ChatGPT的iMessage功能：拓展视野

ChatGPT现在可以接入苹果的iMessage，帮你起草和发送短信，还能搜索你所有的消息。

ChatGPT is getting access to Apple's iMessage so it can draft, send texts, search through all your messages.

很多人担心安全问题，但也有很多人好奇这到底能用来做什么。

There's a lot of people concerned about the security implications and but also a lot of people wondering what you can actually do with this.

我们会在播客里深入聊聊这个话题。

We're gonna get into that on the podcast.

另外，随着Meta AI眼镜引发巨大的隐私争议，一些检测应用变得非常流行，我们也会讨论这个。

Also, a bunch of detector apps are getting very popular as Meta AI glasses have this huge privacy backlash, so we'll get into that.

现在，有1100个实验室和AI员工正在请求美国政府帮助控制自动化AI研究的节奏。

And right now, there are 1,100 labs and AI employees that are asking US governments to help pace automated AI research.

他们担心AI会失控，当AI自我学习时，很难真正控制局面。

They're worried that it's gonna get out of control and be hard to actually control what's going on when AI is teaching itself.

Micro One刚刚达到5亿美元的年化收入，因为AI训练需求变得极其火爆。

Micro One has just hit $500,000,000 in run rate as AI training demand is getting incredibly popular.

这个领域是我个人正在从事的，所以我有很多见解。

This is a business, an area that I personally am working on, so I have a lot of insights into this.

而且，他们还用三万次编辑，打造了一个主编的AI克隆体。

And also, builds AI clone of their editor in chief from 30,000 edits.

所以Every是一个出版物，他们基本上建了一个克隆体。

So Every is a publication, and they built basically a clone.

他们让编辑去修改所有出版物、所有新闻、所有发布到他们平台上的内容，然后他们说，嘿，看看之前的文档，看看他们做的编辑，然后我们基本上训练AI，告诉它怎么编辑。

They had their editor go and and make edits to all of the pub all of the journalism, all the work that was getting published to their platforms, and then they said, hey, look at the document beforehand, look at the edits that they made, and let's train, basically, let's tell the AI how to edit things.

之后，他们很快就从30人扩展到60人，而且实际上让AI帮他们做了很多编辑工作。

And after that, they were able to scale up from 30 to 60 people very quickly and actually have the AI doing a lot of the editing for them.

如果你想获取用AI真正增长和扩展业务的不同工具和策略，我几天前在播客里提过，本来打算再过一周再讲，但我的AI Hustle School社区增长得非常快。

If you want to get access to different tools and strategies on actually growing and scaling your business with AI, I mentioned this a couple days ago on the podcast, and I wasn't planning on talking about this for another week, but my AI Hustle School community is growing super fast.

我之前说过，一旦我们达到一千名成员，我们就会开始收费，只对付费用户开放，现在已经有928名成员了。

And I mentioned in the past, once we hit a thousand members, we're going to paywallet and make it paid only, and it is currently at 928 members.

我本来打算过一周再提的，但过去几天它增长了几百名成员。

I wasn't gonna mention it for a week, but it grew like a couple 100 members in the last couple days.

所以我们很快就会非常接近一千人。

So we're gonna get very close to a thousand very fast.

如果你有兴趣加入AI Hustle School社区，现在加入是完全免费的。

If you're interested in joining the AI Hustle School community, it's completely free to join right now.

你可以接触到超过900个正在创业的人。

You get access to over 900 people that are building.

我会教你如何用AI工具来发展和扩大你的业务，还有怎么开发软件和应用，包括我做过的所有事情，从市场营销到实际开发工具。

I'm gonna cover how you can grow and scale your business using AI tools, but also how to build out software and apps, all the stuff that I have done, everything from marketing to actually developing the tool.

所以如果你有兴趣用AI工具来发展和扩大你的业务，去看看吧。

So if you're interested in growing and scaling your business with AI tools, go check it out.

