如何在今年夏天充分利用人工智能

今天在《AI每日简报》中，我们要聊聊你的AI夏日冒险。

Today on the AI Daily Brief, we're talking about your AI Summer Adventure.

《AI每日简报》是一档每天更新的播客和视频节目，聚焦AI领域最重要的新闻和讨论。

The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.

好了，各位。

Alright, friends.

在正式开始之前，先说几件事。

Quick announcements before we dive in.

首先，感谢今天节目的赞助商：Robots and Pencils、Rackspace、Blitzy 和 Airtable。

First of all, thank you to today's sponsors, Robots and Pencils, Rackspace, Blitzy, and Airtable.

想收听无广告版本的节目？请访问 patreon.com/aideallybrief，或者在 Apple 播客上订阅。

To get an ad free version of the show, go to patreon.com/aideallybrief, or you can subscribe on Apple Podcasts.

如果想了解如何赞助本节目，请发送邮件到 sponsors@aidailybrief.ai。

To learn more about sponsoring the show, send us a note at sponsors@aidailybrief.ai.

好了。

Alright.

今天是周末，还是夏天的周末，咱们就来点实际行动的。

It is a weekend, a summer weekend, no less, and we are gonna go action oriented today.

这期的‘大事与深度阅读’，我们要讲两件事，都是特别实用的。

For this week's big things slash long reads episode, we're actually gonna do two things, both of which are focused on the very practical.

首先，Ethan Mollick教授更新了他的一篇博客，这已经是他多次更新了，内容是推荐不同任务该用哪些工具。

The first is that professor Ethan Mollick has published the latest version of a blog post, which he's done a number of times that's all about which tools he recommends for different tasks.

他给这篇博客取名叫《如何选择AI工具来办事》，挺有个人风格的。

He called it an opinionated guide to which AI to use to do stuff.

我们会仔细看看他的所有推荐，说不定能帮你调整实验方向，优化工作流程。

And so we're gonna look at all his recommendations in case they might influence the way that you want to experiment and change your workflows.

另外，我们还要推出AIDB最新的训练计划。

Secondly, though, we're going to be introducing the latest training program from AIDB.

这个计划在summeradventure.ai上，是个让你自己选路径、逐步提升AI技能的冒险体验。

This one is at summeradventure.ai and is a choose your own adventure to expanding your AI skills.

我们会讲清楚它怎么运作，还会提前曝光几个项目内容。

We'll talk about how it works and give you a preview of some of the projects.

不过我们还是先从埃森说起吧。

But let's start over with Ethan.

他在这份最新的观点指南里提到，自从上一次更新后，情况已经发生了很大变化。

The first thing that he notes in this new opinionated guide is that a lot has changed since the last time he did this.

事实上，他写道：现在用AI做事情，涵盖的内容比以前多太多了。

In fact, he writes: What it means to use AI to do stuff encompasses so much more stuff than it used to.

就在不久前，用AI还意味着通过聊天机器人和模型不断来回对话。

Until recently, using AI meant talking to a model through a chatbot in a constant back and forth conversation.

而现在，它意味着使用一种具备代理能力的系统——AI能一次性完成相当于人类数小时的工作，通过结合模型的智能和一套工具，自动帮你规划和执行任务。

Now it means using an agentic system where the AI is capable of doing the equivalent of many hours of real human work in one go, by combining the brains of an AI model with a set of tools that let it plan and act for you.

简单说，代理系统就是给AI配了一台电脑。

Basically, an agentic system gives an AI a computer to use.

所以，埃森甚至把他的建议分成了这两类。

So Reddit Top even divides his advice into these two categories.

他实际上说，如果你只是想随便问问，比如找一个食谱，或者请它帮你写封信，那随便用哪个模型，包括免费的，都足够好了。

And effectively, he says, if you are just looking for some low stakes answer, such as asking a chatbot for a recipe or even asking it to help you write a letter or something, pretty much any model that you might use, including any of the free models, is going to do well enough.

但如果你真的很在意答案的质量，那就得用像 Fable 或 Five Six Soul 这样的顶级模型，而且要把思考深度调到一个合适的水平。

On the other hand, for anything where you really care about the answer, you're going to want to be using one of the premier models like Fable or Five Six Soul, set to a reasonably high thinking level.

至于真正需要深度处理的工作，Ethan 认为，目前就只有两个选择：ChatGPT 或 Claude。

And when it comes to doing real intensive work, Ethan argues that there are effectively only two choices right now, which is ChatGPT or Claude.

值得注意的是，这意味着 Gemini 现在已经被排除在排名之外了——至少目前是这样。这其实对大多数人来说并不意外，但还是能看出当前格局的变化。

Now, it is worth noting that that means that Gemini is officially out of the rankings at least at this point, which I don't think will come as a surprise to anyone, but still is pretty notable about the state of things.

