323
AI tool OpenClaw wipes the inbox of Meta's AI Alignment director despite repeated commands to stop — executive had to manually terminate the AI to stop the bot from continuing to erase data (www.tomshardware.com)
submitted 7 months ago by to c/fuck_ai@lemmy.world
54 comments fedilink hide all child comments
you are viewing a single comment's thread
view the rest of the comments
[–] 5 points 7 months ago (8 children)

LLM outputs are 100% deterministic.

If you enter the same prompt with the same seed you will get the same vector outputs.

Chatbots take those vector outputs and treat them as a distribution and select a random token. This isn't a property of the LLMs, it's a property of chatbots.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 8 child comments
    •
  • [–] 4 points 7 months ago (3 children)

    If they aren’t selling non-chatbot LLMs then that’s irrelevant.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 3 child comments
    •
  • [–] -1 points 7 months ago (2 children)

    The entire comment chain is about LLMs, not chatbots.

    A LLM's output is deterministic.

    A from an IT system point of view, a system using LLMs is only non-deterministic if the system adds randomness. The randomness isn't inherent to the LLM and any added randomness is typically created by a seed which could be replicated across number of system images leading to deterministic output across every image clone.

    From the point of view of the typical user the computer may as well be a magical box controlled by a tiny fairy so any talk of deterministic output is irrelevant.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 2 child comments
    •
  • [–] 5 points 7 months ago (1 child)

    The entire comment chain is about LLMs, not chatbots.

    The post is about the actual product they’re selling, not whatever idealized idea of what a ‘proper’ LLM is.

    If every LLM sold is sold as a chatbot, then this “ummm ackchully” is irrelevant. It doesn’t matter what LLMs are technically capable of if none of the LLMs sold actually function that way.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 1 child comment
    •
  • [–] 1 point 7 months ago

    The post is about the actual product they’re selling, not whatever idealized idea of what a ‘proper’ LLM is.

    Yes, that is what the post is about.

    You didn't click on reply to the post, you clicked reply under my comment.

    In my comment, I was talking about an LLM (I checked with myself) and the other person was also talking about LLMs and on up to the top of the comment chain where we started talking about LLMs in IT systems.

    From the context of the conversation, you should understand that we're talking about LLMs, specifically being in IT having to deal with LLMs. The context should tell you that we're talking about the actual language models and not the end user applications, like a chatbot.

    If they aren’t selling non-chatbot LLMs then that’s irrelevant.

    Ok, well this is easy then. Every LLM isn't sold as a chatbot so I'm not sure why you keep repeating this like it is a point.

    If every LLM sold is sold as a chatbot, then this “ummm ackchully” is irrelevant.

    Your first comment was 'ummmm ackchully LLMs are only chatbots' which is both wrong and ironic.

  • permalink
  • fedilink
  • source
  • parent
  • [+] 1 point 7 months ago* (last edited 6 months ago) (3 children)
    [deleted]
  • permalink
  • fedilink
  • source
  • parent
  • hideshow 3 child comments
    •
  • [–] 1 point 7 months ago (2 children)

    Every computer program may as well be a nondeterministic system from the user's point of view. Users, typically, interact with every computer program as if it were a black box that may as well be run by faeries and magic dust.

    My point was that if you run 100 LLMs in parallel and give them the same input they will produce the same output. The randomness is something added after the LLM's output, it isn't something inherent to neural networks.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 2 child comments
    •