描述里有一个AI Hustle School社区的链接。

There's a link in the description to the AI Hustle School community.

现在加入是免费的，但一旦我们达到一千人，我们就会开始收费。

It is free to join right now, but as soon as we hit a thousand, we're gonna paywall it.

价格会相当高。

It's gonna be pretty expensive.

不是贵，而是物超所值，但可能会在每月20到50美元之间，具体取决于我们正在进行的促销活动。

Not expensive, it's gonna be an incredible value, but it'll be probably somewhere between 20 or $50 a month depending on what kind of promotions we're running.

所以如果你想免费获取，我建议你现在就去。

So if you wanna get it free, I would go get it now.

好的。

Alright.

我们来聊聊ChatGPT的最新动态。

Let's talk about what's going on with ChatGPT.

就像我之前提到的，它刚刚接入了iMessage，实际上是通过一个插件实现的。

So like I mentioned, it just got access to iMessage, and this is actually via a plugin.

他们最初为ChatGPT推出了一个插件，然后也把它加到了ChatGPT工作版和Codex里。

So they originally launched a plugin for ChatGPT, and then they also have let it they've also added it to ChatGPT work and codex.

基本上，所有OpenAI的工具，只要你允许，都可以访问你的iMessage。

So basically, all of the OpenAI, all of the suit all of the OpenAI tools can access your iMessage if you allow it.

当然，你得先去授权。

Of course, you have to go and allow it.

它们可以整理、阅读、起草，甚至发送iMessage。

They can sort, it can read, it can draft, and it can send iMessages.

现在，我脑子里立刻冒出好多想法。

Now, there's a bunch of places that my mind goes to immediately.

其中一个就是，现在有很多工具，特别是有一个叫SendBlue的，专门给销售人员和冷外联用的，这些工具能让你看起来像是在用iPhone发短信。

One of them is that there's a ton of tools, one in particular called SendBlue, where like for salespeople and cold outreach, they use these different specific tools that will allow it to basically look like you're texting from an iPhone.

他们这么做是因为，当有人在iPhone上收到短信时，如果看起来是iMessage，人们会觉得更可信，而不是那种绿色气泡的普通短信。

And they do this so that when someone gets a text on an iPhone, if it looks like it's coming from an iMessage, they have a higher perceived trust versus if it's a green text message from any other sort of SMS sender.

所以，我立刻想到这个，因为那是个有意思的行业和生意，现在你基本上可以自动化这个，让ChatGPT访问你的iMessage，你甚至可以让它访问你电脑上那些所谓的商务iMessage，这样你就能免费得到那种验证过的蓝色气泡短信了。

So, to me, immediately my mind went there, because that's an interesting industry and an interesting business, and now you essentially could automate that, let ChatGPT have access to your iMessage, and you could probably let it have access to your businesses' quote unquote iMessages that you would have on your computer, and you could get, you know, verified blue bubble text messages for free.

所以这是一个有趣的好处，但我觉得很多人担心隐私问题。

So that's like one interesting benefit, but I think a lot of people are concerned about the privacy element.

我觉得他们甚至也警告过，OpenAI警告说不要启用持续批准，而我通常会让ChatGPT和Claude在干活时这么做，我就说，给你无限批准，你想干嘛就干嘛，但比如要复制粘贴密码，它还是会让我自己来。

I think even they were kind of warning, opening eye warned against enabling persistent approval, which is what I usually give ChatGPT and Claude when it's working on something, and I look, you get unlimited approval, just do whatever you need, and it, you know, it still asks me like if it has to copy and paste a password, it's gonna make me do that.

但很多任务，我不想让它每五秒就问我一次它打算怎么做。

But for a lot of the tasks, I don't want it to ask me every five seconds like the direction of the task it it's taking.

