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).

According to OpenAI, the organization has developed detailed rubrics in collaboration with original paper authors to evaluate replication attempts of 20 papers. These rubrics contain 8,316 specific requirements assessed by an LLM judge, ensuring precise evaluation of replication fidelity.

According to @jessepollak, traders should consider creating multiple Zora coins to better understand and normalize their usage before forming a final judgment. This approach suggests that familiarity with the process might reveal the true potential and form of these tokens.