克劳德在印度的价格革命

Anthropic 正在印度本地化 Claude 的定价，印度是它的第二大市场。

Anthropic is localizing Claude's pricing in India, which is its second largest market.

挺有意思的是，当地人用起来比美国或者其他传统上更富裕的国家还要便宜。

Interesting because people there will be able to get it cheaper than people in America or other countries that make more money historically.

苹果对 OpenAI 的投诉中提到，他们访谈了四百多名员工，指控 OpenAI 在窃取商业机密。

Apple's OpenAI complaint, they're detailing a show and tell interviewing over 400 hires claiming that OpenAI is copying trade secrets.

目前世界模型项目拿到了数十亿美元投资，而 Lacan、Lee 和 Runway 都在押注 LLM 会失败。

World models right now are getting billions, and Lacan, Lee, and Runway are all betting against LLMs.

我们待会儿要聊聊这里面的差距。

We're gonna get into the disparity there.

Meta 计划把 Hyperion 数据中心的规模翻倍，达到五千兆瓦。

Meta is doubling their Hyperion data center to five gigawatts.

原本预计是 25 亿，我一开始还以为只有 20 亿，但现在他们的投入要突破五百亿美元了。

It was gonna be 2.5, or I thought it was maybe two at the beginning, but they're pushing the spending past $50,000,000,000 increasing it there.

萨姆·奥尔特曼和埃隆·马斯克最近闹得挺僵的，还挺有意思。

Sam Altman and Elon Musk are having a ton of beef, which is kinda funny.

咱们就以这个收尾吧。

We'll end the show on that.

萨姆·阿尔特曼说埃隆·马斯克的太空数据中心只是短期营销噱头，而埃隆·马斯克则骂他是骗子阿尔特曼。

Sam Altman is saying that Elon Musk's space data centers are a short term sales pitch, and Elon Musk is calling him scam Altman.

这背后有太多东西值得深挖。

So there's lots to get into.

自从Fable 5重新回归Claude后，Anthropic一直在玩一种奇怪的游戏：不断宣布Claude Fable 5即将从订阅套餐中下架，以后只能通过API访问。

Ever since Fable five came back to Claude, Anthropic has been playing this weird game where they keep saying they have a new deadline for when Claude Fable five is gonna get pulled off of the, subscription tiers, and you'll only be able to access it through the API.

最初他们说延期到12号，或者我记得第一个截止日期是7号。

Initially, they extended it till the twelfth and or I think the seventh was like the first deadline.

他们说7号之后就没了。

They're like, it's gonna be off after the seventh.

我记得自己一直用到7号，把所有积分都耗光了，结果他们又说：‘别急，我们给你重置了，其实还能用到4号或者12号’——而12号就是昨天。

And I remember using up all my tokens till the seventh, and then they said, look, we're resetting it, and you actually can use it till the fourth or the twelfth, which was yesterday.

于是我又把12号的积分用光了，但Claude的积分要到周三才会重置。

And so I used up all my tokens again on the twelfth, and my tokens don't reset on Claude till, like, Wednesday.

所以我现在真的没剩任何Claude积分了，而且我还在两个不同的Claude Max账号上，连续三天没法用。

So now I'm I literally have no more Claude tokens, can't Claude, for, like, three days on two separate Claude Max accounts, mind you.

就在二十小时前，Claude发了一条推文，说要把Fable Five的访问权限延长到所有付费计划，同时把每周的使用限额提高50%，有效期到7月19日。

And then what happened twenty hours ago, Claude came out with a tweet and said, we're extending Claude Fable five access to all paid paid plans as well as keeping Claude codes weekly limit rate limits to 50% higher through July 19.

这已经是他们第二次这么做了。

This is the second, third time, second time that they've extended this.

真的让人特别烦。

It's super annoying.

我在推特上回复他们，说我已经提前把所有积分用光了，就等着截止日，现在一点额度都没了。

I replied to them on Twitter and said, except I already used up all my tokens in anticipation of the deadline, so I have no more credits left.

白忙活一场。

Thanks for nothing.

这种情绪好像大家都感同身受。

The sentiment seems to be felt by everyone.

