According to Anthropic (@AnthropicAI), improving Chain of Thought (CoT) monitoring is essential for identifying safety issues in AI systems. The strategy requires making CoT more faithful and obtaining evidence of higher faithfulness in realistic scenarios. This could potentially lead to better trading decisions by enhancing AI troubleshooting, ensuring systems operate as intended. The paper suggests that other measures are also necessary to prevent misbehavior when CoT is unfaithful, which could impact AI-driven trading models. [Source: AnthropicAI Twitter]

According to Anthropic, monitoring Chain-of-Thoughts (CoTs) in trading strategies may not effectively identify rare, catastrophic behaviors, especially in contexts where CoT reasoning is not crucial. However, CoT monitoring could still be beneficial in detecting unwanted behaviors during training and evaluation phases in trading systems (source: AnthropicAI).