{ "text": "现在关于Obsidian AI知识库的教程很多\n有的只讲某个工具\n有的一上来就是卡巴西知识库\nAI Viki 自身长知识库\nAgent 系统\n听起来很厉害\n但真正到自己动手的时候\n还是不知道第一步怎么落地\n如果一开始就追求AI全自动化\n知识库还没有搭稳\n就很容易遇到难维护\n不可控 AI幻觉这些问题\n所以这期分享\n我们先不做大而全的系统\n也不做一步到位的全自动化\n而是回到知识库和AI本身\n先搭建一个最小可用版\n这里的最小可用就是先把最关键的路径跑通\n资料能进来\nAI能处理\n知识能沉淀\n最后能产生输出\n更复杂的AIWiki\n自动化\n自生长知识库都可以后面再继续接代\n具体来说我们会按照三个步骤来做\n第一步先搭建Obsidian本地知识库\n第二步把AI能力接进来\n第三步用知识积累和项目推进\n这两个真实场景把这套系统真正跑起来\n看完之后我们至少知道\n本地知识库怎么搭建\nAI能力怎么接入\n资料怎么积累\n项目怎么推进\n以及知识最后怎么沉淀和产生结果\n对于Obsidian搭建AI知识库\n我们首先要搭建一个本地知识库\n因为后面AI要读取分析和更新的\n本质上都是这个仓库里的\nMarkdown文件和目录结构\n各种外部资料和个人想法进来之后\n会先变成一篇篇Markdown笔记\n保存在Obsidian的本地仓库里\n后面无论是推进项目\n沉淀知识\n还是让AI基于有资料做分析\n本质上都是围绕这个仓库在工作\n这里我们直接用之前分享过的\nObsidian入门启动帮你的目录结构\n我们先简单看一下\n收件箱是临时入口\n用来接触资料想法或临时记录\n项目放正在推进的具体项目\n领域放长期维护的领域和能力\n资源放长期参考资料\n归档放已经结束或者暂时不用的内容\n模板放常用模板\n附件放图片PDF和附件素材\n这套结构参考了PAIA的思想\n但并不复杂\n就是一条信息进来之后\n不是先问它属于什么主题\n而是先问它接下来要服务什么\n我在这个基础上\n加了收件箱模板和附件这些目录\n是为了更加适合正式使用场景\n我们进一步理解一下\n这套目录背后的核心逻辑\n新的资料和想法\n先进入收件箱\n先接住降低输入门槛\n整理之后\n有长期参考价值的内容\n进入资源\n资源一方面可以被项目调用\n用来服务具体目标\n另一方面也可以提炼出\n长期方法和判断\n沉淀到领域\n如果一开始就是明确的项目想法\n也可以从收件箱\n直接升级到项目\n这是一条辅助路径\n项目完成之后就进入归档\n这样资料项目\n长期知识和归档\n都有自己的位置\n后面AI只能基于\n这个清晰的结构工作\n火不这点进入AI的方式\n其实很多\n我之前已经专门用一个四项线图系统梳理过\n大家感兴趣可以回去看那期\n后来出现的Codex Hermes Agent\n或者OpenCloud这类Agent的工具\n直接操作Obsidian底层仓库\n大体也可以归到第二项线\nAI主动操作文件层\n但这次我们先聚焦一种最基础\n最贴近知识管理本身的接入方式\n用Cloudian加CLI Agent\n把AI能力接入Obsidian\n在真正操作之前\n我们先看整体架构\n这一点是知识库和工作界面\nCloud点是连接器\nCli Agent\n执行任务的AI\nAgent可以选择Cloud Code\nCodec CLI\n或者OpenCode\n模型可以来自官方订阅\n也可以通过三方模型转接\n下面这条就是等一下要跑的最小验证流程\n第一先选择一个Cli Agent\n第二完成登录或者通过三方模型做转接\n第三在终端里测试它能不能正常对话\n第四,回到Obsidian\n在Cloudian插件里启用这个Agent\n第五,让它读取当前笔记\n并做一次简单的总结\n接下来我们就按刚才的五步流程真实跑一遍\n第一步,先选择一个Cli Agent\n这里可以选择Cloud Code, Codecli或者OpenCode\n三选一就可以\n我这里选择Codecli做演示\n第二步,选择登录或者模型转接\n我这里已经提前完成了Codecli的登录\n所以不现场展示了\n如果能用官方订阅\n就直接使用官方订阅\n如果不方便\n可以使用CC-Switch\n转接第三方模型\n这个部分本身是一个独立的话题\n网上的教程也很多\n这里先不展示了\n如果大家对此有疑问\n可以在评论区留言\n第三步\n在通装里测试\n这个Agent能不能正常对话\n比如我这里输入Codex\n进入对话之后\n简单问一句你好\n我们可以看到\nCodex能正常回复\n说明本地Agent已经准备好了\n第四步\n在Cloudian里启动这个Agent\n我们回到Obsidian\n打开设置\n进入社区插件\n找到并打开\n已经安装并且启用的Cloudian\n然后切换到上面的Codex标签\n点击启用Codex服务商\n一般来说到这里\nCloudian就可以正常调用Codex了\n第五步\n让它读取当前笔记\n做一个简单的总结\n我们点击左侧边来的Cloudian\n右侧会自动打开一个新的对话面板\n然后把模型切换到当前可用模型\nDBT5.5\n接着从左侧目录里打开一个笔记\n这篇笔记就会作为当前上下文记录对话\n然后我们输入\n帮我总结一下这个笔记的内容\n如果AI能基于这个笔记做出总结\n就说明这一步跑通了\n前面我们已经把本级知识库搭建好了\n也把AI接进来了\n这其实意味着一个静态的AI知识库已经完成了\n但知识库真正有价值\n是让它真正跑起来\n也就是资料可以进来\nAI可以参与处理\n最后这些内容能够成练成知识\n或者服务一个具体的项目\n所以接下来\n我会用两个真实的场景来演示\n积累型场景和项目型场景\n先看第一个场景积累型\n比如我看到一篇Obsidian CEO的采访\n觉得这篇资料很有参考价值\n就想把它保存到本地知识库里\n这里我用的是Obsidian官方的Web Clipper插件\n它可以把大部分网页内容一键检查\n并转成Markdown保存到Obsidian\n回到这篇文章\n我们点击浏览器里的Obsidian插件\n这里可以预览\n检查了内容\n也可以设置它保存到Obsidian的哪个路径\n我点击添加了Obsidian\n这篇文章就会保存到这个位置\nInbox收件箱\nClippings\n回到Obsidian\n可以看到\n这篇网页已经变成了一篇本地Markdown笔记\n到这里\n外部资料进入Obsidian这一步就完成了\n接下来我们对它做一轮简单的处理\n我先用快捷命令\n把这篇笔记从收件箱转移到资源\n因为这篇文章可以作为一份原始资料\n后面可以长期参考\n然后我在正文上方加一个标题\n原文把原始内容保留下来\n再在它上面加一个标题\n内容总结\n准备让AI把总结写到这里\n接着在这篇笔记打开的情况下\n我打开Cloudium\n选中内容总结这个位置\n告诉AI\n给我总结这篇文章内容\n并更新到这里\nAI分析完成之后\n就会把总结直接写到这篇笔记里\n我快速看了一下总结内容\n发现里面有些观点还有价值\n值得以后反复使用\n我在领域里新建了一篇长篇笔记\n叫Obsidian学习\n然后把这些关键观点整理进去\n例如对Obsidian使用者的启发\n并且加上原始资料的双链链贴\n这样一个资料积累的闭环就完成了\n网页资料进入本地\nAI参与处理\n仍然来判断哪些内容值得长期保存\n最后长期知识和原始来源还能互相追溯\n再看第二个场景项目型\n比如我想到一个问题\n和这点为什么适合AI时代的知识管理\n我会先把这个想法寄到每日笔记里\n日常使用时\n我一般会使用手机加语音输入法\n快速记录\n这里为了演示就直接在电脑上操作\n后面我觉得这个问题值得继续推进\n可能发展成文章或者视频\n就会在项目里\n这个笔记叫\n我不知道为什么适合AI时代的知识管理\n-index\n然后我先建四个一级标题\n背景分析输出常见问题\n背景放资料\n分析放思考\n输出放成果\n常见问题放过程中沉淀下来的Q&A\n接下来无不千问AI\n如果我要研究\n为什么Obsidian适合AI时代的知识管理\n需要从哪些角度查找资料\nAI给出研究方向之后\n我觉得这个问题本身也有价值\n就选择常众问题这个区域\n告诉AI\n在当前目录新建一篇Q&A笔记\n记录上面这个问题回答\n并在这里添加双链\nAI成功完成了Q&A笔记创建\n并在目标位置添加好了双链\n然后我会根据这些方向\n去收集资料\n这个过程和前面积累型流程类似\n调查器操作更加复杂\n而且需要自动化\n以后再单独分享\n这里就不展开了\n我们直接看初步成果\n相关资料已经进入了收件箱\n下一步\n我选中背景这个区域\n告诉AI\n把收件箱\nClipping's里的相关资料\n迁移到资源\n并把相关资料的双链\n放到背景下面\nAI执行完成之后\n这些参考资料的链接\n就会整理到背景区域下面\n前面我们在积累型场景\n里保存的那篇\nObsidian CEO的采访\n也可以顺手加进来\n这里补充一句\n克劳利亚日常调用AI的时候\n经常会用到文件或者目录路径\n我们可以点击笔记或者目录\n或者相对路径或者绝对路径\n在Obsidian中一般使用相对路径即可\n下面我们进一步基于资料总结关键要点\n我告诉AI\n基于背景中的参考资料\n给我总结关键要点\n记录在分析标题下面\n要剪辑要精力要罗列\n不要太长\n基于分析的要点\n我们可以让AI进一步生成\n可以交付的成果\n我告诉AI\n基于分析的要点\n创建一篇简短文章\n并把文章双链放到输出下面\n最后我想更进一步\n把文章内容做可视化表达\n我告诉AI\n利用这个skill\n基于文章的核心结构\n生成一个关系图\n并把这张图的双链\n也放到输出下面\n到这里一个项目型流程就跑通了\n一个临时问题\n从每日笔记进入项目\n相关资料进入资源\nAI帮我拆解分析和生成输出\n最后文章和可视化结果\n都回到项目index文件里统一管理\n后面有新的想法\n也可以继续更新分析迭代文章\n或者把更长期的判断沉淀到领域\n通过这两个场景\n我们就能看到这个AI知识库已经跑起来了\n积累型解决的是\n资料怎么从临时收集变成长期可复用的知识\n项目型解决的是\n知识怎么服务一个具体目标\n并推动它形成成果\n而这背后其实也体现了\nObsign这条结构的价值\n很想看\n资料领域项目各有位置\n总想看原始资料分析内容长期知识和项目成果又可以通过双链串起来\n到这里我们完成了三件事\n打好而不自定本地仓库\n介入AI能力\n然后用两个正式场景把这套系统跑起来\n这两个场景背后其实是同一套流程\n知识输入\n知识处理\n知识输出\n输入是把资料想法需求放进来\n处理是让AI帮我们总结提列和关联\n输出是让这些知识真正产生价值\n并推进项目\n生成内容或知识决策\n这次我们做的最小可用版本\n可以作为一个很好的起点\n后面如果我们继续升级\n也可以围绕这个环节来做\n输入端可以介入更多资料类型\n比如网页PDR5视频\n音频Lotion笔记\nWord等各种资料\n处理端可以参考卡巴基的知识库思想\n让AI自动分类整理和总结资料\n仍主要负责判断和决策\n输出端可以把知识转成文章\n图文PPT视频播客等各种成果\n后面我会继续更新\nObsetting AI知识库的升级内容\n感兴趣的话可以持续关注\n如果本期内容对你有所帮助\n欢迎点赞收藏关注\n我是明丽飞\n我们下期见", "language": "zh", "duration": 709.625063, "segments": [ { "start": 0.0, "end": 3.1, "text": "现在关于Obsidian AI知识库的教程很多", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 3.1, "end": 4.62, "text": "有的只讲某个工具", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 4.62, "end": 6.68, "text": "有的一上来就是卡巴西知识库", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 6.68, "end": 8.46, "text": "AI Viki 自身长知识库", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 8.46, "end": 9.24, "text": "Agent 系统", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 9.24, "end": 10.3, "text": "听起来很厉害", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 10.3, "end": 12.1, "text": "但真正到自己动手的时候", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 12.1, "end": 13.72, "text": "还是不知道第一步怎么落地", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 13.72, "end": 16.2, "text": "如果一开始就追求AI全自动化", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 16.2, "end": 17.38, "text": "知识库还没有搭稳", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 17.38, "end": 19.34, "text": "就很容易遇到难维护", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 19.34, "end": 21.32, "text": "不可控 AI幻觉这些问题", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 21.32, "end": 22.52, "text": "所以这期分享", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 22.52, "end": 24.22, "text": "我们先不做大而全的系统", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 24.22, "end": 26.24, "text": "也不做一步到位的全自动化", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 26.24, "end": 28.36, "text": "而是回到知识库和AI本身", "chunk": 0, "language": "zh", "avg_logprob": -0.10906662259783063, "no_speech_prob": 2.5358727270829995e-11, "compression_ratio": 1.317548746518106 }, { "start": 28.36, "end": 30.56, "text": "先搭建一个最小可用版", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 30.56, "end": 33.8, "text": "这里的最小可用就是先把最关键的路径跑通", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 33.8, "end": 34.78, "text": "资料能进来", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 34.78, "end": 35.6, "text": "AI能处理", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 