According to @gdb, new work on evaluating the quality of chain-of-thought monitorability has been announced, described as an encouraging opportunity for safety and alignment because it makes it easier to see what models are thinking. Source: @gdb on X, Dec 18, 2025, https://twitter.com/gdb/status/2001794601850708437. The post provides no metrics, datasets, code, release timeline, or references to crypto assets or market impact, so there are no direct trading signals; the immediate takeaway for crypto traders is only a headline about AI safety research progress. Source: @gdb on X, Dec 18, 2025, https://twitter.com/gdb/status/2001794601850708437.

According to Anthropic, their recent paper highlights the importance of utilizing real conversation data to enhance model alignment before deploying AI systems, which can significantly impact cryptocurrency trading strategies. They suggest that pre-deployment testing, with a focus on adherence to intended values, could optimize AI systems for trading efficiency. This development could lead to more accurate predictive models in crypto markets, providing traders with a competitive edge.