Today, almost all of our initial security alerts are triaged by intelligence before humans are looped in. This helps reduce toil for defenders, improves response time, and lets humans spend time where their skills are most leveraged—in discernment, judgement, and applied expertise.
OpenAI已经把AI部署为安全运营的第一道防线：机器处理初级分类，人类只介入需要判断力的高价值决策。这正是EP.99「分级授权成为默认」的核心逻辑——AI拿走执行层，人类保留决策层，权责边界通过技术设计而非人工约定来划定。
Claude volunteered to write its findings up as a paper, and recommended that a human number theorist validate its findings
Claude主动建议请人类数学家验证——AI主动寻求外部验证，知道自己可能出错。这种行为比结果本身更值得关注：一个足够智能的系统应该知道何时需要人类背书，而不是盲目自信。这是alignment的具体体现。
We describe this workflow as near-autonomous, not fully autonomous, because human chemists still made important decisions throughout the process
OpenAI在描述自己最引人注目的科学成果时，明确标注了人类介入的边界——包括选择测试提案、纠正实验细节、准备试剂、手动重复关键实验。这种透明度有两个作用：防止过度解读，以及为未来进展设定可测量的基准。下一个值得关注的里程碑，是这些人工干预点逐一被自动化取代的时刻。