马斯克与阿尔特曼：法律大战内幕

如果你想免费收听这一集，还有我接下来的30集，全程无广告，那就去听听我的播客《AI Chat》吧。

If you wanna get access to this episode and my next 30 episodes all ad free, so there'll be no ads on them, go check out my podcast AI Chat.

你去Spotify或者Apple上搜一下就能找到。

You can go search for that on Spotify or Apple.

就叫《AI Chat》。

It's AI Chat.

我会把所有这些新闻类的节目都发出来，顺便也会放一些访谈内容。

I'm gonna post all of these news episodes, and I'm also posting interviews.

我刚采访了Coher的CEO。

Like, I just interviewed the CEO of Coher.

他们为自己的AI模型融了超过10亿美元，聊了聊这笔钱打算怎么花，AI行业接下来会往哪儿走，还有那些新动向。

They've raised over $1,000,000,000 for their AI model, talking about what they're gonna be spending the money on and and the direction of the AI industry along with all of this new stuff.

所以如果你想无广告免费听，就去《AI Chat》。

So if you wanna go check it out with no ads for free, it is AI chat.

埃隆·马斯克和萨姆·阿尔特曼今天在奥克兰联邦法院出庭，这是价值1300亿美元官司的第三天，这场官司可能迫使OpenAI重新变回非营利组织，还会把萨姆·阿尔特曼从董事会踢出去。

Elon Musk and Sam Altman are both in federal court in Oakland for day three of the $130,000,000,000 trial that could force OpenAI back into nonprofit status and also remove Sam Altman from the board.

在此之前，斯坦福2026年AI指数显示，前沿模型的透明度评分从58分暴跌到40分（满分100）。

Before that, Stanford's twenty twenty six AI index says transparency on frontier models just collapsed from 58 to 40 out of 100.

Runway的CEO正把公司定位为AI视频领域的世界模型先锋，估值已达53亿美元。

Runway's CEO is positioning the company behind AI video into world models at a $5,300,000,000 valuation.

前推特CEO帕拉格·阿加瓦尔，短短五个月就把他的智能代理基础设施初创公司估值翻了三倍，达到20亿美元；与此同时，白宫正在悄悄起草行政令，打算撤销对Anthropic的禁令。

Ex Twitter CEO, Parag Agarwal, just tripled his agent infrastructure startups valuation to $2,000,000,000 in five months, and the White House is drafting an executive action to quietly walk back its Anthropic ban.

今天这期播客，咱们就来聊聊这些事儿。

We're gonna get into all of that on the podcast today.

我第一个想聊的是斯坦福的这个报告。

The first one I wanted to cover was the Stanford story.

斯坦福HAI刚发布了2026年AI指数，报告里有个现象特别有意思。

So, Stanford HAI just dropped its twenty twenty six AI index, and we're seeing something very interesting in the report.

‘基础模型透明度指数’这一项显示，过去一年里，各大AI公司模型的透明度平均分从58分降到了40分（满分100）。

One of the things that the Foundation Model Transparency Intra Index is tracking or showed was that the average score dropped from 58 to 40 out of a 100 in the last year for how transparent these AI model companies are.

报告里直接说了：‘能力最强的模型，反而最不透明。’

The direct quote from the report is, quote, the most capable models are now the least transparent.

我们说的主要是谷歌、Anthropic 和 OpenAI。

So we're talking about Google, Anthropic, OpenAI.

它们全都停止公开数据集大小了，也不再透露最近模型的训练时长。

All of them have stopped disclosing their dataset sizes, and also they stopped saying, you know, how long their training duration was on the last models.

现在中国正在拉近与美国的技术差距。

So we basically have China right now that is narrowing The US capability.

它们只落后了大约百分之二点七。

They're at, you know, they're like 2.7% behind.

生成式 AI 在美国的普及率已经达到了 53%，

We also have generative AI hitting 53 in US adoption.

这比个人电脑和互联网当年的普及速度还快。

That's faster than the PC, you know, or the Internet.

与此同时，顶尖实验室发布的内容比去年少多了。

And at the same time, we have all of the labs at the top publishing less than they did a year ago.

斯坦福的拉塞尔·沃尔特在 X 上说，模型能力在提升，但人们对这些系统的理解力却在同步下降。

Stanford's Russell Walt said on X, capability is going up and the ability to understand the systems is going down at the same rate.

所以如果你是企业采购方，我觉得这事特别有意思。

So if you're an enterprise buyer, this is something I think that is fascinating.