接下来，Ethan 的一部分内容叫作‘给你的 AI 一台电脑’。

Now, Ethan's next section is called Giving Your AI a Computer.

虽然他没用‘整合’这个词，但他讲的其实就是你得搭建的一整套系统，包括权限设置、控制机制这些，来决定 AI 能做什么、不能做什么。

And although he isn't using the word harness, he's effectively talking about the systems that you are going to put in place, including controls, permissions, etcetera, that are going to shape what the models can do.

比如他说，我让系统连上了我的邮箱、我 Google Drive 里非私密的部分，还有好多其他应用，但关键是你得自己决定哪些能连、哪些不能连。

He says, for example, I have the systems connected to my email, a non private part of my Google Drive, and lots of other applications, but you have to decide what you are comfortable with.

很明显，Ethan 在暗示：你真该把这些连接工具用起来。

And it's clear that the nudge that Ethan is giving is to actually use these sort of connectors.

他写道：一旦配置好了，你就能做很多很厉害的事情。

He writes: Once you are set up, you can do pretty powerful things.

比如，我告诉这两个系统：连接我的Gmail，帮我准备周一21号的MBA研讨会，包括做些演示材料和案例作为参考。

For example, I told both systems: Connect to my Gmail and help me prep for the MBA seminar I'm giving on Monday the twenty first, including building some presentation and demos as inspiration.

回复所有关于这个主题的未读消息。

Answer any outstanding messages on the topic.

两个系统立刻开始工作。

Both systems got to work.

它们连上我的邮箱，弄清楚了任务，还准确判断出下周一21号是九月，而不是八月。

They connected to my email and figured out the task, including correctly figuring out that the next Monday the twenty first was in September, not August.

之后它们就自己干起来了，这正是智能代理的做事方式。

And after that they just started working, which is what agents do.

它们上网做研究，选定了演示方案，琢磨我该怎么回复那位发邮件的同事，还做了其他不少事。

They did research on the web, decided on a presentation demo, thought about how I might want to respond to the colleague who emailed me, and more.

大约十分钟后，两个系统都回来了，交出了一整套教学材料，还帮我写好了给同事的邮件。

About ten minutes later, both returned answers, having created a range of teaching materials and writing an email to the colleague.

这事儿要是让人来做，得花好几个小时，它们十分钟就搞定了。

This is impressive stuff that would have taken a couple hours of human work.

但他提到，Claude 只是起草了个草稿，而 ChatGPT 竟然直接给我同事发了邮件。

But he says, while Claude only prepared a draft, ChatGPT actually sent an email to my colleagues.

这是怎么回事？

What happened?

其实是我自己的问题。

Well, it was my fault.

我之前已经授权 ChatGPT 代表我发邮件，而 Claude 则被要求必须先征得我的同意。

I had previously given ChatGPT permission to send email on my behalf, and Claude was told to ask me first.

所以他提到一个非常重要的教训：当你用这些系统处理实际工作时，权限设置非常关键。

So he says in one of his first big lessons: When you use these systems for real work, the permissions matter a lot.

两家公司都允许你决定，AI 在发邮件、买东西或修改文件之前，是否必须先征求你的同意。

Both companies let you decide whether the AI must check with you before acting, such as sending an email, buying something, or changing a file.

在你还没完全信任这个系统、还不了解它会出什么错之前，最好保持默认设置，所有操作都先问过你再执行。

Until you trust the system and understand its mistakes, leave everything to ask for approval first, which is the default.

等你慢慢熟悉了，Ethan 建议你可以逐步扩大 AI 对你电脑的访问权限，这样就能让它帮你处理更复杂的工作了。

You get more comfortable, Ethan suggests that you can expand how much of your computer the AIs have access to, and get more complicated work as a result.

确实，伊森写道：这些应用最有趣的技巧之一，就是它们能像人一样直接使用你的电脑。

Indeed Ethan writes: Probably the most interesting trick of these apps is that they can just use your computer the way you would.

如果你在 Code 或 Codex 里开启电脑使用权限，AI 真的可以接管你的鼠标、浏览器，甚至整个电脑。

If you turn on the computer use option in code or codex, the AI can literally take over your mouse, browser, and computer.

没错，这确实是个安全隐患，所以你得谨慎操作，但效果可能会非常惊人！

Yes, this is a security concern, so you should proceed carefully, yet the results can be amazing!

我让 ChatGPT 5.6、Sol 和 Codex 帮我下载一个三维建模软件，并用它来设计一个非常特定的造型。

I ask ChatGPT 5.6 Sol and Codex to download a three d modeling program, and use it to create a very particular design.

下载 Blender，用笔记本电脑在飞机上做一个水獭模型。

Download Blender and make an otter using a laptop on an airplane.

