3 ms·
Because unless you have a way to quantify the manifold ways in which specific human beings "understand things", there's no way to express that to chatGPT in a l
by throwaway675309 4y ago
Because unless you have a way to quantify the manifold ways in which specific human beings "understand things", there's no way to express that to chatGPT in a language symbol form that it can use to help best reexpress a larger piece of information and tailor it specific to you.
E.g. some people learn best through narrative story form, other people through visual imagery, etc. at a minimum yo'd need some kind of a neural biofeedback device to gauge and "AB test" different strategies of expressing information that would optimize encoding from short-term to long-term memory for each individual person.
Basically what you're suggesting is entirely to hand wavy and not nearly concrete enough to be applicable.
- soheil 4y agoOK I'll try again: Forward: fine tune responses base on new prompts with more details (output from human) - learn from human to create context human -> machine Reverse: condense large inputs with details to best fit understanding base on feedback (input into human) - teach human from context machine -> human