OpenAI published new research suggesting that monitoring how AI models reason internally, rather than only evaluating their final outputs, could be a powerful way to detect problematic or deceptive behavior. The study focuses on a concept known as observability, defined as the ability of humans or systems to predict an AI model’s behavior by examining its chain of thought (CoT) during inference. The main idea seems simple, but it can change everything. Developers and operators could watch the AI's reasoning process as it happens. This way, they won't have to wait for harmful or misleading responses to appear. If a model shows signs of deception, unsafe intent, or misalignment, we can intervene before any harm happens. OpenAI says this method could make it much tougher for advanced models to hide…
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