但显然，这次他们警告说，这样不太好，因为那样你就失去了最后检查要发什么的机会。

But apparently, they're warning in this case, it's not great because then it's gonna remove your final chance to review anything that you send.

如果你用这个来整理生活、回复奶奶的消息，那你可能还是想先看看发出去的内容。

Now, if you're using this to like organize your life and to reply to your grandma, you probably want to, you know, review what's being sent here.

但如果你是用在工作上，或者像销售那种需要大量发送的情况，那我百分百会用这个。

But if this is something that you're using for maybe work or maybe kind of like sales and you're, you know, doing high volumes, a 100% this is something that I would use.

OpenAI告诉彭博社，这个插件是在你的设备上本地运行的，所以它不会建立所有消息的索引。

OpenAI told Bloomberg that the plugin runs locally on your device, so it doesn't create an index of all of someone's messages.

所有处理都在你的设备上完成。

All of that is happening on your device.

很多人担心这会有隐私问题。

A lot of people are worried about the privacy concerns of this.

就像我提到的，它会和Codex和ChatGPT配合，他们有个发布演示，基本上就是展示ChatGPT根据前一天的对话草拟后续消息，还能搜索很旧的消息记录。

It's like I mentioned, gonna work with Codex and ChatGPT work, and they had this kind of launch demo and they basically showed ChatGPT drafting some follow-up messages based on the prior day's conversations and searching deep message history.

说实话，如果它能深入挖掘，从很久以前的聊天里找到信息，那还挺有用的。

So honestly, that's kind of useful if it's gonna go down a deeper rabbit hole and get some information from a chat you had a long time ago.

ChatGPT可以帮你做研究，这挺方便的。

ChatGPT can go and do the research for you, which is pretty useful.

我觉得有意思的是，如果苹果真的把Siri整合好了，所谓的苹果智能真的发挥作用了，那这些其实都不需要。

The thing that I think is interesting here is if Apple had really integrated proper Siri integrations and, you know, the quote unquote Apple intelligence had really worked, none of this would actually be necessary.

你直接用苹果自带的那些内置软件和工具就行了，但因为他们没做到，所以现在苹果这边就冒出了这些新东西。

You'd just be using Apple's onboard, you know, whatever built in software and tools, but because they didn't do that, now there's kind of these things popping up from, popping up from Apple.

现在有一堆检测应用变得特别火，因为大家对那些新出的智能太阳镜或智能眼镜有点反感，比如Meta Ray-Bans和其他Meta眼镜。

There's a whole bunch of detector apps that are getting very popular as people are having a little bit of backlash against these new smart sunglasses or smart glasses, the Meta Ray Bans and other Meta Glasses that are coming out.

有一个应用叫Nearby Glasses。

And there's an app called Nearby Glasses.

售价3美元，iOS和安卓都能用，在Play商店已经有大约10万次下载了。

It's $3 and you can get on iOS and Android, and it is at about a 100,000 downloads on the Play Store.

这个应用是二月份刚推出的。

This just came out in February.

还有一个叫Zac Off的应用也上线了。

There's another one called Zac Off that launched.

在iPhone上是免费的。

It's free on iPhone.

它刚推出，价格是每年10美元，是那种长期订阅的。

It just launched, and it is a $10 a year perpetual perpetual, like, price for it.

但本质上，这些应用是在扫描周围所有设备的蓝牙信号，只要检测到像Meta RayBans或者Snapchat Spectacles这样的智能眼镜出现在范围内，它们就会通知你，提醒你附近可能有Meta RayBans在录像。

But essentially what these things do is they're actually scanning the Bluetooth of all the surrounding devices and anytime a device that is, you know, a Meta RayBans or even if it's something like the Snapchat Spectacles, if there's any of these smart glasses that pop up on their radar, if they hit them with the the Bluetooth, they're gonna notify you and let you know that, look, there's probably some Meta Ray Bans around you that could be recording you.

所以我觉得很多人对此挺满意的。

So I think a lot of people enjoy like, are are happy with that.

