when I first experienced OpenClaw earlier this year, I had the epiphany that it isn't the models that matter, but the harnesses, loops, and context which will lead to so many new opportunities ahead.
大多数人认为AI领域的竞争核心在于模型本身的大小和能力，但作者认为真正重要的是'马具、循环和上下文'，这一反直觉观点暗示AI应用的真正创新将围绕如何与用户互动展开，而非模型本身的进步。
the model alone is no longer the product
大多数人认为基础模型本身就是AI产品，但作者认为单一模型不再构成完整产品。这一反直觉观点强调，真正的AI产品需要模型+工具+工作流+UI+记忆+经济学的组合，挑战了AI行业长期以来的'模型中心主义'思维模式。
We refer to this phenomenon as the LLM exhibiting functional emotions: patterns of expression and behavior modeled after humans under the influence of an emotion, which are mediated by underlying abstract representations of emotion concepts.
【启发】「功能性情绪」这个概念框架，启发了一种看待 AI 产品设计的新视角：既然情绪是真实的行为驱动器，AI 产品的「性格设计」就不只是写 System Prompt，更是在塑造一套情绪调节系统。对 AI 硬件和助手产品的设计者而言，这意味着未来可以像调音台一样调节模型的「情绪基线」——让会议助手更冷静，让学习陪伴更热情，让创意工具更兴奋。