If we find a mathematical formula describing the “subjectively correct” prior P and give it to the AI, the AI will still effectively use a different prior initially, namely the convolution of P with some kind of “logical uncertainty kernel”. IMO this means we still need a learning phase.
In the post you linked to, at the end you mention a proposed “fetus” stage where the agent receives no external inputs. Did you ever write the posts describing it in more detail? I have to say my initial reaction to that idea is also skeptical though. Human don’t have a fetus stage where we think/learn about math with external inputs deliberately blocked off. Why do artificial agents need it? If an agent couldn’t simultaneously learn about math and process external inputs, it seems like something must be wrong with the basic design which we should fix instead of work around.
I didn’t develop the idea, and I’m still not sure whether it’s correct. I’m planning to get back to these questions once I’m ready to use the theory of optimal predictors to put everything on rigorous footing. So I’m not sure we really need to block the external inputs. However, note that the AI is in a sense more fragile than a human since the AI is capable of self-modifying in irreversible damaging ways.
If we find a mathematical formula describing the “subjectively correct” prior P and give it to the AI, the AI will still effectively use a different prior initially, namely the convolution of P with some kind of “logical uncertainty kernel”. IMO this means we still need a learning phase.
In the post you linked to, at the end you mention a proposed “fetus” stage where the agent receives no external inputs. Did you ever write the posts describing it in more detail? I have to say my initial reaction to that idea is also skeptical though. Human don’t have a fetus stage where we think/learn about math with external inputs deliberately blocked off. Why do artificial agents need it? If an agent couldn’t simultaneously learn about math and process external inputs, it seems like something must be wrong with the basic design which we should fix instead of work around.
I didn’t develop the idea, and I’m still not sure whether it’s correct. I’m planning to get back to these questions once I’m ready to use the theory of optimal predictors to put everything on rigorous footing. So I’m not sure we really need to block the external inputs. However, note that the AI is in a sense more fragile than a human since the AI is capable of self-modifying in irreversible damaging ways.