Grok Bot Finally Makes AI Agents Easy — 文稿

M10:00

AI agents 的承诺，可能终于要变成现实了。

The promise of AI agents might finally be becoming a reality.

今年年初的时候，大家已经很清楚，2026 年会是 agents 之年。

At the beginning of this year, it was clear that 2026 was going to be the year of agents.

模型的进步，再加上各种 harness 的配合，意味着在今年交替之际，某个关键的拐点显然已经到来。人们一进入一月，就开始争相发掘 Claude Code 和 OpenAI 的 Codex 这类工具给他们带来的所有新能力。

The combination of the advancement of models plus harnesses meant that around the turn of this year, it was clear that some critical inflection point had been reached, and people came into January racing to uncover all of the new capabilities that tools like Claude Code and OpenAI's Codex made available to them.

不过，agent 热潮真正爆发，是在 OpenCLAW 推出之后。

When the agent excitement really popped off, however, was with the introduction of OpenCLAW.

有了 OpenCLAW，人们就可以启动整支 agent 团队，比如 chief of staff、研究员、写作者，任何你能想到的角色都可以，而且它们真的能彼此协调、互动，帮你完成很大一部分工作，并且这一切都能通过 Telegram 或 WhatsApp 这种简单的聊天界面来统一协调。

With OpenCLAW, people were able to spin up entire teams of agents, chief of staffs, researchers, writers, anything you could imagine, and have them actually coordinate and interact with one another, doing big chunks of your work, and coordinated all through easy chat interfaces like Telegram or WhatsApp.

当然，问题在于，要做到这一点在技术上极其复杂，也非常困难。

The problem was, of course, that it was extremely technically complex and difficult to do so.

我们甚至专门推出了一整门课程 Claude Camp，就是为了帮助大家搞明白这件事。

We even dropped an entire course, Claude Camp, just to help people figure that out.

而这一年里，也有一些尝试，想把这类用于 agentic work 的界面做得更简单，让更多人能够采用，但它们其实都没有真正做到位。

And throughout the year, there have been some attempts to make those sort of interfaces for agentic work more straightforward for broader adoption, yet none of them have really hit the mark.

有些人认为，随着本周 GrokBot 的推出，这一切都变了。

Some think that with this week's introduction of GrokBot, that has all changed.

GrokBot 允许用户为不同任务启动多个 agents。

GrokBot allows users to spin up multiple agents for different tasks.

你可以给它们访问所需系统的权限，然后它们就会自己去干活，你可以在旁边看着，也可以去做别的事情。

You can give them access to whatever systems they need, and they go off and do work while you watch or while you're doing other things.

这是 Cursor 和 xAI 合力推出的第一批产品之一，而且两家公司甚至表示，这些 bots 会随着时间学习并变得更好。

It's one of the first products from the combined efforts of Cursor and xAI, and the companies even say that the bots will learn and get better over time.

那么，这就是我们一直在等待的那个 agent 平台吗？

So is this the agent platform that we've been waiting for?

也就是那个能把 agentic working 的能力带给更广泛人群的平台吗？

The agent platform that can bring the capabilities of agentic working to a much wider array of people?

我们来看看。

Let's find out.

M12:26

不过在那之前，我们先快速过一遍头条新闻，然后再来聊聊 GrokBot 这个令人兴奋的新发布。

With that though, let's first cruise through the headlines and then talk about this exciting new release of GrokBot.

今天我们先从一条新闻开始，这件事受到的关注已经足够多，说实话，它本周晚些时候可能会进入主节目。

We kick off today with a story that has gotten enough attention that it honestly might make it into a main later this week.

Anthropic 因为给 AI 生成文本引入水印，引发了巨大的争议。

Anthropic has stirred up huge amounts of controversy by introducing watermarks for AI-generated text.

从本月开始，所有新的 Anthropic 模型都会在生成内容中加入不可见水印。

As of this month, all new Anthropic models will now include invisible watermarks in their generations.

Anthropic 模型将能够检测这些水印，以帮助识别 AI 生成内容，而且 Anthropic 也会支持第三方 AI 检测器做同样的事。

Anthropic models will be able to detect the watermarks to help identify AI-generated content, and Anthropic will support third-party AI detectors to do the same.

这项新政策是 Anthropic 对欧盟 AI 生成内容行为准则承诺的一部分，而这个准则又是 EU AI Act 的一部分。

This new policy is part of Anthropic's commitment to the EU Code of Practice on AI-generated content, part of the EU AI Act.

现在，有争议的地方在于，Anthropic 并不是像其他公司那样，只是在图片或视频里加入水印，以对抗 deepfakes 带来的危害。

Now, the controversial part is that Anthropic is not just including watermarks in images or videos to combat the harms of deepfakes as other companies have done.

相反，他们是在所有生成文本里嵌入水印。

Instead, they're embedding the watermarks in all generated text.

而且重要的是，它不是在 metadata 里，而是以某种方式包含在文本本身之中。

And importantly, it is not in the metadata, but instead the watermark is somehow included in the text itself.

Anthropic 声称你看不出来，而且它不会改变 Claude 回复的含义、质量或可读性。

Anthropic claims you won't see it, and it doesn't change the meaning, quality, or readability of Claude's response.

因为水印是文本的一部分，所以当文本被复制粘贴到别处时，它会跟着文本一起过去，而且在某些编辑之后可能仍然保留。

Because the watermark is part of the text, it will travel with the text when it's copied and pasted elsewhere and may persist through some editing.

这项政策会应用到所有地区的所有模型。

The policy is being applied to all models in all regions.

所以即使你不在欧盟，你的 Claude 输出内容也仍然会带水印。

So even if you're not in the EU, your Claude outputs will still be watermarked.

很多人非常怀疑 Anthropic 能否在不降低输出质量的情况下做到这一点。

Folks were very skeptical that Anthropic can achieve this without degrading the quality of the outputs.

Orf 写道，这个水印基本上会是模型用词选择的统计特征。

Writes Orf, the watermark will basically be the statistical signature of word choice of the models.

Anthropic 声称这不会影响质量，但这事看起来并不显然，因为他们会限制模型采样、影响 token 的选择，而且可能会让模型在后续表现得没那么有创造力、没那么有发明性。

Anthropic claims this won't affect quality, but this seems non-obvious given that they'll be constraining the model sampling and biasing token choice, and potentially making the model less creative and inventive downstream.

EU 又来这一套了。

The EU does it again.

现在，要用短短几条 tweet 来描述大家对此有多愤怒，会很难。

Now, it would be hard to describe in just a couple of tweets how upset people are about this.

