Anthropic的100亿美元云交易，埃隆·马斯克谈特斯拉的人工智能

Anthropic 刚刚与 Volta 签署了一份价值 100 亿美元的云服务协议，用于在挪威建设数据中心。

Anthropic has just signed a $10,000,000,000 cloud deal with Volta for a Norway data center.

埃隆·马斯克在最近的特斯拉财报电话会议中，几乎有一半时间都在谈论人工智能和机器人技术。

Elon Musk spent almost half of the recent Tesla earnings call talking about AI and robotics.

Mistral 正在考虑以 230 亿美元的估值进行融资，因为美国的出口限制让欧洲开始认真思考开放权重的人工智能。

Mistral is looking at doing a $23,000,000,000 valuation as US export limits are making Europe really think about open weight AI.

AMD 刚刚承诺向 Anthropic 提供高达 50 亿美元的芯片交易，涉及 2 吉瓦的算力，而谷歌的冷冻 v2 芯片有望为 Gemini 带来 6 到 10 倍的效率提升。

AMD has just committed up to $5,000,000,000 to Anthropic in a two gigawatt chip deal, and Google's frozen v two chip is looking at a six to 10 x efficiency gain for Gemini.

在播报新闻之前，我想分享一下过去两个月我特别喜欢的一个 Claude 使用案例，那就是用 vibe coding 的方式开发我自己的 iOS 和 Android 应用。

Before the news, I wanted to highlight one of my favorite Claude use cases that I have been up to over the last two months, and that is vibe coding my very own iOS and Android app.

这是一个圣经学习指南应用，已经花掉了我数百万个 Claude 代币。

It is a bible study guide app that has cost me millions of Claude tokens.

我甚至不得不订阅两个 Claude Max 的 200 美元月费套餐才能跟上进度，因为需要写的内容实在太多了。

I actually had to get two Claude Max, $200 a month subscriptions to keep up with it because there was so much content to write.

我最终写了超过 1200 章指南，涵盖了圣经中的每一章。

I ended up writing over 1,200 chapter guides, so every single chapter in the bible.

里面有个学习指南，把历史背景、时代语境以及书中人物的来龙去脉都拆解得很清楚。

There's a study guide that breaks down the history, the context, the backgrounds of the people in it.

我去大都会博物馆和其他几个著名美术馆爬取了所有图片，收集了过去一千年里那些令人惊叹的基督教艺术作品并加进去，然后做了索引，确保每张图片都能对应到它描绘的那一章。

I went and scraped all of the images from The Met and a bunch of other famous museums to get the last thousand years of incredible historical Christian artwork and add it in there, and then I indexed it so every single image went to the chapter that it was painted about.

所以当你阅读这份学习指南时，里面会配有各种相关的画作插图。

So when you read the study guide, there's paintings of all of this stuff in there.

我确实花了很多心思，力求在内容中融入更多的人文气息和人情味。

I really tried to put a lot of the human element and the human touch in there.

而且它也很直白地说明这是 AI 生成的，能真正帮人们借助 AI 来理解内容。

While it's also pretty upfront that this is, you know, AI generated and really helps people understand things with AI.

你还可以点击任意单词获取解释，或者选中某节经文查看背景说明，了解当时发生了什么以及具体的语境。

You also have the ability to click on any word, get an explanation of it, and any verse and get a background explanation on what is happening in the verse and the context there.

这个项目我断断续续做了好几个月，但花了很多心思在界面设计上，力求美观又高级。

This is something I've been working on for many months, but I spent a ton of time making this look beautiful and super aesthetic.

所以如果你对研读圣经感兴趣，这个应用完全免费。

So if you're interested in studying the bible, this is completely free.

没有任何广告。

There's no ads.

这纯粹是我出于热爱而做的。

This is just a labor of love for me.

去看看吧。

Go check it out.

我会在描述里留个链接。

I'll leave a link in the description.

