← Lex Fridman

Mark Zuckerberg: Meta, Facebook, Instagram, and the Metaverse

第267期2022-02-26English

嘉宾:Mark Zuckerberg

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§01Transcript · 00:00–09:09

00:00Let's talk about free speech and censorship.

00:02- You don't build a company like this

00:04unless you believe that people expressing themselves

00:06is a good thing.

00:07- Let me ask you as a father,

00:08does it weigh heavy on you that people get bullied

00:11on social networks?

00:12- I care a lot about how people feel

00:14when they use our products,

00:15and I don't want to build products that make people angry.

00:19- Why do you think so many people dislike you?

00:21Some even hate you.

00:25And how do you regain their trust and support?

00:28(air whooshing)

00:30- The following is a conversation with Mark Zuckerberg,

00:32CEO of Facebook, now called Meta.

00:35Please allow me to say a few words

00:38about this conversation with Mark Zuckerberg,

00:41about social media,

00:42and about what troubles me in the world today,

00:45and what gives me hope.

00:47If this is not interesting to you,

00:49I understand, please skip.

00:51I believe that at its best,

00:55social media puts a mirror to humanity,

00:57and reveals the full complexity of our world,

01:01shining a light on the dark aspects of human nature,

01:04and giving us hope, a way out,

01:06through compassionate but tense chaos of conversation

01:09that eventually can turn into understanding,

01:12friendship, and even love.

01:14But this is not simple.

01:17Our world is not simple.

01:19It is full of human suffering.

01:21I think about the hundreds of millions of people

01:24who are starving, and who live in extreme poverty.

01:28The one million people who take their own life every year,

01:31the 20 million people that attempt it,

01:33and the many, many more millions who suffer quietly,

01:37in ways that numbers can never know.

01:39I'm troubled by the cruelty and pain of war.

01:44Today, my heart goes out to the people of Ukraine.

01:48My grandfather spilled his blood on this land,

01:52held the line as a machine gunner against the Nazi invasion,

01:55surviving impossible odds.

01:59I am nothing without him.

02:01His blood runs in my blood.

02:03My words are useless here.

02:07I send my love, it's all I have.

02:10I hope to travel to Russia and Ukraine soon.

02:14I will speak to citizens and leaders,

02:16including Vladimir Putin.

02:19As I've said in the past, I don't care about access,

02:22fame, money, or power, and I'm afraid of nothing.

02:26But I am who I am, and my goal in conversation

02:31is to understand the human being before me,

02:33no matter who they are, no matter their position.

02:36And I do believe the line between good and evil

02:40runs through the heart of every man.

02:42So this is it.

02:45This is our world.

02:47It is full of hate, violence, and destruction.

02:50But it is also full of love, beauty,

02:55and the insatiable desire to help each other.

02:57The people who run the social networks

03:01that show this world, that show us to ourselves,

03:05have the greatest of responsibilities.

03:08In a time of war, pandemic, atrocity,

03:11we turn to social networks to share real human insights

03:14and experiences, to organize protests and celebrations,

03:18to learn and to challenge our understanding

03:20of the world, of our history, and of our future,

03:24and above all, to be reminded of our common humanity.

03:27When the social networks fail,

03:30they have the power to cause immense suffering.

03:33And when they succeed, they have the power

03:35to lessen that suffering.

03:37This is hard.

03:39It's a responsibility, perhaps almost unlike

03:41any other in history.

03:44This podcast conversation attempts to understand

03:46the man and the company who take this responsibility on,

03:50where they fail, and where they hope to succeed.

03:53Mark Zuckerberg's feet are often held to the fire,

03:57as they should be, and this actually gives me hope.

04:01The power of innovation and engineering,

04:03coupled with the freedom of speech

04:05in the form of its highest ideal,

04:07I believe can solve any problem in the world.

04:11But that's just it.

04:12Both are necessary, the engineer and the critic.

04:16I believe that criticism is essential,

04:20but cynicism is not.

04:23And I worry that in our public discourse,

04:25cynicism too easily masquerades as wisdom,

04:29as truth, becomes viral and takes over,

04:32and worse, suffocates the dreams of young minds

04:35who want to build solutions to the problems of the world.

04:39We need to inspire those young minds.

04:41At least for me, they give me hope.

04:43And one small way I'm trying to contribute

04:47is to have honest conversations like these

04:49that don't just ride the viral wave of cynicism,

04:53but seek to understand the failures and successes

04:55of the past, the problems before us,

04:57and the possible solutions

04:59in this very complicated world of ours.

05:02I'm sure I will fail often,

05:05and I count on the critic to point it out when I do.

05:10But I ask for one thing,

05:12and that is to fuel the fire of optimism,

05:15especially in those who dream to build solutions,

05:18because without that, we don't have a chance

05:21on this too fragile, tiny planet of ours.

05:24This is the Lex Friedman Podcast.

05:28To support it, please check out our sponsors

05:30in the description.

05:31And now, dear friends, here's Mark Zuckerberg.

05:36(papers rustling)

05:39Can you circle all the traffic lights, please?

05:43You actually did it.

05:54That is very impressive performance.

05:56Okay, now we can initiate the interview procedure.

06:00Is it possible that this conversation is happening

06:02inside the metaverse created by you,

06:05by Meta, many years from now,

06:07and we're doing a memory replay experience?

06:10- I don't know the answer to that.

06:11Then I'd be some computer construct

06:15and not the person who created that meta company.

06:19But that would truly be Meta.

06:20- Right, so this could be somebody else

06:23using the Mark Zuckerberg avatar

06:26who can do the Mark and the Lex conversation replay

06:29from four decades ago,

06:30when Meta, it was first--

06:33- I mean, it's not gonna be four decades

06:34before we have photorealistic avatars like this.

06:38So I think we're much closer to that.

06:40- Well, that's something you talk about

06:41is how passionate you are about the idea

06:43of the avatar representing who you are in the metaverse.

06:46So I do these podcasts in person.

06:49You know, I'm a stickler for that

06:52because there's a magic to the in-person conversation.

06:55How long do you think it'll be before

06:58you can have the same kind of magic in the metaverse,

07:00the same kind of intimacy in the chemistry,

07:02whatever the heck is there when we're talking in person?

07:06How difficult is it?

07:07How long before we have it in the metaverse?

07:09- Well, I think this is like the key question, right?

07:12Because the thing that's different about virtual

07:17and hopefully augmented reality

07:19compared to all other forms of digital platforms before

07:22is this feeling of presence, right?

07:24The feeling that you're right,

07:25that you're in an experience

07:27and that you're there with other people

07:28or in another place.

07:29And that's just different from all of the other screens

07:32that we have today, right?

07:33Phones, TVs, all this stuff.

07:35It's, you know, they're trying to, in some cases,

07:38deliver experiences that feel high fidelity,

07:43but at no point do you actually feel like you're in it,

07:46right?

07:46At some level, your content is trying to sort of

07:48convince you that this is a realistic thing

07:51that's happening, but all of the kind of subtle signals

07:54are telling you, no, you're looking at a screen.

07:56So the question about how you develop these systems

07:59is like, what are all of the things that make

08:02the physical world all the different cues?

08:04So I think on visual presence and spatial audio,

08:09we're making reasonable progress.

08:15Spatial audio makes a huge deal.

08:16I don't know if you've tried this experience,

08:19workrooms that we launched where you have meetings.

08:21And, you know, I basically made a rule for, you know,

08:24all of the top, you know, management folks at the company

08:27that they need to be doing standing meetings

08:29in workrooms already, right?

08:31I feel like we got to dog food this, you know,

08:33this is how people are going to work in the future.

08:35So we have to adopt this now.

08:37And there were already a lot of things that I think

08:41feel significantly better than like typical Zoom meetings,

08:44even though the avatars are a lot lower fidelity,

08:47you know, the idea that you have spatial audio,

08:50you're around a table in VR with people.

08:53If someone's talking from over there,

08:55it sounds like it's talking from over there.

08:56You can see, you know, the arm gestures and stuff

09:00feel more natural.

09:01You can have side conversations,

09:03which is something that you can't really do in Zoom.

09:04I mean, I guess you can text someone over,

09:06like out of band, but,

09:09and if you're actually sitting around a table with people,

§02Transcript · 09:12–17:34

09:12you know, you can lean over and whisper

09:14to the person next to you and like have a conversation

09:16that you can't, you know, that you can't really do with

09:19in just video communication.

09:23So I think it's interesting in what ways

09:27some of these things already feel more real

09:29than a lot of the technology that we have,

09:32even when the visual fidelity isn't quite there,

09:35but I think it'll get there over the next few years.

09:37Now, I mean, you were asking about comparing that

09:38to the true physical world, not Zoom or something like that.

09:42And there, I mean, I think you have feelings of like

09:46temperature, you know, olfactory, obviously touch, right?

09:52We're working on haptic gloves, you know,

09:54the sense that you wanna be able to, you know,

09:56put your hands down and feel some pressure from the table.

09:59You know, all of these things, I think,

10:00are gonna be really critical to be able to keep up

10:03this illusion that you're in a world

10:06and that you're fully present in this world.

10:08But I don't know, I think we're gonna have a lot

10:10of these building blocks within, you know,

10:12the next 10 years or so.

10:14And even before that, I think it's amazing

10:15how much you're just gonna be able to build with software

10:18that sort of masks some of these things.

10:21- I realize I'm going long, but I, you know,

10:23I was told we have a few hours here.

10:25- Yeah, we're here for five to six hours.

10:27- Yeah, so I mean, look, I mean, that's on the shorter end

10:30of the congressional testimonies I've done.

10:32But it's, but, you know, one of the things that we found

10:36with hand presence, right?

10:39So the earliest VR, you just have the headset

10:41and then, and that was cool, you could look around,

10:44you feel like you're in a place,

10:45but you don't feel like you're really able to interact

10:47with it until you have hands.

10:48And then there was this big question where once you got

10:50hands, what's the right way to represent them?

10:53And initially, all of our assumptions was, okay,

10:58when I look down and see my hands in the physical world,

11:00I see an arm and it's gonna be super weird if you see,

11:03you know, just your hand.

11:04But it turned out to not be the case,

11:08because there's this issue with your arms,

11:09which is like, what's your elbow angle?

11:11And if the elbow angle that we're kind of interpolating

11:14based on where your hand is and where your headset is,

11:18actually isn't accurate,

11:19it creates this very uncomfortable feeling where it's like,

11:22oh, like my arm is actually out like this,

11:24but it's like showing it in here.

11:25And that actually broke the feeling of presence a lot more.

11:29Whereas it turns out that if you just show the hands

11:31and you don't show the arms, it actually is fine for people.

11:36So I think that there's a bunch of these interesting

11:39psychological cues where it'll be more about getting

11:43the right details right.

11:44And I think a lot of that will be possible even over,

11:47you know, a few year period or a five year period,

11:49and we won't need like every single thing to be solved

11:52to deliver this like full sense of presence.

11:54- Yeah, it's a fascinating psychology question of

11:56what is the essence that makes in-person conversation

12:01special?

12:04It's like emojis are able to convey emotion really well,

12:08even though they're obviously not photorealistic.

12:10And so in that same way, just like you're saying,

12:12just showing the hands is able to create a comfortable

12:16expression with your hands.

12:18So I wonder what that is.

12:19You know, people in the world wars used to write letters

12:21and you can fall in love with just writing letters.

12:24You don't need to see each other in person.

12:26You can convey emotion, you can be depth of experience

12:31with just words.

12:32So that's, I think, a fascinating place to explore

12:36psychology of like, how do you find that intimacy?

12:39- Yeah, and you know, the way that I come to all of this

12:41stuff is, you know, I basically studied psychology

12:44and computer science.

12:45So all of the work that I do is sort of at the intersection

12:49of those things.

12:50I think most of the other big tech companies are building

12:53technology for you to interact with.

12:55What I care about is building technology to help people

12:57interact with each other.

12:58So I think it's a somewhat different approach than most of

13:00the other tech entrepreneurs and big companies

13:03come at this from.

13:04And a lot of the lessons in terms of how I think about

13:09designing products come from some just basic elements

13:14of psychology, right?

13:15In terms of, you know, our brains, you can compare to the

13:19brains of other animals, you know, we're very wired to

13:22specific things, facial expressions, right?

13:25I mean, we're very visual, right?

13:28So compared to other animals, I mean, that's clearly

13:30the main sense that most people have.

13:32But there's a whole part of your brain that's just kind of

13:36focused on reading facial cues.

13:38So, you know, when we're designing the next version of Quest

13:42or the VR headset, a big focus for us is face tracking

13:45and basically eye tracking so you can make eye contact,

13:48which again, isn't really something that you can do

13:50over a video conference.

13:51It's sort of amazing how much, how far video conferencing

13:55has gotten without the ability to make eye contact, right?

13:58It's sort of a bizarre thing if you think about it,

14:00you're like looking at someone's face, you know,

14:03sometimes for an hour when you're in a meeting and like,

14:06you looking at their eyes to them doesn't look like

14:09you're looking at their eyes.

14:10So it's a-- - You're always looking,

14:12I mean, past each other, I guess.

14:14- Yeah. - I guess you're right.

14:15You're not sending that signal. - Well, you're trying to.

14:17- Right, you're trying to. - Like a lot of times,

14:18I mean, or at least I find myself,

14:19I'm trying to look into the other person's eyes.

14:21- But they don't feel like you're looking to their eyes.

14:23- So then the question is, all right,

14:24am I supposed to look at the camera so that way you can,

14:26you know, have a sensation that I'm looking at you?

14:28I think that that's an interesting question.

14:30And then, you know, with VR today, even without eye tracking

14:35and knowing what your eyes are actually looking at,

14:37you can fake it reasonably well, right?

