Chain of thought monitorability: A new and fragile opportunity for AI safety

The article discusses the potential of monitoring "chain of thought" reasoning in large language models (LLMs) to improve AI safety. The fragility suggests that this approach is not a guaranteed solution and may be easily circumvented or become ineffective as models evolve. The focus on monitorability implies a proactive approach to identifying and mitigating potential risks associated with LLMs.