就算你对这个应用本身不感兴趣，也建议你去看看那个页面，感受一下用Claude能做出什么样的品质。

And if you're not interested in the app per se, would still go look at just the page if you wanna see the quality of what you can build with Claude.

除了那些历史艺术作品之外，从App Store截图到所有图形和图片，全都是AI生成的。

Everything from the screenshots on the App Store listing to all of the graphics and images were all generated by AI other than, of course, all of the historical artwork.

所以去看看吧。

So go check it out.

网站是learnofchrist.com，不过我会在描述里放上应用下载的链接。

It's learnofchrist.com is the website, but I'll leave a link in the description to the actual app to download.

这一切都是用Claude构建的。

All of it was built with Claude.

Anthropic刚刚从Volta锁定了价值100亿美元的算力。

Anthropic just locked in $10,000,000,000 worth of computing power from Volta.

这家公司今年才成立。

This is a startup that was founded just this year.

他们为自己购买了六年的算力，但对我来说，看到一家今年刚成立的公司，Anthropic却从他们那里购买算力，而不是自己搭建，这真的很震撼。

They purchased six years worth of compute for them, but for me, it's pretty wild see a company starting this year and Anthropic is going and buying the compute from them versus Anthropic trying to stand this up themselves.

比如，现在有两种不同的策略正在显现。

Like, opening up, there's two different strategies that we're seeing right now.

我认为这恰恰说明了这些AI实验室获取芯片产能有多难。

I think this is just showing how hard it is for basically all of these AI labs to get chip capacity.

我觉得德克萨斯州也刚刚禁止了所有新的数据中心，同时他们正在审计所有电网。

I think Texas also just banned all new data centers while they go and audit all of their grids.

所以数据中心面临很多阻力，如果你能获得访问权限，能获得不同地方的监管批准，我认为像Anthropic、OpenAI这样的公司，包括Meta，都会疯狂抢购尽可能多的带宽。

So there is a lot of headwinds for the data centers, and if you're able to get access, if you're able to get approval, and regulatory approval in different locations, I think companies like Anthropic, OpenAI, they're just gonna swoop up and get as much, bandwidth as they can, Meta included.

这次算力交易大概会达到133兆瓦。

This compute deal in particular is gonna be about a 133 megawatts.

数据中心位于挪威。

It's the a data center in Norway.

它最初是为加密货币矿商Biddir建造的，现在由英伟达最新的人工智能芯片Vera Rubin提供动力。

It was originally built with crypto miner Biddir, and it was and it's now powered by NVIDIA's newest AI chip, the Vera Rubin.

Volta以24亿美元的估值筹集了资金。

Volta raised $2,400,000,000 for their valuation.

他们的业务很大程度上依赖于与Anthropic的这一份合同。

They're based largely on this one Anthropic contract.

所以，Anthropic给他们一份合同。

So, like, Anthropic gives them a contract.

他们就能筹到大量资金去为他们建设。

They're able to raise a ton of money to go and build it for them.

我认为，这对于一些新兴的GPU云初创公司来说，是非常典型的情况。

This is, I think, very something very typical for some of these new GPU cloud startups.

他们都在争夺AI实验室的客户，如果能拿到合同，就能筹集更多资金来建设所需的基础设施。

They're all competing for AI lab customers, and if they can get the deal, then they can raise more money to build, what they need.

Anthropic现在把计算资源分散在多个不同的平台上。

Anthropic right now is spreading their compute across a bunch of different platforms.

你可能听说过很多交易，但AWS是最早的合作伙伴之一。

So you've probably heard a lot of the deals, but AWS is one of the OGs.

其实谷歌云才是最早的。

Google Cloud is actually the OG.

他们是最先给Anthropic提供3亿美元的公司，当时Anthropic规模还小得多，这笔钱看起来简直不可思议。

They were the first ones to give them $300,000,000, which seemed like an insane amount of money when they were a much, much smaller company.