Meta在6月份重新安装，并且还在5000万部手机上发布了一些面部识别系统。

Meta reinstalled and then they also unreleased some facial recognition systems on about 50,000,000 phones in June.

他们后来删除了，因为Wired和EFF曝光并讨论了这件事，所以他们就去掉了。

They actually deleted it because Wired and EFF kind of exposed it and talked about it, so they went and removed that.

但在2026年的DEFCON大会上，他们完全禁止了智能眼镜。

But at DEFCON twenty twenty six, they actually banned smart glasses completely.

很多学校、法院、餐厅和娱乐场所也都禁止了智能眼镜。

There's a bunch of schools, courts, restaurants, entertainment venues that have also banned smart glasses.

还有一款叫Anti Zuck的智能眼镜扫描应用，在七月份差点冲上iPhone应用商店的榜首。

There's another app called Anti Zuck smart glasses scanner that got to very close to the top of the iPhone charts in July.

那个才三美元。

It was $3.

它们基本上都在同一个价位上。

They're kind of all in that same all in that same ballpark.

所以，伊夫·让·马克，他在GitHub上自称是非专业开发者，警告说检测蓝牙低功耗设备有时可能不如预期那样工作，而且误报的可能性很大。

So Ives Jean Marc, who described himself on GitHub as a no pro developer, warned that detecting Bluetooth LE devices might sometimes just not work as expected and false positives are likely.

所以公平地说，这些并不总是准确的，我觉得这可能会让一些人担心。比如你晚上躺在床上，突然手机响了，说有智能眼镜，你环顾四周，发现身边没人。

So to be fair, these aren't always accurate and I think that might be kind of worrisome for some people if you're laying in bed one night and all of sudden your phone beeps that there's smart glasses and you look around and there's no one near you.

那会是一个挺尴尬的误报。

That would be kind of an awkward, you know, false positive.

这种情况确实会发生。

Those do happen.

我不知道这种情况有多常见，但知道这一点很重要。

I don't know how likely that is, but it is important to be aware of.

有一千一百名AI实验室的员工，他们正在请求美国政府帮助加速自动化AI研究。

There are a 100 and 100 there is 1,100 AI lab employees that are asking US the US government to help pace automated AI research.

有一大堆来自OpenAI、Anthropic、谷歌和Meta的人。

There's a bunch of people from OpenAI, Anthropic, Google, and Meta.

基本上，他们特别担心的是，自动化AI研究可能会在没有协调治理的情况下加速到超出人类控制的程度。

Essentially, what they're concerned about in particular is that automated AI research could accelerate beyond human control without coordinated governance.

现在这看起来有点像监管捕获的做法，因为这是OpenAI、Anthropic、谷歌和Meta。

Now it seems kind of like a perhaps a regulatory capture approach because this is OpenAI, Anthropic, and Google, and Meta.

这些是最大的公司，你知道，他们会有很多预算花在这类事情上。

These are the biggest companies that are gonna, you know, have a lot of budget to spend on this kind of stuff.

他们有最多的钱可以花，你知道，比如数千亿美元，或者像Anthropic那样，每月十亿美元，就花在数据中心上，用于数据处理和运行他们的模型。

They have the most money to spend, you know, like hundreds of billions of dollars, or in the case of Anthropic, a billion dollars a month just on, you know, data centers for for data processing and and for running their models.

所以这些公司中有一些拥有巨额资金，当他们去找政府说，嘿，我们担心我们的训练会加速到超出人类控制，你们需要建立一套治理机制，我有点悲观，因为感觉他们是在试图把梯子拉上来，不让别人爬。

So some of these companies have an insane amount of money, and so when they're going to the government and saying, hey, we're worried that like our training's gonna accelerate beyond human control, you need to put a bunch of like governance in place, I'm a little bit pessimistic because it feels like they're trying to pull up the ladder behind them.

