> Deep learning is locked in the paradigm of learning as much as possible. Like > studying for a test by learning all the answers, rather than understanding > principles which allow you to work out your own answers. That it only learns > patterns, and does not have a principle by which new patterns can be created, > is why we are trapped needing ever bigger data sets, eternally getting > better, but never becoming good enough. More and more agreement, more and > more dependency, but never all agreement or all dependency. However much data > you learn, it will never enough, because you can never learn the novelty > which comes from a principle by which new patterns (let alone meaning) can be > created. > > That's what this work is lacking. > > -Rob >
We agree there for sure... ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T581199cf280badd7-M8987efb0c0ba178274ea623c Delivery options: https://agi.topicbox.com/groups/agi/subscription
