GPT-6 Astra 发布与初步体验
我们今天要去探索星辰大海了，因为没错，今天 GPT-6 Astra 正式上线了。嗯，它已经对 Daybreak 客户开放上线，很快也会面向我们其余所有人推出。我很幸运能够获得一些早期访问权限来测试这个模型。这是过去 6 个月里的全新模型，你知道，也许我听起来像个复读机，但这款模型确实让我感受到了更大的雄心。它攻克了我的一些常规任务，那些 Fable 无法搞定、甚至连我心爱的 56 soul 也搞不定的任务。这款 GPT-6 模型一次性搞定了一大堆。
英文原文
We are going to the stars today because yes, today GPT-6 Astra is live. Well, it's live for Daybreak customers. It will be live for the rest of us very soon. I was lucky enough to get some [music] early access to test the model and this has been the model in the last 6 months and you know, maybe I sound like a broken record, but this is the one that has made me actually feel more ambitious. It has crushed some of my standing tasks that Fable couldn't figure out. Even my beloved 56 soul can figure out. This model GPT-6 one shot a bunch of them.我打算向大家介绍这个模型是什么、OpenAI 表示它擅长什么，并且我还要向你们展示我用它构建的一些相当不可思议的东西，包括——没错，再次黑掉这台笨电脑。让我们进入正题吧。
英文原文
I'm going to tell you what this model is, what OpenAI says it's great at and I'm going to show you some pretty incredible things I built with it including yes, hacking this dumb computer again. Let's get to it.好，我不想在博客文章上花太多时间。我们可以在节目简介中附上链接，大家都可以去阅读。简单来说：基本上在所有方面都达到了最先进水平（state of the art）。涵盖了科学图景、编程、知识工作、不让人讨厌、速度快、电脑使用，方方面面。因此，OpenAI 将其定位为其最智能且最对齐的模型。
英文原文
Okay, I don't want to spend too much time on the blog post. We can link to it in the show notes. You all can go read it. TLDR state of the art on basically everything. We got the science map, coding, knowledge work, not being annoying, being fast, computer use, all the things. So, OpenAI is positioning it as it's most intelligent and aligned model.核心能力与基准测试
巨大的飞跃，尤其是在前沿数学方面，在数学能力上有很大的飞跃。他们重点强调的关键点在于电脑使用（computer use）以及软件的使用。大家在今天的节目中就会看到这一点，它在电脑使用方面实在太出色了。不仅是浏览器，还包括 Excel、Unity、Power BI、Blender、Jupiter、文档编辑器，差不多所有工具。所以，我们又回来了，SaaS 回归了，产品回归了，按钮也回归了，因为现在 Astra 能够操作它们了。
英文原文
Huge um jumps uh particularly on frontier math, uh big jump there in mathematical ability. The big thing that they're calling out is computer use and the use of software. So, you're going to see this in today's episode, but it is so good at computer use. Um not just browsers, but Excel, Unity, Power BI, Blender, Jupiter, document editors, like kind of everything. So, uh we're back. SAS is back. Product back. Buttons are back because now Astra can use it.它在产出工作成果物（work artifacts）方面非常厉害。他们做了大量工作，让工作成果物匹配你的风格、匹配你的品牌、匹配你的语气等等。再加上自主性、可控性，所有这些方面都非常出色。他们非常聚焦于在常见任务上节省时间，这同样得益于电脑使用能力。
英文原文
Um it's really good at producing work artifacts. They've done a lot of work to make work artifacts match your style, match your brand, match your voice, etc. And then again, autonomy, steering, all that kind of stuff is is very good. They've really focused a lot on kind of time saving on common tasks again because of computer use.这算是一个小小的窥探：我认为大家现在都在 token 上花费大量资金，这些模型正面临着拿出投资回报率（ROI）模型的压力。我想你会听到他们大量谈及 Astra 在电脑使用和时间节省方面的表现，对吧？比如找公寓可以从 6 小时缩短到 10 分钟。我会向你们展示一个生成缩略图的例子，这同样是原本需要花费我们大约一小时的事情，缩减到了几分钟，而且完全无需人工介入。因此，速度快得多，效率高得多，并且能够去完成他们所说的“实际工作”。他们特别指出演示文稿、电子表格、文档和软件都是 Astra 的极佳用例。
英文原文
And so, this is a little like sneak peek into I think like we're all spending a lot of money on tokens and these models are feeling pressure to come up with an ROI model. And And I think you're going to hear a lot about them talking about Astra in terms of computer use and time saving, right? Like apartment hunting can go down to 10 minutes from 6 hours. Um, I'll show you an example of generating thumbnails, again, something that takes us like an hour, um, down to a couple minutes, completely hands-free. And so, um, a lot faster, um, a lot more efficient and kind of able to do what they say, real work. They really call out presentations, spreadsheets, documents, and software as great use cases for Astra.不过，让我们稍微看一些数据。首先在 Automation Bench 上，再次达到了 Soul 报告分数的两倍。所以，在自动化任务方面得分要高得多。我们再来看看编程。Deep Sweep，这里相比 Spyce 6 Soul 有一点小幅提升，但是再加上电脑使用能力，你将能够做更多真正有趣的事情。数学在这里是一个重头戏，在前沿数学（Frontier Math）Tier 4 上有很大飞跃。
英文原文
But, let's look a little bit at kind of some of the numbers. So, automation bench, again, double Soul's reported score. So, you know, a lot higher on, um, automating tasks. Let's look at coding. Deep Sweep, a little bump up here against Spyce 6 Soul, but again, um, combined with computer use, you're going to be able to do a lot more really interesting things. Um, math is a big story here. So, big jump in Frontier Math Tier 4.定价与推送计划
然后，我们来谈谈价格以及你是否能获取到它。它正在逐步推出。首先，它将面向拥有 Daybreak 访问权限的企业客户推出。我获得了一点早期访问权限，以便能够测试该模型并向大家做介绍。不过在接下来的几天里，它将逐步推送到 GPT Plus、Pro 和 Enterprise，进入 API，并上线 AWS。至于定价方面，每百万输入 token 为 10 美元，每百万输出 token 为 50 美元。在快速模式（fast mode）下，速度会很快。
英文原文
Um, and then, let's talk about price and can you get it? So, um, it's rolling out. First, it's going to go to enterprise customers with daybreak access. Um, I got a little bit early access so I could test the model and tell you all about it. Um, but over the coming days, it's going to be rolling out to GPT Plus Pro and Enterprise, in the API, and in AWS. And then, pricing, $10 per million input tokens and 50 per output tokens. And in fast mode, will be fast.所以，这是一个很棒的模型。你们会想去使用它的。我只是想先把这些交代清楚，好让大家知道它是什么。然后，让我们进入它有多不可思议的部分，先从电脑使用开始。
英文原文
