Why the AI industry is misreading the human brain

The analogy that reduces brain function to a three-step process—input, computation, and output—has fueled decades of progress in machine learning. By treating perception as a precursor to cognition and action, technologists have successfully built increasingly powerful neural networks. However, this mirror image of the mind is fundamentally warped.

Demis Hassabis describes the brain as a biological approximation of a Turing machine, while Elon Musk advocates for treating it as a literal computer. These perspectives overlook the reality that human cognition is not a clean, linear calculation. When developers force this reductive model onto the public, they create tools that lack the nuance of human judgment. We are not just processors of data; we are complex, evolved organisms whose cognitive systems are being disrupted by systems designed to satisfy the immediate impulse rather than sustain the long-term integrity of human thought.