The following is a conversation with Mark Zuckerberg, CEO of Facebook, now called Mehta. Please allow me to say a few words about this conversation with Mark Zuckerberg, about social media, and about what troubles me in the world today, and what gives me hope. If this is not interesting to you, I understand, please skip.
I believe that at its best, social media puts a mirror to humanity and reveals the full complexity of our world, shining a light on the dark aspects of human nature, and giving us hope, a way out, through compassionate but tense chaos of conversation that eventually can turn into understanding, friendship, and even love. But this is not simple. Our world is not simple.
It is full of human suffering. I think about the hundreds of millions of people who are starving and who live in extreme poverty. The 1 million people who take their own life every year, the 20 million people that attempt it, and the many, many more millions who suffer quietly, in ways that numbers can never know. I'm troubled by the cruelty and pain of war. Today my heart goes out to the people of Ukraine.
My grandfather spilled his blood on this land. All the line is a machine gunner against the Nazi invasion, surviving impossible odds. I am nothing without him. His blood runs in my blood. My words are useless here. I send my love. It's all I have. I hope to travel to Russia and Ukraine soon. I will speak to citizens and leaders, including Vladimir Putin. Because I've said in the past, I don't care about access, fame, money or power. And I'm afraid of nothing.
But I am who I am. And my goal in conversation is to understand the human being before me, no matter who they are, no matter their position. And I do believe the line between good and evil runs through the heart of every man.
So this is it. This is our world. It is full of hate, violence and destruction. But it is also full of love, beauty and the insatiable desire to help each other. The people who run the social networks that show this world, that show us to ourselves have the greatest of responsibilities.
In a time of war, pandemic, atrocity, we turn to social networks to share real human insights and experiences, to organize protests and celebrations, to learn and to challenge our understanding of the world of our history and of our future, and above all to be reminded of our common humanity. When the social networks fail, they have the power to cause immense suffering. And when they succeed, they have the power to lessen that suffering. This is hard. It's a responsibility, perhaps almost unlike any other in history.
This podcast conversation attempts to understand the man and the company who take this responsibility on, where they fail or they hope to succeed. Mark Zuckerberg's feet are often held to the fire, as they should be. And this actually gives me hope. The power of innovation and engineering coupled with the freedom of speech in the form of its highest ideal, I believe, can solve any problem in the world. But that's just it. Both are necessary. The engineer and the critic.
I believe that criticism is essential, but cynicism is not. And I worry that in our public discourse, cynicism too easily masquerades as wisdom, as truth, becomes viral and takes over and worse, suffocates the dreams of young minds who want to build solutions to the problems of the world. We need to inspire those young minds. At least for me, they give me hope.
And one small way I'm trying to contribute is to have honest conversations like these that don't just ride the viral wave of cynicism, but seek to understand the failures and successes of the past, the problems before us, and the possible solutions in this very complicated world of ours. I'm sure I will fail often. And I count on the critic to point it out when I do.
But I ask for one thing, and that is to fuel the fire of optimism, especially in those who dream to build solutions. Because without that, we don't have a chance. On this too fragile tiny planet of ours.
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This is the Lex Friedman podcast and here is my conversation with Mark Zuckerberg.
这是Lex Friedman的播客,我和Mark Zuckerberg的对话马上开始。
Is it possible that this conversation is happening inside the metaverse created by you, by Meta many years from now and we're doing a memory replay experience? I don't know the answer to that. Then I'd be some computer construct and not the person who created that meta company. But that would truly be meta.
Right, so this could be somebody else using the Mark Zuckerberg avatar. You can do the Mark and the Lex conversation replay from four decades ago when Meta was first sort of... I mean, it's not going to be four decades before we have photorealistic avatars like this. So I think we're much closer to that.
好的,这个可能是其他人使用马克·扎克伯格头像。你可以回放马克和莱克斯四十年前的对话,那时 Meta 第一次出现...我的意思是,我们不需要四十年才能拥有像这样逼真的头像。所以我认为我们离那个目标更近了。
Well that's something you talk about is how passionate you are about the idea of the avatar representing who you are in the metaverse. So I do these podcasts in person. I'm a stickler for that because there's a magic to the in person conversation. How long do you think it'll be before you can have the same kind of magic in the metaverse, the same kind of intimacy in the chemistry, whatever the heck it's there when we're talking a person, how difficult does it, how long before we have it in the metaverse?
Well, I think that's... This is like the key question, right? Because the thing that's different about virtual and hopefully augmented reality compared to all other forms of digital platforms before is this feeling of presence, right? The feeling that you're right, that you're in an experience and that you're there with other people or in another place. And that's just different from all of the other screens that we have today, right? Fones, TVs, all the stuff. It's, you know, they're trying to, in some cases, deliver experiences that feel high fidelity, but at no point do you actually feel like you're in it, right?
At some level, your content is trying to sort of convince you that this is a realistic thing that's happening, but all of the kind of subtle signals are telling you, "No, you're looking at a screen." So the question about how you develop these systems is like, what are all of the things that make the physical world all the different cues?
So I think on visual presence and spatial audio, we're making reasonable progress. Spatial audio makes a huge deal. I don't know if you've tried this experience, work rooms that we launch where you have meetings. And I basically made a rule for all of the top management folks at the company that they need to be doing standing meetings in work rooms already. I feel like we got a dog food this. This is how people are going to work in the future. So we have to adopt this now.
And there are already a lot of things that I think feel significantly better than typical Zoom meetings. Even though the avatars are a lot lower fidelity, you know, the idea that you have spatial audio, you're around a table in VR with people. If someone's talking from over there, it sounds like it's talking from over there. You can see the arm gestures and stuff feel more natural. You can have side conversations, which is something that you can't really do in Zoom. I guess you can text someone out of band. But if you're actually sitting around a table with people, you can lean over and whisper to the person next to you and have a conversation that you can't really do with.
In just video communication. So I think it's interesting in what ways some of these things already feel more real than a lot of the technology that we have. Even when the visual fidelity isn't quite there, but I think it'll get there over the next few years. Now I mean, you were asking about comparing that to the true physical world, not Zoom or something like that. But there, I think you have feelings of temperature, olfactory, obviously touch. We're working on haptic gloves. The sense that you want to put your hands down and feel some pressure from the table. All these things I think are going to be really critical to be able to keep up this illusion that you're in a world and that you're fully present in this world. I think we're going to have a lot of these building blocks within the next 10 years or so.
Even before that, I think it's amazing how much you're just going to be able to build with software that sort of masks some of these things. Realism, I'm going along, but I was told we have a few hours here. We're here for five to six hours to bring this.
Yeah, so look, that's on the shorter end of the congressional testimonies I've done. But one of the things that we found with hand presence, right, so the earliest VR you just have the headset and then, that was cool, you could look around, you feel like you're in a place, but you don't feel like you're really able to interact with it until you have hands. Then there was this big question where once you got hands, what's the right way to represent them? Initially, all of our assumptions was, okay, when I look down and see my hands in the physical world, I see an arm and it's going to be super weird if you see just your hand.
But it turned out to not be the case because there's this issue with your arms, which is like, what's your elbow angle? If the elbow angle that we're interpolating based on where your hand is and where your headset is actually as an accurate, it creates this very uncomfortable feeling where it's like, oh, my arm is actually out like this, but it's like, showing it in here and that actually broke the feeling of presence a lot more whereas it turns out that if you just show the hands and you don't show the arms, it actually is fine for people..
I think that there's a bunch of these interesting psychological cues where it'll be more about getting the right details right. I think a lot of that will be possible even over a few year period or a five year period and we won't need every single thing to be solved to deliver this full sense of presence.
Yeah, that's a fascinating psychology question of what is the essence that makes in person conversation special? It's like emojis are able to convey emotion really well even though they're obviously not photorealistic. And so in that same way, just like you're saying, just showing the hands is able to create a comfortable expression with your hands. So I wonder what that is.
People in the world, wars, you can write letters and you can fall in love with just writing letters. You don't need to see each other in person. You can convey emotion. You can be depth of experience with just words. So that's a, I think, a fascinating place to explore psychology of like, how do you find that intimacy?
Yeah. And the way that I come to all of this stuff is, you know, I basically studied psychology and computer science. So all of the work that I do is sort of at the intersection of those things. I think most of the other big tech companies are building technology for you to interact with. What I care about is building technology to help people interact with each other.
So it's, I think it's a somewhat different approach than most of the other tech entrepreneurs and big companies come at this from. And a lot of the lessons in terms of how I think about designing products come from some just basic elements of psychology, right? In terms of, you know, our brains, you know, you can compare to the brains of other animals, you know, we're very wired to specific things, facial expressions, right?
I mean, we're, we're very visual, right? So compared to other animals, I mean, that's, that's clearly the, the, the main sense that most people have. But there's whole part of your brain that's just kind of focused on, on reading facial cues. So, you know, when we're designing the next version of Quest, where the VR headset, a big focus for us is face tracking and basically eye tracking so you can make eye contact, which again, isn't really something that you can do over a video conference.
It's sort of amazing how much, how far video conferencing has gotten without the ability to make eye contact, right? It's sort of a bizarre thing if you think about it. You're like looking at someone's face, you know, sometimes for, you know, an hour when you're in a meeting and like, you looking at their eyes to them doesn't look like you're looking at their eyes. So it's a, you're always looking at me pass each other.
I guess, yeah, I guess you're right. You're not sending that signal. Well, you're trying to, right? You're trying to. Like a lot of times, I mean, I, or at least I find myself, I'm trying to look into the other person's eyes, but they don't feel like you're looking to their eyes.
Yeah. So then the question is, all right. And I supposed to look at the camera so that way you can, you know, have a, have a sensation that I'm looking at you. I think that that's an interesting question. And then, you know, with VR, um, today, even without eye tracking and knowing what your eyes are actually looking at, you can fake it reasonably well, right? So you can look at like where the head poses and if it looks like I'm kind of looking in your general direction, then you can sort of assume that maybe there's some eye contact and intended and you can do it in a way where it's okay, maybe not.
It's like a, maybe it's not a, you know, fixated stare, but, um, but it's somewhat natural. But once you have actual eye tracking, you can, you can do it for real. And I think that's really important stuff.
So when I think about Meta's contribution to this field, I have to say it's not clear to me that any of the other companies that are focused on, on the metaverse or on virtual and augmented reality are going to prioritize putting these features in the hardware because like everything they're trade-offs, right?
I mean, they, it adds, it adds some weight to the device. Maybe it adds some thickness. You could totally see another company taking the approach of, let's just make the lightest and thinnest thing possible. But, you know, I want us to design the most human thing possible, um, that creates the richest sense of presence and, um, because so much of, of human, um, emotion and expression comes from these like micro movements.
