Anthropic 发布 Opus 5.5，OpenAI 推出新模型

欢迎收听本期播客。

Welcome to the podcast.

今天Anthropic和OpenAI都发布了重磅新模型。

We have two big model drops today from both Anthropic and OpenAI.

我想聊聊这些新模型到底在做什么，以及它们有多重要。

I wanna break down what these new models are doing and, you know, how much of a big deal they are.

第一个是来自Anthropic的。

The first one is coming from Anthropic.

他们刚刚推出了Claude Opus 5.5。

They just launched Cloud Opus 5.5.

我觉得最大的亮点是价格降了20%，而且显然比之前的Opus模型更强。

The big headline I think on it is that it is a 20% price cut, and it is better than, you know, the previous Opus models, obviously.

据说在某些基准测试上比Fable 5还要好，所以有不少值得关注的点。

Apparently it's better than Fable five in certain benchmarks, so there's a bunch of interesting things going on there.

OpenAI这边也刚发布了GPT-6 SOL和Luna，这两个算是他们的第二和第三梯队模型，虽然不是最强的，但也挺重要的。

We also have OpenAI that has just shipped GPT-six SOL and Luna, so that's their two, I don't wanna say like worst models, but like not the, not their number one model, but their number two and number three models.

而且API价格也会是5.6系列模型的一半。

That is also gonna be half the API prices of the 5.6 series models.

所以模型更好，价格更便宜，但这两个都不是他们的顶级前沿模型。

So better models, cheaper prices, but both of these cases aren't their like big frontier models.

不是他们的头号模型，只是更小、更高效、更快、更便宜的模型。

It's not their number one models, it's just the smaller models that are more efficient and faster and cheaper.

所以，我们要来看看大家在X上对这些模型的评价。

So, we're gonna get into what everyone is saying about them on X.

还有一件事我想提一下，我每周都有一个叫AI Hustle的社群，在那里我会分享如何用AI工具来发展和扩大我的业务。

One thing I wanted to mention is every single week, I have a school community called AI Hustle, where I talk about how I grow and scale my businesses using AI tools.

这些都是我不能公开分享的内容。

It's all the stuff I can't share publicly.

如果你一直想用AI创业，或者想用AI工具来发展现有业务，我非常希望你能去看看AI Hustle School这个社群。

If you've ever wanted to start a business with AI or grow an existing business that you have with AI tools, I'd love for you to go check out the AI Hustle School community.

链接在描述里。

It's in the description.

我会把链接放出来。

I'll leave a link.

我们现在大概有1300名成员，那里真的很棒。

We have about 1,300 members and it is an amazing place.

大家都在分享一些非常精彩的见解，关于他们在做的事情、他们的生意。

People are sharing some really incredible insights about what they're working on, their businesses.

我们会分享那些不能公开的干货，比如收入数字、工作流程。

We share all the juicy stuff we can't share publicly, the revenue numbers, the workflows.

而且，里面还有差不多100个视频。

And you know, have like a 100 videos in there.

我每周都会做一个视频，拆解我当周在做的事情。

Every single week I make a video that I break down what I'm working on that week.

这些都在里面。

It's all in there.

AI Hustle School社区的链接就在视频描述里。

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

好的。

Okay.

我们来聊聊Anthropic最近的情况。

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

他们推出的这个新模型，输出token的价格会从每百万25美元降到20美元。

What's interesting on this new model that they've put out is that the output tokens are gonna drop from 20 per million, or they're gonna drop to $20 per million from 25.

所以这是20%的降价。

So that's a 20% price improvement.

这个新模型在不少编程和知识任务上，表现也会比更大的Fable模型更好。

This new model is also gonna be better than the larger Fable model on a bunch of different coding and knowledge tasks.

很多时候他们发布这些消息，用的都是他们自己的内部基准。

A lot of times when they're announcing these things, it's kind of their internal benchmarks.

所以我想提醒一下，这里要小心一点。

So I would just say, you know, a word of, a word of caution there.

这不一定是一个大家都会认同的说法。

Not necessarily something that's going to be, you know, universally agreed upon.

很多时候他们发布模型的时候，就喜欢告诉大家他们内部觉得自己的模型有多好。

A lot of times when they drop the model, they just like to tell everyone how good they internally have found their model.

我不是说他们一定在这么做，但这确实挺常见的。

I'm not, you know, I'm not saying they're doing that, but this is kind of kind of common.

