当简单的积木通过0.002毫米的精密公差构建出无限可能,它就不再只是玩具,而是一套跨越年龄的物理语言。Lena 将带你拆解乐高如何利用宜家效应与极致标准化,将塑料砖块点石成金,成为成年人的精神慰藉与理财产品。

现在的顶级AI硬件已经不再仅仅是运行App的容器,它们正致力于杀死“App模式”,实现从“点选”到“意图识别”的跨越。
说一个非常有意思的consumer product 给我听,由浅入深的去说






大行动模型(Large Action Model)是如Rabbit R1等新一代AI硬件的核心技术。与传统的智能助手(如早期Siri)仅能提供信息检索或天气查询不同,LAM能够像人类一样“观察”并“操作”软件界面。它不再依赖于调用App的API,而是直接在后台模拟人类的导航操作来完成复杂任务,例如直接在订餐平台上完成从选餐到支付的全流程,实现了从“信息检索”到“意图执行”的跨越。
Humane AI Pin的失败主要归结于高昂的成本、硬件缺陷以及较低的执行效率。该设备售价高达699美元且需支付每月24美元的订阅费,但在实际使用中存在机身易过热、续航仅6小时以及在阳光下难以看清激光投影等问题。更核心的是,其任务处理的“幻觉率”高达22%,反应速度远慢于竞争对手,证明了在基础任务执行不够可靠的情况下,单纯的情感价值难以支撑其商业模式。
智能手机并不会被完全取代,而是正在经历功能解耦与自我救赎。以iPhone 18 Pro Max为例,手机凭借极致的物理硬件(如专业级摄像头和强大的本地芯片)依然是不可替代的顶级创作工具和个人电脑。未来的趋势是多设备协同:手机回归其作为超级计算和创作终端的本质,而琐碎的、低频的自动化交互任务(如订咖啡、发邮件)则交由更轻便、更垂直的AI原生硬件处理。
目前的AI硬件市场主要分为三类。第一类是以Apple Vision Pro为代表的空间计算设备,适合需要无限屏幕和多窗口协作的专业生产力用户;第二类是以Rabbit R1为代表的“行动派”口袋助理,适合追求性价比、喜欢尝试自动化流程和DIY小工具的极客;第三类是以Ray-Ban Meta为代表的智能眼镜,通过多模态感知实现无感化交互,适合在烹饪、修理等需要解放双手的日常生活场景中使用。
From Columbia University alumni built in San Francisco
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From Columbia University alumni built in San Francisco