If I like to move my eyebrow, you know, a millimeter, you will notice and it, that like means something. Um, so the fact that we're losing these signals, um, and a lot of communication, I think, is, is a loss. And it's, so it's not like, okay, there's one feature and you add this, then it, all of a sudden, is going to feel like we have real presence. You can sort of look at how the, the human brain works and how we, we express and, and kind of read emotions and you can just build a roadmap of, of that, you know, of just, what are the most important things to try to unlock over a five to ten year period and just try to make the experience more and more human and social.
When do you think would be, uh, a moment, like a singularity moment for the metaverse where there's a lot of ways to ask this question, but, you know, people will have many or most of their meaningful experiences in the metaverse versus the real world.
And actually it's interesting to think about the fact that a lot of people are having the most important moments of their life happen in the digital sphere, especially in Audra and COVID, you know, like even falling in love or meeting friends or getting excited about stuff that is happening on the 2D digital plane.
When do you think the metaverse will provide those experiences for a large number like a, yeah, I think it's a really good question. There was someone, you know, I read this piece that frame this says, a lot of people think that the metaverse is about a place, but one definition of this is it's about a time when basically immersive digital worlds become the primary way that we, that we live our lives and spend our time.
I think that that's a reasonable construct. And from that perspective, you know, I think you also just want to look at this as a continuation because it's not like, okay, we are building digital worlds, but we don't have that today. I think, you know, you and I probably already live a very large part of our life in digital worlds. They're just not 3D immersive virtual reality, but you know, I do a lot of meetings over video or I spend a lot of time writing things over email or WhatsApp or whatever.
So what is it going to take to get there for kind of the immersive presence version of this, which I think is what you're asking? And for that, I think that there's just a bunch of different use cases, right? And I think when you're building technology, I think you're, a lot of it is just you're managing this duality where on the one hand, you want to build these elegant things that can scale and, you know, have billions of people use them and get value from them. And then on the other hand, you're fighting this kind of ground game where it's just, there are just a lot of different use cases and people do different things and like you want to be able to unlock them.
The first ones that we basically went after were gaming with Quest and social experiences. And this is, you know, it goes back to when we started working on virtual reality. My theory at the time was basically, people thought about it as gaming, but if you look at all computing platforms up to that point, you know, gaming is a huge part. It was a huge part of PCs. It was a huge part of mobile, but it was also very decentralized, right? There wasn't, you know, for the most part, you know, one or two gaming companies. There were a lot of gaming companies and gaming is somewhat hit-space. And we're getting some games that are that have more longevity, but, but it put in general, you know, there were a lot of a lot of different games out there.
But on PC and, and on mobile, the companies that focused on communication and social interaction, there tended to be a smaller number of those and that ended up being just as important of a thing as all of the games that you did combined.
I think productivity is another area. That's obviously something that we've historically been less focused on, but I think it's going to be really important.
我认为提高生产率是另一个领域。这显然不是我们历史上关注的重点,但我认为这将非常重要。
Was work room, or give me productivity in the collaborative aspect of it?
这个房间是工作室吗?或者说它能在协作方面增强我的生产力吗?
Yeah, I think that there's a work room aspect of this, like a meeting aspect, and then I think that there's like a, you know, word, Excel, you know, productivity. You're like, you're working or coding or what, what knowledge work, right? It's as opposed to just, to just meetings.
So you can kind of go through all these different use cases, you know, gaming I think we're well on our way. Social, I think, we're just the kind of pre-eminent company that focuses on this. And I think that that's already on quest becoming the, you know, if you look at the list of what are the top apps, you know, social apps are already, you know, number one, two, three. So that's kind of becoming a critical thing.
But I don't know, I would imagine for someone like you, it'll be, you know, until we get, you know, a lot of the work things dialed in, right? And when this is just like much more adopted and, and clearly better than Zoom for VC, when, you know, if you're doing your, your coding or your writing or whatever it is, in VR, which it's not that far off to imagine that because it's pretty soon, you're just going to be able to have a screen that's bigger than, you know, it'll be your ideal setup and you can bring it with you and put it on anywhere and have your, your kind of ideal workstation.
So I think that there are a few things to work out on that. But I don't think that that's more than, you know, five years off. And then you'll get a bunch of other things that aren't even possible or you don't even think about using a phone or PC for today, like fitness, right? So I mean, I know that you're, you know, we were talking before about how you're, you're into running and like I'm really into, you know, a lot of things around fitness as well, you know, different things in different places.
I got really into hydrofoiling recently and nice. Um, I saw video surfing and, um, I used to fence competitively. I like run. And you were saying that you were thinking about trying different martial arts and I tried to trick you and convince you into doing Brazilian Jiu Jitsu or you actually mentioned that that was one you're curious about. And I did. Is that a trick? Yeah. I don't know. We're in the metaverse now. Yeah. No, I took that seriously. I thought that that was a, that was a real, uh, suggestion.
That would be an amazing chance if we ever step on the mat together and just like roll around. I'll show you some moves. Give me a year to train and, and then, and then we just like rock, you know, you've seen Rocky for with a Russian faces off the American. I'm the Russian in this picture. And then you're the Rocky, the underdog that gets to it to win the idea of me as Rocky and like fighting is, um, if he dies, he dies. Sorry. It's had to. I mean, anyway, yeah.
But I mean, a lot of aspects of fitness, you know, I don't know if you've, if you've tried super natural on quest or,
但是我是指健身的许多方面,你知道吗,我不知道你是否尝试过在奎斯特上运行超自然吗?
so first of all, can I just comment on the fact every time I played around with quest two, I just, I get giddy every time I step into virtual reality. So you mentioned productivity on those kinds of things. That's definitely something I'm excited about. But really, I just love the possibilities of stepping into that world. It's, uh, maybe it's the introverted me, but it just feels like the most convenient way to travel into worlds, into worlds that are similar to the real world or totally different to it's like Alice in Wonderland, just try out crazy stuff, the possibilities and this.
And I just, I personally, and just love get excited for stepping in those virtual worlds. I'm, so I'm a huge fan in terms of the, uh, the productivity as a program. I spend most of my day programming. That's, that's really interesting also. But then you have to develop the right IDs. You have to develop. Yeah. Like the, there has to be a threshold where a large amount of the program community moves there. But the collaborative aspects that are possible in terms of meetings, in terms of the, um, when, when two coders are working together, uh, I mean, that, the possibility is there is super, super exciting.
I think that in building this, we sort of need to balance. There are going to be some new things that you just couldn't do before. And those are going to be the amazing experiences, so teleporting to any place, right, whether it's a real place or, um, something that people made. Um, and I mean, some of the experiences around how we can build stuff in new ways where, you know, a lot of the stuff that, you know, when I'm coding stuff, it's a cart, you code it and then you build it and then you see it afterwards. But increasingly, it's going to be possible to, you know, you're in a world and you're building the world as you are in it and, and kind of manipulating it.
You know, one of the things that we showed at our inside the lab, um, for recent artificial intelligence progress is this builder bot program where now you are, you can just talk to it and say, Hey, okay, I'm in this world.. I like put, put some trees over there and it'll do that and like, all right, put, put some bottles of water on, um, you know, on, on our, our picnic blanket and it'll do that and you're in the world. And it's, I think there are going to be new paradigms for coding.
So yeah, there, there are going to be some things that I think are just pretty amazing, especially the first few times that you do them that you're like, whoa, like I've never had an experience like this. But most of your life, I would imagine is not doing things that are amazing for the first time.
A lot of this in terms of, I mean, just answering your question from before around what is it going to take before you're spending most of your time in this? Well, first of all, let me just say it as an aside, the goal isn't to have people spend a lot more time in computing. I'm asking you to make it yourself. Yeah, it's going to be a lot of time. So I spend all my time in the system. Yeah, it's to make computing more, more natural, but it is.
But I think it'll, you will, you will spend more, most of your computing time in this when it does the things that you use computing for somewhat better. So you know, maybe having your perfect workstation is a 5% improvement on your coding productivity, it maybe it's not like a, you know, completely new, new thing. But I mean, look, if I could increase the productivity of every engineer in meta by 5%, you know, we'd buy those devices for everyone. And I imagine a lot of other companies would too. And that's how you start getting to the scale that I think makes this rival some of the bigger computing platforms that exist today.
Let me ask you about identity. We talked about the avatar. How do you see identity in the metaverse? Should the avatar be tied to your identity or can I be anything in the metaverse? Like can I, be whatever the heck I want? Can I even be a troll? So there's, there's a, there's a exciting, freeing possibilities and there's the darker possibilities too.
Yeah, I mean, I think that there's going to be a range, right? So we're working on, for expression and avatars, on one end of the spectrum are kind of expressive and cartoonish avatars. And then on the other end of the spectrum are photo realistic avatars. And I just think the reality is that there are going to be different use cases for different things. And I guess there's another axis.
So if you're going from photo realistic to expressive, there's also like representing you directly versus like some fantasy identity. And I think that there are going to be things on, on all ends of that spectrum too, right? So you'll want photo like in some experience, you might want to be like a photo realistic dragon, right, or, or, you know, if I'm playing onward or just this military simulator game, you know, it's, you know, I think getting to be more photo realistic as a soldier in that could enhance the experience.
There are times when I'm hanging out with friends where I want them to, you know, know it's me. So kind of cartoon or, or, or expressive version of me is good. But there are also experiences like, you know, VR chat does this well today where a lot of the experience is kind of dressing up and wearing a fantastical avatar that's almost like a meme or is humorous. So you, you come into an experience and it's almost like you have like a built-in icebreaker because like you, you see people and you're just like, all right, I, I, like I'm cracking up at what you're wearing because that's funny. And it's just like, where'd you get that? Or oh, you made that? That's, you know, it's, it's awesome.
Whereas, you know, okay, if, if you're going into a, into a work meeting, maybe a photo realistic version of your real self is, is going to be the most appropriate thing for that. So I think the reality is there aren't going to be, there is, it's not just going to be one thing.
You know, my, my own sense of kind of how you want to express identity online has sort of evolved over time in that, you know, early days in Facebook, I thought, okay, people are going to have one identity. And now I think that's clearly not going to be the case. I think you're going to have all these different things and, and there's utility and being able to do different things.
So some of the technical challenges that I'm really interested in around it are, how do you build the software to allow people to seamlessly go between them? So say, so you could view them as just completely discrete points on a spectrum. But let's, let's talk about the metaverse economy for a second.
Let's say I buy a digital shirt for my photo realistic avatar, which by the way, I think at the time where we're spending a lot of time in the metaverse doing a lot of our work meetings in the metaverse and et cetera, I would imagine that the economy around virtual clothing as an example is going to be quite as big.
Well, I wouldn't I spend almost as much money in investing in my, my appearance or expression for my photo realistic avatar for meetings as I would for the whatever I'm going to wear in my video chat.
