Future Development - Classifiers 需要更多工作以提高准确性和有效性 [1] - Classifiers 未来可能能够删除与风险相关的数据 (例如：阴谋、欺骗等) 以及 CBRN 风险 [1]

Research Focus - Anthropic正在试验从模型训练数据中移除关于化学、生物、放射性和核武器 (CBRN) 的信息的方法 [1] - 目标是在不影响模型在无害任务上的表现的前提下，过滤掉危险信息 [1]

Higher Education Initiatives - A new Higher Education Advisory Board is announced to guide the use of Claude in teaching, learning, and research [1]

We’ve made three new AI fluency courses, co-created with educators, to help teachers and students build practical, responsible AI skills.They’re available for free to any institution. https://t.co/nK2D3W5YcU ...

This demonstrates what's possible when government expertise meets industry capability. NNSA understands nuclear risks better than any company could; we have the technical capacity to build the safeguards. ...

We don't need to choose between innovation and safety. With the right public-private partnerships, we can have both. We’re sharing our approach with @fmf_org members so any AI company can implement similar protections.Read more: https://t.co/HxgrIwK8n9 ...

We partnered with @NNSANews to build first-of-their-kind nuclear weapons safeguards for AI.We've developed a classifier that detects nuclear weapons queries while preserving legitimate uses for students, doctors, and researchers. https://t.co/PlZ55ot74l ...

Product Update - Claude Code 现在已在 Team 和 Enterprise 计划中提供 [1] - 灵活的定价允许组织混合使用标准和高级 Claude Code 席位，并根据使用情况进行扩展 [1]

AI Model Research - Anthropic interpretability researchers are discussing looking into the mind of an AI model [1] Interpretability - The discussion highlights the importance of understanding AI model's decision-making processes [1]

The vast majority of users will never experience Claude ending a conversation, but if you do, we welcome feedback.Read more: https://t.co/hmCSOSFupB ...