35.6, "end": 36.56, "text": "知识能沉淀", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 36.56, "end": 37.82, "text": "最后能产生输出", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 37.82, "end": 38.96, "text": "更复杂的AIWiki", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 38.96, "end": 39.68, "text": "自动化", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 39.68, "end": 42.4, "text": "自生长知识库都可以后面再继续接代", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 42.4, "end": 45.2, "text": "具体来说我们会按照三个步骤来做", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 45.2, "end": 47.92, "text": "第一步先搭建Obsidian本地知识库", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 47.92, "end": 49.94, "text": "第二步把AI能力接进来", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 49.94, "end": 52.56, "text": "第三步用知识积累和项目推进", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 52.56, "end": 56.0, "text": "这两个真实场景把这套系统真正跑起来", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 56.0, "end": 57.78, "text": "看完之后我们至少知道", "chunk": 0, "language": "zh", "avg_logprob": -0.10829784846541905, "no_speech_prob": 1.6231333985206042e-11, "compression_ratio": 1.3189655172413792 }, { "start": 57.78, "end": 59.32, "text": "本地知识库怎么搭建", "chunk": 0, "language": "zh", "avg_logprob": -0.07217847641988016, "no_speech_prob": 1.524779434658452e-11, "compression_ratio": 1.39375 }, { "start": 59.32, "end": 60.62, "text": "AI能力怎么接入", "chunk": 0, "language": "zh", "avg_logprob": -0.07217847641988016, "no_speech_prob": 1.524779434658452e-11, "compression_ratio": 1.39375 }, { "start": 60.62, "end": 61.76, "text": "资料怎么积累", "chunk": 0, "language": "zh", "avg_logprob": -0.07217847641988016, "no_speech_prob": 1.524779434658452e-11, "compression_ratio": 1.39375 }, { "start": 61.76, "end": 63.0, "text": "项目怎么推进", "chunk": 0, "language": "zh", "avg_logprob": -0.07217847641988016, "no_speech_prob": 1.524779434658452e-11, "compression_ratio": 1.39375 }, { "start": 63.0, "end": 66.04, "text": "以及知识最后怎么沉淀和产生结果", "chunk": 0, "language": "zh", "avg_logprob": -0.07217847641988016, "no_speech_prob": 1.524779434658452e-11, "compression_ratio": 1.39375 }, { "start": 66.04, "end": 69.84, "text": "对于Obsidian搭建AI知识库", "chunk": 0, "language": "zh", "avg_logprob": -0.07217847641988016, "no_speech_prob": 1.524779434658452e-11, "compression_ratio": 1.39375 }, { "start": 69.84, "end": 71.88, "text": "我们首先要搭建一个本地知识库", "chunk": 0, "language": "zh", "avg_logprob": -0.07217847641988016, "no_speech_prob": 1.524779434658452e-11, "compression_ratio": 1.39375 }, { "start": 71.88, "end": 74.68, "text": "因为后面AI要读取分析和更新的", "chunk": 0, "language": "zh", "avg_logprob": -0.07217847641988016, "no_speech_prob": 1.524779434658452e-11, "compression_ratio": 1.39375 }, { "start": 74.68, "end": 76.3, "text": "本质上都是这个仓库里的", "chunk": 0, "language": "zh", "avg_logprob": -0.07217847641988016, "no_speech_prob": 1.524779434658452e-11, "compression_ratio": 1.39375 }, { "start": 76.3, "end": 77.86, "text": "Markdown文件和目录结构", "chunk": 0, "language": "zh", "avg_logprob": -0.07217847641988016, "no_speech_prob": 1.524779434658452e-11, "compression_ratio": 1.39375 }, { "start": 77.86, "end": 80.5, "text": "各种外部资料和个人想法进来之后", "chunk": 0, "language": "zh", "avg_logprob": -0.07217847641988016, "no_speech_prob": 1.524779434658452e-11, "compression_ratio": 1.39375 }, { "start": 80.5, "end": 82.44, "text": "会先变成一篇篇Markdown笔记", "chunk": 0, "language": "zh", "avg_logprob": -0.07217847641988016, "no_speech_prob": 1.524779434658452e-11, "compression_ratio": 1.39375 }, { "start": 82.44, "end": 84.78, "text": "保存在Obsidian的本地仓库里", "chunk": 0, "language": "zh", "avg_logprob": -0.07217847641988016, "no_speech_prob": 1.524779434658452e-11, "compression_ratio": 1.39375 }, { "start": 84.78, "end": 86.52, "text": "后面无论是推进项目", "chunk": 0, "language": "zh", "avg_logprob": -0.07217847641988016, "no_speech_prob": 1.524779434658452e-11, "compression_ratio": 1.39375 }, { "start": 86.52, "end": 87.26, "text": "沉淀知识", "chunk": 0, "language": "zh", "avg_logprob": -0.11108364484697113, "no_speech_prob": 2.1762671525982213e-11, "compression_ratio": 1.2900302114803626 }, { "start": 87.26, "end": 89.34, "text": "还是让AI基于有资料做分析", "chunk": 0, "language": "zh", "avg_logprob": -0.11108364484697113, "no_speech_prob": 2.1762671525982213e-11, "compression_ratio": 1.2900302114803626 }, { "start": 89.34, "end": 91.68, "text": "本质上都是围绕这个仓库在工作", "chunk": 0, "language": "zh", "avg_logprob": -0.11108364484697113, "no_speech_prob": 2.1762671525982213e-11, "compression_ratio": 1.2900302114803626 }, { "start": 91.68, "end": 94.16, "text": "这里我们直接用之前分享过的", "chunk": 0, "language": "zh", "avg_logprob": -0.11108364484697113, "no_speech_prob": 2.1762671525982213e-11, "compression_ratio": 1.2900302114803626 }, { "start": 94.16, "end": 96.14, "text": "Obsidian入门启动帮你的目录结构", "chunk": 0, "language": "zh", "avg_logprob": -0.11108364484697113, "no_speech_prob": 2.1762671525982213e-11, "compression_ratio": 1.2900302114803626 }, { "start": 96.14, "end": 97.6, "text": "我们先简单看一下", "chunk": 0, "language": "zh", "avg_logprob": -0.11108364484697113, "no_speech_prob": 2.1762671525982213e-11, "compression_ratio": 1.2900302114803626 }, { "start": 97.6, "end": 99.38, "text": "收件箱是临时入口", "chunk": 0, "language": "zh", "avg_logprob": -0.11108364484697113, "no_speech_prob": 2.1762671525982213e-11, "compression_ratio": 1.2900302114803626 }, { "start": 99.38, "end": 102.26, "text": "用来接触资料想法或临时记录", "chunk": 0, "language": "zh", "avg_logprob": -0.11108364484697113, "no_speech_prob": 2.1762671525982213e-11, "compression_ratio": 1.2900302114803626 }, { "start": 102.26, "end": 104.96, "text": "项目放正在推进的具体项目", "chunk": 0, "language": "zh", "avg_logprob": -0.11108364484697113, "no_speech_prob": 2.1762671525982213e-11, "compression_ratio": 1.2900302114803626 }, { "start": 104.96, "end": 107.44, "text": "领域放长期维护的领域和能力", "chunk": 0, "language": "zh", "avg_logprob": -0.11108364484697113, "no_speech_prob": 2.1762671525982213e-11, "compression_ratio": 1.2900302114803626 }, { "start": 107.44, "end": 109.4, "text": "资源放长期参考资料", "chunk": 0, "language": "zh", "avg_logprob": -0.11108364484697113, "no_speech_prob": 2.1762671525982213e-11, "compression_ratio": 1.2900302114803626 }, { "start": 109.4, "end": 112.46, "text": "归档放已经结束或者暂时不用的内容", "chunk": 0, "language": "zh", "avg_logprob": -0.11108364484697113, "no_speech_prob": 2.1762671525982213e-11, "compression_ratio": 1.2900302114803626 }, { "start": 112.46, "end": 114.1, "text": "模板放常用模板", "chunk": 0, "language": "zh", "avg_logprob": -0.11108364484697113, "no_speech_prob": 2.1762671525982213e-11, "compression_ratio": 1.2900302114803626 }, { "start": 114.1, "end": 117.06, "text": "附件放图片PDF和附件素材", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 117.06, "end": 119.76, "text": "这套结构参考了PAIA的思想", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 119.76, "end": 120.94, "text": "但并不复杂", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 120.94, "end": 