14:39So you can look at like where the head poses,

14:42and if it looks like I'm kind of looking

14:43in your general direction, then you can sort of assume

14:46that maybe there's some eye contact intended,

14:48and you can do it in a way where it's okay.

14:50Maybe not, it's like a, maybe it's not a, you know,

14:53fixated stare, but it's somewhat natural.

14:56But once you have actual eye tracking,

14:58you can do it for real.

15:00And I think that that's really important stuff.

15:02So when I think about Meta's contribution to this field,

15:05I have to say it's not clear to me

15:06that any of the other companies that are focused

15:09on the Metaverse or on virtual and augmented reality

15:13are gonna prioritize putting these features in the hardware

15:15because like everything, they're trade-offs, right?

15:18I mean, it adds some weight to the device.

15:21Maybe it adds some thickness.

15:22You could totally see another company taking the approach

15:24of let's just make the lightest and thinnest thing possible.

15:27But, you know, I want us to design

15:29the most human thing possible

15:31that creates the richest sense of presence.

15:34'Cause so much of human emotion and expression

15:37comes from these like micro movements.

15:39If I like move my eyebrow, you know, a millimeter,

15:41you will notice and that like means something.

15:44So the fact that we're losing these signals

15:46and a lot of communication I think is a loss.

15:49And so it's not like, okay, there's one feature

15:51and you add this, then it all of a sudden

15:53is gonna feel like we have real presence.

15:55You can sort of look at how the human brain works

15:57and how we express and kind of read emotions.

16:01And you can just build a roadmap of that, you know,

16:04of just what are the most important things

16:06to try to unlock over a five to 10 year period

16:08and just try to make the experience

16:10more and more human and social.

16:12- When do you think would be a moment

16:16like a singularity moment for the metaverse

16:19where there's a lot of ways to ask this question,

16:22but, you know, people will have many

16:25or most of their meaningful experiences

16:28in the metaverse versus the real world.

16:31And actually it's interesting to think about the fact

16:33that a lot of people are having the most important moments

16:36of their life happen in the digital sphere,

16:39especially now during COVID, you know,

16:41like even falling in love or meeting friends

16:45or getting excited about stuff

16:46that is happening on the 2D digital plane.

16:49When do you think the metaverse

16:50will provide those experiences for a large number,

16:54like a majority of the population?

16:54- Yeah, I think it's a really good question.

16:57There was someone, you know, I read this piece

17:00that framed this as, a lot of people think

17:03that the metaverse is about a place,

17:06but one definition of this is it's about a time

17:10when basically immersive digital worlds

17:12become the primary way that we live our lives

17:17and spend our time.

17:18I think that that's a reasonable construct.

17:20And from that perspective, you know,

17:21I think you also just want to look at this as a continuation

17:25because it's not like, okay, we are building digital worlds,

17:28but we don't have that today.

17:29I think, you know, you and I probably already live

17:32a very large part of our life in digital worlds.

17:34They're just not 3D immersive virtual reality,

§03Transcript · 17:37–24:54

17:37but, you know, I do a lot of meetings over video

17:39or I spend a lot of time writing things

17:41over email or WhatsApp or whatever.

17:44So what is it gonna take to get there

17:45for kind of the immersive presence version of this,

17:48which I think is what you're asking.

17:50And for that, I think that there's just a bunch

17:52of different use cases, right?

17:54And I think when you're building virtual worlds,

17:59technology, I think you're,

18:02a lot of it is just you're managing this duality

18:05where on the one hand,

18:06you want to build these elegant things that can scale

18:10and, you know, have billions of people use them

18:12and get value from them.

18:13And then on the other hand,

18:14you're fighting this kind of ground game where it's just,

18:18there are just a lot of different use cases

18:19and people do different things

18:20and like you want to be able to unlock them.

18:22So the first ones that we basically went after

18:25were gaming with Quest and social experiences.

18:30And this is, you know,

18:31it goes back to when we started working on virtual reality.

18:33My theory at the time was basically,

18:36people thought about it as gaming,

18:39but if you look at all computing platforms up to that point,

18:44you know, gaming is a huge part.

18:46It was a huge part of PCs.

18:47It was a huge part of mobile,

18:49but it was also very decentralized, right?

18:51There wasn't, you know, for the most part,

18:54you know, one or two gaming companies,

18:55there were a lot of gaming companies

18:57and gaming is somewhat hits based.

18:58I mean, we're getting some games

18:59that have more longevity,

19:01but in general, you know,

19:03there were a lot of different games out there.

19:06But on PC and on mobile,

19:10the companies that focused on communication

19:13and social interaction,

19:15there tended to be a smaller number of those.

19:17And that ended up being just as important of a thing

19:19as all of the games that you did combined.

19:21I think productivity is another area.

19:23That's obviously something

19:24we've historically been less focused on,

19:26but I think it's gonna be really important.

19:27- With workroom, do you mean productivity

19:29in the collaborative aspect?

19:30- Yeah, I think that there's a workrooms aspect of this,

19:34like a meeting aspect.

19:35And then I think that there's like a, you know,

19:37Word, Excel, you know, productivity.

19:40You're like, you're working or coding or what,

19:43knowledge work, right?

19:44It's as opposed to just meetings.

19:46So you can kind of go through

19:47all these different use cases.

19:49You know, gaming, I think we're well on our way.

19:51Social, I think we're just the kind of preeminent company

19:56that focuses on this.

19:57And I think that that's already on quest becoming the,

20:00you know, if you look at the list of what are the top apps,

20:03you know, social apps are already,

20:04you know, number one, two, three.

20:06So that's kind of becoming a critical thing.

20:09But I don't know, I would imagine for someone like you,

20:12it'll be, you know, until we get, you know,

20:15a lot of the work things dialed in, right?

20:17When this is just like much more adopted

20:20and clearly better than Zoom for VC,

20:24when, you know, if you're doing your coding

20:26or your writing or whatever it is in VR,

20:29which it's not that far off to imagine that

20:31because pretty soon you're just gonna be able

20:32to have a screen that's bigger than, you know,

20:34it'll be your ideal setup and you can bring it with you

20:36and put it on anywhere

20:37and have your kind of ideal workstation.

20:39So I think that there are a few things to work out on that,

20:42but I don't think that that's more than,

20:44you know, five years off.

20:46And then you'll get a bunch of other things

20:48that like aren't even possible

20:50or you don't even think about using a phone

20:52or PC for today, like fitness, right?

20:54So, I mean, I know that you're,

20:56we were talking before about how you're into running

20:58and like, I'm really into, you know,

21:00a lot of things around fitness as well,

21:02you know, different things in different places.

21:04I got really into hydrofoiling recently.

21:06- Nice, I saw a video.

21:08- Yeah, and surfing and I used to fence competitively,

21:12I like run, so.

21:13- And you were saying that you were thinking

21:14about trying different martial arts

21:16and I tried to trick you and convince you

21:18into doing Brazilian Jiu-Jitsu

21:19or you actually mentioned that that was one

21:21you're curious about and I--

21:22- Was that a trick?

21:24- Yeah, I don't know.

21:26We're in the metaverse now.

21:27- Yeah, no, I mean, I took that seriously.

21:29I thought that that was a real suggestion.

21:34- That would be an amazing chance

21:36if we ever step on the mat together

21:37and just like roll around.

21:39I'll show you some moves.

21:40- Well, give me a year to train

21:41and then we can do it.

21:42- This is like, you know, you've seen "Rocky IV"

21:44where the Russian faces off the American,

21:46I'm the Russian in this picture.

21:48And then you're the Rocky, the underdog

21:49that gets to win in the end.

21:51- The idea of me as Rocky and like fighting is--

21:55- If he dies, he dies.

21:58(laughing)

21:59Sorry, just had to say.

22:00- I mean-- - Anyway, yeah.

22:02- But I mean, a lot of aspects of fitness,

22:05you know, I don't know if you've tried supernatural

22:08on Quest or--

22:10- So first of all, can I just comment on the fact

22:12every time I played around with Quest 2,

22:15I just, I get giddy every time I step into virtual reality.

22:18So you mentioned productivity and all those kinds of things.

22:20That's definitely something I'm excited about,

22:23but really I just love the possibilities

22:26of stepping into that world.

22:28Maybe it's the introvert in me,

22:30but it just feels like the most convenient way

22:34to travel into worlds,

22:37into worlds that are similar to the real world

22:40or totally different.

22:41So it's like "Alice in Wonderland,"

22:42just try out crazy stuff.

22:44The possibilities are endless.

22:45And I just, I personally,

22:47and just love, get excited for stepping

22:52in those virtual worlds.

22:53So I'm a huge fan.

22:55In terms of the productivity as a programmer,

22:58I spend most of my day programming.

23:00That's really interesting also,

23:02but then you have to develop the right IDs.

23:04You have to develop, like there has to be a threshold

23:07where a large amount of the programming community

23:09moves there.

23:10But the collaborative aspects that are possible

23:13in terms of meetings, in terms of the,

23:15when two coders are working together,

23:18I mean, that, the possibilities there

23:19are super, super exciting.

23:21- I think that in building this,

23:24we sort of need to balance,

23:25there are gonna be some new things

23:28that you just couldn't do before,

23:29and those are gonna be the amazing experiences.

23:31So teleporting to any place, right?

23:33Whether it's a real place or something that people made.

23:36I mean, some of the experiences around

23:40how we can build stuff in new ways,

23:42where a lot of the stuff that,

23:44when I'm coding stuff, it's like, all right, you code it,

23:46and then you build it, and then you see it afterwards.

23:48But increasingly, it's gonna be possible to,

23:50you're in a world and you're building the world

23:52as you are in it and kind of manipulating it.

23:55One of the things that we showed at our Inside the Lab

23:58for recent artificial intelligence progress

24:02is this BuilderBot program, where now you are,

24:05you can just talk to it and say,

24:07"Hey, okay, I'm in this world,

24:08"put some trees over there and it'll do that."

24:10And like, "All right, put some bottles of water

24:13"on our picnic blanket and it'll do that,

24:16"and you're in the world."

24:17And I think there are gonna be new paradigms for coding.

24:19So yeah, there are gonna be some things

24:22that I think are just pretty amazing,

24:24especially the first few times that you do them,

24:26that you're like, "Whoa,

24:28"I've never had an experience like this."

24:30But most of your life, I would imagine,

24:34is not doing things that are amazing for the first time.

24:37A lot of this in terms of,

24:39I mean, just answering your question from before around,

24:42what is it gonna take before you're spending

24:43most of your time in this?

24:45Well, first of all, let me just say this as an aside,

24:48the goal isn't to have people spend

24:49a lot more time in computing.

24:50- I'm asking for myself.

24:52When will I spend all my time in that?

24:54- Yeah, it's to make computing more natural.

§04Transcript · 24:57–33:31

24:57But I think you will spend most of your computing time

25:02in this when it does the things

25:04that you use computing for somewhat better.

25:07So maybe having your perfect workstation

25:10is a 5% improvement on your coding productivity.

25:15Maybe it's not like a completely new thing.

25:18But I mean, look, if I could increase the productivity

25:21of every engineer at Meta by 5%,

25:24we'd buy those devices for everyone.

25:27And I imagine a lot of other companies would too.

25:30And that's how you start getting to the scale

25:31that I think makes this rival

25:34some of the bigger computing platforms that exist today.

25:37- Let me ask you about identity.

25:38We talked about the avatar.

25:40How do you see identity in the metaverse?

25:42Should the avatar be tied to your identity?

25:46Or can I be anything in the metaverse?

25:49Like can I be whatever the heck I want?

25:52Can I even be a troll?

25:53So there's exciting, freeing possibilities,

25:57and there's the darker possibilities too.

25:59- Yeah, I mean, I think that there's gonna be a range.

26:03So we're working on, for expression and avatars,

26:07on one end of the spectrum are kind of expressive

26:13and cartoonish avatars.

26:14And then on the other end of the spectrum

26:16are photorealistic avatars.

26:18And I just think the reality is that

26:20there are gonna be different use cases for different things.

26:23And I guess there's another axis.

26:25So if you're going from photorealistic to expressive,

26:28there's also like representing you directly

26:31versus like some fantasy identity.

26:33And I think that there are gonna be things

26:35on all ends of that spectrum too.

26:37So you'll want photo,

26:39in some experience you might wanna be like

26:42a photorealistic dragon, right?

26:44Or if I'm playing Onward,

26:46or just this military simulator game,

26:48I think getting to be more photorealistic as a soldier

26:53in that could enhance the experience.

26:56There are times when I'm hanging out with friends

26:59where I want them to know it's me.

27:02So a kind of cartoonish or expressive version of me is good.

27:06But there are also experiences like,

27:09now VR Chat does this well today,

27:11where a lot of the experience is kind of dressing up

27:14and wearing a fantastical avatar

27:17that's almost like a meme or is humorous.

27:19So you come into an experience

27:21and it's almost like you have like a built-in icebreaker

27:24because like you see people and you're just like,

27:27all right, I'm cracking up at what you're wearing

27:29because that's funny.

27:30And it's just like, where'd you get that?

27:31Or, oh, you made that?

27:32That's, it's awesome.

27:34Whereas, okay, if you're going into a work meeting,

27:38maybe a photorealistic version of your real self

27:41is gonna be the most appropriate thing for that.

27:43So I think the reality is there aren't going to be,

27:47it's not just gonna be one thing.

27:49My own sense of kind of how you wanna express identity

27:55online has sort of evolved over time in that,

27:57early days in Facebook, I thought, okay,

27:59people are gonna have one identity.

28:00And now I think that's clearly not gonna be the case.

28:02I think you're gonna have all these different things

28:04and there's utility in being able to do different things.