Um, so, it's a great model. You're going to want to use it. And I just want to get that out of the way so you know what it is. And then, let's get into how amazing it is, starting with computer use.实战演示：工作流自动化
现在我已经向大家大致介绍了 Astra 擅长什么，让我们来看看它的实际表现。我在介绍模型总体情况时谈到的第一点，就是它在浏览器使用方面有多出色。我跟你们说，我是一个极度推崇浏览器使用的人，一个极度推崇电脑使用的人。我喜欢浏览器使用，我喜欢电脑使用。而且我平时在 Codex 里用得很多，但我不得不说，Astra 把我的电脑使用体验提升到了一个全新的高度。我想给你们展示几个我用电脑使用做的事情的例子，我认为这些真的、真的、非常有用。
英文原文
So, now that I've told you a little bit about what Astra is great at, let's see it in action. Now, the number one thing I covered when talking about the high level of the model is how good it is at browser use. And I am telling you, I am a browser use maxer here. I'm a computer use maxer here. I love browser use. I love computer use. But, and I've been using a lot in Codex generally, but I will say Astra has taken my computer use to the next level. I want to show you a couple examples of some things that I've done with computer use that I think are really, really, really useful.真正让我感到惊讶的一点，是它在处理复杂的 Web UI、管理相当复杂的节点和交互方面非常厉害，而且做得非常好。让我给你们展示一个例子来说明我的意思。这是我们的 cxo.dev CRM，我们正开始收到潜在客户线索。我们上周启动了这项业务，收到了大量的入站咨询。我们想要筛选这些线索，然后判断它们是应该分发给我，还是分发给我的合伙人 Zach。一旦确定了是该分给我还是 Zach——比如我负责大型高端企业，他负责技术型初创公司，我们以这种分工协作的方式一对一回复线索。我们目前还没有把这个交给 Agent 去做，但我们现在要在这里进行现场操作。
英文原文
The one I was really surprised by is how good it is at complex web UI and managing pretty complex nodes and interactions and doing it really well. So, let me show you an example of what I mean here. So, this is our cxo.dev CRM and we are starting to get leads. We launched this business last week and we're getting a bunch of inbound. And we want to filter those leads and then determine whether or not they should be sent to me or sent to my business partner, Zach. And once they are determined if it should be me or Zach, and it's like I get the big fancy enterprises, he gets the like technical startups, and we kind of divide and conquer responding to leads one-on-one. We haven't given that to the agents yet, but we're going to do it live here.我们使用这种内置在我们的 CRM 中的 Adio 基于节点的工作流构建器来搭建分配逻辑，执行类似提示词的操作来判定是 Clark 还是 Zach，然后将其路由到不同的 Slack 消息和不同的 CRM 属性。我发现自己当时坐在这儿，一个接一个地瞎折腾这些按钮。我搞不清楚该如何从 AI 的回复中推断出正确的对象。我当时非常沮丧，在这里耗了一个小时。然后我就想：“啊，电脑使用。当然了，电脑使用能做这个。”所以，我想让你们看看那是什么样子的。
英文原文
So, we use this kind of built into our CRM Adio node-based workflow builder to build out the assignment logic, do things like prompt um to determine Clark or Zach, and then route it to different Slack messages and different CRM attributes. And I found myself sitting here and like futzing with these buttons one off. I couldn't figure out like how to infer the right objects from the responses the AI responses. I was just getting really frustrated. I spent an hour here. And then I was like, "A computer use. Of course, computer use can do this." And so, I want to show you what that looks like.好的，与其自己去拖放所有这些东西，我打开了我和 Codex 讨论 CRM 的聊天窗口，我会说：“嘿，我打开了一个用于将线索分流给 Zach 或我的工作流。我希望作为该流程的一部分，让一个自定义 Agent AI 生成一封针对所提交线索进行定制的电子邮件，邮件的发件人视路由对象而定为 Zach 或我，并邀请他们使用我们的日历链接预约时间，再加上一点关于我们为什么很高兴与他们交流的内容。你能把 Chrome 里的工作流更新成这样吗？谢谢。”
英文原文
Okay, so instead of dragging and dropping all this stuff, I'm going to bring up my chat where I talk about the CRM with um Codex, and I would say, "Hey, I have a workflow open to route leads to Zach or I. I want as part of this flow to generate with a custom agent AI an email that is custom to the lead submission authored from either Zach or I, depending on who it's routed to, and um invite them to uh schedule with our calendar link, plus a bit about why we're excited to chat with them. Can you update the workflow in Chrome to this? Thanks.好了，我们应该会看到 Codex 开始实际打开 Chrome，接管 Chrome，并开始构建新的节点、新的逻辑、新的提示词，并将所有这些内容进行路由，重新连接正确的节点，看，它开始了。你可以看到它正在为我们执行的 AI 生成添加一个新对象：邮件发给谁、邮件主题是什么、邮件正文是什么，我猜是这样。看，完全不用手，我什么都没操作。它直接深入到这个相当复杂的基于节点的应用程序中，弄清楚在哪里进行更改、包含哪些内容，而且我认为最理想的是它会展示一封来自 Claire 或来自 Zach 的电子邮件草稿供我们审核，并最终由我们发送。
英文原文
Okay, so what we should see Codex start to do is actually open up Chrome, take over Chrome, and start building out new nodes, new logic, new prompts, and route all of this stuff, reconnecting the right nodes, and here it goes. So, you can see it's adding a new object to the AI generation that we're doing, um who the email's going to, what the email subject is, um what the email body is, I'm guessing. Look, there's no hands. I'm not doing any of this, and it's going ahead and going in this like fairly complex node-based app and figuring out where to make the changes, include things, and I think ideally it's going to show an email draft from Claire or from Zach to review and for us to ultimately send.这会被发送到我们的 Slack 频道，然后我们可以复制粘贴，并通过电子邮件发送给潜在客户。另外，我在这里之后可能会做的事情，就是在我们觉得效果非常好之后让它真正去发送邮件。但同样，这种事情，光是打字和思考就耗时极长。在 Astra 之前，我是说，其实在 GPT-5 6 之前，但肯定是在 Astra 之前，我真的觉得浏览器使用和电脑使用无法把这些节点驾驭得这么好。而现在我发现它确实能做到。我现在完全可以让双手离开电脑了，这确实是一种思考与电脑交互、与网站交互的非常迷人的新方式。
英文原文