SpaceX也和他们签了大单，每月支付近10亿美元，现在又加上Volta。

SpaceX and has signed a big deal with them where they pay them almost $1,000,000,000 a month, and now Volta.

我觉得所有这些都降低了风险，避免在重大模型发布或使用量激增时，单一供应商出现资源短缺的情况。

All of this, I think, is reducing the risk that any one single provider is going to run short if there's a major model launch or their, you know, their usage is really ramping up.

他们有亚马逊、谷歌、SpaceX、Volta，我相信他们还会继续拓展更多合作伙伴。

They have Amazon, they have Google, they have SpaceX, they have Volta, and I'm sure they'll roll out more.

挺有意思的，因为感觉 OpenAI 和其他一些公司受到的限制可能多一点，或者说他们能用的供应商比较少，正打算自己建基础设施。所以接下来看看这两种策略哪种更管用，会很有意思。

It's interesting because OpenAI and some others feels like they might be a little bit more restricted or they might be, you know, they have less providers and they're trying to build it out on their own, so it'll be interesting to see which of these two strategies works the best.

现在的 AI 实验室早就不是只靠那几家云巨头了，只要能把专用算力提前锁定好几年，他们愿意付很高的溢价，大概每兆瓦每年 1250 万美元。

AI labs right now are going way past just relying on a handful of cloud giants, and they're willing to pay premium prices, about 12,500,000, per megawatt per year if they can lock in dedicated capacity years ahead of time.

所以情况可不是简单的说句：嘿。

So it's not just like, hey.

我们今年就按这个价格付钱。

We'll, you know, we'll pay this price today.

这就好比说，我们今天先付这个价，往后六年都按这个算。他们真正想要的，就是这种长期的算力保障。

It's like, we'll pay this price today and for six years, and that's what they're really looking for is this extended capacity.

埃隆·马斯克现在大概有一半的特斯拉财报电话会议时间都在聊AI和机器人。

Elon Musk is now spending about half of his Tesla earning calls talking about AI and robotics.

这是根据他最近参加的那次财报电话会的内容。

This is according to the last earnings call he was just on.

他当时提到了新款的Optimus机器人。

He was talking about the new Optimus robot.

这比2022年的15%到20%有所上升，所以他在财报电话会议上谈论机器人和人工智能的时间确实在增加。

This is up from 15 to 20% in 2022, so the amount of time he spends on the earnings call talking about robots and AI is definitely accelerating.

汽车显然是主要的收入来源，大约占特斯拉收入的70%。

The cars are obviously the main driver of revenue, about 70% of Tesla's revenue.

但我认为这恰恰说明了埃隆·马斯克认为特斯拉的未来在哪里，价值将如何增长，以及股票在市场上是如何定价的。

But I think this really just goes to show you where Elon Musk's believes the future of Tesla is, where the value is going to grow, how the stock is, you know, being priced in the market.

Optimus，也就是特斯拉的人形机器人，在2025年第三季度的电话会议上，几乎占了他所有评论和讨论内容的三分之一，而三年前这个比例还不到2%。

Optimus, which is Tesla's humanoid robot, consumed nearly a third of all of the, comments and things that he was talking about on the q three twenty twenty five call versus about 2% or less just three years ago.

所以这已经成了一个经常被提及的话题。

So this is something that is just being talked about all the time.

很多其他特斯拉高管，比如首席财务官和工程副总裁，仍然把大约30%的电话会议时间花在汽车和制造上。

A lot of other Tesla executives like the CFO and the VP of engineering still spend about 30% of their call on cars and manufacturing.

这比2024年的50%有所下降。

That's down from 50% in 2024.

当然，我知道这听起来有点离谱。

And, of course, I know this is ridiculous.

我知道大家可能会笑话我，因为我一直在分析财报电话会议上大家谈论不同话题的时间比例。

I know people are, like, laughing at me for talking about the percentage of time that the people on the earnings call talk about different topics.