But the question is, okay, so you, let's see, buy some shirt for your photo realistic avatar, wouldn't it be cool if there was a way to basically translate that into a more expressive thing for your kind of cartoonish or expressive avatar?
And there are multiple ways to do that. You can view them as two discrete points and, okay, maybe, you know, if a designer sells one thing, then it actually comes in a pack and there's two and you can use either one on that.
But I actually think the stuff might exist more as a spectrum in the future. And that's what I do think the direction on some of the AI advances that is happening to be able to, especially stuff around like style transfer, being able to take, you know, a piece of art or express something and say, okay, paint me, you know, this photo in the style of go-gett or, you know, whoever it is that you're interested in, you know, take this shirt and put it in the style of what I've designed for my expressive avatar.
I'm not going to be pretty compelling. And so the fashion, you might be buying like a generator or like a closet that generates a style and then like with the gowns, they'll be able to infinitely generate outfits there by making it.
So the reason I wear the same thing all the time is it's like choice you've talked about, you've talked about the same thing. But now you don't even have to choose your closet generates your outfit for you every time.
And so you have to live without the generates. I mean, you could do that, although I think that that's, I think some people will, but I think like, I think there's going to be a huge aspect of just people doing creative commerce here.
So I think that there is going to be a big market around people designing digital clothing. But the question is, if you're designing digital clothing, do you need to design, if you're the designer, do you need to make it for each kind of specific discrete point along a spectrum or you just designing it for kind of a photo realistic case or an expressive case or can you design one and have it translate across these things?
If I buy a style from a designer who I care about and now I'm a dragon, is there a way to morph that so it goes on the dragon in a way that makes sense. And that I think is an interesting AI problem because you're probably not going to make it so that designers have to go design for all those things.
But the more useful the digital content is that you buy in a lot of uses and a lot of use cases, the more that economy will just explode. I mean, that's a lot of what all of the, you know, we were joking about NFTs before, but I think a lot of the promise here is that if the digital goods that you buy are not just tied to one platform or one use case, they end up being more valuable, which means that people are more willing and more likely to invest in them and that just spurs the whole economy.
But the question is, that's a fascinating positive aspect, but the potential negative aspect is that you can have people concealing their identity in order to troll or even not people, bots.
So how do you know in the metaverse that you're talking to a real human or an AI or a well intentioned human? Is that something you think about, something you're concerned about?
Well, let's break that down into a few different cases. I mean, because knowing that you're talking to someone who has good intentions is something that I think is not even solved in pretty much anywhere.
But I mean, if you're talking to someone who's a dragon, I think it's pretty clear that they're not representing themselves as a person.
但我的意思是,如果你在和一只龙说话,我想很明显地,他们不是代表自己作为一个人。
I think probably the most pernicious thing that you want to solve for is, I think probably one of the scariest ones is, how do you make sure that someone isn't impersonating you?
我认为,您最想解决的可能是最有害的问题之一,我认为最可怕的问题之一是,如何确保没有人在冒充您?
Right. So you like, okay, you're in a future version of this conversation. And we have photo realistic avatars and we're doing this in work rooms or whatever the future version of that is. And someone walks in who looks like me.
How do you know that that's me? And one of the things that we're thinking about is, you know, it's this, it's still a pretty big AI project to be able to generate photo realistic avatars that basically can like, they work like these codecs of you.
Right. So you kind of have a map from your, your headset, whatever sensors, what your body's actually doing and it takes the model and it kind of displays it in VR.
But there's a question which is, should there be some sort of biometric security so that like when I put on my VR headset or I'm going to, you know, go use that avatar, I need to first prove that I am that.. And I think you probably are going to want something like that.
So, so that's, you know, as we're developing these technologies, we're also thinking about the security for things like that because, you know, people aren't going to want to be impersonated. That's a, that's a huge security issue. Um, then you just get the question of people hiding behind fake accounts to do malicious things, which is not going to be unique to the metaverse, although, you know, certainly in a environment where it's more immersive and you have more of a sense of presence, it could be more painful, more painful, but this is obviously something that we've just dealt with for years in social media and the internet more broadly.
And there, I think, um, there have been a bunch of tactics that, that I think, um, we've just evolved to, you know, we've built up these different AI systems to basically get a sense of, is this account behaving in the way that a person would?
嗯,我认为有许多策略,我们已经发展出了不同的AI系统来获得一个人是否在使用这个账户的感觉。
And it turns out, you know, so in all of the work that we've done, um, around, you know, we call it community integrity and it's basically like policing harmful content and trying to figure out where to draw the line. And there are all these like really hard and philosophical questions around like, where do you draw the line on some of this stuff?
And the thing that I, I've kind of found the most effective is as much as possible trying to figure out who are the inauthentic accounts or where the accounts that are behaving in an overall harmful way at the account level, rather than trying to get into like policing what they're saying, right, which I think the metaverse is going to be even harder, um, because that, the metaverse, I think, will have more properties of, um, it's almost more like a phone call, right, or like, or you're, you know, it's, it's not like I post a piece of content and is that piece of content good or bad.
Um, so I think more of this stuff will have to be done at the level of, um, of the account. But this is the area where, you know, between the, the kind of, um, you know, counterintelligence teams that we built up inside the company and like years of building, um, just different AI systems to basically detect what is a real account and what is and I'm not saying we're perfect. But like, this is an area where I just think we are like years ahead of basically anyone else in the, in the industry in terms of having, um, uh, built those capabilities.
And I think that that just is going to be incredibly important for this next wave of things. And like you said, on the technical level on a philosophical level, it's an incredibly difficult problem to solve.
Uh, by the way, I would probably like to open source my avatar so that it could be like millions of Lex's walking on just like an army like Agent Smith. Agent Smith, yeah, exactly.
Uh, so the, uh, the unity ML folks built a copy of me and they sent it to me. So there's a, there's a person running around and I just been doing reinforcement learning on it. And I'm gonna release it now because, you know, just to have sort of like thousands of Lex's doing reinforcement learning. So they fall over naturally. They have to learn how to like walk around and stuff.
啊,那个 Unity ML 的人们复制了一个我给我。现在就有一个人在我周围跑来跑去,我一直在对它进行增强学习。而且我现在要发布它,因为想要让数千个像我这样的人进行增强学习,看看他们自然地摔倒,然后学会如何走路等等。
So I love that idea of this tension between biometric security. You want to have one identity, but then certain avatars you might have to have many. Um, I don't know which is better security sort of, uh, flooding the world with Lex's and thereby achieving security or really being protected over your identity.
I had to ask a security question actually. Well, how does flooding the world with Lex's help me know in our conversation that I'm talking to the real Lex? I completely destroy the trust in all my relationships then, right? If I flood, because then it's, yeah, that, um, I think that one's not going to work that well for you. It's not going to work that for the original.
Well, it probably fits some things like if you're a public figure and you're trying to have, you know, a bunch of, if you're trying to show up in a bunch of different places in the future, you'll be able to do that in the metaverse. Um, so that kind of replication, I think will be useful. But I, I do think you're going to want a notion of like, I am talking to the real one. Yeah.
Yeah, especially if the fake ones start out performing you in all your private relationships and then you're left behind, I mean, that's, that's a serious concern I have with clones. Again, the things I think about.
Okay. So I recently got, uh, I use QNAP NAS storage. So just storage for, for video stuff and I recently got hacked. It's the first time for me with a, with ransomware. It's not me personally. It's all QNAP devices.
Uh, so the question that people have about is about security in general, um, because I was doing a lot of the right things in terms of security and nevertheless ransomware basically disabled my device.. Yeah. Is that something you think about? What are, where the different steps you could take to protect people's data on the security front?
I think that there's different solutions for, in strategies where it makes sense to have stuff kind of put behind a fortress, right? So the centralized model versus, um, decentralizing. Then I think both have strengths and weaknesses. So I think anyone who says, okay, just decentralize everything that'll make it more secure.
I, I think that that's tough because, you know, I mean, the, the advantage of something like, you know, encryption is that, you know, we run the largest encrypted service in the world with WhatsApp. And you know, one of the first to roll out a multi-platform encryption, um, service and, and that's, you know, something that, I think it was a big advance for the industry.
And one of the promises that we can basically make because of that, our company doesn't see, um, when you're sending an encrypted message, um, and to an encrypted message, what the content is of what you're, what you're sharing. So that way if someone hacks meta servers, um, they're not going to be able to access, you know, the WhatsApp message that, you know, you're sending to your friend. And that I think matters a lot to people because, um, obviously if someone is able to compromise a company's servers and that company has hundreds of millions or billions of people, then that's, that ends up being a very big deal.
The flip side of that is, okay, all the content is on your phone. Um, you know, are you following security best practices on your phone? If you lose your phone, all your content is gone. So that's an issue. You know, maybe you go back up your content from WhatsApp or, or some other service in, in an iCloud or something, but then you're just at Apple's whims about are they going to go turn over the government, the data to, you know, some government door or are they going to get hacked?
So a lot of the time it is useful to have data in a centralized place too because then you can train systems that, um, they can just do much better personalization. I think that in a lot of cases, um, you know, centralized systems can, can offer, you know, especially if you're, if you're a, you know, serious company, you're, you're running the state of the art stuff and, um, and you have red teams attacking your, your own stuff and, um, and you're, you're putting out bounty programs and trying to attract some of the best hackers in the world to go break into your stuff all the time.
So any system is going to have security issues, but, um, but I think the best way forward is to basically try to be as aggressive and open about hardening the systems as possible, not trying to kind of hide and pretend that there aren't going to be issues, which I think is over time why, um, a lot of open source systems have gotten relatively more secure as because they're, they're open and, you know, it's not rather than pretending that there aren't going to be issues, just people surface them quicker. So I think you want to adopt that approach as a company and, and just constantly be hardening your, yourself trying to stay once that behead of the attackers. It's an, it's an inherently adversarial space.
Yeah. Right. I think it's an interesting security is interesting because of the different kind of threats that we've managed over the last five years. There are ones, um, we're basically adversaries keep on getting better and better. So trying to kind of interfere with, um, you know, security is certainly one area of this. If you have like nation states that are trying to, you know, interfere in elections or something, like they're kind of evolving their tactics, whereas on the other hand, I don't want to be too, too simplistic about it. But like if, um, you know, if someone is saying something hateful, people usually aren't getting smarter and smarter about how they say hateful things, right?
So, um, maybe there's some element of that, but it's a very small dynamic compared to, um, you know, how advanced attackers and, and some of these other places get over time. I believe most people are good. So they actually get better over time and not being less hateful because they realize it's not fun being hateful. That's at least the belief I have.