当你采购团队问你要模型卡数据时，答案只会越来越变成：我们现在已经不提供这些了。

When your procurement team asks for, you know, model card data, the answer is increasingly gonna be, we just don't share that anymore.

我觉得这真是个挺有意思的全新动向。

And and I think this is a very interesting new move.

接下来是Runway的CEO克里斯托瓦尔·委内瑞拉，他最近上了个播客，好像是TechCrunch的Equity节目，他说了很多人都在说的事——其实我前几天在我的节目里也提过：Runway，这个最大的视频AI公司，其CEO认为，AI视频本质上只是个更大项目里的一个功能，而那个更大的项目，就是所谓的‘世界模型’。

Next up, we have the Runway of CEO, Cristobal Venezuela, who went on a podcast recently with Rebecca Balen, I believe it was the TechCrunch Equity podcast, and basically said what a lot of people have been in fact, I think I said this a couple days on my show, but basically, the CEO of Runway, the biggest video AI company, said that AI video is basically a feature on a much bigger project or product, and the bigger product is these world models.

因为要做出这种AI生成的视频，你得先有物理模型，能理解世界上所有东西的运行逻辑，像Blender这类工具就是干这个的。

So being able to because in order to make this AI generated video, you have to basically have these physics models to understand everything going on in the world using tools like Blender, etcetera.

或者至少，这是目前一些人走的路，但这事儿远不止‘AI生成视频’看起来那么简单。

And or, you know, that's one way some people have done it in the But this is a much bigger thing than just, you know, AI generated video would appear.

你得真正理解海量信息，而那个能构建出世界模型的数据集和模型本身，才是他们认为对机器人领域极其宝贵的东西。

You have to actually understand so much and that dataset and kind of that model being able to create these world models is what they're calling is incredibly valuable for robotics.

所以现在Runway的估值已经到了53亿美元。

So, runway right now is sitting at a 5,300,000,000 valuation.

到目前为止，他们已经融资了8.6亿美元。

They have $860,000,000 raised to date.

要是把他们跟SOAR和VIO这些视频生成领域的公司放一块儿比，我觉得挺有意思的。

And, I mean, if you line them up against SOAR and VIO in the video generation tier, I think it's interesting.

他们现在想说的是，真正的核心产品根本不是那些生成的视频。

The argument that they're making right now is that the real product surface isn't just like the videos that are generated.

而是一种非线性的媒体形态。

It's kind of this nonlinear media.

他们现在就这么叫它——实时生成的内容，能根据观众或玩家的互动做出响应，而不是简单地播放预设的片段。

That's what they're calling it right now, which is basically real time generated content that responds to a viewer or player instead of playing back a fixed sequence.

我觉得最让我印象深刻的那句话是，他们说……

So I think the line that really stood out to me is the what they said.

他们说：‘电影制作真正的限制，从来都不是技术。’

They said, quote, the real constraint on filmmaking has never been technology.

我觉得他们真正想表达的是，光有更强大的工具，并不能催生出全新的创作形式。

And what I think they're really getting at there is that, you know, better tools alone aren't gonna unlock new creative categories.

如果你随便给普通人一套AI生成视频的工具，他们还真不一定能拍出一部大片来。

If if you just give, like, any random person, you know, AI generative video tools, they aren't gonna be able to go and make a blockbuster movie per se.

当然，说不定里面真藏着几个天才。

I mean, maybe there's some diamonds in the rough hidden there.

对吧？

Right?

但一般来说，能拍出惊艳电影的人，都是讲故事的高手，是那些一直在圈子里打磨技艺的老手。

But typically, these the people that are making incredible filmmaking are great storytellers, the people that have been working in this that have been kind of honing their art.

虽然也有可能，某些普通人骨子里就藏着这种天赋。

And while some random people might have that hidden skill set in them.

对吧？

Right?

这让我想起奥运会时，那个来自土耳其的普通人，突然跑去参加射击比赛，结果一鸣惊人——他其实就是业余练练而已。

It reminds me of, like, at the Olympics when you had the the random dude from, what, like, Turkey that, like, went and he did, like, the shooting Olympics, and he, like, crushed it, and, you know, he had he just kinda picked it up on the side.

也许 filmmaking 领域里，也藏着这样的奇才。

Maybe there's some people like that with filmmaking out there.

对吧？

Right?

但我认为这种事并不常见。

But I think this isn't something that's something that's incredibly common.

所以这里面肯定有很强的人为因素，我们经常提到这一点。

So there's definitely a huge human element to it, and I think we talk about that a lot.