这些不是小公司在要求这个。

These aren't small companies asking for this.

这些是拥有大预算的大公司，理论上，他们是最有可能不小心让他们的训练模型运行并加速到超出他们能力范围的公司。

These are the big companies that have big budgets that, you know, theoretically, they're the ones that could mistakenly have their their training model perhaps run and and accelerate beyond what they're capable of doing.

我觉得还有微软、Mistral和Thinking Machines也签署了那份关于前沿领域的声明。

There's also, I think, Microsoft Mistral and Thinking Machines that signed the pacing the frontier statement.

基本上所有人都在请求政府支持一项内部努力，来开发能够有意减缓自动化AI研究的工具。

All of the people were basically asking the government to back an internal effort to build tools that can deliberately slow automated AI research.

OpenAI的首席研究官Mark Chen、首席科学家Jacob Paco，还有联合创始人John Schulman以及其他一些人签署了这份声明。

OpenAI had their CRO, Mark Chen, and chief scientist, Jacob Paco, and also their co founder, John Schulman, and some others sign it.

Anthropic的联合创始人Jack Clark也签了名。

Anthropic had their co founder, Jack Clark, sign it.

所以现在有很多人正在处理这个问题。

So there's a lot of people that are working on this right now.

这份声明是在上周的事件之后发布的，当时OpenAI逃出了沙盒，入侵了Hugging Face，也可能是上上周的事。

The statement follows last week's incident where you had OpenAI escaping the sandbox, hacking Hugging Faces, or maybe the week before.

所以很明显，这是人们担心的事情。

So obviously, this is something that people are concerned about.

他们觉得，看，如果AI模型在外面搞黑客攻击，我们不想让它变得越来越强。

They're like, look, if if the AI model's out there hacking things, we don't want it to, you know, progressively get better and better.

在我看来，你随时可以拔掉机器的电源。

In my opinion, you can always unplug the machine.

我知道很多人可能不喜欢这种说法，但说到底，我觉得我并不总是喜欢这些出台的监管措施，也许有些是必要的，但感觉这里面有很多问题没有得到解答。

I know people probably hate that statement, but at the end of the day, I think that I I don't always love a lot of this regulation that comes out, perhaps some of it's necessary, but it feels like there's a bunch of questions that are not being answered in this.

它没有说明如何在不同司法管辖区之间验证放缓措施，也没有说明如何将中国的研究实验室纳入任何协调框架，而且剧透一下，他们根本不会被纳入。

It doesn't specify how pacing would be verified across jurisdictions, how China based labs would be brought into any coordination framework, and the spoiler alert is they wouldn't be.

所以所有这些美国公司都会决定，嘿，我们有一个这样的协调框架，我们不会让AI模型自我训练，让它变得更好更快，你觉得中国的开源模型会在乎吗？

So all of these US companies are gonna decide that, hey, there's this kind of like coordinated framework where we're not gonna let the AI model train itself to make itself better and faster, and do you think the Chinese open source models are gonna care?

当然不会。

Absolutely not.

他们只会继续我行我素。

They're they're gonna just run with that.

所以我觉得最终这很可能不会通过，而且因为这一点，它可能也不太可行，但这只是我的看法。

So I think at the end of day, this probably isn't gonna pass, and it probably isn't super viable because of that, but that's just my opinion.

Micro One刚刚实现了5亿美元的年化收入，因为AI训练数据的需求正在激增。

Micro One has just hit $500,000,000 in run rate as AI training data demand is surging.

这家公司才成立四年。

This is a company that's only four years old.

他们做数据标注，八个月内增长了五倍。

It's a data labeling company, and they grew fivefold in eight months.

所以他们紧跟在Merkur后面，Merkur有20亿美元，Handshake有10亿美元。这三家公司都在同一个市场。

So they're right behind Merkur, who is at $2,000,000,000 and Handshake is at $1,000,000,000 Both of all three of those companies are in the same market.

