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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

Insert independent verification checkpoints at every point…

Insert independent verification checkpoints at every point where one process automatically consumes the output of another without review.

2 lessons
Principle

Define kill conditions before beginning any multi-step…

Define kill conditions before beginning any multi-step process to enable early detection of upstream errors.

1 lesson
Principle

Design explicit operating modes (full, reduced, minimal)…

Design explicit operating modes (full, reduced, minimal) for every critical system before constraint forces improvisation.

1 lesson
Principle

Distribute critical functions across multiple redundant…

Distribute critical functions across multiple redundant mechanisms at different scales rather than relying on single points of function.

1 lesson
Principle

Practice running systems in degraded mode during normal…

Practice running systems in degraded mode during normal conditions to rehearse partial failure before real constraints force it.

1 lesson
Principle

Design recovery procedures to function under the degraded…

Design recovery procedures to function under the degraded conditions that typically accompany failures, not ideal conditions.

1 lesson
Principle

Implement cognitive checkpointing by capturing the complete…

Implement cognitive checkpointing by capturing the complete state of ongoing thinking at regular intervals to enable rollback without full reconstruction.

1 lesson
Principle

When investigating errors, ask 'what conditions made…

When investigating errors, ask 'what conditions made this failure likely?' rather than 'who is responsible?' to shift analysis from person to system.

1 lesson
Principle

Commit to structural changes (process, checklist…

Commit to structural changes (process, checklist, information flow, defaults) rather than personal resolutions as the test of learning from error.

1 lesson
Principle

Group errors into clusters and treat three or more instances

Group errors into clusters and treat three or more instances of the same pattern as a signal of structural weakness rather than coincidence.

1 lesson
Principle

For skill-based errors, fix the environment and triggers…

For skill-based errors, fix the environment and triggers; for rule-based errors, improve situation discrimination; for knowledge-based errors, update mental models.

1 lesson
Principle

Deploy automated detection for high-frequency, pattern-based

Deploy automated detection for high-frequency, pattern-based errors and reserve human judgment for contextual, judgment-dependent errors.

1 lesson
Principle

Externalize vigilance requirements to tools or protocols…

Externalize vigilance requirements to tools or protocols rather than relying on sustained human attention.

1 lesson
Principle

Catch errors at the earliest point in a process where…

Catch errors at the earliest point in a process where detection is possible, as correction cost increases exponentially with propagation distance.

1 lesson
Principle

Track the full cost of error correction including direct…

Track the full cost of error correction including direct cost, opportunity cost, context-switching cost, and propagation cost, not just the visible effort of fixing.

1 lesson
Principle

Invest in preventing error-producing conditions rather…

Invest in preventing error-producing conditions rather than optimizing correction speed when total correction cost is high.

1 lesson
Principle

Extract structural information from errors by separating…

Extract structural information from errors by separating mechanism from emotion and identifying the incorrect assumption that produced the error.

1 lesson
Principle

Treat errors as high-information signals that reveal system…

Treat errors as high-information signals that reveal system boundaries and assumptions, allocating attention disproportionately to failures rather than successes.

1 lesson
Principle

Distinguish systematic errors (predictable outputs…

Distinguish systematic errors (predictable outputs of structural weaknesses) from stochastic errors (random confluences unlikely to recur) and redesign systems only for systematic patterns.

1 lesson
Principle

Define quantified error budgets that pre-authorize specific…

Define quantified error budgets that pre-authorize specific, bounded amounts of deviation to prevent system collapse when inevitable errors occur.

1 lesson
Principle

Build systems with sufficient internal variety to absorb…

Build systems with sufficient internal variety to absorb environmental variety, ensuring corrective capacity matches the diversity of possible errors.

1 lesson
Principle

Separate detection, diagnosis, correction, and learning…

Separate detection, diagnosis, correction, and learning into independent subsystems so each can improve without dependencies and partial failure doesn't disable the whole system.

1 lesson
Principle

Convert manually-corrected processes to self-correcting ones

Convert manually-corrected processes to self-correcting ones by identifying recurring errors, detecting early signals, and wiring automatic corrective actions to environmental triggers.

1 lesson
Principle

Add meta-correction layers that review whether correction…

Add meta-correction layers that review whether correction mechanisms themselves are working and adjust them when they fail to prevent recurrence.

1 lesson