But first, bathroom break, sure. Okay. So we'll come back to AI, but let me ask some difficult questions now. Social dilemma is a popular documentary that raised concerns about the effects of social media on society. You responded with a point by a point of rebuttal titled, what the social dilemma gets wrong. People should read that.
I would say the key point they make is because social media is funded by ads, algorithms want to maximize attention and engagement and an effective way to do so is to get people angry at each other, increase division and so on.
Can you steal man their criticisms and arguments that they make in the documentary as a way to understand the concern and as a way to respond to it? Well, yeah, I think that's a good conversation to have.
I don't happen to agree with the conclusions and I think that they make a few assumptions that are just very big jumps that I don't think are reasonable to make. But I understand overall why people would be concerned that our business model and ads in general, we do make more money as people use the service more in general.
So as a kind of basic assumption, do we have an incentive for people to build a service that people use more? Yes, on a lot of levels.
作为一种基本假设,我们有动机让人们构建更多人们使用的服务吗?是的,在许多层面上都是这样的。
I mean, we think what we're doing is good. We think that if people are finding it useful, they'll use it more. Or if you just look at it as this sort of, if the only thing we cared about is money, which is not for anyone who knows me, but okay, we're a company. So let's say you just kind of simplify it down to that.
Then would we want people to use the services more? Yes.
那么我们希望人们更多地使用这些服务吗?是的。
But then you get to the second question, which is, does kind of getting people agitated make them more likely to use the services more? And I think from looking at other media in the world, especially TV and there's the old news adage if it bleeds it leads.
I think that there are a bunch of reasons why someone might think that that kind of provocative content would be the most engaging. Now what I've always found is two things.
我认为会有很多原因导致某些人认为这种挑衅的内容会最吸引人。我一直发现有两点。
One is that we'll grab someone's attention in the near term is not necessarily something that they're going to appreciate having seen or going to be the best over the long term.
有一种情况是,虽然我们很快就能吸引某人的注意,但这并不一定是他们想要看到或长期最好的选择。
So I think what a lot of people get wrong is that I'm not building this company to make the most money or get people to spend the most time on this in the next quarter or the next year. Right? I've been doing this for 17 years at this point and I'm still relatively young and have a lot more that I want to do over the coming decades.
So I think that it's too simplistic to say, hey, this might increase time in the near term. Therefore, it's what you're going to do because I actually think a deeper look at it, kind of what my incentives are.
The incentives of a company that are focused on the long term is to basically do what people are going to find valuable over time. Not what is going to draw people's attention today. The other thing that I'd say is that I think a lot of times people look at this from the perspective of media or kind of information or civic discourse.
But one other way of looking at this is just that, okay, I'm a product designer, right? Our company, we build products. And a big part of building a product is not just the function and utility of what you're delivering, but the feeling of how it feels.
We spend a lot of time talking about virtual reality and how the key aspect of that experiences, the feeling of presence, which is a visceral thing. It's not just about the utility that you're delivering. It's about the sensation. And similarly, I care a lot about how people feel when they use our products.
And I don't want to build products that make people angry. I mean, that's not, I think, what we're here on this earth to do is to build something that people spend a bunch of time doing and it just kind of makes them angry at other people.
I mean, that's not good. That's not what I think would be sort of a good use of our time or a good contribution to the world. So, okay, it's like people, they tell us on a per-content basis, does this thing, do I like it, do I love it, does it make me angry, does it make me sad?
And based on that, we choose to basically show content that makes people angry less. Because of course, if you're designing a product and you want people to be able to connect and feel good over a long period of time, then that's naturally what you're going to do.
So I don't know, I think overall, I understand at a high level, if you're not thinking too deeply about it, why that argument might be appealing. But I just think if you actually look at what our real incentives are, not just like, if we were trying to optimize for the next week, but like, as people working on this, like, why are we here? And I think it's pretty clear that that's not actually how you would want to design the system.
I guess one other thing that I'd say is that, while we're focused on the ads business model, I do think it's important to note that a lot of these issues are not unique to ads.
So take like a subscription news business model, for example, I think that has just as many potential pitfalls. Maybe if someone's paying for a subscription, you don't get paid per piece of content that they look at.
But say, for example, I think like a bunch of the partisanship that we see could potentially be made worse by you have these kind of partisan news organizations that basically sell subscriptions, and they're only going to get people on one side to basically subscribe to them. So their incentive is not to print content or produce content that's kind of centrist or down the line either.
I bet that what a lot of them find is that if they produce stuff that's kind of more polarizing or more partisan, then that is what gets the more subscribers. So I think that this stuff is all, there's no perfect business model. Everything has pitfalls.
The thing that I think is great about advertising is it makes it the consumer services free, which if you believe that everyone should have a voice and everyone should be able to connect, then that's a great thing. It was opposed to building a luxury service that not everyone can afford. But look, every business model, you have to be careful about how you're implementing what you're doing.
You responded to a few things there. You spoke to the fact that there is a narrative of malevolence. You're leaning into them, making people angry just because it makes more money in the short term, that kind of thing. So you responded to that. But there's also a kind of reality of human nature, just like you spoke about.
There is fights, arguments we get in, and we don't like ourselves afterwards, but we got into them anyway. So our long term growth is, I believe for most of us, has to do with learning, challenging yourself, improving, being kind to each other, finding a community of people that you can connect with on a real human level, all that kind of stuff.
But it does seem when you look at social media that a lot of fights break out, a lot of arguments break out, a lot of viral content ends up being sort of outrage in one direction or the other. And so it's easy from that to infer the narrative that social media companies are letting this outrage become viral. And so they're increasing the division in the world.
I mean, perhaps you can comment on that or further, how can you be, how can you push back on this narrative? How can you be transparent about this battle? Because I think it's not just motivation or financials. It's a technical problem too, which is how do you improve long term well-being of human beings? I think that going through some of the design decisions would be a good conversation.
But first, I actually think, you acknowledge that that narrative is somewhat anecdotal. And I think it's worth grounding this conversation in the actual research that has been done on this, which by and large, finds that social media is not a large driver of polarization.
And there's been a number of economists and social scientists and folks who have studied this. And a lot of polarization and various around the world, social media is basically in every country, Facebook is in pretty much every country except for China and maybe North Korea. And you see different trends in different places where in a lot of countries, polarization is declining in some it's flat. And the US, it's risen sharply. So the question is, what are the unique phenomenon in the different places?
And I think for the people who are trying to say, hey, social media is the thing that's doing this, I think that that clearly doesn't hold up because social media is a phenomenon that is pretty much equivalent in all of these different countries. And you have researchers like this economist at Stanford, Matthew Genskow, who's just written at length about this. And it's a bunch of books by political scientists that as reclined in folks, why we're polarized, basically goes through this decades-long analysis in the US before I was born, basically talking about some of the forces and partisan politics and Fox News and different things that predate the internet in a lot of ways that I think are likely larger contributors.
So to the contrary on this, not only is it pretty clear that social media is not a major contributor, but most of the academic studies that I've seen actually show that social media use is correlated with lower polarization. Genskow, the same person who just did the study that I cited about longitudinal polarization across different countries, also did a study that basically showed that if you looked after the 2016 election in the US, the voters who are the most polarized were actually the ones who were not on the internet.
So in there have been recent other studies, I think in Europe and around the world, basically showing that as people stop using social media, they tend to get more polarized. Then there's a deeper analysis around, okay, well, polarization actually isn't even one thing because having different opinions on something isn't, I don't think that that's by itself bad.
What people who study this say is most problematic is what they call affective polarization, which is basically, are you, do you have negative feelings towards people of another group? The way that a lot of scholars study this is they basically ask a group, would you let your kids marry someone of group X? Whatever the groups are that you're worried that someone might have negative feelings towards..
In general, use of social media has corresponded to decreases in that kind of affective polarization. So I just want to, I think we should talk to the design decisions and how we handle the kind of specific pieces of content, but overall, I think it's just worth grounding that discussion in the research that's existed that I think overwhelmingly shows that the mainstream narrative around this is just not right. But the narrative does take hold and it's compelling to a lot of people.
There's another question I'd like to ask you on this. I was looking at various polls and saw that you're one of the most dislike tech leaders today. 54% unfavorable rating. Elon Musk is 23%. It's basically everybody has a very high unfavorable rating that are tech leaders. Maybe you can help me understand that. Why do you think so many people dislike you, some even hate you, and how do you regain their trust and support?
Given everything you just said, why are you losing the battle in explaining to people what actual impact social media has on society?
“考虑到你刚刚说的一切,为什么你在向人们解释社交媒体对社会的实际影响时打败了?”
Well, I'm curious if that's a US survey or world. It is US. I think that there's a few dynamics. Our brand has been somewhat uniquely challenged in the US compared to other places. It's not that there are. Other countries we have issues too. But I think in the US there was this dynamic where if you look at the net sentiment of coverage or attitude towards us.
Before 2016, I think that there were probably very few months if any where it was negative. Since 2016, I think there have been very few months if any, then it's been positive. Politics. But I think it's a specific thing. This is very different from other places. I think in a lot of other countries in the world, the sentiment towards meta and our services is extremely positive. In the US we have more challenges.
I think compared to other companies, you can look at certain industries, if you look at it from a partisan perspective. Not from a political perspective, but just culturally. It's like there are people who are probably more left of center and there are people who are more right of center and there's kind of blue America and red America. There are certain industries that I think maybe one half of the country has a more positive view towards than another.
I think we are in a one of the positions that we're in that I think is really challenging is that because of a lot of the content decisions that we've basically had to arbitrate, and because we're not a partisan company, we're not a Democrat company or a Republican company. We're trying to make the best decisions we can to help people connect and help people have as much voices they can while having some rules because we're running a community.
The net effect of that is that we're constantly making decisions that piss off people in both camps. The effect that I've seen is that when we make a decision that is a controversial one that's going to upset, say, about half the country, those decisions are all negative some from a brand perspective.
Because it's not like if we make that decision in one way and say half the country is happy about that particular decision that we make, they tend to not say, oh, sweet, meta got that one right. They're just like, I didn't miss that one up, right? But their opinion doesn't tend to go up by that much. Whereas the people who kind of are on the other side of it, God, how could you mess that up? Like, how could you possibly think that that piece of content is okay and should be up and should not be censored?
So I think whereas if you leave it up, or if you take it down, the people who thought that should be taken down, or it's like, all right, fine, great, you didn't miss that one up. So our internal assessment of analytics on our brand are basically any time one of these big controversial things comes up in society, our brand goes down with half of the country. And then if you just extrapolate that out, it's just been very challenging for us to try to navigate what is a polarizing country in a principled way, where we're not trying to kind of huge a one side or the other, we're trying to do what we think is the right thing.
But that's what I think is the right thing for us to do though. So I mean, that's what we'll try to keep doing.
