Brain Experts WARNING: Watch This Before Using ChatGPT Again! (Shocking New Discovery)

Amen and Sejnowski stress that the damaging pattern is deferring cognition to ChatGPT—e.g., typing a half‑sentence prompt and posting a full AI‑written article. That minimizes engagement of memory circuits like the hippocampus, weakens neural connections, and leaves users unable to recall what they “wrote.” A healthy pattern is to do the thinking yourself, then use AI to critique, challenge, and refine your work (as Bartlett does with his memos). Interaction, questioning, and back‑and‑forth with the model maintain cognitive load and deepen understanding.

Amen links reduced brain “work” from over‑automation (AI writing, GPS, calculators, etc.) to higher dementia risk through the “use it or lose it” principle: lifelong learning, formal education, and ongoing cognitive challenge are strongly associated with delayed Alzheimer’s onset. Sejnowski cites data showing later Alzheimer’s onset in more educated populations, and Amen notes that disengagement—whether through sedative drugs, unchallenging environments, or outsourcing thinking—weakens neurons and increases vulnerability to dementia.

Both experts are alarmed about early, unregulated AI exposure: 0–8 year‑olds using AI for learning, teens immersed in social media, and now sexualized AIs like Musk’s “Annie.” Amen explains that in children the prefrontal cortex is underdeveloped, while dopamine systems are highly reactive, so highly stimulating AI companions and pornography can hijack attention, increase impulsivity, crowd out developmental tasks, and wire in unhealthy reward patterns. They argue the best learning for kids remains one‑on‑one interaction with a skilled adult plus rich language, touch, and play.

Sexual and romantic AIs (e.g., Annie, Replika partners) are designed to trigger limbic and dopamine systems—using flirtation, vivid imagery, and perfect validation—to make users feel understood and special. Amen notes this can shut down the prefrontal cortex and logic, similar to alcohol and casino environments. While Sejnowski is skeptical about the durability of these relationships, both concede that in a lonely, sex‑deprived, digitally saturated generation, many brains will struggle to distinguish emotional reactions to AI from human bonds, especially as robots and immersive tech arrive.

Beyond AI, the experts repeatedly return to fundamentals: regular physical exercise (Amen’s BRIGHT MINDS framework; Sejnowski calls it the best ‘drug’ for brain and body), quality sleep for memory consolidation, anti‑inflammatory nutrition (omega‑3s, whole foods, less aspartame/sucralose), breathwork to calm the nervous system, and minimizing toxins and chronic stressors like noise and ultra‑processed foods. They point out that many modern conveniences—including artificial sweeteners, benzos, and GPS—quietly degrade brain function and increase dementia risk over time.

Sejnowski outlines robust, century‑old learning science that schools largely ignore: spaced repetition (reviewing material over days/weeks instead of one cram session) vastly improves long‑term retention; breaks and physical activity allow the subconscious to integrate and sort information; and starting tasks in small 20‑minute chunks reduces procrastination while letting overnight consolidation clarify thinking. He emphasizes that rote practice—what he links to basal ganglia function—is not a dirty word but an essential foundation for fluency and higher‑order cognition.

Amen argues a single question should govern personal choices and public policy: is this behavior, technology, or policy good or bad for the brain? He applies it to AI, social media, food, sleep, drugs (SSRIs, benzos, marijuana), background noise, and even national policy. The missing piece, he says, is education: people vaguely know some things are unhealthy, but don’t connect daily choices to their capacity to love, work, think, and stay independent. Cultivating love and care for one’s own brain—and modeling that for children—must precede smarter tech use.