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我认为很明显,现在一切都正在发生变化。
I think it's obvious that everything is changing right now.
商业、互联网、社交媒体、编程、艺术。
Business, the internet, social media, coding, art.
感觉去年还管用的方法,现在就不灵了。
It feels like what worked just last year doesn't work anymore.
既然我们今天要讨论的是个人创业或整体的在线业务,因为这适用于一切,我并不是来给你一些陈词滥调的建议的。
And since we're here to talk about the one person business or just online business as a whole because it applies to everything, I'm not here to give you just some recycled advice.
对吧?
Right?
现在是2026年。
It's 2026.
我们正步入2026年。
We're going into 2026.
每个人都在制作关于‘2026年最适合启动的商业模式’的视频。
Everyone's creating the the best business model to start in 2026 videos.
我也在乎点击量。
I am too for the views.
但大多数这些视频说的还是和2025年一样的内容。
But with most of those videos, they're just saying the same thing they did in 2025.
去年和前年这么说还行,因为那时候变化不大。
And that was okay when they were saying it last year and the year before because not much changed.
所以我不会告诉你去创办一家机构。
So I'm not gonna tell you to start an agency.
我不会告诉你去搞自由职业。
I'm not gonna tell you to start freelancing.
我甚至不会告诉你去开发信息产品。
I'm not gonna tell you to even build an info product.
我甚至不会告诉你去搞辅导或咨询,或者任何曾经流行的商业模式,比如建立社群之类的。
I'm not even going to tell you to start coaching or consulting or whatever the popular business model was, like starting a community or anything.
我以前已经多次谈论过这些内容了。
And I've already talked about those plenty of times in the past.
直接去看看我频道里的‘一人企业’播放列表吧。
Just go look at the one person business playlist on my channel.
但我想向你展示的是,我认为在未来两到三年内最合适的商业模式。
But instead, I want to show you the business model that I think makes sense right now for the next two to three years.
也许吧。
Maybe.
我拍这个视频的原因是,我不断在网上看到,因为大家也想获取流量,所以有人说价值型内容已经死了,信息产品已经死了,教练服务也已经死了。
And the reason I'm making this video is because I keep seeing online because they're trying to get views too that value based content is dead or info products are dead or coaching is dead.
这导致人们觉得,作为创作者根本没必要开始尝试。
And what that's doing is it's making people feel like they just shouldn't start as a creator.
他们应该干脆放弃,连试都不用试,因为他们不知道该做什么。
They should just give up and not even try because they don't know what to do.
但当一个新的范式开始出现时,这种情况是很正常的,因为这个新范式还没被完全理清。
But that's just kind of how things go when a new paradigm starts to emerge, because it's not like that paradigm is figured out yet.
它还不清晰。
It's it's not clear.
没有人能直接告诉你该做什么。
Nobody can just tell you what to do.
你得尝试新事物,不断实验,直到创造出属于自己的东西。
You kind of have to try new things and experiment until you create the new thing.
所以让我们谈谈一人企业的变化,然后讨论教育的未来,特别是教育类产品,以及你如何真正利用这一点——你今天可以具体开始做什么、学什么。
So let's talk about how the one person business is changing, and then let's talk about the future of education and specifically education products, and then how you can actually take advantage of this, like what you can literally start doing and learning today.
第一部分,一人企业模式正在演变,因为过去几十年里,信息产品和辅导一直占据主导地位。
So part one, the one person business model is evolving because for the past few decades, info products and coaching just reign supreme.
那就是你所做的。
That's what you did.
如果你想成为一名创作者,又不想依赖赞助和广告收入,你就会制作信息产品或提供辅导服务。
If you wanted to be a creator and you didn't want to rely on sponsorships and ad revenue, you would build an info product or you would do coaching.
我认为这些方式很棒,因为有了互联网,作为一个人,这些几乎是你的唯一选择。
And I think those were great things because with the internet, as one person, those were kind of your only options.
这就是作为单独的一个人——这里的关键是,一个人,而不是一个团队——你如何在线上启动一家完整的业务。
That's how, as one singular person, that is the caveat here, one singular person, not a team, you could start an entire business online.
这太疯狂了。
That's crazy.
这太不可思议了。
That's insane.
一个普通人可以独自承担营销、内容、销售、产品,甚至人力资源部门的职责。
One single person could be their own marketing, content, sales, product, and even I guess HR department.
你可以通过撰写内容来吸引流量,而无需在特定地理位置拥有实体业务。
You write content to get traffic without needing a physical business in the right location.
你可以让自己的生活变得有趣,或者深入学习某项热情所在,直到成为某种程度的专家,然后以教育或娱乐的方式与他人分享。
You do something interesting with your life or learn one of your passions enough until you become somewhat of an expert, and then you share that thing with others in an educational or entertaining way.
你的品牌就是你自己。
Your brand is you.
你的内容是你思想的碎片,你的产品是你生活中解决问题并带来更好结果的流程。
Your content are little pieces of your mind, and your products are processes that solve the problem in your life and led to something better.
很多人把这件事想得太复杂了。
Many people over complicate that.
我经常举的一个例子是,如果你热爱效率提升,这曾经是你的一个热情所在。
One example that I would always give is if you love productivity, that was one of your passions.
你研究效率提升,然后开始在网上谈论效率提升。
You study productivity, then you start talking about productivity online.
你会不断迭代,因为你的内容一开始并不会很好。
You iterate because your content isn't going to be good at first.
所以你会不断改进,直到它变得优秀,开始增长,然后用这些流量来推动一个产品。
So you improve it until it gets good and you start growing and then you use that traffic to feed into a product.
你会为产品构建什么?
What do you build for a product?
我不知道。
I don't know.
你会买什么?
What do you buy?
你买过什么帮助你提升效率的东西?
What did you buy that helped you with productivity?
是计划本吗?
Was it a planner?
在这种情况下,你会去亚马逊,订购前五名计划本,拆解它们,使用它们,分析它们,了解自己对计划本的喜好,然后自己制作一个。
In that case, you go to Amazon, you order the top five planners, you break them down, you use them, you deconstruct them, you understand what you do and don't like about the planners, and then you create your own.
它甚至不必是实体产品。
It doesn't even have to be a physical product.
你可以创建一个Notion模板,或者可打印的计划本,或者课程加上这些内容。
You can create a notion template or even a printable planner or a course plus those things.
这完全由你决定。
It's really up to you.
要实现年收入五万、十万、五十万美元,其实就靠这两个杠杆,对吧?
And in order to make 50,000, 100,000, $500,000 a year, it's really just those two levers, right?
你撰写内容,获取流量,根据你获得的流量多少以及产品本身的质量,决定你能赚多少钱。
You write content, you get traffic, and depending on the amount of traffic you get and how good your product actually is, that results in the amount of money that you make.