如果你去看Omasar在X上的发言，他说：我觉得Anthropic根本没意识到这些改动对用户造成了多大的影响。

If you look at Omasar over on X, he said, I don't think Anthropic realizes how disruptive these changes are to users.

我很感谢这个延期，但请别再玩这种把戏了。

I appreciate the extension, but please stop playing games.

要么就把这个功能永久纳入订阅，要么就直接开放给API。

Either keep it under the subscription or put it under the API already.

我完全同意。

I a 100% agree.

这真的太让人恼火了，因为当有人定下规则或说有截止日期时，你自然会提前规划，把额度用光。

This is super annoying because you obviously when someone makes a rule or says that there's a deadline, you're gonna plan accordingly, aka use up your tokens ahead of time.

我要是更节省一点就好了？

Would I have been more frugal?

如果他们提前两周就说明情况，我是不是会用得更合理些？

Would I have spent them better, you know, if this if they were been there for two weeks?

当然是。

Yes.

明摆着的。

Obviously.

所以我现在陷入困境了，幸运的是，无论你是谁，只要曾经用完过额度、遇到过订阅限制或令牌上限，都推荐你去看看 aibox.ai 这个平台。当你在 OpenAI、Claude 或其他平台用完令牌时，aibox.ai 只要每月 8.99 美元。

So now I'm in a pickle, and, lucky for me and for anyone else that might have had an occasion where you ran out, you hit some sort of subscription limit, token limit, I would love for you to check out my platform aibox.ai, because when you reach a token limit on OpenAI or Claude or any other platform, aibox.ai for $8.99 a month.

只要 8.99 美元，你就能访问超过 80 种不同的 AI 模型，足够撑到你下次从 Claude 那边获得新的令牌为止。

$8.99, you get access to over 80 different AI models, and it's gonna hold you over till your, you know, your your next hit of tokens comes back in from Claude.

而且说实话，你还能用它来生成图片、音频、视频、音乐和文本。如果你希望随时能用上所有 AI 模型，那就去 aibox.ai 看看吧。

In addition, to be honest, you get access to image, audio, video, music, text, So if you just wanna have access to every single AI model anytime that you need it, go check out aibox.ai.

我会在描述里放上链接。

I'll leave a link in the description.

另外，Anthropic 现在开始用印度卢比销售 Claude，Claude Pro 定价为 2000 卢比。

In other news for Anthropic, they are now selling Claude in Indian rupees, and they're pricing Claude Pro at 2,000 rupees.

折合下来大约是每月 21 美元。

That's about $21 a month.

而他们最强的模型 Claude Max，定价是每月 125 美元，也就是大约 12000 卢比。

And their most powerful model, Claude Max, at a $125 a month American or about 12,000 rupees.

印度占了 Claude 全球使用量的 5.8%，几乎是仅次于美国的第二大市场，但他们目前还不支持印度主流的支付方式 UPI。

India accounts for about 5.8% of Claude's global usage, so it makes them the basically, the second most popular market after The United States, but they can't accept UPI, which is India's dominant payment method.

这就有点棘手了，但真正有意思的是，很多人原本以为——我也在播客开头提过——本地化的时候，通常会根据当地收入水平把价格定得更低。

So this makes it tricky, but what's really interesting is a lot of people thought, and, you know, I kinda mentioned in the intro of the podcast, that when you localize, you typically will make it cheaper in the country by based off of what the income is of that country.

既然印度的收入水平较低，产品在印度就应该定价更便宜。

So if India makes less money, you would make the product cheaper in India.

很多SaaS订阅服务都是这么做的。

This is what a lot of SaaS subscriptions do.

但这次Anthropic并没有这么做。

And in this case, they did not do that.

Anthropic并没有给印度用户大幅打折。

Anthropic is not heavily discounting the model for people in India.

事实上，价格反而更高了：在美国，Claude的高级版每月20美元，而印度的定价是2000卢比，按当前汇率换算下来差不多就是21美元。

And in fact, it's actually more expensive because in The United States, the pro plan of Claude is $20 a month, and it's roughly the conversion rate bounces around, but it's roughly $21 if you're doing the conversion from Indian, rupees right now.

