Comment by singularity2001
7 hours 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
7 hours 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.