意识到这不只是针对普通文字写作，也包括代码写作，developer Nick Dobos 写道，Claude 要在我的 codebase 里加 invisible watermarks？

Recognizing that this is not just for regular word writing but also for code writing, developer Nick Dobos wrote, Claude adding invisible watermarks inside my codebase?

完全是胡扯。

Total BS.

这是在开一个恶劣到离谱的先例。

Diabolical precedent to be setting.

我们到底他妈的在干什么？

What the fuck are we even doing here?

关于 Anthropic 的 watermarker 有个问题：如果我让 Claude 做研究，而这个研究需要引用某些内容，比如一份法律文件，那这个引用会不会为了加入 watermark，被悄悄改得和原文不一样？

Question about Anthropic's watermarker: if I task Claude with doing research and that research requires quoting something like a legal document, will the quote be subtly changed from the source to introduce the watermark?

因为这太可怕了。

Because that's terrifying.

如果不会，我们怎么能确定？

If not, how can we be sure?

而 Andrew Curran 指出，Gemini 从 2024 年开始就一直在做类似的事，但这并没有让大家感觉好多少。

And while Andrew Curran points out that Gemini has been doing something like this since 2024, that didn't make people feel much better.

当然，这场争论值得讨论的不只是标题那么简单，但目前来说，这就是这个话题的入门背景，而且我敢肯定，我们之后还会继续听到很多相关消息。

Now, this is a debate that's worthy of more than just the headlines, but for now, that's the primer on the topic, and I am sure it is not the last that we will be hearing about this.

说到 Google，这家公司宣布 Gemini app 的用户数已经达到十亿。

Speaking of Google, the company has announced that they have reached a billion users for the Gemini app.

CEO Sundar Pichai 在周二宣布了这个里程碑，他发帖说，现在每个月有超过十亿人在使用 Gemini app，激发新想法并把事情做成。

CEO Sundar Pichai announced the milestone on Tuesday, posting, 1 billion+ people are now using the Gemini app every month to spark new ideas and get things done.

这是我们有史以来增长最快的产品，也是我们第十四个达到十亿用户规模的产品。

It's our fastest-growing product ever and our 14th to hit the 1 billion user mark.

现在，有些人对此有点怀疑，因为 Gemini 被整合进了 Search、YouTube 和其他平台，但 The Verge 证实，本周这个十亿用户的里程碑，具体指的就是 Gemini app。

Now, some are a bit skeptical of this, given that Gemini is integrated into Search, YouTube, and other platforms, but The Verge confirmed that this week's billion-user milestone applies specifically to the Gemini app.

Google 已经开始在 Android 手机上预装 Gemini，但这些用户仍然需要实际使用这个 app，才会被计入这些数字。

Google has begun pre-installing Gemini onto Android handsets, but those users still need to engage with the app to be included in these numbers.

Google 还分享了一些有意思的细节，说明用户是怎么和他们的 chatbot 互动的。

Google also shared some interesting details about how users are interacting with their chatbot.

百分之六十三的用户在使用语音界面，这显示出人们有多想摆脱键盘。

63% of users are using the voice interface, demonstrating how eager people are to ditch the keyboard.

Gemini 的 image model 也保持了巨大的使用量，用户每天生成一亿五千万张图片。

Gemini has also retained massive volume for their image model, with users generating 150 million images per day.

真正有意思的是，这说明了模型现状的什么问题。

What's really interesting is what this says about the state of models.

Olga Zirkun 指出，Google 现在没有任何一个 AI model 排进前十，这表明在消费者市场里赢的不是产品，而是分发渠道。

Olga Zirkun points out that Google doesn't have an AI model in the top 10 right now, suggesting this means what wins in consumer markets isn't the product, it's distribution.

但你也得想到，那十亿用户里有很多人根本不知道自己错过了什么，因为他们所有的 AI 使用都困在一个模型里，而这个模型到目前为止至少已经落后 frontier 六个月了。

But you also have to think that a lot of those billion users have no idea what they're missing, given that all of their AI use is stuck in a model that is at this point at least 6 months behind the frontier.

现在，我们先继续在产品层面停留一下，Manus 在完成与 Meta 的拆分后，正以独立公司的身份回归。

Now, staying on the product side for a minute, Manus is returning as an independent company after finalizing their split with Meta.

Manus 在十二月以二十亿美元被 Meta 收购，但在随后的几个月里，中国官方对这笔交易进行了审查，并在四月下令撤销交易。

Manus was acquired by Meta for $2 billion in December, but in the following months, Chinese officials scrutinized the deal and in April ordered it to be unwound.

看起来，国家安全方面的担忧是，这笔巨额套现会鼓励更多中国 startup 和人才寻求在西方退出。

The national security concern, it seemed, was that the big payday would encourage more Chinese startups and talent to seek an exit in the West.

在此期间，围绕 Manus 将如何筹钱偿还 Meta，一直有很多讨论，因为这些资金已经分发给了投资人。

In the interim, there has been swirling discussion on how Manus will raise the money to repay Meta, given that the funds had already been distributed to investors.

不过在周二，Manus 宣布他们很快会作为一家独立公司回归，继续服务他们数百万用户。

On Tuesday, however, Manus announced that they'll soon return as an independent company serving their millions of users.

不过，为了完成与 Meta 的分离，他们需要删除一些十二月二十九日之后生成的用户数据。

However, to complete their separation from Meta, they need to delete some user data generated after December 29th.

他们建议所有用户在八月二十三日这个过渡日期之前备份自己的数据，并表示独立系统将从八月二十五日起上线。

They advised all users to back up their data ahead of the transition date on August 23rd and said that independent systems will be online from August 25th.

现在，最大的问题是，这会不会成为 Manus 的一个全新开始，让他们重新回到 agent 竞赛里。

Now, the big question is whether this is a fresh start for Manus that will let them get back in the agent race.

他们在 X 上的一篇帖子里写道，展望未来，我们对未来感到无比兴奋。

In a post on X, they wrote, as we look ahead, we couldn't be more excited by the future.

我们正在准备一系列新功能，它们将再次突破通用 AI agents 能做到的边界。

We're preparing a series of new features that will push the boundaries of what's possible for general AI agents once again.

坦白说，虽然保持怀疑是合理的，但你也得想想，在他们现在背水一战、同时又保持独立的情况下，他们会追求的创新，肯定会比我们在 Meta 这个巨头内部看到的多得多。

And frankly, while it's reasonable to be skeptical, you gotta think that the innovation that they will pursue now as their backs are against the wall and as they remain independent is a lot more than what we would have seen from inside the behemoth that is Meta.