接着他分享了一段视频，展示 AI 确实做到了这一点。

He then shares a video of the AI doing exactly that.

他说，把这些能力结合起来，你会发现 AI 几乎能完成任何能访问你电脑的人所能做的事。

If you put this all together, he says, you will find the AI can do almost anything that a person with access to your computer can do.

有时候甚至做得更好，当然有时候也会更差。

Sometimes much better Although sometimes worse.

我还是想自己做幻灯片、自己写邮件，谢谢。

I'd rather make my own slides and write my own emails, thank you.

但AI越来越厉害，能力也在持续提升。

But the AI keeps getting better, so the capabilities keep improving.

针对一些他仍听到的批评，他举了一个例子，指出人们可能还带着对早期AI版本的误解。

Now clearly responding to some of the complaints that he still hears, in one of the examples he gives, he points out where people maybe have mistaken assumptions based on previous iterations of AI.

Ethan说，我十月要出一本新书。

Ethan says, I have a new book coming out in October.

这本书已经经过专业编辑和校对，但我还是把完整的PDF给了GPT 5.6 Sol和Codex，让它全面检查一遍。

It has been through rounds of professional editing and proofreading, but I gave GPT 5.6 Sol and Codex the full PDF anyway and asked it to check it all over.

AI花了三十分钟，核对了195处参考文献，还给我整理出好几页笔记，这些工作原本得让一整个研究团队花上好几个小时。

The AI worked for thirty minutes, chased down 195 references, and gave me pages of notes that would have taken a team of researchers many hours.

AI进步到什么程度，从一个细节就能看出来：它所有的批注都准确无误，没有虚构页码、没有捏造内容，我根本找不出任何错误。

One sign of how far AIs have come is that every one of the AIs notes was accurate and there were no hallucinated page numbers, no invented text, no errors I could spot at all.

事实上，我遇到的问题恰恰相反。

In fact, I had the opposite issue.

AI特别爱挑刺。

The AI was incredibly nitpicky.

好在我是靠自己的判断来拒绝这些意见的，这也印证了一个观点：和这些系统合作，更像是在管理，而不是闲聊。

Fortunately, I used my human judgment to reject these sort of complaints, which fits the theme that working with these systems is more like managing than it is chatting.

你可以把AI助手想象成你派活儿的团队。

You can almost think of the AI agents as a team you delegate work to.

最后，伊桑又回到了谷歌的话题。

Now lastly, Ethan does come back to Google.

他写道，谷歌不久前还在各项评测中领先，但现在却落后了。

He writes, Google, which led on benchmarks not that long ago, has fallen behind where it now counts.

它没有领先的前沿模型，也完全赶不上Codex和代码能力。

It has no leading frontier model and has nothing close to codecs and code.

所以我现在不推荐把Gemini当作主力系统，不过这种情况可能很快就会变。

That is why I don't suggest Gemini as your primary system right now, though this could change quickly.

但他也说，这并不意味着谷歌就一无是处。

However, he says that doesn't mean that Google has nothing to add.

他提到了Gemini Notebook，也就是以前的NotebookLM，还有他们一些更注重多媒体的模型，比如支持视频的Gemini Omni。

He points to Gemini Notebook formerly known as NotebookLM, also some of their more rich media models like Gemini Omni which works with video.

总的来说，这个观点还挺简单的。

Now, overall, this is fairly simplistic.

说实话，我完全不是在贬低Ethan，你可能心里正想着：就这？

In fact, with absolutely no shade to Ethan, you might be sitting here thinking, wait.

就这点内容？

Is that it?

但你得记住，Ethan写给的是一群更广泛的读者，很可能是一群对AI了解没那么深的人，不像听每日AI播客的这批听众。

But you have to remember that Ethan is writing to a much wider audience and, indeed, probably a much less mature AI using audience than the folks who are listening to a daily AI podcast.

我觉得这篇特别有意思的地方，尤其是跟以前类似的文章相比，是他没有一个个列举使用场景或逐点分析哪个模型更好，而是清晰地划出两条完全不同的交互方式。

And what's interesting to me about this piece, especially as opposed to previous editions of this same idea, is that rather than going use case by use case and point by point and pointing to which model he likes, really what Ethan is doing here is drawing a bright line between two entirely different interaction patterns.

一边是传统的聊天式交互，那种随便什么模型都能应付；另一边则是全新的‘管理智能体’模式。

On the one side, there is the old chat based interaction for which pretty much anything will suffice, And on the other is this totally new managing agents pattern.

很明显，Ethan是想让‘管理智能体’这种模式显得平易近人，让那些一看到‘利用’‘整合’这类词就头大的人也能看得懂。

It is very clear to me that Ethan is trying to make the agents management interaction pattern feel approachable and accessible for people who, if they see words like harness, are just gonna have their eyes roll to the back of their heads.

