Pickful: Your Shared Crypto Community!

话题广场

Love

· 29m

他用40个 #AI 代理取代了整个营销团队 | Relay.app，雅各布·班克

https://www.youtube.com/watch?v=OHJJKrJCSRU&t=416s

中文 English

0:00 我们都应该有数十甚至数百个代理为我们工作。

0:03 所以随着时间的推移，我组建了这支由40个AI营销代理组成的团队来协作。

0:07 我实际上是唯一的营销人员。

0:09 我有一个AI教练，每周一次告诉我，有哪些主题

0:12 是

0:13 真的很有效或者哪些风格对你很有用。

0:15 多做这个，少做那个。

0:16 这就是我在领英上有几篇非常成功的帖子原因。

0:20 例如，有篇帖子是介绍我实际使用的40个营销代理。

0:23 用的。

0:24 那篇帖子目前已有150万次浏览。

0:28 是领英帖子中评论最多的一次，你知道，我一直在领英上

0:31 持续发帖

0:31 一年却毫无结果。

0:33 然后突然我意识到，哇，如果你作为一名初级内容

0:38 营销人员的工作是把YouTube视频写成博客，那么这个工作

0:41 将不复存在。

0:43 一个高质量的营销承包商。

0:46 假设我有四个人，每人每月费用12500美元。

0:49 $50,000每月。

0:51 而我的AI费用每月仅500美元。

0:53 构建AI代理是定义未来30年每个职业的基本技能。

0:58 's

0:58 职业生涯。

0:59 这项技能就像过去40年熟练使用电子表格（如Excel）一样

1:02 是一项必备技能，未来40年，

1:06 构建

1:06 AI代理将成为必备技能。

1:09 我们目前大概只用了1%的AI潜能。

1:13 我想说的是，

1:14 AI被严重低估了。

1:23 我叫Jacob Bank。

1:24 我是Relay.App的创始人兼CEO。

1:27 Relay.App是一个构建AI代理和工作流程的平台，帮你

1:32 代替你

1:33 完成工作。

1:33 我们现在是一个九人团队。

1:35 有五名工程师，两个设计师，一名产品经理，还有我。

1:37 如果没有AI，我们可能需要15人团队才能达到

1:43 现在的工作成果。

1:45 曾几何时，我是AI研究员，后来是创业者，然后是谷歌的长期产品负责人，自2021年起一直在做Relay.App。

1:49 我在过去三年里见证了AI的全面爆发，从非常近的

1:53 视角。

1:57 观点

1:57 。

1:58 我对AI的看法是，它就像个实习生。

2:05 它就是个实习生。

2:06 它完全按你告诉它做的事去做。

2:07 它是实习生。

2:08 这其实是我改变了的观点。

2:10 一年前，我说，嘿，把AI当成你的实习生。

2:13 后来我意识到这个思维模式错了。

2:15 AI确实可以做一类任务，

2:19 那就是节省时间的工作，否则你会交给实习生做。

2:22 实习生。

2:23 但AI也能做一些战略分析、竞争分析和内容创作工作，

2:27 这是实习生绝对做不到的。

2:31 例如，我不擅长销售电话。

2:34 我没有销售背景。

2:35 这对我来说不自然，但事实证明，有些销售电话技巧

2:38 非常有价值。

2:40 所以我有个AI教练，审阅我所有会议的文字记录，然后说，

2:43 你本可以更好地谈这个。

2:44 你本可以更清晰地表达这个价值，或者你太容易，

2:46 太快演示了。

2:48 你应该多问一些探索性问题。

2:50 如果你去聘请销售教练，一个好的销售教练每周一次会议就要1万美元

2:55 每月。

2:56 你可以自己建立一个不错的AI销售教练，稍微训练文字记录，

3:01 运行费用每周大概五美元。

3:05 当我承担一个新的角色或职能，而我没有经验

3:11 或不觉得自己是专家时，

3:11 我如何找到合适的教练关系，给教练我做事的原始数据，

3:15 然后由他以正确频率给我反馈，是每次通话后，

3:20 每天一次总结，还是每周一总结。

3:23 or once a day with a summary or once a week with a summary.