And so, that's going to send to our Slack channel, and then we can copy and paste that and um email it to the um prospect. You know, the other thing what I'll probably do here is have it actually send the email after we feel like this is really good. But again, this kind of thing, just like typing and thinking, takes forever. And before Astra, I mean, really before GPT-5 6, but certainly before Astra, I really just didn't feel like browser use and computer use can navigate these nodes as well. And now I found that it really can. And I just am hands-off my computer all the time now, and it's a really fascinating new way to think about interacting with your computer, interacting with websites.想想看这一点。你知道，我们过去都说“没有 UI（无界面）就是下一个 UI”，我们也围绕 MCP 和 CLI 进行了所有这些探讨。而非常奇妙的是，我们现在正处于这样一个时刻，事实上界面又回来了，宝贝。就像 SaaS，这可能是你们的救星，因为人类确实喜欢按钮。而现在你可以让 AI 替你点击按钮、替你使用 UI，如果你的产品更适合通过基于 UI 的形式来呈现，你某种程度上就不一定非要去考虑这些 CLI 和 MCP 了。所以我真的认为电脑使用是非常不可思议的。我打算让这个
英文原文
And I think about this. We you know, we all said no UI is the next UI, and we had all these conversations about MCPs and CLIs. And what's so fascinating is now we're at this moment where actually like UI's back, baby. Like SAS, this might be your savior because humans really do like a button. And now that you can get AI to click buttons for you and use a UI for you, you sort of don't have to think about these CLIs and MCPs necessarily if the right expression of your product is more of a UI-based thing. So, I really do think computer use is kind of incredible. I'm going to let this在 Flora 中自动生成播客缩略图
继续运行。
我打算再举一个全新、之前还没做过的例子，但我认为它会表现得非常好：我们在 Flora 中为播客做大量的缩略图编辑工作。我现在在 Chrome 中打开了 Flora，里面有我们所有的播客缩略图高清放大工作流。我准备发给你几张我目前正在录制的播客现场图片，你能生成我们设计师 Naomi 实际为这期播客制作缩略图所需的图像吗？
英文原文
keep running. I'm going to give another example of something kind of completely fresh that I haven't done yet, but I think it's going to do really well, which is I'm going to say, we do a lot of thumbnail editing for our podcast in Flora. I have Flora open in Chrome right now with all of our podcast thumbnail upscaling workflows. I'm going to drop you a couple images from the podcast I'm recording live right now, and can you generate the images that our designer Naomi would need to actually generate the thumbnails for this podcast?然后我打算拿——我今天早些时候拍了一些照片。所以，我打算在开始这个之前，把你的朋友 Claire 对 Astra 超级兴奋的高质量照片发过去，因为我确实很兴奋。我要把这些发过去，看看它是否会打开 Flora——再说一次，Flora 是一种基于节点工作流的图像和视频 AI 编辑工具。我要看看它是否能在这个工具里进行操作，因为同样，我之前没这么做过，所以我想看看它是否真的行得通，而且能完成得很好。因此，它会去检查我在 Flora 中已经打开的缩略图工作流，然后用这三张照片来准备 Naomi 所需要的图像素材。
英文原文
And then I'm going to take I took some photos uh earlier today. So, I'm going to drop right before I started this, I'm dropping really high-quality photos of your friend Claire looking super excited about Astra cuz I am. And I'm going to send this, and we're going to see if it opens up Flora, which again is sort of this like node node workflow-based AI editing tool for images and videos. I'm going to see if it can navigate that because again, I haven't done this before, and so I want to see if it actually works and can do that well. So, it's going to inspect the thumbnail workflows that I already have open in Flora, and then use these three photos to prepare the image assets Naomi needs.你可以在这里看到，这是我们的大致工作流。它看起来乱得不可思议，组织得并不是特别好。正如你所看到的，我们拍摄我录制播客或嘉宾录制播客的普通照片，然后让它们发光、看起来很棒，因为不好意思，但 YouTube 数据说你们就喜欢这种。它说你们喜欢这种发着紫光的头发的 Claire。我也希望你们喜欢正常办公室光线下的 Claire，但你们就是喜欢紫色发光的头发的 Claire。所以，它实际要做的是获取我丢进去的这些新图像，操作这个应用，导入这些图像，并希望为我们生成我们想要、你们今天来听播客时会看到的视频。所以我要让它运行。一旦节点开始生成，我们再回来看。
英文原文
You can see here this is um our kind of like workflow. It looks kooky bananas. This is not super well organized. As you can see, we take like kind of normal photos of me recording the podcast or a guest recording the podcast, and then we make them like glowy and look fabulous because I'm sorry, but that's what YouTube says you like. It says you like this like glowing purple hair Claire. Um I wish you liked normal office lighting Claire, but you like purple glowy hair Claire. And so, what it's going to do is it's actually going to take these new images that I dropped, navigate this app, import these images, and hopefully generate us the videos that we want that you'll see today um when you come to the podcast. So, I'm going to let that run. We're going to come back to it once the nodes are being generated.好，我们来看看它在做什么。它拿了刚才我在 Photo Booth 里拍的这张导入的照片。它正在绘制一个节点，选择要使用的图像生成模型。我们用的是 GPT Image 2。我们以前用 Nano Banana，但实际上我们非常喜欢 GPT Image 2。它在选择宽高比，根据我们已有的其他提示词输入提示词，并准备继续生成它。我认为它会对所有这三张图片都这样做。再说一次，这是我们的设计师 Naomi——她非常优秀——每次都需要手动做的事情。这有点枯燥，而且拖动节点、整理好所有的东西需要花点功夫。此外，我们很喜欢 Flora，但这里基本就是混乱一片。因此，任何能帮我们重新整理这些节点并保持有序的东西都会非常有帮助。
英文原文
Okay, so let's watch what it's doing. It took this imported photo of me that I just took in Photo Booth. It's going through and drawing a node, selecting the image generation model that's going to use. We use GPT Image 2. Um we used to use Nano Banana, but we actually really like GPT Image 2. It's selecting aspect ratio. It's putting in the prompt based on other prompts we have, and it's going to go ahead and generate that, and I think it's going to do it for all three of these images. And again, this is something that our designer, Naomi, who's fabulous, it does by hand every time. It's sort of mindless, and it takes a little bit of effort to drag the nodes, get it all organized. Also, we love Flora, but it's kind of like chaos reigns here. So, anything that can help us reorganize these nodes and keep them in check can be very, very helpful.所以，我们接下来很可能会让 Codex 生成所有这些图像，然后 Naomi 的工作就像所有人类一样，只需要有好的品味，确保模型不会让我的脸看起来很诡异，或者给我多弄几根手指，或者给人一种恐怖谷的感觉。但你可以在这里看到，它已经开始生成一张图像了，接着它会去生成下一张。因此，你大可以把这两个例子看作是：这种复杂的 CRM 工作流节点构建器，以及使用 Flora 生成素材和做提示词——这些事情确实能从这种 UI 中获益，但人类用手指打提示词和拖动东西来操作 UI 却无法从中获益。这就是 Astra 真正大放异彩的地方。所以我一天中确实有大约 90% 的时间坐在这里看着 Astra 使用我的电脑，特别是使用 Chrome 来浏览我非常喜欢的网站和应用程序。
