"Thought curvature", a possible path to Artificial General Intelligence?

Intriguingly, both the Google Deepmind paper, "Early Visual Concept Learning" (September 2016) and the paper of mine, entitled "Thought curvature" (May 2016):

(1) Consider combining somethings in machine learning called translation invariant, and translation variant paradigms (i.e. disentangling factors of variation)

(2) Do (1) particularly in the regime of reinforcement learning, causal laws of physics, and manifolds.


FOOTNOTE:
Notably, beyond the Deepmind paper, thought curvature describes the (machine learning related) algebra of Supermanifolds, instead of mere manifolds.


QUESTION:
Given particular streams of evidence..., is a degree of the super-manifold structure a viable path in the direction of mankind's likely last invention, Artificial General Intelligence?













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