https://twitter.com/yuiseki_/status/1635915904373637120?s=20
https://twitter.com/yuiseki_/status/1636028981676998657?s=20
The second half of the article is very interesting, as it is based on the assumption that a single stochastic generative model is divided into two parts and that symbols (≒language ≒meaning) are generated by guessing each other’s internal representations as they try to optimize their own internal representations. https://twitter.com/yuiseki_/status/1636031610230562818?s=20 In other words, we’ve already gone beyond the talk about how human cognition might be a probabilistic generative model for better cognition of the world, and the claim that the human population might also be a probabilistic generative model for better cognition of the world. This is now close to Buddhism. Wisdom of Monju
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