122.86, "text": "就是一条信息进来之后", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 122.86, "end": 124.58, "text": "不是先问它属于什么主题", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 124.58, "end": 126.62, "text": "而是先问它接下来要服务什么", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 126.62, "end": 127.86, "text": "我在这个基础上", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 127.86, "end": 130.34, "text": "加了收件箱模板和附件这些目录", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 130.34, "end": 132.76, "text": "是为了更加适合正式使用场景", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 132.76, "end": 134.44, "text": "我们进一步理解一下", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 134.44, "end": 136.2, "text": "这套目录背后的核心逻辑", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 136.2, "end": 137.6, "text": "新的资料和想法", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 137.6, "end": 138.86, "text": "先进入收件箱", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 138.86, "end": 140.96, "text": "先接住降低输入门槛", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 140.96, "end": 141.94, "text": "整理之后", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 141.94, "end": 143.56, "text": "有长期参考价值的内容", "chunk": 0, "language": "zh", "avg_logprob": -0.06840638472483708, "no_speech_prob": 1.6760240764690515e-11, "compression_ratio": 1.3431952662721893 }, { "start": 143.56, "end": 144.32, "text": "进入资源", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 144.32, "end": 146.48, "text": "资源一方面可以被项目调用", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 146.48, "end": 147.84, "text": "用来服务具体目标", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 147.84, "end": 149.76, "text": "另一方面也可以提炼出", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 149.76, "end": 151.02, "text": "长期方法和判断", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 151.02, "end": 152.32, "text": "沉淀到领域", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 152.32, "end": 154.82, "text": "如果一开始就是明确的项目想法", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 154.82, "end": 156.08, "text": "也可以从收件箱", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 156.08, "end": 157.34, "text": "直接升级到项目", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 157.34, "end": 158.74, "text": "这是一条辅助路径", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 158.74, "end": 160.82, "text": "项目完成之后就进入归档", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 160.82, "end": 162.26, "text": "这样资料项目", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 162.26, "end": 163.5, "text": "长期知识和归档", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 163.5, "end": 164.62, "text": "都有自己的位置", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 164.62, "end": 165.8, "text": "后面AI只能基于", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 165.8, "end": 167.04, "text": "这个清晰的结构工作", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 167.04, "end": 170.74, "text": "火不这点进入AI的方式", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 170.74, "end": 171.4, "text": "其实很多", "chunk": 0, "language": "zh", "avg_logprob": -0.11258604638863609, "no_speech_prob": 2.1349842033169253e-11, "compression_ratio": 1.3598726114649682 }, { "start": 171.4, "end": 174.84, "text": "我之前已经专门用一个四项线图系统梳理过", "chunk": 0, "language": "zh", "avg_logprob": -0.09552194931927849, "no_speech_prob": 1.593036640101797e-11, "compression_ratio": 1.2054380664652569 }, { "start": 174.84, "end": 177.12, "text": "大家感兴趣可以回去看那期", "chunk": 0, "language": "zh", "avg_logprob": -0.09552194931927849, "no_speech_prob": 1.593036640101797e-11, "compression_ratio": 1.2054380664652569 }, { "start": 177.12, "end": 179.7, "text": "后来出现的Codex Hermes Agent", "chunk": 0, "language": "zh", "avg_logprob": -0.09552194931927849, "no_speech_prob": 1.593036640101797e-11, "compression_ratio": 1.2054380664652569 }, { "start": 179.7, "end": 182.12, "text": "或者OpenCloud这类Agent的工具", "chunk": 0, "language": "zh", "avg_logprob": -0.09552194931927849, "no_speech_prob": 1.593036640101797e-11, "compression_ratio": 1.2054380664652569 }, { "start": 182.12, "end": 184.56, "text": "直接操作Obsidian底层仓库", "chunk": 0, "language": "zh", "avg_logprob": -0.09552194931927849, "no_speech_prob": 1.593036640101797e-11, "compression_ratio": 1.2054380664652569 }, { "start": 184.56, "end": 186.5, "text": "大体也可以归到第二项线", "chunk": 0, "language": "zh", "avg_logprob": -0.09552194931927849, "no_speech_prob": 1.593036640101797e-11, "compression_ratio": 1.2054380664652569 }, { "start": 186.5, "end": 188.76, "text": "AI主动操作文件层", "chunk": 0, "language": "zh", "avg_logprob": -0.09552194931927849, "no_speech_prob": 1.593036640101797e-11, "compression_ratio": 1.2054380664652569 }, { "start": 188.76, "end": 191.62, "text": "但这次我们先聚焦一种最基础", "chunk": 0, "language": "zh", "avg_logprob": -0.09552194931927849, "no_speech_prob": 1.593036640101797e-11, "compression_ratio": 1.2054380664652569 }, { "start": 191.62, "end": 194.7, "text": "最贴近知识管理本身的接入方式", "chunk": 0, "language": "zh", "avg_logprob": -0.09552194931927849, "no_speech_prob": 1.593036640101797e-11, "compression_ratio": 1.2054380664652569 }, { "start": 194.7, "end": 196.66, "text": "用Cloudian加CLI Agent", "chunk": 0, "language": "zh", "avg_logprob": -0.09552194931927849, "no_speech_prob": 1.593036640101797e-11, "compression_ratio": 1.2054380664652569 }, { "start": 196.66, "end": 198.46, "text": "把AI能力接入Obsidian", "chunk": 0, "language": "zh", "avg_logprob": -0.09552194931927849, "no_speech_prob": 1.593036640101797e-11, "compression_ratio": 1.2054380664652569 }, { "start": 198.46, "end": 200.0, "text": "在真正操作之前", "chunk": 0, "language": "zh", "avg_logprob": -0.09552194931927849, "no_speech_prob": 1.593036640101797e-11, "compression_ratio": 1.2054380664652569 }, { "start": 200.0, "end": 201.56, "text": "我们先看整体架构", "chunk": 0, "language": "zh", "avg_logprob": -0.12925468172345841, "no_speech_prob": 2.7625042878232087e-11, "compression_ratio": 1.292604501607717 }, { "start": 201.56, "end": 203.7, "text": "这一点是知识库和工作界面", "chunk": 0, "language": "zh", "avg_logprob": -0.12925468172345841, "no_speech_prob": 2.7625042878232087e-11, "compression_ratio": 1.292604501607717 }, { "start": 203.7, "end": 205.14, "text": "Cloud点是连接器", "chunk": 0, "language": "zh", "avg_logprob": -0.12925468172345841, "no_speech_prob": 2.7625042878232087e-11, "compression_ratio": 1.292604501607717 }, { "start": 205.14, "end": 206.28, "text": "Cli Agent", "chunk": 0, "language": "zh", "avg_logprob": -0.12925468172345841, "no_speech_prob": 2.7625042878232087e-11, "compression_ratio": 1.292604501607717 }, { "start": 206.28, "end": 207.64, "text": "执行任务的AI", "chunk": 0, "language": "zh", "avg_logprob": -0.12925468172345841, "no_speech_prob": 2.7625042878232087e-11, "compression_ratio": 1.292604501607717 }, { "start": 207.64, "end": 210.02, "text": "Agent可以选择Cloud Code", "chunk": 0, "language": "zh", "avg_logprob": -0.12925468172345841, "no_speech_prob": 2.7625042878232087e-11, "compression_ratio": 1.292604501607717 }, { "start": 210.02, "end": 