但很少有人讨论的是技术背后的东西——不只是简单的视频生成模型，而是所有这些技术背后的物理原理。

But the element we don't talk about a lot is is be behind the technology, not just the plain video generation model, but the actual physics behind all of it.

这正是杨立昆在他的新世界模型实验室里正在做的。

So this is something that Yan LeCun is making with his new world model labs.

这和裴菲利的World Labs的赌注是一样的，也是OpenAI刚刚暗示的方向，大家都惊呆了。

It's the same bet that PheFi Li's World Labs is making and the same one that OpenAI just signaled by essentially, everyone's like, oh my gosh.

他们关闭了Sora。

They're shutting down Sora.

他们没大肆宣传的重磅消息是：Sora团队的资源现在全转去搞长期的世界模拟研究了。

The big story they didn't talk about is that the Sora team's resources are getting put into long term world simulation research.

所以，如果你在做游戏、机器人或者互动媒体相关的东西，现在所有聪明的公司和资金都在往这个方向聚拢。

So if you're building anything in games, robotics, interactive media, this is the thesis that I think all of the smart companies, all of the smart money is converging on right now.

对。

Yes.

这些AI生成的视频模型确实挺酷，但它们的影响远不止帮电影人生成片段那么简单。

Like, these AI generated video models are kind of cool, but the implications of them are much bigger than just being able to generate clips for filmmakers.

这些世界模型迟早会用到机器人身上，而机器人将会对全球每个行业带来颠覆性的冲击。

These world models are gonna go into robots, the robots are, you know, an absolutely insane disruption on every industry in the world.

明白了。

Okay.

接下来我们想聊的是Parallel Web Systems。

The next thing we wanna talk about is Parallel Web Systems.

这是由帕拉格·阿加瓦尔创办的智能体基础设施公司。

This is the agent infrastructure startup that was founded by Parag Agarwal.

他就是2022年10月被马斯克炒掉时的推特CEO。

It was the guy who was Twitter's CEO when Elon Musk fired him in October 2022.

他刚完成了1亿美元的B轮融资，公司估值达到20亿美元。

He just closed a $100,000,000 series b at a $2,000,000,000 valuation.

A轮是五个月前完成的，那时候估值才7.4亿美元。

The series a was five months ago at a $740,000,000 valuation.

短短五个月，估值直接涨了两倍多，这本身就说明了现在代理基础设施领域正在发生什么。

So, you know, it's it's basically tripled in five months, which I think on its own tells you what is happening at the agent infrastructure layer right now.

本轮融资由红杉领投，还有Kleiner Perkins、Index、Kochla、First Round、Spark、Terrain Capital这些顶级风投都跟投了。

Sequoia led this round, you know, one of the top VC firms, Kleiner Perkins, Index, Kochla, First Round, Spark, Terrain Capital, all of them are in this.

这家公司目前主打网页搜索和专为AI代理设计的研究型API服务。

The company right now runs web search and also research APIs purposely built for AI agents.

说白了，就是模型和实时互联网之间的那一层中间件。

So basically, the layer between the model and the live Internet.

他们的CEO说，现在平台上已经有十万多名开发者，Clay和Harvey这些公司都列在他们的客户名单里。

And our Gwal says that they have over a 100,000 developers on their platform right now with Clay and Harvey on the kind of the list of customers that they have named.

我觉得这一轮融资特别重要，虽然现在每个基础设施初创公司都在疯狂融资，但代理流量和人类流量本质上是两码事。

The reason why this round I think actually matters even though every infrastructure startup right now is raising a lot of money is because agent traffic is fundamentally different than human traffic.

代理不是随便逛逛，它们会疯狂调用接口，批量读取数据，还需要结构化的输出。

Agents don't just browse, they hammer endpoints, they batch reads, they need structured outputs.

所以大多数搜索API根本不是为这个设计的，我觉得他们完全是重新从零开始，围绕这个需求打造的。

So most search APIs were never actually designed for this, and I think they've basically just built theirs from scratch around this idea.

再说Anthropic的新闻——咱们一直关注的——Axios的Marina Petzowski报道说，白宫正在起草一项行政命令，打算撤销对Anthropic的供应链风险认定，恢复联邦机构对其Mythos模型的访问权限。

In Anthropic news, which you know we love to cover, over at Axios, Marina Petzowski has an interesting story that the White House is drafting an executive action to walk back the supply chain risk designation on Anthropic and clear federal agency access to mythos.