不过,我认为那就是我们应该做的正确事情。所以我的意思是,我们会继续尝试这样做。
Just as a human being, how does it feel though when you're giving so much of your day-to-day life to try to heal division, to try to do good in the world as we've talked about that so many people in the US, the place you call home, have a negative view of you as a leader, as a human being, and the company you love.
Well, I mean, it's not great. But I mean, look, if I wanted people to think positively about me as a person, I don't know. I'm not sure if you could build a company. I mean, it's like, like, or social media companies. I mean, it's just something. I just think it's just something difficult to do with a social media.
Yeah. And I don't know, there is a dynamic where a lot of the other people running these companies, internet companies, have sort of stepped back. And they just do things that are sort of, I don't know, less controversial. And some of it may be that they just get tired over time. But it's... I think that running a company is hard. Building something at scale is hard. You only really do it for a long period of time if you really care about what you're doing.
And, yeah, so I mean, it's not great. But look, I think that at some level, whether 25% of people dislike you or 75% of people dislike you, your experience as a public figure is going to be that there's a lot of people who dislike you. Right? So, yeah. So I actually am not sure how different it is. You know, certainly, the country's gotten more polarized and we in particular have gotten more controversial over the last five or years or so. But I don't know. I kind of think like as a public figure and leader of one of these enterprises comes to the job.
Part of what you do is like, and look, the answer can't just be ignored, right? Because like a huge part of the job is like you need to be getting feedback and internalizing feedback on how you can do better. But I think increasing what you need to do is be able to figure out, you know, who are the kind of good faith critics who are criticizing you because they're trying to help you do a better job rather than tear you down. And those are the people I just think you have to cherish and like and listen very closely to the things that they're saying because, you know, I think it's just as dangerous to now everyone who says anything negative and just listen to the people who are kind of positive and support you, you know, as it would be psychologically to pay attention trying to make people who are never going to like you like you. So I think that's just kind of a dance that people have to do.
But I mean, I, you know, you kind of develop more of a feel for like who actually is trying to accomplish the same types of things in the world and who has different ideas about how to do that and how can I learn from those people? And like, yeah, we get stuff wrong. And when the people whose opinions I respect call me out on getting stuff wrong, that hurts and makes me want to do better. But I think at this point, I'm pretty tuned to just, all right, if someone, if I know they're, they're kind of like operating in bad faith and they're not really trying to help, then, you know, I don't know. It's not, it doesn't, you know, I think over time, it just doesn't bother you that much.
But you are surrounded by people that believe in the mission that love you. Are there friends or colleagues in your inner circle you trust that call you out on your bullshit whenever you're thinking maybe misguided it as it is for leaders at times?
I think we have a famously open company culture where we sort of encourage that kind of descent internally, which is, you know, why there's so much material internally that can leak out with people sort of disagreeing is because that's sort of the culture. You know, our management team, I think it's a lot of people, you know, there's some newer folks who come in, there's some folks who have kind of been there for a while, but there's a very high level of trust. And I would say it is a relatively confrontational group of people.
And my friends and family, I think, will push me on this, but look, but I think it's not just, but I think you need some diversity, right? It can't just be, you know, people who are your friends and family. It's also, you know, I mean, there are journalists or analysts or, you know, peer executives at other companies or, you know, other people who sort of are insightful about thinking about the world, you know, certain politicians or people kind of in that sphere who I just think have like very insightful perspectives who, even if they would, they come at the world from a different perspective, which is sort of what makes the perspective so valuable.
But, you know, I think fundamentally, you're trying to get to the same place in terms of, you know, helping people connect more, helping the whole world function better, not just, you know, one place or another. And I don't know, I mean, those are the people whose opinions really matter to me. And I just, it's, you know, that's how I learn on a day-to-day basis.
People are constantly sending me comments on stuff for links to things they found interesting and, and I don't know, it's, it's kind of constantly evolving this model of the world and, and kind of what we should be aspiring to be.
You've talked about, you have a famously open culture, which comes with the criticism and the painful experiences. So let me ask you another difficult question.
你们谈到了你们有着出名的开放文化,这也伴随着批评和痛苦的经历。让我问你们另一个难题。
Francis Hagen, the Facebook whistleblower, leaked the internal Instagram research into teenagers and well-being. Our claim is that Instagram is choosing profit over well-being of teenage girls.
So Instagram is quote, toxic for them. Your response titled, what are research really says about teen well-being? And Instagram says, no, Instagram research shows that 11 of 12 well-being issues teenage girls who said they struggle with those difficult issues also said that Instagram made them better rather than worse.
Again, can you steal man and defend the point and Francis Hagen's characterization of the study and then help me understand the positive and negative effects of Instagram and Facebook on young people?
So there are certainly questions around teen mental health that are really important. It's hard to, you know, as a parent, it's like hard to imagine any set of questions that are sort of more important, I guess, maybe other aspects of physical health or, or well-being are probably come to that level. But like, these are really important questions, right, which is why we dedicate teams to studying them.
You know, I don't think the internet or social media are unique in having these questions. I mean, I think people, and there have been sort of magazines with promoting certain body types for women and kids for decades. But, you know, we really care about this stuff. So we wanted to study it. And of course, you know, we didn't expect that everything was going to be positive all the time.
So I mean, the reason why you study this stuff is to try to improve and get better. So I mean, look, the place where I disagree with the characterization first, I thought, you know, some of the reporting and coverage of it just took the whole thing out of proportion and that it focused on, as you said, I think there were like 20 metrics in there. And on, you know, 18 or 19, the effect of using Instagram was neutral or positive on the teens well-being and there was one area where I think it showed that we needed to improve and we took some steps to try to do that after doing the research.
But I think having the coverage just focused on that one without focusing on the, you know, I think an accurate characterization would have been that kids using Instagram or not kids teens is generally positive for their mental health. But of course, that was not the narrative that came out. So I think it's hard to, that's not a kind of logical thing to strom in.
But I sort of disagree or, or, or steel man, but I sort of disagree with that overall characterization. I think anyone sort of looking at this objectively would.
But then, you know, I mean, the, there is this sort of intent critique that I think you were getting at before, which, which says, you know, it assumes some sort of malevolence, right? It's like, which it's, it's really hard for me to really wrap my head around this because as far as I know, it's not clear that any of the other tech companies are doing this kind of research.
So why the narrative should form that we did research, you know, because we were studying an issue because we wanted to understand it to improve and took steps after that to try to improve it, that your interpretation of that would be that, that we did the research and tried to sweep it under the rug. It just, it's sort of is like, I don't know, it's beyond credibility to me that like, that's the accurate description of the actions that we've taken compared to the others in the industry.
So, I know that's, that's, that's, that's my view on it. These are really important issues and there's a lot of stuff that I think we're going to be working on related to teen mental health for a long time, including trying to understand this better. And I would encourage everyone else in the industry to do this too.
Yeah, I would love there to be open conversations and a lot of great research being released internally and then also externally. It doesn't make me feel good to see press obviously get way more clicks when they see negative things about social media.
Let's objectively speaking, I can just tell that there's hunger to say negative things about social media. And I don't understand how that's supposed to lead to an open conversation about the positives and the negatives, the concerns about social media, especially when you're doing those kind, that kind of research.
说实话,我觉得人们都很渴望说 social media 的负面事情,这是客观的事实。但我不明白这样做有什么好处,因为这不利于打开正面和负面的对话,也不利于对 social media 的问题进行深入研究。
I mean, I don't know what to do with that, but let me ask you as a father, there's a way heavy on you that people get bullied on social networks. So people get bullied in their private life. But now because so much of our life is in the digital world, the bullying moves from the physical world to the digital world.
So you're now creating a platform on which bullying happens and some of that bullying can lead to damage to mental health and some of that bullying can lead to depression, even suicide. There's a way heavy on you that people have committed suicide or will commit suicide based on the bullying that happens on social media.
Yeah, I mean, this is a, there's a set of harms that we basically track and build systems to fight against and bullying and in a self-harm are, you know, I mean, these are, these are some of the biggest things that we, that we are most focused on. For bullying, like you say, it's going to be, while this predates the internet, that it's probably impossible to get rid of all of it, you want to give people tools to fight it and you want to fight it yourself.
And you also want to make sure that people have the tools to get help when they need it. So I think it, this isn't like a question of, you know, can you get rid of all bullying? I mean, it's like, all right. I mean, I have two daughters and, you know, they, they fight and, you know, push each other around and stuff too. And the question is just how do you, how do you handle that situation?
And there's a handful of things that I think you can, you can do. And we talked a little bit before around some of the AI tools that you can build to identify when something harmful is, is happening. It's actually, it's very hard in bullying because a lot of bullying is very context specific. It's not like you're trying to fit a formula of like, you know, if, if, if, if like, looking at the different harms, you know, someone promoting a terrorist group is like, probably one of the simpler things to generally find because things promoting that group are going to, you know, look at a certain way or feel a certain way.
Bullying could just be, you know, someone making some subtle comment about someone's appearance that's idiosyncratic to them. And it could look at just like humor. So humor to one person. Exactly. Exactly. Yeah.
So with bullying, I think there are, there are certain things that you can find through AI systems. But I think it is increasingly important to just give people more agency themselves. So we've done things like making it so people can turn off comments or, you know, take a break from, you know, hearing from a specific person without having to signal at all that they're going to stop following them or, or, or kind of make some, some stand that, okay, I'm not friends with you anymore. I'm not following you. I just like, I just don't want to hear about this, but I also don't want to signal at all publicly that, or to them that, that there's been an issue.
And then you get to some of the more extreme cases like you're talking about where someone is thinking about, you know, self harm or suicide. And in there, we found that that is a place where AI can, can identify a lot as, as well as people flagging things, you know, if people are expressing something that is, is, you know, potentially, they're thinking of hurting themselves. Those are cues that you can build systems and, you know, hundreds of languages around the world to be able to identify that.
And one of the things that I'm actually quite proud of is we've, we've built the systems that I think are clearly leading at this point that not only identify that, but then connect with local first responders and have been able to save, I think, at this point, it's, you know, in thousands of cases, be able to get first responders to people through these systems who really need them because of specific plumbing that we've done between the AI work and being able to communicate with local first responder organizations. And we're rolling that out in more places around the world. And I think the team that worked on that just did awesome stuff.
So I think that that's a long way of saying, yeah, I mean, this is a, this is a heavy topic and there's, you want to attack it in a bunch of different ways. And also kind of understand that some of nature is for people to, to do this to each other, which is unfortunate, but, but you can give people tools and, and build things that help.