211.06, "text": "Codec CLI", "chunk": 0, "language": "zh", "avg_logprob": -0.12925468172345841, "no_speech_prob": 2.7625042878232087e-11, "compression_ratio": 1.292604501607717 }, { "start": 211.06, "end": 212.14, "text": "或者OpenCode", "chunk": 0, "language": "zh", "avg_logprob": -0.12925468172345841, "no_speech_prob": 2.7625042878232087e-11, "compression_ratio": 1.292604501607717 }, { "start": 212.14, "end": 214.26, "text": "模型可以来自官方订阅", "chunk": 0, "language": "zh", "avg_logprob": -0.12925468172345841, "no_speech_prob": 2.7625042878232087e-11, "compression_ratio": 1.292604501607717 }, { "start": 214.26, "end": 216.4, "text": "也可以通过三方模型转接", "chunk": 0, "language": "zh", "avg_logprob": -0.12925468172345841, "no_speech_prob": 2.7625042878232087e-11, "compression_ratio": 1.292604501607717 }, { "start": 216.4, "end": 219.74, "text": "下面这条就是等一下要跑的最小验证流程", "chunk": 0, "language": "zh", "avg_logprob": -0.12925468172345841, "no_speech_prob": 2.7625042878232087e-11, "compression_ratio": 1.292604501607717 }, { "start": 219.74, "end": 221.98, "text": "第一先选择一个Cli Agent", "chunk": 0, "language": "zh", "avg_logprob": -0.12925468172345841, "no_speech_prob": 2.7625042878232087e-11, "compression_ratio": 1.292604501607717 }, { "start": 221.98, "end": 225.46, "text": "第二完成登录或者通过三方模型做转接", "chunk": 0, "language": "zh", "avg_logprob": -0.12925468172345841, "no_speech_prob": 2.7625042878232087e-11, "compression_ratio": 1.292604501607717 }, { "start": 225.46, "end": 228.88, "text": "第三在终端里测试它能不能正常对话", "chunk": 0, "language": "zh", "avg_logprob": -0.12925468172345841, "no_speech_prob": 2.7625042878232087e-11, "compression_ratio": 1.292604501607717 }, { "start": 228.88, "end": 230.5, "text": "第四,回到Obsidian", "chunk": 0, "language": "zh", "avg_logprob": -0.13443659573066524, "no_speech_prob": 1.5200373945645218e-11, "compression_ratio": 1.292763157894737 }, { "start": 230.5, "end": 233.34, "text": "在Cloudian插件里启用这个Agent", "chunk": 0, "language": "zh", "avg_logprob": -0.13443659573066524, "no_speech_prob": 1.5200373945645218e-11, "compression_ratio": 1.292763157894737 }, { "start": 233.34, "end": 235.5, "text": "第五,让它读取当前笔记", "chunk": 0, "language": "zh", "avg_logprob": -0.13443659573066524, "no_speech_prob": 1.5200373945645218e-11, "compression_ratio": 1.292763157894737 }, { "start": 235.5, "end": 237.24, "text": "并做一次简单的总结", "chunk": 0, "language": "zh", "avg_logprob": -0.13443659573066524, "no_speech_prob": 1.5200373945645218e-11, "compression_ratio": 1.292763157894737 }, { "start": 237.24, "end": 240.84, "text": "接下来我们就按刚才的五步流程真实跑一遍", "chunk": 0, "language": "zh", "avg_logprob": -0.13443659573066524, "no_speech_prob": 1.5200373945645218e-11, "compression_ratio": 1.292763157894737 }, { "start": 240.84, "end": 243.56, "text": "第一步,先选择一个Cli Agent", "chunk": 0, "language": "zh", "avg_logprob": -0.13443659573066524, "no_speech_prob": 1.5200373945645218e-11, "compression_ratio": 1.292763157894737 }, { "start": 243.56, "end": 247.5, "text": "这里可以选择Cloud Code, Codecli或者OpenCode", "chunk": 0, "language": "zh", "avg_logprob": -0.13443659573066524, "no_speech_prob": 1.5200373945645218e-11, "compression_ratio": 1.292763157894737 }, { "start": 247.5, "end": 248.76, "text": "三选一就可以", "chunk": 0, "language": "zh", "avg_logprob": -0.13443659573066524, "no_speech_prob": 1.5200373945645218e-11, "compression_ratio": 1.292763157894737 }, { "start": 248.76, "end": 251.62, "text": "我这里选择Codecli做演示", "chunk": 0, "language": "zh", "avg_logprob": -0.13443659573066524, "no_speech_prob": 1.5200373945645218e-11, "compression_ratio": 1.292763157894737 }, { "start": 251.62, "end": 254.3, "text": "第二步,选择登录或者模型转接", "chunk": 0, "language": "zh", "avg_logprob": -0.13443659573066524, "no_speech_prob": 1.5200373945645218e-11, "compression_ratio": 1.292763157894737 }, { "start": 254.3, "end": 257.44, "text": "我这里已经提前完成了Codecli的登录", "chunk": 0, "language": "zh", "avg_logprob": -0.13443659573066524, "no_speech_prob": 1.5200373945645218e-11, "compression_ratio": 1.292763157894737 }, { "start": 257.44, "end": 258.98, "text": "所以不现场展示了", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 258.98, "end": 260.68, "text": "如果能用官方订阅", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 260.68, "end": 262.26, "text": "就直接使用官方订阅", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 262.26, "end": 263.38, "text": "如果不方便", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 263.38, "end": 264.94, "text": "可以使用CC-Switch", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 264.94, "end": 266.24, "text": "转接第三方模型", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 266.24, "end": 268.48, "text": "这个部分本身是一个独立的话题", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 268.48, "end": 269.94, "text": "网上的教程也很多", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 269.94, "end": 271.44, "text": "这里先不展示了", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 271.44, "end": 273.12, "text": "如果大家对此有疑问", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 273.12, "end": 274.58, "text": "可以在评论区留言", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 274.58, "end": 275.44, "text": "第三步", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 275.44, "end": 276.5, "text": "在通装里测试", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 276.5, "end": 278.2, "text": "这个Agent能不能正常对话", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 278.2, "end": 280.22, "text": "比如我这里输入Codex", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 280.22, "end": 281.6, "text": "进入对话之后", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 281.6, "end": 282.88, "text": "简单问一句你好", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 282.88, "end": 283.94, "text": "我们可以看到", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 283.94, "end": 285.48, "text": "Codex能正常回复", "chunk": 0, "language": "zh", "avg_logprob": -0.09966731601291233, "no_speech_prob": 1.656350751000346e-11, "compression_ratio": 1.3333333333333333 }, { "start": 285.48, "end": 287.54, "text": "说明本地Agent已经准备好了", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 287.54, "end": 288.22, "text": "第四步", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 288.22, "end": 290.18, "text": "在Cloudian里启动这个Agent", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 290.18, "end": 291.64, "text": "我们回到Obsidian", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 291.64, "end": 292.7, "text": "打开设置", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 292.7, "end": 293.92, "text": "进入社区插件", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 293.92, "end": 295.36, "text": "找到并打开", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 295.36, "end": 297.42, "text": "已经安装并且启用的Cloudian", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 297.42, "end": 299.92, "text": "然后切换到上面的Codex标签", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 299.92, "end": 302.66, "text": "点击启用Codex服务商", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 302.66, "end": 