正如 Peter Corbett 指出的那样，回到零美元 ARR 再重新开始，这会成为一个很有意思的案例研究。

As Peter Corbett points out, going back to $0 ARR and starting again is going to make for an interesting case study.

说到 AI 行业里的热门细分领域，OpenRouter 一百亿美元的估值显然已经在 router 这个赛道引发了一场竞购战。

Now, on the topic of hot segments of the AI industry, OpenRouter's $10 billion price tag has apparently triggered a bidding war across the router segment.

The Information 报道称，市场对收购 token router 的兴趣已经高得离谱，多家大型软件公司都在寻求把这类基础设施加入自己的技术栈。

The Information reports that interest in token router acquisitions is off the charts, with multiple large software companies looking to add the infrastructure to their stack.

据报道，Snowflake 正和 Base10、Cloudflare、Vercel 一起在市场上寻找机会，而且这种兴趣已经延伸到了这个领域里一些非常小的初创公司。

Snowflake is reportedly in the market alongside Base10, Cloudflare, and Vercel, and the interest is reaching some very small startups in the space.

Requesty 的 CEO Thibault Jaigu 表示，他这家只有五个人的初创公司，已经收到二十五家不同公司的接触，对方希望投资、收购，或者与 Requesty 建立合作。

Thibault Jaigu, the CEO of Requesty, said that his 5-person startup has fielded interest from 25 different companies looking to invest, acquire or partner with Requesty.

Myriad Venture Partners 的 Dean Mai 投资组合里有一个小型 token router 项目，他认为现在是卖方市场。他评论说，对数据基础设施公司和 hyperscalers 来说，现在不考虑收购是不明智的。

Dean Mai of Myriad Venture Partners, which has a small token router play in his portfolio, thinks it's a seller's market, commenting, it would be unwise for data infrastructure players and hyperscalers not to entertain acquisitions right now.

token router 公司 Concentrate AI 的联合创始人 Ari Jacoby 说，就在这个月，到目前为止已经有七家公司找过他。他评论说，过去两周我们受欢迎的程度简直难以置信，这是我以前完全想象不到的。

Ari Jacoby, the co-founder of token router Concentrate AI, said that he's been approached by 7 companies so far this month, commenting, we've been unbelievably popular for the past 2 weeks in a way that I could have never imagined before.

换句话说，此刻看起来，大公司和行业既有玩家已经认定，即便他们自己也能做出这种功能，速度的需求也压倒一切，现在就是该买的时候。

In other words, it seems at this moment that the large companies and incumbents have decided that even if they could build this sort of functionality, the need for speed trumps all and it is time to buy.

先转到市场方面说一下，另一个故事其实完全可以单独做成一整期主线内容。

Moving over to markets for a moment, another story which could easily be an entire main.

Nvidia 正在搭建一个五千亿美元的平台，用来帮助改善数据中心的融资环境。

Nvidia is putting together a $500 billion platform to help improve the financing landscape for data centers.

这个平台是在周一宣布的，将由包括 Apollo、BlackRock 和 Blackstone 在内的投行和私募信贷巨头提供融资。

Announced on Monday, the platform will provide financing from investment banking and private credit giants including Apollo, BlackRock, and Blackstone.

这些公司将向 neoclouds 提供信贷，帮助推动数据中心建设。

These firms will provide credit to neoclouds to help fuel the data center buildout.

这项安排的细节还不是完全清楚，但看起来，这种做法可能会把多家贷款方聚在一起，把数据中心债务标准化。

The details of the arrangement aren't entirely clear, but it appears the approach could bring together multiple lenders to standardize data center debt.

看起来 Nvidia GPUs 也会被接受为抵押品，而收入分成也可能成为安排的一部分。

It also appears that Nvidia GPUs will be accepted as collateral, and revenue sharing could be part of the arrangement.

Jensen Huang 在一份新闻稿中表示，Nvidia 已经到达了一个重要里程碑。

In a press release, Jensen Huang said, Nvidia has reached an important milestone.

我们最初是从制造芯片开始的。

We began by building chips.

今天，我们正在帮助创造一类新的、有生产力的、可投资的基础设施。

Today, we are helping create a new class of productive, investable infrastructure.

AI factories。

AI factories.

在 AI 领域，算力就是收入。

In AI, compute is revenue.

Nvidia compute 非常适合扮演这个角色。

Nvidia compute is uniquely suited for this role.

它被广泛采用，能够灵活适配各种模型和工作负载，可以互换，也可以在不同客户和运营商之间转移。

It is broadly adopted, flexible across models and workloads, fungible and transferable across customers and operators.

这些融资平台将帮助客户大规模获得稀缺算力，并建设 AI factories，在 AI 时代为每个行业和每个国家提供动力。

These financing platforms will help customers access scarce compute at scale and build the AI factories that will power every industry and country in the age of AI.

在 CNBC 的一次采访中，Huang 把这描述为 AI 融资的新范式。他说，这真的是技术芯片第一次成为一种可投资的资产类别。

In a CNBC interview, Huang presented this as a new paradigm for AI financing, saying, this is really the first time that technology chips have become an investable asset class.

这些现在是能产生收入的资产。

These are revenue-generating assets now.

它们有生产力，寿命长，可以互换，也很灵活。

They're productive, they're long-lived, they're fungible, they're flexible.

当然，对于那些担心循环融资的看空者来说，这简直就是在他们担忧的火上猛浇汽油。

Now, of course, for the bears who are worried about circular funding, this is just pouring absolute gasoline on the fires of their concerns.

但对其他更中立的市场参与者来说，这个举措似乎正在带来回报。

But for other more neutral market actors, the move seems to be paying dividends.

周二，Nvidia 的信用利差收窄，这意味着违约风险更低；它们的债券也上涨了，从而降低了下一轮借款所隐含的利率。

Tuesday saw Nvidia's credit spreads close, implying a lower risk of default, and their bonds also rallied, reducing the implied interest rate for the next round of borrowing.

所以至少就 Nvidia 自身而言，市场基本上把这个新工具解读为：Nvidia 正在把亏损风险分散给多个其他方。

So at least when it comes to Nvidia themselves, essentially, the market interpreted the new vehicle as Nvidia spreading the risk of losses across multiple other parties.

如果我们看到 AI 放缓，投资者就不再预期 Nvidia 会因为收入减少和数据中心坏账而遭受双重打击。

If we see an AI slowdown, investors no longer expect Nvidia to take a double hit from reduced revenue and bad debt from data centers.