OpenAI去年8月推出卢比计价时，就已经支持了UPI支付，但Anthropic到现在还是只接受信用卡或者Apple、Google的支付方式。

OpenAI added UPI support when they launched rupee pricing in August of last year, and Anthropic is still requiring credit cards or Apple or Google billing.

这在印度是个大问题，因为UPI几乎是当地默认的支付方式。

It's a really big friction point in a market where UPI is basically the default checkout method in India.

Anthropic在2026年2月在印度开设了办公室，并与印孚瑟斯和塔塔咨询服务公司达成合作，试图拓展印度企业市场，但如今却因定价高于美国市场而遭到批评。

Anthropic opened a office in February 2026 in India, and they signed some partnerships with Infosys and Tata Consulting Services to try to help reach Indian enterprises, but they're being criticized because they currently cost more than if you had tried to get the same service in The United States.

苹果公司提交了一份41页的诉讼，指控OpenAI系统性地挖走了400多名苹果员工，并窃取了包括硬件机密在内的核心信息，甚至指导求职者在面试时携带真实设备部件，还协助一名工程师离职后非法访问苹果的云存储。

Apple is filing a 41 page lawsuit alleging that OpenAI has systematically recruited over 400 Apple employees and extracted confidential hardware secrets from them, including by coaching candidates to bring actual device parts to job interviews and helping one engineer allegedly breach Apple's cloud storage after he left.

目前这起诉讼主要针对OpenAI、其硬件子公司io，以及三位现任OpenAI高管，而io正是苹果在2026年以65亿美元收购的公司。

The case that they're making right now is targeting OpenAI, their hardware subsidiary, io, which Apple acquired for $6,500,000,000, and three current OpenAI executives.

如果你还记得，OpenAI正和乔尼·艾维合作开发一款新设备，而艾维曾是苹果iPhone设计团队的核心人物，这让苹果非常不满。

And if you guys remember, they have this huge, like, deal going on right now with Johnny Ive who formerly helped design the iPhone over at Apple, and OpenAI is working on a device with him, so Apple is not happy about this.

OpenAI的首席硬件官唐坦，这位在苹果工作了24年的老将，被指曾指导求职者在面试中展示电池、主板等保密零部件。

Tang Tan, who's OpenAI's chief hardware officer and a 24 Apple veteran, allegedly instructed job candidates to bring confidential parts like batteries and logic boards to show and tell interview sessions.

前苹果工程师张刘在2026年1月离职几周后，利用身份验证漏洞下载了数十份机密文件，并发短信给同事说：‘我那儿还有一台电脑。’

Former Apple engineer Chang Liu downloaded dozens of confidential files weeks after leaving in January 2026 by exploiting an authentication vulnerability and then texting a colleague, I still have another computer.

苹果表示，他们早在2月就曾联系OpenAI反映这些问题，但未获任何回应，这才选择提起诉讼。

Apple said that it first contacted OpenAI about the alleged misconduct in February and received no response before they filed this lawsuit.

OpenAI的硬件设备预计将在明年发布。

OpenAI's hardware device is expected to launch next year.

所以，很明显，苹果在这件事临近时越来越紧张了。

So, you know, Apple's obviously getting a little concerned in the run up to this.

我觉得这可能是迄今为止最详尽的一起案例，展现了所谓的商业间谍活动在人工智能行业里究竟是什么样子。

I think this is one of the most detailed evidences yet of what maybe you'd call corporate espionage and and for the AI industry what it looks like.

这可不是什么间谍电影，但事实就是，OpenAI 正在有系统地从苹果挖走专业工程师。

This isn't, you know, a spy movie or something, but you basically have a company, OpenAI, that's systematically hiring specialized engineers from Apple.

不过，这种行为本身并不违法。

Now this shouldn't be illegal.

你当然可以招聘苹果的员工，甚至专门瞄准苹果或其他竞争对手，只要他们正在开发你感兴趣的产品，而他们的员工恰好具备相关专长。

You should be able to hire people from Apple and even target Apple or another competitor if they're building something that you want and their employees have the domain expertise to do it.