3:26 这就是为什么我现在意识到，把AI看成实习生是多么错误。

3:30 当我还在谷歌时，有个职位叫技术主管经理。

3:37 那是个混合职位，你既要是技术专家，要熟悉代码库全貌，

3:40 能审核技术设计，解决最难的问题，

3:44 也要同时是经理。

3:44 你还要负责协调团队中的其他人。

3:46 这是个非常难的职位。

3:50 技术工作和管理工作同时做很辛苦。

3:51 但我认为这就是未来我们的方向。

3:54 我们都需要成为超级个人贡献者。

3:57 让我解释原因。

4:01 如果你的工作是作为初级内容营销人员，将YouTube视频写成博客文章，

4:01 这份工作将不复存在。

4:07 你不能仅仅靠做单一内容再利用的任务

4:10 来维持工作。

4:15 那样。

4:15 如果你的工作是在大型企业管理一千人团队，

4:19 我不想说这个工作会消失，但我认为这个工作

4:19 会变得越来越不重要，因为企业会

4:23 变得

4:23 更小。

4:25 未来会有更多精简小型的企业。

4:26 所以管理1000人的技能会越来越

4:29 不重要。

4:32 重要。

4:33 每个人都会看起来像我。

4:35 我们大约有三分之二的时间是个人贡献者的工作。

4:39 我在做事情。

4:39 我在制作YouTube视频。

4:41 我在编辑博客文章。

4:42 我在发布内容。

4:43 我在与客户交流。

4:44 然后我一天中有三分之一的时间是在协调帮助我的AI团队。

4:48 完成那些

4:48 任务。这种超级个人贡献者未来最令人兴奋的地方是，

4:54 那是

4:54 我们大多数人喜欢的工作。

4:55 我和很多处于初级职位的人聊过，他们都会说，哦，我真希望

5:00 不是仅仅

5:00 写这篇博客文章，我被告知要写的。

5:02 我更有战略影响力，能决定我们做什么和为什么做。

5:06 我认识的每个人，包括我自己在谷歌时，处于

5:09 完全

5:09 组织管理岗位上，都希望能更接近实际工作。

5:12 我希望能回到产品岗位。

5:14 我希望能更接近客户和用户。

5:16 所以我认为未来每个职位都会结合两者的优点。

5:20 两全其美。

5:20 我们都需要足够有战略眼光和资历来决定什么需

5:25 要

5:25 完成，并且能看清“好”的标准，以便给予正确的

5:28 指导。

5:28 但同时我们也需要足够动手，能自己编辑博客

5:31 文章

5:32 、编辑推文和制作视频。

5:34 这就是职场的未来。

5:40 是的，一次看到40个有点让人吃惊。

5:42 但如果你点击任何一个单独的代理，它们都很简单。

5:47 它们各自都有非常具体的任务。

5:49 每次我们制作新YouTube视频，它会自动创建LinkedIn帖子。

5:52 自动完成。

5:53 每次我们做新YouTube视频，它会自动发推文。

5:57 当竞争对手的CEO在Twitter或LinkedIn发布内容时，

6:00 它每周都会提醒我他们在谈什么。

6:02 它查看我们的竞争对手定价，并告诉我是否

6:05 有任何重要变化。

6:06 所以我一个一个地组建了这支AI代理团队来帮我。

6:10 我尝试过让单个代理同时做25件事，但没成功。

6:14 这是和人类员工的一个区别，当你雇一个社交

6:15 媒体营销人员时，

6:19 你希望他们负责所有社交媒体营销，尤其是

6:19 如果

6:23 你是初学者，就先简单开始，创建一个能做一件事的代理，

6:23 再创建

6:27 第二个代理做第二件事，创建第三个代理做第三件事，

6:27 然后可能让一个代理管理它们，适时调用，

6:30 逐步升级。

6:30 不要一开始就建立40个代理的组织结构图。

6:34 从一个开始。

6:35 有一点非常重要：AI代理不是设置一次就不管的东西。

6:37 你不能只是建一个AI机构，

6:39 然后就想“它会永远帮我工作”。

6:40 我一直在调整我的代理。

6:46 比如，我会和新客户做评估电话，花30

6:48 分钟

6:49 和他们一起发现AI在他们业务中的机会。

6:51 我想，如果客户通话后能收到我发的个性化Google文档，里面有五个具体用例和模板链接，

6:54 那该多酷啊。

6:58 于是我建了一个AI代理帮我做到这点。

6:59 我告诉代理，你的任务是把通话记录整理成

7:02 格式漂亮的Google文档，发给客户。

7:06 做了十次之后，我觉得这格式不对，

7:06 客户没看那个Google文档。

7:09 其实我应该直接发邮件里包含内容。

7:10 于是我解雇了那个代理，告诉它，这个任务

7:11 不需要了。

7:13 我改造了那个代理，让它把总结直接放进跟进邮件里。

7:17 有些功能可能不需要了。

7:20 比如一年前我们很重视SEO，

7:23 后来发现这对我们现在来说不是重点渠道，

7:24 它带来的新用户比例很小，且工作量大。

7:26 所以我们决定不再专注SEO。

7:31 我告诉我的AI SEO代理们，现在可以先停工了。

7:32 我以后再找你们。

7:35 暂时停止工作，就像你告诉SEO机构，“我们暂时不需要SEO”，

7:35 未来再合作。

7:36 很棒的是，这里没有情绪负担，

7:40 没有分歧，

7:43 也没有协调成本。

7:46 我只要一个想法，

7:49 “嘿，代理，你能帮我实现这个想法吗？”

7:51 它们会说，当然可以，

7:54 我们开始吧。

7:56 But for now, you can stop doing what you're doing in the same way that you

7:58 would

7:59 tell an SEO agency, we don't need SEO at the moment right now.

8:02 We'll come work with you again in the future.

8:04 And the really cool thing is there's no emotional baggage.

8:07 There's no disagreements.

8:09 There's no coordination costs.

8:11 I just have an idea.

8:12 Hey, agent, can you help me with this idea?

8:14 And they say, yeah, absolutely.

8:16 Let's do it.

