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OpenAI research finds AI models get harder to monitor through their chain of thought

3 articles3 sourcessince Nov 11Last article

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OpenAI publishes research finding that AI models become harder to monitor through their chain of thought as they scale toward more intelligent systems.

The study measures chain-of-thought monitorability as no-CoT capability and CoT controllability across the model training lifecycle.

OpenAI says further progress in pretraining will require new approaches to monitorability. Max Zeff and Elvis Saravia reported the findings on X, citing OpenAI's thread.

Written by AI from the articles below · updated Nov 11, 4:12 PM ET

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The articles in this story. Times are ET.

Nov 11
  1. will depueOfficial
    OpenAI shares research on chain-of-thought monitorability across model training

    AIOpenAI shares new research on how chain-of-thought monitorability, covering no-CoT capability and CoT controllability, changes over the model training lifecycle. The researchers report that as models scale toward greater intelligence, they become harder to monitor through their chain of thought.

  2. elvisX
    OpenAI research finds smarter models are harder to monitor through CoT

    AIOpenAI researchers study how chain-of-thought monitorability, covering no-CoT capability and CoT controllability, changes across the model training lifecycle. They report that as models become more intelligent, they are harder to monitor through their CoT.

  3. Max ZeffX
    OpenAI research finds AI models are harder to monitor through their chain of thought

    AIOpenAI shares research on how chain-of-thought monitorability, covering no-CoT capability and CoT controllability, changes over the model training lifecycle. The research finds models become harder to monitor through their chain of thought as they scale toward more intelligent systems. OpenAI says further progress in pretraining will require new approaches to monitorability.

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