B Bitcoin BTC

$68,757.11 -6.51%

24H 7D 30D YTD 1Y

· 6mo

ME News 消息，4 月 19 日（UTC+8），Kelp DAO旗下rsETH跨链桥疑似遭攻击，攻击者通过LayerZero相关合约调用，从桥中转出约116,500枚rsETH，按当前价格约合2.92亿美元。协议在约46分钟后暂停核心合约，并阻止后续攻击尝试，同时正与LayerZero及Unichain等开展调查。受事件影响，Aave已冻结rsETH市场，并评估潜在坏账风险。（来源：MLion）#加密货币 #pickful #比特币 #btc #eth #web3 #区块链

愿-有缘

· 6mo

为何议定书23对机构投资者具有特别意义？智能合约和卢旺达代币化是机构资本评估区块链是否具备基础设施属性的核心指标1000π。的 4,700 万用户基础若能结合与以太坊同类别的可编程基础设施,可能改变其在机构代币化市场中的定位。四月 22 日的v22.1节点升级为何重要？v22.1是议定书23上线前的强制性中间节点升级,按时完成代表协议路线图如期推进。历史上,节点升级的成功往往先于蛋白酶体抑制剂的市场重新定价,使四月 22 日成为5月18日主网上线前的重要技术观察节点。

#btc #eth

长白山金字塔

· 6mo

妖币龙头RAVE卷土重来，币价新高或助推行情延续。 4 月 18 日，据行情信息，妖币龙头 RAVE 昨夜今晨再度拉盘，截止发稿，其主流平台现货价格 24.95 美元，合约价格报 24.87 美元，Binance 上资金费率为 -0.05744%/小时，较封顶费率（-2%/小时）仍有较大差距。不过，值得注意的是，该币种的成交额在本次冲高过程中并未放大，Binance 合约 24 小时成交额为 14.45 亿美元，全网现货成交额为 2.92 亿美元。此外，据 HTX 行情，「币安人生」突破 0.4 美元，也创下本轮反弹新高。另有 HIGH、RARE 等币今晨出现短时拉高迹象。 BlockBeats 提醒用户，相关代币价格波动大，用户投资需谨慎。

#加密货币 #pickful #比特币 #btc #eth #web3 #区块链

长白山金字塔

· 6mo

RaveDAO回应操纵币价质疑：否认主导价格走势，未来将择机抛售代币。

4 月 19 日，RaveDAO 针对近期围绕 RAVE 价格波动的市场质疑作出回应，否认团队参与或主导代币价格走势，称相关传言不实，并强调将持续推进项目建设。RaveDAO 表示，团队当前以长期发展为导向，计划通过机制设计强化与社区的激励一致性，包括探索基于价格或绩效触发的代币锁仓模型。

不过，团队同时披露，未来将根据 TRS（Token Release Schedule）在适当时机出售部分已解锁代币，用于运营开支、全球招聘、市场推广及战略并购等。这一表态意味着项目方存在持续性抛压预期。

此外，RaveDAO 称将继续将部分收益用于公益，目前已承诺捐赠 20% 的活动利润及未来部分运营利润，用于慈善用途。项目方强调，其核心目标是构建链上娱乐与音乐生态，推动 Web3 用户增长，而非短期价格表现。#加密货币 #pickful #比特币 #btc #eth #web3 #区块链

长白山金字塔

· 6mo

15倍涨到新高的币安人生，人造牛市的三次救命。 CZ 新书上市，书名「币安人生」，同名的代币开启暴力上涨趋势，触及本轮价格高点，从 3 月底低点到现在涨了 15 倍。这是在加密货币交易量惨淡，财富效应急剧萎缩，比特币高点腰斩，简单来说币圈处于科技资产行业最底层的 15 倍涨幅。15 倍带来了远比「币安人生」这一个币更大的财富效应，在 Binance 上，山寨出现了久违的 24 小时翻倍的拉盘，开始出现熟悉的资金轮动，比如铭文、中文 meme，或者波卡系。一个「币安人生」的拉盘，稍微让跌到谷底的币圈有了些活力。这件事再次发生在了Binance。因为这种熊市里的人造牛，过去在最需要的时候出现过两次。

Screenshot_20260419_031249_com_theblockbeats_blockbeats_ArticleDetailActivity_edit_1563801877605851.jpg 33 KB

#加密货币 #pickful #比特币 #btc #eth #web3 #区块链

Linda

· 6mo

BTC短时跌破76000 USDT，24H涨幅收窄至 0.79%#btc

Crypto

· 6mo

这是我见过最好的Claude Code+Obsidian的教学视频。

花一个小时看完，你将学会用 Obsidian 打造第二大脑——让 AI 记住你所有的想法，帮你挖掘规律、生成创意、落地执行。

Subtitle processing failed

中文 English

0:00 这是黑曜石，而黑曜石就是人们用来作为

0:05 他们的第二大脑的小工具

0:06 但真正酷的是他们将它和Claude代码配合使用，他们

0:10 得到了

0:10 疯狂的结果。这真的是个游戏规则改变者

0:15 我一直很慢接受黑曜石，因为对我来说看起来有点令人生畏

0:19 所以我请了我的朋友

0:21 Vin，他清楚地解释了黑曜石是什么，如何和Claude代码一起使用

0:28 如何设置这些命令，从Claude和所有

0:34 大型语言模型中获得最大收益，真是

0:35 一集令人难以置信的节目，真正改变游戏规则的一集，因为我觉得懂得

0:40 如何使用黑曜石和Claude代码的

0:43 人们，将能够过上更快乐、更健康、更富足的

0:48 生活

0:48 为什么？因为它可以随时为你提供惊人的想法

0:53 所以我知道坚持看到这集结尾的人

0:57 我认为对很多人来说

0:59 这将彻底改变他们使用AI的方式，并且

1:04 这将是一个超级有影响力的方式，因为你会在

1:07 合适的时间、合适的时刻获得更好的想法，这会让你更快乐、更健康、

1:11 更富有。享受这集节目吧

1:21 我请来了亲爱的朋友Vin，也就是互联网Vin出现在播客里。我

1:26 真的是求他来

1:28 我求他，求这位先生来

1:33 教我们一件非常具体的事情。Vin，到这集播客结束时，

1:39 大家会学到什么？

1:40 我希望你了解如何把Claude代码和黑曜石

1:46 作为思维伙伴一起使用

1:47 我希望你了解如何停止

1:51 反复向智能代理解释事情，只需传入特定

1:55 文件，我还希望你明白

1:57 如何利用黑曜石和Claude代码去察觉

1:59 一些关于你思考方式的东西，而没有这些工具你自己

2:03 是发现不了的

2:04 好，从你口中说出，愿上天听见。我们开始吧

2:08 好的，首先什么是Claude代码？

2:14 Claude代码是一个可以使用

2:17 命令行界面的智能代理，基本上是你可以用来

2:23 控制你的电脑的工具，

2:25 你可以通过自然语言来操作它，对吧？

2:27 比如我可以说创建一个文件，或者在我的桌面创建一个文件，

2:32 内容是“Hello Greg”，用纯文本形式

2:36 它就会去执行这个操作

2:40 这真酷，这之前是无法

2:44 做到的

2:46 以前我得去桌面，打开文本编辑器，然后创建那个文件

2:51 对吗？

2:51 现在这个文件就在我的桌面上了

2:53 我可以说打开这个文件，瞧，Hello Greg。太疯狂了吧？

3:00 现在

3:03 有趣的是，如果你有这样一个可以控制

3:06 并操控电脑的智能代理

3:08 这意味着你描述给它的任何事情，它都能开始做了，所以

3:14 当你向它描述一个项目时

3:16 或者你和它进行长时间对话时，

3:19 它能做的事情越来越复杂，信息越多，

3:24 它能做的事情就越复杂

3:25 但问题是，如果你得，比如说你写了很长的项目描述，或者你和代理

3:28 进行了长达一小时的对话，谈论具体的

3:32 项目，我不想每次都新建会话去解释这些东西

3:35 我不想反复解释这些

3:40 很多人在网页上使用Claude或ChatGPT，它们

3:40 有记忆功能，

3:43 但你无法控制，你不知道那记忆里有什么，

3:48 你不知道它知道什么，不知道它不知道什么，所以

3:49 需要有某种方法，

3:53 方便快捷地向智能代理传递信息，

3:57 信息越好，传递越快，

3:59 它能为你做的事情就越多，

4:04 你也能越快地把任务交给它代理

4:06 好，所以

4:09 现在

4:11 即使我，比如说，我写了一个

4:14 大的项目描述，

4:15 创建一个描述项目的文件，

4:19 这个项目是这样的，

4:21 一个代办清单应用，

4:25 设计非常简约，

4:31 能读取

4:35 我的所有日程，

4:38 消息，

4:41 我的Slack，

4:43 并将它们转化成它认为我应该做的任务清单

4:45 这只是个想法，对吧？

4:49 这个文件可以放在我的桌面，

4:53 当我用Claude代码时，我可以引用那个文件，随时传入，

4:59 这很重要，

5:03 因为这是上下文，对吧？对，游戏的关键就是

5:07 给智能代理提供好的上下文

5:08 没错

5:11 我也不想反复这么做，当我花几天时间处理这个项目，

5:16 我不会记得我们之前谈过什么，所以我需要某种

5:20 文件可以传进去。抱歉，Greg，刚才说什么？

5:25 对，这就是很多人在用Claude代码时面临的问题，

5:27 他们用着用着，

5:31 会觉得还行，但不算改变游戏规则

5:32 That I can like pass in. Oh, sorry Greg. What's that?

5:35 Yeah, and that's that's sort of the problem that a lot of people are facing

5:39 with cloud code is like they're using it and then

5:42 They're saying well, it's it's okay. It's not like game-changing

5:45 问题是他们没有在正确的时间提供正确的

5:49 上下文。是的，完全正确，所以这里是

5:53 这是一个项目

5:56 描述，它写了，显然我可以传入这是一个

5:59 这是我刚创建的一个通用示例

6:02 但你可以让这些变得非常复杂。你可以将它们逐步构建成强大的

6:05 文件

6:07 所以我们知道

6:09 Cloud code 可以创建文件，它可以重复执行，也可以

6:11 读取文件，对吧？所以现在我可以说，比如我创建了一个新会话。这里是

6:16 一个新会话，现在我可以说我

6:19 想要处理

6:21 这个项目，然后我这里，这就是

6:26 待办 - 应用，搞定。现在我不需要再解释文件了，我

6:30 不需要重新解释项目，对吧？

6:32 所以它会读取这个文件，然后开始像

6:36 这帮我省了很多时间，很棒的项目，在深入之前有几个

6:39 问题来规划第一个会话

6:40 接下来继续。那么，什么是 Obsidian？

6:43 Obsidian 是一种工具，类似于一个界面，它位于

6:50 一组

6:53 Markdown 文件之上，对吧？这里它正在读取一个 Markdown

6:58 文件。我用 Obsidian 做故事开发，对吧？

7:01 我有每日笔记

7:04 这是我的每日笔记，这也是一个 Markdown 文件

7:09 我应该进行自己的基本分析，思考事物如何保持纯粹

7:14 当它们成长并变得更主流时，对吧？

7:16 这只是我有的一个文件，我有

7:20 一个关于 Greg Eisenberg 的文件，我还没放进去，很奇怪。

7:25 是的

7:25 我会做文件，记录我从别人那里学到的东西，

7:30 诸如此类

7:32 所以我为所有事情

7:34 有不同的文件，对吧？有趣的是，使得“vault”（保险库）这样的东西不同于普通文件夹的是

7:38 Obsidian 与整个系统交互，

7:41 它被称为“vault”，让它区别于文件夹的是？

7:44 Obsidian 不仅仅是与一个

7:49 文件夹里的文件

7:51 交互

7:55 它还能让你建立

8:00 文件之间的联系。比如我可以说今天我在一个播客节目中

8:03 与 Greg Eisenberg 合作，这个文件就链接到了那个 Greg Eisenberg 的文件

8:08 非常有趣，非常有趣，所以很多人，像很多人

8:13 非常喜欢使用 Obsidian 和类似工具，

8:17 就是因为这个

8:19 构建互相关联的能力

8:21 这是单纯的电脑文件夹无法做到的

8:26 显示这种相互关系

8:28 所以当你开始

8:32 持续建立这些相互关系时会非常有趣

8:35 对了，这里有个小的可视化，在这里

8:41 每一个圆圈代表一个文件，

8:45 并显示它们如何与我写过内容的其他文件相连

8:50 比如这里是个人代理

8:53 基础设施

8:55 对，我可以看一下

8:58 我觉得我还应该加点评论，说说做这个演示有多难

9:01 这里面有很多个人信息，因为这是我的

9:02 个人资料

9:06 所以我甚至不知道屏幕上会显示什么，对吧？

9:07 但这就是做这种演示的一部分，虽然奇怪

9:10 但很有趣

9:14 你可以看到个人代理基础设施链接到像 Genetic AI

9:15 这里有个链接到 telegram

9:19 这里也有个链接到 Toby

9:21 和 Shopify 创始人有关的链接。还有链接到 Presence Log Quad Bot

9:23 你知道，然后这里我有一个播客叫“其他东西”，然后

9:28 你会看到我显然在

9:32 思考很多东西，对吧？

9:35 所以我

9:40 还可以，比如说我去 Greg Eisenberg，打开本地图谱

9:44 这里显示我写过关于 Greg Eisenberg 的所有内容

9:48 关于时间限制的笔记，如何使用 Obsidian，这很

9:52 有趣

9:53 如果我说“我也爱你”，那我就说“我也爱你”

