How AI Disrupts the Brain's Natural Learning Systems

The way technologists understand human thinking shapes what they build. When leaders like Demis Hassabis describe the brain as "a biological approximation to a Turing machine" and Elon Musk compares human cognition to a biological computer, they're applying a model that oversimplifies how minds actually work—and it's influencing products with real consequences for learning and culture.

The Computer Model Misses What Brains Actually Do#

The computational framework treats thinking as a straightforward pipeline: information enters, undergoes processing, and produces behavior. While this model has been useful for developing computers and artificial intelligence, it's fundamentally limited. John von Neumann, a pioneer in computer science, doubted this approach could capture "the exceptional complexity of the human nervous system."

Neuroscientist Paul Cisek at the University of Montreal proposes a different model: brains function as feedback-control systems, not passive data processors. Rather than calculating outcomes in isolation, our minds take action to adjust the inputs we receive—a process refined over millions of years of evolution. Consider catching a fly ball in baseball: the computational model requires complex hidden math to estimate velocity and gravity. The feedback-control model is simpler: keep the ball steady in your visual field and move to maintain that view. Humans don't compute their way through the world; they act within it.

This distinction matters because it aligns with how nervous systems actually developed. From ancient fish to modern humans, new brain structures emerged to support expanded control over environments—the hippocampus emerged to help navigate space and remember important journeys, not to process abstract algorithms.

The Social Learning Problem AI Ignores#

Human cognition also relies on something the computational model overlooks: our intensely social nature. Over hundreds of thousands of years, humans developed the capacity to imitate gestures, then sounds, then language—enabling knowledge transfer between individuals. This led to oral tradition, written language, formal education, and institutions like markets and democracies.

Each innovation extended human control and understanding. Formal education, in particular, became humanity's unique mechanism for transmitting complex knowledge across generations during our unusually long developmental period. Yet Big Tech companies are now dismantling these systems by positioning AI as the primary learning platform. OpenAI's VP of education in 2025 that learners make up more than half of ChatGPT's 900 million monthly users, calling it "the world's largest learning platform." Anthropic launched , offering educators free premium access.