28:07So some of the technical challenges

28:10that I'm really interested in around it are,

28:12how do you build the software to allow people

28:14to seamlessly go between them?

28:17So say, so you could view them as just completely

28:23discrete points on a spectrum,

28:25but let's talk about the metaverse economy for a second.

28:28Let's say I buy a digital shirt

28:31for my photorealistic avatar, which by the way,

28:34I think at the time where we're spending a lot of time

28:36in the metaverse doing a lot of our work meetings

28:38in the metaverse and et cetera,

28:40I would imagine that the economy around virtual clothing

28:42as an example is going to be quite as big.

28:44Why wouldn't I spend almost as much money

28:46in investing in my appearance or expression

28:49for my photorealistic avatar for meetings

28:52as I would for the, whatever I'm gonna wear

28:54in my video chat.

28:55But the question is, okay, so you,

28:56let's say you buy some shirt for your photorealistic avatar.

28:59Wouldn't it be cool if there was a way to basically

29:03translate that into a more expressive thing

29:07for your kind of cartoonish or expressive avatar?

29:11And there are multiple ways to do that.

29:12You can view them as two discrete points and okay,

29:14maybe if a designer sells one thing,

29:18then it actually comes in a pack and there's two

29:19and you can use either one on that.

29:22But I actually think this stuff might exist more

29:24as a spectrum in the future.

29:26And that's what, I do think the direction on some of the

29:30AI advances that is happening to be able to,

29:34especially stuff around like style transfer,

29:35being able to take a piece of art or express something

29:39and say, okay, paint me this photo in the style of Gauguin

29:44or whoever it is that you're interested in.

29:48Take this shirt and put it in the style

29:51of what I've designed for my expressive avatar.

29:53I think that's gonna be pretty compelling.

29:56- And so the fashion, you might be buying like a generator,

30:00like a closet that generates a style.

30:03And then like with the gowns,

30:05they'll be able to infinitely generate outfits

30:08thereby making it, so the reason I wear the same thing

30:10all the time is I don't like choice.

30:12You've talked about the same thing,

30:15but now you don't even have to choose.

30:16Your closet generates your outfit for you every time.

30:19So you have to live with the outfit it generates.

30:23- I mean, you could do that, although,

30:25no, I think some people will,

30:27but I think like, I think that there's going to be

30:29a huge aspect of just people doing creative commerce here.

30:34So I think that there is going to be a big market

30:37around people designing digital clothing.

30:41But the question is, if you're designing digital clothing,

30:42do you need to design, if you're the designer,

30:44do you need to make it for each kind of specific,

30:47discrete point along a spectrum?

30:49Or are you just designing it for kind of

30:52a photorealistic case or an expressive case,

30:54or can you design one and have it translate

30:56across these things?

30:57You know, if I buy a style from a designer

31:01who I care about and now I'm a dragon,

31:03is there a way to morph that so it like goes on the dragon

31:05in a way that makes sense?

31:07And that I think is an interesting AI problem

31:09because you're probably not going to make it so that,

31:11like that designers have to go design for all those things.

31:14But the more useful the digital content is

31:17that you buy in a lot of uses, in a lot of use cases,

31:21the more that economy will just explode.

31:23And that's a lot of what, you know, all of the,

31:25you know, we were joking about NFTs before,

31:29but I think a lot of the promise here is that

31:32if the digital goods that you buy are not just tied

31:35to one platform or one use case,

31:37they end up being more valuable,

31:38which means that people are more willing

31:39and more likely to invest in them.

31:41And that just spurs the whole economy.

31:44- But the question is,

31:45so that's a fascinating positive aspect,

31:47but the potential negative aspect is that

31:50you can have people concealing their identity

31:52in order to troll or even not people, bots.

31:57So how do you know in the metaverse

31:58that you're talking to a real human or an AI

32:02or a well-intentioned human?

32:03Is that something you think about,

32:04something you're concerned about?

32:06- Well, let's break that down into a few different cases.

32:10I mean, 'cause knowing that you're talking to someone

32:11who has good intentions is something

32:13that I think is not even solved in pretty much anywhere.

32:17But if you're talking to someone who's a dragon,

32:20I think it's pretty clear

32:21that they're not representing themselves as a person.

32:23I think probably the most pernicious thing

32:25that you want to solve for is,

32:28I think probably one of the scariest ones

32:32is how do you make sure

32:32that someone isn't impersonating you?

32:34Right, so like, okay,

32:36you're in a future version of this conversation

32:39and we have photorealistic avatars

32:41and we're doing this in workrooms

32:43or whatever the future version of that is.

32:44And someone walks in who like looks like me.

32:48How do you know that that's me?

32:50And one of the things that we're thinking about is,

32:54you know, it's still a pretty big AI project

32:57to be able to generate photorealistic avatars

32:59that basically can like,

33:00they work like these codecs of you, right?

33:03And so you kind of have a map from your headset

33:06and whatever sensors of what your body's actually doing

33:08and it takes the model in it

33:09and it kind of displays it in VR.

33:11But there's a question which is,

33:12should there be some sort of biometric security

33:15so that like when I put on my VR headset

33:18or I'm going to go use that avatar,

33:20I need to first prove that I am that.

33:24And I think you probably are gonna want something like that.

33:26So that's, you know, as we're developing these technologies,

33:31we're also thinking about the security for things like that

§05Transcript · 33:34–41:27

33:34because people aren't gonna want to be impersonated.

33:37That's a huge security issue.

33:39Then you just get the question of people hiding behind

33:44fake accounts to do malicious things,

33:48which is not gonna be unique to the metaverse.

33:51Although, you know, certainly in a environment

33:56where it's more immersive

33:57and you have more of a sense of presence,

33:58it could be more painful.

34:01But this is obviously something

34:03that we've just dealt with for years

34:06in social media and the internet more broadly.

34:08And there, I think there have been a bunch of tactics

34:13that I think we've just evolved to,

34:17you know, we've built up these different AI systems

34:20to basically get a sense of,

34:21is this account behaving in the way that a person would?

34:26And it turns out, you know,

34:28so in all of the work that we've done around,

34:31you know, we call it community integrity

34:33and it's basically like policing harmful content

34:36and trying to figure out where to draw the line.

34:38And there are all these like really hard

34:39and philosophical questions around like,

34:41where do you draw the line on some of this stuff?

34:42And the thing that I've kind of found the most effective

34:47is as much as possible trying to figure out

34:51who are the inauthentic accounts

34:53or where are the accounts that are behaving

34:55in an overall harmful way at the account level,

34:58rather than trying to get into like policing

35:00what they're saying, right?

35:01Which I think the metaverse is gonna be even harder

35:03because the metaverse, I think,

35:04will have more properties of,

35:07it's almost more like a phone call, right?

35:09Or like, or you're, you know,

35:10it's not like I post a piece of content

35:12and is that piece of content good or bad?

35:14So I think more of this stuff will have to be done

35:16at the level of the account.

35:19But this is the area where, you know,

35:21between the kind of, you know,

35:25counterintelligence teams that we built up

35:27inside the company and like years of building

35:29just different AI systems to basically detect

35:34what is a real account and what isn't.

35:36I'm not saying we're perfect,

35:37but like this is an area where I just think

35:39we are like years ahead of basically anyone else

35:43in the industry in terms of having built those capabilities.

35:48And I think that that just is gonna be incredibly important

35:50for this next wave of things.

35:51- And like you said, on a technical level,

35:53on a philosophical level,

35:54it's an incredibly difficult problem to solve.

35:57By the way, I would probably like to open source my avatar

36:03so that could be like millions of Lex's walking around,

36:05just like an army.

36:07- Like Agent Smith.

36:08- Agent Smith, yeah, exactly.

36:10So the Unity ML folks built a copy of me

36:15and they sent it to me.

36:17So there's a person running around

36:20and I'd just been doing reinforcement learning on it.

36:22I was gonna release it because, you know,

36:26just to have sort of like thousands of Lex's

36:29doing reinforcement learning.

36:31So they fall over naturally,

36:32they have to learn how to like walk around and stuff.

36:34So I love that idea of this tension

36:37between biometric security, you want to have one identity,

36:40but then certain avatars, you might have to have many.

36:43I don't know which is better security,

36:45sort of flooding the world with Lex's

36:48and thereby achieving security

36:49or really being protective of your identity.

36:51I have to ask a security question actually.

36:53- Well, how does flooding the world with Lex's

36:56help me know in our conversation

36:58that I'm talking to the real Lex?

36:59- I completely destroy the trust

37:01in all my relationships then, right?

37:03If I flood, 'cause then it's, yeah, that...

37:06- I think that one's not gonna work that well for you.

37:09- It's not gonna work that, for the original copy.

37:11- It probably fits some things,

37:13like if you're a public figure

37:14and you're trying to have, you know, a bunch of,

37:18if you're trying to show up

37:19in a bunch of different places in the future,

37:21you'll be able to do that in the metaverse.

37:23So that kind of replication I think will be useful.

37:26But I do think that you're gonna want a notion of like,

37:29I am talking to the real one.

37:31- Yeah, yeah, especially if the fake ones

37:34start outperforming you in all your private relationships

37:37and then you're left behind.

37:38I mean, that's a serious concern I have with clones.

37:41Again, the things I think about.

37:43Okay, so I recently got, I use QNAP NAS storage.

37:48So just storage for video and stuff.

37:50And I recently got hacked.

37:51It was the first time for me with ransomware.

37:53It's not me personally, it's all QNAP devices.

37:58So the question that people have

38:00is about security in general,

38:03because I was doing a lot of the right things

38:05in terms of security and nevertheless,

38:06ransomware basically disabled my device.

38:10Is that something you think about?

38:12What are the different steps you could take

38:13to protect people's data on the security front?

38:16- I think that there's different solutions for,

38:20and strategies where it makes sense to have stuff

38:23kind of put behind a fortress, right?

38:25So the centralized model

38:27versus the decentralizing.

38:30Then I think both have strengths and weaknesses.

38:32So I think anyone who says,

38:33okay, just decentralize everything,

38:34that'll make it more secure.

38:36I think that that's tough because,

38:38you know, I mean, the advantage of something like,

38:41you know, encryption is that, you know,

38:44we run the largest encrypted service

38:46in the world with WhatsApp.

38:47And we're one of the first to roll out

38:49a multi-platform encryption service.

38:52And that's something that I think was a big advance

38:55for the industry.

38:57And one of the promises that we can basically make

38:59because of that,

39:00our company doesn't see when you're sending

39:02an encrypted message,

39:04and an encrypted message,

39:05what the content is of what you're sharing.

39:07So that way, if someone hacks Meta's servers,

39:10they're not gonna be able to access,

39:13you know, the WhatsApp message that,

39:15you know, you're sending to your friend.

39:16And that I think matters a lot to people

39:19because obviously if someone is able to compromise

39:21a company's servers and that company has hundreds

39:23of millions or billions of people,

39:25then that ends up being a very big deal.

39:27The flip side of that is, okay,

39:29all the content is on your phone.

39:31You know, are you following security best practices

39:34on your phone?

39:35If you lose your phone, all your content is gone.

39:38So that's an issue.

39:39You know, maybe you go back up your content

39:41from WhatsApp or some other service

39:44in iCloud or something,

39:45but then you're just at Apple's whims

39:47about are they gonna go turn over the data

39:50to, you know, some government,

39:51or are they gonna get hacked?

39:53So a lot of the time it is useful

39:55to have data in a centralized place too,

39:58because then you can train systems

40:01that can just do much better personalization.

40:04I think that in a lot of cases,

40:07you know, centralized systems can offer,

40:09you know, especially if you're a serious company,

40:13you're running the state of the art stuff

40:15and you have red teams attacking your own stuff

40:19and you're putting out bounty programs

40:24and trying to attract some of the best hackers in the world

40:26to go break into your stuff all the time.

40:27So any system is gonna have security issues,

40:30but I think the best way forward

40:33is to basically try to be as aggressive

40:35and open about hardening the systems as possible,

40:37not trying to kind of hide

40:39and pretend that there aren't gonna be issues,

40:40which I think is over time

40:41why a lot of open source systems

40:43have gotten relatively more secure,

40:45because they're open and, you know,

40:46it's not rather than pretending

40:48that there aren't gonna be issues,

40:49just people surface them quicker.

40:50So I think you want to adopt that approach as a company

40:53and just constantly be hardening yourself.

40:56- Trying to stay one step ahead of the attackers.

41:00- It's an inherently adversarial space.

41:03- Yeah.

41:04- Right, I think it's an interesting,

41:04security is interesting

41:07because of the different kind of threats

41:09that we've managed over the last five years,

41:11there are ones where basically the adversaries

41:15keep on getting better and better.

41:16So trying to kind of interfere with,

41:19security is certainly one area of this.

41:23If you have like nation states

41:24that are trying to interfere in elections or something,

41:27like they're kind of evolving their tactics.

§06Transcript · 41:29–49:40

41:29Whereas on the other hand,

41:31I don't wanna be too simplistic about it,

41:33but like if someone is saying something hateful,

41:36people usually aren't getting smarter and smarter

41:38about how they say hateful things, right?

41:40So maybe there's some element of that,

41:42but it's a very small dynamic compared to,

41:46you know, how advanced attackers

41:47and some of these other places get over time.

41:49- I believe most people are good,

41:51so they actually get better over time

41:53at not being less hateful,

41:55'cause they realize it's not fun being hateful.

41:59That's at least the belief I have.

42:01But first, bathroom break.

42:04- Sure. - Okay.

42:05So we'll come back to AI,

42:08but let me ask some difficult questions now.

42:11Social Dilemma is a popular documentary

42:13that raised concerns about the effects of social media

42:16on society.