It's still one hell of a burden, no. A platform that allows people to fall in love with each other is also by nature going to be a platform that allows people to hurt each other. And when you're managing such a platform, it's difficult.. And I think you spoke to it, but the psychology of that being a leader in that space of creating technology that's playing in the space, like you mentioned, psychology is really damn difficult. And I mean, the burden of that is just, it's just great. I just wanted to hear you speak to that point.
I have to ask about the thing you've brought up a few times, which is making controversial decisions. Let's talk about free speech and censorship. So there are two groups of people, a pressuring meta on this. One group is upset that Facebook, the social network allows misinformation and quotes to be spread on the platform. The other group are concerned that Facebook censors speech by calling it misinformation. So you're getting it from both sides.
You, in 2019, October at Georgetown University eloquently defended the importance of free speech, but then COVID came. And the 2020 election came. Do you worry that outside pressures from advertisers, politicians, the public have forced meta to damage the ideal of free speech that you spoke highly of?
Just to say some obvious things up front. I don't think pressure from advertisers or politicians directly in any way affects how we think about this. I think these are just hard topics. So let me just take you through our evolution from kind of the beginning of the company to where we are now.
You don't build a company like this unless you believe that people expressing themselves is a good thing. Right. So that's sort of the foundational thing. You can kind of think about our company as a formula where we think giving people voice and helping people connect creates opportunity. Right. So those are the two things that we're always focused on are sort of helping people connect. We talked about that a lot, but also giving people voice and ability to express themselves.
And by the way, most of the time when people express themselves, that's not like politically controversial content. It's like expressing something about their identity that's more related to the avatar conversation we had earlier in terms of expressing some facet, but that's what's important to people on a day to day basis. And sometimes when people feel strongly enough about something, it kind of becomes a political topic. That's sort of always been a thing that we've focused on.
There's always been the question of safety in this, which if you're building a community, I think you have to focus on safety. We've had these community standards from early on. And there are about 20 different kinds of harm that we track and try to fight actively. And we've talked about some of them already.
So it includes things like bullying and harassment. It includes things like terrorism or promoting terrorism, inciting violence, intellectual property theft. And in general, I think, called about 18 out of 20 of those, there's not really a particularly polarized definition of that. I think you're not really going to find many people in the country or in the world who are trying to say we should be fighting terrorist content less. I think that the content where there are a couple of areas where I think this has gotten more controversial recently, which I'll talk about.
And you're right that misinformation is basically is up there. And I think sometimes the definition of hate speech is up there too. But I think in general, most of the content that I think we're working on for safety is not actually, you know, people don't kind of have these questions. So it's sort of this subset.
But if you go back to the beginning of the company, this was sort of pre-deep learning days. And therefore, you know, it was me and my roommate Dustin joined me. And like, if someone posted something bad, you know, it was the AI technology did not exist yet to be able to go basically look at all the content. And we were a small enough outfit that no one would expect that we could review it all, even if like someone reported it to us, we basically did our best, right?
It's like someone would report it and we try to look at stuff and deal with stuff. And for call the first, I don't know, seven or eight years of the company, you know, we weren't that big of a company, you know, for a lot of that period, we weren't even really profitable. The AI didn't really exist to be able to do the kind of moderation that we do today. And then at some point, and kind of the middle of the last decade, that started to flip.
And we, you know, we became, it got to the point where we were sort of a larger and more profitable company. And the AI was starting to come online to be able to proactively detect some of the simpler forms of this. So things, things like pornography, you could train an image classifier to, you know, identify what a nipple was or you can fight against terrorist content..
You still put papers on this. It's great. Oh, of course there are. Oh, of course there are. Of course there are. You know, those are relatively easier things to train AI to do than, for example, understand the nuances of what is inciting violence in 100 languages around the world and not have the false positives of like, okay, are you posting about this thing that might be inciting violence because you're actually trying to denounce it.
你还在这上面放纸,很好啊。噢,当然有。当然有。你知道,相对而言,训练 AI 做这些事情相对容易一些,比如说理解全球 100 种语言中什么是煽动暴力的微妙之处,而且不能有假阳性,例如,你发帖讨论煽动暴力的事情,是因为你想谴责它。
In which case, we probably shouldn't take that down. Right, if you're trying to denounce something that's inciting violence in some kind of dialect in a corner of India, as opposed to, okay, actually you're posting this thing because you're trying to incite violence. Okay, get building an AI that can basically get to that level of nuance and all the languages that we serve is something that I think is only really becoming possible now, not towards the middle of the last decade.
But there's been this evolution. And I think what happened, people sort of woke up after 2016 and a lot of people were like, okay, the country is a lot more polarized and there's a lot more stuff here than we realized. Why weren't these internet companies on top of this? And I think at that point, it was reasonable feedback that some of this technology had started becoming possible and at that point, I really did feel like we needed to make a substantially larger investment.
We'd already worked on this stuff a lot on AI and on these integrity problems, but that we should basically invest, you know, have a thousand or more engineers basically work on building these AI systems to be able to go and proactively identify the stuff across all these different areas. Okay, so we went into that. Now we've built the tools to be able to do that.
And now I think it's actually a much more complicated set of philosophical rather than technical questions, which is the exact policy is which are okay. Now the way that we basically hold ourselves accountable, because we use transparency reports every quarter, and the metric that we track is for each of those 20 types of harmful content. How much of that content are we taking down before someone even has to report it to us? So how effective is our AI at doing this?
But that basically creates this big question, which is, okay, now we need to really be careful about how proactive we set the AI and where the exact policy lines are around what we're taking down. It's certainly at a point now where, you know, I felt like at the beginning of that journey of building those AI systems, there's a lot of push.
There's saying, okay, you've got to do more. It's clearly a lot more bad content that people aren't reporting or that you're not getting to, and you need to get more effective at that. And I was pretty sympathetic to that. But then I think at some point along the way, there started to be almost equal issues on both sides of, okay, actually you're kind of taking down too much stuff, right? Or some of the stuff is borderline, and it wasn't really bothering anyone and then report it. So is that really an issue that you need to take down?
There's still the critique on the other side too, where a lot of people think we're not doing enough. So it's become, as we built the technical capacity, I think it becomes more philosophically interesting, almost where you want to be on the line. And I just think like you don't want one person making those decisions.
So we've also tried to innovate in terms of building out this independent oversight board, which has people who are dedicated to free expression, but from around the world, who people can appeal cases to. So a lot of the most controversial cases basically go to them and they make the final binding decision on how we should handle that.
And then of course, their decisions, we then try to figure out what the principles are behind those and encode them into the algorithms. And how are those people chosen, which you're outsourcing a difficult decision? Yeah, the initial people, we chose a handful of chairs for the group. And we basically chose the people for a commitment to free expression and like a broad understanding of human rights and the trade-offs around free expression. But fundamentally people who are going to lean towards free expression. To towards freedom of speech. Yeah.
So there's also this idea of fact checkers, so jumping around to the misinformation questions actually during COVID, which is an exceptionally speaking of pluralization. Yes, I've gotten to, can I speak to the COVID thing? Yes.
So one of the hardest set of questions around free expression, because you asked about Georgetown is my stance fundamentally changed. And the answer to that is no, my stance has not changed. It is fundamentally the same as when I was talking about Georgetown from a philosophical perspective.
The challenge with free speech is that everyone agrees that there is a line where if you're actually about to do physical harm to people that there should be restrictions. I mean, there's the famous Supreme Court historical example of like you can't yell, fire, and a crowded theater.
The thing that everyone agrees on is what is the definition of real harm? Where I think some people think, okay, this should only be a very literal, I mean, take it back to the bullying conversation we were just having. There is a just harm if the person is about to hurt themselves because they've been bullied so hard, or is it actually harm, like as they're being bullied?
And kind of at what point in the spectrum is that, and that's the part that there's not agreement on. But I think what people agree on pretty broadly is that when there is an acute threat, that it does make sense from a societal perspective to tolerate less speech that could be potentially harmful in that acute situation.
So I think where COVID got very difficult is, I don't think anyone expected this to be going on for years. But if you'd kind of asked the opriory, would a global pandemic where a lot of people are dying and catching this, is that an emergency that where you'd kind of consider it that it's problematic to basically yell, fire, and a crowded theater? I think that that probably passes that test. So I think that's a very tricky situation, but I think the fundamental commitment to free expression is there.
And that's what I believe. And again, I don't think you start this company unless you care about people being able to express themselves as much as possible. But I think that that's the question. Right? How do you define what the harm is and how acute that is? And what are the institutions that define that harm?
A lot of the criticism is that the CDC, the WHO, the institutions we've come to trust as a civilization to give the line of what is and isn't harm in terms of health policy have failed in many ways and small ways and in big ways depending on who you ask. And then the perspective of meta and Facebook is like, well, where the hell do I get the information of what is and isn't misinformation?
So it's a really difficult place to be in, but it's great to hear that you're leaning towards freedom of speech on this aspect. And again, I think this actually calls to the fact that we need to reform institutions that help keep an open mind of what isn't misinformation. And misinformation has been used to bully on the issue.
I mean, I just have friends with Joe Rogan and he's called as a, I remember hanging out with him in Vegas and somebody else stops spreading misinformation. I mean, and there's a lot of people that follow him that believe he's not spreading misinformation. Like you can't just not acknowledge the fact that there's a large number of people that have a different definition of misinformation.
That's such a tough place to be. Like who do you listen to? Do you listen to quote unquote experts who gets, as a person who was a PhD, I gotta say, I mean, I'm not sure I know what defines an expert, especially in a new, in a totally new pandemic or a new catastrophic event, especially when politics is involved and especially when the news are the media involved that can propagate sort of outrageous narratives and thereby make a lot of money. Like what the hell? Where is the source of truth? And then everybody turns to Facebook. It's like, please tell me what the source of truth is.
Well, how would you handle this if you were in my position? Is very, very, very, very difficult. I would say I would more speak about how difficult the choices are and be transparent about like what the hell do you do with this? Like here, you got exactly asked the exact question you just asked me, but to the broader public. Like okay, yeah, you guys tell me what to do. So like crowdsource it.
And then the other aspect is when you spoke really eloquently about the fact that there's this going back and forth and now there's a feeling like you're censoring a little bit too much. And so I would lean, I would try to be ahead of that feeling. I would now lean towards freedom of speech and say, you know, we're not the ones that are going to define misinformation. Let it be a public debate. Let the idea stand.
And I actually place, you know, this idea of misinformation, I place the responsibility on the poor communication skills of scientists. They should be in the battlefield of ideas and everybody who is spreading information against the vaccine, they should not be censored.. They should be talked with and you should show the data. You should have open discussion as opposed to rolling your eyes and saying, I'm the expert. I know what I'm talking about.
No, you need to convince people. It's a battle of ideas. So that's the whole point of freedom of speech. It's the way to defeat bad ideas with good ideas with speech. So like the responsibility here falls on the poor communication skills of scientists.