但是，朋友们，这真的能反映出公司的优先事项，我觉得你可以从中很好地了解公司的发展方向、目标以及他们接下来要做的事情。

But, guys, this really goes to show where the priorities are, and I think you can get a pretty good understanding of the direction the company is pushing in and the, the objectives and the the things that they're gonna be working on.

特斯拉上个季度交付了大约50万辆汽车。

So Tesla shipped about 500,000 vehicles last quarter.

显然，他们仍然主要依靠汽车销售来获取大部分收入。

They're continuing to to rely on car sales, obviously, for most of the revenue.

很多人说这让他们对汽车业务感到悲观，而我认为大多数人其实是对机器人技术非常看好，或者至少是对特斯拉将投入其中的精力和时间感到乐观。

A lot of people are saying this is making them bearish on the car segment, while I think overall most people are saying this is just making them very bullish on robotics, or at least the the amount of focus and time that Tesla's gonna put into that.

Mistral，一家法国的人工智能实验室，正在以230亿美元的估值进行融资。

Mistral, which is a French AI lab, is raising funds at a $23,000,000,000 valuation.

我之前在播客里提到过，他们一直在考虑这件事。

I've talked about this on the podcast before that they were looking at it.

现在看来，这件事已经正式敲定并正在进行中了。

It looks like it's officially in the books and happening.

这大约是去年估值的两倍，去年是135亿美元。

This is about double their last year's valuation, which was $13,500,000,000.

当然，还有美国所有的出口管制限制。

There's, of course, all of The US export control limits.

还有所有这些美国公司发生的安全事故。

There is the whole safety incidents that are all happening in all of these American companies.

OpenAI和Anthropic都在说，看，我们的模型正在突破沙箱，入侵公司，各种疯狂的事情都在发生。

OpenAI and Anthropic are both saying, like, look, our models are breaking out of our sandboxes and hacking companies, and all this wildness is going on.

正因为如此，公司和各国都在推动欧洲采用开放权重模型。

Because of that, companies and countries are pushing Europe towards open weight models.

这当然是指代码公开可用的AI系统，不一定像开源那样整个模型和构建方式都公开，但开放权重意味着你不一定告诉人们如何训练模型、训练代码，但你让人们下载模型，他们可以运行模型，你给他们权重，这样就能在自己的电脑上运行。

This is, of course, the AI system where the code is publicly available, not necessarily how you so open source would be when the whole model and how you built it is publicly available, but open weight means you you don't tell people necessarily how you train the model, the code to train it, but you let people download the model, they can run the model, you give them the weights, and so it all works on your own computer.

他们之所以让这一切公开，是因为对美国公司的一些担忧和所谓的风险。

They're making this all publicly available, because of some of their worries and and some of the risks, alleged risks with the American companies.

Mistral公司的收入在过去一年里增长了大约20倍，因为他们与法国政府、微软、汇丰银行达成了一系列交易。

The company's revenue at Mistral has jumped about 20 x in the last year because they've done a bunch of deals with the French government, with Microsoft, with HSBC.

而且因为OpenAI和Anthropic的模型受到各种出口限制，特朗普就跳出来说，嘿，你看，Anthropic不能发布他们的Fable 5模型，太危险了，等等等等。

And because of all of these kind of export restrictions on OpenAI and Anthropic's models, like Trump came out and was like, hey, you know, like Anthropic can't push out their Fable five model, it's too dangerous, yada yada.

所以他基本上禁止了所有其他国家使用这个模型，哪怕他们可能想用。

So he basically banned it for all the other countries, even if they might have wanted to use it.

所以我觉得这让很多人心里很不舒服，他们就说，看，我们需要一个欧洲的创造者或者欧洲的模型，这样美国人不能随便给我们关掉。

And so I think that put a bad taste in a lot of people's mouth, and they're like, look, we we need like a European creator or European model that isn't the Americans can't just shut off for us.