这本身没什么问题。

I mean, there's nothing wrong with that.

但如果苹果的指控成立，这可能会为科技公司如何保护硬件领域的核心技术设立一个先例。

But if Apple's allegations hold up, I think it's gonna set a precedent for how a lot of companies protect knowledge from rivals when it comes to hardware.

当然，有些底线是不能碰的，比如怂恿员工把公司真正的硬件部件带出来，或者把存有公司数据的电脑私自带走。

And, you know, obviously, there's some there's some red lines to not cross, like telling people to bring actual components from the com the company or bringing their computer with data on it from the company.

所以这些争议最终都得上法庭解决。

So that's all gonna get litigated in court.

今年早些时候，三家AI初创公司——World Labs、Advanced Machine Intelligence和Runway——总共筹集了23亿美元。

Three different AI startups, World Labs, Advanced Machine Intelligence, and Runway have all raised a combined $2,300,000,000 in early or earlier this year.

这三家公司的目标都是打造世界模型。

And the goal of these companies, both all three of them, is to build world models.

也就是说，这些AI系统不是只生成文字，而是要模拟真实物理环境。

So these are basically AI systems that are gonna simulate physical environments instead of just generating text.

像ChatGPT这样的大语言模型只能生成文字。

All LLM ChatGoofD generates some text for you.

而这些系统要模拟的是真实世界中的场景。

These are gonna simulate real world environments.

这里面有很多很有意思的应用场景。

And there's a lot of interesting use cases.

Runway在做这个挺有意思，因为他们本身就需要处理视频。

It's interesting that Runway's working on this because they need video.

做视频的话，如果你想让它足够强大，就得有个模拟的三维环境，这样你才能让镜头从各个角度自由移动。

And video, you need kind of a simulated three d environment if you want it to be really powerful so you can tell the camera to move around from all different angles.

但更重要的是，这其实属于机器人时代的一部分。

But more importantly, I think, is the robotics era where this kind of falls into.

你得能模拟这些物理环境，给机器人打造训练用的虚拟空间。

And, you know, you need to be able to simulate these physical environments to make these simulated environments for robots to train in.

目前，这三家公司在押注的方向，恰恰反映出AI领域的一个重大分歧：单靠大语言模型，真能造出更聪明、更有能力的AI吗？

Right now, the bet that all three of those companies are making, I think is showing a huge split in the AI field over whether LLMs alone can lead smarter, more capable AI.

World Labs 和 AMI 各自融了大约十亿美元。

World Labs and AMI each raised about a billion dollars.

Runway 今年二月又额外拿到了三亿一千五百万美元。

Runway added $315,000,000 in February this year.

谷歌、DeepMind、World Labs 和 Runway 都已经推出了可用的版本。

Google, DeepMind, World Labs, Runway have all released working versions.

比如 Genie 3、Marble、GWM 1，它们用的技术路线都不一样。

So there's Genie three, there's Marble, there's GWM one, and they're all using different technical approaches.

颜乐昆在Meta领导AI研究多年，后来离开并创办了AMI，他坚信这家公司能打造出比大语言模型更出色的下一代AI路径，认为大语言模型并不是未来方向。

Yan Lekun, who led AI research at Meta for years, he left and he founded AMI, and he is basically betting that the company is gonna be able to build something better than LLMs as the path forward, and that LLMs are not the way go.

我之所以提到这个故事，是因为我觉得它对机器人技术、视频生成和科学模拟都至关重要。

The reason why I bring this story up at all is because I think it matters a lot when it comes to robotics, video creation, and scientific simulation.

我们讨论的不只是聊天机器人，而是AI的下一步该往哪里走。

So we're not just talking about chatbots, but what is the next step of AI?

那么，AI接下来会渗透到哪些行业呢？

Like, what are the next industries that this is gonna go into?

明白了。

Okay.

Meta正计划将位于路易斯安那的Hyperion数据中心扩建至五吉瓦，投资约五百亿美元。

So Meta is doubling their Hyperion data center in Louisiana to five gigawatts and about $50,000,000,000.