但这确实是对工作方式的一次巨大转变。

But it really is a big shift in working.

这种转变不仅需要你学习新技能，还得重新调整你的思维模式，而这正好引出了《AI每日简报》和《超级智能》推出的‘AI夏日挑战’。

One that requires not only learning new skills, but reprogramming your brain, Which is where now we get to the AI Summer Adventure from the AI Daily Brief and Super Intelligent.

今年我一直在推出各种教育类体验，玩得特别开心。

I have had a ton of fun over here releasing these various educational type experiences throughout the year.

第一个是‘AIDB新年挑战’，为期十周，目的是帮你掌握十项基础的AI使用技能，让你在年初就实现能力跃升。

The first was AIDB New Year, which was a ten week challenge that was meant to give you 10 basic skills of using AI in a way that could level you up over the course of the first period of the year.

很多人参与了，包括不少团队一起加入。

Tons of people engaged with that, including many in teams.

回过头来看，结合我们刚才讨论的内容，那些技能其实还停留在‘非智能体’的时代，显得有点过时了。

And given the context of what we were just discussing, it's almost quaint looking back how many of the skills from that were really in that pre agentic paradigm.

几个月后，当我们大家都渐渐熟悉了智能体和工具调用，OpenClaw也彻底占领了我们的思维，接下来就是‘Claw训练营’。

Now a couple months later, as we all got familiar with agents and harnesses, and Open Claw took over our brains, next up was Claw Camp.

这是一个硬核实战体验，专门帮你亲手搭建智能体，真正理解这些系统的底层逻辑，以及它们能带来哪些可能性。

This was a crawl through glass experience designed to help you build agents in a way that really led to the learners understanding the guts of these systems and the type of opportunities that they represented.

不过，OpenCLaw只是其中一个平台，很快人们就不纠结于‘我能不能搭建一个智能体’了。

However, OpenCLaw was only one platform, and pretty quickly people stopped thinking about can I build an agent?

而是开始思考：怎么利用Claude Coder、Codecs，或者我正在用的任何工具，来构建一个真正能帮我完成多种工作的智能体操作系统？

To How do I use Claude Coder Codecs or whatever harness I'm working within to build an actual agentic operating system that can help me do lots of different types of work?

这催生了Agent OS——如果你还没试过，我依然强烈推荐，这又是一个完全免费、自主学习的项目，帮助你打造一个能应对多种任务的智能体系统。

That's what led to Agent OS, which is still I would argue a totally valuable program to go check out if you haven't yet that once again is a free self directed program for building an agentic system that can help you do lots of types of work.

Agent OS由Newfargas Barr设计，他现在还负责Super Intelligent的培训项目，包括高管速成课和高管智能体领导力课程，后者本质上是Agent OS的企业版。

Agent OS was designed by Newfargas Barr, who also now leads our training programs at Super Intelligent including our Executive Catch Up program and our Executive Agent Leadership program, which is effectively the enterprise grade version of Agent OS.

至于AI夏日冒险，这个项目特意设计得更灵活、更有趣，有点像‘你来定路线’的冒险体验。

Now when it comes to the AI Summer Adventure, this one is purposely designed to be more dynamic and fun and, well, choose your own adventure y.

它延续了旅行和探索的主题，被划分为二十多个不同的‘目的地’。

Building on the adventure and travel theme, it's organized into different destinations.

每个目的地都配有实验或项目，帮你掌握一项新技能。

Each of the 20 plus destinations has a lab or a project that allows you to learn some new skill.

有的适合新手，有的适合中级用户，还有一些甚至面向高级玩家。

Some of them are for beginners, some of them are for intermediate users, and some of them are even advanced.

你可以按难度或主题筛选项目，完成一个项目后，可以给你的护照盖章，只保留私人使用，或者设为公开，分享你做过的所有精彩成果。

You can filter them by level or by topic Once you complete a project, you can stamp your passport can be just for you, or you can set it to public and share all the cool things that you've done.

盖的章越多，你的口碑就越高。

The more stamps you get, the more street cred you get.

盖一个章，我们叫你一日游玩家；三个章，你就是认证的AI探险家；六个章，你成了开拓者；十个章，你就是环球旅行家。

One stamp and we call you a day tripper, three stamps and you become a certified AI explorer, at six stamps you're a trailblazer, and at 10 you're a globetrotter.

这不会是千禧一代的尴尬行为吗？

Is that the height of millennial cringe?

是的。

Yes.

我在意吗？

Do I care?

一点都不在意。

Not even a little.

我在企业AI领域常看到一种现象：公司同时在多个云平台、多个模型和多个框架之间摇摆不定，或者付钱给系统集成商做试点，结果永远没个尽头。

One thing I keep seeing in enterprise AI: companies hedging across every cloud, every model, every framework or paying a GSI for a pilot that never ends.