42:17You responded with a point by point rebuttal

42:19titled "What the Social Dilemma Gets Wrong."

42:23People should read that.

42:25I would say the key point they make

42:26is because social media is funded by ads,

42:29algorithms want to maximize attention and engagement,

42:33and an effective way to do so

42:36is to get people angry at each other,

42:38increase division, and so on.

42:40Can you steel man their criticisms and arguments

42:44that they make in the documentary

42:46as a way to understand the concern

42:48and as a way to respond to it?

42:51- Well, yeah, I think that that's a good conversation

42:55to have.

42:56I don't happen to agree with the conclusions,

43:00and I think that they make a few assumptions

43:02that are just very big jumps

43:06that I don't think are reasonable to make.

43:08But I understand overall why people would be concerned

43:13that our business model and ads in general,

43:18we do make more money

43:20as people use the service more in general, right?

43:23So as a kind of basic assumption,

43:26okay, do we have an incentive for people

43:28to build a service that people use more?

43:31Yes, on a lot of levels.

43:32I mean, we think what we're doing is good.

43:34So we think that if people are finding it useful,

43:37they'll use it more.

43:38Or if you just look at it as this sort of,

43:41if the only thing we cared about is money,

43:43which is not for anyone who knows me,

43:46but okay, we're a company.

43:47So let's say you just kind of simplified it down to that,

43:51then would we want people to use the services more?

43:53Yes.

43:55But then, and then you get to the second question,

43:57which is, does kind of getting people agitated

44:01make them more likely to use the services more?

44:07And I think from looking at other media in the world,

44:12especially TV and, you know, there's the old news adage,

44:17if it bleeds, it leads.

44:18Like, I think that this is, there are,

44:21I think there are a bunch of reasons

44:24why someone might think that

44:26that kind of provocative content

44:30would be the most engaging.

44:32Now, what I've always found is two things.

44:35One is that what grabs someone's attention in the near term

44:39is not necessarily something

44:40that they're going to appreciate having seen

44:43or going to be the best over the long term.

44:45So I think what a lot of people get wrong

44:47is that we're not, I'm not building this company

44:50to like make the most money

44:51or get people to spend the most time on this

44:53in the next quarter or the next year, right?

44:55I mean, I've been doing this for 17 years at this point,

44:58and I'm still relatively young,

45:00and I have a lot more that I wanna do

45:02over the coming decades.

45:03So like, I think that it's too simplistic to say,

45:08hey, this might increase time in the near term,

45:11therefore it's what you're gonna do,

45:13because I actually think a deeper look

45:15at kind of what my incentives are,

45:17the incentives of a company that are focused on the long term

45:20is to basically do what people

45:22are gonna find valuable over time,

45:24not what is gonna draw people's attention today.

45:26The other thing that I'd say is that

45:28I think a lot of times people look at this

45:31from the perspective of media,

45:33or kind of information or civic discourse,

45:37but one other way of looking at this

45:40is just that, okay, I'm a product designer, right?

45:42Our company, we build products,

45:45and a big part of building a product

45:47is not just the function and utility

45:48of what you're delivering,

45:50but the feeling of how it feels, right?

45:51And we spend a lot of time talking about virtual reality

45:55and how the kind of key aspect of that experience

45:58is the feeling of presence,

46:00which it's a visceral thing.

46:01It's not just about the utility that you're delivering,

46:03it's about like the sensation.

46:05And similarly, I care a lot about how people feel

46:10when they use our products,

46:11and I don't want to build products that make people angry.

46:15I mean, that's like not, I think,

46:16what we're here on this earth to do,

46:18is to build something that people spend a bunch of time doing

46:22and it just kind of makes them angrier to other people.

46:23I mean, I think that that's not good.

46:26That's not what I think would be

46:30sort of a good use of our time

46:31or a good contribution to the world.

46:33So, okay, it's like people,

46:35they tell us on a per content basis,

46:38does this thing, do I like it?

46:39Do I love it?

46:40Does it make me angry?

46:41Does it make me sad?

46:42And based on that,

46:44I mean, we choose to basically show content

46:47that makes people angry less,

46:49because of course, right?

46:51If you're designing a product

46:52and you want people to be able to connect

46:56and feel good over a long period of time,

46:59then that's naturally what you're gonna do.

47:02So, I don't know, I think overall,

47:04I understand at a high level,

47:10if you're not thinking too deeply about it,

47:13why that argument might be appealing.

47:16But I just think if you actually look

47:19at what our real incentives are,

47:20not just like, if we were trying to optimize

47:25for the next week, but like as people working on this,

47:28like why are we here?

47:30And I think it's pretty clear

47:32that that's not actually how you would wanna

47:34design the system.

47:35I guess one other thing that I'd say is that,

47:37while we're focused on the ads business model,

47:40I do think it's important to note that

47:43a lot of these issues are not unique to ads.

47:45I mean, so take like a subscription news business model,

47:47for example, I think that has,

47:50just as many potential pitfalls.

47:52Maybe if someone's paying for a subscription,

47:55you don't get paid per piece of content that they look at,

47:57but say for example, I think like a bunch

48:02of the partisanship that we see

48:04could potentially be made worse

48:07by you have these kind of partisan news organizations

48:12that basically sell subscriptions,

48:15and they're only gonna get people on one side

48:17to basically subscribe to them.

48:19So their incentive is not to print content

48:22or produce content that's kind of centrist

48:26or down the line either.

48:27I bet that what a lot of them find is that

48:30if they produce stuff that's kind of more polarizing

48:32or more partisan,

48:33then that is what gets them more subscribers.

48:36So I think that this stuff is all,

48:40there's no perfect business model.

48:41Everything has pitfalls.

48:43The thing that I think is great about advertising

48:46is it makes it to the consumer services free,

48:48which if you believe that everyone should have a voice

48:50and everyone should be able to connect,

48:52then that's a great thing,

48:53as opposed to building a luxury service

48:55that not everyone can afford.

48:57But look, I mean, every business model,

48:59you have to be careful

49:00about how you're implementing what you're doing.

49:02- You responded to a few things there.

49:04You spoke to the fact that

49:06there is a narrative of malevolence,

49:08like you're leaning into them making people angry

49:13just because it makes more money in the short term,

49:15that kind of thing.

49:16So you responded to that.

49:17But there's also a kind of reality of human nature.

49:22Just like you spoke about,

49:23there's fights, arguments we get in,

49:26and we don't like ourselves afterwards,

49:28but we got into them anyway.

49:30So our long-term growth is,

49:32I believe for most of us,

49:34has to do with learning,

49:36challenging yourself, improving,

49:39being kind to each other,

49:40finding a community of people

§07Transcript · 49:42–58:43

49:42that you connect with on a real human level,

49:47all that kind of stuff.

49:50But it does seem when you look at social media

49:54that a lot of fights break out,

49:56a lot of arguments break out,

49:58a lot of viral content ends up being

50:01sort of outrage in one direction or the other.

50:04And so it's easy from that to infer the narrative

50:08that social media companies

50:10are letting this outrage become viral.

50:13And so they're increasing the division in the world.

50:16I mean, perhaps you can comment on that

50:18or further, how can you be,

50:21how can you push back on this narrative?

50:25How can you be transparent about this battle?

50:28Because I think it's not just motivation or financials,

50:33it's a technical problem too,

50:36which is how do you improve

50:39long-term wellbeing of human beings?

50:43- I think that going through some of the design decisions

50:47would be a good conversation.

50:49But first I actually think,

50:51I think you acknowledge that,

50:54that narrative is somewhat anecdotal.

50:56And I think it's worth grounding this conversation

50:59in the actual research that has been done on this,

51:02which by and large finds that social media

51:07is not a large driver of polarization.

51:10And I mean, there's been a number of economists

51:14and social scientists and folks who have studied this.

51:17In a lot of polarization, it varies around the world.

51:21Social media is basically in every country,

51:23Facebook's in pretty much every country

51:24except for China and maybe North Korea.

51:27And you see different trends in different places

51:32where in a lot of countries polarization is declining,

51:37in some it's flat, in the US it's risen sharply.

51:41So the question is,

51:43what are the unique phenomena in the different places?

51:46And I think for the people who are trying to say,

51:47hey, social media is the thing that's doing this,

51:50I think that that clearly doesn't hold up

51:52because social media is a phenomenon

51:54that is pretty much equivalent

51:56in all of these different countries.

51:57And you have researchers like this economist at Stanford,

52:00Matthew Genskow, who's just written at length about this.

52:04And it's a bunch of books by political scientists,

52:10Ezra Klein and folks,

52:11why we're polarized basically goes through

52:13this decades long analysis in the US before I was born,

52:18basically talking about some of the forces

52:20in kind of partisan politics and Fox News

52:24and different things that predate the internet

52:26in a lot of ways that I think

52:28are likely larger contributors.

52:30So to the contrary on this,

52:32not only is it pretty clear that social media

52:35is not a major contributor,

52:37but most of the academic studies that I've seen

52:40actually show that social media use

52:42is correlated with lower polarization.

52:45Genskow, the same person who just did the study

52:48that I cited about longitudinal polarization

52:51across different countries,

52:53also did a study that basically showed

52:57that if you looked after the 2016 election in the US,

53:02the voters who were the most polarized

53:04were actually the ones who were not on the internet.

53:07So, and there have been recent other studies,

53:10I think in Europe and around the world,

53:12basically showing that as people stop using social media,

53:16they tend to get more polarized.

53:19Then there's a deeper analysis around,

53:21okay, well, what polarization actually isn't even one thing.

53:24'Cause having different opinions on something isn't,

53:27I don't think that that's by itself bad.

53:28What people who study this say is most problematic

53:33is what they call affective polarization,

53:35which is basically, do you have negative feelings

53:39towards people of another group?

53:41And the way that a lot of scholars study this

53:43is they basically ask a group,

53:46would you let your kids marry someone of group X?

53:50Whatever the groups are that you're worried

53:53that someone might have negative feelings towards.

53:55And in general, use of social media

53:58has corresponded to decreases

53:59in that kind of affective polarization.

54:01So I just wanna, I think we should talk

54:04to the design decisions and how we handle

54:06the kind of specific pieces of content.

54:10But overall, I think it's just worth grounding

54:13that discussion in the research that's existed

54:15that I think overwhelmingly shows

54:17that the mainstream narrative around this is just not right.

54:21- But the narrative does take hold

54:23and it's compelling to a lot of people.

54:27There's another question I'd like to ask you on this.

54:31I was looking at various polls and saw that you're

54:33one of the most disliked tech leaders today.

54:3854% unfavorable rating.

54:41Elon Musk is 23%.

54:43It's basically everybody has a very high unfavorable rating

54:46that are tech leaders.

54:48Maybe you can help me understand that.

54:50Why do you think so many people dislike you?

54:53Some even hate you.

54:56And how do you regain their trust and support?

54:59Given everything you just said,

55:00why are you losing the battle in explaining to people

55:08what actual impact social media has on society?

55:11- Well, I'm curious if that's a US survey or world.

55:16- It is US, yeah.

55:17- So I think that there's a few dynamics.

55:19One is that our brand has been somewhat uniquely challenged

55:24in the US compared to other places.

55:29It's not that there are, I mean,

55:29other countries we have issues too.

55:32But I think in the US there was this dynamic

55:35where if you look at like the net sentiment

55:38of kind of coverage or attitude towards us,

55:42before 2016, I think that there were probably

55:44very few months if any where it was negative.

55:47And since 2016, I think that there probably

55:49been very few months if any that it's been positive.

55:51- The politics.

55:53- So, but I think it's a specific thing.

55:55And this is very different from other places.

55:56So I think in a lot of other countries in the world,

55:59the sentiment towards meta and our services

56:02is extremely positive.

56:04In the US we have more challenges.

56:06And I think compared to other companies,

56:08you can look at certain industries,

56:12I think if you look at it from like a partisan perspective,

56:16not from like a political perspective,

56:18but just kind of culturally,

56:19it's like there are people

56:19who are probably more left of center

56:21and there are people who are more right of center

56:22and there's kind of blue America and red America.

56:25There are certain industries that I think

56:27maybe one half of the country

56:29has a more positive view towards than another.

56:32And I think we're in a,

56:33one of the positions that we're in

56:37that I think is really challenging

56:39is that because of a lot of the content decisions

56:42that we've basically had to arbitrate,

56:45and because we're not a partisan company, right?

56:49We're not a Democrat company or a Republican company.

56:52We're trying to make the best decisions we can

56:55to help people connect

56:56and help people have as much voice as they can

56:59while having some rules

57:01because we're running a community.

57:02The net effect of that is that

57:06we're kind of constantly making decisions

57:08that piss off people in both camps.

57:11And the effect that I've sort of seen

57:16is that when we make a decision

57:18that's a controversial one,

57:22that's gonna upset, say, about half the country,

57:26those decisions are all negative some,

57:30from a brand perspective,

57:31because it's not like,

57:33like if we make that decision in one way

57:35and say half the country is happy

57:37about that particular decision that we make,

57:39they tend to not say,

57:41"Oh, sweet, Meta got that one right."

57:43They're just like,

57:44"Ah, you didn't mess that one up."

57:46But their opinion doesn't tend to go up by that much.

57:48Whereas the people who kind of are on the other side of it

57:51are like, "God, how could you mess that up?

57:54Like, how could you possibly think

57:56that like that piece of content is okay

57:58and should be up and should not be censored?"

58:00Or, and so I think the,

58:03whereas if you leave it up and,

58:05or if you take it down,

58:09the people who thought it should be taken down,

58:10or it's like, "All right, fine, great.

58:12You didn't mess that one up."

58:14So our internal assessment of,

58:16and kind of analytics on our brand

58:17are basically any time one of these big controversial things

58:20comes up in society,

58:22our brand goes down with half of the country.