Coherence Credit Strategies 的 CIO Sal Naro 表示，没人知道这笔潜在的五千亿美元融资到底意味着什么。

Sal Naro, the CIO at Coherence Credit Strategies, said nobody knew what the $500 billion potential financing meant.

而今天，你会有这样一种理解：他们正在把所有人都拉进来，而且他们的风险敞口并没有投资者最初担心的那么严重。

Today, you have an idea that they're getting everybody involved and that their exposure isn't as serious as investors originally feared.

今天最后一条，继续关注 Washington 的动态，Senator Bernie Sanders 已经正式加入暂停运动。

Lastly today, keeping track of things in Washington, Senator Bernie Sanders has officially joined the pause movement.

他还呼吁 Sam Altman、Dario Amodei 和 Mark Zuckerberg 也这样做。

And is calling on Sam Altman, Dario Amodei, and Mark Zuckerberg to do the same.

在写给这三人的信中，他写道，几乎每天都会有新的报道，说你们的公司正在失去对你们所开发的 AI 技术的控制，而后果可能是灾难性的。

In a letter to the trio, he wrote, almost every day there is a new story about how your companies are losing control of the AI technology you are developing with potentially cataclysmic results.

他把最近关于使用 AI 创造新型病毒的科学研究作为主要例子，并声称，这类技术发展如果落入坏人之手，可能会带来新的生物武器，导致数千万人死亡。

He referenced the recent scientific research about using AI to create novel viruses as the prime example, claiming, this type of development in the wrong hands could lead to new bioweapons that result in the deaths of tens of millions of people.

当然，实际那项研究和这三家公司中的任何一家都没有关系，而且使用的 AI 类型也和它们的 LLM 完全不同。

This is, of course, despite the actual research having no connection to any of these 3 companies and using a completely different type of AI from their LLMs.

但为了 Sanders 的论点，这些都算 AI。

But for the sake of Sanders' argument, it's all AI.

Sanders 还提到了 Hugging Face 黑客事件，认为那明显违反了联邦法律。

Sanders also referenced the Hugging Face hack, arguing it was a clear violation of federal law.

而在信的结尾，Sanders 用略带威胁的语气总结说，让我说得非常清楚。

And leaving the letter on a slightly threatening note, Sanders concluded, let me be very clear.

如果你们现在不采取适当行动，我和我在 Senate 的同事们会采取行动。

If you do not take appropriate action now, my colleagues and I in the Senate will.

这只是 Washington 气氛升温的又一个例子。

Just another example of the temperature rising in Washington.

不过现在，今天的头条就到这里。

For now, though, that is going to do it for today's headlines.

接下来是本期的主要节目。

Next up, the main episode.

M114:38

欢迎回到 AI Daily Brief。

Welcome back to the AI Daily Brief.

我真的不记得上一次看到大家对一个产品发布这么兴奋是什么时候了，而这次大家对刚刚发布的 GrokBot 就是这么兴奋。

I genuinely don't remember the last time I saw people as excited about a product announcement as people have been about the newly announced GrokBot.

而说到底，我觉得原因其实很简单。

And when push comes to shove, I think the reason why is pretty simple.

自从 OpenCLAW 在今年年初发布以来，人们一直在寻找各种方式，想代表自己构建并部署 agents，理想情况下，要比那种技术上相当复杂的系统更简单。

Ever since OpenCLAW came out at the beginning of the year, people have been looking for ways to build and deploy agents on their behalf, ideally in a simpler way than what that sort of technically complex system required.

这方面已经有过各种尝试，但还没有哪个真正站住脚。

There have been a variety of shots on that goal, but nothing has really stuck.

但第一印象显示，GrokBot 可能就是那个东西。

But first impressions suggest that that's what GrokBot might be.

说实话，和 GrokBot 交互的界面看起来很像 Telegram，而 Telegram 当然也是 OpenCLAW 刚推出时，大多数人与它交互的地方。

The interface for interacting with GrokBot looks frankly like Telegram, which is of course where most people were interacting with OpenCLAW when it first came out.

开始使用时，你可以创建一个新的 bot，也可以和你已经启动过的 bot 互动。

To get started, you can either create a new bot or you can interact with a bot that you've already initiated.

你通过聊天窗口和你的 Grok bots 交互，方式和你当初使用 OpenCLAW 时完全一样，说实话，也和你使用 Claude 或 Codex 时完全一样。

You interface with your Grok bots through the chat window exactly as you had with OpenCLAW and frankly exactly as you do with Claude or Codex.

而 Grok bots 会在自己的虚拟计算机里后台运行，也就是说，当任务在云端运行时，你还可以继续做自己的事。

And Grok bots work in the background in their own virtual computer, meaning you can keep working while the task is running in the cloud.

它还能够通过人类使用的界面来操作它的计算机，所以它可以登录 web apps，并在没有 APIs 的情况下操作软件。

It's also capable of using its computer through human interfaces, so it can sign into web apps and operate software without APIs.

当它需要你授权某件事时，它就会直接弹出那个窗口。

When it needs you to authorize something, it'll simply bring up that window.

并且让你在它的虚拟机上登录，就像你在自己的电脑上登录一样。

And have you sign in on its virtual machine in the same way that you would on yours.

GrokBot 当然是由 xAI 模型家族驱动的，而这些模型现在又重新变得有竞争力了。也就是说，虽然在某些任务上它可能不如 Claude 或 5.6 Sonnet，但这个 agent 很可能已经足够好，可以端到端处理各种工作任务。

GrokBot is of course powered by the family of xAI models, which are once again getting competitive, meaning that while it might not be as good as Claude or 5.6 Sonnet on certain tasks, the agent likely will be good enough to handle a wide range of work tasks end to end.

事实上，等一下我们会看到，xAI 说他们一直在内部测试 GrokBot，而它基本上已经接管成了一种核心工作工具。

In fact, as we'll see, xAI says they've been testing GrokBot internally and it has basically taken over as a core work tool.

当然，这些功能本身都不算全新，但他们把这些元素组合在一起的方式，以及易用性，已经有了巨大的飞跃。

Now, none of this is net new functionality, but the way that they've put together the elements and the ease of use has made a huge leap.

这个界面，同样还是那种简单的 Telegram 风格界面，把所有复杂性都抽象掉了，其中也包括很多高级功能的原生集成，而这些功能在其他产品里一直很难用，或者让人失望。

The interface—again, that simple Telegram-style interface—abstracts all the complexity away, and that includes the native integration of a lot of advanced features that have been difficult to use or disappointing in other products.