Mythos是Anthropic的网络安全模型。

That is Anthropic's cyber model.

我觉得这明显是180度大转弯。

I think this is a clear, you know, one eighty.

今年二月，国防部长Pete Hegseth把Anthropic列为供应链风险企业。

The defense secretary Pete Hegseth labeled Anthropic a supply chain risk in February.

特朗普还签了指令，要求所有联邦机构停用Anthropic的产品。

Trump signed a directive ordering federal agencies off of Anthropic.

结果才过了八周，白宫幕僚长Susie Wiles和财长Scott Besnet就去见了Dario Amodei，两人都说这次会面特别有成效。

And now eight weeks later, the chief of staff Susie Wiles and the treasure secretary Scott Besnet met with Dario Almodeo in what both of them are kind of saying is like they're like, they all basically said this was a super productive meeting.

现在看来，政府正在撤回之前对Anthropic的很多认定，还有那些闹得挺僵的事儿。

And now it feels like the administration is walking back a lot of the, you know, the the designations that were given and and some of the beef that happened with Anthropic.

这事就算翻篇了吧，毕竟咱们还有更大的问题要解决。

Looks like it's water under the bridge because we have bigger problems to solve.

目前你知道吗，NSA已经在另一个豁免条款下使用Mythos了。

So right now, know that the NSA is already using Mythos under a separate exemption.

他们之所以改变主意，其实一点都不意外。

And the reason why they're kinda changing their mind on this is definitely not, like, a shocker.

Mythos是唯一一个专门为攻防网络战打造的前沿模型，情报界内部早就说了，没有它，整个网络体系根本跑不起来。

Mythos is the only frontier model which is purpose built for offensive and defensive cyber, and the Intel community made the case internally that you can't run a cyber stack without it.

这会不会是Dario Almonte下的一步大棋，想让Anthropic重新回到政府体系里？

Was this a giant four d chess play by Dario Almadeo to get Anthropic, you know, used in the government again?

OpenAI那边看起来有点眼红，还说了一句：‘嘿……’

It seems like OpenAI was a little bit jealous because they said, like, hey.

别想了。

No.

我们还有一个超厉害的网络安全模型，但太危险了，根本不敢公开。

We have a cool cyber model as well that's, like, too dangerous to release.

说实话，我现在也不太清楚这些事儿最后会怎么收场。

I'm not sure where we get, with all of that.

不过在聊下一个故事——马斯克和萨姆的官司之前，我想先跟你们聊聊我自己的创业项目，AI Box。

But before we get into the next story, which is Elon Musk and Sam trial, I would love to tell you about my own startup, AI Box.

如果你现在已经在用Chattypetty、Claude、Gemini、Grok或者Eleven Labs的语音服务，还有任何图像模型，真建议你来试试AI Box。

If you're already paying for Chattypetty, Claude, Gemini, Grok, or Eleven Labs for audio, any of the image models right now, I would love for you to check out AI Box.

这东西是我亲手做出来的。

It's what I personally built.

你能在同一个平台里访问超过80个不同的AI模型。

You get access to over 80 different AI models in one place.

所有前沿模型，再加上一堆超棒的开源模型，全都在上面。

Basically, every Frontier model and a ton of really cool open source models are all on there.

每个月只要8.99美元。

It's $8.99 a month.

所以你别再分别花二十块买ChatGPT、二十块买Claude、二十块买别的了，只要8.99美元一个月，所有模型一网打尽。

So instead of paying, you know, $20 for ChatGPT and $20 for Claude and $20 for everything else, $8.99 a month, and you get access to all of the different models in one place.

这可是我推荐给朋友的。

It's what I recommend to my friends.

省时又省力，功能还特别多。

It saves you a ton of time, and there's a lot of cool features.

里面有个工作流构建器。

There's a workflow builder in there.

真建议你们去试试看。

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

描述里有链接，去aibox.ai就行。

There's a link in the description to aibox.ai.

好了。

Okay.

今天刚结束，萨姆·阿尔特曼的庭审第三天，在加州北区联邦法院奥克兰分院。

The Sam Altman trial, day three, just wrapped up today in the US district court for the Northern District of California in Oakland.

埃隆·马斯克正在起诉萨姆·阿尔特曼、OpenAI 和格雷格·布罗克曼，索赔1300亿美元，并要求法院做两件事。

Elon Musk is suing Sam Altman, OpenAI, and Greg Brockman for a $130,000,000,000 in damages, and he's asking the court to do two things.

