That's either created on the fly for you Or or or kind of pulled together and synthesized through different things that are out there So I kind of dream of one day Like you can almost imagine all of Facebook or Instagram being you know Like a single AI model that has unified all these different content types and systems together That actually have different objectives over different time frames, right?

所以，我夢想有一天，你幾乎可以想象 Facebook 或 Instagram 的所有內容都會變成一個單一的人工智能模型，將所有這些不同的內容類型和系統統一在一起。

Because some of it is just showing you you know What's the interesting content that you're gonna be that you want to see today?

因為有些內容只是向你展示你今天想看的有趣內容是什麼？

But some of it is helping you build out your network over the long term right people you may know or accounts These these multimodal Tend to be yeah tend to be much better at recognizing patterns weak signals and such and so one of the things that people people always you know, it's so interesting that AI has been So deep in your company.

但其中一些是幫助你建立你的網絡長期正確的人，你可能知道或帳戶這些多模態往往是呀往往是更好地識別模式弱信號之類的，所以人們的人總是你知道的事情之一，它是如此有趣，人工智能已經如此深入你的公司。

You've been building GPU infrastructure running these large recommender systems for a long time Now you're now you're slow on it actually getting to GPUs.

你們構建運行這些大型推薦系統的 GPU 基礎架構已經有很長一段時間了。

Yeah, I was trying to be nice I know.

是啊，我知道我是想表現得友好些。

Well, tell everybody about the creator AI and AI studio that's gonna enable you to do that Yeah, so we actually I mean this is something that we're you know, we've talked about it a bit But we're rolling it out a lot wider today You know a lot of our vision is that I don't think that there's just gonna be like one AI model, right?

好吧，跟大家介紹一下人工智能創造者和人工智能工作室，它們能讓你做到這一點。 是的，所以我們實際上，我的意思是，這是我們正在做的事情，你知道，我們已經談論過它，但我們今天要把它推廣得更廣，你知道，我們的很多願景是，我不認為只有一個人工智能模型，對嗎？

I mean, this is something that some of the other companies in the industry They're like, you know, it's like they're building like one central agent and and yeah We'll have the med AI assistant that you can use but a lot of our vision is that We want to empower all the people who use our products to basically create agents for themselves So whether that's you know, all the many many millions of creators that are on the platform or you know hundreds of millions of small businesses we eventually want to just be able to pull in all your content and very quickly stand up a business agent and Be able to interact with your customers and you know do sales and customer support and all that The one that we're that we're just starting to roll out more now is We call it AI studio and it basically is a set of tools that eventually is gonna make it so that every creator can build Sort of an AI version of themselves As sort of an agent or an assistant that that their community can interact with There's kind of a fundamental issue here where there's there's just not enough hours in the day, right?

我的意思是，這是行業內其他一些公司在做的事情 他們就像，你知道，就像他們在建立一箇中央代理 是的，我們會有一個你可以使用的人工智能助理還是數以億計的小企業，我們最終都希望能拉入你的所有內容，並迅速建立一個業務代理，能夠與你的客戶互動，進行銷售和客戶支持等等。我們稱之為人工智能工作室，它基本上是一套工具，最終將使每個創作者都能建立一個人工智能版的自己，作為他們的社區可以與之互動的代理或助手、對不對？

It's like if you're if you're a creator you want to engage more with your community But you you're constrained on time and similarly your community wants to engage with you But it's tough.

這就好比，如果你是創作者，你想更多地與你的社區互動，但你的時間有限，同樣，你的社區也想與你互動，但這很難。

I mean, there's there's just there's a limited time to do that So the next best thing is is allowing people to basically create These artifacts, right?

我的意思是，時間有限，所以最好的辦法就是允許人們創造這些人工製品，對嗎？

It's um, it's sort of it's an agent, but it's you train it to kind of on your material To represent you in the way that you want I think it it's it's a very kind of creative endeavor almost like a like a piece of art or content that you're putting out There and no, it's it's me very clear that it's not engaging with the creator themselves But I think it'll be another interesting way just like how creators put out content on on these Social systems to be able to have agents that do that One of the interesting use cases that we're seeing is people kind of using these agents for support This was one thing that that was a little bit surprising to me is one of the top use cases for meta AI already is People basically using it to roleplay difficult social Situations that they're gonna be in so whether it's a professional situation.

我認為這是一種非常有創意的努力，幾乎就像一件藝術品或你在那裡發佈的內容，而不是、但我認為這將是另一種有趣的方式 就像創作者如何在這些社交系統上發佈內容一樣 讓代理來做這些事 我們看到的一個有趣的用例是 人們使用這些代理來提供支持

It's like, all right I want to ask my manager like how do I get a promotion or raise or I'm having this fight with my friend or I'm Having this difficult situation with my girlfriend Like how like how can this conversation go and basically having a like a completely?