比如，你可以同时运行多个 bot，但它并不会让人觉得眼花缭乱，因为 bot 之间的消息系统和清爽的界面，会让管理一组 agent 这件事感觉可行得多。

For example, you can run multiple bots at the same time, but rather than being overwhelming, the inter-bot messaging system and clean interface makes it feel way more achievable to manage a team of agents.

你甚至可以组建一整支 agent 团队，每个 agent 都有特定角色和自己的名字。

You can even build a whole team of agents, each with a specific role and individual name.

你的 Grok bot 可以彼此协调，让它们像一个整合在一起的 agentic 系统一样运作。

Your Grok bots can coordinate with one another, allowing them to function like a single integrated agentic system.

而且，虽然 GrokBot 目前还没有存在于 Slack 或 Microsoft Teams 这样的职场通讯应用里，但你可以设置它们，让它们跨不同人的账号一起工作。

And while GrokBot doesn't currently live in workplace messaging apps like Slack or Microsoft Teams, you can set them up to work together across individuals' accounts.

这其实整合了一个从 RPA 时代就一直存在的承诺。因为 Grok bot 本质上是一个使用虚拟机的 computer-use bot，所以你可以非常容易地训练它完成常见工作流：只要在你下一次做某个特定任务时，简单地让它跟着看就行。

Integrating a promise that's been around with us since the days of RPA, because the Grok bot is at core a computer-use bot using its virtual machine, you can really easily train it on common workflows by asking it simply to follow along the next time you do a particular task.

xAI 说，这个 bot 会观察这些步骤，并记住这项工作是怎么完成的，然后把这个工作流保存成一个 routine。

xAI says that the bot will watch the steps and remember how the work gets done, saving the workflow as a routine.

你也可以在这个过程中不断迭代，提供纠正来改进 bot 的工作流，有点像是通过屏幕录制来创建一个 skill，但原生得多。

You can also iterate on this process, providing corrections that improve the bot's workflow, kind of like being able to create a skill with a screen recording, but much more native.

公司表示，Grok bot 会随着时间学习并变得更好，会调整写作风格、处理边缘情况，甚至知道什么时候该停下来询问澄清。

The company says that the Grok bots will learn over time and get better, adjusting things like writing style or handling of edge cases, or even knowing when to stop and ask for clarification.

现在，每当一个新产品发布时，我一直会观察的一件事，就是打造它的团队是怎么谈论它的。

Now, one thing that I always watch when a new product gets launched is how the team that built it is talking about it.

你可能会怀疑这到底有多大价值，因为打造它的团队当然会吹它，对吧？

And while you might wonder how valuable that is, because of course the team that built it is going to shill it, right?

但我觉得，其实你可以从一个团队谈论自己所打造东西的方式里，得到很多有效信号。

I think you can actually get a lot of signal for how a team talks about the thing that they've built.

而 Cursor 和 xAI 的团队，对于他们来说这是最早期的几个大型合作产品之一，他们对这个东西简直赞不绝口。

And the team at Cursor and xAI, for whom this is one of their first major collaborative products, are absolutely raving about this thing.

我们与 AI 的关系，正在从来回聊天，转向把真正的工作托付给一组 agent。

Our relationship with AI is shifting from chatting back and forth to entrusting a team of agents with real work.

GrokBot 让我们看到了那个未来的一角。

GrokBot is a glimpse of that future.

这是我参与过的最酷的项目之一。

This is one of the coolest projects I've worked on.

GrokBot 在内部几乎是瞬间就展现出了疯狂的 product-market fit。

GrokBot had insane product-market fit internally almost instantly.

对公司很多人来说，bot 已经成了他们所有工作的入口。

For much of the company, bots have become the interface for all of their work.

Cursor 的 Ricky Dore 写道，GrokBot 并不是一个新概念，但它的执行无可挑剔。

Cursor's Ricky Dore writes, GrokBot is not a new concept, but its execution is flawless.

一个好的 harness、cloud computing、大幅进步的 computer use，以及 state-of-the-art models，能做到的事情真的令人震撼。

It's mind-blowing what a good harness, cloud computing, massively advanced computer use, and state-of-the-art models are capable of.

每天我都会把自己工作中更多的百分之二十自动化掉，这样我就能发现下一个值得投入精力的前沿百分之二十。

Every day I automate 20% more of my job so I can discover the next frontier 20% to focus on.

社区里的第一印象也同样积极。

First impressions in the community were similarly positive.

Vishal Singh 的脑子里一下子炸出了各种各样不同的使用场景。

Vishal Singh's brain exploded with all sorts of different use cases.

他把 GrokBot 形容为其实有点离谱，并说，它可以自己打开一台电脑，登录你的应用，像人一样使用网站，在你睡觉时工作，清理你的收件箱，发送邮件，更新你的 CRM，研究人物和公司，用你的风格写 LinkedIn 和邮件草稿，记住你的工作方式，看你做一次之后就学会一个工作流，并永远运行那个工作流，和其他 bot 协调，只在需要你做决定时才打扰你，还有更多我还没搞明白的东西。

Calling GrokBot actually kind of ridiculous, he says, it can open a computer by itself, log into your apps, use websites like a human, work while you sleep, clean your inbox, send emails, update your CRM, research people and companies, write LinkedIn and email drafts in your style, remember how you work, learn a workflow after watching you once, run that workflow forever, coordinate with other bots, only bother you when it needs a decision, and so much more that I'm yet to decipher.

这与其说是 AI assistant，不如说是那个不知道怎么一夜之间就成了 COO 的实习生。

This is less AI assistant and more the intern who somehow became COO overnight.

对 GrokBot 的第一印象是，我给了它一个 GitHub 链接，并告诉它去读代码，不只是读 README。

First impression with GrokBot, I gave it a GitHub link and told it to read the code, not only the README.

它通过 API 拉取了每一个文件，并把整个代码库都拆解分析了一遍。

It pulled every file through the API and broke down the entire codebase.

这东西可不只是一个聊天机器人。

This thing is not just a chatbot.

我跟这个 bot 聊了一下、想弄明白它怎么工作之后，第一印象是：这是我目前从任何头部公司那里见过的、最好的主流 agentic AI 交互界面。

My first impression after chatting with the bot to understand how it works is that this is currently the best mainstream interface for agentic AI that I've seen from any leading company.

他解释说，它用的是一台虚拟机，但也可以访问你的本地文件系统。

He explains that it uses a virtual machine but can also access your local file system.