8:16 嗯，所以我不想让我们把它看作是取代人。

8:20 我想把它看作是赋予我超能力。

8:22 我希望我有时间做这些营销活动，因为我喜欢做

8:27 它们。它们对公司非常有价值。

8:28 而现在我可以做到这些了。

8:30 我们都想在工作中做得更多。

8:32 我们都是有抱负的人。

8:33 我们都是充满动力的人。

8:34 我们都希望自己能做得更多。

8:35 而现在我们有了实现它的工具。

8:37 思考风险职业和安全职业的观点如何随时间变化，真是令人着迷。

8:46 在我父母那代，安全的职业是在一家大型

8:49 财富500强公司工作40年。

8:54 你知道，退休时或工作50年后拿到纪念表，而风险职业

8:56 是创办自己的公司或每隔几年跳槽一次

9:00 。

9:01 我认为这一切已经完全颠倒了。

9:05 风险最大的职业是你的技能过于依赖某一家

9:05 特定公司的环境，而该环境可能会随着时间变化。

9:08 最稳健的职业是那些自己创业

9:13 并拥有丰富人生经历的人。

9:16 我给你举个例子。

9:20 我们团队中很多人都是我从谷歌招来的，因为我们曾一起共事。

9:22 谷歌，现在我们一起做这个创业项目。

9:23 如果你问十个人，留下谷歌更安全还是加入创业公司风险更大，

9:26 大多数人会说留在谷歌更安全，加入创业风险更大。

9:29 就未来一年现金报酬来说，确实如此。

9:33 谷歌明年会给你更多现金报酬，远胜大多数创业公司。

9:34 但如果你从职业的长远角度看，

9:38 关键是你建立了多广的人脉？

9:38 你掌握了多少新技能？

9:43 你如何推动自己去获得新体验？

9:46 留在谷歌这样的公司风险远大于加入创业或创办一家新公司。

9:50 面对当下AI助手的狂热，有两种反应方式。

9:52 你可以选择怀疑，

9:55 不相信它，

9:57 把头埋进沙子，

10:02 继续按照过去的方式工作。

10:05 这是一种反应方式。

10:06 另一种是觉得，哇，这是个酷工具，将彻底

10:08 改变工作的方式。

10:09 我想站在如何使用它的前沿。

10:10 请做第二种人。

10:12 这会对你更有利。

10:13 我从不想说，

10:18 你应该承担更多风险。

10:18 我不是这样看待这个问题的。

10:20 不是叫你冒更大风险。

10:23 我看待问题的方式是，你应该优化你的职业发展，

10:24 着眼于个人成长和学习新技能。

10:26 通常实现个人成长和学习新技能的方法是进入

10:28 更新颖、更不确定的环境，

10:30 承担更多责任，而对未来发展不那么确定。

10:32 我不认为那是冒险。

10:33 我认为最冒险的是停滞不前。

10:39 所以对我来说，关键是重新定义风险的含义。

10:41 风险就是停滞不前。

10:46 进步就是学习、成长和不断挑战自己。

10:49 所以我总希望大家优化进步和成长，推动自己。

10:51 我没有任何市场营销背景。

10:54 我非常不擅长营销。

10:57 直到一年前我甚至没有用过任何社交媒体平台。

11:01 我讨厌公开分享自己的事情。

11:02 承担营销工作对我来说非常不舒服。

11:05 但我确实做了。

11:09 当我发现自然社交媒体和LinkedIn营销是我们公司成功的最佳途径时，我感到非常沮丧。

11:09 但我花了一年时间努力学习，变得擅长它。

11:11 现在我喜欢它。

11:12 所以，本来可能觉得投入大量精力做这套前所未试的营销策略风险很大，

11:15 其实不然，这是一种利用不确定性

11:17 在新方向上学习和成长的机会。

11:21 我经常思考我的孩子们将生活的世界有多不同。

11:21 有些科技领域让我感到惊叹：太酷了，

11:26 显然这是更好的未来。

11:29 举个小例子，我们住在旧金山的帕特罗山

11:33 非常靠近Waymo和Zoox的主要测试区。

11:34 Zoox，是亚马逊的自动驾驶汽车部门。

11:38 我带孩子们去上学，

11:40 我两个大女儿坐在后面货运自行车上，

11:44 她们一直说，Waymo，Zoox，Waymo，Zoox。

11:44 对她们来说，看到无人驾驶的汽车非常正常。

11:50 我觉得很酷，因为车顶装满了摄像头和激光设备，

11:53 但对她们来说，汽车无需人类驾驶是理所当然的。

11:56 在自动驾驶汽车领域，我很开心，觉得

11:57 她们俩可能永远都不需要自己开车，

12:01 因为这更安全、更方便，且所有车都是电动的，对环境也更好。

12:01 但在其他领域，我的感受就复杂得多了；比如我不想让她们

12:04 ...

12:07 And so I take my kids to school.

12:09 My two older daughters are sitting behind me on a cargo bike and they're

12:12 saying, Waymo, Zooks, Waymo, Zooks.

12:15 And for them, it is so normal to see a car with nobody driving it.

12:19 I think it's cool because they have all like the cameras and lasers on top, but

12:23 it is so natural to them, the idea that a car can be driven by the human.

12:27 And so in the particular area of self-driving cars, I am so happy that I think

12:32 neither of them will ever need to drive a car by themselves because it'll be so

12:36 much safer and so much more convenient and so much better for the environment

12:39 when all these cars are electric.

12:41 There are other areas where I have more mixed feelings like I don't want them