第一，强制OpenAI重新变回非营利组织。

Number one, force OpenAI back into a nonprofit form.

第二，把萨姆·阿尔特曼和格雷格·布罗克曼从董事会里撤下来。

And number two, remove Sam Altman and Greg Brockman from the board.

据NBC的罗汉·戈斯瓦米说，马斯克已经在证人席上待了两天，整个庭审现在就像在搞实时直播更新一样。

According to NBC's Rohan Goswami, Elon Musk has been on the stand for two days now, and this whole thing is being like they're doing, like, a live blog of it.

但这已经是连续第二天，马斯克在接受OpenAI首席律师的交叉质询了——这位律师是韦奇尔·利普顿事务所的威廉·萨维特，业内都知道，他就是那种你只要输不起，就非得请来的王牌律师。

But this is the second straight day under cross examination by Open Eye's lead attorney, which is William Savitt of Wechtel Lipton, who is kind of famously the guy that you hire when you absolutely can't lose a corporate trial.

目前我们看到的核心事实是，OpenAI在2015年由马斯克、阿尔特曼、布罗克曼、伊利亚·苏茨克韦尔等人共同创立，当时是个非营利机构。

And basically, the core fact pattern that we're seeing right now is that OpenAI was founded as a nonprofit in 2015 by Musk, Altman and Brockman, Ilya, Suskever, and a bunch of other people.

马斯克当时捐了3800万美元。

Elon Musk donated $38,000,000.

到了2018年，他离开了董事会——具体原因说法不一，有人说他输掉了内部权力斗争，没能当上CEO；也有人说他坚决不同意把公司转成营利性质。

He basically left the board in 2018 after, depending on whose story you believe on this, he either kind of lost the power struggle inside to make himself the CEO, or he was kind of refusing to bless the for profit conversion.

但到了2019年，他们搞了个营利性子公司，到了2023年，微软投了100亿美元。

But in 2019, the for profit subsidy was created, and in 2023, Microsoft put in $10,000,000,000.

现在据说OpenAI的估值大概在5000亿美元左右。

Today, OpenAI is reportedly worth somewhere around 500,000,000,000.

不过你要是看二级市场，它的股票其实已经在交易了。

Although, if you look at the secondaries market, it's trading.

有人在买它的股份，或者买卖股票期权，价格都飙到8500亿美元了。

Like, people are buying its shares or selling stock options for 850,000,000,000.

所以我不太清楚CNBC说的那5000亿是从哪儿来的，但实际市场上，人家都愿意出快一万亿了。

So I'm not sure where that, you know, 500,000,000,000 that CNBC is reporting on, but, like, people are paying close to a trillion dollars.

顺便说一句，Anthropic在二级市场的估值都到一万亿美元了，这简直离谱。

And and by the way, Anthropic is trading on the secondaries market for a trillion dollars, which is a valuation, which is crazy.

但不管怎样，马斯克说，搞营利化这事儿违反了当初的创始章程，他捐的钱被拿去干了没授权的事。

But either way, Elon Musk claims that the for profit conversation or conversion was a breach of kind of the founding charter that they have and that his donation got used for unauthorized purposes.

总的来说，交叉盘问的律师萨维特，一步步带着马斯克看了所有内部文件，证明马斯克自己在2017和2018年就提过要搞营利结构，还打算自己掌控多数股权和董事会。

So I think the big movements from the cross examiner, Savitt, he he basically walked Elon Musk through all of the internal exhibits showing that Musk himself proposed a for profit structure in 2017 and 2018, with Musk holding a majority control of the cap table and the board.

NPR的鲍比·艾伦说，这是这场庭审中最致命的一段对话。

NPR's Bobby Allen flagged that as kind of the most damaging exchange in this trial.

埃隆的辩解是，当时他本打算最终减少控制权，但交叉质询的律师指出，这根本没写在条款清单里。

Elon's defense was that in that deal, you know, he was eventually going to minimize his control according to the cross examination lawyer that wasn't actually on the term sheet.

这看起来对埃隆来说是个不小的败笔。

Something that's so that seems like kind of a a loss for Elon.

不过有意思的是，埃隆提到，微软的介入是个关键转折点——那100亿美元的投资根本不是普通捐赠，微软明显是冲着财务回报来的。

What is interesting though, Elon brought up the point that Microsoft was a bit of a tipping point because the $10,000,000,000 donation was or, you know, investment was too large to be a traditional donation and that Microsoft was clearly looking for a financial return.