不过有意思的是，Opus 5.5 在 Opus 5 发布后仅仅两个月就出来了，Opus 5 是 7 月 24 号发布的。

One thing that is interesting though, Opus 5.5 is coming out just two months after Opus five, which was in July 24 that came out.

所以，他们确实在模型上取得了相当扎实和稳定的进步。

So, I mean, they're making pretty pretty solid and steady improvements on the models.

两个月后，他们就有了 5.5 版本。

Two months later they have, you know, after five, they have 5.5.

所以他们动作很快。

So they are moving.

作为一家试图引领前沿的公司，他们确实在全力推进。

They're they're really pushing as far as a company that's trying to quote unquote pace the frontier.

感觉他们前进的速度非常快。

It feels like they are moving at a really fast speed.

Sonnet 5.5 和 5.5 Haiku 也会在接下来的几周内推出，而且据说它们都会有非常相似的改进。

Sonnet five point five and five point five Haiku are also gonna come in the coming weeks, and they both will apparently have very similar improvements.

我觉得有意思的是，而且说实话我也不太喜欢这一点，就是这可能正好说明了模型训练过程有多么不同，或者说他们用的数据集有多么不同。

What's interesting to me, and also, I don't know, I actually don't love this, is the fact that, and maybe it just goes to show like how drastically different the training process is for the models, or maybe the datasets that they're using.

但我不太喜欢的是，我们原本有Anthropic的三个模型，三个不同的档次，你知道的，低、中、高，而且在每个档次里，你还可以调整智能水平。

But the thing I don't love is that we went from Anthropic having like three models, three different tiers, you know, low, medium, high, and inside of each tier, can kind of like crank up the intelligence level.

然后现在我们又加了一个全新的层次，我们本来只有Haiku、Sonnet、Opus，然后我们加了Fable，而且还有Mythos，就是那个超级黑客编程的模型，你知道的，没人能访问。

And then now we have added the whole new level, which was we went from just having, you know, a haiku, sonnet, Opus, then we added Fable, and on top of that we have Mythos, which is like the super hacking coding one that, you know, no one can get access to.

总之，Anthropic实际上有五个模型，不过我怀疑Mythos和Fable是同一个模型的不同变体，只是有不同的护栏或限制，但他们给它们起了不同的名字，所以就像是在说，别担心，我们只把危险的那个给那些经过批准的人。

Anyway, so really Anthropic has like five models out there, although I suspect that Mythos and Fable are like some variation of the same model, just with different guardrails or limitations, but they give them different names, so it's like, no, don't worry, we only give the dangerous one to people that approved.

但不管怎样，他们基本上有五个模型，当你试图记住这些名字的时候，真的会变得很烦人、很复杂。

But in any case, I mean, they basically have five models and it gets really annoying and complicated when you're trying to remember the names.

OpenAI 因为这件事被批评了很长时间，因为我们有GPT-3和GPT-3.5，然后还有各种随机的名字，比如GPT-4。

OpenAI was accused of this for a very long time because we had, you know, GPT-three and GPT-3.5, and then we had, you know, all sorts of random names in there, GPT-four.

我是说，命名方式变得有点荒谬了，所以看起来OpenAI在某种程度上是在模仿Anthropic，因为他们也有小、中、大三种模型尺寸。

Like, I mean, it just, it got a little ridiculous with the naming conventions, and so it seems like OpenAI is copying Anthropic in a sense that they have kind of the small, medium, and large model sizes.

感觉Gemini也是这么做的。

It feels like Gemini did the same thing.

所以我们也有类似的想法，我觉得OpenAI这样做挺好的，他们基本上把模型分成了Soul、Tear、Luna和Astra这几个系列，所以我想他们也有四个模型。

So we, we have kind of the same, I guess we have the same idea, and I do appreciate that OpenAI feels like for what it's worth, they sort of branded down to like kind of their like Soul and Tear and Luna and Astra, so I guess they have four models too.

但我不确定我是否喜欢这样，感觉Anthropic现在有五个模型了，我希望我们能保持简单的三个。

But I don't know if I like this, it feels like Anthropic is now at five models, and I would like us to stick to a simple three.

这个要求过分吗？

Is that too much to ask for?

可能吧。

Probably.

好吧。

Okay.