而这里美妙的地方在于,你的价值不由雇主决定。
And the beautiful thing there is that your value isn't determined by an employer.
你的价值几乎不受限制,取决于你触达了多少人。
Your value is practically uncapped depending on how many people you reach.
因此,这会迅速迫使你摆脱雇佣心态,因为作为一个人,你就能赚到更多钱。
So this quickly forces you to kind of remove the employment mindset from your mind because you can make so much more just as one person.
这里的关键是,这种模式永远不会消失,但你所使用的载体将持续变化。
The thing here is that this is never going to go away, but the vessel by which you do it will continue to change.
所以,你可能不再需要打印出一个计划本。
So it may not be a planner that you print out anymore.
现在,我品牌和这些视频的全部目标,就是帮助你变得面向未来而不被淘汰。
Now, my entire goal with my brand and these videos is to help you become future proof.
这是我的热情之一。
That's one of my passions.
这就是我喜欢用来教育和娱乐的内容。
That's what I like educating and entertaining around.
对我来说,变得面向未来而不被淘汰,建立在两个支柱之上。
And becoming future proof to me is built around two pillars.
第一个是:你如何弄清楚自己在生活中想要什么,这涉及心理学、哲学和个人成长。
The first is how do you figure out what you want in life, which incorporates psychology, philosophy, and personal development.
第二个是:在当今世界,你如何实现这些目标,达成你想要的生活。
And then number two is how do you succeed with that in today's world to reach that, to what you want in life.
而这涉及技能获取、商业、技术,以及现在的AI。
And that involves skill acquisition, business, technology, and now AI.
过去,在互联网上,如何在当今世界取得成功——尤其是作为一个人——主要依靠建立个人品牌,以及创建信息产品或辅导服务。
So previously, on the internet, the second part of that, how do you succeed in today's world, especially as one person, that was largely handled by having a personal brand and creating an information product or coaching.
信息产品、产品和辅导,本质上是同一类东西。
Information and product and coaching, they're kind of the same thing.
其中一个是一对一的。
Just one is one on one.
另一个是大规模的。
The other is mass scale.
这个信息产品可以从简单的电子书(第一级)、课程(第二级)、学习小组(第三级),发展到社群(第四级)。
And that info product could evolve from a simple ebook, level one, a course, level two, a cohort, level three, and a community, level four.
但如今,由于价值导向的内容和信息产品已经失效,我认为这里背后有更深层的原因。
But now since value based content and info products are dead, I think there's something a bit deeper at play here.
你仍然会追随自己的好奇心和兴趣,并与他人分享,但实现这一目标的载体已不再是静态的PDF、课程或社群。
You still pursue your curiosities and interests and share it with other people, but the vessel for doing that is no longer static PDF, a course or a community.
现在,我们继续进入你真正关心的话题,我想说得非常清楚。
Now, we continue into the things you're actually here for, I want to make something very clear.
我并不属于那种认为所有信息产品都是骗局的愤世嫉俗的一派。
I am not on the jaded side that just thinks all info products are a scam.
我认为它们在很多方面都能改变人生。
I think they are life changing in many ways.
是的,当然。
Yes, sure.
当然,有些确实是骗局。
Some are scams, obviously.
我认为它们是传统教育负面方面的解药,我。
I think they are the antidote to the negative aspects of traditional education, I.
E.
E.
顺从和被培训去从事一份你讨厌的工作,看不到其他选择。
Conformity and getting trained into a job that you hate and not seeing any other option.
默认路径。
The default path.
我不认为信息产品会永远消失。
I do not think that info products are going away for good.
我不认为它们已经死了。
I do not think that they are dead.
我在这段视频中所说的内容并不适用于每一个行业或细分领域。
What I say in this video will not apply to every single industry or niche.
但与当前任何职业领域一样,尤其是多亏了人工智能,取得成果的基本门槛已经提高了。
But as with any career sector right now, especially thanks to AI, the baseline that gets results has been raised.
一个处于低发展水平的普通人可以轻松地走捷径。
An average person at a low level of development can take the quick and easy route very easily.
你可以让AI生成一本关于这个主题的电子书,撰写关于这个主题的病毒式内容,生成一些图片和素材并称之为艺术。
You can tell AI to generate an ebook on this topic, to write viral content on this topic, to generate some images and assets and call it art.
这些内容或许能赚到一些钱,但这些人永远无法与那些真正理解现状的人竞争。
And those can make some form of money, but those people will never compete with those who understand what's going on.
换句话说,创办一家平庸的单人企业从未如此容易。
In other words, it's never been easier to start a mediocre one person business.
但如果你不想成为创作者经济中的底层群体——虽然我不喜欢这么说,但底层确实存在——你就必须理解一件非常重要的事。
But if you don't want to be in the lower class, I hate saying that, of the creator economy and the lower the lower class absolutely exists, you need to understand something very important.
这就引出了第二部分:为什么信息产品正在消亡。
So that leads into part two, which is why info products are dying.
我向你保证,你必须理解这一点。
And I promise you have to understand this.
我知道在我们真正深入之前,这听起来只是理论,但你必须改变你的想法。
I know this is just theory before we actually get into it, but you have to change your mind.
你必须理解正在发生的事情。
You have to understand what's going on.
光靠我给你提供实际步骤,你是无法理解的。
You don't understand by me giving you practical steps.
如果你只想获得实际步骤并且打算失败,那就去拿这个YouTube视频,粘贴到像Eden这样的转录工具里,然后试着去跟随并失败吧。
If you just want the practical steps and you want fail, then go take this YouTube video, paste it into some transcription tool like Eden, and go ahead, try and follow it and fail.
信息产品正在消亡,因为市场会经历可预测的意识阶段和饱和阶段。
Info products are dying because markets move through predictable stages of awareness and saturation.
因此,传奇文案作家尤金·施瓦茨将这些阶段划分为五个级别。
So Eugene Schwartz, legendary copywriter, categorized these into five stages.
在第一阶段,当市场上还没有人时,你只需说明你的产品是做什么的,这通常就足够了。
At level one, when nobody is in the market yet, you just state what your product does and that tends to do the job.
然后竞争者出现,你就得做出更大的承诺。
Then competitors arrive and you have to make bigger claims.
接着市场变得怀疑,你就得解释你的运作机制。
Then the market gets skeptical so you explain your mechanism.
因此,说‘我会帮你在线赚钱’听起来开始像骗局,你必须更具体,比如‘构建两小时内容生态系统’。
So saying I will help you make money online started to sound like a scam and you had to be more specific like implement the two hour content ecosystem.
如果你知道这句话出自哪里,向你致敬。
Shout out to you if you know what that's from.
但随后竞争对手复制了这种机制,最终所有人都对这些宣称感到疲惫,品牌开始成为主要的差异化因素,而这一点如今正发生在个人品牌领域。
But then competitors copy that mechanism and finally everyone is exhausted by claims altogether and brand starts to be the major differentiator, which is happening right now with personal branding.
