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.
Why the AI industry is misreading the human brain
Viewing the human mind as a mere biological computer is a fundamental error driving today’s technological instability. While pioneers like Alan Turing sought to map cognition onto algorithmic input-output models, this narrow framework ignores millennia of evolutionary complexity, turning modern AI into a cognitive junk food that undermines our mental health.
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.
Comments (0)
No comments yet. Be the first!