Thanks to social media scientists are not communicators. They have the power to communicate some of the best stuff I've seen about COVID and from doctors is on social media. It's a way to learn to respond really quickly to go fast for them to peer review process. And so they just need to get way better at that communication. And also by better, I don't mean just convincing. I also mean speak with humility. Don't talk down to people, all those kinds of things.
And as a platform, I would say, I would step back a little bit. Not all the way, of course, because there's a lot of stuff that can cause real harm as we talked about, but you lean more towards freedom of speech because then people from a brand perspective wouldn't be blaming you for the other ills of society, which there are many. The institutions have flaws, the political divide. Obviously politicians have flaws. That's news.
The media has flaws that they're all trying to work with. And because of the central place of Facebook in the world, all of those flaws somehow kind of propagate to Facebook. And you're sitting there as Plato, the philosopher, have to answer to some of the most difficult questions being asked of human civilization. So I don't know. Maybe this is an American answer, though, to lean towards freedom of speech. I don't know if that applies globally.
So yeah, I don't know. But transparency and saying, I think as a technologist, one of the things I sense about Facebook and matter when people talk about this company is they don't necessarily understand fully how difficult the problem is. You talked about AI has to catch a bunch of harmful stuff really quickly, just the sea of data you have to deal with. It's a really difficult problem. So like any of the critics, if you just hand them the helm for a week, let's see how well you can do. Like that, to me, that's definitely something that would wake people up to how difficult this problem is. If there's more transparency, saying how difficult this problem is.
Let me ask you about an AI front, just because you mentioned language and my in eloquence. Translation is something I wanted to ask you about. And first, just to give a shout out to the supercomputer, you've recently announced the AI research supercluster, RSC. Obviously, I'm somebody who loves the GPUs. It currently has 6,000 GPUs and VDADGX, A100s, is the systems that have in total 6,000 GPUs. And it will eventually, maybe this year, maybe soon, we'll have 16,000 GPUs. So it can do a bunch of different kinds of machine learning applications. There's a cool thing on the distributed storage aspect and all that kind of stuff.
One of the applications that I think is super exciting is translation, real-time translation. I mentioned to you that having a conversation, I speak Russian fluently, I speak English somewhat fluently. And I'm having a conversation with Vladimir Putin, say, as a use case, me, as a user coming to you, the use case. We both speak each other's language. I speak Russian, he speaks English. How can we have that communication go well with the help of AI? I think it's such a beautiful and a powerful application of AI to connect the world that bridge the gap, not necessarily to me and Putin, but people that don't have that shared language.
Can you just speak about your vision with translation? Because I think that's a really exciting application. If you're trying to help people connect all around the world, a lot of content is produced in one language and all these other places are interested in it. So being able to translate that just unlocks a lot of value on a day-to-day basis.
The AI around translation is interesting because it's gone through a bunch of iterations. But the basic state of the art is that you don't want to go through different intermediate symbolic representations of language or something like that. You basically want to be able to map the concepts and basically go directly from one language to another and you just can train bigger and bigger models in order to be able to do that.
That's where the research supercluster comes in. It's basically a lot of the trend in machine learning. It's just you're building bigger and bigger models and you just need a lot of computation to train them. It's not that like the translation would run on the supercomputer, the training of the model which could have billions or trillions of examples of basically that. You're training models on this supercluster in days or weeks that might take a much longer period of time on a smaller cluster. So just wouldn't be practical for most teams to do.
But the translation work, we're basically getting from being able to go between about 100 languages seamlessly today to being able to go to about 300 languages in the near term. From any language to any other language. Part of the issue when you get closer to more languages is some of these get to be pretty not very popular languages where there isn't that much content in them. You end up having less data and you need to use a model that you built up around other examples. This is one of the big questions around AI is how generalizable can things be.
That I think is one of the things that's just exciting here from a technical perspective. But capturing, we talked about this with the metaverse capturing the magic of human to human interaction. So me and Putin, again, this is their research. It's a topic example because you actually both speak Russian and English. But in my future, I see it as a touring test. Of a kind because we would both like to have an AI that improves because I don't speak Russian that well. He doesn't speak English that well. It would be nice to outperform our abilities.
Sure. And that's a really nice part because I think AI can really help in translation for people that don't speak the language at all. But to actually capture the magic of the chemistry through translation, which would make the metaverse super immersive. I mean, that's exciting. You remember the barrier of language period?
Yeah. So when people think about translation, I think a lot of that is, they think about text to text. But speech to speech, I think, is a whole another thing. And I mean, one of the big lessons on that, which I was referring to before, is I think early models, it's like, all right, they take speech, they translate it to text, translate the text to another language, and then kind of output that as speech in that language. And you don't want to do that. You just want to be able to go directly from speech in one language to speech in another language and build up the models to do that.
And I mean, I think one of the, there have been, when you look at the progress in machine learning, there have been big advances in the techniques. If some of the advances in self-supervised learning, which I know you talked to Jan about, and he's like one of the leading thinkers in this area, I just think that that stuff is really exciting. But then you couple that with the ability to just throw larger and larger amounts of compute at training these models, and you can just do a lot of things that were harder to do before.
But we're asking more of our systems too. So, if you think about the applications that we're going to need for the metaverse, or think about it, let's talk about AR here for a second. You're going to have these glasses. They're going to look, hopefully like a normal-ish-looking pair of glasses, but they're going to be able to put holograms in the world and intermix virtual and physical objects in your scene.
And one of the things that's going to be unique about this compared to every other computing device that you've had before is that this is going to be the first computing device that has all the same signals about what's going on around you that you have. Right, so your phone, you can, I mean, you can have it take a photo or a video. But I mean, these glasses are going to, you know, whenever you activate them, they're going to be able to see what you see.
From your perspective, they're going to be able to hear what you hear because they're the microphones and all that are going to be right around where your ears are. So, you're going to want an AI assistant. That's a new kind of AI assistant that can basically help you process the world from this first person perspective or from the perspective that you have.
And the utility of that is going to be huge. And the kinds of AI models that we're going to need are going to be just, I don't know, there's a lot that we're going to need to basically make advances in. But I mean, but that's why I think these concepts of the metaverse and the advances in AI are so fundamentally interlinked that I mean, they're kind of enabling each other.
Yeah, like the world builder is a really cool idea. Like you can be like a Bob Ross. I'm going to put a little tree right here. Yeah. I mean, I need a little tree. And then, but at scale, like enriching your experience in all kinds of ways. You mentioned the assistant too. That's really interesting how you can have AI assistants helping you out on different levels of sort of intimacy of communication. It could be just like scheduling or it could be like almost like therapy. Clearly, I need some.
So let me ask you, you're one of the most successful people ever. You built an incredible company that has a lot of impact. What advice do you have for young people today? How to live a life that can be proud of how to build something that can have a big positive impact on the world?
Well, let's break that down because I think you're proud of have a big positive impact. Well, you're actually listening. How to live your life are actually three different things that I think. They could line up. But, and also like what age of people are you talking to? Because I mean, I can like.
High school in college. So you don't really know what you're doing, but you're dream big. And you really have a chance to do something unprecedented. Yeah. So I guess for people my age.
Okay. So let's maybe maybe start with the kind of most philosophical and abstract version of this. Yes. Every night when I put my daughters to bed, we go through this thing. And like, they call it the good night thing. Because we're basically what we talk about at night. And I just I go through them. Sounds like a good show. That's the good night. Thanks. Yeah, Chris Hill is always asking, she's like, can I get good night things? Like, I don't know. We go to bed too early. But it's. But I basically go through with Max and and Auggie. What are the things that are most important in life? Right? That I just it's like, what do I want them to remember and just have like really ingrained in them as they grow up? And it's health. Right? And making sure that you take care of yourself and keep yourself in good shape. Loving friends and family. Right? Because, you know, having the relationships, the family and making time for friends, I think is perhaps one of the most important things. And then the third is maybe a little more amorphous, but it is something that you're excited about for the future.
And when I'm talking to a four year old, often I'll ask her what she's excited about for tomorrow or the week ahead. But I think for most people, it's really hard. I mean, the world is a heavy place. And I think like the way that we navigate it is that we have things that we're looking forward to. So whether it is building AR glasses for the future or being able to celebrate my 10 year wedding anniversary with my wife that's coming up, it's like, I think people, you know, you have things that you're looking forward to. Or for the girls, it's often I want to see mom in the morning. Right? It's like, but it's like that's a really critical thing. And then the last thing is I ask them every day, what did you do today to help someone? Because I just think that that's a really critical thing is like, like it's easy to kind of get caught up in yourself and kind of stuff that's really far down the road. But like did you do something just concrete today to help someone? And you know, it can just be as simple as, okay, yeah, I helped set the table for lunch or, you know, this other kid in our school was having a hard time with something and I like helped explain it to him. But, but those are that sort of like, if you were to boil down my overall life philosophy into what I try to impart to my kids, those are the things that I think are really important.
So okay, so let's say college. So if you're graduate in college, probably more practical advice. It's almost very focused on people.
好的,我们来谈一谈大学。如果你是在大学毕业的,那么可能需要更多实用的建议。这些建议会更加关注个人。
And I think the most important decision you're probably going to make if you're in college is who you surround yourself with because you become like the people you surround yourself with.
我觉得在大学里你可能会做出最重要的决定是,和谁相处,因为你会成为你所交往的人的样子。
And I sort of have this hiring heuristic at meta, which is that I will only hire someone to work for me if I could see myself working for them. Not necessarily that I want them to run the company because I like my job, but like, but in an alternate universe, if it was their company and I was looking to go work somewhere, would I be happy to work for them?
And I think that that's a helpful heuristic to help balance. When you're building something like this, there's a lot of pressure to, you know, you want to build out your teams because there's a lot of stuff that you need to get done..
And then everyone always says, don't compromise on quality, but there's this question of, okay, how do you know that someone is good enough?
然后每个人总是说,不要在质量上妥协,但是有这样一个问题,那就是,好的水平到底如何判断?
And I think my answer is I would want someone to be to be on my team if I would work for them. But I think it's actually a pretty similar answer to like, if you were going to go, if you were choosing friends or a partner or something like that.
So when you're kind of in college, trying to figure out what your circle is going to be, trying to figure out, you know, you're evaluating different job opportunities. Who are the people, even if there are going to be peers in what you're doing, who are the people who in an alternate universe, you would want to work for them because you think you're going to learn a lot from them because they know, because they are kind of values aligned on the things that you care about.
And they're going to like, and they're going to push you, but also they know different things and have different experiences that are kind of more of what you want to become like over time.
他们会喜欢你,也会推动你,但也知道各种不同的事情和经历,那些会随着时间慢慢影响你成为一个更好的人。
So I don't know. I think probably people are too, in general, objective focused and maybe not focused enough on the connections and the people who they're, who they're basically building relationships.