生物学和网络安全方面的能力与Mythos相当，这触发了Anthropic对Fable模型应用的一系列相同的安全措施。

Biology and cybersecurity capabilities are matching Mythos, and that is triggering a bunch of the same safeguards for Anthropic that they're applying towards Fable models.

所以显然这个模型相当不错，正如你所料，这些模型变得越来越好。

So apparently this model is pretty good as you'd suspect, these things keep getting better and better.

他们今天发了一条推文，说：推出Claude Opus 5.5，这是我们新的Claude 5.5系列中的第一款模型。

They had a tweet that they put out today where they said, Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family.

它在大多数任务上的表现和Claude Fable 5.1相当，而且运行成本比Opus 5低40%。

It performs at the level of Claude Fable 5.1 for most tasks and costs 40% less to run than Opus five.

我觉得这就是重点，Fable 5.1刚出来，他们就说，看，它和Fable 5.1一样好。

And I, that's basically the headline here is, I mean Fable 5.1 just came out and they're like, look, it's just as good as Fable 5.1.

说实话，我现在用的是Fable 5，连Fable 5.1都没用。

Which to be honest, I'm using Fable five, I'm not even using Fable 5.1.

我在Anthropic上大部分事情都用Fable 5，因为用最好的模型太费token了。

I'm using Fable five for most everything on Anthropic, because it just burns through too many tokens to use, to use the best models.

所以我觉得，直接用这个可能会给你带来一些不错的提升。

So, I think that just going with, going with this is gonna probably give you some good boosts.

他们说Opus 5.5是我们自呼吁在Frontier领域保持节奏以来推出的第一款模型。

They said Opus 5.5 is our first model since we called for Pace in the Frontier.

和之前的模型一样，它在发布前经过了外部评估者的测试，包括Meta和Frontier Design。

As with previous models, it was tested by external evaluators before release, including Meta and Frontier Design.

我们最全面的对齐测试取得了有史以来最高的分数。

Our most comprehensive alignment test achieves the strongest score to date.

Opus 5.5 相比 Opus 5 是一个重大升级，在智能体编程、计算机使用和知识工作方面都处于领先地位。

Opus 5.5 is a major step up from Opus five leading leading on agentic coding, computer use, and knowledge work.

Opus 5.5 比 Opus 5 需要的计算资源更少，定价也反映了这一点。

Opus five point five requires less compute to serve than Opus five and pricing reflects that.

不过挺有意思的，因为我觉得我们好像一直在拿到那种超级庞大、效率极低但特别聪明特别好的模型，这当然很棒，无所谓啦。

It's kind of interesting though because, I mean, I I feel like we keep just like getting, you know, the colossal, like a super inefficient model that's like super smart and super good, and that's great, whatever.

但他们总是说，你看，我们刚让 5.5 比 5 更高效了。

But then they're always like, look, you know, we we just made it so five point five is like more efficient than five.

然后我就觉得，随便吧。

And it's like, like whatever.

我的意思是，这不过是旧模型的一个变体，你只是给我们更高效的旧模型，但新模型呢，不像 OpenAI 的 Astra 或者 Mythos 发布的时候，他们会说，这是 Mythos，最聪明的模型，而且效率高得多。

I mean, it's just a variation of the older, like you're just, you're giving us more efficient, but like older models, but the newer models, it's not like when, you know, OpenAI's Astra or like Mythos comes out, they're like, here's Mythos, the smartest model, and it's like way more efficient.

但事实是，最新的模型总是同样低效，然后他们优化旧模型，让它们更高效，但位置基本没变，我们大概只是在慢慢变得更聪明吧。

Like, no, the newest models are always just as inefficient, and then as they optimize the older models, they get more efficient, but they're they're kind of always in the same place, and we're slowly, I guess, just getting more intelligent.

我觉得没什么好抱怨的。

I don't know if there's much to complain about.

我是说，这很棒，这就是进步的样子，但我不觉得这算什么大新闻，它便宜了40%。

Mean it's great, this is what progress looks like, but I just don't feel like it's this big headline, it costs 40% less.

这当然很棒，但两个月后新一代出来，我就不会用这个便宜40%的了，因为跟新的比起来它就显得过时了，所以无所谓。

It's like fantastic, until two months later when the next one comes out, and then I'm not gonna be using this 40% less one because it's gonna seem dumb compared to the new one, so whatever.

我扯远了。

I digress here.