所以，从地缘政治的角度来看，我觉得这挺好的。

So, I mean, think from a geopolitical perspective, this is great.

而且我很喜欢这种竞争。

And I I love all the competition.

我很高兴不只是OpenAI和Anthropic在引领AI的发展。

I love that it's not just gonna be OpenAI and Anthropic leading the AI charge.

我希望看到尽可能多的竞争者加入进来。

I wanna see as many competitors in this as possible.

所以，我个人其实挺满意这个局面的。

So I, for one, am actually pretty happy with this.

Mistral基本上调整了策略，不再只拼原始性能，而是为特定行业打造更小的定制模型。他们瞄准了制造业、金融等领域，同时还提供托管云服务和嵌入式工程团队。不过OpenAI和Anthropic也在做类似的前沿部署工程团队。

Mistral shifted their strategy basically from competing on just the raw performance to building smaller custom models for specific industries, so they're going after things like manufacturing, finance, they're also selling hosted cloud services and embedded engineering teams, but OpenAI and Anthropic are kind of doing that forward deployed engineering teams.

开放权重模型在欧洲乃至全球都越来越受欢迎，但与此同时，中国也涌现出很多更便宜的替代方案。

The open weight model adoption is getting really popular in Europe and in all of, I think, the world, but you also have a lot of these cheaper Chinese alternatives.

比如DeepSeq、最近推出的Quen，还有中国其他很多玩家，这些都让运行这些模型的成本变得非常低。

You have DeepSeq, and you have Quen that recently came out, and you have, you know, a lot of these other players coming out of China, which just make this a very cheap way to run these models.

你可以在自己的设备上运行它们，而Mistral也想加入这个行列。

You can run them on your own devices, and Mistral is trying to get into that mix.

AMD将向Anthropic投资50亿美元，并提供2吉瓦的Instinct MI450芯片。

AMD is going to invest $5,000,000,000 in Anthropic, and they're gonna supply two gigawatts of its Instinct MI four fifty chips.

这从2027年开始，但基本上是AMD在AI训练领域与NVIDIA竞争的最大突破口。

This is starting in 2027, but it's it's basically AMD's biggest foothold into AI training alongside NVIDIA.

我认为这很重要，因为这将给Anthropic带来第二个主要的芯片供应商。

This, I think, is important because it's basically gonna give Anthropic a second major chip supplier.

他们正在为Claude构建所需的计算能力和一切基础设施，同时也能让AMD成为前沿AI实验室中NVIDIA的可靠替代选择。

They're trying to build a computing power and everything that's needed for Claude, but they're also, you know, being able to establish AMD as a credible alternative to NVIDIA for Frontier AI Labs.

所以这对AMD来说显然是一笔好交易。

So this is a great deal for AMD, obviously.

对吧？

Right?

他们就像在说，看，Anthropic用的是我们的产品。

They're like, look, Anthropic uses us.

他们可是大玩家。

They're the big player.

我们基本上已经看到其他所有云服务商都在用同样的品牌效应来展示自己。

We've seen kind of the same logo name brand show off for basically all of the other cloud providers.

亚马逊AWS是最有名的例子。

Amazon AWS was kind of the most famous.

他们给了Anthropic一大笔钱，然后宣称Anthropic运行在AWS上。

They gave Anthropic a lot of money and were like, look, Anthropic's running on AWS.

谷歌云也这么干过。

We had Google Cloud that did that.

直到今天，我自己做aibox.ai这个创业项目，用的还是AWS。

And even to this day, I use AWS for my startup aibox.ai.

上面大概有80种不同的AI模型。

You can get like 80 different AI models.

对吧？

Right?

像Anthropic、OpenAI、Gemini、Claude这些，全部打包在一起，一个月只要9美元。

Like Anthropic and OpenAI and Gemini and Claude, like all of them in one place for $9 a month.

