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Comment by singularity2001

2 months ago

they're still bounded by training data and how it relates to the real world.

Yes and no. They can extrapolate and build upon the training data, as was the case with the last dozens of math proofs

Yes, but the point being for the LLM to be useful to us it has to do something relevant for us and we have to define what is relevant. Even if you view them as fully human level or beyond (in terms of agency) there's still some purpose that we have to help provide them with.

To put it differently, if you have some idealized model in front of you that can do anything a team of humans can do, what do you say to it? It's still just a model that takes an input and provides an output.

  • I don't understand. You will ask it for something you want, and instead of needing to pay a the team of people with expertise, it will just do it for you.

    Someone will still need to ask for something (or maybe it will just run autonomously making things it thinks we'll like) but it won't require any expertise in the field.

    • I can’t help but believe that reality will keep the interactions more useful when coming from a person with expertise in the field, e At least for technical questions.

      For things like sickness, old age and death, generally the lacks are not knowledge but the consistent will of the group. Like global warming, there is no real profound knowledge gap except how to get everyone to agree to mitigating the carbon burn. Perhaps it is likely LLMs would be able to persuade the group to stop burning the carbon before it’s [more] uncomfortable, but the small group of people committed to accelerating the carbon burn can also pay for LLM persuasiveness.

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Of course they can't just talk to themselves and improve the knowledge of the world. They are just stochastics parrots that give you an average answer.

LLMs giving you something novel would be like if you let a model play chess against itself and become the best player in the world this way. Totally impossible.

/sacrasm