据《The Verge》报道,Anthropic 昨天发布了 Claude Cowork 的重大升级,正式将这一面向知识工作者的 AI 工具推向企业级应用场景。
智能体是能做事的A I。LLM是近几年AI领域最重要的发展。已经在语言理解与生成、对话交互以及知识整合等方面展示出超凡能力,但它是“缸中大脑”——擅长思考、分析与回答问题,却并不能真正地做事情。而在真实世界,大多数认知活动并不止于“给出答案”,而是要有完整的“认知-行动”闭环:我们要求AI得能够自主的拆解复杂需求,规划流程,调用工具和资源,实现从感知到决策再到执行的完整循环;进一步我们还希望AI的行动能够超出计算机和互联网领域,在物理世界中为我们做事情,则需要AI能够感知物理世界的信号,进行匹配具身的思考,通过设备/机器人把决策转化为执行,对现实环境产生直接影响。
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We'll have a review of the devices soon. In the meantime, head on through to our hands-on story for our initial impressions of the S26 Ultra.
The tradeoff is complexity. The microcode must be carefully arranged so that the instructions in delay slots are either useful setup for both paths, or at least harmless if the redirect fires. Not every case is as clean as RETF. When a PLA redirect interrupts an LCALL, the return address is already pushed onto the microcode call stack (yes, the 386 has a microcode call stack) -- the redirected code must account for this stale entry. When multiple protection tests overlap, or when a redirect fires during a delay slot of another jump, the control flow becomes hard to reason about. During the FPGA core implementation, protection delay slot interactions were consistently the most difficult bugs to track down.