人们渴望从加入一个有共同使命的群体中获得归属感。
People crave the sense of belonging they get from joining a tribe with a mission.
我之前也谈过这一点,我会附上一篇我写过的通讯文章,说明你的使命就是你的细分领域,而不是某个具体技能或话题——如果你还不明白这一点,这会对你有很大帮助。
And I've talked about that before, I'll link a newsletter that I wrote on how your mission is your niche rather than a specific skill or topic that will help you a lot if you don't know that yet.
但社群和真实性比谁的产品听起来更出色更重要。
But community and authenticity matter more than who has the best sounding product.
问题是,我们在信息产品领域已经全面进入了市场成熟的最终阶段。
The thing is, we've hit the final stage of market sophistication across the board with info products.
因此,真正顶尖的产品依然会表现得非常出色,但那些普通的——也就是占大多数的普通产品——大多数人将表现得非常糟糕。
So the really, really good ones are still going to do really, really good, but the average ones, which is average, which is the majority, most people are gonna do really bad.
这也意味着,由于我们正处于这个阶段的顶端,真实性本身已经不再能带来任何区别了。
And that also means that since we're kind of, like, at the top of this level, that authenticity in and of itself doesn't make a difference anymore.
人们已经厌倦了看到各种课程和辅导,这很糟糕,因为如果你是个思路清晰的人,这些东西其实很有影响力。
People are just tired of seeing courses and coaching, and it sucks because those things are impactful if you're a clear thinker.
但事情还不止于此。
But there's more to this.
那些足够聪明、能够超越信息产品整体的人,才会成为赢家。
The select few who are smart enough to transcend info products as a whole will be the ones who win.
所谓超越,并不是说你只是把它们抛在身后。
Now transcending doesn't mean that you just leave them behind.
而是意味着你要进化到下一个层次,并将它们整合进来,因为教育和学习本身永远不会消失。
It means that you evolve to the next level and integrate them because education and learning as a whole is just never going to go away.
但既然你作为一个单独的人在这一领域竞争,市场很快就会变得饱和。
But since you are competing in the space as one single person, things can become saturated quite quickly.
我接下来要告诉你的内容不会长久安全,因为下一个阶段已经近在眼前。
What I'm going to tell you isn't going to be secure for long because the next level is just around the corner.
信息产品并没有持续太久,也许只有十年、十五年,而下一个阶段甚至不会持续这么久,可能只有两到三年。
Info products didn't last that long, maybe like a decade, ten years, fifteen years, and the next phase isn't going to even last that long, maybe two to three years.
谁知道那之后商业会变成什么样子?
And who knows what business is going to look like after that?
我们将为明天而建设,而不是为一年后建设。
We will be building for tomorrow rather than building for a year from now.
想象一下,这种迭代速度将继续加快。
Imagine that that speed of iteration is just going to continue to pick up.
你必须非常迅速,因为这是一个人的主要优势,对吧?
You have to be very speedy because that's the main advantage of being one person, right?
速度和适应性。
Speed and adaptability.
你没有所有的这些开销。
You don't have all of this overhead.
你没有这个团队。
You don't have this team.
你可以明天就做出调整和改变。
You can pick up and change things tomorrow.
如果你想要达到那种真正赋予个人不可剥夺优势的逃逸速度,就必须不断前进和迭代。
You must constantly be moving and iterating if you want to reach the escape velocity that actually gives you the advantage that can't be taken away from from one person.
我的意思是,在你取得相当成功之后,就要超越个人创业的阶段,因为你将永远与同样数量的人竞争。
What I mean is moving beyond the one person business after you've seen a good amount of success because you'll just be competing with the same amount of people forever.
当然,人工智能只会让复制领先者变得越来越容易,因此你不可能长期保持领先。
And of course, AI is just going to continue to make it easier and easier to copy the front runners so you're not going to be a front runner for long.
我在我的内容上也看到了这一点,长期以来都是如此。
I see this with my content, so to say, for the longest time.
我不是那种疯狂地创造所有趋势的人。
I'm not like this crazy guy who just creates all of these trends.
但一旦我偶尔有了一个原创想法,它就会被迅速模仿,以至于看起来不再像原创了。
But once I have, like, an original idea for once, it gets copied very quick, and then it doesn't even seem like an original idea anymore.
从一个想法变得原创到不再原创,这个过程正在变得越来越快。
And that that time from something being original to being non original is just happening, like, really, really fast.
但这里有个好消息。
But there's good news here.
大多数人根本什么也不做。
Most people just don't do anything.
这听起来很严厉,但你很可能身处一个充满雄心勃勃之人的网络回音室中。
That sounds harsh, but you're probably in an Internet echo chamber of, like, ambitious people.
如果你在看我的视频,那你很可能就在这类回音室里。
If you're watching my videos, you're probably in that echo chamber.
但普通人仍然把AI当作提问的对象,或者讨厌AI,而这种情况可能永远不会改变,因为普通人不会用空闲时间去学习和探索。
But the average person just still treats AI as, like, someone to ask questions or they hate AI, and that may never change because the average person doesn't use their free time to learn and explore.
普通人只认为自己可以做一件事,取得一些成功,然后一辈子重复做它,从此不再做任何其他事,因为他们被灌输了这种虚幻的退休观念——认为所有努力终将回报,之后就可以安逸度日。
The average person just thinks that they can do one thing, see some success, then do it for the rest of their life, and then never do anything again because they were sold this illusory retirement where all of their efforts pay off and they can just chill for the rest of their life.
而我们都清楚,这毫无意义。
And we all know that's not meaningful at all.
机械式或线性的生活方式不值得你押上未来,因为意义来自于奋斗、地位和好奇心。
The mechanical or linear way of life is not something to bet your future on because meaning is generated from struggle, status, and curiosity.
一旦你停止追求其中任何一种驱动力,你的生活就会开始显著恶化。
The day you stop following one of those drives is the day that your life continues to get considerably worse.
最后,这引出了第三部分:教育产品的未来。我想用我在Substack上免费阅读的著作《目的与利润》中的一句话来开启这部分。
And finally that leads to part three, which is the future of education products and I want to start this off with a quote from my book Purpose and Profit that's free to read on my Substack.
它不再关乎坐在政府专家面前,学习和别人相同的东西,最终掌握一套即将过时的技能。
It's no longer about sitting in front of a government expert and learning the same thing as everyone else to end up with a soon to be irrelevant skill stack.
而是找到一个与你产生共鸣、拥有共同未来愿景的人。
It's about finding someone you relate with, someone with a shared vision for the future.