英文原文
And so, what we're probably going to do is have Codex now generate all these images, and then Naomi's job, like all humans, is just to have good taste and make sure that the model doesn't make my face look insane or give me extra fingers, or um give me like an uncanny valley look, but you can see here it started generating one image. It's going to go ahead and generate the next. And so, you can just think of this as two examples, this like complex CRM workflow node builder, and um using Flora to generate assets and do prompting as something that really benefits from this UI, but does not benefit from humans using their fingers and typing prompts and dragging things to make the UI. And this is where Astra really, really shines. And so, I do spend about 90% of my day sitting here watching Astra use my computer and specifically use Chrome to navigate websites and applications that I really love.用于 QA 测试的浏览器自动化
顺便提一下，我使用 Astra 和浏览器操作的另一个用例——我认为它通常对软件开发者非常有用，稍后我们会谈到编写代码——就是 QA。最近，我在用 Astra 致力于稳定主 Chat PRD 聊天体验，我们当时在追踪一些诸如竞态条件以及流式持久化中的一些奇怪边缘情况之类的问题。我们终于发布了代码并提交了 PR，然后我问：“你能直接在 Chrome 里测试一下吗？”非常棒的是，它直接调出了预览分支，然后开始点击测试，发送聊天。在这里使用浏览器的真正有用的地方在于，它会检查控制台，排查错误日志。它会处理竞态条件之类的事情。它会刷新 Chrome。它会做所有这些如果由人类来执行会非常繁琐且困难的事情，但作为 QA 却超级好用。
英文原文
As a side note, another use case that I use for Astra and browser use that I think is really helpful for software developers in general, and we'll get to coding in a minute, is just QA. And so, recently, I was working on stabilizing the main Chat PRD um chat experience with uh with Astra, and we were chasing down some like race conditions and some weird edge case things in streaming persistence and all this kind of stuff. We finally got the code shipped and the PR shipped, and I was like, "Can you just like test this in Chrome?" And what was really awesome is it just pulled up the preview branch, and then it started clicking through testing, sending chats. And what was really helpful about browser use here is it was inspecting the console, checking for error logs. It was doing things like race conditions. It would like refresh Chrome. It would do all this stuff that would be very tedious and hard to execute as a human, but was super useful as a QA.你可以在这里看到，它实际上运行了 1 小时 45 分钟来对这个分支进行 QA。它在浏览时发现了几个问题，修复了一些东西，特别排查了一些竞态条件，表现真的很棒。所以，如果你还没有把浏览器自动化用于 QA，请一定要用起来。我这就通过查看声音并建立链接来结束我们的计算机使用操作，这真是太不可思议了。我其实现在正打算在 Slack 上给 Naomi 发消息说：“好消息。Astra 自己在 Flora 里做好了缩略图照片。超级可爱。”然后我打算给她发一个示例。这太有意思了，因为想一想这个绝佳的例子：她有个约会，而我们需要把这事做完，因为你们都希望尽快看到模型评测。Astra 为我们的缩略图制作了一张很棒的图片。
英文原文
You can see here it actually ran for an hour and 45 minutes basically QAing this branch. It found a couple issues when you were navigating. It fixed some things. It specifically looked at some race conditions and was really awesome. So, if you are not using browser use for QA, please do. Um I'm just going to go wrap our computer use action by looking at sound and made the links kind of incredible. I'm actually just going to slack Naomi right now and say, "Good news. Astra made the thumb photos itself in Flora. Super cute." And then I'm going to send her an example of it. And like this is so funny because think of a perfect example. She's got an appointment. We need this thing done because you all like your model reviews ASAP. And Astra made a great image for our thumbnail.所以这是一个非常好的例子，展示了模型以及浏览器使用和计算机使用是如何将繁重的工作从人类身上卸下，甚至在创意领域也是如此，让你能更快地完成工作，并让你给客户留下深刻印象。你们都是我的客户，是我的委托人，是我的观众。我更爱你们一点。所以，非常非常酷的例子。我爱 Astra。我爱浏览器操作。但是让我们来看一些其他好玩的内容。好，我们来谈谈写代码。
英文原文
And so this is a just a really good example of a model and browser use and computer use just taking toil off humans even in the creative field and letting you do your work a little bit faster and letting you impress your customers. You all are my customers. You're my clients. You're my audience. I love you a little bit more. So, very very cool example. I love Astra. I love browser use. But let's get to some other fun stuff. Okay, let's talk about coding.代码编写与产品情报图谱构建
是的，显然，它非常擅长写代码。但具体来说，它攻克了几个我到目前为止用 GPT-56、Fable 或 Opus 都没能解决的软件工程挑战。具体来说，我一直在为 Chat GPT 开发这个功能，这个产品情报功能，它有点像从 Intercom、Granola、Linear 和 GitHub 吸取你所有的产品情报，告诉你发生了什么、趋势是什么、你需要做什么。除了生成这些洞察和趋势之外，它还会生成关于你产品状态的自动 wiki。我把所有模型都丢进去试过了。我很聪明，在架构上也大致知道它需要怎么工作，但这很复杂。它必须摄取数据，必须决定持久化存储什么，必须处理数据，必须对洞察进行去重，必须生成 wiki，还必须对照外部来源验证该 wiki。Fable 在架构上搞出了一些匪夷所思的东西；5-6 则卡在洞察的质量上。而我告诉你们大家，Astra 一次性做成了。
英文原文
