Thanks for the encouraging words 😊 I have presented my theory to a Chinese AGI group and got some positive feedback also. I will translate my slides into English. The slides explain the theory in an easier and more friendly way. Also, the RNN-within-RNN architecture is still inefficient and I have found a "flat" way to build symmetric neural networks (there are some existing research on this topic that we did not have time to add to the paper). They may be added if more revisions are allowed.
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