如果你看过我的视频,就知道我始终坚信这一点——即使别人都认为信息产品是骗局,创作者经济仍是一个以兴趣为导向的教育体系,它在教授当下真正相关技能方面,远比传统教育更有效。
Now, if you've watched my videos, you know I've always held this firm belief, even when everyone else thinks that information products are a scam that the creator economy is this interest based education system that is far more effective than traditional schooling at teaching people the skills that are actually relevant right now.
我相信,当人们从与自己产生共鸣的人那里学习时,会学得更快、更多。
I believe that people learn more faster when they learn it from someone that they relate with.
我相信,任何人都可以通过关注四到五个相关领域的专家,迅速精通某项技能。
I believe that anyone can follow four to five people on a topic and become very good at that thing very fast.
我依然坚信,有些知识和经验只有你才能获得,而获取并传承这些知识是崇高的。
I still hold the belief that there is knowledge and experience that only you can acquire, and I think it's noble to both acquire it and pass it down.
但传递这些知识的形式或载体必须与时俱进,就像过去从篝火旁的口述,到寄信,到建造图书馆,再到互联网诞生的那一天彻底改变一切一样。
But the format or vessel of how we pass down that knowledge needs to evolve as it always has from speaking by the fire to sending letters to building libraries to the day everything changed when the Internet was born.
静态课程已经不够用了。
Static courses don't cut it anymore.
我的意思是,它们确实有用,但并不是说它们某一天就突然归零了,而是整体市场情绪已经疲惫了。
And I mean, they do, but because it's not like they just go to zero one day, but the general market sentiment is burnt out.
一个十小时的视频库,让人坐下来连续看十个小时,现在人们已经不那么感兴趣了。
A ten hour video library where someone just, like, sits down and watches it for ten hours isn't something that people want that much anymore.
这种学习方式感觉太慢了,而且他们知道外面有更好的、更高效的方法。
It feels slow and they know that there is something out there that is more efficient.
再加上,有90%购买课程的人根本没完成学习,也得不到任何效果。
Plus, it doesn't help that 90% of people that buy a course don't actually go through it and don't even get results from it.
而现在,有了AI,只要知道该问什么,任何人都能生成这些信息——但这种情况其实不太可能发生。
And now, with AI, anyone can just generate that information if they know what to ask, which is kind of unlikely.
因为如果他们知道该问什么,又怎么会一开始对信息产品感兴趣呢?
Because why would they be interested in the info product in the first place if they knew what to ask?
话虽如此,在我看来,教育的未来是学习体验,而非静态课程。
That said, the future of education, in my eyes, is learning experiences rather than static courses.
你不再仅仅是在销售信息,而是在销售你思维的第二个版本。
You're not only selling information anymore, you're practically selling a second version of your mind.
你是在销售你的辅导服务,这么说吧,但你本人并不在场。
You're selling your coaching services, so to say, but you aren't there.
相反,你把所有你知道的东西交给AI,让人们按照自己的节奏学习。
Instead, you pass off everything you know to the AI and let people learn at their own speed.
那么这里的问题是,哦,那些正在使用AI进行教学的学校怎么办?
Now the question here is like, oh, but what about schools that are implementing AI to teach like this?
你不是在和它们竞争吗?
Aren't you competing with them?
不是的,因为学校教的是人们在社会中运作所需的知识。
No, because schools teach people what they need to operate within society.
而你更倾向于教人们一些很少有人知道、学校甚至想不到要教的内容。
Preferably, you're teaching people something that very few people know about and schools wouldn't even think to teach.
你正在为自己的好奇心和自我提升标上价格。
You are placing a price tag on your own curiosity and self improvement.
这就引出了第四部分:这究竟是如何运作的。
So that leads into part four, which is how this actually works.
AI 在基于实用性的任务中表现优异,但在基于意义的任务中则不然。
AI is great for utility based tasks, but not so much for meaning based tasks.
除非你能以一种有意义的方式将其融入你的工作流程,而我计划就此进行探讨。
That is, unless you find a way to work it into your workflow in a meaningful way, which I plan to talk about.
我打算做一个关于写作未来的视频,但这实际上适用于几乎任何技能。
I plan to do a video on the future of writing, but that will really apply to almost any skill.
即使你不是作家,也值得一看。
It's worth watching even if you're not a writer.
举个例子,上个月我让 AI 为我写了大量内容。
As an example, I had AI do a ton of writing for me last month.
我说的是两小时内写了大约 30 篇文章。
I'm talking like 30 articles in two hours.
但这并不是我通常在通讯中写的那种内容,因为我从那些写作中获得了大量意义,而我对 AI 写出的内容必须更加严格地审视。
But this isn't the typical writing that I would do in my newsletters that I derive a lot of meaning from because I would have to be a lot more critical of what the AI writes.
所以对于这个小项目,我生成了这30篇文章,目的是为我的软件Eden建立一个帮助中心。
So for this little project where I generated these 30 articles, I was building a help center for Eden, for my software.
这样,客服人员或未来的客服人员在遇到问题时,就可以将这些文章作为知识库进行参考,或者直接向它提问,因为你可以用AI来提问。
That way I could have the support agent or future support agents reference that as a knowledge base when they have questions, or they can ask questions to it because you can just ask questions with AI.
因此,客服人员不需要通读这30篇文章,而是能在需要时快速找到正确的答案。
So rather than reading through all of those 30 articles, the support agent can just surface the right answer when they need it.
由于这些文章是我撰写的,并且全部保存在一个AI项目中,我可以随时添加新的内容。
And since I wrote these and I have them all inside of a AI project, I can just add to them at any time.
每当我们推出新功能时,我只需要说:‘我需要为这个功能写一篇帮助中心文章。’
Whenever we release a new feature, I can just be like, hey, I need to write a help center article for this.
然后我会提供它的具体功能说明。
Here's exactly what it does.
如果你需要,可以问我一些澄清性的问题。
Ask me clarifying questions if you need.
AI会参考其他帮助中心文章,为你生成一个大纲。
It's going to pull from the other help center articles and present like an outline for it.
然后我会说,好的,看起来不错,填进去吧。
Then And I'm going to be like, Okay, looks good, fill it in.
接着我会通读一遍,确保内容全部准确,这很有趣,因为所有反对AI的人。
And then I'm going to read over that and make sure it's all accurate, which is funny because all of the anti A.
我。
I.
人们总是说,哦,AI。
People, they always say like, Oh, A.
我。
I.
会犯很多错误。
Makes so much mistakes.
只要通读并纠正错误,仍然能为你节省大量时间。
Just read through and correct the mistakes, and that still saves you a ton of time.
这并不意味着AI不好。
That doesn't mean that AI isn't good.
这里另一件事是我们使用了Intercom,这是一款令人惊叹的软件。
And the other thing here is that we use Intercom, which is an incredible software.
他们身处前线。
They are on the front lines.
