Resisting Entropy: Critical Thinking in the Age of AI

Critical thinking is usually taught as a loose collection of skills—logic, argument analysis, inference—without a unifying structure. Students often master concepts in theory yet struggle to apply them in real situations, a gap that the rise of artificial intelligence has only widened.

Resisting Entropy proposes a different approach. Rooted in the ancient Platonic method of truth-seeking, the book reframes critical thinking through a computational lens. It builds intuition from first principles by focusing on decomposition, abstraction, pattern recognition, and algorithmic thinking—core ideas borrowed from computer science and applied to perennial philosophical problems.

Critical thinking is presented not as abstract intellectual mastery, but as an existential practice of ordering: resisting the natural drift toward confusion, noise, and disorder. Each chapter combines visual explanations with substantive exercises, making the book a practical resource for developing judgment, agency, and decision-making capacity in the age of AI.