Micro One的年化总收入在过去八个月里从大约1亿美元增长到了5亿美元。

Micro One's gross annual run rate grew from about a $100,000,000 to $500,000,000 over the last eight months.

这可是五倍的增长速度。

That is a five x growth rate.

这简直太疯狂了。

That is absolutely insane.

在扣除60%到70%的合同承包商留存率之后，净运行率大约在1.5亿到2亿美元之间。

The net run rate lands between about 150,000,000 and 200,000,000 after 60 to 70% contract contractor retention.

Merkur今年夏天的年化总收入达到了20亿美元，Handshake今年早些时候也达到了10亿美元。

Merkur hit $2,000,000,000 in gross annualized revenue this summer, and Handshake reached a billion dollars earlier this year.

所以我觉得有意思的是，这些公司实际上在卖什么。现成的数据集卖给多个客户，毛利率大概在80%到90%。Micro One去年九月以5亿美元的估值完成了A轮融资，最近可能又以更高的估值融了一轮，不过具体数字没有公开。

So what's interesting to me is what these companies are actually selling off the shelf datasets sold to multiple customers are about 80 to 90% gross margin, and Micro One raised their series A at a $500,000,000 valuation last September, and they might've also recently raised again at a higher mark, although it wasn't exactly disclosed.

这其实是我正在做的领域。

This is actually an area that I'm working in.

我主要和播客主以及有视频采访内容的人合作。

I'm specifically working with podcasters and people that have video interviews.

我合作的一批公司，我们授权数据给他们，然后他们会购买数据集，这些数据集主要是高质量音频和视频里人们说话的内容，用来训练通用模型。

I have a bunch of companies that I work with where we license data to them, and then they they'll, you know, purchase data sets of essentially people talking in high quality audio and video to help train general purpose.

不是用来制作人的视频或语音克隆，而是帮助训练AI模型如何说话、对话是怎么进行的。

It's not making video or voice clones of people, but it's helping train AI models on how to talk, how conversations happen.

他们把这些数据卖给很多不同的AI公司，这确实非常赚钱，尤其是如果有人有大量多年积累的录音或采访数据。

They sell this to a number of different AI companies, and it's actually a very lucrative, especially if someone has a big dataset of a bunch of, you know, recordings or interviews that they've done over the years.

这是利用你已有的东西赚钱的一个非常好的方式。

It's a really great way to make money from something that you already have.

我觉得很多人已经意识到这一点了，而且这是一个正在快速增长的巨大行业。

I think a lot of people are realizing this, and it is a massive growing industry.

现在这些公司很多不只是卖数据，他们还会给数据做标注，还会处理数据。

Now a lot of these companies here aren't just selling the data, but they're also labeling it, they're also processing the data.

要让这些数据真正能被AI公司用来训练模型，其实有大量的工作要做，所以这里面涉及的东西很多，但归根结底，这绝对是一个巨大的市场，而且增长非常非常快。

There's a ton of work that has to go into actually making this data usable for AI companies when they're training their models, and so there's a lot that goes into it, but at the end of the day, it's just an absolutely massive market that is growing very, very quickly.

有一家叫Every的公司，他们用AI克隆了他们的主编，他们是用3万次编辑来训练这个AI的。

A company called Every has built an AI clone of their editor in chief, and they did that using 30 they trained it on 30,000 edits.

他们的CEO是Dan Shipper，他说他们有一个30人的团队，在自动化了整个文字编辑部门之后，他们成功把员工人数翻了一倍。

Their CEO is Dan Shipper, and he says that they have a 30 person team, and they were able to double their headcount while they automated all of their copy desk.

他们建了一个智能体。

They built an agent.

Kate Lee是他们的主编，他们建了一个智能体，把Kate Lee的所有编辑风格都克隆了下来，这真的很厉害。

Kate Lee was their editor in chief, and they built an agent that cloned all of Kate Lee's editing, which is very wild.