我其实很惊讶,如此大型的公司竟能如此迅速地做出改变,因为他们拥有自己的AI代理Thin,现在可以引用我们网站的知识库,在我们的客服人员之前就回答问题,从而帮助解决那些无需人工介入的重复性问题。
I'm actually surprised of how such a large corporation can change things so fast because they have Thin, their AI agent, which can now reference this knowledge base from our website and answer questions before our support agent does, which helps resolve the, like, redundant questions where there doesn't need to be a human in the loop.
如果你想知道我是怎么做到的,我只是进入Claude,问它:‘去研究一下Notion、Miro或其他大公司是如何构建他们的帮助中心的,并列出我需要的所有文章。’
And if you're interested in how I did this, I really just went into Claude and I asked it, hey, go and research how other big companies like Notion or Miro or other companies structure their help center and propose a list of all the articles I need.
这是关于我公司的信息。
Here's information about my company.
这是我们拥有的功能。
Here's the features we have.
然后它生成了一份清单,并说:‘好的,你要我逐篇写出来吗?’
And then it spat out a list and he's like, okay, do you want me to go through and write these?
我说:‘是的,但请在过程中不断提问,以确保内容准确。’
I'm like, yes, but ask clarifying questions along the way so that they're accurate.
不要做假设。
Do not make assumptions.
然后我就花了大约一两个小时回答这些问题,所有的文章都自动生成了。
And then I just spent like an hour or two going through answering the questions, and all of the articles were spit out.
两小时听起来好像很长,但写30篇像样的文章确实需要很长时间,而且非常枯燥、令人麻木。
And two hours sounds like a lot of time, but 30 articles, 30 decent articles takes a long time to write, and it's just annoying, mind numbing.
用AI回答问题反而更有趣一些。
Answering questions with the AI is like kind of more enjoyable.
这有点像在玩游戏。
It's kind of like a game.
很有趣。
It's fun.
所以,除了帮助中心之外,把这个概念应用到课程、辅导或信息产品上。
So outside of the help center, just take that same concept and apply it to courses or coaching or info products.
想象一个课程,但课程内容实际上是一个知识库,而你拥有的聊天机器人并不是用于支持的。
Imagine a course, but the course material was actually a knowledge base the chatbot that you have isn't for support.
聊天机器人的作用是帮助人们学习、练习和应用知识库或课程内容。
The chatbot instead is there to help people learn, practice, and implement the knowledge base or the course.
这并不是前端的东西。
That's not on the front end.
这不是人们会直接去浏览的内容。
That's not something that people go through.
他们以一种更具互动性的方式进行学习。
They learn it in a more interactive manner.
我这里谈论的只是一些相对初级的内容,对吧?
And I'm just talking about something that is relatively beginner level here, right?
你并不是在打造下一个价值十亿美元的软件公司。
You're not going and building the next like billion dollar software company.
你是在构建一个小型项目,它比信息产品更进一步,是个人创业者可以针对特定主题卖给特定人群的产品。
You're building something small scale that is the next level up from an info product that one person businesses can sell to a specific person on a specific topic.
关键在于,当AI帮助你撰写通讯、学习写作或创作社交媒体内容时,就像有一位教练坐在你身边,纠正你、帮助你学习,这比课程本身有效得多。
The thing here is that an AI helping you do something like write a newsletter or learn to write or write social media content, kind of like a coach that's sitting next to you and correcting you and helping you learn is much more effective than the course itself.
因此,这里的区别在于,每个人都认为他们应该去构建一个能为你完成所有事情的下一个产品。
And so the distinction here is everyone thinks they should go and build the next thing that does all of it for you.
对吧?
Right?
那个能自动生成你所有社交媒体内容的代理,我不认为这是正确的方向。
The agent that just writes all of your social media content when I don't think that's the way to go.
我们这里讨论的仍然是教育产品,我认为它们本质上更有价值,因为人们有学习的动力。
We're still talking about education products here, and I think those are inherently more valuable because people have the drive to learn.
而且这是一件非常有价值的事情。
And it's just a valuable thing to do.
认为人工智能会让学习变得无关紧要,这种想法有点可笑。
To think that AI is just going to make learning irrelevant is kind of silly.
这就是我所说的学习体验。
So this is what I mean by learning experiences.
它们实际上是互动的。
They're actually interacting.
他们在获得反馈。
They're getting feedback.
他们在指导下进行实践。
They're doing the thing with guidance.
这才是主要的区分点。
That's the main differentiator.
这才是核心价值主张,因为边做边学是最好的学习方式。
That's the main value proposition because learning by doing is the best way to learn.
所以,希望人们不再被困在教程地狱中,不断刷完无尽的教程和课程。
So hopefully people just aren't stuck in tutorial hell anymore going through endless tutorials and courses.
他们通过你的所谓学习体验,最终会带走一些东西——一个成品,这正是由体验方式自然决定的。
They come away from your quote unquote learning experience with something, a final product just by nature of how you go through it.
因为很多参加课程的人实际上并不会去实践。
Because a lot of people that go through a course aren't actually going to do the thing.
这里另一点是,这并不是什么新事物。
The other thing here is that this isn't new.
在大众教育出现之前,知识正是通过学徒制这样传递的。
Before mass education existed, this is exactly how knowledge was passed down through apprenticeship.
铁匠不会递给学徒一本手册,然后说‘自己去琢磨吧’。
A blacksmith didn't hand his apprentice a manual and just say figure it out.
他会与学徒并肩工作,实时纠正他的握法,并在错误发生时立即指出。
He worked alongside him, corrected his grip in real time, and pointed out mistakes as they happened.
这就是为什么我不断强调,我们正经历着工匠精神的回归或新一轮文艺复兴,因为我们正在回归许多更有意义的事物。
This is why I continue saying that we're going through the return of the artisan or the next renaissance because we're kind of looping back to a lot more meaningful things.
我们正在纠正工业化带来的错误,因为在学徒制之后,我们把教育工业化了。
We're kind of correcting the mistakes that came with industrialization because after that period of apprenticeship we industrialized education.
我们需要快速培训成千上万的工人,于是创造了讲座模式。
We needed to train thousands of workers quickly so we created the lecture model.
一位老师,众多学生,标准化的课程。
One teacher, many students, standardized curriculum.
这种模式在规模化上很高效,但对真正学习来说却很糟糕,不过它在灌输思想方面却非常有效。
It's efficient for scale, but it's terrible for actually learning, but it turned out to be great for indoctrinating.
因此,自学徒制以来,我们首次能够实现大规模的个性化互动指导。
So for the first time, since the apprenticeship model, we can have personalized interactive guidance at scale.
对于那些认为人工智能是世界上最糟糕事物的人来说,这一点还无法让他们理解,因为他们根本不把这当作一种选择。
This won't click yet for people that just think AI is the worst thing in the world because they don't see this as an option.