Yes, obviously, it's great at coding. Um but, specifically, it has broken through a couple software engineering challenges that I have not been able to crack thus far with GPT-56 or with Fable or with Opus. Specifically, I for Chat GPT have been working on this feature, this product intelligence feature that like sort of like sucks up all your product intelligence from like Intercom and Granola and Linear and GitHub and kind of tells you what's going on, what's trending, what you need to do. And in addition to creating those insights and trends, it generates this sort of like auto wiki of the state of your product. And I have thrown every model at this. I'm pretty smart. I kind of like architecturally know how it needs to work, but it is complex. It has to ingest data, has to decide what it durably stores, it has to process it, has to deduplicate insights, it has to generate a wiki, it has to verify that wiki against external sources, and like I Fable did insane things with the architecture. 5-6 just like got stuck on quality of insights, and I am telling you all Astra one-shotted.我当时的感觉就像是——我对这个模型的整个体验一直都是这样，也就是之前做这些非常具体的任务太难了，我已经反反复复试了 6 个月。然后突然之间 Astra 开始一次性做成。所以我一直在做这个产品图谱产品情报功能，做了很久，最后直接把它交给了 Astra，我说：“我开着一个分支，你能修复它吗？”然后它构建出来了。所以它从一堆不同的数据源（Intercom、Granola、Linear 等）摄取数据。它提取这些洞察，告诉我作为产品人员的前三大优先级应该是什么。AI 停滞，那是我们当时正在弄明白的那个竞态条件 bug。蜂窝网络服务取消功能坏了，然后人们想要本地部署的 Jira。所以 Jira 的朋友们，播客的赞助商们，大家想要本地部署的 Jira 集成。它随着时间生成这类图表。它告诉你有什么机会，而我告诉大家，我根本无法让任何其他模型从这组数据中得出这种质量的洞察。但我最喜欢的部分是，它实际生成了
英文原文
And I was like kind of like this has been my experience this entire model, which has been like I It's been so hard to do these like very specific tasks, and I've tried them over and over and over again for 6 months. And then all of a sudden Astra started to one-shot it. So, I have been working on this product graph product intelligence forever, and finally just gave it to Astra and I'm like, "Can you I have a branch open, can you fix it?" And it built it. So, it in you know, ingests um data from a bunch of different sources, Intercom, Granola, Linear, etc. It pulls in those insights, it tells me what my top three priorities as a product person should be. Um AI stalling, that was that um race condition bug that we were figuring out. Cell service cancellation is broken, and then people want on-prem Jira. So, Jira friends, please sponsors of the pod, people want on-prem Jira integration. It generates these kind of graphs over time. It It tells you what opportunities and I am telling you, I could not get any other model to get to this quality of insight out of a set of data. But, my favorite part is it actually generated自动化 Wiki 与产品开发
自动 Wiki 也能很好地完成。它所做的是抓取它能找到的关于你产品的所有信息，在这个例子中是关于 Chat Purity 的；它去查阅了 GitHub，查阅了我们的文档，基本解释了所有产品的当前功能、近期的变更、客户背景、我们需要修复的内容，然后通过 MCP 公开出来。我跟你说，这简直可以说是三步搞定（three-shot）。一次提示词就完成了 90%，接着大概用了两到三个其他提示词，最后就跑通了。我稍微润色了一下 UI，但这类事情以前所有模型在一开始都做不好。并不是说我无法从技术上解释我希望它如何实现，而是它在具体实现方式上做出的架构选择或其他决策直接导致了质量很差，而 Astro 确实把这个搞定了。所以，它极大地加速了我个人在 Chat Purity 上的产品开发和软件开发。
英文原文
the auto wiki well. So, what this does is it sucks up all the information it can find about your product, in this case about Chat Purity, and it went and looked at GitHub, it looked at our documents, and it just basically explains current function of all the product, recent changes, customer context, things that we need to fix, and then it exposes this via MCP. And I am telling you, this was like I would call it three-shot. One shot got it to 90% and it was like two or three other prompts, and finally it got it working. I had to polish the UI a little bit, but this is one of those things that just no none of these models could do really well out of the out of the gate. It wasn't that they I couldn't technically explain how I wanted it executed. The architecture and whatever decisions it made on how to do it just resulted in poor quality, and it really Astro really figured this one out. So, it has super accelerated my personal product development, software development on Chat Purity.Divoom Mini 2 像素音箱逆向与控制
但更重要的是，它让我做了一些好玩的东西。那么，让我们来聊聊写代码，但让它变得有趣一点。大家也都知道，我一直被这个小玩意折磨。这是一个 Divoom Mini 2。它其实就是一个蓝牙音箱，预装了专有软件。你没法——它没有 API，你破解不了它，黑不进去。GPT 5.5 是第一个甚至能让我在这台小电脑上完成最基本操作的模型。这曾经是——这是我的珠穆朗玛峰。而现在，我是说，我能够刷进这个小设备里的东西的质量已经非常惊人了。看，就像 Claire's Little Lab。它搞懂了像素算法，这算法我之前还得去逆向工程，真不容易。
英文原文
But, more important, it's let me build some fun stuff. So, let's talk about coding, but make it fun. So, you all know that I have been victimized by this thing. It's a um Divoom Mini 2. It is really just like a Bluetooth speaker. It comes pre-installed with proprietary software. You can't There's no API. You can't crack it. You can't hack it. And GPT 5.5 was the first one that even let me do the most basic thing on this little computer. This has been This is my my Everest. And already, I mean, the quality of what I've been able to flash onto this little device is amazing. Look, it's like Claire's Little Lab. It's figured out um the pixel algorithm, which I had to to reverse engineer. It was not easy.所以，它现在已经在做可爱像素画了。不过，让我给你们看看 Astra 在这里做成了什么。
英文原文
Um so, it's it's already doing cute art. But, let me show you what Astra was able to do here.Astra 做了一个小程序，让我能实时连接到这个设备。我可以用鼠标在设备上画画，我可以更换画面，我可以输入“I love my subscribers”。呃，它不会帮我做拼写检查。所有这些我都能实时推流过去。
英文原文
So, Astra built a little app that allows me to connect live to um this device. I can draw on the device using my mouse. I can change the thing. I can type I love my subscribers. Uh it's not going to spell check for me. I can do all that live live streaming.但更酷的是，在它彻底搞懂这玩意之后，我让 Astra 帮我写了一个 CLI，这样它就可以针对任何它想说的内容实时跟我交流。因此，我可以输入，让它再次使用该 CLI 向我们的观众介绍《How I AI》的最新一期节目。
