Refine OpenClaw payloads and reorganize docs

This commit is contained in:
zhuyongxin
2026-03-26 10:20:07 +08:00
parent cecf4d3ae7
commit 27fe1e8882
155 changed files with 8999 additions and 87 deletions
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{
"candidate_id": "cand:sha256:4139f277b8cb621b02b3398f8a7bd78e3f9eef7bcd320b70b8590e802540c6ca",
"title": "套壳中国大模型撑起500亿美元估值?扒一扒 Cursor 的\"套壳\"疑云",
"url": "http://www.ruanyifeng.com/blog/2026/03/kimi-cursor.html",
"published_at": "2026-03-21T10:19:11Z",
"author": "阮一峰",
"source_name": "阮一峰的网络日志",
"summary": "AI编程工具Cursor推出的Composer 2模型被证实套壳中国Kimi K2.5模型,引发侵权争议。Kimi官方确认Cursor通过Fireworks AI获得授权,不存在侵权。作者分析Cursor隐瞒事实是为了支撑其不断膨胀的估值,将其包装成大模型公司。",
"highlights": [
"Cursor的Composer 2模型被技术手段揭露实际调用的是Kimi K2.5模型。",
"Kimi官方确认Cursor通过Fireworks AI获得授权,因此不构成侵权。",
"Cursor隐瞒使用Kimi模型,被认为是为了支撑其高达500亿美元的估值。",
"事件显示中国大模型技术已具备输出能力,国产模型与国外旗舰差距缩小。",
"Composer 2性能低于GPT-5.4但成本最低,生成速度较快。"
],
"keywords": [
"Cursor",
"Composer 2",
"Kimi K2.5",
"Fireworks AI",
"套壳模型",
"模型授权",
"估值泡沫",
"AI编程工具"
],
"topics": [
"人工智能",
"大模型",
"商业伦理",
"技术争议",
"创业融资"
],
"category": "观点评论",
"worth_keeping": true,
"worth_reason": "文章深入剖析了AI行业的热点事件,涉及技术真相、商业动机和行业趋势,具有较高的参考价值。",
"selection_decision": "review",
"selection_reason": "Worth-keeping signal is positive but no stronger keep rule matched.",
"digest_section_hint": "insights",
"digest_rank": 60
}
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{
"decision": "keep",
"matched_rules": [
"keep-worth-keeping-method",
"review-worth-keeping-other"
],
"reasons": [
"Structured summary marked the content as worth keeping in a durable category.",
"Worth-keeping signal is positive but no stronger keep rule matched."
],
"labels": [
"durable",
"needs-review",
"summary"
],
"priority": 80,
"matches": [
{
"rule_id": "keep-worth-keeping-method",
"decision": "keep",
"reason": "Structured summary marked the content as worth keeping in a durable category.",
"labels": [
"summary",
"durable"
],
"priority": 80
},
{
"rule_id": "review-worth-keeping-other",
"decision": "review",
"reason": "Worth-keeping signal is positive but no stronger keep rule matched.",
"labels": [
"summary",
"needs-review"
],
"priority": 60
}
]
}
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{
"decision": "keep",
"matched_rules": [
"keep-worth-keeping-method",
"keep-interest-topic",
"review-worth-keeping-other"
],
"reasons": [
"Structured summary marked the content as worth keeping in a durable category.",
"Topics overlap with current interest profile.",
"Worth-keeping signal is positive but no stronger keep rule matched."