12:47 to

12:47 只是一直刷YouTube短视频，尽管算法非常非常好。

12:50 优秀的算法。

12:51 我一般从两个方面来看这个问题。

12:54 一是我尽量让他们获得尽可能多的真实世界挑战和经历。

13:00 是的，你还是得学会骑自行车。

13:02 骑车时你会擦破膝盖。

13:04 我总是对我女儿说这句话。

13:05 孩子擦破膝盖是好事，对吧？

13:06 因为如果你擦破膝盖，说明你在尝试新的事物

13:08 并冒险，面对现实世界的后果。

13:12 我教孩子学游泳时还有另一个重要的突破。

13:14 他们吞点水没关系，学游泳时难免会这样。

13:18 学游泳时，吞水是正常的。

13:18 偶尔吞点水没关系，因为学游泳就是这样。

13:21 学游泳就是要经历这些。

13:22 所以我让他们在现实中承担一些风险。

13:25 因为我的孩子还小，我还没考虑过

13:28 像ChatGPT或我们现在说的AI助手这类工具

13:33 会如何影响他们的学习旅程。

13:36 还没想到这些会带来什么影响。

13:37 但因为我在做AI相关工作，所以很关注

13:39 孩子未来的职业会是什么样子。

13:40 这是我目前的看法。

13:43 第一，清晰表达什么重要、什么需要做并指导如何做的能力

13:49 永远重要。

13:54 未来只会更重要，因为我们的工作更多是

13:57 高效指挥AI做事，而不是自己全部完成。

14:02 不是自己亲自做所有事情。

14:03 所以我花很多时间，我真的希望孩子学逻辑和哲学，

14:07 因为我希望他们能清晰表达自己的诉求。

14:10 他们想要什么。

14:11 第二，我希望他们思考自己独特的个性和能力在哪些领域

14:16 可以闪耀，并且是AI无法替代的。

14:21 这就是为什么我录制我们自己的YouTube视频，因为它表达了

14:25 我的个性，

14:25 人们可以建立社会联系。

14:28 这将是未来职场的两大基本技能：

14:30 你多擅长表达自己想要什么并告诉AI，

14:34 又多擅长与他人建立社会联系？

14:38 我认为这些将是未来任何职业的持久技能。

14:41 。

14:42 毫无疑问，美国在人工智能领域领先于中国，

14:48 但美国在技术领导力上的优势我觉得非常狭窄。

14:53 美国声称的技术领导力看起来很有限。

14:53 美国人准备用AI做什么？

14:56 可能是做更多的PPT，更多地互相打官司，

15:00 而中国人更专注制造业。

15:04 所以中国会用AI制造更多iPhone、电动车电池、无人机和军火。

15:09 制造更多的无人机和军火。

15:12 去年，美国造了大约五艘船，中国造了约1500艘。

15:18 我在美国、中国和加拿大生活的时间差不多一样多。

15:24 我在美国、中国和加拿大的时间大致相等。

15:24 现在看来，美国和中国似乎都注定要输，而非赢。

15:30 不是赢。

15:30 这两个国家都犯了大错。

0:00 we should all be having dozens or hundreds of agents working for us.

0:03 So over time I built up this team of 40 AI marketing agents to work with me.

0:07 I'm the only marketing person I really have.

0:09 I have an AI coach that once a week tells me here are the themes that seem to

0:12 be

0:13 really working well or the styles that are working really well for you.

0:15 Do more of this, do less of that.

0:16 That's why I've had a few very successful posts on LinkedIn.

0:20 So for example, the post was here are the 40 marketing agents that I actually

0:23 use.

0:24 And that post so far has 1.5 million impressions.

0:28 And the most comments ever on a LinkedIn post, you know, I've been posting

0:31 consistently

0:31 on LinkedIn for a year with no results.

0:33 And then all of a sudden I was like, whoa, if your job is as a junior content

0:38 marketer to take a YouTube video and write a blog post based on that YouTube

0:41 video, that job won't exist anymore.

0:43 A high quality marketing contractor.

0:46 Let's say I had four people at $12,500 per month each.

0:49 That would be $50,000 a month.

0:51 And my AI bill is $500 a month.

0:53 Building AI agents is the fundamental skill that will define every professional

0:58 's

0:58 career for the next 30 years.

0:59 It's a requirement in the same way that knowing how to use spreadsheets like

1:02 Microsoft Excel was a requirement for the last 40 years, knowing how to build

1:06 AI

1:06 agents is a requirement for the next 40 years.

1:09 We are all using it for probably 1% of what we should be using it for.

1:13 Here's what I'll say.

1:14 AI is way under hyped.

1:23 My name is Jacob Bank.

1:24 I'm the founder and CEO of Relay.App.

1:27 Relay.App is a platform to build AI agents and workflows that get work done on

1:32 your

1:33 behalf.

1:33 So right now we're a nine person team.

1:35 We have five engineers, two designers, a product person and myself.

1:37 If we did not have AI, we would probably need to be a 15 person team to achieve

1:43 the same level of accomplishment that we have now.

1:45 Once upon a time I was an AI researcher, then a startup founder and then a long

1:49 time product lead at Google and I've been working on Relay.App since 2021.

1:53 So I've seen the whole AI boom over the last three years from a very close

1:57 vantage

1:57 point.

1:58 My take on AI is it's like an intern.

2:05 It's just an intern.

2:06 It does exactly what you tell it to do.

2:07 It's the intern.

2:08 This is something I've changed my mind on actually.

2:10 A year ago, I said, Hey, think of an AI as your intern.

2:13 And then I realized that that was the wrong mental model.

2:15 There are certainly a class of tasks that AI can do.

2:19 Those are the time saving kind of tasks that you would give otherwise to an

2:22 intern.

2:23 But AI can also do these strategy analyses and competitive analyses and content

2:27 creation tasks that an intern definitely could not do.

2:31 So for example, I am not good at sales calls.

2:34 I do not have a background in sales.

2:35 It does not come naturally, but it turns out there are some techniques that are

2:38 pretty valuable in sales calls.

2:40 So I have an AI coach that reviews all the transcripts of my meetings and says,

2:43 Oh, you could have talked about this better.

2:44 You could have articulated this value or you were too easy to,

2:46 you're to jump into a demo there.

2:48 You should have asked some more discovery questions.

2:50 If you go on hire a sales coach, a good sales coach is like $10,000 a month

2:55 for one meeting a week.

2:56 You can build a pretty good AI sales coach by yourself and a little bit of,

3:01 you know, transcript training and it'll cost you like five bucks a week to run.

3:05 When there's a new role or function I'm taking on that I don't have experience

3:11 in

3:11 or I don't feel like I'm an expert at, how can I figure out the right coaching

3:15 relationship where I can give my coach the raw data of what I'm doing and then

3:20 have it give feedback to me on the right cadence, whether it's after every call

3:23 or once a day with a summary or once a week with a summary.