304.16, "text": "一般来说到这里", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 304.16, "end": 306.8, "text": "Cloudian就可以正常调用Codex了", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 306.8, "end": 307.58, "text": "第五步", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 307.58, "end": 309.0, "text": "让它读取当前笔记", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 309.0, "end": 310.44, "text": "做一个简单的总结", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 310.44, "end": 312.52, "text": "我们点击左侧边来的Cloudian", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 312.52, "end": 315.36, "text": "右侧会自动打开一个新的对话面板", "chunk": 0, "language": "zh", "avg_logprob": -0.09544820586840312, "no_speech_prob": 1.519481068745776e-11, "compression_ratio": 1.3343653250773995 }, { "start": 315.36, "end": 319.12, "text": "然后把模型切换到当前可用模型", "chunk": 0, "language": "zh", "avg_logprob": -0.07684523950923573, "no_speech_prob": 1.2707558963431786e-11, "compression_ratio": 1.3680781758957654 }, { "start": 319.12, "end": 320.28, "text": "DBT5.5", "chunk": 0, "language": "zh", "avg_logprob": -0.07684523950923573, "no_speech_prob": 1.2707558963431786e-11, "compression_ratio": 1.3680781758957654 }, { "start": 320.28, "end": 322.94, "text": "接着从左侧目录里打开一个笔记", "chunk": 0, "language": "zh", "avg_logprob": -0.07684523950923573, "no_speech_prob": 1.2707558963431786e-11, "compression_ratio": 1.3680781758957654 }, { "start": 322.94, "end": 326.38, "text": "这篇笔记就会作为当前上下文记录对话", "chunk": 0, "language": "zh", "avg_logprob": -0.07684523950923573, "no_speech_prob": 1.2707558963431786e-11, "compression_ratio": 1.3680781758957654 }, { "start": 326.38, "end": 327.54, "text": "然后我们输入", "chunk": 0, "language": "zh", "avg_logprob": -0.07684523950923573, "no_speech_prob": 1.2707558963431786e-11, "compression_ratio": 1.3680781758957654 }, { "start": 327.54, "end": 329.42, "text": "帮我总结一下这个笔记的内容", "chunk": 0, "language": "zh", "avg_logprob": -0.07684523950923573, "no_speech_prob": 1.2707558963431786e-11, "compression_ratio": 1.3680781758957654 }, { "start": 329.42, "end": 332.26, "text": "如果AI能基于这个笔记做出总结", "chunk": 0, "language": "zh", "avg_logprob": -0.07684523950923573, "no_speech_prob": 1.2707558963431786e-11, "compression_ratio": 1.3680781758957654 }, { "start": 332.26, "end": 333.68, "text": "就说明这一步跑通了", "chunk": 0, "language": "zh", "avg_logprob": -0.07684523950923573, "no_speech_prob": 1.2707558963431786e-11, "compression_ratio": 1.3680781758957654 }, { "start": 333.68, "end": 338.28, "text": "前面我们已经把本级知识库搭建好了", "chunk": 0, "language": "zh", "avg_logprob": -0.07684523950923573, "no_speech_prob": 1.2707558963431786e-11, "compression_ratio": 1.3680781758957654 }, { "start": 338.28, "end": 339.48, "text": "也把AI接进来了", "chunk": 0, "language": "zh", "avg_logprob": -0.07684523950923573, "no_speech_prob": 1.2707558963431786e-11, "compression_ratio": 1.3680781758957654 }, { "start": 339.48, "end": 342.76, "text": "这其实意味着一个静态的AI知识库已经完成了", "chunk": 0, "language": "zh", "avg_logprob": -0.07684523950923573, "no_speech_prob": 1.2707558963431786e-11, "compression_ratio": 1.3680781758957654 }, { "start": 342.76, "end": 344.4, "text": "但知识库真正有价值", "chunk": 0, "language": "zh", "avg_logprob": -0.07684523950923573, "no_speech_prob": 1.2707558963431786e-11, "compression_ratio": 1.3680781758957654 }, { "start": 344.4, "end": 345.92, "text": "是让它真正跑起来", "chunk": 0, "language": "zh", "avg_logprob": -0.1002363751282045, "no_speech_prob": 1.8535943613340322e-11, "compression_ratio": 1.3093922651933703 }, { "start": 345.92, "end": 347.36, "text": "也就是资料可以进来", "chunk": 0, "language": "zh", "avg_logprob": -0.1002363751282045, "no_speech_prob": 1.8535943613340322e-11, "compression_ratio": 1.3093922651933703 }, { "start": 347.36, "end": 348.52, "text": "AI可以参与处理", "chunk": 0, "language": "zh", "avg_logprob": -0.1002363751282045, "no_speech_prob": 1.8535943613340322e-11, "compression_ratio": 1.3093922651933703 }, { "start": 348.52, "end": 350.8, "text": "最后这些内容能够成练成知识", "chunk": 0, "language": "zh", "avg_logprob": -0.1002363751282045, "no_speech_prob": 1.8535943613340322e-11, "compression_ratio": 1.3093922651933703 }, { "start": 350.8, "end": 352.88, "text": "或者服务一个具体的项目", "chunk": 0, "language": "zh", "avg_logprob": -0.1002363751282045, "no_speech_prob": 1.8535943613340322e-11, "compression_ratio": 1.3093922651933703 }, { "start": 352.88, "end": 353.76, "text": "所以接下来", "chunk": 0, "language": "zh", "avg_logprob": -0.1002363751282045, "no_speech_prob": 1.8535943613340322e-11, "compression_ratio": 1.3093922651933703 }, { "start": 353.76, "end": 355.8, "text": "我会用两个真实的场景来演示", "chunk": 0, "language": "zh", "avg_logprob": -0.1002363751282045, "no_speech_prob": 1.8535943613340322e-11, "compression_ratio": 1.3093922651933703 }, { "start": 355.8, "end": 357.98, "text": "积累型场景和项目型场景", "chunk": 0, "language": "zh", "avg_logprob": -0.1002363751282045, "no_speech_prob": 1.8535943613340322e-11, "compression_ratio": 1.3093922651933703 }, { "start": 357.98, "end": 360.0, "text": "先看第一个场景积累型", "chunk": 0, "language": "zh", "avg_logprob": -0.1002363751282045, "no_speech_prob": 1.8535943613340322e-11, "compression_ratio": 1.3093922651933703 }, { "start": 360.0, "end": 362.82, "text": "比如我看到一篇Obsidian CEO的采访", "chunk": 0, "language": "zh", "avg_logprob": -0.1002363751282045, "no_speech_prob": 1.8535943613340322e-11, "compression_ratio": 1.3093922651933703 }, { "start": 362.82, "end": 364.98, "text": "觉得这篇资料很有参考价值", "chunk": 0, "language": "zh", "avg_logprob": -0.1002363751282045, "no_speech_prob": 1.8535943613340322e-11, "compression_ratio": 1.3093922651933703 }, { "start": 364.98, "end": 367.12, "text": "就想把它保存到本地知识库里", "chunk": 0, "language": "zh", "avg_logprob": -0.1002363751282045, "no_speech_prob": 1.8535943613340322e-11, "compression_ratio": 1.3093922651933703 }, { "start": 367.12, "end": 370.28, "text": "这里我用的是Obsidian官方的Web Clipper插件", "chunk": 0, "language": "zh", "avg_logprob": -0.1002363751282045, "no_speech_prob": 1.8535943613340322e-11, "compression_ratio": 1.3093922651933703 }, { "start": 370.28, "end": 373.06, "text": "它可以把大部分网页内容一键检查", "chunk": 0, "language": "zh", "avg_logprob": -0.1002363751282045, "no_speech_prob": 1.8535943613340322e-11, "compression_ratio": 1.3093922651933703 }, { "start": 373.06, "end": 374.98, "text": "并转成Markdown保存到Obsidian", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 374.98, "end": 376.18, "text": "回到这篇文章", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 376.18, "end": 378.6, "text": "我们点击浏览器里的Obsidian插件", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 378.6, "end": 379.78, "text": "这里可以预览", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 379.78, "end": 380.68, "text": "检查了内容", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 380.68, "end": 383.48, "text": "也可以设置它保存到Obsidian的哪个路径", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 383.48, "end": 385.18, "text": "我点击添加了Obsidian", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 385.18, "end": 