According to @OpenAI, monitoring a model’s chain-of-thought is more effective than watching only its actions or final answers, and longer CoTs make it easier to spot issues, source: OpenAI on X, Dec 18, 2025, https://twitter.com/OpenAI/status/2001791132645437703. The post underscores that transparent reasoning traces should be prioritized for AI oversight and evaluation workflows because they provide stronger signals for detecting failures during monitoring, source: OpenAI on X, Dec 18, 2025, https://twitter.com/OpenAI/status/2001791132645437703. For trading relevance, the statement flags a focus area for AI tooling narratives intersecting crypto—such as verification-oriented agent frameworks and auditable inference logs—as potential catalysts for attention and due diligence screens, without asserting price impact, source: OpenAI on X, Dec 18, 2025, https://twitter.com/OpenAI/status/2001791132645437703.