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How to ThinkIn the Age of AI

Concepts

The irreducible epistemic atoms underlying the curriculum. 4,828 atoms across 8 types

Axiomempirical

Emotional Hijacking of Judgment

The amygdala evaluates emotional significance of stimuli before conscious awareness, and humans systematically use these pre-conscious emotional evaluations as heuristic substitutes for complex cognitive judgments, producing systematic distortions in probability and severity assessments.

1 lessonemotionjudgmentheuristics
Axiomempirical

Systematic Overconfidence Taxonomy

Humans exhibit systematic overconfidence across domains, with subjective confidence consistently exceeding objective accuracy in three distinct forms—overestimation of absolute performance, overplacement relative to others, and overprecision of confidence intervals—that behave differently across task difficulty levels.

1 lessonoverconfidencebiascalibration
Axiomempirical

Emotion as Systematic Cognitive Modulator

Emotional states systematically distort perception and judgment in specific, predictable directions (fear increases perceived uncertainty and threat while decreasing control; anger does the opposite), serving as necessary somatic markers that guide attention and activate state-dependent memory networks rather than mere sources of error.

2 lessonsemotionaffectjudgment
Axiomempirical

Availability Heuristic Mechanism

People judge frequency and probability based on the subjective ease of mentally retrieving examples rather than the content count of retrieved instances, using retrieval fluency as a proxy for actual frequency in the world.

1 lessonavailability-heuristicjudgmentheuristics
Rule

AI generates inputs, you synthesize judgment — outsourcing…

When using AI systems, maintain explicit separation between input generation (AI-assisted) and judgment synthesis (human-retained), because outsourcing the integration function constitutes epistemic abdication regardless of input quality.

1 lessonai-augmented-thinkingepistemic-responsibilityjudgment