他们的团队真的在推进，已经选好了方向，行动也特别快。

The team's actually shipping, they've picked a lane and they move fast.

这正是我喜欢今天这个赞助商——Robots and Pencils——的原因之一。

That's one of the reasons I like today's sponsor robots and pencils.

他们完全押注在 AWS 上。

They've gone all in on AWS.

他们是 AWS 的高级别合作伙伴，还能在 45 天内交付生产级的 AI 协作工具。

They're an advanced tier and AWS pattern partner and they ship production AI coworkers in forty five days.

正因为如此，他们在 AI 协作工具方面做了不少我见过最有趣的工作。

That's led to them doing some of the more interesting work I've seen on AI coworkers.

我说的不是聊天机器人，而是真正嵌入企业架构、能干实际活的智能代理系统。

And by that I'm not talking about chatbots, I'm talking about actual agentic systems that sit inside a business architecture and do real work.

如果你是企业负责人，想把真正有用的东西落地，或者你是 AWS 的销售，想把客户从感兴趣变成实际部署，这种专注就特别关键。

That kind of focus matters if you're an enterprise leader trying to get something real into production or an AWS rep trying to move a customer from interested to deployed.

去 robotsandpencils.com 预约一次 AI 专题介绍吧。

Request an AI briefing at robotsandpencils.com.

和robotsandpencils聊一次，你就明白了。

One conversation with robotsandpencils and you'll know.

当前企业AI领域一个很有趣的变化，是讨论焦点正迅速转向基础设施和运维。

One of the more interesting shifts in enterprise AI right now is how quickly the conversation is moving towards infrastructure and operations.

随着AI进入核心工作流程、受监管的数据环境和智能代理系统，企业需要一套有管控的基础设施和推理平台，能够稳定日常运行，并从一开始就内置明确的运维责任机制。

As AI moves into core workflows, regulated data environments, and agentic systems, enterprises need governed infrastructure and inference that can operate reliably day to day, with clear operational accountability built in from the start.

当这些系统规模扩大后，运营模式本身也逐渐成为AI战略的核心部分。

As those systems scale, the operating model increasingly becomes part of the AI strategy itself.

Rackspace技术公司负责整个企业AI栈的运维，覆盖从智能代理到基础设施，涵盖私有云、混合云和边缘环境。

Rackspace technology is the operator of the full enterprise AI stack, from agents to infrastructure across private cloud, hybrid cloud, and edge environments.

Rackspace为那些对数据主权、合规性和系统可用性有严格要求的组织，构建并运维受管控的AI基础设施、推理服务和生产级AI系统。

Rackspace builds and operates governed AI infrastructure, inference, and production AI systems for organizations where sovereignty, compliance, and uptime are non negotiable.

因此，部署的工程师在项目上线后仍长期驻场，协助将AI真正融入日常运营并稳定运行。

Therefore, deployed engineers stay embedded beyond deployment to help operationalize and run AI in live environments.

想了解更多企业AI的落地场景和规模化成果，请访问rackspace.com。

To learn more about where enterprise AI runs and outcomes scale, go to rackspace.com.

周末就该写点随性的代码。

Weekends are for vibe coding.

现在把兴趣项目做出来比任何时候都容易，赶紧打开你最爱的随性编程工具吧。

It has never been easier to bring a passion project to life, so go ahead and fire up your favorite vibe coding tool.

但周一马上就到，等你反应过来，眼前已是密密麻麻的微服务、70年代的老COBOL系统，还有条路图，长到你退休都走不完。

But Monday is coming, and before you know it, you'll be staring down a maze of micro services, a legacy COBAL system from the 1970s, and an engineering roadmap that will exist well past your retirement party.

所以你需要Blitzy——首个专为企业级代码库打造的自主开发平台。

That's why you need Blitzy, the first autonomous software development platform designed for enterprise scale codebases.

每轮迭代一开始部署Blitzy，让你的开发进度直接快五倍。

Deploy at the beginning of every sprint and tackle your roadmap 500% faster.

Blitzy的智能代理会读取你的全部代码，规划任务，然后自动完成超过八成的工作。

Blitzy's agents ingest your entire codebase, plan the work, and deliver over 80% autonomously.

端到端验证、测试达标、高品质代码，交付速度全靠计算力驱动。

Validated, end to end tested, premium quality code at the speed of compute.

几个月的开发量，几天就能搞定。

Months of engineering compressed into days.

周末就用 vibe coding 做你的热情项目吧。

Vibe code your passion projects on the weekend.

周一上班就把 Blitzy 带上。

Bring Blitzy to work on Monday.

去看看为什么《财富》500 强都信赖 Blitzy 来处理关键代码，地址是 blitzy.com。

See why Fortune 500s trust Blitzy for the code that matters at blitzy.com.

