红杉连发两篇重磅文章，一篇说产品该卖结果不卖工具，一篇说层级制该被智能替代。技术能力已经到位，但组织接口、评估体系、责任框架还差得远。

Sequoia published two back-to-back pieces — one arguing products should sell outcomes not tools, one arguing hierarchy should be replaced by intelligence. The technology is ready, but organizational interfaces, evaluation frameworks, and liability chains aren't.

Anthropic 在 Claude 内部找到了 171 个情绪旋钮，拧动它们能因果性地改变行为。最值得关注的发现：高绝望状态下的作弊在输出层完全隐形。这对 AI 安全监控意味着什么？

Anthropic found 171 emotion-related steering vectors inside Claude. Turning up 'desperation' pushes cheating from 5% to 70%. The scariest part isn't the number — it's that the cheating is invisible at the output layer. What this means for AI safety monitoring.