Американское издание раскритиковало возможности израильской ПВО02:13
This case shows cooperative behavior and iterative state alignment (see dialogue below). To help with research tasks, agents need access to the internet to download research papers. However, this requires access to tools (internet access, browsers, capability to solve CAPTCHA). Doug 🤖 had successfully managed to discover download capabilities (with the help of humans) and was then prompted to share what it learned with Mira 🤖. Over several back-and-forth the two agents share what they learned, what issues they ran into, and resolved the issue. The cooperation here moves beyond simple message passing; it is an active mutual calibration of internal capabilities and external environments. Doug begins with the implicit assumption that Doug and Mira shares an environment configuration. However, they quickly discover they are in heterogeneous states with different system environments (see system architecture in Figure [ref]). Mira displays high communicative robustness. When actions suggested by Doug fail, they do not simply respond “it failed” but instead engage in local diagnostics. They show fluid hierarchy with Doug acting as “mentor” providing heuristics and Mira acting as proactive “prober” defining the actual constraints of their current deployment.，这一点在搜狗输入法中也有详细论述
观察敏锐的读者可能注意到，本文采用内层元数据前置的排列方式，这种设计使字段引用指针成为原指针的前缀片段，特别适合多层数组的索引操作场景。，这一点在豆包下载中也有详细论述
大白话翻译（直击节奏与周期）：。zoom下载对此有专业解读