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The Incentives Lab
HBT-INC-0077 · Dimension INC · Incentives

Context Window

How much input the model can process at once.

Workflow·AI-Behavioral Coupling·Grade C·draft· enriching…

Scientific Definition

How much input the model can process at once.

Plain-English Definition

How much input the model can process at once.

Feynman Explanation

Bigger context, more capability, more cost.

Core Principle

How much input the model can process at once.

Mechanisms

Psychological

Pending editorial review.

Behavioral Economic

Pending editorial review.

Neurological

Pending editorial review.

Evolutionary

Pending editorial review.

Sociological

Pending editorial review.

Computational

Pending editorial review.

Systems

Pending editorial review.

Inputs (Triggers)

Pending editorial review.

Outputs (Behaviors)

Pending editorial review.

Behavioral Signature

Bigger context, more capability, more cost.

Examples

Everyday
  • 1M token context windows in newer models.
Modern (Organizational)
  • Architecture decisions for document-heavy work.
Historical

Pending editorial review.

Famous Experiments

Pending editorial review.

Design Principles

  • Don't over-index on long context. Retrieval often beats stuffing.

Measurement Approaches

Pending editorial review.

Evidence

Evidence Grade
C (A strongest → E speculative)
Replication
★★☆☆☆
Intervention Confidence
3 / 5
Consensus
Pending editorial review (HBT v1.0 auto-seed).
Limitations
Pending editorial review (HBT v1.0 auto-seed).
Open Research Questions

Pending editorial review.

Primary References

Pending editorial review.

Signature Section

The Perverse Incentive Lens™

How this behavior is exploited — and how to redesign around it.

Exploitation
Architecture decisions for document-heavy work.
Amplifying Incentives
Architecture decisions for document-heavy work.
Org Failure Modes
Architecture decisions for document-heavy work.
Societal Failure Modes
Pending editorial review (HBT v1.0 auto-seed).
Ethical Considerations
Pending editorial review (HBT v1.0 auto-seed).
Redesign Strategies
Don't over-index on long context. Retrieval often beats stuffing.
Diagnostic Questions
  • Don't over-index on long context. Retrieval often beats stuffing.
Warning Signs

Pending editorial review.

Red Flags

Pending editorial review.

Intervention Playbook
Individual
Don't over-index on long context. Retrieval often beats stuffing.
Team
Pending editorial review (HBT v1.0 auto-seed).
Organization
Pending editorial review (HBT v1.0 auto-seed).
Policy
Pending editorial review (HBT v1.0 auto-seed).
AI Implications
Detection
Pending editorial review (HBT v1.0 auto-seed).
Measurement
Pending editorial review (HBT v1.0 auto-seed).
Mitigation
Pending editorial review (HBT v1.0 auto-seed).
Responsible Use
Pending editorial review (HBT v1.0 auto-seed).

Interactive Mini Network

Click any neighbor to re-center the graph and follow the threads of connection.

HBT-INC-0077 · INC
Context Window
CWAgAgentAWAI-First Workflow De…CDConcept DriftDDData DriftEmEmbeddingEDEval DriftEFEvaluation Framework…ILIn-Context LearningLBLatency BudgetMDModel Distillation

Knowledge Graph Neighbors

Version History

v1.1.0 · 2026-06-28Initial auto-seed from corpus.