9:56 如果我在听节目并发现不同的模式，

10:00 我可以把它关联回 Greg。非常有趣，但

10:04 关键是

10:06 人们喜欢 Obsidian 是因为这些相互关系

10:10 你可以打开一个文件，然后你

10:13 打开这个文件，然后想，哦，有提到 Greg Eisenberg，

10:15 我可以点开，直接跳到相关文件

10:17 这很有趣，没错。它的工作方式更像是

10:22 你的大脑运作方式，你的大脑一直在连接各种模式

10:25 问题来了。是的，我知道这很有趣，

10:31 但这怎么能让我产出更好的结果？

10:36 正是如此

10:37 接下来，Obsidian 推出了一个新工具叫 Obsidian CLI，

10:39 它让你可以使用 Cloud Code，

10:43 它能读取你 Obsidian vault 中所有文件，vault 就是

10:48 一个文本文件夹

10:53 但通过 Obsidian CLI，Cloud Code 不仅能读取和访问这些文件，

10:55 还可以获取这些文件之间的相互关系信息

11:00 你可以看到 Cloud Code 可以知道，这个文件连接了那个，

11:02 还有那个，和那个

11:08 这对于 Cloud Code 理解你，以及它能

11:09 做到什么来说，非常有趣

11:14 非常关键

11:16 对于你来说意义重大

11:20 以及 Cloud Code 能做的事情

11:22 了解

11:24 你正在处理的所有事物之间的关系，可以开始

11:28 显现出你思考内容的模式

11:31 你并不是

11:32 亲眼看到一些你可能已写了一年的想法

11:35 在这个知识库中

11:36 它可能是一个潜在的想法，能立刻提醒你说，嘿

11:39 你知道自己一直在写关于这个相同的模式和创业公司吗？

11:43 在这个特定项目中？

11:45 你在每一条笔记中工作

11:47 你在不同领域做的笔记，第一次看到它们

11:51 可能会产生巨大的灵感闪现效果

11:53 它能带来巨大进步，你在学习和

11:56 理解以及你对世界的看法

11:59 还有你所做的工作

12:01 所以我现在写了，我想演示这到底如何运作

12:06 我如何传递

12:07 信息给一个没有 obsidian 和 cloud code 根本无法做到的代理

12:11 代码

12:11 这是我用的一些命令，我不希望你害怕

12:16 这些东西

12:18 我知道看起来很复杂

12:20 但是

12:21 这是我

12:23 我已经准备好的一些命令，这是我创建的终端

12:27 在 obsidian 中运行

12:29 你不必使用它，你也可以在自己的终端

12:33 会话里用任何工具操作

12:35 但我放在 obsidian 里，是想把它们都整合展示

12:38 并且展示你如何集成和定制

12:41 这个环境

12:42 所以

12:44 这是个酷东西。slash context / context 加载关于我生活的全部背景

12:50 工作和当前状态读取

12:52 上下文文件、每日笔记，并跟进反向链接构建完整画面。所以

12:56 我就直接展示给你看

12:57 比如说我新开了个会话

12:59 在一个

13:02 我桌面上的 cloud 里，现在我准备开始做点什么

13:06 但在开始前，我先输入 context demo

13:09 它会读取大量关于我当前状态的文件，完成

13:13 我已经预加载了所有这些上下文

13:19 你看它开始读取所有这些文件

13:21 正在读取读我文件，正在读取关于 new 的背景，这是我正在做的一个媒体公司

13:25 它还在读取其他内容

13:27 正在读取我的个人其他项目，这是我的节目

13:30 正在读取个人工作流上下文，所以我无需担心

13:34 它不知道我想了解的关键信息

13:37 我只需执行一个命令，它就完成了全部信息的收集

13:40 然后我可以用 slash today，它是早晨复盘，会拉取日历任务

13:45 我过去一周的每日笔记消息，生成当天的优先计划

13:49 这为什么重要？

13:50 当然，你可以设置一个代理，给它访问你的日历和

13:55 你的任务还有消息等权限

13:58 但那缺少了所有关于你在思考什么和为什么的信息

14:01 如果我每天写笔记关于某项

14:05 特定技术或项目或兴趣，那我的

14:08 日历是否会主动反映这些？它是否匹配我

14:12 实际上正在写的主题？

14:14 如果代理有这些上下文，它能更有效地给你

14:19 关于你应做什么或不应做什么的信息，或者更有效地为你

14:24 决定日历中应有什么或不应有什么

14:27 还有一个命令 slash closed day

14:29 日结处理

14:32 提取行动项，显现知识库关联，检查置信度标记

14:36 需要不断更新

14:37 我有很多假设，我会给它们一个置信度

14:42 等级

14:42 这是我正在做的一个想法，我对此很有信心。还有另一个想法

14:46 我正在做，我不太确定

14:48 这些都是

14:50 日常操作内容，但

14:52 这是我用 obsidian 最多的用途，作为思考工具。我

14:58 非常非常喜欢将大型语言模型作为思考伙伴一起工作

15:03 这是我使用大型语言模型的最喜欢方式

15:05 我知道有人喜欢用代理和大型语言模型来构建东西

15:09 但我更喜欢用它们陪我一起思考，创造当我觉得

15:14 你知道

15:15 我确实有一种新颖的看法。所以

15:17 我们来看这里

15:20 所以 ghost

15:22 这是个命令，让它用我会的方式回答问题，构建

15:27 一个来自知识库的声音档案

15:29 用那种声音写作，然后评估可信度

15:31 我可以直接问“我怎么看 AI”，我给你展示一下

15:36 挑战主题，如果用知识库自身历史测试当前信念

15:41 寻找矛盾、相反证据和思路转变

15:44 这为什么重要？

15:46 如果我想确保自己作为一个人持续成长

15:50 以及在技能上

15:52 我想确保自己的观点不至于过度偏见或局限

15:57 这就可以挑战我

15:59 浮现

16:01 显露知识库暗示但未明说的想法

16:04 从零散前提、未命名的模式、未表达的方向得出结论

16:08 这非常非常有用，因为很多时候

16:12 你知道，我可能会陷入一个阶段，只是在多种方式中提出想法

16:18 多年

16:18 仅仅有人对我说一句简单的话：

16:23 嘿

16:23 这只是给这个想法命名。嘿，你知道你一直在绕着

16:27 这个模式转吗？

16:27 重大突破

16:30 Slash drift 它将我声明的注意力意图与

16:36 实际行为在30到60天内进行比较

16:38 显现我在回避的内容

16:41 播客上的人们，听众们可能会喜欢这个深度的30天

16:45 保险库扫描，结合跨领域模式卡组

16:48 检测和图谱分析，生成跨所有领域的想法。

16:52 这给了我

16:53 不仅是我应该处理的事情的想法，它还给我工具

16:57 和类似的东西的想法

16:58 但它也给了我想法，比如我应该看的电影

17:01 应该再买的产品，所有这些都受我

17:05 在保险库里写的东西影响

17:06 Trace 追踪想法在保险库中随时间的发展轨迹。我们来看

17:13 一些东西

17:14 trace 演示

17:17 我已经做过这个，操作方式是我创建了一个

17:21 标签页，然后我可以直接输入 Claude

17:25 Trace，我不得不为所有这些创建了演示版本

17:28 命令，因为我的保险库里有太多个人信息，但我

17:33 甚至不知道，无法控制

17:36 屏幕上会显示什么，我只是个糊涂的问题，比如

17:40 我们看到的那些命令

17:42 是

17:44 你创建的命令，还是 obsidian 自动生成的？那些是

17:48 我创建的命令，

17:52 你可以通过让 Claude 代码创建特定

17:56 命令来非常轻松地创建它们

17:56 嗯，我们可以包括

17:59 我会在节目说明里加上

18:02 一个链接，大家可以点击获取 VIN 的一些

18:08 技能，如果可以的话，没问题。你可以看到这里

18:15 我所做的是只输入 slash trace demo，demo 是因为我公开展示

18:18 我是如何使用 obsidian 的，

18:21 这个操作会追踪我的，

18:24 我如何发展、导航这个想法穿越我的保险库

18:29 我这里有个例子，很有趣

18:33 我做了它，然后让它运行，它做的就是，正如所说的

18:39 全部追踪

18:40 你与 obsidian 的关系是如何演变的，让我先构建一个

18:43 词汇地图并在保险库中搜索

18:45 所以

18:47 它开始浏览保险库，读取所有

18:52 这些不同的文件，可以看到所有通过 obsidian CLI 连接的文件

18:54 这真厉害

18:58 这是我自己绝对做不到的，去

19:02 阅读所有这些文件，

19:04 了解它们如何相互关联

19:06 这作为人类我是完全做不到的，然后它会输出到

19:10 这里

19:10 我现在拥有构建这个追踪所需的一切。这是完整的演变

19:13 追踪我如何使用 obsidian

19:16 首次出现2025年1月11日，时间跨度13个月。这是针对这个

19:22 保险库里的所有文件特定的

19:25 它显示

19:27 保险库之前2024年12月，我如何在多伦多西区做笔记的文章

19:32 日期为12月1日

19:33 2024年，描述了一个完整的系统，其中 obsidian 没有任何角色

19:38 这个系统是通过 Mac Whisper 的音频转存，LLM 对话循环，Canopio 用于

19:42 空间映射，纸质笔记本用于认知摩擦

19:45 未来平台用于跟踪，Arena 用于片段，流程是捕捉、

19:48 处理、结晶化

19:50 这是基线，obsidian 不在其中，发现和设定

19:54 怀疑阶段2025年1月至5月

19:56 保险库中的第一条每日笔记，既兴奋又不确定

20:01 我可能也会把转录放这里，作为存储方式

20:06 目前的理论是，以定向链接的方式做笔记

20:09 并不太有用，但我不确定

20:11 然后

20:14 它显示选定的工具

20:16 最初我用的是反向链接。它显示

20:20 我如何使用 obsidian 的笔记，一个关键的反向链接认知

20:24 最初，我用反向链接指向通用主题，如播客、健身或

20:28 电影制作

20:29 我意识到这不是使用 obsidian 的最佳方式

20:32 最重要的是为我的每个模式

20:36 理论、项目和视角创建笔记，把它们从脑海中写出来，

20:39 然后链接到那些笔记

20:41 所以它就是从

20:44 我写过的内容中抽取，形成了这一

20:50 概念的历史

20:51 我可以用任何事情做这件事，比如初创公司，

20:54 特定项目、食物、我的人际关系，就像是

20:59 一个爱好

20:59 任何东西，没错。然后第四阶段2026年1月，一个爆发式建设月

21:05 一切仍需

21:09 我积极提示和管理每个部分

21:11 下一步的解锁是弄清楚如何让代理任务自动运行

21:15 自动化

21:15 摩擦不再是 obsidian 本身，而是保险库和代理执行之间的界限

21:19 所以你看，我真的在逼自己，

21:20 这很酷

21:24 这对我理解自己

21:28 对这个工具的使用如何进化非常有用

21:32 我觉得太荒谬了，我只是

21:38 做笔记，

21:40 关于我生活中各种不同事情，甚至作为父亲，

21:44 我都能反思我学到的不同东西。我就是觉得这

21:49 疯狂的是，和

21:50 一台电脑能掌握这么多关于我的信息，并揭示这些模式

21:55 我自己做不到这么快，这真是个很棒的工具

22:01 对我来说

22:01 就像我现在可以直接在这里写，边想事情边写

22:05 它还能给我灵感，对吧？

22:08 关于

22:09 我的生活和我正在做的项目

22:11 所以我可以说，我的Obsidian关系的演变很有趣

22:19 随着时间的推移

22:21 这让我思考很多

22:25 我和电脑的关系是如何发展变化的

22:32 从小时候到现在

22:35 现在

22:37 很有趣

22:39 这些事情是如何随着时间积累发生的，而我们并没有真正意识到

22:46 是吗？

22:46 这就是一个想法的例子，对吧？

22:51 所以我认为掌握Obsidian的一部分

22:56 是反思，将反思融入日常生活，因为很多

23:03 人

23:04 我们从一个会议赶到另一个会议，非常忙碌，我们是父母

23:07 嗯

23:10 我们长大后当然会在笔记本上写东西

23:14 但我觉得随着年龄增长，我们写作和反思反而越来越少

23:19 是的

23:19 你知道，如何？

23:22 你是如何将反思融入生活的？

23:27 嗯，我想

23:30 对我来说，反思有两个有趣的理由

23:34 写笔记也很有趣

23:37 其中一个是

23:39 可以回头看这些笔记，比如我现在

23:43 显然，我可以用智能助手

