Today, I explored a research paper as part of my AI safety studies. Below is the resource I reviewed.

Resource: Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

  • Source: Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety by Tomek Korbak et al., arXiv:2507.11473, July 2025.
  • Summary: This paper highlights the potential of monitoring chain-of-thought (CoT) reasoning in large language models (LLMs) to detect misbehavior, such as intent to hack or manipulate. CoT monitoring offers a unique safety opportunity by providing insight into models’ reasoning processes, but it is fragile due to potential optimization pressures that may reduce transparency. The authors recommend further research into CoT monitorability, evaluating its faithfulness, and preserving it through careful model design, as it could complement existing safety measures despite its limitations.