他们认为人工智能是一种包办一切、剥夺我们生活中所有有意义事物的东西。
They see AI as a thing that just does everything and removes all of the meaningful things from our lives.
但这是一种选择。
But that is a choice.
所以,如果我以这个为例,我有我的课程《两小时作家》,我会为它创建模块,这些模块会转化为一个知识库。
So if I were to do this as an example, I have my course, the two hour writer, I would create the modules for it, and that would turn into a knowledge base.
这已经完成了,因为我已经有了这门课程。
This is already done since I have the course.
所以你实际上并不需要跳过这个过程。
So you don't really skip that process.
然后我会构建一个交互式的聊天机器人。
And then I would build some kind of interactive chatbot.
我不确定它会是什么样子。
I don't know exactly what it would look like.
我不会做这个。
I'm not gonna do this.
我还没做过这个。
I haven't done this.
我现在正在创办两家公司。
I'm building two companies right now.
但如果我还是一个人经营业务,那这可能是我会认真对待的事情。
But if I were still a one person business, then this is probably something that I would take seriously.
所以我开发了一个类似的小型软件。
So I built something like a small software.
对吧?
Right?
这会花我一些时间,因为我不是程序员,我知道如今的编程或对话式编程工具,如果你不想出错且无法解决,仍然需要你学习相当多的内容,否则你就不得不雇人或者干脆放弃。
And this would take me a bit because I'm not a programmer, and I understand that the programming or vibe coding tools today still require you to learn a decent amount if you don't want to make a mistake and then not be able to solve it and then either have to hire someone or just quit.
所以你必须得学习。
So you're going to have to learn.
但对于像这样的交互式聊天机器人,我认为这是你能做的最简单的事情之一。
But for something like this, an interactive chatbot, I think this is one of the simpler things that you can do.
所以在我的例子中,这个软件会有三个标签页。
So in my example, the software would have like three tabs.
会有学习、练习和创建三个选项,每个选项都有各自的提示,我们稍后会讨论。
There would be learn, practice, and create, and each of those would have their own prompts, which we'll talk about in a bit.
因此会有一个学习提示,引导人们如何学习,或者每个页面上有多个提示,人们可以按顺序点击,逐步完成互动课程,我想你可以这么说。
So there'd be a learning prompt that guides people through how to learn, or there'd be multiple prompts on each page so people can click in order and kind of go through the interactive lessons, I guess you could say.
而在练习标签页中,情况也差不多。
And then in the practice tab, it would be kind of the same thing.
它会使用课程中的内容给出提示,让他们尝试做一些事情,然后对他们的表现进行评分。
It'd be prompts that take from the lessons and tell them to try something and then grades them on it.
然后还有一个创建标签页,同样也是类似的做法。
And then there would be the create tab, which is again kind of the same thing.
这就引出了第五部分:如何构建一个微型SaaS(软件即服务),而这将是非详尽的。
So this leads into part five, which is how to build a micro SaaS or software as a service, and this is going to be nonexhaustive.
详尽的。
Exhaustive.
所以,我认为信息产品在可预见的未来不会完全消亡。
So again, I don't think that info products are going to be dead completely anytime soon.
教育对人类大脑来说太重要了,而根据自我设定的目标选择学习内容,仍然是最后的护城河之一。
Education is just too important for the human brain, and choosing what to be educated on based on goals you derive for self is still one of the last moats.
学习是人类体验中太基础的部分,不可能被完全商品化。
Learning is too foundational to the human experience to ever be fully commoditized.
话虽如此,我认为在未来几年,信息产品将越来越像软件。
With that said, I think that info products are going to look more like software over the next few years.
而不是下载一本电子书,你会访问一个网站或安装一个应用程序。
Rather than having an ebook to download, you have a website to visit or an app to install.
我突然想到了一个想法。
And idea just came to mind.
我觉得很多课程平台都会以某种大规模的方式进行转型,帮助人们更好地创建课程,对吧?
I feel like a lot of the course platforms are going to pivot in some large way to help people create courses better, right?
因为它们都在引入智能代理和其他工具,帮助你构建课程。
Because they're all implementing agents and things that you can use to help you like build the course.
但终端用户呢?
But what about on the end user?
他们怎么样?
How are they?
AI将如何为终端用户带来价值?
How is the AI going to bring value to the end user?
所以,如果你想进入创建课程或信息产品平台的行业,帮助人们实现这一点。
So if you want to get into that industry of building a course or information product platform than help people do this.
而不是提供可下载的电子书,你会提供一个需要访问的网站或需要安装的应用程序。
Rather than having an ebook to download, you would have a website to visit or an app to install.
我有几个做生意的朋友已经在这样做了。
I have a few business friends who are already doing this.
我知道有一个创建了提案生成应用的人,它能帮助你识别最好的想法,将它们转化为有吸引力的提案,并进一步超越这一点。
I know one that created an offer creation app that helps you identify your best ideas, turn them into a compelling offer, and go beyond that.
另一个例子是,不要销售像‘如何与女孩交谈’这样的电子书课程或辅导项目,而是创建一个模拟与女孩对话的聊天机器人。
As another example, rather than selling something like a how to talk to girls ebook course or coaching program, you create a chatbot that simulates them talking to girls.
这可能是个取巧的例子,但它确实教你如何发短信,对吧?
Is a this is a cop out example, but it like teaches you how to text, right?
这是一个非常赚钱的行业,虽然有点令人遗憾。
That's one very profitable industry, which is unfortunate.
但另一个例子是,与其做一个效率课程,不如创建一个AI,帮助用户明确愿景、规划优先任务,并在事项未完成时发送提醒,甚至可以集成到简单的待办事项应用中。
But another example is rather productivity course, you create an AI that helps them identify their vision and outline their priority tasks and gives them notifications when things aren't complete, and it can even be integrated into like a simple to do app.
但这比单纯说‘购买我的课程’要吸引人得多。
But that's just much more enticing than something like buy my course.
现在,如果你一直关注我的任何视频,或者看过我发布的提示,你应该能明白我想表达的意思。
Now, if you've been following any of my videos at all or if you've seen the prompts that I've given out, you kind of know what I'm getting at here.
因此,我发给邮件列表的所有提示,我都会在描述中链接其中一些。
So any of the prompts that I've sent to my email list, I'll link some of those in the description.
这些很容易就能转化为微软风格的应用,你只需要为这些功能创建一个用户界面,并将其设为系统指令。
Those could easily be turned into a Microsoft where you just have to create a UI for those things and set that as the system instructions.
我还在我的视频中教过如何创建优秀的提示,如何比99%的人更好地使用AI。
I've also taught how to create good prompts in my video, how to use AI better than 99% of people.
我觉得是几集之前的内容,但这些将成为你那个小AI应用的系统提示。
I think it's a few videos ago, but these would become the system prompts of your little AI app.