3:26 That's why I'm now realizing that thinking about AI as an intern was so wrong.

3:30 So back when I was at Google, there was a role called tech lead manager.

3:37 And that was a hybrid role where you were both supposed to be the technical

3:40 expert who knew the entire code base and could review technical designs and

3:44 solve

3:44 the hardest problems, but you were also a manager.

3:46 You were also responsible for coordinating the other people on the team.

3:50 And it's a very hard role.

3:51 It's hard to do both technical work and management work at the same time.

3:54 But I think that's what the future holds for all of us.

3:57 We all need to become super ICs.

4:01 Let me explain why.

4:01 If your job is as a junior content marketer to take a YouTube video and write a

4:07 blog post based on that YouTube video, that job won't exist anymore.

4:10 You cannot build the job just doing single individual content repurposing tasks

4:15 like

4:15 that. If your job is to work at a large corporation and manage a team of a

4:19 thousand

4:19 people, I don't want to say that job is going to go away, but I think that job

4:23 is

4:23 going to become less and less important because companies are going to be

4:25 smaller.

4:26 We're going to have many more leaner, smaller companies.

4:29 So that skill set of managing 1000 people, that's going to be less and less

4:32 important.

4:33 Everyone is going to look like me.

4:35 We're about two thirds of your day is individual contributor work.

4:39 I'm doing stuff.

4:39 I'm making YouTube videos.

4:41 I'm editing blog posts.

4:42 I'm publishing content.

4:43 I'm talking to customers.

4:44 And then one third of my day is coordinating my team of AI agents that helps me

4:48 with those

4:48 things. The thing that's so exciting about this super IC future is that that's

4:54 the

4:54 work most of us love.

4:55 Most people that I talk to who are in very junior roles are like, Oh, I wish

5:00 instead of

5:00 just writing this blog post, I was told to write.

5:02 I had a bit more strategic influence on what we were doing and why.

5:06 And everyone I know, including myself when I was at Google, who was in a

5:09 complete

5:09 organizational management role was, I wish I could be closer to the work.

5:12 I wish I could get back into product.

5:14 I wish I could be closer to the customer and the user.

5:16 And so now I think every role in the future will combine the best of both

5:20 worlds.

5:20 We will all need to be strategic enough and senior enough to decide what needs

5:25 to be

5:25 done and to be able to see what good looks like so we can give the right

5:28 coaching.

5:28 But and we need to be still hands on enough that we can actually edit the blog

5:31 post

5:32 and edit the tweet and make the video ourselves.

5:34 That's the future of the workplace.

5:40 Yes, it's a bit overwhelming to see 40 of them all at once.

5:42 But if you click into any individual agent, they're very simple.

5:47 And they all have very specific jobs.

5:49 One, every time we create a new YouTube video, it creates a LinkedIn post

5:52 automatically.

5:53 Every time we create a new YouTube video, it creates a tweet automatically.

5:57 Every time the CEO of one of our competitors posts on Twitter or LinkedIn,

6:00 it lets me know what they're talking about every week.

6:02 It goes, it looks at our competitor pricing and it lets me know if anything

6:05 important has changed.

6:06 So one by one, I built up this team of AI agents to help me.

6:10 I have not had good luck with trying to build a single agent to try to do 25

6:14 things at once.

6:15 That is one difference, maybe with human employees, where when you hire a

6:19 social

6:19 media marketer, you want them to own all of social media marketing, especially

6:23 if

6:23 you're a beginner, start simple, create one agent that can do one thing, create

6:27 a

6:27 second agent that can do a second thing, create a third agent that can do a

6:30 third

6:30 thing, and then maybe have one agent that sits above them and helps invoke them

6:34 when

6:35 necessary, and then build up over time.

6:37 Do not start with a 40 agent org chart.

6:39 Start with one.

6:40 One very important thing to keep in mind is that AI agents are not a

6:46 set it and forget it kind of thing.

6:48 You can't just build an AI agency.

6:49 Oh, this thing is just going to work for me forever.

6:51 I'm constantly modifying my agents.

6:54 For example, I do assessment calls with new customers where I'll spend 30

6:58 minutes

6:59 with them and we'll identify opportunities for AI in their business.

7:02 And I thought, wouldn't it be cool if they got a personalized Google Doc from

7:06 me

7:06 after the call with what we had talked about with five specific use cases and

7:09 links to templates.

7:10 And I thought this was so cool.

7:11 So I built an AI agent to help me with it.

7:13 I said, AI agent, your job is to take this transcript of the meeting and turn

7:17 into a really nicely formatted Google Doc to send to the customer.

7:20 And after doing that 10 times, I was like, this is not the right format.

7:23 The customers aren't reading the Google Doc.

7:24 I should have just included in the email.

7:26 So I, I fired that agent and I said, uh, we don't actually need that job to be

7:31 done anymore.

7:32 I actually repurposed that agent and said, can you just take that summary and

7:35 put

7:35 it directly into the follow up?

7:36 Sometimes you just don't need that function to be done anymore.

7:40 Like we were very focused on SEO a year ago.

7:43 And then we realized that it's just not the important channel for us right now.

7:46 It's such a small percentage of our new users and it's relatively high effort.

7:49 So we're not going to focus on SEO anymore.

7:51 So I told my AI SEO agents, you guys can stop for now.

7:54 Like, I'll come back to you in the future.

7:56 But for now, you can stop doing what you're doing in the same way that you

7:58 would

7:59 tell an SEO agency, we don't need SEO at the moment right now.

8:02 We'll come work with you again in the future.

