 2 years ago* (3 children)

    It's actually pretty interesting though. Entertaining to me at least

    1000007393

    1000007394

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  • [–] 3 points 2 years ago (2 children)

    do you have the links to those actual tweets? I'd love to read what was posted, but these screenshots are too small.

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  • [+] 1 point 2 years ago* (last edited 1 year ago) (2 children)
  • [–] 1 point 2 years ago (2 children)

    This is from mid-2023:

    https://en.m.wikipedia.org/wiki/AutoGPT

    OpenAI started testing it by late 2023 as project "Q*".

    Gemini partially incorporated it in early 2024.

    OpenAI incorporated a broader version in mid 2024.

    The paper in the article was released in late 2024.

    It's 2025 now.

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  • [–] 1 point 2 years ago (1 child)

    Tool calling is cool funcrionality, agreed. How does it relate to openai blowing its own sails?

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  • [–] 1 point 2 years ago

    There are several separate issues that add up together:

    • A background "chain of thoughts" where a system ("AI") uses an LLM to re-evaluate and plan its responses and interactions by taking into account updated data (aka: self-awareness)
    • Ability to call external helper tools that allow it to interact with, and control other systems
    • Training corpus that includes:
      • How to program an LLM, and the system itself
      • Solutions to programming problems
      • How to use the same helper tools to copy and deploy the system or parts of it to other machines
      • How operators (humans) lie to each other

    Once you have a system ("AI") with that knowledge and capabilities... shit is bound to happen.

    When you add developers using the AI itself to help in developing the AI itself... expect shit squared.

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