他说，真正神奇的地方，也就是关键差异点在于，你其实不需要来回切一堆 UI 选项，也不用做什么设置。

The magic, he says, and the key differentiator is that you don't actually have to toggle a bunch of UI options or set anything up.

我觉得很多人打开 Claude Code、GPT Work 或者 Codex，会完全不知道到底发生了什么，然后就直接放弃了，因为他们根本不想花力气去研究。

I think a lot of people open Claude Code or GPT Work or Codex and don't know WTF is going on and just bail because they don't feel like figuring it out.

我只是安装了 GrokBot，接上我的 connectors，然后开始问它问题，剩下的它就都处理了。

I just installed GrokBot, hooked up my connectors, and just started asking it stuff and it just handled the rest.

我真的挺震惊的，我只是开口问了一句，它就跳进了我 Mac 上的一个本地文件夹。

I was actually shocked when it jumped into a local folder on my Mac just from me asking.

没有什么 UI 开关，也不需要你做任何操作来告诉它该去哪里。

There's no UI toggle or anything you need to do to point it where you want it to go.

你只要告诉它要做什么，它会向你请求权限，然后在后台把所有事情处理掉。

You just tell it what to do and it asks for your permissions and handles everything in the background.

它还声称，当我使用 iOS app 的时候，如果我的 prompt 里有需要用到 Mac 的事情，它会把我的 Mac 当作主力机器来调用。

It also claims that when I use the iOS app, it reaches for my Mac as a primary machine if I prompt it with something that requires using my Mac.

所以基本上它就是一个远程控制器，但你不用像用 Dispatch 那样，专门进入 UI 的某个特定区域。

So basically it's a remote control, but you don't have to go into a specific part of the UI like you did with Dispatch.

它就是直接去做。

It just does it.

他总结说，这就是实现大规模普及所需要的东西。

This, he concludes, is what it's going to take to get mass adoption.

把 agentic AI 包装成一个特别容易使用的产品，让人们拆开就能直接上手开干。

Agentic AI wrapped up in a product so easy to use that people will be able to just unwrap it and start cooking.

另外，早期讨论里还有一点让我觉得很值得注意：很多时候你会听到人们大夸特夸，但并不会具体说他们到底怎么用的。

Now, another notable thing in the early discourse to me is that a lot of times you hear people raving about it without being specific about how they used it.

但我看到很多人真的在谈自己的 use case，以及具体是什么地方打动了他们。

But I saw a ton of folks actually talking about their use cases and what had impressed them in specific.

Tesla 的 Yuntu Sai 写道，GrokBot 能够做到：A，查看日历，找出所有我需要提前预订但还没订的东西；B，判断最适合预订的时间；C，在我走在停车场、还没到车旁边的时候，在网站上完成预订流程。

Tesla's Yuntu Sai writes, GrokBot was able to A, go through the calendars and find anything I need to make reservations for beforehand that I hadn't done yet, B, determine the best time to make reservations, and C, navigate the reservations on a website while I was walking in the parking lot before getting to my car.

我当时是用中文和英文混着跟它说话。

I was talking to it in mixed Chinese and English.

我是真的服了。

Color me impressed.

真正让 GrokBot 特别的，是那些小细节。

The little details are what make GrokBot special.

比如，我设置了一个 researcher bot 和一个 writer bot，然后又做了一个 chief of staff bot，让它去协调另外两个 bot 一起做一个项目。

For example, I set up a researcher bot and a writer bot, then made a chief of staff bot and asked it to get the other two working together on a project.

我去检查的时候，本来完全预期它会崩掉，因为这东西不可能开箱即用就能跑通。

I checked in fully expecting that to fall apart because there was no way it would work out of the box.

结果它开箱即用就跑通了。

It worked out of the box.

他说，老实讲，这感觉可能就是那个能让几百万普通人第一次开始使用 agents 的东西。

Honestly, he says, this feels like it could be the thing that gets millions of normal people using agents for the first time.

而这也确实是很多人的直觉：我们最早在 OpenClaw，后来在 Hermes 这类地方看到的那个愿景，也许终于要借助 GrokBot 这样的东西迎来规模化的时刻了。

And that was really the gut sense for a lot of folks, that the promise we first saw in places like OpenClaw and then Hermes might finally be getting its moment to scale with something like GrokBot.

a16z 的 Martin Casado 说，这是我用过的第一个真正把虚拟同事这个概念做对的产品。

a16z's Martin Casado says, this is the first product I've used that really nails the virtual coworker.

我怀疑，未来我们会把这次发布看作一个关键时刻，因为它让 AI 在工作场景里的抽象方式真正找准了方向。

I suspect we'll view this launch as a pivotal moment in getting the abstraction for AI in the workplace right.

Hiten Shah，如果你关注他就知道，自从 OpenClaw 出现以来，他一直在深入研究 agent building。他写道，我花了好几个月用很困难的方式来构建 agents。

Hiten Shah, who if you follow him has been going deep on agent building ever since OpenClaw came about, wrote, I spent months building agents the hard way.

我给它们配服务器、记忆、技能、工具和循环。

I gave them servers, memory, skills, tools, and loops.

我把它们放进 Slack 里，并围绕它们搭建了恢复机制。

I put them in Slack and built recovery around them.

其中一个帮我在六天内发布了一个产品。

One helped me ship a product in six days.

同一个系统也会卡住、丢失上下文，然后把那些没收尾的边角工作又交还给我。

The same system also stalled, lost context, and handed the unfinished edges back to me.

我自己变成了基础设施。

I became the infrastructure.

这就是为什么 GrokBot 对我的冲击这么大。

That's why GrokBot hit me so hard.

我很早就开始测试它了。

I've been testing it early.

它的 bots 会彼此协作，在一个持久运行的电脑环境里工作，并且在你离开的时候，继续跨你的文件和已登录的 apps 往前推进。

Its bots coordinate with each other, work from a persistent computer, and keep going across your files and logged-in apps while you are away.

我知道这个团队做出了什么，因为其中很多东西我以前都是手工拼出来的。

I recognize what the team built because I had assembled so much of it by hand.

GrokBot 把 agent 周围更多那些看不见的工作，搬进了产品里。

GrokBot moves more of the invisible work around the agent into the product.

这就是我一直在等的那个缺失的工作 agent。

This is the missing work agent I have been waiting for.

但没有哪个产品一开箱就能完美，对吧？

But no product can be perfect right out of the box, right?

那大家的抱怨在哪里呢？

So where are people's complaints?

