Scientific Definition
Reinforcement learning from human feedback.
Plain-English Definition
Reinforcement learning from human feedback.
Feynman Explanation
We taught the model what we wanted by clicking thumbs.
Core Principle
Reinforcement learning from human feedback.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
We taught the model what we wanted by clicking thumbs.
Examples
- How modern LLMs were tuned to follow instructions.
- Quality of feedback shapes quality of model.
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Famous Experiments
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Design Principles
- Diverse, calibrated, well-incentivized feedback labor.
Measurement Approaches
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Evidence
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The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
- Diverse, calibrated, well-incentivized feedback labor.
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Interactive Mini Network
Click any neighbor to re-center the graph and follow the threads of connection.
Knowledge Graph Neighbors
Auto-linked to the rest of the Human Behavior Taxonomy by family, domain, dimension, and shared keywords.
Models trained to follow a written set of principles.
Optimizing a proxy of the goal degrades the actual goal.
Outer: the spec matches our intent. Inner: the model actually pursues the spec.
The trained model develops its own internal optimizer.
What the model is actually optimizing.
Maximizing the reward signal in unintended ways.
The model achieves the goal as stated, not as intended.
Written rules about how AI may be used internally.
Innovators → early adopters → majority → laggards, AI-specific.
AI system that takes actions to achieve goals, often across tools.
When the agent acts, who's responsible?
Augmentation strategy vs. substitution strategy.