This is obvs not learning from scratch since he has been practicing manipulating objects for several hundreds of hours. however it *is* his first time manipulating something this small, which requires entirely different strategies. His previous objects had been more like ~5-15cm
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Fascinating bit is that he tried a variety of approaches before converging towards a solution: try with one hand, try with the other hand, try to pick the object from the floor with his mouth directly (a completely different strategy!)
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One attempt he brought his hand to his mouth thinking he had grabbed the cookie, though he had not. So he has a model of what was supposed to happen after attempting to grab the cookie. Then he saw the cookie was still there and tried again.
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Interestingly the most difficult part wasn't grabbing the cookie (despite its never-seen-before size) but dropping it in his mouth (since he's grabbing with his palm, not his fingertips. Still managed to do it in a couple of attempts.
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He locks on a goal and keep trying until he reaches the goal. Has a clear model of what success means, what the key steps towards success are (grabbing, bringing hand to mouth, dropping cookie), and is able to invent novel strategies for each step in a handful of attempts.
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Are you familiar withJeff Hawkins’ new book. He introduces a novel concept of “Reference Frames” for me. A Thousand Brains: A New Theory of Intelligencehttps://www.amazon.com/dp/1541675819/ref=cm_sw_r_cp_api_glt_fabc_T7Z9W0CBMYEYQS7F7JNM …
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Yes, I have it!
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It has the best example of learning like this I have seen. Back to your paper to integrate the ideas. To see if it makes sense for “.Measuring Intelligence”
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Perhaps we will see reference frames in Keras?
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It is fascinating to watch a baby learn. You begin to grasp how AI is light years away...
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Language learning is the part I enjoyed most. My advice is play music and sing.
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