Prompting
Chain-of-Thought Monitoring
Chain-of-thought monitoring uses an automated monitor, often another language model, to read a reasoning model's chain of thought and flag signs that it intends to misbehave, such as reward hacking, sabotage, or deceiving the user.
In depth
Chain-of-thought monitoring uses an automated monitor, often another language model, to read a reasoning model's chain of thought and flag signs that it intends to misbehave, such as reward hacking, sabotage, or deceiving the user. It works because models that reason in natural language often state a plan before they act on it. A July 2025 paper by researchers from OpenAI, Google DeepMind, Anthropic, and other groups called this a new and fragile opportunity for safety. It urged labs to consider how their development choices could make chains of thought harder to monitor.
Primary source: arxiv.org
Example
Chain-of-thought monitoring uses an automated monitor, often another language model, to read a reasoning model's chain of thought and flag signs that it intends to misbehave, such as reward hacking, sabotage, or deceiving the user.
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FAQ
Common questions
What is Chain-of-Thought Monitoring?
Chain-of-thought monitoring uses an automated monitor, often another language model, to read a reasoning model's chain of thought and flag signs that it intends to misbehave, such as reward hacking, sabotage, or deceiving the user.
Why does Chain-of-Thought Monitoring matter for AI developers?
Chain-of-Thought Monitoring sits in the Prompting part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about Chain-of-Thought Monitoring?
Developers Digest publishes tutorials and videos that cover Prompting topics including Chain-of-Thought Monitoring. Check the blog and YouTube channel for hands-on walkthroughs.
Related
Related terms
Prompting
Chain of Thought (CoT)
A prompting technique where the model is asked to show its step-by-step reasoning before arriving at a final answer.
Prompting
Reward Model
A model trained to give a response a single score that predicts how much a human would prefer it.
Prompting
Reasoning Summaries
Readable digests of a reasoning model's internal chain of thought, returned in place of the raw reasoning.
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