他们说，在默认的努力设置下，Opus 5.5 以每任务成本的一小部分就能达到前沿水平，常常击败其他模型在最高设置下的表现。

They said, at its default effort settings, Opus 5.5 delivers frontier results for fraction of the cost per task, often beating other models running at their highest settings.

它的输出速度也比 Opus 5 快了30%以上。

It also generates outputs more than 30% faster than Opus five.

对于这一点，我确实要说，无论哪天你告诉我模型效率高或低，但如果它快了30%，我会说恭喜，我真的很兴奋。

And for that, I will actually say any day of the week, you can tell me how much more efficient or inefficient the model is, but if it is 30% faster, I will say congratulations, I'm actually really excited about that.

我讨厌等待，大家都一样，快30%意味着实实在在节省时间，实实在在的收益。

I hate waiting as we all do, and 30% faster is like real time savings and real gains.

他们还说了，还发了推文，说Opus 5.5交流起来更自然，解决了我们在Opus 5上听到的一些最常见的反馈。

They also said, they also tweeted, Opus 5.5 communicates more naturally, addresses some of the most common feedback we've heard on Opus five.

它把最重要的信息放在前面，并且遵循你给它的写作规则，这让长时间的会话更容易跟上。

It puts the most important information upfront and follows the writing rules you give it, which makes long sessions easier to follow.

他们说这些进步加在一起，让5.5成为一个明显更好的协作伙伴，我们很期待看到大家用它构建什么，等等等等。

They said together these advances make it, you know, 5.5 a noticeably better collaborator, we're excited to see what build, blah, blah, blah.

他们发了一整篇帖子。

They got a whole post on there.

而且我们确实看到马斯克说了恭喜。

And we do have Elon saying congrats.

我觉得挺有意思的，你知道，马斯克本来可能是他们的噩梦，是他们最大的敌人，就像OpenAI那样。

I think it's kind of funny, you know, Elon could have been their worst nightmare, their biggest enemy kind of like OpenAI.

但可能是因为，我猜，你知道，他早期没有投资他们，然后他们把他从交易中踢出去了，所以那大概会让任何人都不爽。

But because, I mean, I guess, I guess, you know, he didn't invest in them early on and they kind of cut him out of the deal, so that would probably make anyone salty.

但他们也是他在Colossus数据中心最大的客户之一，他们每月付给他近十亿美元，或者可能略超过十亿美元，用于算力。

But they're also one of his biggest customers at his Colossus data center where they pay him almost $1,000,000,000 a month or maybe a little over $1,000,000,000 a month for compute.

所以每次Anthropic推出新模型，Elon都会说恭喜。

So anytime Anthropic comes out with a new model, Elon's saying congrats.

每次Sam Altman推出新模型，感觉Elon都在说，你从我这偷走了这家公司。

Anytime Sam Altman comes out with a new model, it feels like Elon is saying, you stole this company from me.

总之，我很喜欢所有这些下面的评论，是的，评论基本上就是你想的那样。

So anyways, I I do appreciate the comments section on all of these, and yeah, the comments are are pretty much what you'd expect on all that.

好的。

Okay.

不过我们还有来自OpenAI的大新闻，他们不甘示弱，也发布了他们所谓的第二梯队模型的改进。

We also have big news though out of OpenAI, who not to be outdone, released their own improvements on their tier two, I guess you could call them models.

你猜怎么着，这一切都是在Anthropic发布后一个半小时或九十分钟内发生的，OpenAI也出来发布了他们的新更新。

And get this, this all came out an hour and a half or ninety minutes after Anthropic put theirs out, OpenAI came out and put their their new update out as well.

所以他们推出了GPT-six SOL和Luna，API价格减半。

So they shipped GPT-six SOL and Luna, it's half the API price.

所以我觉得OpenAI或者Anthropic的股价跌了40%。

So I think OpenAI or Anthropic went down 40%.

OpenAI 就像在说，看，我们能赢你。

OpenAI is like, look, we can beat you.

我们出50，我们出，你知道的，半价。

We'll do 50, we'll do, you know, half the price.

50%，它是GPT-six Astra所谓的更小的兄弟，而且它会聪明得多，价格也降了，当然，这是在Anthropic发布后仅仅几个小时，所以这里肯定有一点友好的竞争。

50%, it is the quote unquote smaller sibling of the GPT-six Astra, and it is going to be a lot smarter, have the price cut, and of course, yeah, this is coming just a couple hours after Anthropic, so there is definitely a little bit of friendly competition going on right here.