英文原文
But, even cooler, I had Astra build me a CLI. Um now that it's totally figured out this thing, um so that it can talk to me live about anything it wants. And so, I can say um use the CLI again to tell our audience about the most recent episode of How I AI.现在它可以去查阅了。现在显示 Codex is working。非常可爱。它会认真思考自己在做什么，找出最新发布的《How I AI》节目，然后向 CLI 推送一段对观众友好的介绍。
英文原文
And so, it can now go look Now it's saying Codex is working. Very cute. It's going to think really hard about what it's doing. It's going to find the latest How I AI published episode, and it's going to stream an audience-friendly introduction to um the CLI.我是说，之前用那些早期的模型，我花了很久才让这东西打声招呼。而现在我真的是能在这个设备上做我想做的任何事了。它会显示 Codex is working，它正在读取那个 Python 脚本。然后，但愿一切顺利，它会向各位优秀的订阅者推送一条关于我们最新一期《How I AI》的消息。让我们看看它有没有弄对。它弄对了，最新一期是《Grok bot versus Open Claw》，但我们看看它能不能真正推送到这台小电脑上。我展示给大家看，我们一起看着它传过来。来了，正在推流。显示着 Claire shows us Grok bot，正在推流节目信息，接着它应该会展示一张超级超级可爱的关于我很多 Grok bot 的小图片。但看看那个，完全开箱即用。看它有多可爱，甚至还会动。好的，这真的又是我的珠穆朗玛峰。它还显示“inside PR supports active monitoring and moving agents from Open Claw 36 minutes a real agent tour. Find it in your podcast app today.”这东西——
英文原文
I mean, again, it took me forever to get this thing to say hi with these previous models. And now I am truly able to um do anything I want on this. So, it's going to say Codex is working. It's reading the Python that is the um script. And then, hopefully, fingers crossed, it will stream a message to you all beautiful subscribers about our most recent episode of How AI and let's just see if it gets it right. It got it right. The most recent episode is Grok bot versus Open Claw, but let's see if it can actually stream it to little computer. Um I'll show it to you all and we'll see it come in. Here it goes. It's streaming. So it's saying Claire shows us Grok bot. It's streaming in the episode information and then it should show us a super super cute little image um about my many Grok bots. But look at that. It just works totally out of the box. Look how cute that is. It even animates. Okay, this again is my Everest. It also says inside PR supports active monitoring and moving agents from Open Claw 36 minutes a real agent tour. Find it in your podcast app today. This thing各位，我们做到了。接下来我得把它 root 掉，这是下一步。我用这个做的另一件你们还没见过的特别酷的事，是我把它接入了我的 Codex hooks。所以现在当 Codex 需要什么时它能通知我，这也引出了我的下一个用例。非常好玩。再次说明，就是写一些我以前做不到、现在能做出来的代码。我们来看一下。
英文原文
We did it, folks. Um next I got to root it. So that's next. The other really cool thing that I did with this that you all haven't seen is I hooked it into my Codex hooks. So now it can tell me when Codex needs something and that brings me to my next use case. Very fun. Again, just coding things that I could not do before that I can do now. Let's look at it.复刻 90 年代风格 AIM 客户端
它正在帮我做一个 Mac 应用，把我的 Codex 线程变成 90 年代风格的 AIM 聊天软件。对于你们这些年轻漂亮、在 AIM 流行时可能都还没出生的人来说，AOL Instant Messenger 就是我们这些老一辈以前在互联网上互相聊天的方式。它看起来就像这样。
英文原文
It is building me a Mac app that turns my Codex threads into a 90s style AIM messenger. For those of you who are young and beautiful and were maybe not even born when AIM was around. Um AOL Instant Messenger, it's how we old used to chit chat with each other on the internet. And it looked like this.它看起来就像这样。再看看 Astra 为我做的这个东西。噢，太赞了。这是一个包裹在我所有实时 Codex 线程外的 90 年代 AIM Instant Messenger 风格的外壳。所以我的所有好友都是不同的线程。这是那个 Divoom 小程序。我可以打开我们刚刚聊天的那个会话。它说推送了 9 月 2 日关于 Grok Bot 与 Ohan Claw 的那期节目。我可以返回并给它发送另一条消息。我可以看不同的东西，比如我建了这个 Astro podcast for review。所以，我可以像跟我的 AIM 小伙伴聊天一样跟 Codex 聊天。简直太可爱了。
英文原文
It looked like this. And look at this thing that Astra made for me. Oh peace. It it a '90s AIM Instant Messenger style wrapper around all my live Codex threads. So, all my buddies are different threads. Here's the Dive Boom little mini app. Um so, I can open up the chat that we're chatting there. It said it streamed the September 2nd episode on Grok Bot versus Ohan Claw. I can go back and send it another message. I can look at different things like I built this Astro podcast for review. So, I can chat with Codex as if it's my little AIM buddy. It's so stinking cute.它允许我有自己的昵称。这是我的离开留言：“BRB letting my agents cook”。然后你在这里可以看到，我可以对刚刚正在处理的那个线程说：“Great job. That worked awesome. I love it so much.”而且它——它已经有一个活跃的输入状态指示（active writer），所以它知道自己什么时候实际上在工作——也就是现在正在工作。它不让我输入。小报错。再说一次，这也是一次提示词（one shot）生成的。但这确实就是我想让大家打开思路去想的那类东西。就像那些你过去觉得不可能在电脑上交互、开发软件、制作定制工具的事情，你现在就可以一次提示词完成。真的太、太、太好玩了。太棒了。
英文原文
It lets me have my screen name. Here's my away message, BRB letting my agents cook. And then you can see here, I can say to that thread I was just working on, "Great job. That worked awesome. I love it so much." And it can um it's already got an active active writer. So, it knows when it's actually working, which it is right now. It won't let me write. Little error. Again, this was one shot. But again, this is the kind of thing that I want your mind to go to. Like things that you never thought were possible interacting on your computer, building software, building custom things. You can do one shot right now. It is so so so fun. So awesome.Blender 3D 资产生成与芭比换装游戏