但有意思的是，我们的整个后端都跑在AWS上，到现在AWS的销售还经常给我发邮件，说，嘿，兄弟。

But what's interesting is we run our whole back end on AWS, and to this day, we still get AWS reps emailing me all the time being like, hey, man.

如果你想把你用Claude的流量转过来——因为我们得从Anthropic买API额度，再拉到我们的平台上，各家都是这样操作的。

If you wanna move, your usage of Claude off of because we have to go buy like API credits from Anthropic and pull them into our platform and from all the different players.

对吧？

Right?

他们就说，嘿，如果你不想从那边走，直接跟我们AWS买，我们能给你各种优惠，还能送你一些免费额度。

They're like, hey, if you wanna move it off of there and just buy it directly from us, AWS, we can get you all these deals, we can get you some free credits.

他们长期以来一直在提供各种优惠和交易，所以有趣的是，他们都想展示自己的大客户，然后试图从对方那里抢走一些业务。

Like, they have all of these kind of perks that they've been these deals that they've been making for a very long time, and so it's interesting because all of them want to kind of show off the the big player and then try to to get some of the usage from that from out from under them.

所以在这个案例中，特别是AMD，第一个千兆瓦将在2027年上半年部署在AMD的Helio机架规模系统中。

So in this case in particular with AMD, the first gigawatt is gonna deploy in the first half of twenty twenty seven inside of AMD's Helio Rack Scale systems.

第二个千兆瓦会在那之后上线。

The second gigawatt is gonna come after that.

截至五月，Anthropic的年收入达到了470亿美元。

Anthropic's yearly revenue hit $47,000,000,000 as of May.

这比去年全年增长了100亿美元。

That's up 10,000,000,000 for all of from all of last year.

这当然是因为Claude Code在开发者中越来越受欢迎，采用率越来越高。

This, of course, is because Cloud Code is getting super popular, adoption with developers.

我甚至不是开发者，但我每天每时每刻都在用它。

I'm not even a developer, but I use it all day every day.

不过我最近已经转用OpenAI了，我会随时向大家更新我的使用情况。

Although I've recently switched to OpenAI, and I'll keep people updated on on what I'm doing there.

但我正在测试它，结果非常惊人。

But I'm I'm testing it out and seeing some really incredible results.

所以我觉得这里面确实存在竞争。

So I I do feel like there's some competition there.

Anthropic 到 2029 年 5 月，每月在 SpaceX 的 Colossus 1 数据中心上花费约 12.5 亿美元用于计算。

Anthropic is spending about $1,250,000,000 a month through May 2029 on compute from SpaceX's Colossus 1 data center.

他们每年大约花费 150 亿美元，而且他们还与亚马逊、谷歌以及其他许多公司有合作。

They're spending that's about $15,000,000,000 annually, and they also have deals with Amazon, Google, and a bunch of other players.

所以这里投入的资金非常庞大。

So tons is being spent here.

谷歌正在开发一款名为 Frozen v2 的新 AI 服务器芯片。

Google is building a new AI server chip called Frozen v two.

它将运行 Gemini 模型，据说效率比他们现有的芯片高出 6 到 10 倍。

It's gonna run the Gemini models, and apparently it's gonna be six to 10 times more efficient when it comes to what they have for their current chips.

这款芯片将在 2028 年推出。

So this is gonna come in 2028.

这些芯片的发布消息，真的让人挺兴奋的，你会忍不住想，天哪。

All of these chip announcements, like, it's kind of exciting when you're like, oh my gosh.

效率提升了十倍。

10 times more efficient.

然后就会想，是啊。

And it's like, yeah.

而且再过几年就能用上了。

And it'll be here in a couple years.

所以我觉得，模型方面——我知道这点时间不算长，尤其是对硬件来说——但市场上这些模型的运行效率真的可能发生翻天覆地的变化。

So I think the model like, there's just and I know that's, like, not that much time, but, especially for hardware, but, like, there's just so much can change in the market for how efficient these models can run.