58:26And then like, if you,

58:27and then if you just kind of extrapolate that out,

58:29it's just been very challenging for us to try to navigate

58:33what is a polarizing country in a principled way,

58:36where we're not trying to kind of hew to one side

58:38or the other, we're trying to do what we think

58:40is the right thing.

58:41But that's what I think is the right thing

58:43for us to do though.

§08Transcript · 58:44–1:07:37

58:44So, I mean, that's what we'll try to keep doing.

58:47- Just as a human being, how does it feel though,

58:50when you're giving so much of your day-to-day life

58:53to try to heal division,

58:55to try to do good in the world, as we've talked about,

58:59that so many people in the US, the place you call home,

59:03have a negative view of you as a leader,

59:07as a human being and the company you love?

59:11- Well, I mean, it's not great, but I,

59:18I mean, look, if I wanted people to think positively

59:21about me as a person,

59:23I don't know, I'm not sure if you go build a company.

59:27I mean, it's like--

59:28- Or a social media company.

59:30It seems exceptionally difficult to do

59:32with a social media company.

59:32- Yeah, so, I mean, I don't know, there is a dynamic

59:36where a lot of the other people running these companies,

59:40internet companies, have sort of stepped back

59:44and they just do things that are sort of,

59:46I don't know, less controversial.

59:49And some of it may be that they just get tired over time,

59:52but it's, so I don't know, I think that,

59:57running a company is hard,

59:58building something at scale is hard.

59:59You only really do it for a long period of time

60:01if you really care about what you're doing.

60:04And yeah, so I mean, it's not great,

60:07but look, I think that at some level,

60:10whether 25% of people dislike you

60:14or 75% of people dislike you,

60:18your experience as a public figure is gonna be

60:21that there's a lot of people who dislike you, right?

60:23So I actually am not sure how different it is.

60:28Certainly, the country's gotten more polarized

60:32and we in particular have gotten more controversial

60:36over the last five years or so,

60:39but I don't know, I kind of think like as a public figure

60:45and leader of one of these enterprises--

60:48- Comes with a job.

60:49- Part of, yeah, part of what you do is like,

60:51and look, you can't just,

60:52the answer can't just be ignore it, right?

60:54Because like a huge part of the job is like,

60:56you need to be getting feedback and internalizing feedback

60:59on how you can do better.

61:00But I think increasingly what you need to do

61:02is be able to figure out,

61:04who are the kind of good faith critics

61:07who are criticizing you

61:09because they're trying to help you do a better job

61:12rather than tear you down.

61:13And those are the people who I just think

61:15you have to cherish and listen very closely

61:19to the things that they're saying,

61:20because I think it's just as dangerous

61:23to tune out everyone who says anything negative

61:25and just listen to the people who are kind of positive

61:29and support you as it would be psychologically

61:32to pay attention trying to make people

61:34who are never gonna like you, like you.

61:36So I think that's just kind of a dance

61:38that people have to do,

61:40but I mean, you kind of develop more of a feel for like,

61:44who actually is trying to accomplish

61:46the same types of things in the world

61:48and who has different ideas about how to do that

61:51and how can I learn from those people?

61:52And like, yeah, we get stuff wrong.

61:54And when the people whose opinions I respect

61:57call me out on getting stuff wrong,

61:59that hurts and makes me wanna do better.

62:02But I think at this point, I'm pretty tuned to just,

62:04all right, if someone, if I know

62:05they're kind of like operating in bad faith

62:08and they're not really trying to help,

62:10then I don't know, it doesn't,

62:13I think over time, it just doesn't bother you that much.

62:15- But you are surrounded by people

62:17that believe in the mission, that love you.

62:19Are there friends or colleagues in your inner circle

62:23you trust that call you out on your bullshit

62:26whenever you're thinking maybe misguided

62:28as it is for leaders at times?

62:30- I think we have a famously open company culture

62:33where we sort of encourage that kind of dissent internally,

62:39which is why there's so much material internally

62:42that can leak out with people sort of disagreeing

62:44is because that's sort of the culture.

62:47Our management team, I think it's a lot of people,

62:50there's some newer folks who come in,

62:51there's some folks who've kind of been there for a while,

62:54but there's a very high level of trust.

62:56And I would say it is a relatively

62:58confrontational group of people.

63:01And my friends and family, I think will push me on this.

63:04But look, it's not just,

63:06but I think you need some diversity, right?

63:09It can't just be people who are your friends and family.

63:13It's also, I mean, there are journalists or analysts

63:17or peer executives at other companies

63:22or other people who sort of are insightful

63:27about thinking about the world, certain politicians

63:30or people kind of in that sphere

63:32who I just think have like very insightful perspectives

63:36who even if they would,

63:39they come at the world from a different perspective,

63:41which is sort of what makes the perspective so valuable.

63:44But I think fundamentally

63:46we're trying to get to the same place

63:47in terms of helping people connect more,

63:50helping the whole world function better,

63:53not just one place or another.

63:55And I don't know, I mean, those are the people

63:59whose opinions really matter to me.

64:02And that's how I learn on a day-to-day basis.

64:05People are constantly sending me comments on stuff

64:07or links to things they found interesting.

64:10And I don't know, it's kind of constantly evolving

64:13this model of the world

64:14and kind of what we should be aspiring to be.

64:16- You've talked about, you have a famously open culture

64:20which comes with the criticism and the painful experiences.

64:25So let me ask you another difficult question.

64:31Frances Haugen, the Facebook whistleblower,

64:33leaked the internal Instagram research

64:35into teenagers and wellbeing.

64:38Her claim is that Instagram is choosing profit

64:41over wellbeing of teenage girls.

64:43So Instagram is quote, toxic for them.

64:46Your response titled,

64:48"What our research really says

64:51about teen wellbeing and Instagram,"

64:53says, "No, Instagram research shows

64:55that 11 of 12 wellbeing issues,

64:58teenage girls who said they struggle

65:02with those difficult issues

65:03also said that Instagram made them better

65:05rather than worse."

65:07Again, can you steal man and defend the point

65:10and Frances Haugen's characterization of the study

65:14and then help me understand the positive

65:17and negative effects of Instagram

65:19and Facebook on young people?

65:20- So there are certainly questions

65:24around teen mental health that are really important.

65:26It's hard to, as a parent, it's hard to imagine

65:29any set of questions that are sort of more important.

65:32I mean, I guess maybe other aspects of physical health

65:34or wellbeing are probably come to that level.

65:37But like, these are really important questions, right?

65:40Which is why we dedicate teams to studying them.

65:43I don't think the internet or social media

65:48are unique in having these questions.

65:49I mean, I think people,

65:51and there've been sort of magazines

65:53with promoting certain body types

65:55for women and kids for decades.

65:58But we really care about this stuff.

66:01So we wanted to study it.

66:02And of course, we didn't expect

66:05that everything was gonna be positive all the time.

66:07So, I mean, the reason why you study this stuff

66:08is to try to improve and get better.

66:10So, I mean, look, the place where I disagree

66:13with the characterization, first,

66:15I thought some of the reporting and coverage of it

66:18just took the whole thing out of proportion

66:20and that it focused on, as you said,

66:22I think there were like 20 metrics in there

66:24and on 18 or 19, the effect of using Instagram

66:27was neutral or positive on the teens' wellbeing.

66:30And there was one area where I think

66:34it showed that we needed to improve

66:35and we took some steps to try to do that

66:37after doing the research.

66:38But I think having the coverage just focus on that one

66:41without focusing on the,

66:43you know, I mean, I think an accurate characterization

66:45would have been that kids using Instagram,

66:47or not kids, teens,

66:49is generally positive for their mental health.

66:53But of course, that was not the narrative that came out.

66:55So I think it's hard to,

66:56that's not a kind of logical thing to straw man,

66:59but I sort of disagree, or steel man,

67:01but I sort of disagree with that overall characterization.

67:04I think anyone sort of looking at this objectively would.

67:08But then, you know, I mean,

67:11there is this sort of intent critique

67:15that I think you were getting at before,

67:16which says, you know,

67:17it assumes some sort of malevolence, right?

67:19It's like, which it's really hard for me to

67:23really wrap my head around this,

67:26because as far as I know,

67:29it's not clear that any of the other tech companies

67:31are doing this kind of research.

67:33So why the narrative should form that we did research,

67:37you know, because we were studying an issue,

§09Transcript · 1:07:38–1:16:36

67:38'cause we wanted to understand it to improve,

67:40and took steps after that to try to improve it,

67:43that your interpretation of that would be

67:46that we did the research

67:47and tried to sweep it under the rug.

67:49It just, it sort of is like,

67:53I don't know, it's beyond credibility to me,

67:55that like, that's the accurate description of the actions

67:59that we've taken compared to the others in the industry.

68:01So I don't know, that's kind of, that's my view on it.

68:05These are really important issues,

68:06and there's a lot of stuff

68:08that I think we're gonna be working on

68:09related to teen mental health for a long time,

68:11including trying to understand this better.

68:14And I would encourage everyone else in the industry

68:15to do this too.

68:16- Yeah, I would love there to be open conversations

68:21and a lot of great research being released internally,

68:25and then also externally.

68:27It doesn't make me feel good to see press

68:32obviously get way more clicks

68:35when they say negative things about social media.

68:38Let's, objectively speaking, I can just tell

68:41that there's hunger to say negative things

68:44about social media.

68:46And I don't understand how that's supposed to lead

68:50to an open conversation about the positives

68:53and the negatives, the concerns about social media,

68:56especially when you're doing that kind of research.

68:59I mean, I don't know what to do with that,

69:01but let me ask you as a father,

69:03there's a weight heavy on you

69:06that people get bullied on social networks.

69:10So people get bullied in their private life.

69:13But now, because so much of our life is in the digital world,

69:17the bullying moves from the physical world

69:19to the digital world.

69:21So you're now creating a platform

69:24on which bullying happens,

69:26and some of that bullying can lead to damage

69:30to mental health, and some of that bullying

69:32can lead to depression, even suicide.

69:36There's a weight heavy on you that people

69:39have committed suicide or will commit suicide

69:45based on the bullying that happens on social media.

69:48- Yeah, I mean, there's a set of harms

69:51that we basically track and build systems to fight against.

69:55And bullying and self-harm are,

70:00you know, I mean, these are some of the biggest things

70:03that we are most focused on.

70:06For bullying, like you say, it's gonna be,

70:14while this predates the internet,

70:18and it's probably impossible to get rid of all of it,

70:21you wanna give people tools to fight it,

70:24and you wanna fight it yourself.

70:27And you also wanna make sure that people have the tools

70:28to get help when they need it.

70:30So I think this isn't like a question of,

70:33you know, can you get rid of all bullying?

70:34I mean, it's like, all right.

70:36I mean, I have two daughters, and, you know,

70:39they fight and, you know, push each other around

70:43and stuff too, and the question is just,

70:44how do you handle that situation?

70:47And there's a handful of things that I think

70:50you can do.

70:51You know, we talked a little bit before around

70:54some of the AI tools that you can build

70:57to identify when something harmful is happening.

71:00It's actually, it's very hard in bullying,

71:01'cause a lot of bullying is very context-specific.

71:03It's not like you're trying to fit a formula of like,

71:07you know, if like looking at the different harms,

71:10you know, someone promoting a terrorist group

71:12is like probably one of the simpler things

71:14to generally find, because things promoting that group

71:16are gonna, you know, look a certain way

71:18or feel a certain way.

71:20Bullying could just be, you know,

71:21someone making some subtle comment about

71:24someone's appearance that's idiosyncratic to them.

71:26- And it could look at just like humor.

71:28So humor to one person could be destructive

71:31to another human being, yeah.

71:32- So with bullying, I think there are,

71:34there are certain things that you can find

71:37through AI systems, but I think it is

71:41increasingly important to just give people

71:43more agency themselves.

71:44So we've done things like making it so people

71:46can turn off comments or, you know,

71:48take a break from, you know,

71:50hearing from a specific person

71:52without having to signal at all

71:54that they're gonna stop following them

71:55or kind of make some stand that,

71:58okay, I'm not friends with you anymore,

71:59I'm not following you.

72:00I just like, I just don't wanna hear about this,

72:01but I also don't wanna signal at all publicly that,

72:06or to them that there's been an issue.

72:08And then you get to some of the more extreme cases

72:14like you're talking about, where someone is thinking about

72:16self-harm or suicide.

72:19And there, we've found that that is a place

72:24where AI can identify a lot,

72:26as well as people flagging things.

72:28You know, if people are expressing something

72:31that is, you know, potentially,

72:33they're thinking of hurting themselves,

72:35those are cues that you can build systems

72:37and, you know, hundreds of languages around the world

72:39to be able to identify that.

72:41And one of the things that I'm actually quite proud of

72:45is we've built these systems that I think are

72:48clearly leading at this point that not only identify that,

72:53but then connect with local first responders

72:57and have been able to save, I think at this point,

72:59it's, you know, in thousands of cases,

73:01be able to get first responders to people

73:04through these systems who really need them

73:06because of specific plumbing that we've done

73:09between the AI work and being able to communicate

73:11with local first responder organizations.

73:13And we're rolling that out in more places around the world.

73:15And I think the team that worked on that

73:18just did awesome stuff.

73:19So I think that that's a long way of saying,

73:22yeah, I mean, this is a heavy topic

73:25and there's, you want to attack it

73:27in a bunch of different ways.

73:28And also kind of understand that some of nature

73:33is for people to do this to each other,

73:36which is unfortunate, but you can give people tools

73:39and build things that help.

73:40- It's still one hell of a burden though.

73:43- A platform that allows people to fall in love

73:46with each other is also by nature going to be a platform

73:50that allows people to hurt each other.