所以我不知道。我认为,一般来说,人们可能太专注于客观目标,而不够关注他们正在建立关系的人和联系。
I don't know what it says about me, but my place in Austin now has seven, like, and robots. So I'm surrounded myself by robots, which is probably something I should look into.
What kind of world would you like to see your daughters grow up in even after you're gone?
你希望你的女儿在你离开后生长的世界是什么样子的?
Well, I think one of the promises of all the stuff that is going to build now is that it can be a world where more people have, can just live out their imagination.
我认为现在要建造的所有东西都有一个承诺,那就是它可以成为一个更多人可以仅仅依靠想象力来生活的世界。
But one of my favorite quotes, I think it was Attributes to Picasso. It's that all children are artists and the challenge is how do you remain one when you grow up?
我最喜欢的一句名言是来自毕加索的:所有的孩子都是艺术家,问题在于你长大后如何保持这种状态?
And I mean, if you have kids, you, this is pretty clear. I mean, they're just like wonderful imaginations.
我是说,如果你有孩子,那么这很清楚。他们就像美妙的想象一样。
And part of what I think is going to be great about the creator economy and the metaverse and all the stuff is like this notion around that a lot more people in the future are going to get to work doing creative stuff.
And what I think today we would just consider traditional labor or service. And I think that that's awesome. And like, I mean, that's like what a lot of what people are here to do is like collaborate together, work together, think of things that you want to build and go do it.
And I don't know. One of the things that I just think is striking. So I like, I teach my, my, my daughters, like some basic coding with scratch. I mean, they're still obviously really young.
But you know, I think of coding as building, right? It's like when I'm, when I'm coding, I'm like building something that I want to exist.
但你知道,我认为编码就像建造一样,对吧?就好像当我在编码的时候,我就是在建造一些我想要存在的东西。
But in my, my youngest daughter, you know, she's very musical and, and, and pretty artistic. And she thinks about coding as art.
但是在我年纪最小的女儿身上,你知道的,她非常有音乐天赋、还很有艺术感。她认为编程就像艺术一样。
She calls it code art, not the code, but the output of what she is making. It's like she's just very interesting visually and what she can kind of output and how it can move around.
And do we need to fix that? Are we good? We have to clap and do we have to clap? Alexa. Yeah. So I was, I was just talking about, you know, Aggie and her code art.
But I mean, to me, this is like a beautiful thing, right? The, the notion that like for me coding was this functional thing. And I enjoyed it. And it, it like helped build something utilitarian.
But that for the next generation of people, it will be even more a, an expression of their kind of imagination and artistic sense for what they want to exist.
但对于下一代人来说,它将更多地表现出他们的想象力和艺术感,以展现他们想要存在的东西。
So I don't know if that happens, if we can help bring about this world where, you know, a lot more people can, that that's like their existence going forward is being able to basically create and, and live out, you know, all these different kinds of art.
I just think that that's like a beautiful and wonderful thing. And we'll be very freeing for humanity to spend more of our time on the things that matter to us.
我认为那是一件美丽而奇妙的事情。它将给人类更多的自由,让我们有更多时间去关注我们认为重要的事情。
Yeah, a lot more and more people to express their art in the full meaning of that word.. Yeah. Beautiful vision.
是的,越来越多的人在完全意义上表达他们的艺术。是的。这是一个美丽的愿景。
We mentioned that you are mortal. Are you afraid of death? Do you think about your mortality? And are you afraid of it? You didn't sign up for this on a podcast. No, I mean, that's, it's an interesting question.
I, I'm definitely aware of it. I, I do a fair amount of like extreme sport type stuff. So, so like, so I'm definitely aware of it. And I, and you're flirting with it a bit. I, I train hard. I mean, so it's like if I'm going to go out in like, yeah, a 15 foot wave, then well, then it's like, all right, I'll make sure we have the right safety here and like make sure that I'm like, use that spot and all that stuff, but like, but, you know, I mean, you, the risk is still there. It takes some head blows along the way. Yes.
But definitely aware of it, definitely would like to stay safe. I have a lot of stuff that I want to build and want to, does it freak you out that it's finite though? That there's a deadline when it's all over. And there'll be a time when your daughters are around and you're gone.
I don't know that. Oh, that doesn't freak me out. I think constraints are helpful. Yeah. Yeah. Yeah. The finiteness is makes, makes ice cream taste more delicious and the fact that it's going to be over. There's something about that with the metaverse too. You want, we talked about this identity earlier, like having just one with like NFTs. There's something powerful about the constraint of finiteness or uniqueness that this moment is singular in history.
But I mean, a lot of, you know, as you go through different waves of technology, I think a lot of what is interesting is what becomes in practice infinite or kind of, there can be many, many of a thing and then what ends up still being constrained. So the metaverse should hopefully allow a very large number or maybe in practice, hopefully close to an infinite amount of expression in worlds. And but we'll still only have a finite amount of time.
Yes. I think living longer I think is good. And obviously all of my, our philanthropic work is, it's not focused on longevity, but it is focused on trying to achieve what I think is a possible goal in this century, which is to be able to cure, prevent or manage all diseases.
So I certainly think people kind of getting sick and dying is a bad thing because I'm, you know, dedicating and will solve my capital towards advancing research in that area to push on that, which I mean we can do a whole, another one of these podcasts about that. Exactly. Because that's, so what people should know.
Fascinating topic. With your web or select chain, you formed the chance, Zuckerberg initiative, give away 99% or pledge to give away 99% of Facebook, no matter shares. I mean, like you said, we could talk forever about all the exciting things you're working on there, including the sort of moonshot of eradicating disease by the mid century mark or I don't actually know if you're going to ever eradicate it, but I think you can get to a point where you can either cure things that happen, right?
So people get diseases, but you can cure them, prevent is probably closest to eradication or just be able to manage is sort of like ongoing things that are, you know, not going to ruin your life. And I think that that's possible. I think saying that there's going to be no disease at all probably is not possible within the next several decades.
The next thing is increase the quality of life and maybe keep the fine-knitness because it makes everything taste more delicious. Maybe that's just being romantic 20th century human. Maybe, but I mean, but it was an intentional decision to not focus on our philanthropy on like explicitly on longevity or living forever.
Yes. If at the moment of your death, and by the way, I like that the lights went out when we'd start talking about death, you get to meet a lot more dramatic. It does. Actually, you're closer to the mic. At the moment of your death, you get to meet God and you get to ask one question, what question would you like to ask? Or maybe a whole conversation, I don't know, it's up to you.
It's more dramatic when it's just one question. Well, if it's only one question and I died, I would just want to know that Priscilla and my family, like if they were going to be okay, that might depend on the circumstances of my death, but I think that in most circumstances that I can think of, that's probably the main thing that I would care about.
I think God will hear that question, be like, all right, fine, you get in. That's the right question. I don't know. The humility and selfishness. All right, you're right. Well, maybe they're going to be fine. Don't worry. One of the things that I think you struggle with at least is on the one hand, that's probably the most, the thing that's closest to me and maybe the most common human experience.
I don't know, one of the things that I just struggle with in terms of running this large enterprise is like, should the thing that I care more about be that responsibility? And I think it's shifted over time..
I mean, before I really had a family that was like the only thing I cared about and I had this point, I mean, I care deeply about it, but like, yeah, I think that that's not as obvious of a question.
Yeah, we humans are weird. You get this ability to impact millions of lives and it's definitely something, billions of lives is something you care about, but the weird humans that are closest to us, those are the ones that mean the most and I suppose that's the dream of the metaverse is to connect small groups like that where you can have those intimate relationships.
Let me ask you the big ridiculous. Well, and to be able to be close, not just based on who you happen to be next to. I think that's what the internet is already doing is allowing you to spend more of your time not physically proximate.
I mean, I always think when you think about the metaverse people ask this question with the real world, it's like, the virtual world versus the real world. It's like, no, the real world is a combination of the virtual world and the physical world.
But I think over time, as we get more technology, the physical world is becoming less of a percent of the real world. And I think that that opens up a lot of opportunities for people because you know, you can work in different places. You can stay more close to, stay closer to people who are in different places. Yeah, that's good. I'm moving barriers of geography and then barriers of language. Yeah. That's a beautiful vision.
Big ridiculous question. What do you think is the meaning of life?
你认为人生的意义是什么,这个问题有点儿夸张啊。
I think that there are probably a couple of different ways that I would go at this. But I think it gets back to this last question that we talked about about the duality between you have the people around you who you care the most about.
And then there's like this bigger thing that maybe you're building. And I think that in my own life, I mean, I sort of think about this tension.
然后就像是你可能正在构建的更大的东西。在我自己的生活中,我认为我思考这种张力。
But when it's look, I started this whole company and my life's work is around human connection. So I think it's intellectually probably the thing that I go to first is just that human connection is the meaning. And I think that it's a thing that our society probably systematically undervalues.
I mean, I just remember when I was growing up and in school, it's like, do your homework and then go play with your friends after. And it's like, no, what if playing with your friends is the point? It sounds like an argument your daughter would make.
Well, I mean, I don't know. I just think it's interesting. I don't know if it doesn't even matter, man. Well, I think it's interesting because it's, you know, people, I think people tend to think about that stuff as wasting time.
Or that's like what you do in the free time that you have. But like, what if that's actually the point? Yeah. So that's one.
或者那就像你在闲暇时间做的事情一样。不过,如果这实际上就是重点呢?是的,那就是其中之一。
But here's maybe a different way of counting out this, which is maybe a more like religious in nature. I mean, I always like, there's a rabbi who I've studied with, who kind of gave me this, we were talking through Genesis and the Bible and the Torah and they're basically walking through.
It's like, okay, you go through the seven days of creation and it's basically, it's like, why does the Bible start there? Right? It's like, it could have started anywhere, right, in terms of like how to live.
But basically it starts with talking about how God created people in his, her image. But the Bible starts by talking about how God created everything. So I actually think that there's like a compelling argument that I think I've always just found meaningful and inspiring that a lot of the point of what sort of religion has been telling us that we should do is to create and build things.
So these things are not necessarily odds. I mean, I think like, I mean, that's, and I think probably to some degree you'd expect me to say something like this because I've dedicated my life to creating things that help people connect some and that's sort of the fusion of, of, I mean, getting back to what we talked about earlier.
It's, I mean, what I studied in the school or psychology and computer science, right? So it's, I mean, these are, these are like the two themes that I care about. But I don't know for me. That's what, that's kind of what I think about. That's what matters. To create and to, to love, which is the ultimate form of connection.
I think this is one hell of an amazing replay experience in the metaverse. So whoever is using our avatars years from now, I hope you had fun. And thank you for talking today. Thank you.