387.36, "text": "这篇文章就会保存到这个位置", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 387.36, "end": 388.52, "text": "Inbox收件箱", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 388.52, "end": 389.4, "text": "Clippings", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 389.4, "end": 390.36, "text": "回到Obsidian", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 390.36, "end": 391.2, "text": "可以看到", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 391.2, "end": 394.34, "text": "这篇网页已经变成了一篇本地Markdown笔记", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 394.34, "end": 395.12, "text": "到这里", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 395.12, "end": 397.76, "text": "外部资料进入Obsidian这一步就完成了", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 397.76, "end": 400.5, "text": "接下来我们对它做一轮简单的处理", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 400.5, "end": 401.88, "text": "我先用快捷命令", "chunk": 0, "language": "zh", "avg_logprob": -0.09831281598104814, "no_speech_prob": 1.642260286094377e-11, "compression_ratio": 1.4220183486238531 }, { "start": 401.88, "end": 404.22, "text": "把这篇笔记从收件箱转移到资源", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 404.22, "end": 407.14, "text": "因为这篇文章可以作为一份原始资料", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 407.14, "end": 408.5, "text": "后面可以长期参考", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 408.5, "end": 410.96, "text": "然后我在正文上方加一个标题", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 410.96, "end": 413.36, "text": "原文把原始内容保留下来", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 413.36, "end": 415.2, "text": "再在它上面加一个标题", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 415.2, "end": 416.12, "text": "内容总结", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 416.12, "end": 418.36, "text": "准备让AI把总结写到这里", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 418.36, "end": 420.8, "text": "接着在这篇笔记打开的情况下", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 420.8, "end": 421.74, "text": "我打开Cloudium", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 421.74, "end": 423.6, "text": "选中内容总结这个位置", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 423.6, "end": 424.28, "text": "告诉AI", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 424.28, "end": 426.1, "text": "给我总结这篇文章内容", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 426.1, "end": 427.32, "text": "并更新到这里", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 427.32, "end": 428.88, "text": "AI分析完成之后", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 428.88, "end": 431.36, "text": "就会把总结直接写到这篇笔记里", "chunk": 0, "language": "zh", "avg_logprob": -0.0638588269551595, "no_speech_prob": 1.9808382364927546e-11, "compression_ratio": 1.4683544303797469 }, { "start": 431.36, "end": 433.16, "text": "我快速看了一下总结内容", "chunk": 0, "language": "zh", "avg_logprob": -0.07351475291781956, "no_speech_prob": 1.7844363139896124e-11, "compression_ratio": 1.2915531335149864 }, { "start": 433.16, "end": 435.12, "text": "发现里面有些观点还有价值", "chunk": 0, "language": "zh", "avg_logprob": -0.07351475291781956, "no_speech_prob": 1.7844363139896124e-11, "compression_ratio": 1.2915531335149864 }, { "start": 435.12, "end": 436.52, "text": "值得以后反复使用", "chunk": 0, "language": "zh", "avg_logprob": -0.07351475291781956, "no_speech_prob": 1.7844363139896124e-11, "compression_ratio": 1.2915531335149864 }, { "start": 436.52, "end": 439.02, "text": "我在领域里新建了一篇长篇笔记", "chunk": 0, "language": "zh", "avg_logprob": -0.07351475291781956, "no_speech_prob": 1.7844363139896124e-11, "compression_ratio": 1.2915531335149864 }, { "start": 439.02, "end": 440.46, "text": "叫Obsidian学习", "chunk": 0, "language": "zh", "avg_logprob": -0.07351475291781956, "no_speech_prob": 1.7844363139896124e-11, "compression_ratio": 1.2915531335149864 }, { "start": 440.46, "end": 443.34, "text": "然后把这些关键观点整理进去", "chunk": 0, "language": "zh", "avg_logprob": -0.07351475291781956, "no_speech_prob": 1.7844363139896124e-11, "compression_ratio": 1.2915531335149864 }, { "start": 443.34, "end": 445.66, "text": "例如对Obsidian使用者的启发", "chunk": 0, "language": "zh", "avg_logprob": -0.07351475291781956, "no_speech_prob": 1.7844363139896124e-11, "compression_ratio": 1.2915531335149864 }, { "start": 445.66, "end": 447.98, "text": "并且加上原始资料的双链链贴", "chunk": 0, "language": "zh", "avg_logprob": -0.07351475291781956, "no_speech_prob": 1.7844363139896124e-11, "compression_ratio": 1.2915531335149864 }, { "start": 447.98, "end": 450.52, "text": "这样一个资料积累的闭环就完成了", "chunk": 0, "language": "zh", "avg_logprob": -0.07351475291781956, "no_speech_prob": 1.7844363139896124e-11, "compression_ratio": 1.2915531335149864 }, { "start": 450.52, "end": 451.98, "text": "网页资料进入本地", "chunk": 0, "language": "zh", "avg_logprob": -0.07351475291781956, "no_speech_prob": 1.7844363139896124e-11, "compression_ratio": 1.2915531335149864 }, { "start": 451.98, "end": 452.94, "text": "AI参与处理", "chunk": 0, "language": "zh", "avg_logprob": -0.07351475291781956, "no_speech_prob": 1.7844363139896124e-11, "compression_ratio": 1.2915531335149864 }, { "start": 452.94, "end": 455.26, "text": "仍然来判断哪些内容值得长期保存", "chunk": 0, "language": "zh", "avg_logprob": -0.07351475291781956, "no_speech_prob": 1.7844363139896124e-11, "compression_ratio": 1.2915531335149864 }, { "start": 455.26, "end": 458.44, "text": "最后长期知识和原始来源还能互相追溯", "chunk": 0, "language": "zh", "avg_logprob": -0.07351475291781956, "no_speech_prob": 1.7844363139896124e-11, "compression_ratio": 1.2915531335149864 }, { "start": 458.44, "end": 460.48, "text": "再看第二个场景项目型", "chunk": 0, "language": "zh", "avg_logprob": -0.07351475291781956, "no_speech_prob": 1.7844363139896124e-11, "compression_ratio": 1.2915531335149864 }, { "start": 460.48, "end": 462.16, "text": "比如我想到一个问题", "chunk": 0, "language": "zh", "avg_logprob": -0.09742695416590964, "no_speech_prob": 2.0149154913995382e-11, "compression_ratio": 1.236842105263158 }, { "start": 462.16, "end": 464.58, "text": "和这点为什么适合AI时代的知识管理", "chunk": 0, "language": "zh", "avg_logprob": -0.09742695416590964, "no_speech_prob": 2.0149154913995382e-11, "compression_ratio": 1.236842105263158 }, { "start": 464.58, "end": 467.28, "text": "我会先把这个想法寄到每日笔记里", "chunk": 0, "language": "zh", "avg_logprob": -0.09742695416590964, "no_speech_prob": 2.0149154913995382e-11, "compression_ratio": 1.236842105263158 }, { "start": 467.28, "end": 468.32, "text": "日常使用时", "chunk": 0, "language": "zh", "avg_logprob": -0.09742695416590964, "no_speech_prob": 2.0149154913995382e-11, "compression_ratio": 1.236842105263158 }, { "start": 468.32, "end": 470.56, "text": "我一般会使用手机加语音输入法", "chunk": 0, "language": "zh", "avg_logprob": -0.09742695416590964, "no_speech_prob": 2.0149154913995382e-11, "compression_ratio": 1.236842105263158 }, { "start": 470.56, "end": 471.32, "text": "快速记录", "chunk": 0, "language": "zh", "avg_logprob": -0.09742695416590964, "no_speech_prob": 2.0149154913995382e-11, "compression_ratio": 1.236842105263158 }, { "start": 471.32, "end": 473.82, "text": "这里为了演示就直接在电脑上操作", "chunk": 