],
"labels": [
"durable",
"interest",
"needs-review",
"summary",
"topic-match"
],
"priority": 80,
"matches": [
{
"rule_id": "keep-worth-keeping-method",
"decision": "keep",
"reason": "Structured summary marked the content as worth keeping in a durable category.",
"labels": [
"summary",
"durable"
],
"priority": 80
},
{
"rule_id": "keep-interest-topic",
"decision": "keep",
"reason": "Topics overlap with current interest profile.",
"labels": [
"interest",
"topic-match"
],
"priority": 75
},
{
"rule_id": "review-worth-keeping-other",
"decision": "review",
"reason": "Worth-keeping signal is positive but no stronger keep rule matched.",
"labels": [
"summary",
"needs-review"
],
"priority": 60
}
]
}
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{
"title": "信息过载时代,我的漏斗式阅读工作流",
"url": "https://shawnxie.top/blogs/tools/read-flow-2026.html",
"summary": "作者为解决信息过载问题,构建了一套以RSS为上游、FreshRSS为聚合池、OpenClaw为编排层的漏斗式工作流,通过分层筛选、AI精选和人工精读,将信息逐步沉淀至Lumina知识库,形成稳定可控的个人信息处理闭环。",
"highlights": [
"以RSS为主统一信息源,通过转换工具将公众号、社交动态等非RSS内容标准化接入。",
"Digest预处理负责去重、抓取正文和生成摘要,Daily Review结合AI将内容分类为日报栏目。",
"人工精读是长期价值判断的核心环节,只有经过筛选的内容才进入Lumina知识库沉淀。",
"通过轻量兴趣画像和反馈机制,系统能逐步优化筛选排序,同时避免形成信息茧房。",
"沉淀后的内容可进一步生成周刊或主题文章,将信息流转化为长期资产。"
],
"keywords": [
"RSS",
"FreshRSS",
"OpenClaw",
"Digest",
"Daily Review",
"Lumina",
"信息漏斗",
"人在回路"
],
"topics": [
"个人信息管理",
"阅读工作流",
"知识沉淀"
],
"category": "方法论",
"worth_keeping": true,
"reason": "系统性地阐述了个人信息处理的分层架构与工程实践,兼具理念清晰度和可操作性,对知识工作者有较高参考价值。"
}
@@ -0,0 +1,32 @@
{
"title": "信息过载时代,我的漏斗式阅读工作流",
"url": "https://shawnxie.top/blogs/tools/read-flow-2026.html",
"summary": "文章提出一套应对信息过载的“漏斗式阅读工作流”,以RSS采集、FreshRSS聚合、Digest预处理、Daily Review精选、人工精读和Lumina沉淀构成闭环。核心不是全自动读完互联网,而是分层过滤噪音、保留人工价值判断,并用轻量反馈持续优化筛选。",
"highlights": [
"作者认为信息焦虑的核心已从“获取不到”转向“处理不过来”,疲惫主要来自大量低效判断与缺少沉淀回路。",
"整套流程以OpenClaw为编排层,串联RSS信息源、FreshRSS、飞书文档、Lumina及AI处理环节,便于快速迭代。",
"Digest负责去重、抓取正文、质量检查、噪音过滤、生成摘要和初步排序,把原始信息整理成可判断候选集。",
"Daily Review借助LLM做栏目化精选与结构化整理,但作者强调AI只做辅助,长期价值判断必须保留人为参与。",
"系统最终通过Lumina沉淀高价值内容,并用轻量兴趣画像反向影响排序,形成不过度迎合的个性化闭环。"
],
"keywords": [
"OpenClaw",
"FreshRSS",
"Lumina",
"Digest",
"Daily Review",
"RSSHub",
"RSS-Bridge",
"Human in the loop"
],
"topics": [
"个人知识管理",
"信息过载治理",
"自动化工作流",
"内容筛选与沉淀",
"个性化信息系统"
],
"category": "工具实践",
"worth_keeping": true,
"reason": "文章给出了从信息采集、预处理到沉淀反馈的完整可执行链路,对搭建个人信息处理系统有较强参考价值。"
}
@@ -0,0 +1,32 @@
{
"title": "信息过载时代,我的漏斗式阅读工作流",
"url": "https://shawnxie.top/blogs/tools/read-flow-2026.html",