就是 blitzy.com。

That's blitzy.com.

本集《AIDBLEY 简报》由 HyperAgent 赞助播出，你可以在这里管理团队协作的智能代理集群。

This episode of the AIDBLEY Brief is brought to you by HyperAgent, where you run fleets of agents your team can manage together.

新用户可获得 1000 美元的推理算力。

New users get $1,000 in inference.

别再等本地代理或聊天流程，靠你的笔记本电脑来触发任务了。

Forget local agents and chat workflows waiting on your laptop to be prompted.

HyperAgent 把智能代理永久部署在云端，直接接入你们团队正在用的工具，真正干活。

HyperAgent deploys always on agents in the cloud, doing real work across the tools your team already uses.

市场团队的智能代理能把竞争对手的动态自动生成落地页。

Marketing's agent turns competitor moves into landing pages.

销售团队的智能代理会完善潜在客户信息、起草邮件，并更新客户管理系统。

Sales's agent enriches leads, drafts emails, and updates the CRM.

运营团队的智能代理负责跟进文书工作，追踪预算进度。

Ops agent chases the paperwork and tracks the budget.

每个智能代理都能访问共享信息，并严格遵守你们设定的范围和审批规则。

Every agent has access to shared context and follows your rules about scope and approvals.

是时候引入那些像同事一样默契的智能代理了。

It's time you add agents that feel like teammates.

立即在 HyperAgent 上雇佣你的智能代理，由 Airtable 原班团队打造。

Hire yours at HyperAgent, built by the team at Airtable.

前往 hyperagentaideallybrief 领取你的 1000 美元推理额度。

Claim your $1,000 in inference at hyperagentaideallybrief.

让我兴奋的是，在 AI 这趟旅程中，就像你看到的 ClawCamp 和 AgentOS 那样，我们之前做的很多东西其实已经非常前沿了。

Part of what I'm excited about for the AI adventure is that as you saw with both ClawCamp and AgentOS, a lot of the stuff that we were doing there was very advanced.

但说到AIDB新年活动，很多内容其实非常容易上手。

Whereas when it came to AIDB New Year, a lot of it was really accessible.

它的目标就是为那些刚接触AI、还在入门阶段的人设计的。

It was meant to be for people who were still just getting their feet under them when it came to AI.

这次AI冒险我们把这种亲民的风格带回来了。

We've brought more of that back with AI Adventure.

所以如果你、你的朋友或同事在某些方面觉得自己落后了，哪怕是一些入门级的快速体验，也值得去看看。

And so if you have friends or colleagues or even yourself have just areas where you feel really behind, even some of the beginner quick trips might be something that you want to check out.

其中一个我们称为‘打包你的身份’的快速体验项目。

One example of a quick trip project we're calling Pack Your ID.

这其实是一个帮助你建立个人档案的项目，你可以把这个档案提供给任何你使用的AI，让它更了解你，从而给出更贴切的回答。

This is, of course, a context project that helps you build a profile of yourself that you can give any AI you're interacting with so that it has better context about you and can provide you better, more contextual results.

这些项目或实验的运作方式是：每个都会附带一套说明和核心任务，包括你可以直接复制的提示语。

The way that these projects or labs work is that they're each gonna come with a set of instructions and some set of core tasks, including prompts that you can copy.

比如，这是一个比较复杂的提示，要求AI‘帮我创建并安装一个轻量级的全局身份，让未来的对话从一开始就知道我是谁。’

So, for example, this is a complex prompt that asks the AI to, quote, help me write and install a lightweight global identity for this AI product so future chats start knowing who I am.

这个提示要求你根据当前系统，确定个人背景信息应该存放在哪里。

The prompt involves figuring out where standing personal context should live based on the current system.

它指导AI通过提问来帮你起草一份简短的个人简介。

It instructs the AI to interview the user to draft a short brief.

最后，它要求AI生成三样东西：第一，一段150到300字、可以直接复制粘贴的全局身份块，内容是写给未来AI助手的使用说明。

Then finally, it asks the AI to produce: one) A paste ready global ID block of roughly 150 to 300 words written as instructions to a future AI assistant.

第二，这个产品当前界面的具体安装步骤。

Two, exact install steps for this product's current UI.

第三，一个你在新对话中可以问的问题，用来验证身份信息是否成功加载。每个实验或项目，我们还会提供一些额外的扩展内容。

And three, one test question I should ask in a fresh chat to verify it loaded Now for each lab or project, we're also going to provide some additional layers, I.

比如。

E.

项目扩展建议。

Project extensions.

在这个项目里，你可以增加第二部分内容：如何在适当的时候反驳我、在什么情况下该提问澄清、什么时候该拒绝模糊的请求。

In this case, it's add a second block: how to push back on me, when to challenge, when to ask a clarifying question, when to refuse a vague request.