0, "language": "zh", "avg_logprob": -0.09742695416590964, "no_speech_prob": 2.0149154913995382e-11, "compression_ratio": 1.236842105263158 }, { "start": 473.82, "end": 476.56, "text": "后面我觉得这个问题值得继续推进", "chunk": 0, "language": "zh", "avg_logprob": -0.09742695416590964, "no_speech_prob": 2.0149154913995382e-11, "compression_ratio": 1.236842105263158 }, { "start": 476.56, "end": 478.46, "text": "可能发展成文章或者视频", "chunk": 0, "language": "zh", "avg_logprob": -0.09742695416590964, "no_speech_prob": 2.0149154913995382e-11, "compression_ratio": 1.236842105263158 }, { "start": 478.46, "end": 479.9, "text": "就会在项目里", "chunk": 0, "language": "zh", "avg_logprob": -0.09742695416590964, "no_speech_prob": 2.0149154913995382e-11, "compression_ratio": 1.236842105263158 }, { "start": 481.2, "end": 482.26, "text": "这个笔记叫", "chunk": 1, "language": "zh", "avg_logprob": -0.0994970723202354, "no_speech_prob": 3.493045089286717e-11, "compression_ratio": 1.3284883720930232 }, { "start": 482.26, "end": 484.86, "text": "我不知道为什么适合AI时代的知识管理", "chunk": 1, "language": "zh", "avg_logprob": -0.0994970723202354, "no_speech_prob": 3.493045089286717e-11, "compression_ratio": 1.3284883720930232 }, { "start": 484.86, "end": 485.86, "text": "-index", "chunk": 1, "language": "zh", "avg_logprob": -0.0994970723202354, "no_speech_prob": 3.493045089286717e-11, "compression_ratio": 1.3284883720930232 }, { "start": 485.86, "end": 488.22, "text": "然后我先建四个一级标题", "chunk": 1, "language": "zh", "avg_logprob": -0.0994970723202354, "no_speech_prob": 3.493045089286717e-11, "compression_ratio": 1.3284883720930232 }, { "start": 488.22, "end": 490.98, "text": "背景分析输出常见问题", "chunk": 1, "language": "zh", "avg_logprob": -0.0994970723202354, "no_speech_prob": 3.493045089286717e-11, "compression_ratio": 1.3284883720930232 }, { "start": 490.98, "end": 492.26, "text": "背景放资料", "chunk": 1, "language": "zh", "avg_logprob": -0.0994970723202354, "no_speech_prob": 3.493045089286717e-11, "compression_ratio": 1.3284883720930232 }, { "start": 492.26, "end": 493.44, "text": "分析放思考", "chunk": 1, "language": "zh", "avg_logprob": -0.0994970723202354, "no_speech_prob": 3.493045089286717e-11, "compression_ratio": 1.3284883720930232 }, { "start": 493.44, "end": 494.5, "text": "输出放成果", "chunk": 1, "language": "zh", "avg_logprob": -0.0994970723202354, "no_speech_prob": 3.493045089286717e-11, "compression_ratio": 1.3284883720930232 }, { "start": 494.5, "end": 497.66, "text": "常见问题放过程中沉淀下来的Q&A", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 497.66, "end": 499.4, "text": "接下来无不千问AI", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 499.4, "end": 500.52, "text": "如果我要研究", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 500.52, "end": 503.48, "text": "为什么Obsidian适合AI时代的知识管理", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 503.48, "end": 505.4, "text": "需要从哪些角度查找资料", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 505.4, "end": 507.08, "text": "AI给出研究方向之后", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 507.08, "end": 508.96, "text": "我觉得这个问题本身也有价值", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 508.96, "end": 510.94, "text": "就选择常众问题这个区域", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 510.94, "end": 511.86, "text": "告诉AI", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 511.86, "end": 514.72, "text": "在当前目录新建一篇Q&A笔记", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 514.72, "end": 516.48, "text": "记录上面这个问题回答", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 516.48, "end": 517.78, "text": "并在这里添加双链", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 517.78, "end": 520.22, "text": "AI成功完成了Q&A笔记创建", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 520.22, "end": 522.26, "text": "并在目标位置添加好了双链", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 522.26, "end": 524.36, "text": "然后我会根据这些方向", "chunk": 1, "language": "zh", "avg_logprob": -0.1100079766635237, "no_speech_prob": 1.7756992057305077e-11, "compression_ratio": 1.3065902578796562 }, { "start": 524.36, "end": 525.18, "text": "去收集资料", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 525.18, "end": 527.96, "text": "这个过程和前面积累型流程类似", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 527.96, "end": 529.6, "text": "调查器操作更加复杂", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 529.6, "end": 530.68, "text": "而且需要自动化", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 530.68, "end": 532.04, "text": "以后再单独分享", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 532.04, "end": 533.22, "text": "这里就不展开了", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 533.22, "end": 534.86, "text": "我们直接看初步成果", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 534.86, "end": 536.76, "text": "相关资料已经进入了收件箱", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 536.76, "end": 537.66, "text": "下一步", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 537.66, "end": 539.02, "text": "我选中背景这个区域", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 539.02, "end": 539.66, "text": "告诉AI", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 539.66, "end": 540.86, "text": "把收件箱", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 540.86, "end": 542.42, "text": "Clipping's里的相关资料", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 542.42, "end": 543.76, "text": "迁移到资源", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 543.76, "end": 545.38, "text": "并把相关资料的双链", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 545.38, "end": 546.44, "text": "放到背景下面", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 546.44, "end": 547.74, "text": "AI执行完成之后", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 547.74, "end": 549.06, "text": "这些参考资料的链接", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 549.06, "end": 550.76, "text": "就会整理到背景区域下面", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 550.76, "end": 552.64, "text": "前面我们在积累型场景", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 552.64, "end": 553.52, "text": "里保存的那篇", "chunk": 1, "language": "zh", "avg_logprob": -0.1246296664524506, "no_speech_prob": 4.484348309352626e-11, "compression_ratio": 1.3850574712643677 }, { "start": 553.52, "end": 554.9, "text": "Obsidian CEO的采访", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 554.9, "end": 556.42, "text": "也可以顺手加进来", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 556.42, "end": 557.66, "text": "这里补充一句", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 557.66, "end": 559.48, "text": "克劳利亚日常调用AI的时候", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 559.48, "end": 561.98, "text": "经常会用到文件或者目录路径", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 561.98, "end": 564.06, "text": "我们可以点击笔记或者目录", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 564.06, "end": 566.16, "text": "或者相对路径或者绝对路径", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 566.16, "end": 568.7, "text": "在Obsidian中一般使用相对路径即可", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 568.7, "end": 