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The whole "It learns from your way of learning and optimizes for you personally understanding it" thing is not just ChatGPT in reverse, you just added a whole n
by tracerbulletx 4y ago
The whole "It learns from your way of learning and optimizes for you personally understanding it" thing is not just ChatGPT in reverse, you just added a whole new major element. Because it definitely can already take long input text and make it shorter, and does it quite well.
- soheil 4y agoI don't understand why it cannot "learn" the way we understand things and tailor it personally. It already can remember context between prompts so I don't see how this is a "new major element".
- throwaway675309 4y agoBecause 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