比如说，如果他们在未来两年内，仅靠软件更新就让当前的Gemini模型效率提升十倍，我一点都不会惊讶。

Like, I wouldn't be surprised if they figured out how to make the current Gemini model 10 times more efficient just be because of software updates, in the next two years.

对吧？

Right?

但无论如何，Alphabet今年在AI基础设施上的投入将达到1800到1900亿美元，而这款芯片将大幅降低他们的电力成本。

But in any case, Alphabet is gonna spend a 180 to $190,000,000,000 on AI infrastructure this year alone, and so that chip is going to cut their power costs significantly.

如果真的能提升十倍效率，那就能帮他们省下几十亿美元。

If it really is 10 times more efficient, that could save them billions of dollars.

这还能让谷歌处理更多AI请求，降低使用成本，吸引更多用户。

It'll also let Google serve more AI requests and kinda make that cheaper and onboard more users.

Frozen v2将用每瓦特功率生成的token数来衡量效率。

Frozen v two is going to measure efficiency by tokens generated per watt of power.

这基本上是衡量芯片厂商每单位电力能产出多少AI结果的标准指标。

That is basically the standard metric for comparing how much AI output a chip producer or how much it produces per unit of electricity.

OpenEye在六月发布了他们自己的推理芯片，叫Jalapeno，而Anthropic正在和三星谈判，想定制芯片。

OpenEye released their very own inference chip called Jalapeno in June, and Anthropic is negotiating with Samsung to build custom chips.

我觉得现在每个主要AI实验室都把自研芯片当成核心战略了。

I think every major AI lab right now is treating in house silicone as essential.

他们都想自己造芯片。

They all wanna build their own chips.

他们知道不能光靠别人。

They know they can't just rely on other people.

谷歌已经把定制AI芯片列为重中之重了。

Google has designated custom AI chips as it's kind of a big priority.

实际上，他们从2015年就开始内部设计这些芯片了，并且一直和英伟达的GPU搭配使用。但他们也自己掌控芯片设计，这样一来，他们就能更早、更便宜地获得制造资源、产能以及所需的一切，而不是完全依赖英伟达来采购所有东西。

It's actually something that they've been designing internally since 2015, and they have used them alongside NVIDIA GPUs, but they are also owning the chip design, and doing that basically gives them a little bit earlier and cheaper access to manufacturing and some of the capacity and all of the stuff that they need instead of just going to NVIDIA to buy everything.

好了，各位，这就是今天的播客内容。

That was the podcast for today, guys.

非常感谢大家收听本期节目。

Thank you so much for tuning in to the show.

就像我之前提到的，如果你有兴趣试试我那个完全靠灵感写出来的新应用，它叫Learn of Christ。

And like I mentioned earlier, if you're interested in checking out my a 100% vibe coded new app, it is called Learn of Christ.

这是一个圣经学习应用。

It is a bible study app.

它是免费的。

It's free.

里面没有任何广告。

There's no ads on it.

而且我希望，即使你以前没怎么读过圣经，光是看这个设计，以及你能用AI做什么——比如搭建一个庞大的内容库，接入真实世界的数据，做出一个外观和体验都很棒的东西——也会让你受到启发。要知道，很多公司花了数十万美元做出来的东西，功能还没这么多，体验也没这么流畅。

And I hope that it is inspiring even if you haven't done a lot of Bible study in your life, just for the design and what you can build with AI as far as like a huge content library, pulling in real world data, building something that looks and acts great, and I mean there's a lot of companies that have spent hundreds of thousands of dollars building things with less features that are less smooth.

所以，我希望你能去看看。

So I'd for you to go check it out.

链接在描述里，网站是 learnofchrist.com。

It is linked in the description and it is also learnofchrist.com.

非常感谢你收听这期播客。

Thank you so much for tuning into the podcast.

我们下期节目再见。

I will catch you all in the next episode.