73:52And when you're managing such a platform, it's difficult.

73:57And I think you spoke to it, but the psychology of that,

73:59of being a leader in that space of creating technology

74:02that's playing in this space, like you mentioned,

74:05psychology is really damn difficult.

74:10And I mean, the burden of that is just great.

74:13I just wanted to hear you speak to that point.

74:17I have to ask about the thing you've brought up a few times,

74:23which is making controversial decisions.

74:25Let's talk about free speech and censorship.

74:29So there are two groups of people pressuring meta on this.

74:33One group is upset that Facebook, the social network,

74:37allows misinformation in quotes to be spread.

74:40On the platform, the other group are concerned

74:42that Facebook censors speech by calling it misinformation.

74:46So you're getting it from both sides.

74:48You, in 2019, October at Georgetown University,

74:53eloquently defended the importance of free speech,

74:58but then COVID came and the 2020 election came.

75:04Do you worry that outside pressures from advertisers,

75:07politicians, the public have forced meta

75:09to damage the ideal of free speech that you spoke highly of?

75:13- Just to say some obvious things up front,

75:16I don't think pressure from advertisers

75:18or politicians directly in any way

75:21affects how we think about this.

75:22I think these are just hard topics.

75:25So let me just take you through our evolution

75:26from kind of the beginning of the company

75:28to where we are now.

75:29You don't build a company like this

75:31unless you believe that people expressing themselves

75:34is a good thing.

75:35So that's sort of the foundational thing.

75:38You can kind of think about our company as a formula

75:41where we think giving people voice

75:44and helping people connect creates opportunity.

75:47So those are the two things that we're always focused on

75:49are sort of helping people connect,

75:50we talked about that a lot,

75:52but also giving people voice

75:53and ability to express themselves.

75:55Then by the way, most of the time

75:56when people express themselves,

75:58that's not like politically controversial content,

76:00it's like expressing something about their identity

76:04that's more related to the avatar conversation

76:06we had earlier in terms of expressing some facet,

76:08but that's what's important to people on a day-to-day basis.

76:11And sometimes when people feel strongly enough

76:13about something, it kind of becomes a political topic.

76:16That's sort of always been a thing that we've focused on.

76:19There's always been the question of safety in this,

76:22which if you're building a community,

76:24I think you have to focus on safety.

76:26We've had these community standards from early on,

76:28and there are about 20 different kinds of harm

76:32that we track and try to fight actively.

76:34And we've talked about some of them already.

76:36So it includes things like bullying and harassment,

§10Transcript · 1:16:40–1:25:22

76:40it includes things like terrorism or promoting terrorism,

76:45inciting violence, intellectual property theft.

76:49And in general, I think call it about 18 out of 20 of those,

76:53there's not really a particularly polarized definition

76:57of that.

76:58I think you're not really gonna find many people

77:01in the country or in the world

77:03who are trying to say we should be

77:05fighting terrorist content less.

77:09I think that the content where,

77:11there are a couple of areas where I think

77:12this has gotten more controversial recently,

77:14which I'll talk about.

77:16And you're right, the misinformation is basically up there.

77:20And I think sometimes the definition of hate speech

77:21is up there too.

77:23But I think in general,

77:25most of the content that I think we're working on for safety

77:30is not actually, people don't kind of have these questions.

77:33So it's sort of this subset.

77:36But if you go back to the beginning of the company,

77:38this was sort of pre deep learning days.

77:42And therefore, it was me and my roommate Dustin joined me.

77:47And like, if someone posted something bad,

77:53it was the AI technology did not exist yet

77:57to be able to go basically look at all the content.

78:01And we were a small enough outfit

78:06that no one would expect that we could review it all.

78:08Even if like someone reported it to us,

78:10we basically did our best, right?

78:11It's like someone would report it

78:12and we try to look at stuff and deal with stuff.

78:16And for Cult, the first, I don't know,

78:21seven or eight years of the company,

78:23you know, we weren't that big of a company.

78:26You know, for a lot of that period,

78:27we weren't even really profitable.

78:28The AI didn't really exist to be able to do

78:30the kind of moderation that we do today.

78:32And then at some point,

78:34in kind of the middle of the last decade,

78:36that started to flip.

78:38And we, you know, we became,

78:41it got to the point where we were

78:43sort of a larger and more profitable company.

78:45And the AI was starting to come online

78:48to be able to proactively detect

78:50some of the simpler forms of this.

78:52So things like pornography,

78:54you could train an image classifier

78:57to identify what a nipple was,

78:59or you can fight against terrorist content.

79:01You still could- - There's actually

79:02papers on this, it's great.

79:03- Oh, of course there are. - Technical papers.

79:05- Of course there are.

79:06You know, those are relatively easier things

79:07to train AI to do than, for example,

79:10understand the nuances of what is inciting violence

79:14in a hundred languages around the world

79:15and not have the false positives of like,

79:20okay, are you posting about this thing

79:22that might be inciting violence?

79:24Because you're actually trying to denounce it,

79:26in which case we probably shouldn't take that down.

79:28Where if you're trying to denounce something

79:29that's inciting violence

79:30in some kind of dialect in a corner of India,

79:35as opposed to, okay, actually you're posting this thing

79:38because you're trying to incite violence.

79:39Okay, building an AI that can basically

79:42get to that level of nuance

79:43in all the languages that we serve

79:45is something that I think

79:47is only really becoming possible now,

79:49not towards the middle of the last decade.

79:51But there's been this evolution,

79:54and I think what happened,

79:56you know, people sort of woke up after 2016,

80:00and, you know, a lot of people are like,

80:02okay, the country is a lot more polarized,

80:04and there's a lot more stuff here than we realized.

80:08Why weren't these internet companies on top of this?

80:12And I think at that point,

80:15it was reasonable feedback that, you know,

80:20some of this technology had started becoming possible.

80:23And at that point, I really did feel like

80:26we needed to make a substantially larger investment.

80:28We'd already worked on this stuff a lot,

80:30on AI and on these integrity problems,

80:33but that we should basically invest,

80:36you know, have a thousand or more engineers

80:38basically work on building these AI systems

80:40to be able to go and proactively identify the stuff

80:42across all these different areas.

80:44Okay, so we went and did that.

80:46Now we've built the tools to be able to do that.

80:49And now I think it's actually a much more complicated set

80:51of philosophical rather than technical questions,

80:54which is the exact policies, which are okay.

80:57Now, the way that we basically hold ourselves accountable

81:02is we issue these transparency reports every quarter.

81:05And the metric that we track is for each of those

81:0720 types of harmful content,

81:11how much of that content are we taking down

81:13before someone even has to report it to us?

81:15Right, so how effective is our AI at doing this?

81:18But that basically creates this big question,

81:20which is, okay, now we need to really be careful

81:24about how proactive we set the AI

81:26and where the exact policy lines are

81:29around what we're taking down.

81:31It's certainly at a point now where, you know,

81:35I felt like at the beginning of that journey

81:37of building those AI systems,

81:39there was a lot of push.

81:43They're saying, okay, you've got to do more.

81:44There's clearly a lot more bad content

81:46that people aren't reporting or that you're not getting to,

81:49and you need to get more effective at that.

81:51And I was pretty sympathetic to that.

81:52But then I think at some point along the way,

81:54there started to be almost equal issues on both sides

81:58of, okay, actually you're kind of taking down

82:00too much stuff, right?

82:02Or some of the stuff is borderline

82:05and it wasn't really bothering anyone

82:07and they didn't report it.

82:09So is that really an issue that you need to take down?

82:13Whereas we still have the critique on the other side too,

82:15where a lot of people think we're not doing enough.

82:18So it's become, as we built the technical capacity,

82:21I think it becomes more philosophically interesting

82:25almost where you want to be on the line.

82:27And I just think like you don't want one person

82:32making those decisions.

82:33So we've also tried to innovate in terms of building out

82:36this independent oversight board,

82:37which has people who are dedicated to free expression,

82:40but from around the world,

82:42who people can appeal cases to.

82:44So a lot of the most controversial cases

82:46basically go to them and they make the final binding

82:48decision on how we should handle that.

82:50And then of course their decisions,

82:51we then try to figure out what the principles are

82:54behind those and encode them into the algorithms.

82:56- And how are those people chosen,

82:58which you're outsourcing a difficult decision.

83:01- Yeah, the initial people,

83:03we chose a handful of chairs for the group.

83:09And we basically chose the people

83:13for a commitment to free expression

83:16and a broad understanding of human rights

83:20and the trade-offs around free expression.

83:22So they're fundamentally people

83:23who are gonna lean towards free expression.

83:25- Towards freedom of speech.

83:26Okay, so there's also this idea of fact checkers,

83:29so jumping around to the misinformation questions,

83:32especially during COVID,

83:33which is an exceptionally, speaking of polarization.

83:36- Can I speak to the COVID thing?

83:38I mean, I think one of the hardest set of questions

83:40around free expression,

83:41'cause you asked about Georgetown,

83:42is my stance fundamentally changed?

83:44And the answer to that is no, my stance has not changed.

83:49It is fundamentally the same as when I was talking

83:52about Georgetown from a philosophical perspective.

83:56The challenge with free speech is that everyone agrees

84:01that there is a line where if you're actually

84:05about to do physical harm to people,

84:08that there should be restrictions.

84:10So I mean, there's the famous Supreme Court

84:13historical example of like,

84:15you can't yell fire in a crowded theater.

84:18The thing that everyone disagrees on

84:20is what is the definition of real harm?

84:22Where I think some people think,

84:24okay, this should only be a very literal,

84:27I mean, take it back to the bullying conversation

84:29we were just having, where is it just harm

84:32if the person is about to hurt themselves

84:34because they've been bullied so hard?

84:36Or is it actually harm as they're being bullied?

84:39And kind of at what point in the spectrum is that?

84:42And that's the part that there's not agreement on.

84:44But I think what people agree on pretty broadly

84:47is that when there is an acute threat,

84:49that it does make sense from a societal perspective

84:52to tolerate less speech that could be potentially harmful

84:57in that acute situation.

84:59So I think where COVID got very difficult is,

85:02I don't think anyone expected this to be going on for years,

85:06but if you'd kind of asked a priori,

85:10would a global pandemic where a lot of people are dying

85:14and catching this, is that an emergency

85:19that where you'd kind of consider it that,

85:22it's problematic to basically yell fire

§11Transcript · 1:25:25–1:34:15

85:25in a crowded theater,

85:26I think that that probably passes that test.

85:29So I think that it's a very tricky situation,

85:32but I think the fundamental commitment to free expression

85:37is there.

85:38And that's what I believe.

85:39And again, I don't think you start this company

85:41unless you care about people being able

85:42to express themselves as much as possible.

85:44But I think that that's the question, right?

85:48Is like, how do you define what the harm is

85:50and how acute that is?

85:52- And what are the institutions that define that harm?

85:55A lot of the criticism is that the CDC, the WHO,

85:59the institutions we've come to trust as a civilization

86:03to give the line of what is and isn't harm

86:07in terms of health policy have failed in many ways,

86:11in small ways, in big ways, depending on who you ask.

86:14And then the perspective of Meta and Facebook is like,

86:17well, where the hell do I get the information

86:20of what is and isn't misinformation?

86:22So it's a really difficult place to be in,

86:25but it's great to hear that you're leaning

86:26towards freedom of speech on this aspect.

86:30And again, I think this actually calls to the fact

86:32that we need to reform institutions

86:35that help keep an open mind of what is

86:37and isn't misinformation.

86:38And misinformation has been used to bully.

86:42On the internet, I mean, I just have,

86:45you know, I'm friends with Joe Rogan

86:46and he is called as a, I remember hanging out

86:50with him in Vegas and somebody yelled,

86:51"Stop spreading misinformation."

86:54I mean, and there's a lot of people that follow him

86:57that believe he's not spreading misinformation.

86:59Like you can't just not acknowledge the fact

87:02that there's a large number of people

87:05that have a different definition of misinformation.

87:08And that's such a tough place to be.

87:10Like who do you listen to?

87:11Do you listen to quote unquote experts?

87:14Who gets, as a person who has a PhD,

87:16I gotta say, I mean, I'm not sure I know

87:18what defines an expert, especially in a new,

87:24in a totally new pandemic or a new catastrophic event,

87:29especially when politics is involved

87:31and especially when the news or the media involved

87:35that can propagate sort of outrageous narratives

87:39and thereby make a lot of money.

87:40Like what the hell, where's the source of truth?

87:43And then everybody turns to Facebook.

87:45It's like, please tell me what the source of truth is.

87:48(laughing)

87:49- Well, I mean, well, how would you handle this

87:50if you were in my position?

87:52- It's very, very, very, very difficult.

87:55I would say,

87:56I would more speak about how difficult the choices are

88:02and be transparent about like,

88:04what the hell do you do with this?

88:05Like here, you got exactly, ask the exact question

88:08you just asked me, but to the broader public.

88:10Like, okay, yeah, you guys tell me what to do.

88:12So like crowdsource it.

88:14And then the other aspect is when you spoke

88:18really eloquently about the fact that

88:21there's this going back and forth

88:23and now there's a feeling like you're censoring

88:25a little bit too much.

88:26And so I would lean, I would try to be ahead of that feeling.

88:30I would now lean towards freedom of speech

88:32and say, you know, we're not the ones

88:33that are going to define misinformation.

88:36Let it be a public debate.

88:38Let the idea stand.

88:40And I actually place, you know, this idea of misinformation,

88:44I place the responsibility

88:46on the poor communication skills of scientists.

88:50They should be in the battlefield of ideas

88:52and everybody who is spreading information

88:57against the vaccine, they should not be censored.

89:00They should be talked with and you should show the data.