這就像，好吧，我想問我的經理，比如我怎麼才能升職或加薪，或者我和我的朋友吵架了，或者我和我的女朋友之間出現了這種困難的情況，比如如何才能進行這樣的對話，基本上就像一個完全？

judgment-free Zone where you can basically roleplay that and see how the conversation will go and and get feedback on it But a lot of people they don't just want to interact with the same kind of you know agent whether it's meta AI or chat GPT Or whatever it is that everyone else is using they want to kind of create their own things So the llamas is genuinely important We built this concept to call an AI factory AI foundry around it so that we can help everybody build You know a lot of people they they they have a desire to Build AI and it's very important for them to own the AI because once they put that into their their flywheel their data flywheel That's how their company's institutional knowledge is encoded and embedded into an AI So they can't afford to have the AI flywheel the data flywheel that experience flywheel somewhere else So and then so open source allows them to do that But they they don't really know how to turn this whole thing into an AI and so we created this thing called an AI foundry we provide the tooling we provide the expertise llama Technology we have the ability to help them turn this whole thing Into an AI service and and then when when we're done with that They take it they own it we the output of its what we call a NIM and this NIM this this neural micro and video inference microservice They just download it they take it and they run it anywhere they like including on-prem and we have a whole ecosystem of partners From OEMs that can run the NIMs to GSIs like Accenture that that we've trained and work with to create llama based NIMs and and and Pipelines and and now we're we're off helping enterprises all over the world do this.

無判斷區但很多人並不想只與同一種代理互動，不管是元人工智能還是哈拉 GPT，或者是其他人正在使用的任何東西，他們想創造自己的東西，所以 llamas 真的很重要。很多人都希望構建人工智能，而擁有人工智能對他們來說非常重要，因為一旦他們將人工智能融入他們的飛輪、他們的數據飛輪，他們公司的機構知識就會被編碼並嵌入到人工智能中。是以，他們不能把人工智能飛輪、數據飛輪和經驗飛輪放在其他地方，是以開源允許他們這樣做，但他們並不真正知道如何把這些東西變成人工智能。我們有能力幫助他們將這一切轉化為人工智能服務，然後當我

I mean, it's really quite an exciting thing It's really all triggered off of the llama open sourcing the the Ray-Ban metaglass Your vision for for bringing AI into the virtual world is really interesting tell us about that Yeah, well, okay a lot to unpack in there The segment anything model that you're talking about We're actually presenting I think the next version of that here at SIGGRAPH segment anything, too And it is it now works.

我的意思是，這真的是一件非常令人興奮的事情，這一切都源於駱駝對雷朋 metaglass 的開源，你將人工智能帶入虛擬世界的願景真的很有趣，請給我們介紹一下。

It's faster.

速度更快

It works with Here we go It works in video now as well, I think these are actually cattle from my ranch in Kauai By the way, these are what they're called delicious delicious delicious marks There you go Yeah, another next time we do so mark mark came over to my house and we made Philly cheesesteak together next time You're bringing the time you did I was more of a sous-chef the fun effects Will be able to be made with this and because it'll be open a lot of more serious applications across the industry, too So, you know, I mean scientists use this stuff to you know study like coral reefs and natural habitats and in kind of evolution of landscapes and things like that, but I mean it's a being able to do this in video and having a be a zero shot and be able to kind of interact with it and tell it what you want to track is It's it's it's pretty cool research.

我認為這些牛實際上是我在考艾島牧場的牛，順便說一下，這些牛就是它們所謂的美味可口的標記，你去吧 是的，下次我們再這樣做，標記標記來到我家，下次我們一起做費城芝士牛排，你把你做的時間，我更多的是一個副廚師的樂趣效果將能夠與此，因為它將是開放的整個行業的很多更嚴重的應用、科學家們用它來研究珊瑚礁和自然棲息地 以及地貌的進化之類的東西 但我的意思是 它能在視頻中實現這一點 並能實現零誤差拍攝

I think what you're gonna end up with is It's just a whole series of different potential glasses products at different price points with different levels of technology in them So I kind of think Based on what we're seeing now with the Ray-Ban metas.

我認為你最終會看到的是一系列不同價位、不同技術水平的潛在眼鏡產品。

I would guess that displayless AI glasses at like a $300 price point are going to be a really big product that like tens of millions of people or hundreds of millions of people eventually are gonna have You're gonna have super interactive AI that you're talking to yeah visual you have visual language understanding that you just showed You have real-time translation.

我猜想，300 美元價位的無顯示屏人工智能眼鏡將成為一個真正的大產品，最終將有數千萬人或數億人擁有這種眼鏡，你將擁有超級交互式人工智能，你可以與之對話，是的，你可以視覺語言理解，你可以實時翻譯。

You could talk to me in one language.

你可以用一種語言和我交談。

I hear it in another language Yeah, then the display is obviously gonna be great, too But it's gonna add a little bit of weight to the glasses and it's gonna make them more expensive So I think for there will be a lot of people who want the kind of full holographic display But there are also gonna be a lot of people for whom You know, they they want something that eventually is gonna be like really thin glasses and so you guys know when when when Zuck calls it h100 his data center of h100 There's like I think you're coming up on 600,000 and and they're we're good customers That's how you get the Jensen Q&A at SIGGRAPH It's ladies and gentlemen Mark Zuckerberg, thank you You

我聽到的是另一種語言 是啊，顯示屏顯然也會很棒 但它會增加眼鏡的重量，也會讓眼鏡更貴 所以我覺得會有很多人想要全息顯示屏他們想要的東西，最終會是非常薄的眼鏡 所以你們知道，當扎克稱它為h100時 他的h100數據中心有60萬用戶 我們是好客戶