Chain‑of‑Thought Monitoring Gives Safety Teams a Fragile Yet Powerful Window into AI Intent
Researchers from Anthropic, OpenAI and others argue that reasoning‑focused LLMs expose their decision‑making as natural‑language chains of thought. By scanning these CoTs, safety systems can spot malicious intent before the model acts, but the approach is brittle and depends on model design choices.