这几乎是他们去年十月宣布的270亿美元的两倍，如果你还记得的话。

That's about double their $27,000,000,000 they announced last October, if you remember.

他们现在的这一轮扩张，说明Meta正在下重注，认为必须获得海量的AI算力，才能跟微软、谷歌和亚马逊竞争。

This expansion that they're doing now, I think, is showing that Meta is making a huge bet that they are gonna need some enormous amounts of AI computing power to stay competitive with Microsoft, Google, and Amazon.

说实话，我之前也觉得我不确定。

And to be fair, like, I would have said I don't know.

我本来觉得Meta和扎克伯格不太行，但上周他们推出了一款简直惊艳的模型。

Like, I would have discounted Meta and Zuckerberg, but, I mean, last week, they came out with an absolutely incredible model.

感觉他们正在慢慢找回状态了。

It feels like they're trying to get it they're kinda getting a little bit of their mojo back.

他们早在2024年12月就启动了这个项目，当时计划投入100亿美元建设一个两吉瓦的设施。

The project that they started back in December 2024, they had, I think, a $10,000,000,000 that they were gonna put towards a two gigawatt facility.

现在Meta的目标是到2030年达到两吉瓦的算力，但还没公布完整的完工时间表。

And now Meta is looking to reach two gigawatts by 2030, and they have not set a timeline for the full completion on that.

我觉得他们特别选择扩大这个项目，背后肯定有不少原因。

Now I think there's a lot of reasons why they might be expanding this project in particular.

我们都看到过新闻，有人反对建数据中心，想方设法拖慢进度。

We've all seen the headlines of people kind of opposing data centers or people trying to slow them down.

好像有个数据说，每十个计划中的数据中心，就有六个因为当地社区反对而被叫停。

And there's been like a lot of, I think there's like a statistic that something like, you know, six out of 10 proposed data centers gets shut down due to like community outreach, that they don't want these data centers.

所以我觉得，如果你已经拿到了数据中⼼的审批，又有地、有土地、还有政府关系和许可，那这些公司很可能会直接在当地建一个超⼤规模的数据中⼼。

And so I think if you have the approval for a data center, and you have the space, and the land, and the government connections and approval, I think we're going to start seeing some of these companies just decide to build one extra large one wherever they're at.

埃隆·⻢斯克就在这么⼲，SpaceX 正在建他的超⼤型数据中⼼。

Elon Musk is doing this with SpaceX, building the, you know, his giga data center things.

名字我有点记不清了，好像是什么 Colossus 三号之类的。

I can't remember what it's called, his colossus three or whatever.

Meta 现在也开始这么做了，我很想看看有没有其他公司也跟进——既然旁边就有现成的地，何不直接扩⼤现有的，而不是到处去申请新地块呢？

Meta is now apparently doing the same thing, and I'd be curious to see if we see others making the same play where if you have the land next to you, might as well expand the one that you currently have rather than try to get a whole bunch approved all over the place.

路易斯安那州给 Meta 批了二十年的销售税豁免，只要是 2029 年前购买的设备，全免，这⼀下⼦能把成本压低很多，硬件成本可能省下几百亿美⾦。

Louisiana granted Meta a twenty year sales tax exemption on equipment purchased for data centers built before 2029, which I think lowers the cost a ton, maybe tens of billions of dollars in hardware.

⾃从⼯程开建以来，当地企业已经拿到了⼗六亿美⾦的合同。

And local businesses have already earned $1,600,000,000 in contracts since the construction began.

对整个社区和当地经济来说，这可是真金⽩银的收益，Meta 也省了⼤笔税款，自然愿意继续扩⼤投资。

So overall for the community and the economy there, it's, you know, making a lot of money, and Meta is getting this big kickback in sales tax, so they're happy to expand.

他们心里清楚，别处不可能再有这么好的条件了。

I think they know that they're not gonna get it cheaper anywhere else.

Meta在这项工程中还额外投入了超过十亿美元，用于修建道路、供水系统和其他本地基础设施。

Meta committed over 1,000,000,000 more for roads, water systems, and other local infrastructure with this project.

