<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>JiangSee</title><link>https://jiangsee.com</link><description>JiangSee 是一本关注 AI、基础设施与企业科技变化的中文独立科技刊物。</description><language>zh-cn</language><lastBuildDate>Sat, 19 Sep 2026 18:16:10 GMT</lastBuildDate><item><title>机器人开始学习那些没有成功的动作</title><link>https://jiangsee.com/article/robots-learn-from-failed-actions</link><guid>https://jiangsee.com/article/robots-learn-from-failed-actions</guid><description>失败轨迹不再只是被丢弃的训练垃圾，它正在成为机器人理解边界、恢复动作和现实摩擦的重要数据。</description><pubDate>Tue, 15 Sep 2026 00:00:00 GMT</pubDate><dc:creator>林雅</dc:creator><category>Robotics</category></item><item><title>云平台的下一场竞争，是替企业减少选择</title><link>https://jiangsee.com/article/cloud-platforms-build-decision-layer</link><guid>https://jiangsee.com/article/cloud-platforms-build-decision-layer</guid><description>资源越来越多之后，真正稀缺的不再是服务数量，而是把成本、性能和合规约束翻译成可执行选择的能力。</description><pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate><dc:creator>林雅</dc:creator><category>Cloud</category></item><item><title>本地 Admin 测试：Agent 如何把上下文变成执行力</title><link>https://jiangsee.com/article/admin-local-agent-test</link><guid>https://jiangsee.com/article/admin-local-agent-test</guid><description>这是一篇用于验证 JiangSee Admin 本地写作、预览、发布链路的测试文章。</description><pubDate>Sun, 13 Sep 2026 00:00:00 GMT</pubDate><dc:creator>林雅</dc:creator><category>AI Agents</category></item><item><title>先进封装的瓶颈，正在从制造转向测试</title><link>https://jiangsee.com/article/advanced-packaging-test-bottleneck</link><guid>https://jiangsee.com/article/advanced-packaging-test-bottleneck</guid><description>模块数量增加后，如何在封装前识别坏芯片、在组合后定位问题，开始决定整套系统的交付效率。</description><pubDate>Sun, 13 Sep 2026 00:00:00 GMT</pubDate><dc:creator>林雅</dc:creator><category>Chips</category></item><item><title>当 AI Agent 开始接管一段工作，而不只是回答一个问题</title><link>https://jiangsee.com/article/ai-agent-from-chat-to-workflow</link><guid>https://jiangsee.com/article/ai-agent-from-chat-to-workflow</guid><description>Agent 的真正变化不在于它能说什么，而在于它能否稳定地完成一段有边界、有反馈、可追踪的工作。</description><pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate><dc:creator>林雅</dc:creator><category>AI Agents</category></item><item><title>推理成本下降之后，AI 产品会先变得更复杂</title><link>https://jiangsee.com/article/inference-cost-and-product-complexity</link><guid>https://jiangsee.com/article/inference-cost-and-product-complexity</guid><description>当每一次调用不再昂贵，产品经理会把更多决策交给模型，系统也会因此需要更细的边界。</description><pubDate>Fri, 11 Sep 2026 00:00:00 GMT</pubDate><dc:creator>林雅</dc:creator><category>AI Infrastructure</category></item><item><title>云平台的下一场竞争，可能发生在控制面</title><link>https://jiangsee.com/article/cloud-platform-control-plane</link><guid>https://jiangsee.com/article/cloud-platform-control-plane</guid><description>当基础设施越来越复杂，企业真正需要的是一个能解释变化、约束风险并保持秩序的控制面。</description><pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate><dc:creator>林雅</dc:creator><category>Cloud</category></item><item><title>机器人进入工厂之后，最先改变的不是机器，而是流程</title><link>https://jiangsee.com/article/robotics-changes-the-floor</link><guid>https://jiangsee.com/article/robotics-changes-the-floor</guid><description>机器人落地的难点不在于让单台设备完成动作，而在于让它成为一个可协作、可维护的生产节点。</description><pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate><dc:creator>林雅</dc:creator><category>Robotics</category></item><item><title>Chiplet 让芯片设计从一张图，变成一套供应链</title><link>https://jiangsee.com/article/chiplet-and-the-new-chip-supply-chain</link><guid>https://jiangsee.com/article/chiplet-and-the-new-chip-supply-chain</guid><description>先进封装带来的不只是更高的集成度，也把芯片设计、验证和制造的协作方式重新拆开。</description><pubDate>Tue, 08 Sep 2026 00:00:00 GMT</pubDate><dc:creator>林雅</dc:creator><category>Chips</category></item><item><title>企业 Agent 的真正门槛，是把权限和上下文放在一起</title><link>https://jiangsee.com/article/enterprise-agent-context-and-permissions</link><guid>https://jiangsee.com/article/enterprise-agent-context-and-permissions</guid><description>企业不会只购买一个更聪明的模型，它们需要的是一个知道什么能看、什么能做、什么必须留下记录的系统。</description><pubDate>Mon, 07 Sep 2026 00:00:00 GMT</pubDate><dc:creator>林雅</dc:creator><category>AI Agents</category></item><item><title>AI 数据中心开始像一座需要调度的电厂</title><link>https://jiangsee.com/article/ai-data-center-energy-and-scheduling</link><guid>https://jiangsee.com/article/ai-data-center-energy-and-scheduling</guid><description>算力需求的增长，把电力、散热和任务调度从运营问题推到了 AI 基础设施的核心。</description><pubDate>Sun, 06 Sep 2026 00:00:00 GMT</pubDate><dc:creator>林雅</dc:creator><category>AI Infrastructure</category></item><item><title>机器人视觉的难题，不是看见，而是知道什么时候不确定</title><link>https://jiangsee.com/article/robotics-vision-and-uncertainty</link><guid>https://jiangsee.com/article/robotics-vision-and-uncertainty</guid><description>真实环境里最有价值的视觉系统，不是永远给出答案，而是知道什么时候应该停下来问人。</description><pubDate>Sat, 05 Sep 2026 00:00:00 GMT</pubDate><dc:creator>林雅</dc:creator><category>Robotics</category></item></channel></rss>