Sol's tar 现在专注于复杂的编码工作。

Sol's tar is right now targeting complex coding work.

Luna 则面向高容量的文书任务，比如做总结和提取信息。

Luna is aimed at high volume clerical tasks, so it's doing things like summarization and extraction.

这两个模型都已经在ChatGPT工作代码和ChatGPT API中上线了，真是谢天谢地，我真的很高兴看到模型发布后能立刻在API里用上。

Both of the models are live in ChatGPT work codecs and the ChatGPT API, which hallelujah, I really do appreciate when we release the model and get it in the API right away.

Luna 也会对免费用户和桌面应用中的Go用户开放。

Luna is also gonna be for free and go users in the Desktop app.

我觉得这很合理，他们想尽快把低端模型带给用户。

I mean that makes sense, they're the lower tier models are gonna get them to people as soon as possible.

OpenAI在推特上发帖说，欢迎新模型GPT-six SOL和Luna，它们基于GPT-six extra的先进技术，把它的很多能力带到了更快、更实惠的模型里，支持大规模工作。

OpenAI tweeting about this said, please welcome the new model GPT-six SOL and Luna build on advances behind GPT-six extra, bringing much of its strength into faster and more affordable models to support work at scale.

我们还让缓存和推理变得更高效，把这些节省直接传递给了你们。

We've also made caching and inference more efficient, and we're passing that savings directly onto you.

Sol和Luna的API价格比GPT-5.6的促销价低了50%。

50% lower API prices for Sol and Luna, compared to GPT-5.6 promotional pricing.

还有，这个促销价挺搞笑的，因为感觉就是，随便吧。

Also, the promotional pricing is funny because it's like, whatever.

就是说，比我们给你的价格便宜，而那个价格本身已经是折扣价了，而且我们还有权涨价，不过也无所谓了。

It's just like, it's cheaper compared to the pricing that we're giving you, which is on discount and we, you know, reserve the right to increase, but whatever.

Sam Altman在推特上说，GPT-six SOL和Luna在智能对齐、工作输出、编程、电脑使用等方面，相比5.6系列的前代产品有了大幅提升。

Sam Altman tweeting about this said GPT-six solar and lunar are big improvements on intelligence alignment, work output, coding, computer use, and more over their 5.6 family predecessors.

它们的价格也是每个token便宜一半，每个任务甚至更便宜。

They also are half the price token, and even less per task.

评论里有人说，Maria说，GPT-six SOL是不是就是比Astra差？

Comments on this are, so Maria said, Is GPT-six SOL just worse than Astra?

对，基本上就是这样。

Which, I mean, yeah, basically.

有人说，让GPT-six SOL在浏览器里打开画图工具，试着给你画一幅画，然后他们有一张图，据说是它正在画的样子，看起来很不错，但我就是觉得那很可能是假的。

Someone said, tell GPT-six SOL to open Paint in a browser and try to draw you, and they have image where it's allegedly doing that, and it looks great, but I just feel like it's probably pretty fake.

Sam Altman转发了各种不同的内容。

There is Sam Allman retweeting a bunch of different stuff.

所以是的，看起来这周基本上每家都推出了好多新模型。

So yeah, it looks like we have, you know, a whole bunch of new models coming out from basically everybody this week.

我们看到了Muse Spark的大规模发布，Grok 4.7最近也出来了，还有GPT-six Soul，以及Anthropic的新模型。

We had a massive launch from Muse Spark, we had Grok 4.7 that recently came out, we had GPT-six Soul, we had the new models from Anthropic.

所以看起来这周我们有很多新模型要测试。

And so, it appears like we have a whole bunch of new models to test out this week.

我已经试玩了好几个了。

I've been playing with a handful of them.

不过这些是大约三个小时前才发布的，所以它们还挺新的。

These ones just came out though about three hours ago, so they're pretty new.

大家都在分享他们用这些模型做出来的例子。

People are sharing some of the examples of things that they're doing with them.