所以希望这不仅能让Meta受益，也能真正为当地社区带来好处。

So hopefully, this becomes a real win win for just not just Meta, but also the community.

明白了。

Okay.

今天咱们得用科技圈里的一场风波来结束这期播客，主角是萨姆·阿尔特曼和埃隆·马斯克。

We gotta get we gotta end the podcast today on some beef in the tech world, which is Sam Altman and Elon Musk.

埃隆·马斯克在推特上说，萨姆·阿尔特曼在谈论苹果那场诉讼时，把忽悠人玩出了新高度。

Elon Musk was tweeting, he said that Sam Altman takes scamming to a whole new level when talking about Apple lawsuit that's going on right now.

萨姆·阿尔特曼回怼说：老兄，你才是那个向股市投资者兜售短期太空数据中心的人。

Sam Altman replied by saying, homeboy, you're the one selling public market investors on short term space data centers.

埃隆·马斯克接着回应：我们明年就开始运了。

Elon Musk replied and said, we start flying them next year.

等你假释批准了，说不定可以去看看，前提是别再把开源AI慈善项目给偷了。

Maybe you can come see them if your parole officer approves after stealing an open source AI charity.

然后你还把苹果所有手机技术都拿走了。

You then stole all of Apple's phone technology.

天哪。

Wow.

接下来你还打算玩什么更大的把戏？

What do you plan on plan for an encore?

这真不容易超越。

That's tough to beat.

富豪们在X平台上吵得热闹，确实挺有意思，但事实到底是什么？

It's always fun when the billionaires are feuding over on X, but what are the facts?

TechCrunch刚发了一篇文章，我觉得挺有意思，分析了针对马斯克的这场官司。TechCrunch一般就做这类科技报道，不过这篇文章里有些观点挺有料的。

Now there was an article published on TechCrunch that I thought was interesting breaking down, I guess, the case against Elon Musk, TechCrunch is I find it just tech it usually has that sort of coverage, but I do have some interesting points on all of that.

那个。

That.

TechCrunch首先提到，SpaceX曾对IPO投资者表示，星舰在短期内无法实现完全可重复使用，每次发射都得消耗第二级火箭。

So the first thing that TechCrunch says is that SpaceX told IPO investors that the Starship was not gonna be fully reusable near term, and it's going to need to expend second stages on every launch.

据TechCrunch称，这将彻底打破轨道数据中心的成本计算方式。

According to TechCrunch, they said this is going to erase the cost math for orbital data centers.

他们指出，真正的可重复使用需要在成功试飞之后经过多年的迭代。

They say true operational reusability requires years of iteration beyond successful test flights.

在轨道计算任务获得发射机会之前，星舰的近期任务已经被NASA和星链排满了。

Starship's near term manifest is spoken for by NASA and Starlink before orbital compute gets a slot.

所以他们的意思是，你看。

So they're saying, look.

他们根本没多余运力去部署这种计算系统。

Like, they're not even gonna have the bandwidth to get this compute up.

这需要大量的迭代改进。

It's gonna need tons of iterations.

恐怕可行性很低。

It's probably not gonna be very feasible.

他们还提到，要实现轨道计算的规模化，需要兆瓦级的卫星、真空环境热管理、地面站带宽，以及低到能击败地面数据中心的发射成本。

They say that, they said scale orbital compute needs multi megawatt satellites, vacuum thermal management, ground station bandwidth, and launch costs low enough to beat earthbound data centers.

专家们说，这种组合会在二三十年代出现。

A combination experts say arrives in twenty thirties.

所以TechCrunch同意萨姆·阿尔特曼的看法，意思是：你看。

So TechCrunch agreeing with Sam Altman and saying, look.

SpaceX根本不可能实现足够的成本效率，也没那个带宽把这种太空数据中心部署上去，但他们高达两万亿美元的估值，很大程度上正是建立在所谓的轨道计算这个概念上。

There's no way that SpaceX is gonna get the cost efficiency or have the bandwidth to put these space data centers up there, but a huge part of their $2,000,000,000,000 valuation was relying heavily on orbitalcom you know, this orbital compute thing.

