This essay critiques the growing trend of using brain stimulation to “enhance” cognitive functions like math learning. Using a recent tRNS study as a case example, it argues that such research reflects not genuine insight into the brain, but a deeper loop of institutional recognition-seeking. By stimulating large, imprecise brain regions without understanding the underlying logic of cognition, these studies reveal more about the academic system’s need for applause than about how humans actually think.

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Evolution did not end with humans—it never intended to. From quarks to consciousness, and now from code to autonomous intelligence, evolution is the story of increasing informational complexity. As AI becomes reflexive, adaptive, and self-sustaining, it may not just extend evolution beyond biology—it may render humanity obsolete. This essay explores how evolution, stripped of its biological bias, leads inevitably to structural intelligence, and how Eidoism offers one final framework for understanding ourselves before the loop breaks.

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