23:44 但我去看这些笔记时

23:47 意识到我这个人一直在变化，我的技能

23:51 一直在变，项目也在不断发展

23:53 反思是生活中极其美妙的一部分，可以看到

23:58 事情如何随着时间变化

23:59 你如何变化，世界如何变化

24:03 但还有一个功能性原因

24:07 我喜欢频繁做笔记的原因是这是我产生想法的方式

24:10 当我坐在电脑前

24:12 写东西的时候，想法就来了，比如这件事，我

24:15 刚刚写下了

24:15 只是一个快速笔记，实时写的，随手写的

24:18 对

24:20 通过写出来，我感觉更能内化它，而且我喜欢有好的

24:25 想法

24:26 我喜欢进步，因为我喜欢好点子，也喜欢进步

24:30 写作就是我的方式，所以我认为

24:33 如果你想养成写作习惯，我觉得首先你要

24:36 把它和这个想法联系起来：这是你进步的方式，这是你

24:40 产生想法的方式，这是你

24:44 形成原创思维的方式

24:46 另一个我要说的是

24:48 写作

24:51 现在是你委派任务给智能助手的重要方式

24:52 这是一个全新的层面。所以如果你能养成

24:56 写作习惯

25:01 你就能给智能助手提供更多上下文，进而

25:02 极大提升你能委派的任务量和

25:07 能做的事情

25:11 我希望这是个好回答

25:13 这和

25:15 这和OpenClaw有什么关系呢？

25:17 如果你想到OpenClaw，

25:21 本质上

25:23 它就是你的延伸，可以去做事情，

25:30 你知道的，

25:32 独立完成

25:35 或者在你的指导下完成。所以你怎样将Obsidian的命令、

25:41 OpenClaw和反思

25:44 协调结合呢？

25:47 我觉得比如这里有个我使用的命令示例，

25:52 就是一个日程安排命令

25:54 所以

25:56 我要求它做的是安排

25:59 我说今天2月20日下午2点能安排和Greg Eisenberg的会议吗？

26:03 对

26:05 它会检查我的日程等

26:08 并且会查看我的每日笔记

26:11 它会查找我关注的事，然后给我一些

26:14 建议。比如它说

26:16 你的日程已经满了，今早你有Greg播客录制

26:20 接着是团队午餐和和Peter、Vince的会议

26:23 你2月17日的笔记显示，Greg的那集一直是重点，有专门的Greg Eisenberg笔记

26:26 没有2点的会议，所以建议是不安排

26:28 实际上你可能根本不需要额外开会

26:31 这才是正确答案

26:35 这和OpenClaw有什么关系？

26:37 嗯

26:39 OpenClaw就是一个自治智能代理，如果你设置好，

26:44 它可以不需要你一直提示，自动处理事情

26:48 它可以自主做决定，为你搭建东西

26:49 独立完成

26:51 所以现在OpenClaw可以

26:53 像我刚才做的那样执行命令，也能自主执行

26:57 它可以读取我的知识库，找到关联，做出决策

27:00 然后采取行动

27:05 代表我，更深刻地理解我自己，而不是像

27:10 管理一个代理或与另一个人

27:12 类的人谈论某件事。我只是专注于管理这个知识库。这是

27:16 新的来源

27:17 我不断努力让这个知识库拥有所有

27:21 所需信息，这样我就可以委派给代理，

27:25 代理可以直接从这个知识库来源获取信息并做出决策，如果它

27:29 做出错误的决策，

27:30 我会更改知识库的内容，而不一定是直接与代理

27:34 合作。

27:35 这大概是我对这个话题的猜测。

27:42 我觉得非常有趣。是的，我想

27:44 让我有点担心的是，如果Obsidian真的是你的

27:49 第二大脑，

27:50 给OpenAI访问你的第二大脑是

27:54 可怕的，是的，很可怕，我想说这是这项技术

28:00 最根本的

28:06 奇怪的元素之一，我故意给

28:12 Obsidian，呃，不是，给OpenAI或者任何代理访问大量信息，

28:19 我就是故意这么做，

28:21 因为我和这项技术的关系是：我想了解这些东西是什么，我想

28:26 了解它们揭示了什么，

28:28 你知道我们和计算机的关系是如何变化的，

28:31 但是，

28:33 这很怪，得真正考虑你

28:37 分享给这些

28:38 代理多少信息，以及这是正确的决定还是错误的决定，

28:43 我认为

28:44 隐私作为一个概念将如何发展和

28:48 变化，以及我们为之奋斗或不为之奋斗，都会非常有趣，

28:52 还有未来的

28:53 我们的社会和世界，即使对这些命令中的每一个，我都必须创建

28:58 它们的一个新版本，一个演示版本，

29:01 这样我在播客录制时不会泄露太多个人信息，

29:05 即使如此，这也是个权衡，

29:08 你知道，我可以输入演示版本，但谁知道屏幕上会显示什么，

29:11 你知道的。

29:12 你还想展示哪些其他命令？

29:16 所以，

29:20 有

29:21 Connect（连接）

29:22 它允许我连接两个领域，利用

29:26 知识库的链接图谱，

29:27 我可以说我

29:30 在这里做了一个，

29:32 然后我让它

29:35 连接

29:38 电影制作和世界构建，它会读取所有这些

29:41 不同的文件，

29:43 然后开始说好，让我们把这两个概念连接起来，

29:47 比如笔记和电影制作，

29:50 笔记和电影制作邻近区。所以我写了35部电影观看清单，这是我和Toby的第一次

29:55 会议，

29:57 笔记在世界构建邻近区，

30:01 世界构建的文章，

30:03 作为新媒体公司。这些是我正在思考的不同内容，所以

30:07 桥接一个是采访门户和构建的世界，

30:10 如果我在电影制作中注意到具体某件事并提出问题，

30:14 它会打开通向某人的内心世界的门户，那个世界往往

30:18 是丰富的概念、信念和愿景宇宙。

30:20 关于世界构建的文章，我

30:22 希望我的博客能向你展示我重视什么、相信什么、担心什么，像

30:27 一座古埃及的坟墓，

30:28 我希望我的博客成为一个地方，你即使在我离开后也能来这里挖掘和研究，

30:32 这些是我写的内容，我能看到这些想法如何

30:35 相互连接，

30:36 桥接二「常驻纪录片」=持续的世界构建，

30:40 常驻纪录片是一种创意策略，公司通过纪录片持续叙述

30:45 他们角色的追求、冲突和愿景，

30:49 这些是我写的内容，它向我展示这些内容

30:53 的连接方式，我

30:54 认为这可以变得

30:57 非常有趣，取决于你愿意

31:01 连接哪些内容，

31:01 根据你在知识库中写的内容，你也可以玩得很疯狂，

31:05 比如我想，我可以连接烤肉卷和初创公司，看看

31:06 它们之间产生了什么样的联系，

31:10 这真是很有趣，因为所有这些发生得非常快，而且我

31:12 不需要向大语言模型解释任何事情，

31:15 我只要输入内容，就像

31:18 斜杠 connect filmmaking world building，

31:20 你用的很多例子都是个人反思。是的。你

31:22 怎么想的？

31:26 你知道，

31:32 比如会议记录，也许你有像Granola或者Gemini这种

31:32 做笔记，

31:36 你知道的，做笔记或者把笔记放进Obsidian，

31:41 顺便说一句，当我说笔记时，可以是你没参加过的会议，

31:42 他们可能只是，

31:45 你知道，Tommy和Vince开过会，我想把它放进这里，

31:51 是的，

31:55 你怎么看这事？

31:56 这是个好问题。我认为你可以随意使用这些知识库，

32:01 无论是

32:02 以什么方式，

32:05 你想放入任何文本都可以，比如你想把Granola会议

32:09 的文字记录放进来，

32:10 你都可以放进去，只要你保证，

32:14 知晓内容的安全即可，

32:15 你必须确保你知道

32:18 也许你是在这么做，对吧？就是开会然后

32:21 然后你就想着，好吧

32:22 这些是，也就是项目一，然后每次开会

32:26 你做会议记录，然后放到这里，对吧？所以你

32:30 就是和Greg Eisenberg开会

32:32 然后

32:34 再加上，然后再然后

32:36 你知道的

32:37 这就创建好了，现在你可以直接丢你的特伦特

32:40 你可以直接把会议记录丢进这里

32:42 然后它就在保险库里，然后你可以传给智能助手或者

32:45 智能助手会发现它，对吧？

32:46 尤其是如果你开始标记，比如说我要标记回，比如说

32:50 我的播客什么的，现在

32:52 它就被连接了，所以智能助手有了更多上下文，然后

32:57 知道这个特伦特的记录和这个文件有关，很棒

33:00 我觉得这取决于你

33:02 我觉得你放多少信息进这里，取决于你

33:05 想怎么用保险库，想怎么

33:08 把任务交给智能助手，也许你甚至想创建不同的保险库

33:11 用于不同的用途，对我来说

33:14 我用大型语言模型和智能助手来

33:18 提升我自己对某些主题的理解程度

33:21 所以我用它做很多反思之类的事

33:23 所以我不希望智能助手自己写进文件里

33:27 比如我可以轻松让它这么做，我甚至可以说，比如说这里

33:31 我让它写了一些我今天会谈到的命令的说明

33:35 今天

33:35 但是我不想让它做文件，因为我想

33:39 控制我Obsidian里所有文件

33:41 保险库，因为我总想引用我自己对事情的看法

33:45 而不是它对事情的看法，如果它开始自己在

33:49 这个保险库建文件

33:50 那我就不清楚它在找的模式，是它写的东西的模式，还是

33:54 我写的东西的模式

33:57 所以我给自己定了一条规则，就是严格区分

34:02 这两种东西

34:03 我只想在这里旁边写东西，然后我会拿那个内容

34:08 然后写我自己的想法

34:11 应该包括什么内容

34:13 对。是的，是的，继续。我刚想说，

34:17 我能理解用它来做自我反思的力量

34:24 我也能理解

34:27 人工智能的强大之处

34:30 你知道

34:32 去网上找基于趋势的信息，然后

34:36 以你想要的方式提炼它，

34:39 并且把它放进你的世界，这也很有趣。是的

34:44 完全正确，我觉得还有，比如说，如果你让Obsidian，

34:51 如果你让

34:51 Cloud Code去浏览你的Obsidian文件，生成想法

34:55 这些

34:58 你知道，你应该做的工具的想法，那么你就可以说

35:01 好，太棒了

35:02 如果我有个想做的工具，帮我生成一个

35:05 描述，然后我就去做工具

35:08 没错

35:10 是的，我想展示这个

35:13 这样就少了反思的成分

35:16 比如说，我做了个叫idea browser的网站。

35:23 每天

35:24 都会给出一个经过验证的创业想法，理论上有人可以

35:29 拿这些信息放进Obsidian保险库里，然后基于

35:35 这些

35:36 实质上，帮他们做出真正的东西，没错，完全正确

35:41 我想给你看看，因为我觉得它真的能让它

35:45 从反思的领域走出来，进入创造的领域，

35:49 但唯一的问题是，这需要一点时间，

35:51 没关系。对，还有就是用这些

35:58 命令我注意到的另一个模式是，它们需要一点时间，

36:01 因为它们要读很多文件，我觉得这是用Obsidian和

36:05 用Cloud Code访问我这个Obsidian保险库的一个很大区别，

36:07 我注意到的是

36:12 我所有的

36:12 请求都慢了很多，就是因为它读的文件多了很多。

36:17 你看看这个

36:18 这是一个想法演示，我会运行一个全面的想法生成，

36:23 让我先并行收集保险库结构和上下文，然后

36:27 如果你看，会发现它做了很多有趣的事情，

36:30 对

36:31 它在找Obsidian孤儿文件，

36:33 也就是说孤儿是指那些

36:39 孤立无援、没有连接文件的文件

36:40 很有趣，它能知道这些

36:42 Obsidian死角、Obsidian已解决、Obsidian标签计数，它是在

36:47 尝试弄清这些文件之间的联系

36:50 然后它说，好，读取每日笔记

36:55 然后找到了一份叫new context的文件，是我在做的新媒体项目

36:59 然后

37:00 又读取了其他内容，就是播客那边的上下文。我还想说，

37:04 我管理

37:07 我写，我为比较详细的项目创建上下文文件，我会

37:13 给你看

37:13 我本来不知道要不要展示这个，因为它很私密，不过

37:18 对于其他的东西，

37:18 你看看这个其他工作的上下文，最近发生了什么变化？

37:23 前期投入的简介，是通过去旧金山、纽约录制嘉宾

37:27 嘉宾

37:27 这都是非常私人的内容

37:29 但其他东西，节目的核心信念和研究

37:34 坚实的基础，最好的对话就像发现般坚实