因此,与其创建一个非常通用的ChatGPT,不如打造一个高度具体的聊天工具或软件,帮助人们学习、练习并实践你最初在信息产品中所教授的内容。
So rather than creating a very general chat gbt, you create a hyper specific chat or software that helps people learn, practice, and do the thing you were teaching about in the first place with the info product.
这里的问题是:但丹,构建一个ChatGPT包装器不是作弊吗?
The question here is, but Dan, isn't building a chat gbt rapper cheating?
按这个逻辑,互联网上任何东西的构建都是作弊。
Well, by that logic, building anything on the internet is cheating.
Typeform,这家价值十亿美元的公司,只是一个HTML包装器。
Typeform, a billion dollar company, is just an HTML wrapper.
Cursor就是一个GPT包装器。
Cursor is a GPT wrapper.
你构建的任何信息产品都会被你所使用的平台所封装。
Any info product you build is wrapped by the platform you build it on.
如果AI是下一代云解决方案——我认为确实是这样,那么互联网上的每款软件都将是一个封装层。
And if AI is like the next cloud solution, which I think it is, every piece of software on the internet will be a wrapper.
所以,是的,作为一个需要精打细算、善用第三方工具的人,使用ChatGPT封装器是一个绝佳的选择。
So yes, as one person who has to be savvy with their resources and use third party tools, a ChatGPT wrapper is a great way to go.
因此,你可以像构建帮助中心的知识库一样来制作课程。
So you create the course kinda like you would the knowledge base for a help center.
你将所有文章都构建出来。
You build out all the articles.
你几乎已经完成了课程的制作,然后你再创建所谓的系统提示词,或者多个这样的提示词。
You practically create the course, and then you create what's called a system prompt or multiple of these.
就像我们刚才讨论的,系统提示词是一组你在AI与任何人对话前给予它的指令。
So like we just talked about, a system prompt is a set of instructions you give to an AI before it talks to anyone.
它定义了AI的性格、知识边界和行为准则。
It defines the AI's personality, knowledge boundaries, and behavior rules.
你可以把这看作是为AI塑造身份。
You think of this as programming the AI's identity.
例如,如果你正在创建一个AI写作教练,你的系统提示可能包括AI的角色,即AI应该如何行动、它的具体指令、它应逐步骤完成的任务、它的知识库——即你所有的框架、流程和示例,它的边界——它应该和不应该帮助的内容,以及它的个性——它的说话方式、使用的语气,以及它是严厉还是支持性的。
For example, if you're creating an AI writing coach, your system prompt might include the AI's role, so how the AI should act, its instructions, what exactly it should do step by step, its knowledge base, so all of your frameworks, processes, and examples, its boundaries, what it should and shouldn't help with, and its personality, so how it talks, what tone it uses, how harsh or supportive it is.
而这个提示正是让你的AI与众不同的关键。
And the prompt is what makes your AI different from everyone else's.
正是你独特的知识、框架和声音,能够同时帮助成千上万的人。
It's your specific knowledge, your frameworks, and your voice that can help thousands of people at once.
那么,别人能偷走这个吗?
Now can people steal this?
很可能。
Probably.
但他们同样可以偷走你构建的任何东西。
But they could have stolen anything you build.
这根本就不是一个有效的理由。
That's just like never a valid response.
哦,如果别人偷了我的想法怎么办?
Oh, what if they steal my idea?
再说一遍,大多数人根本什么都不做。
Again, most people just don't do anything.
现在进入第六部分:如何实际构建软件。
And now part six, how to actually build the software.
你可以直接使用像 Replit 或 Cursor 这样的工具,甚至可以试试 Claude Code,这是一个终端应用。
And you just use a tool like Replit or Cursor, or you can even try Claude Code, which is a terminal app.
我还没试过,但在 Claude 里面有一个你可以点击的代码标签页。
And I haven't done this, but inside of Claude, there's like a code tab that you can click on.
所以你可以试试看。
So maybe try that.
这里的关键是,是的,你得学会如何使用它。
And the thing here is that, yes, you will have to learn how to use this.
对吧?
Right?
展开剩余字幕(还有 80 条)
我们已经听够了人工智能的炒作,知道现在的人工智能至少还不能解决我们所有的问题,也不能完全按照我们的指令精确执行。
We've we've heard the AI hype and we know that AI just, at least now, isn't this thing that just solves all of our problems nothing and just can execute commands exactly how we ask.
我认为它永远做不到这一点。
I don't think it can ever do that.
对吧?
Right?
因为你怎么可能把这么多上下文压缩进一句话里呢?
Because how can you get so much context into one sentence?
对吧?
Right?
你可以说:嘿,帮我制作这个YouTube视频。
You can say, hey, create this YouTube video for me.
它怎么知道你要什么样的YouTube视频呢?
How is it gonna know what kind of YouTube video?
什么样的这种视频?
What kind of this?
这种视频是什么类型的?
What kind of this?
它的结构是怎样的?
How is it structured?
节奏如何?
What's the pacing?
语气是什么样的?
What's the tone?
有多长?
How long?
你打算在视频里包含哪些想法?
What are all of the ideas that you're gonna include in there?
它会自己假设并编造这些内容,然后让你署名吗?
Is it just gonna assume those and make those up and then you're gonna put it under your name?
事情不是这么运作的。
That's not how this stuff works.
所以,学习这类东西最好的方法是,第一,开始动手尝试和实验。
So the best way to learn something like this is to, one, just start tinkering and experimenting.
一旦你开始尝试和实验,就去观看YouTube教程,学习如何使用这些工具,而且你必须有一个正在构建的产品目标。
Once you start tinkering and experimenting, then start watching YouTube tutorials on how to use those things, and you have to have a product that you're building toward.
你必须有一个明确的想法,关于你要构建的这个所谓的信息产品或进阶信息产品。
You have to have an idea for this, quote, unquote, info product or evolved info product that you're building.
当你观看YouTube教程时,它们不会教你如何构建你那个产品。
And then when you watch the YouTube tutorials, they're not gonna be about how to build that.
因此,你需要将所学的内容进行调整并应用到你的项目中。
So you're going to have to adapt and apply what they teach to what you're doing.
如果你遇到困难,可以直接问AI如何完成特定的操作。
And if you get stuck, you can just ask AI how to do specific things.
我现在就经常这么做。
I do this all the time right now.
我经常直接问它如何在Photoshop或Framer中完成某些操作,它会从这些工具的帮助中心或论坛中提取信息。
I literally ask it how to do things in Photoshop or Framer all the time, and it pulls from the help centers of those things or forums.
你可以在这里做的一个例子是,直接问:给我一份关于如何正确进行氛围编码的综合指南,然后你可以让它为你正在构建的东西创建一份综合指南。
An example of what you can do here is you can just ask, like, give me a comprehensive guide on how to vibe code correctly, and then you can ask it to create a comprehensive guide on what you're trying to build.