萨维特，就是OpenAI那边的律师，反驳说：埃隆在八个月后创办了XAI，起诉也紧跟着就来了。

Savit, the you know, over at OpenAI, the counterargument from him was to point out that Elon Musk founded XAI eight months later and that his lawsuit landed shortly after.

所以OpenAI的立场其实很明确：埃隆输掉了把公司转为营利性机构的斗争。

So OpenAI's narrative is basically, what they're trying to say is, look, Elon Musk lost the for profit fight.

于是他另起炉灶，现在又想靠法院来打压自己的竞争对手。

So then he started a competitor, and now he's using the courts to try and, like, stop his competitor.

Platformer的凯西·牛顿今天早上写到，这场官司的胜负，不在于法律条文本身，而在于陪审团是否相信埃隆所声称的伤害是真实的，还是纯粹的战略手段。

Casey Newton over at Platformer wrote this morning that the case will turn less on the legal merit and more on whether the jury believes Musk's harm is real or strategic.

萨姆·阿尔特曼预计下周就要出庭作证了。

Sam Altman right now is expected to take the stand next week.

布罗克曼、苏斯克弗、米里亚姆·马拉迪，还有萨提亚·纳德拉，全都在证人名单上，这阵仗可真够大的。

Brockman, Susskiver, Miriam Maradi, and Satya Nadella are all on the witness list, which is gonna be just wild.

我觉得我之前观点里最有力的反驳，其实是公司结构这个问题——这对一家AI公司来说太关键了。

I think the strongest argument against my opinion or my take that I've given here is basically the corporate structure case, which is, you know, pretty important for an AI company.

它必须得能搞出这种模式才行。

It has to be able to do something like this.

Anthropic搞的是公益公司结构。

Anthropic did the public benefit corporation.

OpenAI则选择了有利润上限的补贴模式。

OpenAI did the capped profit subsidy.

说实话，你根本不可能靠非营利组织筹到五百亿美元，当初那个501(c)(3)的章程，从计算成本一飙升开始，早就注定要改了。

I think the simple reality is that you can't really raise $50,000,000,000 as a nonprofit, and the original five zero one c three charter was always going to be revisited the moment that the compute bill became real.

所以从这个角度看，马斯克的诉讼，其实就是挑着捡一些连他自己和XAI都不再当真的规则来打官司。

So if you look at it from that standpoint, then Elon's lawsuit is kind of like selectively enforcing something that nobody in the industry, including Elon Musk and x AI, I might add, actually believe anymore.

我觉得这个观点挺公正的。

And and I think that is a fair pretty fair point.

但我还是觉得这场审判特别重要，原因比很多人说的要深得多——关键在于，用非营利组织名义收到的捐款，能不能在未经捐赠者同意的情况下，回头转成营利性补贴？这个问题的影响远不止OpenAI一家。

But why I still think the trial is pretty important is more than what a lot of people are saying, basically, I think the legal question, whether donations made under a nonprofit can be retroactively used for for profit subsidies without donor consent, has a lot of implications that go way beyond OpenAI.

如果陪审团站在马斯林这边，那所有接受过慈善基金或研究捐款的AI实验室，都会突然面临这种新的法律风险。

Because if the jury sides with Elon, then every AI lab that took foundation grants or research donations under a charitable mission kind of has this new way that they have this legal exposure.

说白了，风险变大了。

Like, they have more risks there.

所以Anthropic的律师们才坐在旁听席上盯着看。

And I think that's why Anthropic's lawyers are kind of sitting in the gallery.

很多人关注这场官司，就是想看看它会立下什么先例，虽然主流媒体没这么讲，但事实就是如此。

I think a lot of people are watching this case because they wanna see the precedent that comes out of it, and I think that's not the way it's getting framed in a lot of the news, but I think that's that's what's happening.

行了。

Alright.

今天就聊到这儿。

That's the show for today.

非常感谢你收听本期节目。

Thank you so much for tuning in.

如果你喜欢这期内容，对我来说真的意义重大。

If you enjoyed the episode, it would mean the world to me.

如果你能在你听播客的平台给个评分和评论，对节目会是巨大的帮助。

It would really help the show out a lot if you could leave a rating and review wherever you get your podcast.

一如既往，别忘了去看看 aibox.ai。

And as always, make sure to go check out aibox.ai.

我在简介里放了链接。

I'll leave a link in the description.

你去那儿就能找到。

You can go find it.

咱们下期再见。

I'll catch you in the next episode.