37:38 你知道，有个团队正在努力。所以接下来发生的是

37:44 非常个人化，但这是

37:46 上下文刚刚被拉入，所以现在它知道谁在做我的播客

37:53 最近的假设是什么？我正在探索哪些假设？

37:56 它刚拿到了那个信息，这只是它做的事情之一

38:01 个人工作流程上下文

38:02 超级个人的文件，但它显示了

38:06 你懂的，比如

38:09 我的日程安排是怎样的，知晓我生活中必须做的事情

38:13 个人生活

38:13 所以它拉取了我喜欢怎样工作，不喜欢怎样工作的信息

38:17 个人代理基础设施

38:20 还有一件事。看看拉出来会怎样

38:24 这是一个项目，我想踏出一步，增强我的个人

38:28 基础设施工作流程委派

38:30 无论你怎么用代理来描述它，理解它的含义

38:32 越来越多地委派给代理

38:34 实施方法

38:36 这就是我在写的内容

38:39 关于我个人如何使用代理的文件，且那是

38:44 文件的一个例子

38:46 它正在读取，这只是其中之一。你也看到了其他内容

38:49 个人工作流程

38:50 它把所有这些都考虑进我让它做的任务里，也就是

38:54 帮我生成点子

38:55 从你的日记、日程和volstructure里收集数据。这需要

38:59 一会儿，因为它又从多个来源拉取数据，这是这套系统的

39:03 特点：它要处理大量信息，很多信息

39:08 大量信息

39:09 所以它会更久，你知道，它已经运行了五分钟了

39:13 是的，这就是我所注意到的，但

39:15 对我来说，这正是我想要的，我想要LLM给我

39:22 非常非常有上下文的回应

39:24 针对我写的内容和思考，我想这就是

39:28 我和代理最好的协作方式，我只专注于

39:32 持续

39:34 记录我当前项目的进展、我的理解和我发现的

39:39 有趣之处，我想保持这些信息

39:41 尽可能最新和深入

39:45 可能

39:45 所以无论何时我和代理交流，它都能最好地展现

39:49 我在那个时刻的状态，当我请求代理帮助时

39:53 是的，这就是目标

39:55 这是我们都应该问自己的问题，就是

40:00 代理是否拥有关于我项目、偏好、梦想、希望和目标的最新信息

40:04 因为它的好坏，取决于它信息的最新程度，对吧

40:10 没错

40:15 百分之百，代理所掌握的信息质量，完全

40:16 决定了它能为你做什么

40:21 对，如果它对你了解不多，帮不了你太多

40:23 对

40:27 但如果它了解很多，它就能为你做很多事，我觉得

40:27 甚至有时是你自己都未意识到的事

40:32 有点奇怪这么说，但就是这样

40:36 这很合理，因为

40:40 归根结底

40:42 它是在串联点滴，是的，city和Obsidian

40:44 和Claude代码都在串联点滴

40:50 现在

40:53 作为一个企业主或个人生活中的个体，要串联这些点其实很难

40:54 为什么很多人在某种程度上会去？

40:59 教练、治疗师那里

41:01 是的

41:03 你去看治疗师，

41:06 一般

41:10 你说话最多，对吗？想想看

41:12 你在大量反思，而治疗师或教练

41:16 是在引导你

41:19 从某种角度说，这就是这个系统在做的事，我不是说

41:20 别去看治疗师，只是说

41:24 我的观点是它帮助你揭示

41:27 那些点，以及如何串联它们

41:33 是的，绝对如此，对我来说，这真的很令人兴奋

41:37 是的，这是个疯狂的时代

41:41 计算机的发展

41:46 我们来看这个，这任务完成了。这是一个点子生成报告

41:49 vault关系探索。这相当

41:53 详尽，对吧

41:56 来一份点子报告

41:58 我觉得这会很好地展示我们如何从

42:04 反思迈向可执行的行动

42:07 所以

42:09 结构亮点。这依然是Obsidian的东西，比如孤立文件

42:14 值得注意

42:15 这里有些防务技术内容，这是加拿大

42:19 正在增长的一个主题

42:20 大量的知识投入，独自思考，还有孤儿代理软件

42:24 孤儿意味着这些文件

42:26 我没有真正链接它们，只写过一次或类似的

42:29 未解决的链接揭示隐性兴趣

42:34 隐藏的关联，还是反思内容，很好。Obsidian

42:39 Cloud code的组合系统对我很有效

42:42 它带来了真正的突破和思考产出

42:45 当天域结构被强制实施时，这基本上是我开始

42:49 把我的日程分开，每天有具体重点。这很棒

42:54 这非常真实，Greg Eisenberg那集是个推动力

42:58 它把几个月对Obsidian和代理的思考压缩成清晰

43:02 的论点和示范，非常真实

43:04 你知道，上节目并做这个，迫使我

43:07 综合我所知道和呈现的一切

43:11 但这里我们开始进入可操作的内容，构建工具

43:16 基于每日笔记的斜杠毕业斜杠命令每日笔记创意提取器

43:23 充满了创意

43:24 抱歉，每日笔记充满了创意标签和有趣的想法，但从未

43:27 得到发展，库里有九个创意标签

43:30 但有数百个未被发现的洞见，构建一个命令，扫描最近的每日

43:35 笔记，识别带标签或未带标签的创意，并提示你决定

43:39 创建独立笔记、添加到现有文件或忽略

43:43 这将每日笔记流变成结构化的创意管道

43:47 针对新手的Obsidian库，我只需要管理和设置一个中央ob

43:51 sidian新手库

43:52 这意味着，就像

43:55 我创建这个所有的库，里面有我所有的创意和模式及

43:59 诸如此类的东西

44:00 我为什么不为我的团队创建一个呢？

44:02 作为团队，我们可以去提问，我们都可以

44:07 贡献进去

44:09 开始使用的工具来了

44:12 这是什么？针对所有外部文档的类型？

44:15 有趣的时间分块应用，强制按日期分块，一个

44:21 按领域强制每日分块的应用，意思是我每天专注一件事

44:25 生活中的某个方面。它说为什么不创建一个强制执行的时间分块应用

44:30 很有趣

44:32 待实施的系统

44:35 一句话，代办Obsidian代理处理任务。这就是演示

44:39 第三版Greg Eisen的

44:41 Eisenberg预设。你已经在想象了，下一步是实际

44:45 构建它，从小做起，对吧，安排一次本周的电话讨论某个主题

44:49 在每日笔记中，然后让Otis或clogbot或open claw接手

44:53 处理它

44:54 所以它可能意味着你可以直接从笔记中委派任务，我是

44:58 这么理解的，非常有趣

45:00 是的，我认同，内嵌委派，也许这就是一种新的

45:06 用户体验模式

45:07 我甚至不知道，你可以把它内建到这些不同工具里

45:09 待调查的主题

45:14 Christopher Alexander的模式语言应用于数字空间，很有趣

45:18 Black Mountain College作为体育场馆模型，体育场是一种物理空间

45:23 我们在多伦多有

45:24 无作者媒体这一概念

45:26 深圳硬件生态如何运作，写作和发布的内容

45:32 有用的东西

45:33 语境架构论文，计算机作为场所，软件书籍将成为

45:38 时尚

45:39 多伦多理论究竟是什么？

45:42 编辑思维小刊

45:45 待进行的对话，不是你，是现实中的人，Aaron体育场

45:49 工作坊主持，关于成为技术编程的核心

45:52 这里是一个空间，我们没有，多伦多要毁了，还有另一个人的项目

45:57 关于制作项目的旗舰系列

45:59 Steph 和 Obsidian CEO，关于库作为一个场所

46:01 所以这是

46:05 这真疯狂。它建议了我应该见的人，前五名

46:10 高影响力，马上做，构建毕业命令或执行手动每周创意审查

46:16 ？

46:16 这太疯狂了，伙计。这真的很疯狂

46:21 就像

46:23 而且它是纯文本，不是，不含

46:28 图片

46:29 虽然不易阅读，但我有点喜欢，因为它

46:34 朴素

46:35 你明白我的意思吗？是的，我喜欢那种美学，因为我是个书呆子

46:38 但你可以直接说，你可以直接说，显然你

46:41 可以说，能不能把这个

46:43 变成一个漂亮可读的HTML文件，放在我的桌面上。这个很难读

46:51 它会做的，嗯。对吧，所以，如果你不喜欢

46:54 那样的话

46:55 随你怎么做。你明白我的意思吧？我喜欢这样

46:58 这种美学

47:01 但这就是如何从反思中走出来的办法，当然，知道吗，当然

47:06 当然了

47:06 我们也可以说，如果我们不想做这个

47:10 也可以说它推荐那个斜杠毕业命令，所以我可以

47:15 直接说构建斜杠毕业命令

47:20 对吧，这很有趣，这是你很多命令开始构建的方式吗？

47:24 ？

47:25 它就开始建议，然后你就说，去构建吧

47:29 嗯，我最初是自己动手做的，比如我在想

47:34 自己设计命令

47:35 但后来，我开始问代理，说等等

47:39 你觉得哪些命令有趣，此外可能有用的还有

47:43 另一件我想做的事是，我喜欢

47:46 在使用LLM时提升抽象层次

47:51 我的意思是我可以说，做一个命令

47:55 告诉我每天该关注什么，这就是我想的命令

48:02 但当我，另一种做法是，你可以退一步，然后我说

48:03 基于我的Obsidian库和你对我的了解

48:07 形成对我理解水平的认知，

48:12 考虑到我是个怎样的人，以及我正在做的项目，基于此

48:16 建议我应该使用哪些命令，能让我从初级

48:21 提升到更高水平

48:23 对，就像让它为我推荐命令，而不是我来推荐命令

48:28 然后我从中选择

48:29 看看这个，这就是代理基于它读了我的库后的想法

48:35 基于我做的笔记，对吧？所以看看这是啥，日记创意提取器

48:37 So look at this. This is this is it was this was the agent's idea based on what

48:41 it read in my vault

48:42 Based on the notes. I'm taking right so let's see what this is daily note idea

48:46 extractor

48:46 想法、见解和原创思维在每日笔记中积累细节

48:51 但很少升级成独立笔记，无法通过反向链接复利增长

48:55 通过反向链接

48:56 此命令扫描近期每日笔记，筛选最佳候选项并辅助

49:00 决定推广为想法或其他内容，对吧？

49:03 当然

49:05 事情就是这么运作的

49:06 扫描所有近期每日笔记，交叉参考现有

49:10 库，呈现候选项

49:12 选定想法升级为独立笔记时，若创建新笔记则在库根目录

49:18 创建该笔记

49:19 将笔记写成迷你论文或工作文档，捕捉核心观点

49:24 或起源于该每日笔记的问题与背景

49:27 并作为反向链接连接到其他库中的笔记

49:31 这些都是它捕捉核心观点或问题的方法

49:33 你可能看到这觉得，这不过是代理生成的文本

49:37 确实如此

49:39 但对我来说感受不同，因为我知道

49:43 我写了很多关于这些事情的内容，我了解，甚至

49:48 迷你论文这回事

49:49 这些词对我来说有特定含义

49:52 这真的太疯狂了，非常有上下文感

49:55 我知道它在说什么，因为我花了很多时间在这个工具上

49:59 也花了很多时间写作

50:00 所以，是的，我创建了它，这个命令也会创建它

50:03 对，就是这样

50:07 这真是不可思议，因为我只是随便做笔记

50:10 同时有一个并行代理在查看我的笔记

50:13 给我提供如何改进工作流程提升生活的想法

50:17 不仅可以给建议，它还能直接构建

50:20 东西

50:20 任务完成

50:22 我们就在这里有它，使用“/graduate”命令，我可以直接点击

50:25 它就会运行

50:27 真疯狂

50:29 如果我是 OpenAI 或 Anthropic，我一定会买下 Obsidian

50:34 因为它是缺失的环节

50:40 是的，真疯狂，这就是缺失的环节，事实上有人

50:43 顺便说一句，你说服我了

50:46 我已经下载了 Obsidian，我认为它是免费的，对吧？是的

50:51 开源的

50:52 我下载了，但还没

50:57 创建我的笔记库，因为我想

50:59 你知道

51:01 我知道它会很棒

51:04 我知道我会深入使用它

51:06 这实际上超出了我的预期，这真是

51:09 事实

51:12 就是

51:13 毫无道理

51:15 毫无道理

51:16 这事实——如果你认真使用大型语言模型来整理想法，并充分利用它们

51:23 如果你认真构建所谓的个人操作系统

51:28 If you're serious about building, you know, what people are calling a personal