8:04 And the really cool thing is there's no emotional baggage.

8:07 There's no disagreements.

8:09 There's no coordination costs.

8:11 I just have an idea.

8:12 Hey, agent, can you help me with this idea?

8:14 And they say, yeah, absolutely.

8:16 Let's do it.

8:16 Um, and so I don't want us to think about it as replacing people.

8:20 I wanted to think about it as giving me superpowers.

8:22 I wish I had the time to do all these marketing activities because I love doing

8:27 them. They're very valuable to the company.

8:28 And now I can do that.

8:30 We all want to do more at our jobs.

8:32 We're all ambitious people.

8:33 We're all motivated people.

8:34 We all wish we could do more.

8:35 And now we have the tools to do so.

8:37 It's fascinating to think about how perspectives on what a risky career is

8:46 versus what a safe career is have changed over the years.

8:49 In my parents' generation, a safe career was working at one large

8:54 Fortune 500 company for 40 years.

8:56 You know, getting your watch when you retire or after 50 years and a risky

9:00 career

9:01 was starting your own company or moving between companies every couple of years

9:05 .

9:05 I think that has completely flipped.

9:08 The riskiest career is if your skills are too tied to the environment of one

9:13 particular company that could change over time.

9:16 And the most robust careers are people who are starting their own companies

9:20 and who are having lots of different life experience.

9:22 I'll give you an example.

9:23 Much of our team, I've recruited from Google because we all work together.

9:26 Google and now we're working on this startup.

9:29 And if you ask 10 people, what's riskier, staying at Google or joining a

9:33 startup,

9:34 most of them will say it's safer to stay at Google and it's riskier to join a

9:38 startup.

9:38 And in terms of your cash compensation for the next year, yeah, that's true.

9:43 Like Google is going to pay you more in cash for the next year than most hours

9:46 will. But if you think they're the long term lens of your career,

9:50 where it's about how broad of a network have you built?

9:52 How many new skills have you built?

9:55 How have you pushed yourself to develop new experiences?

9:57 It is way riskier to stay at a company like Google than it is to join a startup

10:02 or start a startup. There's two ways you can react to the current AI agent cra

10:05 ze.

10:06 You can say, I'm skeptical.

10:08 I don't believe it.

10:09 I'm going to put my head in the sand.

10:10 I'm going to keep working the way I've always worked.

10:12 That's one way to react.

10:13 The second way to react is like, whoa, this is a cool tool that's going to

10:18 completely

10:18 change the way that work is done.

10:20 And I want to be on the cutting edge of how I'm using it.

10:23 Please be person number two.

10:24 That's going to serve you much better.

10:26 I never want to communicate.

10:28 You should take more risk.

10:30 That's not the way I frame the discussion.

10:32 It's not you should take more risk.

10:33 The way I frame the discussion is you should optimize your career for personal

10:39 growth and learning new skills.

10:41 And often the way to create personal growth and learn new skills is to go into

10:46 newer and more in certain environments where you'll have more responsibility

10:49 and you're less sure of what's going to happen.

10:51 And I don't think that's risky.

10:54 I think the riskiest thing you can do is to stagnate.

10:57 And so for me, it's all about reframing the conversation about what risk is.

11:01 Risk is stagnation.

11:02 Progress means learning and growing and pushing yourself.

11:05 And so I always want people to optimize for progress and growth and push

11:09 yourself.

11:09 I have no marketing background.

11:11 I am terrible at marketing.

11:12 I was not even on any social media platforms until a year ago.

11:15 I hate sharing stuff about myself in public.

11:17 It was deeply uncomfortable for me to be the person responsible for marketing.

11:21 I really did that.

11:21 It was tragic for me when I realized that organic social media and marketing on

11:26 LinkedIn was the best channel for us to succeed as a company.

11:29 But I worked really hard at it for a year to learn to get good at it.

11:33 And now I love it.

11:34 And so it could have felt, oh, it's so risky to put so much effort in this

11:38 marketing strategy that we haven't tried.

11:40 No, it's an opportunity to take advantage of uncertainty, to learn and grow in

11:44 a

11:44 in a new direction.

11:50 And I think often about how different the world my kids are going to live in.

11:53 There are certain areas of technology where I'm just like, wow, that's so cool.

11:56 That's obviously better.

11:57 I'll give you one small example where we live on Patero Hill in San Francisco

12:01 is

12:01 very close to the main testing area for Waymo and Zooks.

12:04 Zooks is, I think it's Amazon self-driving car division.

12:07 And so I take my kids to school.

12:09 My two older daughters are sitting behind me on a cargo bike and they're

12:12 saying, Waymo, Zooks, Waymo, Zooks.

12:15 And for them, it is so normal to see a car with nobody driving it.

12:19 I think it's cool because they have all like the cameras and lasers on top, but

12:23 it is so natural to them, the idea that a car can be driven by the human.

12:27 And so in the particular area of self-driving cars, I am so happy that I think

12:32 neither of them will ever need to drive a car by themselves because it'll be so

12:36 much safer and so much more convenient and so much better for the environment

12:39 when all these cars are electric.

12:41 There are other areas where I have more mixed feelings like I don't want them

12:47 to

12:47 be just scrolling YouTube shorts all the time, even though there's a very, very

12:50 good algorithm.

12:51 The general way I think about it is maybe twofold.

12:54 One is I try to give them as many real world challenges and experience as

13:00 possible. Yeah, you still got to learn how to ride a bike.

13:02 You're going to skin your knees when you're riding your bike.

13:04 This is what I always say to my daughter.

13:05 Skin knees are good for kids, right?

13:06 Because if you're, if you're skinning your knees, it means you're trying

13:08 something and taking risk in the real world and dealing with the consequences.