最后，我们还会给你一个进阶目标。

And finally, we're also going to give you a stretch goal.

说到打包你的个人身份，其实还有一个更高级的版本叫‘个人大脑’。这基本上就是我之前在 contextportfolio.ai 的 Portfolio Builder 里分享过的那种上下文包，只不过这次是作为个人学习实验来组织的。

Now, when it comes to the Pack Your ID, there's actually an even more advanced version of this context project called Personal Brain This is basically a context pack of the type that I shared at contextportfolio.ai in that Portfolio Builder, but organized as a personal learning experiment instead.

如果刚才说的快速尝试是让你从现有的 AI 中获取更多价值的好方法，那么‘探索项目’就是那种你会构建出能超越当前会话的东西的项目。

Now, if these quick trips are easy ways to get more from the AI you already have, excursions are a type of project where you are going to build something that actually outlast the current session.

我刚才提到的‘个人大脑’就是一个例子。

The personal brain that I was just talking about is an example of that.

不过，我们还有一些拓展内容，是关于如何指导完成一个完整的创意作品的。

But we also have excursions for directing a complete and finished creative piece.

也就是，

I.

不只是用一次提示词，而是真正完成一个由 AI 生成的完整创意项目。

E, not just one shot prompted, but actually a full, complete AI generated creative project.

还有一个拓展是关于如何进行氛围编程。

There is an excursion for vibe coding something.

我知道，尽管我们一直在讨论这些工具，但还是有很多人因为没时间或精力，没能真正动手去开发自己的第一个应用。我觉得，这其实是现在用 AI 能获得的最大的突破之一。

I know that as much as we talk about these tools, there are still plenty of people that just haven't had the time or bandwidth to actually go build their first application, which I believe is genuinely one of the biggest unlocks that you can have using AI right now.

而且，这比你能做的其他任何事情都更能让你转变对 AI 的看法：不再把它仅仅当作一个能帮你更快、更便宜或更好地完成现有工作的助手，而是把它看作能解锁全新能力的工具。

And more than just about anything else you can do will shift you from thinking of AI as an assistant that can help you do your current work faster, cheaper, or better to something that unlocks totally new capabilities.

对于那些想要更有野心的人来说，我们还有所谓的“远征”项目，旨在彻底改变你使用 AI 的方式。

And then for those who want to be really ambitious, we have what we call expeditions, which are meant to totally change how you work with AI.

目前有两个“远征”项目已经上线了。

There are two expeditions that are live right now.

第一个叫柠檬水摊，目标是真正打造一个由AI运营的小型微企业，并附带一个随时可执行的真实需求测试。

The first is called Lemonade Stand, and the goal of it is to actually create an AI staffed microbusiness with a real ready to run demand test.

这个项目不只是给创业者或独立开发者准备的，哪怕你目前对本职工作很满意，也确信自己永远不会跳槽，同样适用。

Now, this one is not just for entrepreneurs or solopreneurs, even for folks who are completely happy in their day job and sure they'll never leave.

通过设计一个完整的小型微企业流程，你会对如何在日常工作中使用AI产生非常深刻的学习体会。

Going through the process of designing a complete microbusiness is going to have incredible learning effects for how you use AI in your normal context as well.

这个特定的项目分为三个冲刺阶段来组织。

Now this particular expedition is organized into three sprints.

在探索阶段，你会从你的经历、技能、资源和外部创意库中提炼出一些有价值的点子，最终筛选出五到八个候选，并选出前三名，附上与你个人匹配度的分析。第二阶段是制定商业计划。

In the discovery sprint, you'll extract nontrivial ideas from your history, skills, access, and external idea labs, leading to a short list of five to eight ideas, and a ranked top three with founder fit notes Sprint two is about creating a business plan.

从这前三名中选一个，把它拆解成一个真实的微型业务，画出它的AI团队架构。第三阶段是验证阶段，教你如何在过度投入之前先测试市场需求，包括做一个轻量级的软件演示、设计实验方案，以及从真实用户那里获取反馈。

Taking one of those top three concepts and mapping it as a real microbusiness with an AI org chart The third sprint is the validation sprint, where you learn to test demand before you overbuild, including a thin demo for software, an experiment design, and getting real signal from a human.

每个阶段都会配套一个核心任务和一个可以直接复制的提示词，你只要贴进你正在用的AI工具就能用。

Now again, each of these sprints is going to come with a core task and a copyable prompt that you can drop into whatever AI you're using.

尤其像这种比较复杂的探索，那个可复制的提示词更多是帮你起步用的。

Now importantly, especially when it comes to the more extensive excursions like this, the copyable prompt may be more about getting you started.

事实上，很多提示词一用起来，就会引发你和AI之间一连串深入的对话和互动。

And indeed, many of the prompts actually open up an entire set of conversations and interactions between you and the AI.