一个小问题，是 Cursor 和 xAI 之间的命名规范。

One small one is around the naming conventions between Cursor and xAI.

Mike P 又写道，Cursor 和 xAI 的重叠让人有种 Venmo 和 PayPal 的感觉。

Mike P again writes, the Cursor-xAI overlap is giving Venmo-PayPal vibes.

Cursor 和 Grok 会一直保持为两个独立的东西吗？

Are Cursor and Grok going to stay separate things?

这个叫 GrokBot，但我却被导向了一个 Cursor 登录入口。

This is called GrokBot, but I'm getting routed to a Cursor login portal.

我需要把我的 Grok 账号连接到 Cursor，才能启动一个 Grok 产品。

I need to connect my Grok account to Cursor to launch a Grok product.

我们这到底是在干嘛，兄弟们？

What are we doing here, fam?

确实，对一些人来说，Grok 背负的包袱太多，让他们很难对这个新产品感到兴奋。

And indeed, for some, Grok has too much baggage to be excited about this new product.

如果是 CursorBot，我本来会很兴奋地去试，但我对试 GrokBot 几乎没什么兴趣。

I would have excitedly tried CursorBot but have little to no interest in trying GrokBot.

对我来说，它的负面包袱太重了，我根本不可能信任它去访问任何东西。

Way too much negative baggage for me to ever trust it with access to anything.

我会等 OpenAI 和 Anthropic 那些必然会推出的产品。

I'll wait for the inevitable offerings from OpenAI and Anthropic.

除此之外，也有些人的体验就是不太好。

Beyond that, some people just didn't have a great experience.

不好意思各位，但 GrokBot 感觉像是一个闪亮的新玩意儿，demo 里看起来惊艳，可实际上还没准备好进入主流使用。

Sorry guys, but GrokBot feels like a shiny object that looks incredible in demos but simply isn't ready for primetime.

它的经济账是坏的——你光是想把它带上手，就会烧掉大量 tokens，然后又被推着花更多钱才能继续用下去。

The economics are broken—you burn through tokens just trying to onboard it, then get pushed towards spending more just to keep going.

这不是一种可持续的工作流——感觉像一台坏掉的老虎机。

That's not a sustainable workflow—it feels like a broken slot machine.

更大的问题是记忆——它会忘记上下文，搞丢任务进度，而且在更长的项目里很难保持连续性。

The bigger issue is memory—it forgets context, loses track of tasks, and struggles to maintain continuity across longer projects.

一个 AI coding agent 需要记住任务目标，而不是每隔几个小时就像失忆了一样。

An AI coding agent needs to remember the mission, not act like it has amnesia every few hours.

现在，我想呈现完整范围的观点，所以我把这个也放进来。

Now, I want to provide a full range of views, so I'm including this.

不过，这绝对不是我看到的常见看法。

However, this was definitely not a common take that I saw.

所以你可以把它放到具体语境里看，或者按你想要的方式保留一点怀疑。

So contextualize it or give it whatever grain of salt you want.

其他抱怨还包括六月的一条，说 GrokBot 虽然有一个非常干净的 UI，引用一下，它仍然严重依赖各种 integrations。

Other complaints include this one from June, saying that while GrokBot has a really clean UI, quote, it still heavily relies on integrations.

没人想在 onboarding 的时候连接二十多个工具。

No one wants to connect 20+ tools during onboarding.

另外，我也不确定人们是不是想为每个任务都创建一个专门的 agent。

Plus, I'm not sure people want to create a specialized agent for every task.

我唯一真正的抱怨是 model router，如果他们把这个做好了，最后会是一个巨大的胜利，但我测试的时候它表现并不太好。

My only real complaint, which if they nail it will end up being a huge win, was the model router, which wasn't great when I tested it.

你不会为自己的 GrokBot 选择一个 model，这件事是在 backend 自动完成的。

You don't choose a model for your GrokBot, it's done automatically on the backend.

如果做得好，对普通用户来说会非常棒；但如果做得不好，对 power users 来说就会很让人沮丧。

Incredible for regular users when it's done well, but frustrating for power users when done poorly.

Schumer 也补充说，有人告诉我，自从我测试之后，他们已经把它改进了很多。

Schumer did add, I'm told they've made it much better since I tested.

Max Blade 指出了一个功能性问题，就是通过 GrokBot 的 virtual computer 登录你的各种服务。

Max Blade points out a functional issue of logging into your services through GrokBot's virtual computer.

他说，现在最大的问题是 data center IP address 会让日常网站出现 bot blockages，这让像从 Walmart 订购杂货这样的事情变得很麻烦。

He says the biggest issue right now is the data center IP address creates bot blockages on everyday websites, which makes things like ordering groceries from Walmart problematic.

不过他也指出，引用一下，这个问题会通过扩展他们内置的 connectors 和 plugins 来解决，从而在各处提供 official support。

Although he notes, quote, this will be solved by expanding their built-in connectors and plugins to give official support everywhere.

也许除此之外，还有一个更广泛的信任问题，这并不是 GrokBot 独有的，但随着这些工具变得越强大、越深度地融入我们的工作和个人生活，这个问题就会变得越发尖锐。

Maybe beyond that, there's just a broader question of trust that is not unique to GrokBot, but becomes more poignant the more powerful and the more deeply integrated into our work and personal lives these tools get.

Peter Yang 写道，这件事的挑战，也包括我相信其他 major labs 即将推出的产品，第一，你怎么让普通用户信任，把自己的 credentials 和 logins 交给一台 remote computer？

Peter Yang wrote, the challenge with this, and I'm sure upcoming products from the other major labs, is one, how do you get regular users to trust sharing their credentials and logins with a remote computer?

第二，你怎么让他们放心，相信这台 remote computer 是安全的，而且真的是属于他们、可以让他们使用的？

Two, how do you reassure them that this remote computer is secure and truly theirs to play with?

说实话，这一点我很有共鸣。

And honestly, this one resonates with me.

我在试用和测试 GrokBot 的时候，先剧透一下，我对它印象非常深，也和这一集里你听到的其他人一样有很多兴奋感，当时我有一个瞬间，正准备让它登录我的 Spotify for Creators 账号，顺便说一句，通过它的 virtual computer interface 登录其实是一个相对简单的流程，但我停了一下。

When I was playing around and testing GrokBot, which spoiler alert, I am incredibly impressed with and share a lot of the same excitement that you've heard from other folks in this episode, I did have this moment where I was about to log it into my Spotify for Creators account, which by the way was a relatively simple process of signing in via its virtual computer interface, but then paused.