89:03You should have open discussion

89:04as opposed to rolling your eyes and saying, I'm the expert.

89:08I know what I'm talking about.

89:09No, you need to convince people.

89:11It's a battle of ideas.

89:13So that's the whole point of freedom of speech

89:15is the way to defeat bad ideas

89:17is with good ideas, with speech.

89:20So like the responsibility here falls

89:22on the poor communication skills of scientists.

89:26Thanks to social media, scientists are not communicators.

89:31They have the power to communicate.

89:34Some of the best stuff I've seen about COVID

89:36from doctors is on social media.

89:38It's a way to learn to respond really quickly,

89:41to go faster than the peer review process.

89:43And so they just need to get way better

89:45at that communication.

89:46And also by better, I don't mean just,

89:49convincing, I also mean speak with humility.

89:51Don't talk down to people, all those kinds of things.

89:54And as a platform, I would say,

89:56I would step back a little bit.

89:59Not all the way, of course,

90:00because there's a lot of stuff that can cause real harm

90:03as we've talked about,

90:04but you lean more towards freedom of speech

90:06because then people from a brand perspective

90:09wouldn't be blaming you for the other ills of society,

90:12which there are many.

90:14The institutions have flaws, the political divide.

90:19Obviously, politicians have flaws, that's news.

90:23The media has flaws that they're all trying to work with.

90:28And because of the central place of Facebook in the world,

90:31all of those flaws somehow kind of propagate to Facebook.

90:34And you're sitting there, as Plato, the philosopher,

90:38have to answer to some of the most difficult questions

90:40being asked of human civilization.

90:43So I don't know, maybe this is an American answer, though,

90:47to lean towards freedom of speech.

90:48I don't know if that applies globally.

90:50So yeah, I don't know.

90:52But transparency and saying,

90:55I think as a technologist,

90:57one of the things I sense about Facebook

90:59and matter when people talk about this company

91:02is they don't necessarily understand fully

91:05how difficult the problem is.

91:06You talked about AI has to catch a bunch of harmful stuff

91:10really quickly, just the sea of data you have to deal with.

91:14It's a really difficult problem.

91:16So any of the critics,

91:18if you just hand them the helm for a week,

91:21let's see how well you can do.

91:24To me, that's definitely something

91:28that would wake people up to how difficult this problem is

91:31if there's more transparency

91:32in saying how difficult this problem is.

91:35Let me ask you about, on the AI front,

91:37just 'cause you mentioned language and my ineloquence,

91:41translation is something I wanted to ask you about.

91:44And first, just to give a shout out to the supercomputer,

91:47you've recently announced the AI Research Supercluster, RSC.

91:51Obviously, I'm somebody who loves the GPUs.

91:54It currently has 6,000 GPUs.

91:57NVIDIA DGX A100s is the systems

92:01that have in total 6,000 GPUs.

92:04And it will eventually, maybe this year, maybe soon,

92:07will have 16,000 GPUs.

92:09So it can do a bunch of different kinds

92:11of machine learning applications.

92:15There's a cool thing on the distributed storage aspect

92:18and all that kind of stuff.

92:19So one of the applications

92:21that I think is super exciting is translation,

92:24real-time translation.

92:26I mentioned to you that having a conversation,

92:29I speak Russian fluently,

92:30I speak English somewhat fluently,

92:32and I'm having a conversation with Vladimir Putin,

92:34say, as a use case.

92:36Me as a user coming to you as a use case.

92:38We both speak each other's language.

92:42I speak Russian, he speaks English.

92:45How can we have that communication go well

92:47with the help of AI?

92:49I think it's such a beautiful

92:51and a powerful application of AI to connect the world,

92:54that bridge the gap, not necessarily between me and Putin,

92:57but people that don't have that shared language.

93:01Can you just speak about your vision with translation?

93:04'Cause I think that's a really exciting application.

93:06- If you're trying to help people connect

93:08all around the world,

93:09a lot of content is produced in one language

93:11and people in all these other places are interested in it.

93:14So being able to translate that

93:16just unlocks a lot of value on a day-to-day basis.

93:20And so the kind of AI around translation is interesting

93:24because it's gone through a bunch of iterations.

93:27But the basic state of the art

93:29is that you don't wanna go through

93:33different kind of intermediate symbolic

93:37representations of language or something like that.

93:42You basically wanna be able to map the concepts

93:46and basically go directly from one language to another.

93:49And you just can train bigger and bigger models

93:53in order to be able to do that.

93:54And that's where the research supercluster comes in

93:58is basically a lot of the trend in machine learning

94:01is just you're building bigger and bigger models

94:03and you just need a lot of computation to train them.

94:05So it's not that like the translation

94:08would run on the supercomputer,

94:09the training of the model,

94:11which could have billions or trillions of examples

94:15of just basically that,

§12Transcript · 1:34:18–1:42:27

94:18you're training models on this supercluster

94:22in days or weeks that might take

94:25a much longer period of time on a smaller cluster.

94:28So it just wouldn't be practical for most teams to do.

94:30But the translation work,

94:32we're basically getting from,

94:37you're able to go between about 100 languages

94:39seamlessly today to being able to go to about 300 languages

94:44in the near term.

94:46- So from any language to any other language.

94:48- Yeah, and part of the issue when you get closer to

94:51more languages is some of these get to be pretty,

94:57not very popular languages, right?

95:01Where there isn't that much content in them.

95:04So you end up having less data

95:07and you need to kind of use a model that you've built up

95:10around other examples.

95:12And this is one of the big questions around AI

95:14is like how generalizable can things be?

95:16And that I think is one of the things

95:18that's just kind of exciting here

95:19from a technical perspective.

95:21- But capturing, we talked about this with the metaverse,

95:23capturing the magic of human to human interaction.

95:26So me and Putin, okay?

95:29Again, this is-

95:30- I mean, it's a tough example

95:31'cause you actually both speak Russian and English.

95:33But in the future-

95:34- I see it as a Turing test of a kind

95:37because we would both like to have an AI that improves

95:40'cause I don't speak Russian that well.

95:42He doesn't speak English that well.

95:44It would be nice to outperform our abilities.

95:48And it sets a really nice bar

95:50because I think AI can really help in translation

95:53for people that don't speak the language at all.

95:55But to actually capture the magic of the chemistry,

96:00the translation,

96:01which would make the metaverse super immersive.

96:04I mean, that's exciting.

96:06You remove the barrier of language, period.

96:08- Yeah, so when people think about translation,

96:11I think a lot of that is,

96:12they're thinking about text to text.

96:14But speech to speech, I think, is a whole nother thing.

96:17And I mean, one of the big lessons on that,

96:19which I was referring to before is,

96:21I think early models, it's like, all right,

96:23they take speech, they translate it to text,

96:25translate the text to another language,

96:26and then kind of output that as speech in that language.

96:29And you don't wanna do that.

96:30You just wanna be able to go directly from speech

96:32in one language to speech in another language

96:34and build up the models to do that.

96:36And I mean, I think one of the,

96:39there have been,

96:40when you look at the progress in machine learning,

96:42there have been big advances in the techniques.

96:46Some of the advances in self-supervised learning,

96:51which I know you talked to Jan about,

96:52and he's like one of the leading thinkers in this area.

96:55I just think that that stuff is really exciting.

96:57But then you couple that with the ability

96:59to just throw larger and larger amounts of compute

97:02at training these models,

97:03and you can just do a lot of things

97:05that were harder to do before.

97:09But we're asking more of our systems too, right?

97:12So if you think about the applications

97:14that we're gonna need for the metaverse,

97:18or think about it, okay,

97:19so let's talk about AR here for a second.

97:21You're gonna have these glasses.

97:23They're gonna look,

97:24hopefully like a normal-ish looking pair of glasses,

97:28but they're gonna be able to put holograms in the world

97:31and intermix virtual and physical objects in your scene.

97:35And one of the things that's gonna be unique about this,

97:39compared to every other computing device

97:41that you've had before,

97:42is that this is gonna be the first computing device

97:45that has all the same signals

97:47about what's going on around you that you have.

97:49Right, so your phone,

97:50you can have it take a photo or a video,

97:54but I mean, these glasses are gonna,

97:56you know, whenever you activate them,

97:57they're gonna be able to see what you see

97:58from your perspective.

98:00They're gonna be able to hear what you hear

98:01because the microphones and all that

98:03are gonna be right around where your ears are.

98:05So you're gonna want an AI assistant

98:08that's a new kind of AI assistant

98:10that can basically help you process the world

98:13from this first-person perspective,

98:16or from the perspective that you have.

98:18And the utility of that is gonna be huge,

98:21but the kinds of AI models that we're gonna need

98:25are going to be just,

98:27I don't know, there's a lot that we're gonna need

98:30to basically make advances in.

98:31But I mean, but that's why I think these concepts

98:33of the metaverse and the advances in AI

98:36are so fundamentally interlinked

98:38that I mean, they're kind of enabling each other.

98:42- Yeah, like the world builder is a really cool idea.

98:45Like you can be like a Bob Ross,

98:47like I'm gonna put a little tree right here.

98:49- Yeah. - I need a little tree.

98:50It's missing a little tree.

98:51And then, but at scale,

98:52like enriching your experience in all kinds of ways.

98:55You mentioned the assistant too.

98:56That's really interesting

98:58how you can have AI assistants helping you out

99:00on different levels of sort of intimacy of communication.

99:04It could be just like scheduling

99:05or it could be like almost like therapy.

99:08Clearly I need some.

99:09So let me ask you,

99:11you're one of the most successful people ever.

99:14You've built an incredible company

99:16that has a lot of impact.

99:18What advice do you have for young people

99:21today how to live a life they can be proud of?

99:25How to build something

99:27that can have a big positive impact on the world?

99:31- Well, let's break that down

99:37'cause I think you proud of,

99:39have a big positive impact.

99:41- Wow, you're actually listening.

99:42- And how to live your life

99:43are actually three different things

99:45that I think, I mean, they could line up,

99:48but, and also like what age of people are you talking to?

99:52'Cause I mean, I can like--

99:53- High school and college.

99:54So you don't really know what you're doing,

99:56but you dream big

99:58and you really have a chance to do something unprecedented.

100:02- Yeah.

100:03So I guess just-- - Also for people my age.

100:06- Okay, so let's maybe start with

100:08the kind of most philosophical and abstract version of this.

100:12Every night when I put my daughters to bed,

100:16we go through this thing

100:17and like, let's say that they call it the good night things

100:21'cause we're basically what we talk about at night.

100:25And I just, I go through with them.

100:29- Sounds like a good show.

100:30- It's the good night things.

100:32Yeah, Priscilla's always asking,

100:33she's like, "Can I get good night things?"

100:35Like, I don't know, you go to bed too early.

100:37But it's,

100:37but I basically go through with Max and Augie,

100:46what are the things that are most important in life?

100:48Right, that I just, it's like,

100:50what do I want them to remember

100:51and just have like really ingrained in them as they grow up?

100:53And it's health, right?

100:56Making sure that you take care of yourself

100:58and keep yourself in good shape,

101:00loving friends and family, right?

101:02Because having the relationships, the family

101:06and making time for friends,

101:08I think is perhaps one of the most important things.

101:12And then the third is maybe a little more amorphous,

101:16but it is something that you're excited about

101:18for the future.

101:19And when I'm talking to a four-year-old,

101:21often I'll ask her what she's excited about

101:23for tomorrow or the week ahead.

101:25But I think for most people, it's really hard.

101:29I mean, the world is a heavy place.

101:31And I think like the way that we navigate it

101:34is that we have things that we're looking forward to.

101:37So whether it is building AR glasses for the future,

101:41or being able to celebrate my 10-year wedding anniversary

101:45with my wife that's coming up.

101:47It's like, I think people,

101:49you have things that you're looking forward to.

101:51Or for the girls, it's often,

101:53I wanna see mom in the morning, right?

101:55But it's like, that's a really critical thing.

101:57And then the last thing is I ask them every day,

102:00what did you do today to help someone?

102:02Because I just think that that's a really critical thing

102:07is like, it's easy to kind of get caught up in yourself

102:10and kind of stuff that's really far down the road.

102:14But did you do something just concrete today

102:17to help someone?

102:18And it can just be as simple as,

102:19okay, yeah, I helped set the table for lunch.

102:23Or this other kid in our school

102:26was having a hard time with something

102:27and I helped explain it to him.

§13Transcript · 1:42:29–1:50:47

102:29But those are, that's sort of like,

102:32if you were to boil down my overall life philosophy

102:36into what I try to impart to my kids,

102:40those are the things that I think are really important.

102:43So, okay, so let's say college.

102:44So if you're graduating college,

102:45probably more practical advice,

102:47someone who's very focused on people.

102:53And I think the most important decision

102:57you're probably gonna make if you're in college

102:59is who you surround yourself with,

103:01because you become like the people

103:02you surround yourself with.

103:04And I sort of have this hiring heuristic at Metta,

103:12which is that I will only hire someone to work for me

103:16if I could see myself working for them.

103:19Not necessarily that I want them to run the company

103:21'cause I like my job,

103:22but in an alternate universe,

103:24if it was their company

103:25and I was looking to go work somewhere,

103:28would I be happy to work for them?

103:29And I think that that's a helpful heuristic

103:32to help balance.

103:35And when you're building something like this,

103:36there's a lot of pressure to,

103:38you wanna build out your teams

103:39because there's a lot of stuff that you need to get done.

103:41And everyone always says, don't compromise on quality,

103:43but there's this question of,

103:44okay, how do you know that someone is good enough?

103:46And I think my answer is,

103:48I would want someone to be on my team

103:51if I would work for them.

103:52But I think that's actually a pretty similar answer

103:55to if you were choosing friends

103:59or a partner or something like that.