51:32 OS

51:32 但你没有用像这样的去中心化笔记工具

51:38 用 Markdown 作为基础的

51:42 那么你就没有正确使用大型语言模型，至少没用到极限

51:49 没错，你没有充分利用它

51:53 所以我觉得困难的是

51:56 它确实需要

51:58 花费大量时间

52:00 并想要设置好它，需要

52:04 like

52:07 是的，这确实需要时间，而且界面太

52:12 令人畏惧，因为它就是一块空白画布

52:15 不像是“嘿，你应该在这写你的偏好”或者

52:19 你只能自己

52:20 自己想办法

52:24 是的，必须自己想出点子

52:26 但是

52:29 这还是非常棒的，因为即便和其他人合作

52:33 我们也得想办法给他们解释

52:33 我觉得很酷

52:37 that

52:38 现在我们可以跟这些代理合作，虽然还是得解释给它们听

52:42 但只需解释一次，因为一旦写进了文件

52:46 文件里

52:46 我们就可以随时引用这个文件，解释项目或偏好

52:50 它一直存在，也可以传入使用

52:53 文件就像是

52:55 完美的记忆，是吧？

52:58 人类有记忆，我们会回忆

53:01 但大量研究表明，我们记得的东西其实

53:06 和真实情况

53:07 完全不一样，例如

53:09 我们去密西索加理发时

53:13 我本以为那是我理过的最好的一次发型

53:18 记忆里是个好发型，但谁知道呢

53:22 那可能是我理过最糟的发型

53:25 现在

53:29 Obsidian 或你最终用的任何工具

53:32 如果我把它写下来

53:35 记忆，也就是 Markdown 文件是完美的

53:40 这样当我链接或调用它时，得到的就是完美的

53:46 嗯

53:47 数据点，关于这些文件的另一点是，你

53:51 希望？

53:52 它们基本上没有偏见，跟写下反思的人偏见一样

53:56 在那个时间点是这样，是的

54:01 这真疯狂，伙计，

54:05 是啊，真的很疯狂，而且这里面有各种不同的方面，

54:10 它，

54:10 还有它的隐私性，以及这意味着什么，

54:14 还有它的力量，事实上现在你可以用自然语言和这些

54:17 计算机工作，直接委托它们，

54:20 嗯，这里还有像我这样的人，正在使用这些

54:24 工具，试图搞清楚如何以这种方式将任务委托给代理，

54:27 还有像我这样更极端的不同类型的人们，

54:31 不断推动它们，

54:32 我只是觉得活在这个时代太疯狂了，因为我觉得我们可能，

54:37 潜在地，

54:38 正在见证人类与计算机关系的根本转变，

54:44 我真的很高兴能在这个时期活着，

54:47 我很好奇这一切会如何展开？

54:50 嗯，酷的地方在于？

54:52 99.99%的人不会花时间，

54:59 真正设置这样的东西并将其变成日常生活的一部分，

55:05 而且

55:05 这个，

55:07 可以说是领先的一种状态，

55:12 在更加高效、

55:14 快乐、更健康、

55:16 更赚钱的职业生活方面，就是使用这种结合大型语言模型的工具，我

55:22 同意，

55:22 我不是说今天就去下载Obsidian，我跟他们没有任何关系或什么的，

55:27 但我是说，

55:29 选一个，我们似乎都应该做的事情，我是在给自己这个建议，

55:34 就是说，

55:36 我再也没有理由不去写笔记和进行反思了，

55:42 对，用Markdown文件。是的，在一个大型语言模型使用Markdown文件的世界中，Markdown文件，

55:48 才是氧气，

55:50 人们认为tokens（令牌）是氧气，是的，但其实不是，

55:55 Markdown文件才是记忆。想想人类是什么，

56:00 是的，你知道，

56:03 人类是什么，

56:06 是人的能量呢，还是它的记忆？你知道我们曾被称作，

56:11 你懂的，

56:12 这就是个哲学问题，也许两者兼而有之，

56:17 但，

56:19 我觉得，

56:22 Markdown文件确实很有趣，

56:27 它们被低估了，

56:30 为了拥有真正的，

56:34 计算机体验，在如今这个时代，确实，

56:38 这里发生了一些事情，

56:39 某种根本性的转变，确实很棒，

56:42 是啊，我的工作有点糟糕，你知道，我是在实时学习，对吧？

56:46 而且我甚至没有合适的词汇来解释这一切，

56:49 是的，

56:50 现在它们太高级了，伙计，我不知道，我正在尝试，

56:54 实时搞清楚，

56:55 这就是为什么我觉得，比如说，我展示一些东西，对我来说，

56:58 我会做一些事情，或者我会看到一些东西，我的朋友们会笑我，

57:02 因为我会坐在电脑前，

57:04 痴迷地思考，我想那是因为我真的很喜欢电脑，

57:09 我无法相信，

57:10 这是真的，

57:13 我可以只是像小时候一样在电脑上做笔记，

57:17 然后，

57:18 突然间，这个代理可以扫描这些笔记并构建东西，

57:23 正因如此，

57:24 它能连接我永远看不到的模式，太疯狂了，伙计，

57:28 太疯狂了，

57:30 归根结底，你说得对，它不过是一堆相互关联的，

57:34 Markdown文件而已，

57:35 是的，

57:36 酷，伙计，感谢你，我不知道你能不能看到我现在的思维，

57:40 我彻底惊呆了，

57:41 谢天谢地，

57:44 我想对你做对的那件事，我每次都这么说，伙计，

57:48 但我会一直说下去，永远都说给你听，

57:51 我真的非常非常非常感谢你所做的一切，

57:54 我觉得你的模式识别和模式匹配能力，

57:58 真的是被严重低估了，我觉得你做的很多事情，

58:02 如果不专心注意，是很难发现的，

58:05 我只想说，感谢你所做的一切，

58:08 你总是在节目中带来新的声音，我看到了，真的很感谢，

58:12 真的很感谢，

58:13 能认识你真是一种荣幸，是的，感谢这个机会，感谢你，伙计，

58:16 我感激你，Vin，你是传奇。我会附上链接，

58:18 告诉大家去哪里关注，

58:21 被严重低估的网络名人Vin，

58:24 在X（推特）、他的YouTube节目，

58:26 播客的节目说明和简介里，你都可以去看看，

58:30 各位，请多玩玩这些工具，

58:36 告诉我你的想法，也请告诉Vin你的想法，拜托，

58:41 然后，

58:48 我会恳求你再次回到节目，

58:49 希望你一定会回来，伙计，谢谢你，谢谢，

58:51 And I hope you come back on again for sure man. Thank you. Thank you

0:00 This is obsidian and obsidian is this little tool that people are using as

0:05 their second brain

0:06 But what's really cool about it is they're pairing it with Claude code and they

0:10 're getting

0:10 Crazy results out of it. It's literally a game changer now

0:15 I've been slow to adopt obsidian because to me it's been a little daunting to

0:19 look at so I had my friend

0:21 Vin and he clearly explains what obsidian is how to use it with Claude code

0:28 How to set up these commands that really drive the most out of Claude and all

0:34 the LLM's and it's an incredible

0:35 Episode like a really game-changing episode because I think that people who

0:40 understand how to use obsidian and how to use Claude code

0:43 Together, they're going to be able to live happier healthier and wealthier

0:48 lives

0:48 Why because it gives incredible ideas to you on tap

0:53 So I know that the people that stick around to the end of this episode

0:57 I think that for a lot of them

0:59 It's going to absolutely change how they use AI and it's gonna be a super

1:04 impactful way because you're gonna get better ideas at the

1:07 Right time the right moment and it's gonna make you happier healthier and

1:11 wealthier. Enjoy the episode

1:21 I've got my dear friend vin also known as internet vin on the podcast. I

1:26 literally begged him to come on I

1:28 begged him I begged this man to come on and

1:33 To teach us a very specific thing Vin by the end of this podcast episode. What

1:39 are people gonna learn?

1:40 I want you to have an understanding of how you can use Claude code and obsidian

1:46 as a thinking partner

1:47 I want you to have an understanding of how you can stop

1:51 Having to explain things to agents over and over again and just pass specific

1:55 files in and I want you to understand

1:57 How you can use obsidian and Claude code to notice?

1:59 Things about the way you think that you would not have noticed on your own

2:03 without these tools

2:04 All right from your lips to God's ears. Let's get into it

2:08 Okay, so first is like what is Claude code?

2:14 So Claude code is this like agent that you can use

2:17 in a command line interface, so it's just basically this tool you can use that

2:23 you can control your computer and

2:25 You can use it through natural language, right?

2:27 So I can say make a file or make a file on my desktop

2:32 That says hello Greg and plain text

2:36 Right and it's gonna go and do this

2:40 That's really cool. That's that's something that's that's new. That wasn't

2:44 possible before before this

2:46 I had to go to the desktop open some text editor and then like create that file

2:51 , right?

2:51 And now this file is on my desktop

2:53 So I can say open the file. There we go. Hello Greg. That's crazy, right?

3:00 Now

3:03 What's interesting about this is if you have this agent that can like control

3:06 and do things on your computer

3:08 That means that whatever you can describe to it like it can start to do and so

3:14 when you if you describe a project to it

3:16 Or you get into these long conversations with an agent

3:19 It can do more and more complex things the more information it has the more

3:24 complex things

3:25 It can do but the problem is that if you have to let's say, you know

3:28 Like I write some super long description about a particular project or I have

3:32 like an hour conversation with this agent about a particular

3:35 Project, it's like I don't want to have to create a new session to explain that

3:40 all

3:40 I don't want to have to explain that over and over and over again a

3:43 Lot of people are using like Claude or Chachi PT on the web and it has things

3:48 like memory

3:49 But you you can't like control you don't know what's in that memory, right?

3:53 You don't know what it knows and what it doesn't know and so there needs to be

3:57 some way of like, you know

3:59 Passing information into these agents that is easier and faster and the better

4:04 information you can give it and the faster

4:06 The information you can give it the more stuff if it can do for you and the

4:09 better the faster you can delegate to it

4:11 Okay, so

4:14 now

4:15 Even if I let's say let's say I had like, you know, let's say I wrote like a

4:19 big project description here, right?

4:21 Create a file that describes, you know a project

4:25 About

4:31 To-do list app that

4:35 is very minimally designed and

4:38 reads from

4:41 all of my calendar

4:43 my messages and

4:45 My slat and slack and

4:49 Interprets it into a task list that of tasks

4:53 That it thinks that I should do. I don't know some some idea, right?

4:59 So now this this is a file that could be on my desktop and

5:03 what I can do when I use cloud code is I can reference that file and pass it in

5:07 whenever I want and

5:08 why that's important is because

5:11 It's the context, right? Yes whole game is

5:16 Feeding the beast good context. Yes

5:20 Exactly, and I don't want to have to do this over and over again and and when I

5:25 work on this over days

5:27 I'm not going to remember like what we talked about right so I want some kind

5:31 of file

5:32 That I can like pass in. Oh, sorry Greg. What's that?

5:35 Yeah, and that's that's sort of the problem that a lot of people are facing

5:39 with cloud code is like they're using it and then

5:42 They're saying well, it's it's okay. It's not like game-changing

5:45 And the issue is they don't have they're not they're not feeding the right

5:49 context at the right time. Yes exactly and so here's

5:53 So here's like a project

5:56 Description that it wrote and obviously I can pass this in and this is like a

5:59 this is like a general one that I just created

6:02 But you can make these like very complex. You can build them into like robust

6:05 files right over time

6:07 so we know that

6:09 Cloud code can create files and it can repeat and it can

6:11 Read files, right? So now I can say let's say I created a new session. So here

6:16 's a new session and now I can say like I

6:19 Want to work on

6:21 This project and I go here and it's gonna be

6:26 To do - app here it is boom now. I didn't need to explain the file again. I

6:30 need I didn't need to explain the project again, right?

6:32 So it's gonna read this file and it's gonna start like

6:36 You know that saved me a lot of time great project before diving in a few

6:39 questions to scope the first session

6:40 So that'll continue. So now what is obsidian?

6:43 right obsidian is this tool that it's kind of like an interface that sits on

6:50 top of a

6:53 Collection of markdown files, right? So here like this is reading a markdown

6:58 file. How I use obsidian story development, right?

7:01 I have a daily notes

7:04 This is my daily notes. This is a this is also a markdown file

7:09 I should do my own fundamental analysis into think into how things stay pure

7:14 when they grow and become more mainstream, right?

7:16 This is just a file that I have I have

7:20 You know like a file on Greg Eisenberg that I haven't put it. That's weird.

7:25 Yeah

7:25 And so I make files like notes of things that I'm learning from people and

7:30 stuff like that, too

7:32 So I have different

7:34 Files for everything right and the interesting thing that makes a vault which

7:38 is obsidian what obsidian interacts with this whole thing

7:41 It's called a vault what makes it different than a folder is that?

7:44 Obsidian is not only interacting with just like a you know

7:49 a folder of files

7:51 But what it does is it also allows you to make inter

7:55 To connect relationships between files so I can say today. I am on a

8:00 podcast with

8:03 Greg Eisenberg now this file is linked to that Greg Eisenberg file

8:08 Super interesting super interesting and so when people like like like people

8:13 There's a lot of people who really really like of using obsidian and tools like

8:17 obsidian because of this

8:19 ability to form interrelationships

8:21 This is unique to just having a folder a folder on your computer cannot show

8:26 these interrelationships and

8:28 so it gets really interesting when you start to

8:32 Keep making these like interrelationships over time

8:35 right and so what happens here's a little visualization and so in that here

8:41 these are each one of these circles is a file and

8:45 In and it's showing how it's like connected to all of these other files where I

8:50 've written things about so here's like personal agent

8:53 infrastructure

8:55 Right and so I could look you know

8:58 And I guess I should also add just kind of a comment on this and what was

9:01 difficult doing this demo

9:02 There is like so much personal information in here because this is like my

9:06 personal thing

9:07 So I don't even know like what's gonna show up on the screen here, right?

9:10 But that's part of doing demos like this, which is which are kind of weird and

9:14 interesting

9:15 But you can see personal agent infrastructure link links to like a Gentic AI.

9:19 There's like a link here to telegram

9:21 There's a link here to like Toby

9:23 With the founder of Shopify. There's a link to like presence log quad bot

9:28 You know and then here's like I have a podcast to call the other stuff and like

9:32 you'd see I'm obviously doing a lot of like

9:35 Thinking about that a lot right and so I

9:40 Can also let's say if I go to Greg Eisenberg and I go to local graph

9:44 So here's like all the times I've written about Greg Eisenberg

9:48 Right notes on time constraints how I use obsidian, which is just kind of

9:52 interesting

9:53 So if I'm less too then I love you, too

9:56 If I'm listening to a show and I'm picking up different patterns

10:00 I can I can reference that back to to Greg. So that's really interesting, but

10:04 here's the thing

10:06 The reason why people love obsidian is because of these interrelationships the

10:10 idea that you could open a file and then you know

10:13 I just open this file and then I'm like, oh interesting. I mentioned Greg Eisen

10:15 berg. I can click that and it goes to that file

10:17 That's interesting, right? It shows it works more to it. It works more like the

10:22 way your brain works your brain connects these patterns all the time

10:25 Here's the question. Yeah, yeah, so I see why it's interesting

10:31 But how does this get me better output?

10:36 Exactly. Yeah

10:37 So the next thing is obsidian

10:39 released this new tool called obsidian cli and

10:43 what that allows you to do is it allows you to use cloud code and

10:48 It can go and it can read all of the files in your obsidian vault, which is a

10:53 folder of text files

10:55 But with the obsidian cli it can give cloud code not only those files that it

11:00 can read and access

11:02 But it can also give cloud code information about the interrelationships of

11:08 those files

11:09 So you can see so cloud code can see that Oh, this file is connected to this

11:14 file and this file and this file

11:16 And that gets very interesting in terms of what cloud code can understand about

11:20 you and what cloud code can

11:22 understand about

11:24 All of the relationships between the things that you're working on it can start

11:28 to surface patterns about what you're thinking about that

11:31 You are not

11:32 Seeing for yourself some idea that you might have been writing about for a year

11:35 in this vault

11:36 It could be a latent idea and it can just immediately say like hey

11:39 Did you know that you've been writing about this same pattern and startups or

11:43 in this particular project?

11:45 You're working on in every single note

11:47 You're making across these different domains and and seeing that for the first

11:51 time can be like a huge light bulb effect

11:53 It can cause like huge progressions and you're learning and you're

11:56 understanding and your point of view on the world

11:59 But also in what you're working on

12:01 So I've written now I wanted to demonstrate how that actually works in terms of

12:06 how I can pass

12:07 Information into an agent that would be impossible without obsidian and cloud

12:11 code

12:11 So here's some commands that I have that I use and I don't want you to be

12:16 afraid of like all this stuff

12:18 I know this can look intense

12:20 but

12:21 here here's what I'm

12:23 Here's what I've got some commands and this is just terminal that I've created

12:27 and I'm running it in obsidian

12:29 You don't need to use this you can just also do this in your own terminal

12:33 session on in whatever tool you want

12:35 But I put it in obsidian because I want to see it all together

12:38 And I wanted to show you the ways in which you can like integrate and customize

12:41 this environment

12:42 so

12:44 Here's a cool thing. So context slash context load full context about my life

12:50 work and current state reads

12:52 context files daily notes and follows backlinks to build a complete picture. So

12:56 I'll just show you that right here

12:57 So like let's say I open a new session

12:59 in in a

13:02 In cloud just on my desktop and now it's like I'm about to work on something

13:06 But before I work on it, I can just type context demo now

13:09 It's gonna read a whole bunch of files about where I'm currently at done

13:13 Like I've already preloaded I've already preloaded in all this context now so

13:19 you can see it's gonna start reading all these files

13:21 It's reading a read me. It's reading context about new which is a media company

13:25 that I'm working on. It's reading about other stuff

13:27 It's reading my personal the other stuff is my show

13:30 It's reading a personal workflow context and so I don't have to worry about it

13:34 not knowing the key information that I wanted to know

13:37 I just did that one command and now it's gonna get all that information done

13:40 So I can use slash today, which is a morning review pulls calendar tasks

13:45 I messages in the past week of daily notes and into a prioritized plan for the

13:49 day. Why does this matter?

