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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

Principle

Allocate cognitive improvement effort to meta-schemas rather

Allocate cognitive improvement effort to meta-schemas rather than individual schemas to achieve multiplicative returns through compound propagation across all schemas governed by the upgraded meta-schema.

2 lessons
Principle

Make your schema-formation process explicit and examinable…

Make your schema-formation process explicit and examinable to convert accidental cognitive development into deliberate development.

1 lesson
Principle

Stress-test adopted frameworks against your specific context

Stress-test adopted frameworks against your specific context before trusting them, as theoretical coherence does not guarantee contextual validity.

1 lesson
Principle

Check schemas against test data they were not built…

Check schemas against test data they were not built from rather than only the training data they were derived from to distinguish genuine patterns from memorized examples.

1 lesson
Principle

Prefer simpler schemas when accuracy and scope…

Prefer simpler schemas when accuracy and scope are equivalent, as unnecessary complexity creates untrackable failure modes and cognitive load.

1 lesson
Principle

Define observable conditions that would prove each schema…

Define observable conditions that would prove each schema wrong to distinguish genuine models from unfalsifiable belief systems.

1 lesson
Principle

Build a living registry of your schemas with metadata about…

Build a living registry of your schemas with metadata about source, confidence, last-tested date, and status rather than treating beliefs as a static snapshot.

1 lesson
Principle

Use the downward arrow technique to surface invisible…

Use the downward arrow technique to surface invisible foundational schemas by repeatedly asking what a surface belief would mean about deeper identity-level assumptions.

1 lesson
Principle

Inventory actual operating schemas revealed through behavior

Inventory actual operating schemas revealed through behavior rather than aspirational schemas that reflect desired self-image.

1 lesson
Principle

Map dependencies between schemas to understand cascading…

Map dependencies between schemas to understand cascading effects when foundational beliefs change rather than treating each belief as independent.

1 lesson
Principle

Identify foundational schemas that support many dependent…

Identify foundational schemas that support many dependent beliefs and subject them to the most frequent verification, as their failure produces the widest cascades.

1 lesson
Principle

When a foundational schema fails, trace the cascade…

When a foundational schema fails, trace the cascade to its source and restructure deliberately rather than compensating by shoring up dependent beliefs independently.

1 lesson
Principle

Document schema dependency graphs in external form rather…

Document schema dependency graphs in external form rather than relying on intuitive connectedness, as the structure exceeds working memory capacity.

1 lesson
Principle

Build explicit conflict-resolution protocols…

Build explicit conflict-resolution protocols for contradictory schemas rather than collapsing conflicts prematurely to reduce discomfort.

1 lesson
Principle

Match schema selection to error cost structure

apply thorough multi-perspective analysis when errors are irreversible and expensive, fast heuristics when errors are reversible and cheap.

1 lesson
Principle

Weight schema selection by domain-specific track record

prioritize schemas that have produced accurate predictions in structurally similar problems over schemas that feel familiar or recent.

1 lesson
Principle

Match schemas to domain structure

apply analytical schemas to domains with clear causal chains, interpretive schemas to domains with reflexive actors, and generative schemas to domains with unconstrained solution spaces.

1 lesson
Principle

Select schemas with feedback loop speed matching…

Select schemas with feedback loop speed matching your learning timeline: prioritize short-loop schemas when you need rapid iteration, long-loop schemas when you can wait for delayed outcomes.

1 lesson
Principle

Create explicit records of schema-application-outcome…

Create explicit records of schema-application-outcome triples to train your schema selection mechanism through feedback rather than relying on memory-based pattern recognition.

1 lesson
Principle

Design learning activities to produce confusion…

Design learning activities to produce confusion and cognitive disequilibrium at the edge of current understanding, since that tension drives schema accommodation and genuine conceptual change.

1 lesson
Principle

Implement continuous small schema updates based on new…

Implement continuous small schema updates based on new evidence rather than waiting for crisis-driven wholesale revision, since incremental adjustment compounds into fundamental transformation with lower emotional cost per update.

1 lesson
Principle

When learning effort fails repeatedly, question your schema…

When learning effort fails repeatedly, question your schema about how learning works rather than concluding you lack capability, since mismatched learning strategies produce failure independent of ability.

1 lesson
Principle

Match change methods to change type

use linear approaches for clear low-resistance changes, stage-based for motivation challenges, systems approaches for feedback-loop contexts, and adaptive approaches when the problem requires self-transformation.

1 lesson
Principle

Identify and intervene on stabilizing feedback loops rather…

Identify and intervene on stabilizing feedback loops rather than overwhelming them through brute force, since sustainable change requires restructuring the corrective mechanisms themselves.

1 lesson