所以，说白了，这事儿大概根本行不通。

So, you know, it's just probably not very feasible.

一方面，批评这些公司确实非常重要，也很有意义。

Now on the one hand, think criticism of these companies is fantastic and important.

但另一方面，不知为什么，这一切让我想起网上看过的一篇帖子。

But on the other hand, for some reason, all of this just reminds me of a post I saw online.

其实不止一篇，有好几篇类似的。

Well, there's actually been a handful of them.

我看过一篇关于SpaceX的帖子，内容大概是：继续迭代吧。

One post I saw online in regards to SpaceX was, you've probably all seen the post where it's like, continue iterating.

这张图下面总有个说明，讲的是SpaceX火箭助推器刚起步时的样子，那时候到处都是电线，特别复杂。

It's like always a caption on this post, but it's the SpaceX rocket boosters when they first started, and they were like these really complex rocket boosters with wires all over the place.

看起来就像弗兰肯斯坦拼出来的怪物。

They looked like Frankenstein.

再对比现在火箭助推器的样子，简直流线型多了。

And then it shows whatever the rocket boosters are today, which is like really sleek.

所有的电线和内部结构好像都被整合到一起了。

It looks like they've gotten all of the wires and a lot of the internal stuff moved together.

我记得这张图刚发出来的时候，有个评论说：我干航天这一行的，这东西在物理上根本不可能实现。

I remember when this post first went out and they posted a picture of it, there was a guy that like commented on it, and he was like, I work in aerospace, and this is literally physically impossible.

这图是AI生成的。

This is an AI generated image.

你不可能把这里的一根线接到那里，再连到另一个地方，还保持功能正常。

You couldn't, you know, the the whatever, the wire that goes here, x y z, and goes to this place.

你实际上是把助推器上的某个关键部件给彻底删掉了。

Like, you've literally removed this part, this component of the rocket booster.

这不可能。

That's impossible.

这可不是真的。

This isn't real.

有个回复的人说，我是SpaceX的工程师，我们参与了这项简化工作。

And replying to that guy was someone that said, I'm an engineer at SpaceX, and we worked on simplifying this.

我们把那个部件挪到了另一个组件上，所以现在看不见了。

We were able to move that thing over to this other component so you can't see it.

这确实是真实的火箭助推器。

This is actually the real rocket booster.

那 guy 说：‘真厉害。’

And the guy said, he's like, dang.

真心佩服你们。

You know, hats off to you.

这事儿就这么回事儿。

And that was kind of the thing.

所以我想说的是，很多人特别容易在网上对SpaceX指手画脚，因为它涉及的是火箭科学。

So all I'm gonna say is a lot of people find it very easy to keyboard warrior, criticize SpaceX in particular because it's rocket science.

如果谁稍微懂点行，就会觉得这听起来简直太复杂了。

And if someone sort of knows what they're talking about, they could say it sounds super complicated.

SpaceX刚起步的时候，大家都说他们根本不可能实现财务目标和发射目标，因为要达到那样的发射频率，简直是天方夜谭。

When SpaceX originally started, they said it would never be viable to hit their financial goals and their launch goals because they would have to accelerate launches by a certain degree that was just too high.

我记得有位航天行业的人接受采访时说，马斯克的计算根本不可能成立，这事压根不会成真。

I remember seeing an interview by someone in the space industry just saying that there was like, Elon's math was not possible math and that it was never actually gonna happen.

所以我说这些，是想说明SpaceX一次又一次用事实打了那些质疑者的脸。

So all this to say, when it comes to SpaceX, they have proved time and time again to, you know, prove all the haters wrong.

也许TechCrunch那边的人真的比SpaceX更清楚他们打算做什么。

So maybe everyone over at TechCrunch does truly know more than, what SpaceX says they're planning on doing.

但我还是觉得，不妨给他们一点信任，毕竟他们已经多次证明了那些怀疑者是错的，不过谁知道呢？

But I would say give them a little bit of a benefit of the doubt because they've proved the doubters wrong a couple times, but who knows?

时间会给出答案。

Only time will tell.

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