13:50 Well, okay sure you can set up an agent and give it access to your calendar and

13:55 your tasks and I messages and things like that

13:58 But it's miss it's that's that doesn't have all of the information about what

14:01 you're thinking about and why if I'm writing daily notes about some

14:05 Particular technology or project or thing that I'm interested in does my

14:08 calendar reflect actively like does it match the subjects?

14:12 I'm actually writing about

14:14 If an agent has that context you can it can it can more effectively give you

14:19 Information about what you should do or not to or it can more effectively make

14:24 decisions on what should be in your calendar or not in your calendar

14:27 Here's another one slash closed day

14:29 and if day processing

14:32 Extracts action items surfaces vault connections checks confidence markers

14:36 needs to be updating

14:37 So I have a bunch of hypotheses that I think about and I give them a confidence

14:42 rating

14:42 This is an idea. I'm working on I feel very solid about it. Here's another idea

14:46 . I'm working on I'm not sure about it

14:48 So these are like

14:50 daily operations things, but

14:52 This is what I use obsidian for the most, which is thinking tools. I

14:58 Really really really like working with LLM's as a thinking partner

15:03 It's my favorite way of using LLM's

15:05 I know people like to use agents and LLM's to build things

15:09 But I really like using them to think alongside me and build when I feel like,

15:14 you know

15:15 I really have a novel way of viewing things. So

15:17 Let's see here

15:20 So ghost

15:22 Here's he's a command to have it answers the question the way I would it builds

15:27 a voice profile from the vault

15:29 Rights in that voice then evaluates the fidelity

15:31 So I can just say what do I think of AI and I'm going to show you this

15:36 Challenge topic if pressure tests current beliefs using the vault's own history

15:41 finds contradictions counter evidence and shifts in thinking

15:44 Why does that matter?

15:46 Well, if I want to make sure that I'm continually developing as a human being

15:50 and as a as a as in my skills

15:52 I want to make sure that you know the POV I have is an overly biased or limited

15:57 . So this can challenge me

15:59 emerge

16:01 surface ideas the vault implies but never states

16:04 Conclusions from scattered premises unnamed patterns unarticulated directions.

16:08 This is super super useful because a lot of times

16:12 You know, I can be stuck just surfacing ideas in a in a in a lot of different

16:18 ways

16:18 Like for years and just having someone say a simple thing to me that just says

16:23 hey

16:23 This is just naming the idea. Hey, did you know that you keep circling around

16:27 this pattern?

16:27 huge breakthroughs

16:30 Slash drift it compares it compares my stated attention intentions against

16:36 actual behavior over 30 to 60 days

16:38 Surfaces what I am avoiding

16:41 Ideas people on this podcast the listeners will probably like this one deep 30-

16:45 day vault scan with cross-domain pattern deck

16:48 Detection and graph analysis to generate generate ideas across all domains.

16:52 This gives me

16:53 Not just ideas on like things I should work on like it gives me ideas for tools

16:57 and things like this

16:58 But it also gives me ideas. I'm like films. I should watch

17:01 Products I should buy again all influenced by like like things. I'm writing

17:05 about in my vault

17:06 Trace tracks how an idea has evolved over time across the vault. So let's see

17:13 some of this stuff

17:14 the trace demo

17:17 So I did this one already and the way this would work is I just like create a

17:21 tab here and I could just be like Claude

17:25 Trace and I had to create demo versions of all of these

17:28 Commands because of how much personal information is in my vault, but still I

17:33 don't even know like I can't even control

17:36 What is going to show up on the screen and I I have just a dumb question like

17:40 all those commands that we saw

17:42 is that

17:44 Command say you created or is that what obsidian created that those are

17:48 commands that I created and

17:52 You can create them very easily by just asking Claude code to create a specific

17:56 command

17:56 Mm-hmm. We can include

17:59 I'll include in the show notes in the description

18:02 Just like a link where people can click to get access to some of VIN's

18:08 Skills if that's if that's yeah for sure. Yeah, so you could see here

18:15 What I did was I just typed slash trace demo demo is just because I'm showing

18:18 this publicly how I use obsidian and

18:21 so what this does is it tracks my I

18:24 The way I've developed neat the way I've navigated this idea through my vault

18:29 So I have an example here. It's really interesting

18:33 So here I did it and I and I and I let it run and what it's doing is as it says

18:39 like all trace

18:40 How your relationship with obsidian has evolved let me start by building a

18:43 vocabulary map and searching across a vault

18:45 so it

18:47 When you have a like so now it starts going through the vault reading all of

18:52 these different files and it can see all of the files

18:54 That are connected using the obsidian CLI. This is a lot man

18:58 This is this is something that I would never be able to do on my own and to

19:02 read all of these files

19:04 Just know what how they're interconnected with each other

19:06 This is just not possible for me to do as a human being and then it spits to

19:10 this out

19:10 I now have everything I need to construct this trace. Here's the full evolution

19:13 trace how I use obsidian

19:16 First appeared January 11, 2025 timespan 13 months. That's in relation to this

19:22 vault specifically meaning all the files in here

19:25 It says

19:27 Pre-volts December 2024 the essay how I take notes in the west end of Toronto

19:32 dated December 1st

19:33 2024 describes a complete system where obsidian plays no role at all

19:38 The system is audio dumps via Mac whisper LLM dialogue loops canopio for

19:42 spatial mapping physical notebooks for cognitive friction

19:45 And future land for tracking arena for fragments the pipeline is capture

19:48 process crystallization

19:50 This is the baseline obsidian is not in the picture discovery and set

19:54 skepticism January to May 2025

19:56 The first daily note in the vault raw excitement mixed with uncertainty

20:01 I could probably drop transcriptions in here too as a way of storing them

20:06 The current theory is that in terms of note-taking by directional linking is

20:09 not that useful, but I don't know

20:11 then

20:14 It says the chosen tool

20:16 Originally I was back ring link. It says here

20:20 How I use obsidian note a pivotal realization about back linking

20:24 Originally, I was back linking to general terms podcasts or physical fitness or

20:28 filmmaking

20:29 I'm realizing it's not the most useful way to use obsidian

20:32 The most important thing to do is to create notes for each of my patterns

20:36 Theories projects of perspectives and get them documented out of my head and

20:39 then link to those notes

20:41 so it's just it's just like pulling from

20:44 Things I've written and it's forming this historical at this history of this

20:50 concept

20:51 And I could do this with anything. I can do this with like startups

20:54 I can do this with a particular project with foods my relationships like a

20:59 hobby

20:59 Anything right and then phase four January 2026 a month of explosive building

21:05 Everything still required and then like everything still requires me to

21:09 actively prompt and manage each section

21:11 Session the next unlock is figuring out how to get agents tasks to run

21:15 automatically

21:15 The friction is no longer with obsidian itself, but with the boundary between

21:19 the vault and agent execution

21:20 so you can see I'm really pushing myself, right and

21:24 It's cool. This is a this is a very

21:28 useful thing for me to understand how my

21:32 use of this tool is evolving and it's just I think it's just absurd that I can

21:38 just be making notes and then

21:40 about all of these different things through my life like even as a parent I

21:44 Can I can like reflect on the different things? I'm learning. I just think this

21:49 is insane that and

21:50 A computer can have this much information about me and surface these patterns

21:55 I would not be able to do this on my own and this fast and what a great tool it

22:01 is for me

22:01 Like like I can just like now write in here and I'm you know as I'm thinking

22:05 about things and it gives me ideas, right?

22:08 about

22:09 My life and the projects that I'm working on

22:11 So I can say, you know, it's interesting the way that my relationship with obs

22:19 idian has evolved over time

22:21 It makes me think a lot about

22:25 The way in which my relationship with computers has evolved

22:32 over time since I was a kid

22:35 to now

22:37 it's interesting

22:39 How these things just happen and compound over time and we don't really realize

22:46 it?

22:46 So it's just like a no, right? It's an idea. So that's an example of something

22:51 so I think a part of getting good at obsidian sounds like

22:56 Reflect, you know inserting reflection into your everyday life because a lot of

23:03 people

23:04 You know, we're moving from meeting to meeting we're busy we're parents

23:07 You know

23:10 We grow up and we of course write things down in notebooks and stuff like that

23:14 But I feel like as we get older we actually write and reflect less and less.

23:19 Yes

23:19 You know, how do you?

23:22 How have you been able to insert reflection into into your life?

23:27 Yeah, I think

23:30 For me, it's really about there's there's two reasons that I think reflection

23:34 is interesting and making notes a lot are interesting

23:37 one is

23:39 That it's great to be able to look back on them like for me now

23:43 Obviously, I can use an agent

23:44 but for me to go back and see these notes and

23:47 Realizing that oh like I'm a person that's continually changing my skill is

23:51 continually changing projects are continually evolving

23:53 It's it's just a mate is an amazing part of life to be able to reflect on how

23:58 things are changing over time

23:59 And how you are changing over time and how the world is changing over time

24:03 But the other thing is that there's like a functional reason to a reason

24:07 I like to make notes a lot is because that's how I generate ideas when I like

24:10 get when I sit down on my computer

24:12 And I write things down. That's where ideas come for example. This thing. I

24:15 just wrote here

24:15 It's just a quick note. I'm just doing it in real time. I'm just making it up

24:18 right now, but

24:20 By writing it out I feel like I internalize it more and I like having good

24:25 ideas

24:26 I like progressing so because I like having good ideas and I like progressing

24:30 Writing is how I do that and so I think

24:33 To you know if you want to cultivate

24:36 Like a writing as a habit. I think first you have to

24:40 Connect it with the idea that this is how you progress and this is how you

24:44 generate ideas and this is how you have

24:46 form original ways of thinking

24:48 the other thing I'll say is

24:51 that

24:52 Writing right now is a big way of how you delegate things to agents

24:56 That's like a whole new that's a whole new aspect of it. So if you can develop

25:01 a writing habit

25:02 You have a lot more context that you can pass over to an agent which then

25:07 Dramatically, I think increases the amount of like things you can delegate and

25:11 the amount of things you can build

25:13 I hope that was a good answer

25:15 How does

25:17 How does this relate to open claw because if you think of open claw

25:21 It's essentially

25:23 You know at the best case an extension of you. Yeah, that could go and do

25:30 things, you know

25:32 independently

25:35 Slash based on your guidance. So how can you use commands obsidian and

25:41 Open claw and reflection

25:44 harmoniously

25:47 Yeah, so I think if you look at like here's an example of one command that I do

25:52 It's just like a schedule command

25:54 and so

25:56 What I asked this thing to do as I said schedule

25:59 I said can I take a meeting with Greg Eisenberg today at Feb 20 at 2 p.m

26:03 right and

26:05 What this does is of course you can look at my calendar and stuff like that

26:08 But it's also going to look through my daily notes

26:11 It's gonna look through what I care about and then it's gonna give me some

26:14 perspective. So it says

26:16 Your day is stacked. You're already recording on Greg's podcast this morning

26:20 followed by a team lunch outing and meeting with Peter and Vince

26:23 Your Feb 17 notes show the Greg episode has been top of mind the bulk as a

26:26 dedicated Greg Eisenberg note

26:28 No, not a - so the recommendation is no not at 2 p.m

26:31 But you might not need a separate meeting at all. Yeah, that's that's actually

26:35 the correct answer. How does that relate to open claw?

26:37 well

26:39 Open claw is just like autonomous agent that can go and do things if you

26:44 Set it up to do that like it can do things without you having to prompt it all

26:48 the time

26:49 It can just go and make decisions and build things for you

26:51 on your own

26:53 So now what open claw can do is in the same way

26:57 I just did this command open clock and do this on its own as well and

27:00 It can go and read my vault find connections and then make decisions

27:05 On behalf of me with like a deeper understanding of me and now instead of like

27:10 managing an agent or talking to another

27:12 Human about working on something. I just focus on managing this vault. This is

27:16 like the new source

27:17 I just continually try and make it so that this vault has all of the

27:21 information needed so that I can delegate to an agent and

27:25 The agent can just pull from this vault source and make decisions and if it's

27:29 not making the right decisions

27:30 I'm changing something on the vault. I'm not necessarily working with the agent

27:34 specifically

27:35 Kind of kind of that's my speculation on that subject

27:42 I think it's very interesting. Yeah, I think

27:44 One thing that worries me a little bit about it is if obsidian is really your

27:49 second brain

27:50 giving open claw access to your second brain is

27:54 Scary yeah scary and I would say that is the

28:00 Fundamental

28:06 The weird element of this technology I would say and I have purposely given

28:12 Obsidian I mean sorry a cloud code or any agent access to a lot of information.

28:19 I've purposely done that because my

28:21 Relationship with this is I want to understand what these things are and I want

28:26 to understand what they're revealing about

28:28 You know how our relationship with computers is changing

28:31 but

28:33 It's weird. It's like you have to really think about how much information you

28:37 're sharing with these

28:38 agents and whether that's the right decision or not the right decision and

28:43 I think

28:44 It's going to be very interesting to see how privacy as a concept evolves and

28:48 changes and what we fight for or don't fight for and like

28:52 the in the future of

28:53 Our society in our world even with every one of these commands. I had to create

28:58 a new version of them a demo version

29:01 So that I wouldn't reveal too much personal information while I'm on screen on

29:05 this podcast and even then it's like a it's a toss-up

29:08 You know I could type the demo version, but who knows what's going to be shown

29:11 on screen, you know

29:12 What other commands do you want to show?

