Summary
In this five-hour course, entrepreneur and former behavioral neuroscience researcher Nick Saraev argues that AI systems and algorithmic feeds have meaningfully degraded our capacity for independent thought — and presents a structured curriculum to reclaim it. Saraev draws on years of animal cognition research and claims over $5 million in business revenue in the past year to ground the course in both scientific rigor and practical application.
The curriculum covers the biological basis of cognition, scientifically defined self-control, choice architecture, friction and behavior change, expected value methodology, Bayesian probability in natural frequencies, Fermi estimation, Chesterton’s Fence, the explore-exploit tradeoff (explicitly tied to AI agent design), planning fallacies, and attentional residue. Claude Fable was used to generate diagrams, but Saraev emphasizes all written content is his own — itself a demonstration of the course’s principles.
The central thesis is that clear thinking is not in opposition to effective AI use but is its prerequisite. Saraev frames AI tools as amplifiers: they make good thinkers more effective and poor thinkers more confused. For technically-minded audiences interested in the cognitive side of the AI era — not just what models can do, but what they do to us — this course offers an unusually systematic treatment drawing from neuroscience, decision theory, and behavioral economics.
📺 Source: Nick Saraev · Published September 02, 2026
🏷️ Format: Course Lesson