比如在挖掘创意的阶段，那个提示词会把流程分成几个阶段，包括AI对你进行深度访谈，帮你梳理出哪些商业点子更适合你。

For example, in the idea mining sprint, the copyable prompt actually organizes things into a set of phases that include things like a deep interview by the AI of you to help it figure out what business ideas might be a good fit.

对于这些更复杂的创意，AI冒险平台还会提供额外的资源，方便你进一步深入探索。

Now, especially for some of these more complex ideas, the AI Adventure Platform is also going to come with a set of resources for where you can go deeper.

还有一个我想推荐给你的项目，我们叫它‘循环’。

One more expedition that I want to sell you on, we're calling the loop.

在这档节目里，我反复讲过很多次‘循环’这个概念——就是把一个定义清晰的任务，配上测试、构建和差异检查，让智能体能反复验证。但要把这套方法用在非技术领域，反而比用在软件工程里更难，也更不容易上手。

Now you have heard me talk endlessly about loops on this show, where you take a well defined task with tests, builds, and diffs the agent can recheck, but applying it in nontechnical work is in many ways more difficult or at least less intuitive than it is in applying it to software engineering.

‘循环’探索的目标，就是带你亲手搭建一个真正有用的智能循环，用在你自己的工作场景里。

The goal of the loop expedition is to help you walk through building an actual agentic loop in an area of work that is useful for you.

在进入具体提示和步骤之前，这一部分还安排了不少背景知识，帮你更深入理解这些概念。

Now before this one even gets into the prompts and steps, there is a bunch of background learning that's going to get you more familiar with the concepts as well.

里面会讲清楚什么是循环、什么不是循环，成本怎么算，模型怎么选，循环为什么会失败，以及怎么在Cloud Code、Cursor、Codex这些主流工具里启动循环。

Some of the sections include what a loop is and isn't, costs, models, how loops fail, and how to fire a loop in major tools like Cloud Code, Cursor, and Codex.

等你听完这期节目，summeradventure.ai网站就会全面上线。

Now once you listen to this show, summeradventure.ai is going to be fully live.

你可以免费注册，马上开始体验。

You can sign up for free and start ticking in.

目前大约一半的探索内容已经开放，接下来整个夏天，一直到美国九月初，我们每周都会解锁更多新项目。

So far, about half of the destinations are unlocked, and each week here through the end of the summer in The US, I.

基本上到九月初，我们会继续推出更多新内容。

E, basically the beginning of September, we'll be unlocking even more projects.

这些项目里有些我们已经规划好了，但也有一些会根据行业动态临时决定怎么做。

Some of those projects we already have planned, but some of them we're anticipating building on the fly based on what's happening in the industry.

谁知道呢？

Who knows?

说不定我们真会自己搞个模型路由，毕竟现在全世界的人都在做这个。

Maybe we'll go build ourselves a model router, given that it seems like everyone else on the planet has at this point.

我们还会在AIDB Operator Circle里建一个新社群，专门给正在参与夏日冒险的人，我也会在节目笔记里放上入群链接。

We'll also set up a new sub community for people who are doing the summer adventure on the AIDB Operator Circle, and I'll include links to sign into that in the show notes as well.

快结束之前，我想聊聊2026年尤其重要的一个概念——能力过剩。

As we wrap up here, one of the concepts that has been most important throughout 2026 especially is this idea of the capability overhang.

就是AI能做的事，和我们实际在用它做的事之间的差距。

The gap between what AI can do and what we're actually using it for.

我觉得，这世上几乎没人能逃过这种能力过剩的困扰。

Now, I would contend that there is almost no one on the planet who doesn't have some capability overhang that they are dealing with.

就连实验室里的研究者，还有那些靠关注AI动态、试用所有新东西为生的内容创作者，也都一样。

Even researchers inside the labs, even content creators whose entire job is to pay attention to what is happening in AI, and try out everything new.

时间根本不够用，我们想做的事情太多，而AI的能力却在飞速进步。

There is simply not time enough to do everything that we would like, and AI capabilities keep racing ahead.

这次夏日挑战的目标，就是帮你找到有趣的方法，去弥补你最关心的那块能力短板，而且过程还要好玩。

The goal of the summer adventure is to find fun ways for you to close your own personal capability gap around whatever part of that gap matters most to you and actually have a good time doing it.

跟往常一样，这类活动都是完全免费的。

As always, with programs like this, the summer adventure is completely free.

你可以去 summeradventure.ai 报名，我很期待在那里见到你。

You can sign up at summeradventure.ai, and I'm excited to see you there.

今天就到这里。

For now, that's gonna do it for today's episode.

感谢大家一如既往的收听或观看。

Appreciate you listening or watching as always.

我们下期再见，祝好。

And until next time, peace.