29:16 so

29:20 There's

29:21 Connect

29:22 Which is allow it allows me to take two domains and connect them using the

29:26 volts link graph

29:27 so I can just say I

29:30 Did one here?

29:32 And I just asked it to

29:35 Connect

29:38 filmmaking in world building and so it goes through and it reads all these

29:41 different files and

29:43 Then it can start to say okay. Let's let's connect these two concepts

29:47 so notes and filmmaking

29:50 Notes and filmmaking's neighborhood. So I was like 35 film watch list my first

29:55 meeting with Toby

29:57 notes in the world building neighborhood and

30:01 The world building essay

30:03 New as a media company. So these are different things. I'm thinking about so

30:07 bridge one the interview portal and the constructed world

30:10 In filmmaking if I noticed something specific and ask the question about it

30:14 It would open a portal into a person's internal world, which is often a vast

30:18 universe of concepts and beliefs and visions

30:20 So world building essay I

30:22 Want my blog to show you what I value what I believe what I worry about like a

30:27 tomb from ancient Egypt

30:28 I want my blog to be a place that you dig up and examine long after I'm gone

30:32 These are things that I've written and I can start to see how these ideas

30:35 connect together

30:36 Bridge to always on documentary equals continuous world building

30:40 Always on documentary is a creative strategy where companies continuously narr

30:45 ativize their characters pursuits conflicts and visions through documentary

30:49 So these are like things that I'm writing about and it's showing me the ways in

30:53 which these are connected I

30:54 Think this can get

30:57 Very interesting depending on the kinds of things that you're willing to

31:01 connect together

31:01 You could get probably pretty crazy with it as well depending on what you're

31:05 writing about in your vault

31:06 I could connect like shawarma and startups if I wanted to for example and see

31:10 the kind of connections that are coming between these things

31:12 again

31:15 Really interesting because all of this is happening super quickly and I don't

31:18 need to explain any of this to an LLM

31:20 I can just type something it's like

31:22 slash connect filmmaking world building

31:26 The the a lot of the examples you're using is personal reflection. Yes. Do you

31:32 think about?

31:32 You know

31:36 For example, no taking in meetings like maybe you have like granola or Gemini

31:41 notes taking

31:42 you know

31:45 taking notes or and in sort of putting it into obsidian or

31:51 And by the way when I say notes then those could be meetings that you're not

31:55 even in they could just be like

31:56 You know tommy met with Vince and they had this meeting and I want to put it in

32:01 here. Yes

32:02 How do you think about that?

32:05 So that's a really good question. So I think you can use these vaults however

32:09 you want to use them in terms of like

32:10 You could put any text you want in here if you want to put your granola meeting

32:14 transcripts in here

32:15 You can put them in here and you have to just make sure you know

32:18 Maybe you're doing something like this, right? So you're just like meetings and

32:21 then you're like, okay

32:22 These are this is you know project one and then every time you do a meeting

32:26 You take your granola notes, and you just put them in here, right? So you're

32:30 like meeting Greg Eisenberg

32:32 then

32:34 plus then and then

32:36 you know

32:37 That follows created now and you can just drop your Trent

32:40 You can just drop your meeting notes in here

32:42 And now that's in the vault and then you can pass that into the agent or the

32:45 agent will discover it, right?

32:46 Especially if you start tagging like oh, I'm gonna tag this back to you know,

32:50 like my podcast or something there now

32:52 It's connected so now the the the agent it has like more context and now it

32:57 knows that Trent this transcript is related to this other file great

33:00 I think that's up to you

33:02 I think the way that you the amount of information that you put in here is up

33:05 to how you want to use the vault and how you want to

33:08 Delegate to things to agents and maybe you even want to create different vaults

33:11 for different purposes for me

33:14 for me, I use LLMs and agents as a way to

33:18 Increase my own level of understanding of subjects

33:21 So I use it for a lot of reflection and things like that

33:23 So I don't want an agent to write into the files

33:27 Like I could easily get it to do that like I could just say like even here

33:31 I've asked it to write a description of some commands that I can talk about

33:35 today

33:35 But I don't I don't I don't want it to make a file to do this because I want to

33:39 control all the files in my obsidian

33:41 Vault because I always wanted to pull from what I think about things

33:45 Right not what it thinks about things and if it starts making its own files in

33:49 this vault

33:50 Then I don't know like is like when it's finding these patterns is it finding

33:54 patterns about things it's written or is it finding patterns about things?

33:57 I've written so I create a rule for myself, which is like a strict separation

34:02 between these things

34:03 I only wanted to write things on the side here and then I will take that and

34:08 and and and write what I think

34:11 Should be included

34:13 Right. Yeah. Yeah, go ahead. No, I was just gonna say like

34:17 You know, I could see the power of just using it for your own reflections

34:24 I can also see the power of

34:27 You know AI is really good at

34:30 you know

34:32 Going out on the internet finding information based on trends and stuff like

34:36 that distilling it in a way that you want and

34:39 Having that being put into your world is also interesting. Yes

34:44 totally, I think that and also like let's say if you asked the obsidian if you

34:51 asked the

34:51 Cloud code to go through your obsidian file and generate ideas

34:55 which

34:58 You know ideas for tools that you should build well, then you can just like say

35:01 okay cool

35:02 If that's if I have an idea for a tool that I should build just generate a

35:05 description of that and then just build the tool

35:08 So exactly

35:10 Yeah, I want to show this one

35:13 So that it's like less on reflection

35:16 Like for example, like, you know, I'm a I built this thing called idea browser.

35:23 com and every single day

35:24 We give this validated startup idea like someone theoretically can go and

35:29 You know grab that information put it in an obsidian vault and then based on

35:35 that

35:36 Basically, you know help them build the actual thing, right? Totally. Yes

35:41 So I want to show you this because I think it'll it'll really make it

35:45 They'll take it out of the realm of reflection and into the realm of building,

35:49 but the only issue is this takes a bit so

35:51 That's okay. Yeah, so the other thing is that with all of these like with these

35:58 commands another pattern that I'm noticing is that they take a bit

36:01 Because it's reading so many files and I would say that's a big difference

36:05 between using obsidian and

36:07 Like are using cloud code with access to this obsidian vault that I'm noticing

36:12 is all of my

36:12 Requests are taking way longer and it's just because it's reading so much more.

36:17 So like look at this one

36:18 So this is ideas demo. So I'll run a comprehensive ideas generation

36:23 Let me start by gathering vault structure and context in parallel and then if

36:27 you look it's really interesting to see what it's doing

36:30 right, so

36:31 It's like obsidian orphans

36:33 Right, so it's it's it's it's like I guess orphans are like files that are on

36:39 their own not connected to things

36:40 Right. So that's interesting that it knows that

36:42 Obsidian dead ends obsidian resolved obsidian tag counts. So it's just trying

36:47 to it's trying to figure out like some connection between all these things

36:50 And then it says okay daily read so it's reading my daily notes

36:55 Then it found this file called new context, which is new is this media company

36:59 I'm working on then

37:00 It's like read file the other stuff context that that's podcast. The other

37:04 thing. I would say to you guys is I do manage

37:07 I write I create context files for projects that are pretty extensive. I'll

37:13 show you I

37:13 Was I didn't know if I was gonna show this because it's very personal but like

37:18 for the other stuff

37:18 Look at this other stuff working context. What shifted recently?

37:23 Front loading profile by traveling, San Francisco, New York City to record

37:27 guests

37:27 This is super personal stuff

37:29 But what is the other stuff the format core beliefs of the show researches the

37:34 foundation solid the best conversations feel like discovery solid

37:38 You know, here's a team that's working on it. And so what happens is this again

37:44 very personal, but this is

37:46 Context that it just pulled in so now it knows who's working on my podcast

37:53 What are the what are the recent hypothesis hypotheses? I'm exploring

37:56 And it just got that information. That's just like one of the things that did

38:01 personal workflow context

38:02 super personal file, but it shows like

38:06 you know, like

38:09 What my daily schedules is like, you know things that I have to do like in my

38:13 personal life

38:13 So it's like pulling that how I like to work how I don't like to work

38:17 personal agent infrastructure

38:20 There's another thing. Let's see what happens if I pull this up

38:24 This is a project in which I want to take a step towards increasing my personal

38:28 infrastructure workflow delegation

38:30 However, you want to describe it with agents understanding what it means

38:32 delegate to agents more and more

38:34 implementation approach

38:36 So this is like what I'm writing about

38:39 The file about how I'm thinking about using agents personally and again, that's

38:44 an example of one of the files

38:46 It's reading. That's just one of them. So you saw like the other stuff the

38:49 personal workflow

38:50 And it's factoring that all in to this task. I've asked it to do which is

38:54 generate ideas for me

38:55 Gathering data from your daily notes calendar and volstructure. This takes a

38:59 moment since it's pulling from multiple sources again one of the

39:03 Things with this is that it's just going through a lot of information man a lot

39:08 of information

39:09 So it takes longer, you know, it's already been going for five minutes

39:13 Right, and so that's that's something I'm noticing, but

39:15 For me, that's what I want. I want that I want I want a response from LLM's

39:22 that is very very contextual

39:24 To the things that I'm writing about and I think a lot and I think that's how

39:28 me and an agent can work best together where I just focus on

39:32 continually

39:34 noting that my could the where I'm currently at in terms of the projects I'm

39:39 working on and what my understanding is and what I find

39:41 Interesting. I want to maintain that and make it as current and as deep as

39:45 possible

39:45 So whenever I'm talking to an agent, it has the best representation at all

39:49 times of who I am in that moment when I ask the agent for something

39:53 Yeah, that's the goal, right

39:55 That's the question that we all should be asking of ourselves, which is yes

40:00 Does the agent have the most up-to-date information on the projects on my

40:04 preferences and my dreams and my hopes and my goals

40:10 Because you're it's only as good as the up-to-date version of that. Correct.

40:15 Yes

40:16 100% the quality the the quality of information that the agent has entirely

40:21 determines what it can do for you

40:23 Right if it doesn't know a lot about you, it's not going to be able to do a lot

40:27 for you

40:27 But if it knows a lot then it can it can it can do things for you that I

40:32 Think like even some of your in some it's kind of weird to say but I mean like

40:36 that you don't even know about yourself in ways

40:40 I mean it makes sense right because

40:42 Ultimately what this is doing

40:44 Like to distill it to its core. It's connecting the dots. Yes city and obsidian

40:50 and Claude code here are connecting the dots

40:53 now

40:54 It's actually quite difficult as a as a business owner or just as a personal in

40:59 our personal lives to connect the dots

41:01 Like why do people in a lot of ways go to?

41:03 You know coaches therapists. Yes

41:06 You know if you go to a therapist and

41:10 You have someone

41:12 Who is you're doing most of the talking, right? Think about it

41:16 You're doing a lot of the reflection and the therapist and coach is sort of

41:19 guiding you

41:20 That that's what this is doing in a lot of ways and I'm not saying by the way

41:24 that don't go to your therapist, you know just

41:27 But I'm but my point is it helps it helps you helps you uncover

41:33 What are their dots and how you can connect them?

41:37 Yeah, absolutely and for me. Yeah, it's just it's just really exciting

41:41 And yeah, it's just it's just a crazy time it with computers

41:46 So let's look at this this thing finished. So this is an idea generation report

41:49 vault relationship exploration. This is this is pretty

41:53 extensive right like

41:56 to get an idea report

41:58 Like I think this is this is really gonna show how we can move you move from

42:04 reflection to something actionable

42:07 so

42:09 Structural highlights. So again, this is just obsidian stuff, right orphans

42:14 worth noting

42:15 There's some defense technology stuff here. Just a theme. That's a growing in

42:19 Canada

42:20 Massive intellectual investment sitting in isolation also orphaned agentic

42:24 software. So orphan just means these are files

42:26 I haven't really linked to random notes. I just wrote once or something

42:29 Unresolved links that reveal latent interests

42:34 Hidden relationships again all reflection stuff fine. What's working obsidian

42:39 cloud code is a combined system is working for me

42:42 This is producing genuine breakthroughs and thinking and output

42:45 Day per domain structure when enforced. This is basically I started

42:49 Splitting my schedule where each day has a specific focus. This is cool

42:54 And this is very true the Greg Eisenberg episode as a forcing function

42:58 It's compressing months of thinking about obsidian and agents into a clear

43:02 thesis with demos very true

43:04 You know coming on the show and doing this forced me to

43:07 Synthesize everything I knew and presented

43:11 But here's where we're going to the actionable stuff tools to build

43:16 The slash graduate slash command daily note idea extractor based on daily notes

43:23 are full of idea

43:24 Sorry daily notes are full of idea tags and interesting thinking that never

43:27 gets developed the vault has nine idea tags

43:30 But hundreds of undiscovered insights build a command that scans recent daily

43:35 notes identifies ideas tagged or not and prompts you to decide

43:39 Create a standalone note add to an existing file or dismiss

43:43 This turns a daily note stream into a structured idea pipeline

43:47 Obsidian vault for new it says I just have to manage and set up a central obs

43:51 idian vault for new

43:52 what that means is in the same way that

43:55 I'm creating this of all vaults and it has all my ideas and my patterns and

43:59 everything like that

44:00 Why would I not create one for my team?

44:02 Where they like as a team we can go and ask this well questions and we can all

44:07 contribute to it

44:09 Here we go tools to start using

44:12 What is this types for all external documents?