这就引出了另一件事，你们可能也会看到很多其他测评人员在做，因为我们少数提前体验到该模型的人之间，这事传得像野火一样快：它在 Blender 中生成 3D 资产方面非常厉害。这是他们在博客文章中特别提到的，也是它做得相当不错的一点。因此，这将在制作 3D 游戏方面带来质的飞跃。
英文原文
This brings me to um another thing that you'll probably see a lot of the other reviewers do because a few of us that had kind of early access to the model um this was like spreading like wildfire is it's really good at generating 3D assets in Blender. This is something that they call out in their blog post, but is something that it does quite well. And so, this is going to be a step change in making 3D games.我还有另一个基准测试。除了微型电脑基准（Tiny Computer Bench），我还有芭比时尚设计师基准（Barbie Fashion Designer Bench）。各位又都是年轻漂亮的人，所以你们不知道这个。但曾经有这么一款游戏，叫《Barbie Fashion Designer》。它是用光盘装的。你有一个 3D 芭比，你可以为她设计衣服，挑选颜色和印花，然后你实际上可以把衣服打印在这种可打印的面料上，再用胶带粘起来穿在你的芭比身上，然后她就像走在 3D T 台上一样走秀。就像这样。
英文原文
And I have another bar benchmark. In addition to have Tiny Computer Bench, I have Barbie Fashion Designer Bench. And you all again, are young beautiful people. So, you don't know this. But there is this game. It was called Barbie Fashion Designer. It came on a CD-ROM. And you had this 3D Barbie, and you could design her clothes, and like pick colors and prints, and then you could actually print out clothes on this like printable fabric, and then you could like tape it together and put it on your Barbie, and then she walked like a 3D runway. Like this.我知道你们大家都在外面做太空游戏、赛车游戏、RPG 以及各种各样的东西。那些不适合我。我是个女生，我想要 3D 芭比基准测试。宝贝，我就想要这个基准测试。朋友们，我尝试了一次又一次去把它做出来，甚至在 Fable 之前，甚至在 GPT-5 之前。这就是 Fable 做出来的效果，真让人头疼。真的是非常糟糕、糟糕透顶的东西。
英文原文
And I know all of you are out there making space games, and making race games, and making RPGs, and making all sorts of stuff. That is not for me. I am a girl. I want 3D Barbie bench. I want bench, baby. You guys, I've tried over and over and over to build this, even before Fable, even before GPT-5. This is what Fable did real ugh-o. Really just terrible, terrible stuff.所以，这就是我的基准。我想着，“我们能用 Blender 把芭比基准跑起来吗？”嗯，我得说它并不完美，但确实比以前好多了。这就是我们在 Blender 里做出来的 3D 芭比女孩。你可以看出比之前提升了一个档次。所以，我们取得了一些进展。
英文原文
And so, this was my bench. I was like, "Can we use Blender and get Barbie bench going?" And well, I will say it is imperfect. It is certainly better than it was. So, here's our Barbie 3D um gal that we made here in Blender. You can see a step up from this. So, we made some progress.但让我给你们看看它生成的完整的游戏，我觉得超酷。好的，让我给你们看看芭比基准做出了什么。现在我们有了这位迷人漂亮的小姐姐，你可以挑选她穿的不同上衣，可以选衬衫，可以更换下装。现在，裤子基准还没完全做好。她穿了这种像克里斯蒂娜·阿奎莱拉风格的开裆皮裤（chaps）造型，露出了髋部。挺别致的。鞋子嘛，虽然还有所欠缺，但你知道，谁会不喜欢另一双鞋呢？
英文原文
But, let me show you exactly the game it generated, which I think is super cool. Okay, let me show you what Barbie bench did. So, now we have this stunning, gorgeous gal here, and you can pick different tops she wears. You can do shirts. You can change bottoms. Now, pants bench still not uh quite done. She's got these nice like Christina Aguilera um sort of chaps situation, where her hips are showing. It's very chic. Um shoes, you know, leave something to be desired. But, you know, who doesn't like an other shoe?然后是配饰，再看看这位女王。看看她的眼镜，看看耳环戴上和摘下。一个小蝴蝶结，看起来真可爱。还有一个小锁头当作钱包手袋。接着你可以改变她的发型。我们来看看——绝了、绝了、绝了、绝了，挑染斜杠双马尾斜杠不管叫什么。你可以改变她的肤色，她可以很美。看看这个。然后你可以让她在 T 台上优美地走秀。我是说，没有什么比这更棒的了。
英文原文
And then accessories, again, look at this queen. Look at her glasses. Look at earrings on and off. A little bow, looking cute. A little lock um as as a purse. And then you can change her hair. Let's just uh well stunning stunning stunning stunning highlights {slash} pigtails {slash} whatever. Um you can change her skin tone. She can be beautiful. Look at this. And then you can have her walk the runway beautifully. I mean, nothing better than this.那么，这个完美吗？不完美。你会看到很多远比这个更好的游戏。我觉得这种人类3D渲染要难得多。不过这是一次成型的（one shot），所以我不能抱怨。但我还想给大家看一个不同的，我觉得那个要漂亮得多，也更有趣得多。大家知道，我一直在做这个家庭应用，来诱导我的孩子们做作业。然后，嗯，我让 Astra 把这个应用变成一段3D旅程，比如我的孩子们可以走向图书馆，然后说：“我读了20分钟书，领取我的奖励。”或者去月水塘（Moonwater Pond），看看，嗯，我的天气如何，我今天的心情如何。我们家现在在做很多类似 SEL（社交情感学习）的事情。所以，同样，就像这样漫步穿过这里，看这一切有多漂亮。有多超级可爱。嗯，你可以用键盘控制，我现在就是这么操作的。我相信，嗯，Astra 也会非常擅长控制这个。我是说，真的是一次成型。我完全没有写任何代码。我其实就只是说了句：“你能把这个做成一个3D的、你知道的、可以在不同地方穿行的旅程吗？”它直接开箱即用地做出了这个，简直太可爱了。太可爱了。我本来永远也做不出这样的东西。永远、永远、永远都不可能。而 Astra 让它完全变成了可能。我太喜欢它了。这让我对未来构建产品、未来为我的孩子们构建东西、个人软件、所有这些事情感到无比兴奋。我就是对 Astra 感到非常狂热。
英文原文
Now, is this perfect? No. You're going to see a lot of games that are a lot better than this. I think this like human 3D rendering is a lot harder. This was one shot though, so I cannot complain. I want to show you a different one though that I think is a lot more beautiful and a lot more interesting. So, you all know that I have been working on this family app to bribe my children to do their homework. And um, I asked Astra to turn this app into a 3D journey where my kids could walk to the library, for example, and say, "I read 20 minutes, collect my reward." Or go to Moonwater Pond and see um, what my weather is, my emotions are today. We're doing a lot of like SEL stuff in my house. So, again, like walking through this and look how beautiful all this is. How so super cute. Um, you can use keyboard control, which I'm using right now. I'm sure um, Astra would be really good at controlling this as well. I mean, truly one shot. I did not code any of this. I just actually said, "Can you make this a 3D, you know, journey where you can walk through different places?" And it did this out of the box and it's so stinking cute. It's so cute. I would never be able to do something like this. Never, never, never. And Astra made it totally possible. I love it so much. It makes me so excited about what the future of building products is, what the future of building things for my kids are, personal software, all those things. I'm just psyched about Astra.好了，作为收尾，在其中一次休息期间，我们的设计师说：“我得去开个会。我不确定我能不能及时做出缩略图。”所以，我确实让 Astra 接管了我的电脑，并实际使用 Figma 为本周的这期节目制作缩略图。我们来看看它做了什么。看看那个，经典的 YouTube 风格。这张脸，也许这个会正式上线。同样，这是电脑使用（computer use）在今天一直表现相当糟糕的一项任务。我一直没能让它把 Figma 用得很好，但看看那个。它做到了。相当不可思议。