13:12 This is another big breakthrough when I was teaching my kids to swim.

13:14 It's okay if they swallow some water, that's going to happen when you're

13:18 learning how to swim.

13:18 Like it's okay if you swallow water from time to time because that's what it

13:21 takes to learn how to swim.

13:22 So I'm trying to have them take, you know, some risk in the real world.

13:25 The thing that I haven't thought about yet, because my kids are too young,

13:28 I don't know how tools like catch a BT or AI agents like we're talking about

13:33 now, I haven't yet thought about how those are going to influence their

13:36 educational journey.

13:37 But because I'm working on AI, just I do think a lot about what my kids

13:39 careers are going to look like.

13:40 And here's my current perspective on that.

13:43 Number one, the ability to clearly articulate what is important, what needs

13:49 to be done and give guidance on how to do it, that will always be important.

13:54 That will only be more important in the future because our jobs will be more

13:57 of how do we efficiently instruct AI on what it needs to do rather than how do

14:02 we do it all ourselves.

14:03 So I'm spending a lot of time, like I really want my kids to learn logic and

14:07 philosophy because I really want them to be able to very clearly articulate

14:10 what they want.

14:11 And then number two, I want them to think about areas where very unique

14:16 personality and abilities can shine through in a way that AI wouldn't.

14:21 And so that's why I record our own YouTube videos, because it's an expression

14:25 of

14:25 my personality and people build a social connection.

14:28 Those are going to be the two fundamental skills for the future of the

14:30 workplace, how good are you at articulating what you want and telling

14:34 that to AI, and then how good are you building social connection with others?

14:38 And those, I think, are going to be durable skills for the future of any career

14:41 .

14:42 There's no doubt that the US is ahead of China on artificial intelligence, but

14:48 the claim to technological leadership for the United States appears to me to be

14:53 pretty narrow.

14:53 What are Americans going to be using AI for?

14:56 Well, to make a lot more power points, perhaps, and to file a lot more lawsuits

15:00 against each other, yes, the Chinese are much more manufacturing focused.

15:04 So China is going to use AI to make more iPhones, make more electric vehicle

15:09 batteries, make more drones, and make more munitions.

15:12 Last year, the United States built around five ships, China built about 1,500

15:18 ships. I've spent about equal parts of my life between the US, China, and

15:24 Canada.

15:24 Right now, it looks like the US and China are both very intent on losing, not

15:30 on

15:30 winning. Both these countries making very big mistakes.

松柏辰光

· 1h

【金色晨讯 | 3月26日隔夜重要动态一览】21:00-7:00关键词：Strategy、Ondo Finance、CLARITY法案、伊朗
1.美国众议院将举行证券代币化听证会；
2.伊朗表示将在自行选择的时机结束战争；
3.Strategy 公司将推出专属比特币安全计划；
4.伊朗开出停火五大条件称“先接受条件再谈判”；
5.富兰克林邓普顿与Ondo Finance推出全天候可交易ETF；
6.特朗普拟任命扎克伯格、黄仁勋和埃里森加入科技顾问委员会；
7.Bitwise：《CLARITY法案》最新草案让Circle大跌20％ Circle未来市值审视。原文链接：https://www.jinse.com.cn/lives/505738.html

悠然409216

· 1h

澳大利亚储备银行（RBA）表示，资产与货币代币化每年预计可为澳大利亚经济带来约 240 亿澳元（约 167 亿美元）效率收益，并已将关注重点从 “是否推进” 转向 “如何实施”。
助理行长 Brad Jones 在 Project Acacia 报告中指出，稳定币与银行存款代币将在代币化体系中发挥互补作用，其中稳定币适用于规模较小的新兴市场，银行存款代币则在大型市场中占据更重要地位。项目共测试政府债券、公司债券、回购及投资基金等 20 个用例，采用批发型 CBDC、交易结算账户余额、稳定币及存款代币四种结算方式。RBA 同时披露，将推出数字金融市场基础设施沙盒、成立监管与行业代币化咨询小组并扩大存款代币工作组，以应对法律监管不确定性、网络效应及协调不足等问题，并指出批发型 CBDC“可能有帮助但非必要”。

田田春子

· 1h

当下全球格局动荡、行业起伏，我们以逆风翻盘，向阳生长为信念。2026年，Web3.0告别浮躁走向合规落地，元宇宙与实体深度融合，数字资产趋于稳健。以技术为帆、合规为舵，在变局中坚守长期主义，借数字新风破局向上，于浪潮里笃定前行，向阳而生。

Moon

· 1h

“@solana今年已在链上处理了来自代理的1500万笔交易”——@vibhu，@SolanaFndn首席产品官，在@Blockworks数字资产峰会上表示。

https://x.com/Grayscale/status/2036868972294136084?s=20

Moon

· 1h

与 @HyperliquidX 共同实现现实世界资产的链上交易。

“我们曾预言，总有一天现实世界资产将在链上交易——如今，这一愿景正在成为现实。现实世界资产正全天候进行交易。我们认为，在未来几年内，所有资产都将实现链上交易。”