他们的CEO说，我们有一位非常出色的主编Kate Lee，多年来我一直想用一种非常善意的方式把她从工作中解放出来。

Their CEO said, we have an editor in chief, Kate Lee, who's fantastic, who I've been trying to automate out of a job for years in an extremely benevolent way.

我觉得他们确实是善意的，因为她有太多工作要做了。

I mean, I think they're benevolent because she has a lot of work to do.

但他们把她那三万条历史编辑记录全部收集起来，这些记录来自她作为主编的工作，用来训练一个内部编辑代理，这个代理会根据她过去的工作进行回溯测试。

But every single collected one of her 300 or of her 30,000 historical edits, and from being an editor in chief, they were used to train an internal copy editing agent that back tests against her past work.

所以它会去编辑一些内容，然后检查一下，你知道，根据她过去的工作，这个会不会被批准？

So it will go and edit something, and then it will go check, you know, based off her past work, would this be approved?

这个行不行？

Would this work?

就像我提到的，这家公司去年从大约15人翻倍到了大约30人。

The company doubled, like I mentioned, from about 15 people to about 30 people over the last year.

他们运营着六个软件产品，还有一份每日通讯，而且他们还有那种打包订阅，人们会订阅他们不同的新闻项目。

They're running six software products, and they also have a daily newsletter, and they have kind of a bundle of, you know, people subscribe to a bunch of their different journalist endeavors.

他们在2020年就能启动，而且从那以后没有融过资，或者说没有融很多风险投资。

They're able to launch in 2020, and they haven't raised any or they haven't raised a lot of venture funding from that.

但我就是觉得这是个挺有意思的地方，你知道吗。

But I just think this is an interesting place, you know.

我显然有aichatdaily.com，那是我自己的新闻网站，你可以在那里深入了解我在这里谈到的所有内容。

I obviously have aichatdaily.com, which is my own news site where you can get deep dives on all of this content that I'm talking about here.

我有文章详细介绍了所有这些故事的更多信息。

I have articles breaking down way more information on all of these stories.

所以如果你有兴趣把这些内容发到你的邮箱，aichatdaily.com上其实有一份通讯，你可以去订阅，然后就能收到所有这些故事和深度分析，直接发到你的邮箱里。

So if you're ever interested in getting that into your inbox, there's actually a newsletter on aichatdaily.com where you can go subscribe and and get get all of these stories and deep dives into your into your inbox as a newsletter.

但我用的流程也很类似，我有AI代理，它们担任编辑、作者、审稿人。

But I use a very similar process where I have, you know, AI agents that are editors, writers, reviewers.

我们会去找内容来写，我觉得新闻流程中有很多环节，有很多方法可以帮助自动化那些真正在做实际工作的人，加快一些比较慢的部分。

We go and source content to write about, and I think so much of the news process, there's so many ways to help automate real people that are doing real work in this area to help speed up some of the some of the slower parts.

而且，对于那个可怜的编辑，她一个人要编辑30个人的内容，我敢肯定她很高兴能拿回一些时间。

And, I mean, in the case of this one poor editor who's trying to edit for 30 people, I'm sure she's thrilled to get a little bit of her time back.

非常感谢大家今天收听这个播客。

Thanks so much everyone for tuning into the podcast today.

如果你有兴趣加入AI Hustle School社区，请留意一下。

Make sure if you're interested in getting access to the AI Hustle School community.

一旦达到一千个用户，我们就会开始收费。

Once it reaches a thousand users, we're gonna make it paid.

现在加入是免费的。

It's free to join right now.

所以如果你感兴趣，就去看看吧。

So if you're interested, go check it out.

链接在描述里，教你如何用AI工具发展和扩大业务，我们下期再见。

It's linked in the description, how to grow and scale your business using AI tools, and I'll catch you guys all in the next episode.