对吧?
Right?
如何创建一份关于构建这个AI聊天应用的综合指南,包含多个标签页,围绕这个特定主题,并结合这个知识库,如果需要的话,就产品细节提出澄清性问题。
How create a comprehensive guide on building this AI chat app with these many tabs on this specific topic, with this knowledge base, ask clarifying questions on the product if you need it.
而我只是一个有这个预算的普通人,诸如此类,你就这样持续对话。
And I'm one singular person with this budget, so on and so forth, and you just converse.
现在,这里的关键是,这就像任何其他技能一样,对吧?
Now, the thing here is that this is just like any other skill, right?
你不可能一上来就马上会骑自行车。
You don't start riding a bike immediately.
你会先摔下来,然后再次尝试。
You kind of fall off and then you try again.
这会让人感到沮丧。
It gets frustrating.
每个人都处于这种超级状态。
Everyone's in this like like super.
他们需要快速得到结果。
They need the quick result really fast.
如果第一次没得到结果,他们就会放弃。
If they don't get results the first time around, then they quit.
但技能习得并不是这样的。
But that's not how skill acquisition works.
你会感觉很奇怪。
You're gonna feel weird.
你会感到不知所措。
You're gonna feel overwhelmed.
你会觉得自己一段时间内毫无进展。
You're gonna feel like you're not making progress for a bit.
这很正常。
That's just how it goes.
在你觉得自己能给某个应用定价之前,你得先开发三到四个应用。
You're gonna have to build three to four apps before you feel like you can actually put a price tag on one.
这就是为什么现在就要开始,因为我要说的是,变化会非常快地发生。
That's why it's important to start now because remember what I talked about is that the change is gonna happen really fast.
这次的变化会比以前更快。
It's gonna happen faster than before.
信息产品在十到十五年内就消亡了。
Info products died in ten to fifteen years.
这个可能在两到三年内就会消亡。
This may die in two to three years.
之后,我们甚至不知道未来会是什么样子,你必须随时适应变化。
And then after that, we don't even know what things are gonna look like, and you're gonna have to adapt on the fly.
所以现在的问题是,你的真正优势在哪里?
So the question now is where does your advantage actually lie?
你的优势不在于做AI做不到的事,因为那是一场必输的游戏。
Your advantage isn't doing what AI can't do because that's a losing game.
你的优势在于用AI做只有你会想到的事。
Your advantage is doing what only you would think to do with AI.
不是每个人在ChatGPT、Replit或Cursor中输入的内容都一样,这意味着这些工具的输出是无限独特的。
Not everyone types the same thing into ChatGPT or Replit or Cursor, meaning the output of those things are infinitely unique.
你独特的兴趣、经验和见解会催生出别人不会创造的提示和产品。
Your unique combination of interests, experiences, and insights leads to prompts and products nobody else would create.
纳瓦尔·拉维坎特将这种能力称为特定知识。
Naval Ravikant explains this as specific knowledge.
特定知识是无法通过培训获得的。
Specific knowledge can't be trained for.
它源于对真正好奇心的追求。
It comes from pursuing genuine curiosity.
构建它对你来说会像玩耍一样。
Building it will feel like play to you.
它通常位于知识的边缘。
It's often at the edge of knowledge.
那个花了十年时间痴迷于效率,然后去开发这款AI软件的人,所构建的东西会比那些没有在该领域投入如此多时间的人更加细致入微。
The person who spent ten years obsessing over productivity and then they go and build this AI software is going to build something so much more nuanced and detailed than someone who hasn't spent that much time in their domain.
它会比那些只是去ChatGPT或Claude那里,让他们帮忙开发一个效率应用的人,好得多、也细致得多。
It's going to be so much better and more nuanced than the person who just goes to chat GBT or Claude and tells them to build a productivity app.
如果这位痴迷者还在社交媒体上围绕效率这一特定知识建立了受众,那么他们的优势就更大了。
And if that obsessed person has built an audience on social media with said specific knowledge around productivity, then they're at even more of an advantage.
所以我们在本视频中谈到了信息产品已经过时了。
So we talked about how info products are dead in this video.
我们将在另一个视频中讨论基于价值的内容也已过时的问题。
We're going to talk about the whole value based content thing is dead in another video.
这里的讽刺之处在于,AI正在让人类的知识变得更宝贵,而不是更不值钱。
So the irony here is that AI is making human knowledge more valuable, not less.
这太疯狂了。
That's crazy.
这简直是一个惊人的洞见。
That's like a crazy insight.
因为AI让每个人都变快了。
Because AI made everyone fast.
任何人都能制作课程、撰写内容、抄袭他人,但很少有人是无法被复制的。
Anyone can make a course, anyone can write content, anyone can copy anyone, but very few people are uncopyable.
很少有人花了数年时间打磨出如此精细的经验或品味,以至于没人会想到去复制那些让作品奏效的细节。
Very few people have spent years developing so much fine tuned experience, or taste, that nobody would think to copy the details that make it work.
打造只有你才会创造的东西。
Build the thing that only you would build.
视频描述中提供了我在本视频中提到的所有内容的链接。
Links in the description for the things that I mentioned throughout this video.
如果你想在这些视频发布时收到通知,或者想阅读本视频的通讯版,请订阅我的通讯,你就能收到。
If you want to be notified when these videos go out or you want to read the newsletter version of this video, subscribe to my newsletter and you'll get that.
如果你下载了Substack应用,当这份通讯发布时,你还会收到移动通知。
And if you download the Substack app, you'll also get a mobile notification when that newsletter goes out.
当然,你也可以注册Eden等待名单,这是AI画布和驱动工具。
And of course, you can sign up for the Eden waitlist, which is the AI canvas and drive.
所以你可以添加任何你的文件。
So you can add any of your files.
你可以粘贴像YouTube视频这样的链接,它会下载并转录这些内容,以便通过AI进行搜索和引用,然后你可以将它们拖到画布上,任意你的文件,连接到AI聊天,以这种独特而不同的方式工作。
You can paste links like a YouTube video, and it downloads them and transcribes them so they can be searched and referenced with AI, and then you can drag them onto a canvas, any of your files, connect them to AI chats and work in this unique and different way.
我们下一轮从等待名单中邀请进入Eden的用户将在一月下旬左右进行,之后我们将开始为全面公开发布做准备。
And the next round of people that we bring into Eden off of the wait list will happen late January ish, and then we'll start prepping for our full public launch.
谢谢观看。
So thank you for watching.
如果你还在,点赞并订阅吧。
Like, subscribe if you're still here.
和往常一样,这只是一个按钮。
As always, it's just a button.
我们下个视频见。
I'll see you in the next video.
再见。
Bye.
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