$HYPE 今日亮相 @Blockworks 数字资产峰会。

https://x.com/Grayscale/status/2037196355781943330?s=20

Moon

· 1h

美国证券交易委员会（SEC）主席保罗·阿特金斯：🇺🇸“两年内，美国所有市场都将实现链上化。”

https://x.com/TrendingBitcoin/status/2036822413124714911?s=20

中文 English

0:00 代币化是利用链上智能合约或代币来

0:08 表示，例如，基础证券的想法。

0:12 所以代币化的证券仍然是证券，依法需遵守美国证券交易委员会（SEC）的规定。

0:18 法律如此规定。

0:19 但核心思想是，如果它是在区块链上的话，那么

0:24 其所在位置会更具透明度。

0:27 现在有一定的能力可以知道谁拥有什么，而公司

0:31 通常甚至不知道其股东在哪里

0:37 以及股东的居住地。

0:41 所以代币化的优势是，有可能不再是T+1，而是交易

0:49 日加一日的清算与结算。

0:54 甚至有可能现在是T0，具体取决于工具，我们还需考虑

1:00 净额结算以及其他相关因素，

1:04 针对某些工具而言。

1:06 但原则上，链上交付对价和收款

1:12 （DVP，RVP）在链上的实现

1:16 有望降低市场风险，使市场更加透明，

1:21 从而简化清算与结算过程。

1:25 因为清算与结算之间的差距，以及

1:32 交付与付款之间的差距，实际上才是系统风险的来源。

1:39 你觉得金融服务领域未来会走向何方？现今主要的

1:49 银行和券商是否正日益走向代币化？

1:49 绝对是。未来世界将会如此，你知道，

1:56 我说的可能不需要十年，甚至可能更短，可能几年内，

2:01 甚至更快。

2:02 所以我认为市场的所有这些现代化变化都是好的。

2:08 过去几年我们看到的问题是，SEC，和历史上不同，

2:14 它并非一直走在创新的前沿。

2:20 它总是稍微落后于市场，

2:22 当然如此。

2:25 但最近它几乎是在阻碍市场发展，因为

2:30 所有这些新创新正不断涌现。

2:36 但现在不一样了，我们正在积极拥抱这些创新。

2:40 我相信为了让美国在加密货币等领域保持领先，

2:45 我们必须拥抱它们。

2:47 近年来，全球只有两个国家

2:51 在努力使加密货币非法化，

2:55 那就是共产主义中国和通过SEC的美国。现在情况已变。

3:00 这是新时代的开始。

3:02 所以我们要拥抱这项新技术。

0:00 Tokenization is the idea of using the smart contracts or tokens on-chain to be

0:08 able to represent, say, underlying security.

0:12 So then that tokenized security is a security and would be subject to SEC rules

0:18 by law.

0:19 But the idea is that if it's on-chain, on a blockchain, then there's much more

0:24 transparency as to where it is.

0:27 Now there's a bit of a capacity as to who owns what and where the company

0:31 usually doesn't even know where its shareholders are

0:37 and where the shareholders reside.

0:41 So tokenization has the benefit of potentially having instead of T+1 now, trade

0:49 date, plus one for clearance and settlement.

0:54 The prospect of maybe T0 now, depending on the instrument and we have to think

1:00 about netting and all sorts of other things

1:04 with respect to some instruments.

1:06 But in principle, the idea of on-chain delivery versus payment and receipt

1:12 versus payment, DVP, RVP, on-chain

1:16 is a prospect of de-risking the markets, making them much more transparent and

1:21 then sure as far as clearance and settlement.

1:25 Because it's always that the gap between clearance and settlement and then

1:32 delivery and payment is the real introduces risk into the system.

1:39 What do you expect this is where financial services is going? Are the major

1:49 banks and the brokers out there today moving increasingly toward tokenization?

1:49 Oh, absolutely. And it's the way the world will be, you know, here in that, I

1:56 mean, maybe not even ten years, maybe even a lot less time, maybe a couple

2:01 years from now.

2:02 So I think that all of this modernization of the markets, I think, is good.

2:08 And the trouble that we've seen here over the past few years is that, you know,

2:14 the SEC, unlike historically, it never was necessarily at the vanguard of

2:20 pushing new innovations.

2:22 It was always, you know, a little bit behind the market, of course.

2:25 But here recently it's been almost standing a thwart the marketplace and as it

2:30 's, you know, as all these new innovations were coming about.

2:36 So that's no more. We're actually embracing it. And I believe that we need to

2:40 be embracing it to keep the United States at the forefront as far as

2:45 cryptocurrencies and whatnot.

2:47 There were only only two countries in the world here in the last few years that

2:51 were working to make cryptocurrencies illegal.

2:55 And that was Communist China and the U.S. through the SEC. So that's changed.

3:00 It's a new day now.

3:02 And so we want to embrace this new technology.

明月焱焱

· 2h

Copystrong

· 2h

NYSE 拟将区块链融入现有市场基础设施，而非替代传统系统

2026-03-27 00:23:40

ChainCatcher 消息，据 CoinDesk 报道，纽约证券交易所（NYSE）首席产品官 Jon Herrick 在纽约数字资产峰会上表示，NYSE 正致力于将区块链技术整合至现有市场基础设施，而非取代传统系统。Herrick 强调，交易所追求"互操作性"，探索代币化资产在现有系统中的应用场景，包括实时或接近实时结算、延长交易时间等。

他同时指出，集中清算等现有机制仍具不可替代的风险管理价值，需予以保留。Herrick 预测，未来十年内传统资产与代币化资产之间的界限或将逐渐消失。此外，NYSE 母公司洲际交易所（ICE）已于本月早些时候对加密交易所 OKX 进行战略投资，双方将在加密期货及代币化股票领域展开合作。

观海听涛

· 3h

【名人言论】伯恩斯坦表示:尽管早期采用量仍然有限，但稳定币有望随着时间的推移从人工智能驱动的支付兴起中获益。

贝莱德公司首席执行官拉里·芬克表示:我们认为，代币化今天所处的位置，大约相当于 1996 年的互联网；它不会一夜之间取代现有金融系统，而是一座从河两岸同时向中间建造的桥梁。

加载中...