但说到底，我觉得这些例子，就像每次有这种，怎么说呢，二线或者三线模型出来的时候，其实没那么让人兴奋。因为当他们说“看，我们出了全新的Astra模型”的时候，大家就都去试他们的演示，然后说“看，我用它一次就搞定了这个疯狂的游戏，我还用它重建了GTA6”之类的，大家都在做各种疯狂的演示，因为这是最好的模型，所以大家都在挑战它的极限。

But at the end of the day, I think these examples, like anytime we have these kind of like, I guess you'd call them tier two models, or tier two and tier three models coming out, it's a little bit less exciting in my opinion, because the, like, when when they're like, oh look, we have the brand new Astra model out, the thing is like, you know, and then everyone's trying their demos, they're like, look, got it to one shot this crazy game and it, I rebuilt GT, you know, GTA six with it, and blah blah blah, and you know people are just doing their wild demos, because it's the best model, so they're pushing it to limits.

但这些新模型出来的时候，没人会说“嘿，大家看看我怎么用它在我原来做的那些无聊又单调的任务上省了40%的时间”。

When these new ones come out, no one's like, guys, check out the way that I like saved 40% on like the task that I was already doing that's kind of like boring and mundane.

我觉得那些才是行业里真正的进步，人们从中获得了很大的价值，但你看到的更多是没那么激动人心的东西。

Like, I think that those are real improvements in the industry and that people are getting a lot of value out of them, but you just see less exciting less exciting stuff.

而且说到底，当你token不够用的时候——我经常这样——我都是用ChatGPT Work来帮我完成很多工作。

And at the end of the day, when you're low on tokens, which happens to me constantly, like I'm using ChatGPT work to get a lot of my work done.

基本上，我觉得它现在就是我的主力电脑使用模型。

It's basically I think my like prime, you know, computer use model right now.

但我两天就能把所有的token用完，然后就得等重置，这时候我就只能换到Claude，或者现在用Muse。

But I'll burn through all of my tokens in two days, and then I have to wait for reset, which I just inevitably switch over to Claude, or now Muse.

Muse真的很不错，得好好夸夸Muse。

Muse is actually, big shout out to Muse.

他们做得太棒了。

They're doing amazing.

我从来没想过会这样评价Meta的产品。

Never thought I'd say that about a Meta product.

如果还没试过的话，赶紧去试试吧。

Go try them out if you haven't already.

而且是免费的，就像Claude、Co-Work和Jetchipi Work一样。

It's free, and it's like Claude, co work, and Jetchipi work.

不过话说回来，确实，那些更好的模型有更炫酷的演示，但我觉得一旦我，比如，把最好的模型，像Astra的额度都用完了，我就会去用他们新推出的这些模型。

But in any case, yeah, the the better models, they have the splashier demos, but I think once, for me, like when I run out of all the credits on the best models, like the Astras, I'm gonna go down to these new models that they've launched.

我会用GPT-6 Soul和GPT-6 Luna，我是说，看还剩多少额度，如果我真的，你知道，真的惨到只剩5%的额度，我可能就会把所有东西都切到Luna上，只偶尔问几个问题。

I'm gonna be using GPT-six Soul and GPT-six Luna, I mean, depending on how many credits, if I'm really, you know, if I'm really hurt and bad with five percent credits left, I'll probably just, you know, switch everything off to Luna and only try to ask a few questions here and there.

我觉得可能很多人，如果他们用的是这种有补贴的订阅计划，他们也会这么做，而且这其实是很多这类模型的最佳使用场景。

I think probably a lot of people, if they're using it with these kind of subsidized subscription plans, they'll be doing that, and it's kind of the best use case for a lot of these.

但对于大型企业来说，当你有大规模项目，而且不需要最强的推理模型时，我觉得这些模型在很多不同的任务上都会表现得很出色。

But for big enterprises, when you have massive scale projects and you don't need the best reasoning model, I think that these models will do great for a lot of different tasks.

各位，非常感谢你们收听本期播客。

Guys, thank you so much for tuning into the podcast.

如果你想加入Skool社区，我每周都会在那里分享我是如何用AI工具发展和扩展业务的，包括我使用的所有AI工具、我的不同业务赚了多少钱、我的各种副业，以及我如何帮助人们成为AI顾问并通过AI赚钱，那就去加入AI Hustle School社区吧。

Make sure if you want to, if you wanna join the Skool community, where I talk every week about how I'm growing and scaling my business with AI tools, all the AI tools I use, how much revenue my different businesses are making, all my different side hustles, and how I'm helping people become AI consultants and make money with AI, go join the AI Hustle School community.

每个月只要19美元。

It's only $19 a month.

我把价格定得非常实惠，链接就在描述里。

I made it super affordable, and it is linked in the description.

好了。

All right.

我们下期节目再见。

Catch you guys all in the next episode.