The brain just learns from the past to do better in the future. 4 year olds are very unwise, even 10 year olds can be easily! Our algorithms are getting fairly close to predicting the next word like we do in text and image. That's why I ask you to give examples of why you know the next word. How? Why?
( below explains where we get our observations from ) *_Good example of *exactly*, and *clearly*, HOW:_* Letters, words, and phrases re-occur in text. AI finds such patterns in data and mixes them. We don't store the same letter or phrase twice, we just update connection weights to represent frequencies. If our algorithm has only seen "Dogs eat. Cats eat. Cats sleep. My Dogs Bark." in the past, and is prompted with the input "My Dogs" and we pay Attention to just 'Dogs' and require an exact memory match, the possible predicted futures and their probabilities (frequencies) are 'eat' 50% and 'Bark' 50%. If we consider 'My Dogs', we have fewer memories and predict 'Bark' 100%. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Td2287eb2b142cb0b-M1ab1d8bcac3ff01667e66abe Delivery options: https://agi.topicbox.com/groups/agi/subscription