我在想，如果出了什么问题，后果会有多严重。

Thinking about just how devastating it would be if something went wrong.

从 computer use 这种范式本身来说，我给它的不会只是访问某个 analytics API 的权限。

By nature of the computer use paradigm, I wouldn't just be giving it access to, for example, some analytics API.

我是在让它访问我的真实账号，让它在里面点击、操作、做事情。

I would be letting it have access to my actual account to click around and do things.

当然，我并不认为我某个跑偏的指令会导致它去删除这个节目的所有过往剧集，但这件事居然是可能发生的，这一点确实让我犹豫了。

Now, I certainly don't think that some errant command of mine would lead it to go delete all past episodes of this show, but the fact that that's even possible gave me pause.

而且就像 Peter 提到的，这当然不是 GrokBot 独有的问题，但它是完全转向新工作方式的一道主要障碍。

And like Peter noted, this is certainly not a problem for GrokBot alone, but it is a major barrier to fully transitioning to new ways of working.

不过，仍然重要的是不要夸大这一点。

Still, it's important not to overstate this.

比如说，我让它访问我的 email 就没什么问题，因为坦白讲，它发出一堆不该发的 emails，甚至删除一堆 emails，远没有任何和这个节目有关的事情那么灾难性。

For example, I had no problem giving it access to my email because frankly, it sending a bunch of emails that it shouldn't or even deleting a bunch of emails would not be nearly as devastating as anything having to do with the show.

到目前为止，对这个工具一个非常实际的批评是，它只面向极其昂贵的 accounts。

One very practical knock on the tool so far is that it is only for extremely expensive accounts.

你要么是在说每月三百美元、包含它的 Grok Heavy account，要么是每月两百美元的 Cursor Ultra account。

You're either talking about a $300 a month Grok Heavy account that includes it or a $200 a month Cursor Ultra account.

而后者还不能访问最顶级的 Grok model。

Which doesn't have access to the top Grok model.

所以至少目前来说，它确实被相当明显地 price-gated 了。

So at least for the moment, this is pretty well price-gated.

话虽如此，如果这是一项永久性特征，而不是现阶段首先用于保存 inference 资源的机制，我会非常意外。

That said, I would be very surprised if that was a permanent feature rather than an inference preservation mechanism first and foremost at this stage.

有一个很有意思的讨论，其实也是我原本考虑这周晚些时候做成一集的主题，就是 AI teammate 这个比喻到底是不是正确的 mental model。

One interesting conversation, which is actually an episode that I was thinking about doing later this week, is about whether the AI teammate metaphor is actually the right mental model.

我一直在想，也打算去探讨，AI teammates 会不会其实因为各种原因是错误的 model，而更好的说法可能更像是 consultants。

I've been wondering and plan on exploring whether in fact AI teammates are for a variety of reasons the wrong model and a better one might be something like consultants.

但很明显，不只是我一个人在想这件事。就像 Type.com 的 Fletcher Richman 写的那样，我们之前也觉得，一堆 AI 队友是正确的范式，但我们从客户那里了解到，拥有几十个 AI 队友其实反而会适得其反。

But clearly I'm not the only person thinking about this, as Type.com's Fletcher Richman wrote, we also thought a bunch of AI teammates was the right paradigm, but we've learned from customers that having dozens of AI teammates is actually counterproductive.

这只是一个虚荣指标。

It's a vanity metric.

相反，团队需要的是一个共享工作区，在那里他们可以使用任何模型，搭建一个由技能、集成以及按权限映射的上下文和记忆组成的公司大脑，构建并托管自定义 app，还能从 Slack、email，或者他们工作的任何地方进行交互。

Instead, teams need a shared workspace where they can work with any model, build a company brain of skills, integrations, and context/memory mapped to their permissions, build and host custom apps, and interact from Slack, email, or wherever they work.

GrokBot 确实很顺手，但这并不是人们未来工作的方式。

GrokBot is pretty slick, but it's not how people are going to work.

不过，我并不确信事情像 Fletcher 发帖说的那样非黑即白，但我同意一点：我相信我们会发现，在这种 agentic 支持上，其实存在两种非常不同的模式，一种是你个人使用的东西，另一种是和你的团队互动、并把团队整合起来的东西，而且它们可能会有相当大的不同。

Now, I'm not convinced that it's as binary as Fletcher is posting it, but I would agree that I believe we are going to discover that there are two very different modes when it comes to this sort of agentic support, the things that you use personally and the things that interact with and integrate your team, and they might be pretty significantly different.

不过，我预计在接下来的几周里，我们会看到很多令人兴奋的实验，让人想起 OpenClaw 早期那些很棒的日子，当时大家都在快速搭建整支团队。

Still, I expect that over the next couple of weeks, we are going to see a lot of exciting experiments that hearken back to those early awesome days of OpenClaw when people were spinning up entire teams.

Twitter 上的 @N2parko 搭建了一支核心团队，里面包括一位 chief of staff、一位 engineering manager、五位 engineers、一位 data analyst，还有一位 product manager，并且分享了他们是怎么互动和协作的。

@N2parko on Twitter has built a core team that includes a chief of staff, an engineering manager, five engineers, a data analyst, and a product manager, and shares how they interact and work together.

Farzad 给他的团队成员都起了名字。

Farzad has given his team names.

Webby 是他的 web designer。

Webby is his web designer.

Shatri 是他的 short-form content creator。

Shatri is his short-form content creator.

Righty 是他的 article/newsletter writer。

Righty is his article/newsletter writer.

你大概明白这个意思了。

You get the idea.

我确实打算做一堆实验，然后回来向你们汇报，我到底在哪些地方发现了价值。

I fully intend to do a bunch of experiments and come back and report to you on where I'm finding value.

但目前来说，我同意 Kettlebell Dan 的说法：今天围绕 GrokBot 的兴奋程度已经爆表了。

But for now, I agree with Kettlebell Dan when he says the excitement around GrokBot has been off the charts today.

我已经有一阵子没见过一款新产品受到这样的欢迎了。

I haven't seen this kind of reception for a new product in a while.

就我个人而言，我非常兴奋，想更深入地研究一下，等我研究完会回来汇报。

I, for one, am extremely excited to dig deeper and will report back when I do.

不过，今天的 AI Daily Brief 到这里就结束了。

That, however, is going to do it for today's AI Daily Brief.

一如既往，感谢你收听或收看。

Appreciate you listening or watching as always.

我们下次再见，peace。

And until next time, peace.

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