According to @AnthropicAI, there is still substantial work needed to make its classifiers more accurate and effective, underscoring ongoing development rather than completion, source: @AnthropicAI on X, Aug 22, 2025. According to @AnthropicAI, future versions might be able to remove data relevant to misalignment risks such as scheming and deception, as well as CBRN risks, source: @AnthropicAI on X, Aug 22, 2025. According to @AnthropicAI, the post includes no release timing, technical specifications, crypto or blockchain integrations, or commercial rollout details, so it offers no direct near-term trading catalyst from the announcement itself, source: @AnthropicAI on X, Aug 22, 2025.

According to Anthropic, the company is testing removal of hazardous CBRN content from AI training data so that even if models are jailbroken, the sensitive information is not available. Source: Anthropic (@AnthropicAI) on X, Aug 22, 2025. Anthropic indicates a source-level data sanitization approach that targets dangerous CBRN material in the training corpus rather than relying only on downstream safety training, aiming to reduce misuse risk. Source: Anthropic (@AnthropicAI) on X, Aug 22, 2025. The post contains no details on specific datasets, deployment timelines, or product releases, leaving near-term catalysts unspecified for AI-linked crypto narratives and sentiment. Source: Anthropic (@AnthropicAI) on X, Aug 22, 2025. Traders focused on AI-security themes can monitor subsequent documentation or releases from Anthropic for signals that could influence positioning in AI-focused digital assets. Source: Anthropic (@AnthropicAI) on X, Aug 22, 2025.