104:01So when you're kind of in college,

104:04trying to figure out what your circle is gonna be,

104:05trying to figure out,

104:06you're evaluating different job opportunities,

104:10who are the people,

104:11even if they're gonna be peers in what you're doing,

104:14who are the people who in an alternate university,

104:17you would wanna work for them

104:18because you think you're gonna learn a lot from them

104:20because they are kind of values aligned

104:24on the things that you care about

104:25and they're gonna push you,

104:28but also they know different things

104:29and have different experiences

104:30that are kind of more of what you wanna become like

104:32over time.

104:33So I don't know,

104:34I think probably people are too,

104:36in general, objective focused

104:39and maybe not focused enough on the connections

104:42and the people who they're basically

104:45building relationships with.

104:46- I don't know what it says about me,

104:48but my place in Austin now has seven-legged robots.

104:53So I'm surrounding myself by robots,

104:55which is probably something I should look into.

104:59What kind of world would you like

105:01to see your daughters grow up in,

105:03even after you're gone?

105:06- Well, I think one of the promises of all this stuff

105:08that is getting built now

105:10is that it can be a world where more people

105:14can just live out their imagination.

105:19One of my favorite quotes,

105:20I think it was attributed to Picasso,

105:22it's that all children are artists

105:24and the challenge is how do you remain one

105:25when you grow up?

105:26And if you have kids,

105:29this is pretty clear,

105:30they just have wonderful imagination

105:32and they're just like,

105:33they have wonderful imaginations.

105:36And part of what I think is gonna be great

105:38about the creator economy and the metaverse

105:41and all this stuff is this notion around

105:43that a lot more people in the future

105:46are gonna get to work doing creative stuff

105:48than what I think today we would just consider

105:51traditional labor or service.

105:53And I think that that's awesome.

105:56And that's what a lot of what people are here to do

106:00is collaborate together, work together,

106:03think of things that you wanna build and go do it.

106:06And I don't know,

106:08one of the things that I just think is striking,

106:09so I teach my daughters some basic coding with Scratch.

106:13I mean, they're still obviously really young,

106:15but I think of coding as building, right?

106:18It's like when I'm coding,

106:19I'm like building something that I want to exist.

106:22But my youngest daughter,

106:25she's very musical and pretty artistic

106:29and she thinks about coding as art.

106:32She calls it code art, not the code,

106:35but the output of what she is making.

106:37It's like, she's just very interesting visually

106:39in what she can kind of output and how it can move around.

106:42And do we need to fix that?

106:45Are we good?

106:45- What happened?

106:47Do we have to clap?

106:48- Yeah. - Alexa.

106:49- Yeah, so I was just talking about

106:51Augie and her code art,

106:53but I mean, to me, this is like a beautiful thing, right?

106:56The notion that like,

106:58for me coding was this functional thing and I enjoyed it.

107:01And it like helped build something utilitarian,

107:04but that for the next generation of people,

107:06it will be even more an expression

107:10of their kind of imagination and artistic sense

107:14for what they want to exist.

107:15So I don't know if that happens,

107:17if we can help bring about this world where,

107:21you know, a lot more people can,

107:23that that's like their existence going forward

107:25is being able to basically create and live out,

107:31you know, in all these different kinds of art.

107:32I just think that that's like a beautiful

107:34and wonderful thing and will be very freeing for humanity

107:37to spend more of our time on the things that matter to us.

107:40- Yeah, allow more and more people to express their art

107:43in the full meaning of that word.

107:44- Yeah.

107:45- That's a beautiful vision.

107:46We mentioned that you are mortal.

107:49Are you afraid of death?

107:51Do you think about your mortality?

107:53And are you afraid of it?

108:01You didn't sign up for this on a podcast, did you?

108:03- No, I mean, it's an interesting question.

108:05I mean, I'm definitely aware of it.

108:08I do a fair amount of like extreme sport type stuff.

108:14So, so like, so I'm definitely aware of it.

108:20- Yeah.

108:21And you're flirting with it a bit.

108:23- I train hard.

108:25I mean, so it's like, if I'm gonna go out

108:27in like a 15 foot wave.

108:29- Go out big.

108:30- Then, well, then it's like, all right,

108:32I'll make sure we have the right safety gear

108:33and like make sure that I'm like used to that spot

108:36and all that stuff.

108:37But like, but yeah, I mean, you--

108:40- The risk is still there.

108:41- It takes some head blows along the way.

108:42- Yes.

108:43- But definitely aware of it.

108:46Definitely would like to stay safe.

108:50I have a lot of stuff that I wanna build and wanna--

108:53- Does it freak you out that it's finite though?

108:56That there's a deadline when it's all over?

109:00And that there'll be a time when your daughters are around

109:03and you're gone?

109:05- I don't know, that doesn't freak me out.

109:07I think...

109:07Constraints are helpful.

109:16- Yeah.

109:17Yeah, the finiteness makes ice cream taste more delicious

109:21somehow, the fact that it's gonna be over.

109:23There's something about that with the metaverse too.

109:25You want, we talked about this identity earlier,

109:28like having just one, like NFTs.

109:30There's something powerful about the constraint

109:34of finiteness or uniqueness.

109:36That this moment is singular in history.

109:39- But I mean, a lot of, as you go through different waves

109:42of technology, I think a lot of what is interesting

109:43is what becomes in practice infinite,

109:48or kind of there can be many, many of a thing,

109:51and then what ends up still being constrained.

109:53So the metaverse should hopefully allow

109:58a very large number, or maybe in practice,

110:04hopefully close to an infinite amount of expression

110:06and worlds, but we'll still only have

110:09a finite amount of time.

110:11- Yes.

110:12- I think, living longer I think is good.

110:17And obviously all of my, our philanthropic work is,

110:21it's not focused on longevity, but it is focused

110:24on trying to achieve what I think is a possible goal

110:28in this century, which is to be able to cure,

110:30prevent, or manage all diseases.

110:32So I certainly think people kind of getting sick

110:36and dying is a bad thing, because,

110:37and I'm dedicating almost all of my capital

110:40towards advancing research in that area

110:43to push on that, which I mean, we could do a whole,

110:45another one of these podcasts about that.

110:46- Exactly.

110:47- Because that's a fascinating topic.

§14Transcript · 1:50:49–2:00:06

110:49I mean, this is with your wife, Priscilla Chan,

110:51you formed the Chan Zuckerberg Initiative,

110:54gave away 99%, or pledged to give away 99%

110:57of Facebook non-meta shares.

110:59I mean, like you said, we could talk forever

111:02about all the exciting things you're working on there,

111:06including the sort of moonshot of eradicating disease

111:11by the mid-century mark, or--

111:13- I don't actually know if you're gonna ever eradicate it,

111:15but I think you can get to a point where you

111:18can either cure things that happen, right?

111:20So people get diseases, but you can cure them.

111:22Prevent is probably closest to eradication.

111:25Or just be able to manage as sort of like

111:27ongoing things that are not gonna ruin your life.

111:32And I think that that's possible.

111:34I think saying that there's gonna be no disease at all

111:37probably is not possible within the next several decades.

111:41- Basic thing is increase the quality of life.

111:43- Yeah.

111:44- And maybe keep the finiteness, because it tastes,

111:47it makes everything taste more delicious.

111:50- Yeah.

111:50- Maybe that's just being a romantic 20th century human.

111:54- Maybe, but I mean, but it was an intentional decision

111:57to not focus on our philanthropy on like

112:00explicitly on longevity or living forever.

112:03- Yes.

112:04If at the moment of your death, and by the way,

112:09I like that the lights went out

112:11when we started talking about death,

112:13you get to meet--

112:14- It does make it a lot more dramatic.

112:15- It does.

112:16(laughs)

112:17I should get closer to the mic.

112:19At the moment of your death, you get to meet God,

112:22and you get to ask one question.

112:26What question would you like to ask?

112:28Or maybe a whole conversation, I don't know, it's up to you.

112:32It's more dramatic when it's just one question.

112:35- Well, if it's only one question, and I died,

112:40I would just wanna know that Priscilla

112:45and my family, like if they were gonna be okay.

112:49That might depend on the circumstances of my death,

112:54but I think that in most circumstances that I can think of,

112:58that's probably the main thing that I would care about.

113:01- Yeah, I think God would hear that question

113:02and be like, all right, fine, you get in.

113:04That's the right question to ask.

113:06- Is it? I don't know.

113:07- The humility and selfishness, all right, you're in.

113:10- I mean, but, well, maybe--

113:14- You're gonna be fine, don't worry, you're in.

113:16- But I mean, one of the things that I struggle with,

113:18at least, is on the one hand, that's probably the most,

113:23the thing that's closest to me

113:25and maybe the most common human experience,

113:29but I don't know, one of the things that I just struggle with

113:32in terms of running this large enterprise is like,

113:36should the thing that I care more about be

113:42that responsibility?

113:44And I think it's shifted over time.

113:49I mean, before I really had a family

113:52that was the only thing I cared about,

113:53and at this point, I mean, I care deeply about it,

113:58but yeah, I think that that's not as obvious of a question.

114:04- Yeah, we humans are weird.

114:07You get this ability to impact millions of lives,

114:12and it's definitely something, billions of lives,

114:15it's something you care about,

114:16but the weird humans that are closest to us,

114:21those are the ones that mean the most,

114:23and I suppose that's the dream of the metaverse,

114:26is to connect, form small groups like that,

114:29where you can have those intimate relationships.

114:31Let me ask you the big, ridiculous--

114:33- One, to be able to be close,

114:36not just based on who you happen to be next to.

114:39I think that's what the internet is already doing,

114:41is allowing you to spend more of your time

114:44not physically proximate.

114:46I mean, I always think, when you think about the metaverse,

114:49people ask this question about the real world.

114:52It's like, the virtual world versus the real world.

114:54And it's like, no, the real world is a combination

114:58of the virtual world and the physical world,

115:00but I think over time, as we get more technology,

115:04the physical world is becoming less of a percent

115:06of the real world.

115:08And I think that that opens up a lot of opportunities

115:10for people, 'cause you can work in different places,

115:13you can stay closer to people who are in different places.

115:18I think that's good.

115:19- Removing barriers of geography,

115:21and then barriers of language, that's a beautiful vision.

115:24Big, ridiculous question.

115:27What do you think is the meaning of life?

115:29(silence)

115:31- I think that, well, there are probably a couple

115:46of different ways that I would go at this.

115:51But I think it gets back to this last question

115:53that we talked about, about the duality between,

115:56you have the people around you who you care

115:59the most about, and then there's this bigger thing

116:03that maybe you're building.

116:04And I think that in my own life, I think about this tension,

116:09but I started this whole company, and my life's work

116:12is around human connection.

116:15So I think it's intellectually, probably the thing

116:20that I go to first is just that human connection

116:27is the meaning.

116:28And I think that it's a thing that our society

116:33probably systematically undervalues.

116:37I just remember when I was growing up and in school,

116:42it's like, do your homework and then go play

116:43with your friends after.

116:45And it's like, no, what if playing with your friends

116:47is the point?

116:48- That sounds like an argument your daughters would make.

116:52- Well, I mean, I don't know, I just think it's interesting.

116:54- Like, the homework doesn't even matter, man.

116:56- Well, I think it's interesting because it's,

116:58people, I think people tend to think about that stuff

117:03as wasting time, or that's what you do in the free time

117:07that you have, but what if that's actually the point?

117:11So that's one.

117:12But here's maybe a different way of counting out this,

117:14which is maybe more religious in nature.

117:17I mean, I always, there's a rabbi who I've studied with

117:25who kind of gave me this, we were talking through Genesis

117:29and the Bible and the Torah,

117:31and they're basically walking through, it's like,

117:36okay, you go through the seven days of creation,

117:40and it's basically, it's like,

117:45why does the Bible start there?

117:48Right, so it could have started anywhere, right,

117:49in terms of like how to live.

117:52But basically it starts with talking about

117:54how God created people in his, her image.

117:58But the Bible starts by talking about

118:02how God created everything.

118:04So I actually think that there's like a compelling argument

118:09that I think I've always just found meaningful

118:13and inspiring, that a lot of the point

118:18of what sort of religion has been telling us

118:23that we should do is to create and build things.

118:28So these things are not necessarily at odds.

118:32I mean, I think like, I mean, that's,

118:34and I think probably to some degree,

118:36you'd expect me to say something like this

118:37because I've dedicated my life to creating things

118:39that help people connect.

118:40So I mean, that's sort of the fusion of,

118:42I mean, getting back to what we talked about earlier,

118:45it's, I mean, what I studied in school

118:46or psychology and computer science, right?

118:48So it's, I mean, these are like the two themes

118:50that I care about, but I don't know, for me,

118:54that's what, that's kind of what I think about.

118:56That's what matters.

118:57- To create and to love,

119:00which is the ultimate form of connection.

119:03I think this is one hell of an amazing replay experience

119:07in the metaverse.

119:08So whoever is using our avatars years from now,

119:12I hope you had fun and thank you for talking today.

119:14- Thank you.

119:15- Thanks for listening to this conversation

119:18with Mark Zuckerberg.

119:19To support this podcast,

119:20please check out our sponsors in the description.

119:23And now let me leave you with the end of the poem,

119:27If by Roger Kipling.

119:29If you can talk with crowds and keep your virtue

119:34or walk with Kings, now lose the common touch.

119:37If neither foes nor loving friends can hurt you.

119:41If all men count with you, but none too much.

119:47If you can fill the unforgiving minute

119:49with 60 seconds worth of distance run,

119:52yours is the earth and everything that's in it.

119:56And which is more, you'll be a man, my son.

119:59Thank you for listening and hope to see you next time.

120:04(upbeat music)

120:06(upbeat music)

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