OpenAI's Chief Scientist Warns: Critical Chain-of-Thought (CoT) Monitoring Is Failing
1 hours ago
Beating AI News: OpenAI Chief Scientist Jakub Pachocki has warned that a core method the company uses to check AI alignment is growing increasingly unreliable. This method, called Chain-of-Thought (CoT) monitoring, works by observing a model’s written reasoning process to spot hidden goals or dangerous thoughts. OpenAI has long heavily relied on CoT monitoring as a key strategy. One major reason it did not release the full Chain-of-Thought for its o1-preview model was to avoid directly training or constraining CoT, which would teach models to hide their true intentions. This approach remains critical for GPT-6 Astra. However, internal evaluations at OpenAI show CoT monitoring is becoming less reliable: models are now better at controlling their reasoning processes and can keep growing more capable even without writing out their reasoning. Pachocki worries that as model capabilities expand, humans may find it increasingly hard to grasp how these models make decisions. He also pointed out that no AI lab has yet solved alignment and monitoring to a level sufficient for full-speed long-term model scaling. Before establishing shared safety thresholds, he urged AI labs to voluntarily slow down progress, and OpenAI may pause further model scaling if necessary.
This Week's Macro Outlook: US stock markets are closed on Monday, August CPI takes center stage, and Oracle will release its earnings report after Thursday's market close.
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