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Religious scholars met with Anthropic

160 points · 416 comments · bookofjoe

  1. thadt · · focus · HN ↗
    When thinking about ‘AI’ I sometimes find it useful to replace the terms ‘model’ or ‘AI’ or whatever with a description of what we’re really talking about here: a whole bunch of floating point numbers.

    > In a series of private meetings, the company consulted religious scholars to help instill morality into its FLOATING POINT NUMBERS — and make the case that their numbers could be conscious.

    I recommend keeping a few NaNs in-hand if you’re worried. Spread a couple of around if your numbers start to stir and you’ll be right as rain.

    > It appeared to Rabbi Navon that Mr. Olah and his team believed that FLOATING POINT NUMBERS had what philosophers call “moral status” on par with a person — that it was a being with similar inherent rights to dignity or respect.

    They’re cleverly designed and work well for their purpose, but can assure you they have neither dignity nor moral status.

    > If the FLOATING POINT NUMBERS themselves could be made to choose goodness, Mr. Olah reasoned, the world would be more safe.

    I get it. I’ve spent years trying to get my floating point numbers to choose goodness - I wish them luck.

    1. hnlmorg · · focus · HN ↗
      That’s overly reductive and thus completely misses the problem entirely.

      What are biological neurones if not electric impulses of varying strengths?

      We need to stop thinking of LLMs as purely a piece of software and ask those hard-to-define philosophical questions if we want any hope of building safety into our models.

      1. irenaeus · · focus · HN ↗
        Neurons are different from GPU logic gates and the physical mechanisms by which a network of physical neurons computes answers is extremely different from the physical mechanism by which a GPU computes an answer.
        1. [deleted] · · focus · HN ↗

          [deleted]

        2. hnlmorg · · focus · HN ↗
          An LLM neurone is a software abstraction. It has nothing to do with GPU logic gates. In fact you dont even need GPUs specifically to run an LLM.

          You shouldn’t compare biological neurones to microprocessor logic gates because that’s like comparing a car to a pair of shoes.

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