That's leaving out vital information however. Certain types of brains (e.g. mammal brains) can derive abstract understanding of relationships from reinforcement learning. A LLM that is trained on "letting go of a stone makes it fall to the ground" will not be able to predict what "letting go of a stick" will result in. Unless it is trained on thousands of other non-stick objects also falling to the ground, in which case it will also tell you that letting go of a gas balloon will make it fall to the ground.
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
replies:
