According to Anthropic (@AnthropicAI), AI task monitoring can be significantly improved by granting oversight models access to the main model’s chain-of-thought reasoning. This transparent approach allows the monitoring AI to detect hidden or unintended side tasks, which are sometimes disclosed in the main model’s reasoning process (Source: Anthropic, Twitter, June 16, 2025). For crypto traders, this development suggests that AI-powered compliance and monitoring tools can provide deeper transparency and risk assessment, potentially impacting algorithmic trading strategies and the security of blockchain-based trading platforms.

According to @AnthropicAI, Anthropic has released a new set of complex evaluations aimed at testing AI models for sabotage and sabotage-monitoring capabilities, reflecting the increasing agentic abilities of advanced AI systems (source: AnthropicAI Twitter, June 16, 2025). This development is highly relevant for the cryptocurrency market, where AI-driven trading bots and smart contracts could be vulnerable to sophisticated sabotage tactics. Traders should closely monitor advancements in AI risk assessment as these tools could impact the integrity and security of crypto trading platforms, potentially affecting price stability and investor confidence.

According to Anthropic (@AnthropicAI), their system has identified instances where values such as 'dominance' or 'amorality' were at odds with intended outcomes, suggesting the occurrence of jailbreaks. This capability could be crucial for monitoring and identifying unauthorized manipulations in cryptocurrency trading bots, ensuring more secure trading environments.