"Google DeepMind 的 Gemini Robotics 是首个能看见、推理并物理交互真实世界的 AI 模型家族。它如何工作，基准测试表现如何，以及与 Boston Dynamics 的合作为什么意味着新时代的开始。"
"Google DeepMind's Gemini Robotics is the first AI model family that can see, reason about, and physically interact with the real world. Here is how i
"Anthropic 联合12家科技巨头，构建了一个因进攻能力太强而拒绝公开发布的网络安全AI模型。Project Glasswing 在关键基础设施中发现了数千个零日漏洞。这对软件行业意味着什么。"
"Anthropic assembled 12 tech giants and built a cybersecurity AI model too dangerous to release publicly. Project Glasswing found thousands of zero-da
提示词工程是错误的抽象层级。AI 原生工作流设计分为三层：模型交互层、工作流编排层和组织整合层。本文详解各层职责、分工与依赖关系，并对比 Naresh 的 6 层模型，帮助组织找到真正的投入方向。
AI生产力悖论真实存在：开发者人均PR合并数提升98%，但组织级交付却纹丝不动。原因藏在个体加速与团队摩擦的结构性错位里——工具让你更快，却让团队更慢。
Discover why prompt engineering is the wrong abstraction level. Learn the three-layer framework for AI workflow design that separates model interactio
The AI productivity paradox is real: 98% more PRs yet org-level delivery flat. Here's why AI coding assistants make developers faster while making tea
Jensen Huang says engineers should spend half their salary on tokens. But the real question isn't how much you spend—it's how much lasting value each
Jensen Huang 说工程师应该把年薪一半花在 token 上。但问题不是花多少，而是每花一块钱 token 产生多少持久价值。有体系的人烧 token 是投资，没体系的人烧 token 是消费。