571.7, "text": "下面我们进一步基于资料总结关键要点", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 571.7, "end": 572.68, "text": "我告诉AI", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 572.68, "end": 574.24, "text": "基于背景中的参考资料", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 574.24, "end": 575.64, "text": "给我总结关键要点", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 575.64, "end": 577.38, "text": "记录在分析标题下面", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 577.38, "end": 578.94, "text": "要剪辑要精力要罗列", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 578.94, "end": 579.84, "text": "不要太长", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 579.84, "end": 581.12, "text": "基于分析的要点", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 581.12, "end": 582.72, "text": "我们可以让AI进一步生成", "chunk": 1, "language": "zh", "avg_logprob": -0.1070023672921317, "no_speech_prob": 2.4778042465034567e-11, "compression_ratio": 1.4654654654654655 }, { "start": 582.72, "end": 583.86, "text": "可以交付的成果", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 583.86, "end": 584.88, "text": "我告诉AI", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 584.88, "end": 586.4, "text": "基于分析的要点", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 586.4, "end": 588.04, "text": "创建一篇简短文章", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 588.04, "end": 590.36, "text": "并把文章双链放到输出下面", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 590.36, "end": 592.12, "text": "最后我想更进一步", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 592.12, "end": 594.08, "text": "把文章内容做可视化表达", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 594.08, "end": 595.2, "text": "我告诉AI", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 595.2, "end": 596.24, "text": "利用这个skill", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 596.24, "end": 597.76, "text": "基于文章的核心结构", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 597.76, "end": 598.88, "text": "生成一个关系图", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 598.88, "end": 600.16, "text": "并把这张图的双链", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 600.16, "end": 601.32, "text": "也放到输出下面", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 601.32, "end": 603.56, "text": "到这里一个项目型流程就跑通了", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 603.56, "end": 604.68, "text": "一个临时问题", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 604.68, "end": 606.22, "text": "从每日笔记进入项目", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 606.22, "end": 607.9, "text": "相关资料进入资源", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 607.9, "end": 610.52, "text": "AI帮我拆解分析和生成输出", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 610.52, "end": 612.54, "text": "最后文章和可视化结果", "chunk": 1, "language": "zh", "avg_logprob": -0.08633913560347124, "no_speech_prob": 2.8059884277231717e-11, "compression_ratio": 1.441358024691358 }, { "start": 612.54, "end": 614.92, "text": "都回到项目index文件里统一管理", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 614.92, "end": 616.32, "text": "后面有新的想法", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 616.32, "end": 618.5, "text": "也可以继续更新分析迭代文章", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 618.5, "end": 621.04, "text": "或者把更长期的判断沉淀到领域", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 621.04, "end": 622.5, "text": "通过这两个场景", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 622.5, "end": 625.04, "text": "我们就能看到这个AI知识库已经跑起来了", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 625.04, "end": 626.24, "text": "积累型解决的是", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 626.24, "end": 629.46, "text": "资料怎么从临时收集变成长期可复用的知识", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 629.46, "end": 630.82, "text": "项目型解决的是", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 630.82, "end": 632.62, "text": "知识怎么服务一个具体目标", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 632.62, "end": 634.26, "text": "并推动它形成成果", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 634.26, "end": 636.34, "text": "而这背后其实也体现了", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 636.34, "end": 637.9, "text": "Obsign这条结构的价值", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 637.9, "end": 638.66, "text": "很想看", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 638.66, "end": 640.9, "text": "资料领域项目各有位置", "chunk": 1, "language": "zh", "avg_logprob": -0.10363447722665506, "no_speech_prob": 1.812006621138007e-11, "compression_ratio": 1.3038674033149171 }, { "start": 640.9, "end": 647.04, "text": "总想看原始资料分析内容长期知识和项目成果又可以通过双链串起来", "chunk": 1, "language": "zh", "avg_logprob": -0.12223606008701224, "no_speech_prob": 2.436920457093983e-11, "compression_ratio": 1.354632587859425 }, { "start": 647.04, "end": 650.52, "text": "到这里我们完成了三件事", "chunk": 1, "language": "zh", "avg_logprob": -0.12223606008701224, "no_speech_prob": 2.436920457093983e-11, "compression_ratio": 1.354632587859425 }, { "start": 650.52, "end": 652.1, "text": "打好而不自定本地仓库", "chunk": 1, "language": "zh", "avg_logprob": -0.12223606008701224, "no_speech_prob": 2.436920457093983e-11, "compression_ratio": 1.354632587859425 }, { "start": 652.1, "end": 653.12, "text": "介入AI能力", "chunk": 1, "language": "zh", "avg_logprob": -0.12223606008701224, "no_speech_prob": 2.436920457093983e-11, "compression_ratio": 1.354632587859425 }, { "start": 653.12, "end": 655.84, "text": "然后用两个正式场景把这套系统跑起来", "chunk": 1, "language": "zh", "avg_logprob": -0.12223606008701224, "no_speech_prob": 2.436920457093983e-11, "compression_ratio": 1.354632587859425 }, { "start": 655.84, "end": 658.32, "text": "这两个场景背后其实是同一套流程", "chunk": 1, "language": "zh", "avg_logprob": -0.12223606008701224, "no_speech_prob": 2.436920457093983e-11, "compression_ratio": 1.354632587859425 }, { "start": 658.32, "end": 659.08, "text": "知识输入", "chunk": 1, "language": "zh", "avg_logprob": -0.12223606008701224, "no_speech_prob": 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1.258160237388724 }, { "start": 696.52, "end": 698.98, "text": "图文PPT视频播客等各种成果", "chunk": 1, "language": "zh", "avg_logprob": -0.11329261702720565, "no_speech_prob": 1.376849936146618e-11, "compression_ratio": 1.0330188679245282 }, { "start": 698.98, "end": 700.74, "text": "后面我会继续更新", "chunk": 1, "language": "zh", "avg_logprob": -0.11329261702720565, "no_speech_prob": 1.376849936146618e-11, "compression_ratio": 1.0330188679245282 }, { "start": 700.74, "end": 702.8, "text": "Obsetting AI知识库的升级内容", "chunk": 1, "language": "zh", "avg_logprob": -0.11329261702720565, "no_speech_prob": 1.376849936146618e-11, "compression_ratio": 1.0330188679245282 }, { "start": 702.8, "end": 704.44, "text": "感兴趣的话可以持续关注", "chunk": 1, "language": "zh", "avg_logprob": -0.11329261702720565, "no_speech_prob": 1.376849936146618e-11, "compression_ratio": 1.0330188679245282 }, { "start": 704.44, "end": 706.32, "text": "如果本期内容对你有所帮助", "chunk": 1, "language": "zh", "avg_logprob": -0.11329261702720565, 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