英文原文
Okay, and to wrap it up during one of the breaks, our designer said, I have to go to a meeting. I'm not sure if I'll be able to do thumbs in time. So, I did ask Astra to take over my computer and actually use Figma to make thumbnails for this week's episode. Let's see what it did. Look at that, YouTube classic. This face, maybe this one will go live. Again, this has been something that computer use has been quite terrible at today. I have not gotten it to use Figma very well, but look at that. It did it. Pretty incredible.Astra / GPT-6 总结与评价
好了，退一步来看，Astra GPD-6 是个重磅炸弹。它擅长什么呢？第一，它擅长电脑和浏览器使用。你应该把它用在什么地方？浏览复杂的 UI、大量的按钮、大量的节点、大量的小输入框，那些你不想填写的琐碎内容。在这一点上真的、非常出色。我在我的 CRM 里用它构建了新的工作流。我在 Flora 里用它生成缩略图图片。然后正如你们看到的，我在 Figma 里用它真正把那些缩略图拼在了一起。这样我们就有了本期播客的缩略图。我们可能会再润色一下，但确实很不错。
英文原文
All right, so to take a step back, Astra GPD-6 is a banger. What is it good at? One, it's good at computer and browser use. What should you use that for? Navigating complex UI, lots of buttons, lots of nodes, lots of little fields, things that you don't want to fill out. Really, really exceptional at that. I used it in my CRM to build new workflows. I used it in Flora to generate thumbnail images. And then you saw, I used it in Figma to actually put those thumbnail images together. So, that we had thumbnails for this podcast. We'll probably polish them, but truly not bad.在编程方面，它将帮助你变得更有野心。在过去这些模型根本做不到的一些事情上，它一次成型搞定了好几样。一个是解析海量的非结构化数据、去重并从中提炼洞见，然后为我们在 Chat PRD 中生成一个出色的 UI，向我们的客户分享关于他们自己产品的洞见。第二个就是这个家伙，破解硬件。请去破解你们的硬件，破解这个。破解你们的蓝牙灯泡。破解、破解、破解。这家伙，单单是能够与硬件和现实世界进行交互，就是一件如此好玩的事情。根据我的经验，而且我从事这方面工作已经很长时间了，这个模型带来了一次跨越式的改变（step change）。它提升了你在可以编写什么样代码上的野心。所以，像通过把这些放过去做个网站，我们全都能做到。来做3D游戏吧。来做芭比基准测试（Barbie bench）吧。我要为我的孩子做这个3D游戏，或者让我们做桌面应用，比如这个类似 AIM 风格的即时通讯软件，它封装了 Codex，做出了相当不可思议的事情，让我能在这个非常有趣的 UI 中与我的 Codex 线程交互。同样，这也是在 GPT-6 之前我原本永远不可能构建出的东西。一次成型。
英文原文
On the coding side, it's going to help you get a lot more ambitious. So, it one shot a couple things that in the past these models just could not do. One was parsing through a lot of unstructured data, deduplicating, and deriving insights out of that, and then generating a great UI for us in Chat PRD to share those insights with our customers about their own product. The second one was this guy, hacking hardware. Please hack your hardware, hack this. Hack your Bluetooth light bulbs. Hack, hack, hack. This guy, just being able to interact with hardware and the real world is such a fun thing. And it was this it's There's a step change in this model in my experience, and I've been working on this for a long time. Up-leveling your ambition of what kind of things you can code. So, like website by putting these over, we can all do that. Let's do 3D games. Let's do Barbie bench. I'm going to do this 3D game for my kid, or let's do desktop apps like this aim style messenger that wraps Codex and does something pretty incredible and lets me interact with my Codex threads in this really fun UI. Again, something I would have never been able to build in GPT-6. One shot it.我真的很喜欢这个模型。我只想说一些类似宏观/元层面的感受，它不烦人。呃，它有点慢，但也不是太慢。我很满意。它能把事情办妥。这将成为我的日常主力。我爱她。以上就是我对 GPT-5.6 的评测。我们会做一期后续节目，将 5.6 与 Fable 5.1 以及其他几个新模型进行对比。我们将进行 How I AI 基准测试。嗯，我们将进行，进行盲测 Claire 品鉴测试。但就目前而言，一旦你获得了 GPT-6 的访问权限，你就应该去使用它，请向我展示你构建出的东西。感谢参与 How I AI，我迫不及待想看看你们用这个新模型做出什么了。
英文原文
I really do love this model. I will just say like meta things, it's not annoying. Uh it's kind of slow, but like not too slow. I'm happy with it. It gets the stuff done. This is going to be my daily driver. I love her. So, that has been my review of GPT-5.6. We will do a follow-up episode comparing 5.6 to Fable 5.1 and a couple other than the new models. We'll do the How I AI bench. Um we'll do the the blind Claire taste test. But for now, as soon as you get access to GPT-6, you should be using it, and please show me what you build. Thanks for joining How I AI, and I cannot wait to see what you do with this new model.非常感谢大家的收看。如果你喜欢这个节目，请在 YouTube 这里点赞并订阅，或者更好的是，给我们留下一条评论写下你的想法。
英文原文
Thanks so much for watching. If you enjoyed the show, please like and subscribe here on YouTube or even better, leave us a comment with your thoughts.你也可以在 Apple Podcasts、Spotify 或你喜爱的播客应用上找到本播客。请考虑给我们留下评分和评论，这将帮助其他人发现这个节目。
英文原文
You can also find this podcast on Apple Podcasts, Spotify, or your favorite podcast app. Please consider leaving us a rating and review, which will help others find the show.你可以在 howiaiipod.com 查看我们所有的节目并了解关于该节目的更多信息。下次见。