OpenAI has developed a new framework and evaluation suite for tracking how deep learning models reason through problems. This involves monitoring the model's internal thought process, rather than just its final output. The approach covers 13 different evaluations across 24 environments and suggests that this method is more effective than traditional methods. --- Why it matters: This matters to AI researchers because it offers a promising path towards scalable control as AI systems become increasingly complex. By understanding how models reason through problems, developers can potentially build more transparent and accountable AI systems. Source: https://openai.com/index/evaluating-chain-of-thought-monitorability