"summary": "文章提出一套应对信息过载的“漏斗式阅读工作流”,以RSS采集、FreshRSS聚合、Digest预处理、Daily Review精选、人工精读和Lumina沉淀构成闭环。核心不是全自动读完互联网,而是分层过滤噪音、保留人工价值判断,并用轻量反馈持续优化筛选。",
"highlights": [
"作者认为信息焦虑的核心已从“获取不到”转向“处理不过来”,疲惫主要来自大量低效判断与缺少沉淀回路。",
"整套流程以OpenClaw为编排层,串联RSS信息源、FreshRSS、飞书文档、Lumina及AI处理环节,便于快速迭代。",
"Digest负责去重、抓取正文、质量检查、噪音过滤、生成摘要和初步排序,把原始信息整理成可判断候选集。",
"Daily Review借助LLM做栏目化精选与结构化整理,但作者强调AI只做辅助,长期价值判断必须保留人为参与。",
"系统最终通过Lumina沉淀高价值内容,并用轻量兴趣画像反向影响排序,形成不过度迎合的个性化闭环。"
],
"keywords": [
"OpenClaw",
"FreshRSS",
"Lumina",
"Digest",
"Daily Review",
"RSSHub",
"RSS-Bridge",
"Human in the loop"
],
"topics": [
"个人知识管理",
"信息过载治理",
"自动化工作流",
"内容筛选与沉淀",
"个性化信息系统"
],
"category": "工具实践",
"worth_keeping": true,
"reason": "文章给出了从信息采集、预处理到沉淀反馈的完整可执行链路,对搭建个人信息处理系统有较强参考价值。"
}
@@ -0,0 +1,37 @@
{
"valid": true,
"errors": [],
"warnings": [],
"normalized_result": {
"title": "信息过载时代,我的漏斗式阅读工作流",
"url": "https://shawnxie.top/blogs/tools/read-flow-2026.html",
"summary": "文章提出一套应对信息过载的“漏斗式阅读工作流”,以RSS采集、FreshRSS聚合、Digest预处理、Daily Review精选、人工精读和Lumina沉淀构成闭环。核心不是全自动读完互联网,而是分层过滤噪音、保留人工价值判断,并用轻量反馈持续优化筛选。",
"highlights": [
"作者认为信息焦虑的核心已从“获取不到”转向“处理不过来”,疲惫主要来自大量低效判断与缺少沉淀回路。",
"整套流程以OpenClaw为编排层,串联RSS信息源、FreshRSS、飞书文档、Lumina及AI处理环节,便于快速迭代。",
"Digest负责去重、抓取正文、质量检查、噪音过滤、生成摘要和初步排序,把原始信息整理成可判断候选集。",
"Daily Review借助LLM做栏目化精选与结构化整理,但作者强调AI只做辅助,长期价值判断必须保留人为参与。",
"系统最终通过Lumina沉淀高价值内容,并用轻量兴趣画像反向影响排序,形成不过度迎合的个性化闭环。"
],
"keywords": [
"OpenClaw",
"FreshRSS",
"Lumina",
"Digest",
"Daily Review",
"RSSHub",
"RSS-Bridge",
"Human in the loop"
],
"topics": [
"个人知识管理",
"信息过载治理",
"自动化工作流",
"内容筛选与沉淀",
"个性化信息系统"
],
"category": "工具实践",
"worth_keeping": true,
"reason": "文章给出了从信息采集、预处理到沉淀反馈的完整可执行链路,对搭建个人信息处理系统有较强参考价值。"
}
}
@@ -0,0 +1,32 @@
{
"title": "信息过载时代,我的漏斗式阅读工作流",
"url": "https://shawnxie.top/blogs/tools/read-flow-2026.html",
"summary": "文章提出一套应对信息过载的“漏斗式阅读工作流”,以RSS采集、FreshRSS聚合、Digest预处理、Daily Review精选、人工精读和Lumina沉淀构成闭环。核心不是全自动读完互联网,而是分层过滤噪音、保留人工价值判断,并用轻量反馈持续优化筛选。",
"highlights": [
"作者认为信息焦虑的核心已从“获取不到”转向“处理不过来”,疲惫主要来自大量低效判断与缺少沉淀回路。",
"整套流程以OpenClaw为编排层,串联RSS信息源、FreshRSS、飞书文档、Lumina及AI处理环节,便于快速迭代。",
"Digest负责去重、抓取正文、质量检查、噪音过滤、生成摘要和初步排序,把原始信息整理成可判断候选集。",
"Daily Review借助LLM做栏目化精选与结构化整理,但作者强调AI只做辅助,长期价值判断必须保留人为参与。",
"系统最终通过Lumina沉淀高价值内容,并用轻量兴趣画像反向影响排序,形成不过度迎合的个性化闭环。"
],
"keywords": [
"OpenClaw",
"FreshRSS",
"Lumina",
"Digest",
"Daily Review",
"RSSHub",
"RSS-Bridge",
"Human in the loop"
],
"topics": [
"个人知识管理",
"信息过载治理",
"自动化工作流",
"内容筛选与沉淀",
"个性化信息系统"
],
"category": "工具实践",
"worth_keeping": true,
"reason": "文章给出了从信息采集、预处理到沉淀反馈的完整可执行链路,对搭建个人信息处理系统有较强参考价值。"
}