44:15 Interesting a time blocking act that enforces date a time blocking app that en

44:21 forces day per domain meaning since I'm trying to focus on one thing each

44:25 Day one aspect of my life. It's saying why not create a time blocking app that

44:30 forces you to do that interesting

44:32 systems to implement

44:35 One sentence an obsidian agent handles arrests. This is literally the demo

44:39 three version of the Greg Eisen per

44:41 Eisenberg prep. You're already imagining it. The next step is to actually

44:45 building it start small right schedule a call with person about topic

44:49 This week in a daily note and have Otis or clogbot or open claw pick it up and

44:53 handle it

44:54 So it's saying maybe you can delegate right from the note itself is how I'm

44:58 interpreting that super interesting

45:00 Yeah, I just in line in line delegation like maybe that's even like a you knew

45:06 ux pattern

45:07 I don't even know right that you could build into like these different tools

45:09 Subjects to investigate

45:14 Christopher Alexander's pattern language applied to digital spaces interesting

45:18 Black Mountain College as a model for the stadium stadium is a physical space.

45:23 We have in Toronto

45:24 Authorless media as a concept

45:26 How Shenzhen's hardware ecosystem actually works things to write and publish

45:32 that be useful

45:33 Context architecture essay the computer as a place software book will become

45:38 fashion

45:39 What Toronto theory actually is?

45:42 editorial thinking zine

45:45 Conversations to have this isn't you these are real people Aaron stadium

45:49 workshop hosts about becoming an anchor of technical programming

45:52 This is a space. We haven't Toronto to ruin a can another person program about

45:57 making program the flagship series

45:59 Steph and go obsidian CEO about the vault as a place

46:01 And so this is like

46:05 Yeah, this is crazy. It's suggesting people I should meet right top five

46:10 High impact do now build the graduate command or do a manual weekly idea review

46:16 ?

46:16 This is crazy, dude. This is actually crazy

46:21 like

46:23 And the fact that it's in plain text and it just not be it's not there's no

46:28 images

46:29 It doesn't make it easy to read but I kind of like it because it's it's like

46:34 dressed down

46:35 You know what I mean? Yeah, I mean I like that aesthetic because I'm a nerd

46:38 But you could just say you know, you could you could just say obviously you

46:41 could just say can you turn this?

46:43 Into a beautiful readable HTML file that is on my desktop. This is hard to read

46:51 And it's gonna do that. Mm-hmm, right? So, I mean if you don't that says if you

46:54 don't like that

46:55 Just do it. However, you want to do it. You know what I mean? I like it like

46:58 this in this kind of like this aesthetic

47:01 But yeah, that's how you can move out of reflection and of course, you know, of

47:06 course

47:06 We can also say like here, you know, if we don't if we don't want to do this

47:10 We could also say like it recommended that slash graduate command. So I could

47:15 just say build the slash graduate command

47:20 Right, which is interesting and is that how you started building a lot of your

47:24 commands?

47:25 Like it it sort of it started suggesting and you're like just go build it

47:29 Well, I started off actually like building them myself like I'm like oh trying

47:34 to think about commands myself

47:35 But then yeah, I said I started asking the agent like well wait a second

47:39 What commands do you think would be interesting and and just and this might be

47:43 useful another thing that I'd like to do is I like to

47:46 Move to like higher levels of abstraction when I'm using an LL LLM

47:51 What I mean by that is I could say like oh make a command that

47:55 Tells me what I should focus on each day and that's that's like a command that

48:02 I thought of

48:03 But when I when I another thing you can do is you can step back and I can say

48:07 Based on my obsidian vault and what you know about me

48:12 Form an understanding of what you think my level of understand like

48:16 Where you think my skill level is in terms of a person and the projects that I

48:21 'm working on and based on that

48:23 Suggest the kinds of commands I should use that would take me from the level of

48:28 mat to a higher level

48:29 Right get like you know get it to suggest the commands for me instead of me

48:35 suggesting the commands and I could pick between them

48:37 So look at this. This is this is it was this was the agent's idea based on what

48:41 it read in my vault

48:42 Based on the notes. I'm taking right so let's see what this is daily note idea

48:46 extractor

48:46 Ideas insights and original thinking accumulate in detail in daily notes

48:51 But rarely graduate into standalone notes working where they can compound

48:55 through backlinks

48:56 This command scans recent daily notes surfaces the best candidates and helps

49:00 decide what to promote into like an idea or something, right?

49:03 Sure

49:05 So this is how it's going to work

49:06 It scans all the recent daily notes. It cross references with the existing

49:10 vault. It presents candidates

49:12 It graduates selected ideas if if creating a new standalone note create the

49:18 note in the vault route

49:19 Write the note as a mini essay or working document that captures the core claim

49:24 or question context from the daily note where it originated

49:27 Connections to other vaults notes as backlinks now

49:31 All this stuff like it captures the core claim or question

49:33 You might be looking at this and think like okay. This is just the text that

49:37 the agent generated and it is

49:39 But also it hits differently for me because I know

49:43 Like I'm writing a lot about these things. I know I know like even like the

49:48 mini essay thing

49:49 These are words that mean specific things to me

49:52 Which is just so it's just so crazy. It's very contextual

49:55 I know what it's talking about because I spend a lot of time in in this tool

49:59 and I spend a lot of time writing

50:00 So yeah, I created and it's going to create that command

50:03 Right and it's like

50:07 That's that's nuts because I'm just going about making notes

50:10 And I have this parallel agent that is looking at my notes

50:13 And giving me ideas on how I can prove my workflow improve my life

50:17 And then and then not only can it just suggest it. It could just build the

50:20 thing

50:20 And it's done

50:22 And then we have it right here slash graduate. I could just hit it

50:25 And it's going to run

50:27 That's crazy

50:29 If if I'm open AI or anthropic, I'm buying obsidian

50:34 Right because it's the missing link

50:40 Yeah, it's nuts. It's the missing link what the fact that there are people

50:43 Like you've sold me on this by the way

50:46 I've downloaded obsidian. I think it's a free tool, right? Yes, it is. It's

50:51 open sourced

50:52 I've downloaded it, but I have not

50:57 created my vault because I wanted

50:59 You've been

51:01 I knew that this was going to be great

51:04 I knew that I would go through this

51:06 This actually exceeded my expectations like this is

51:09 the fact

51:12 like

51:13 It makes no sense

51:15 It makes no sense

51:16 the the fact like that if you are if you are using if you are serious about

51:23 Using LLMs to take your ideas and put in and get the most out of them

51:28 If you're serious about building, you know, what people are calling a personal

51:32 OS

51:32 And you are not using a centralized note-taking tool like this

51:38 Yeah, that uses markdown as the foundation

51:42 Then you are not using LLMs properly. Yeah, or at least not at the limit

51:49 Yeah, yeah, exactly. You're not getting the most out of it. Yeah

51:53 You're not getting the most out of it. So I think what's what's difficult about

51:56 this is that it requires

51:58 it does require a lot of time

52:00 and to actually set it up properly it requires

52:04 like

52:07 Yeah, I mean it takes a lot of time and and and the UI is in and is is so

52:12 daunting in the sense that it's a blank canvas

52:15 And it's not like hey, you should like write your preferences over here or you

52:19 know, you kind of just have to

52:20 you have to

52:24 Come up with these ideas yourselves. Yes

52:26 but

52:29 That's still so amazing, right because I mean even when we work with other

52:33 humans

52:33 We have to find a way to explain things to them and I just think it's so cool

52:37 that

52:38 Now we can work with these agents and we still have to explain things to them

52:42 But we only need to explain them once because once we get it down on into a

52:46 file

52:46 We can always reference that file that explanation of a project or a preference

52:50 or anything and it's always there and you can pass it in

52:53 Yeah, a file is like

52:55 Essentially perfect a perfect memory. Yes, right?

52:58 Human beings have memories like we recall things

53:01 Yes, but there's tons of studies that show that what we remember in fact is

53:06 completely

53:07 different than a reality for example

53:09 When we went and got our that haircut in Mississauga

53:13 I could have thought that I had the best haircut

53:18 You know, that's what my memory remembers. There was a great haircut, but who

53:22 knows it could have been the worst haircut I had ever gone

53:25 Now

53:29 Obsidian or whatever tool you end up using

53:32 Like you know if I had written

53:35 Yes, like the memory the file the markdown file is perfect

53:40 So that when I link that or I recall it it is going to give me a perfect

53:46 uh

53:47 Data data point and the other thing about you know, these files is that you

53:51 hope?

53:52 Well, they're not biased basically. They're as biased as the human being is

53:56 In terms of writing the reflections. Yes at that moment in time. Yes

54:01 It's crazy man and

54:05 Yeah, it's just crazy and there's all there's all of these different aspects to

54:10 it

54:10 There's the privacy of it and what that means

54:14 There's the power of it the fact that now you can just work with these

54:17 computers in natural language and just delegate to them

54:20 Um, there's a fact that there's people like me that are that are using these

54:24 tools and trying to figure out how to delegate stuff to agents in this way

54:27 There's people that are like me that are even more hardcore in different ways

54:31 and and pushing them

54:32 And I just think it's such a crazy time to be alive because I think we are

54:37 potentially

54:38 Watching a fundamental shift in the human relationship to computers

54:44 And it's just I'm just really happy to be alive while this is happening and I'm

54:47 curious like how is this all going to unravel?

54:50 Well, what's what's cool about this is?

54:52 99.99 of people are not going to spend the time

54:59 to actually set up something like this and make it a part of their daily lives

55:05 and

55:05 the

55:07 Alpha so to speak is in terms of leading a more productive

55:12 happier healthier

55:14 better

55:16 More money-making career is in in in using something like this with an llm. I

55:22 think so

55:22 I'm not saying download obsidian today and I have no affiliation or whatever

55:27 with them, but i'm saying like

55:29 Pick a it sounds like what we should all be doing and i'm talking i'm giving

55:34 myself this this advice is like

55:36 There's no excuse anymore for me not to be writing down and reflecting

55:42 Yes into markdown files. Yes in a world that where llms use markdown files is

55:48 the oxygen. Yes

55:50 Like people think tokens are the oxygen. Yes, but they're not

55:55 Yes, the markdown files are the memories like think about what a human being is

56:00 Yes, you know

56:03 Is a human being

56:06 The the energy of a human being or is it the memories of it, you know what we

56:11 were called, you know

56:12 I mean, that's like a philosophical question and maybe it's a bit a bit a bit

56:17 of both, but it's

56:19 you know, I think that

56:22 there's something really really fascinating about md files as

56:27 an underrated about them in order to

56:30 to have a true

56:34 Computer experience and in today's day and age. Yeah, there's definitely

56:38 something going on here

56:39 Some fundamental shift. Yeah, it's awesome

56:42 Yeah, and like I have bad my work, you know, i'm learning in real time, right?

56:46 Like and I I don't have the right vocabulary to even explain this

56:49 Yes

56:50 And now they're too high man. I don't do why i'm trying to i'm trying to figure

56:54 it out in real time

56:55 That's that's why I think like I know I show something and and for me

56:58 I'll do something or I'll see something and my friends are like they kind of

57:02 laugh because i'll just be sitting at my computer

57:04 Just tripping out and I think it's because I really like computers and and I

57:09 cannot believe

57:10 That this is possible. I cannot believe

57:13 That I can just be making notes on my computer like I have been since I was a

57:17 kid

57:18 And then all of a sudden this agent can scan through it and build things

57:23 because of it

57:24 And and like connect patterns that I could never see it's nuts man

57:28 it's nuts and

57:30 And at the root of it, you're right. It's just a collection of interrelated

57:34 markdown files

57:35 Yeah

57:36 Cool man. I appreciate you. I don't know if you can see my mind, but my mind is

57:40 blown right now

57:41 Thank god. Yeah

57:44 I wanted to do right by you. I also just like I say this every time man

57:48 But i'm just gonna keep always saying it to you all the time

57:51 I really really really really appreciate everything that you do

57:54 I think your pattern recognition and your pattern matching is like

57:58 Like really underrated. I think there's a lot of things that you do that I don

58:02 't think it's like difficult to see if you're not really paying attention

58:05 I just want to say like thank you for for everything that you do

58:08 You're always putting on like new voices on your show. I see it. I really

58:12 appreciate it

58:13 And it's just been it's just an honor to know you and yeah, just thanks for the

58:16 opportunity. Thanks for everything man

58:18 I appreciate you vin your legend. I'll include links

58:21 for where to follow

58:24 criminally under followed internet vin

58:26 on on x on his youtube show

58:30 Podcast in the show notes and description. You can go and check him out there

58:36 Uh, people please play with some of these tools

58:41 Uh, and let me know what you think let vin know what you think please and uh

58:48 then

58:49 I will beg you to come back on the show

58:51 And I hope you come back on again for sure man. Thank you. Thank you

forrest

· 6mo

ME News 消息，4 月 18 日（UTC+8），以太坊域名服务提供商Ethereum Name Service（ENS）在X平台发布安全提示，其确认平台出现安全问题，建议用户暂时避免访问eth（dot）limo相关链接，其团队已开始调查影响DNS注册商的安全问题。
ENS补充表示，目前该问题仅影响eth（dot）limo域名解析服务，不涉及eth（dot）link，也不会影响ENS域名服务本身的正常使用。此次提醒出于审慎考虑发布，在相关团队确认问题完全解决前，用户应避免使用eth（dot）limo链接，后续如有进展将及时更新。（来源：PANews）#加密货币 #pickful #比特币 #btc #eth #web3 #区块链

zhhyfhtthtt

· 6mo

🚨 突发新闻：黑石集团在特朗普宣布霍尔木兹海峡开放后全力押注比特币！！他们在10分钟内买入超过4.2亿美元的比特币，而且现在还在继续买入更多。

看起来他们知道牛市已经正式启动了 📷<👀#加密货币 #比特币 #btc

Crypto

· 6mo

Web3还有哪些机会？

Web3 的机会很多啊，多的数都数不过来，我随便说几个。但首先要明确 Web3 并不等于炒币。

你参与Web3的方式有哪些？