# The Intersection of AI, Culture, and Human Personality

**Podcast:** a16z Podcast
**Published:** 2026-04-16

## Transcript

It's funny how the internet now everybody can comment on everything.
Every technology cycle to me is increasingly harder because you're probably going into a different part of how the human mind operates.
Right now we're like developing personality.
That's that's insane.
There's technology, there's culture, which is collective, and then there's our individual progress as a human species.
Culture's changing, technology's improving.
Where are we as people?
I can't believe the scale of which we're at now.
Like it's absolutely unbelievable.
I was at OpenAI.
We were discussing a bunch of things around how do you think about personality development of models, and these are really technically hard problems.
I think the number one challenge, even OpenAI mentioned, is that how do we make the power of the models more easily accessible and useful in terms of what they can do?
And I think this is happening with agents, but it still seems very primitive and very inaccessible to a lot of individuals.
I think that the number one way you change the NPS of AI is you make important things cheap quickly.
Shakespeare argued brevity is the soul of wit.
Prediction markets bet that crowds know the future better than experts, and dating apps turn the most universal human desire into a design problem that technology may have made worse, not better.
These three ideas seem unrelated, but they share a root.
The gap between what people know formally and what they understand intuitively.
Economists called this tacit knowledge.
It's a knack for reading a room, fixing an engine, or sensing when a product is right before the data confirms it.
Most of Silicon Valley still rewards the formal kind.
But something is shifting, and one of the sharpest observers of that shift has been writing about it online under a Shakespeare avatar.
I speak with Signal, online commentator, alongside A16Z general partner, Anisha Charia.
You're live with Signal, the great culture commentator of our time.
You have opinions on everything from you know what's happening in AI, both as a consumer, but also the industry to what's happening in all the big tech companies to what's happened in dating markets more broadly, to how the product should be developed.
There's no commentator like you.
How do you sort of make sense of yourself on the internet in terms of how you thread these topics together?
What sort of threads it all?
I mean, I could have an opinion on Iran and dating at the same time.
Within minutes maybe even Iranian dating.
Like you're like, by the way.
How does it work there?
Are they using Tinder?
I don't know.
I mean, there's probably several jokes about there about love bombing and stuff.
All right.
I apologize.
Don't apologize.
Okay, I have this weird tendency to where I like to add humor into things that are maybe not inappropriate.
Anyway, I think look, it's funny how the internet now everybody can comment on everything.
Yeah.
There's a lot of people that have a great perspective in a singular dimension.
Got Ben Thompson writing about technology and markets.
And if you want to have an analysis of an earnings report of Microsoft, I mean, who better in the world than Ben Thompson?
I mean, you can you can Packy writes about deep tech and crazy, I think 40-page papers about industries and things, and really fun to read, really great things.
What I noticed is like I've been in technology for such a long time, since I was a kid.
And I'm particularly fascinated with culture in general as well.
And I think that intersection of tech and culture is so fascinating to me.
And I like to relate everything back to computer science and how I've learned about the world through computer science and computers in general.
And I think all my tweets and things are really, in essence, relating the idea of life to technology and culture to technology in maybe an interesting or this is how my mind works.
I think my writing is all a reflection of the prompts that happen in my brain that get translated somehow into words that are in the right order that other people can interpret and therefore have a reaction to and maybe generate a little bit of hate online or a little bit of love.
And I think that that's actually quite beautiful that world.
I do have a Shakespeare profile photo.
Exactly.
Um, I think that that's been great.
I grew up playing a game called SimCity, and in SimCity you can increase the simulation speeds.
There's a button that allows you to increase the simulation of the city and the cars move faster and the people move faster and the disasters happen faster and everything is just increased.
And I feel like in the recent, maybe obviously in the last 20 years with respect to iPhone and whatnot, but man, in the last two, three, four years, holy shit.
Who the hell hit the 100X speed?
Yeah.
Like it feels ridiculous.
Like if I talk to somebody that something happened last month, it feels like it happened like 10 years ago.
Nicholas Maduro got pulled from Venezuela and brought to America in the most amazing outfit.
And people forgot about this.
Like it's just incredibly fascinating the way that the world is moving so fast and technology is accelerating that.
And if it's the fuel that is empowering that engine, and I don't know what we did, but it's moving really, really fast.
And then do you think if I was to almost separate the three ideas, you know, there's technology, there's culture, which is collective, and then there's this sort of however you measure our individual progress as a human species.
Culture's changing, technology is improving.
Where are we as people?
Are we more spiritually mature, less spiritually mature than we were 50 years ago, 500 years ago, 5,000 years ago, or are we just basically, you know, Neanderthals with iPhones?
I think generally technology should help us understand ourselves in a better way, such that we are able to have intellectual, spiritual potential growth as a species, as a collective and the individual, I suspect.
And I think I firmly believe that I'm like pro technology helping achieve that.
I love using AI to be able to understand myself.
Like if I say something, it's like, wait, does this make sense?
Is this more interesting?
Like, how do I personally think about it?
What am I missing?
And those are really things that help me grow intellectually, spiritually, personally, relationships, all of those things.
So inherently, I mean, if I understand your question correctly, it's more like these things are really helping us experience ourselves much better.
And I think that probably is the greatest achievement you can possibly have.
I mean, we're tool builders.
And every tool that we've ever built has helped us progress as a human species or individually, whether it's art or the wheel or whatever.
And I can't believe that the scale at which we're at now, right?
Like it's absolutely unbelievable.
And I think what's shocking to me is that the collective has not caught on yet.
Do you think the norms around AI relationships with boyfriend, girlfriend, or just best friendships are going to be something in the next five to ten years extreme to a degree that seems unimaginable right now for the average person?
Or what do you think?
When you have ease of access and reward structures around it and a human desire paired with it that's deep, I think you get some interesting outcomes.
And the desire and the pursuit of connection is an incredible and important element of any human's existence.
And the idea that AI can help you facilitate that with depth and scale and ever-ending like AI doesn't get tired.
What else is surprising you most about how people are interacting with AI, particularly the different models, or what are you observing as you're looking at the landscape and trying to make sense of where things are going?
Well, first of all, I don't think most people are utilizing them anything beyond the basics.
Like it's fascinating to me that every single time we're focused on really advanced capability demonstration.
Holy crap, this is a PhD researcher or whatever.
Yeah, I don't think most people are utilizing in such a fashion, obviously.
And I think most people are utilizing them for very, very, very basic tasks.
And so I think we're in like the stone ages of how people view and perceive and use these things, even though there's a billion people utilizing them, but they're not utilizing them to the full of capabilities.
Like I think the number one challenge for even I think OpenAI mentioned this is that how do we make this stuff the power of the models more easily accessible and useful in terms of what they can do?
And I think this is happening with agents.
It's happening today, but it still seems very primitive and very inaccessible to a lot of individuals.
I think this is what I personally like to think about this because the way that I like to think about the world, my one of my favorite Shakespeare quotes, and this is why the Shakespeare picture exists, is brevity is the soul of wit.
And Shakespeare was able to capture an essence of the world in very simple, like not simple terminology, maybe I don't know back then it was simple, but in a few words or a few sentences.
And I think we need to make this stuff much more easily accessible and useful for individuals.
I don't know how that will be, what that will look like, but it's certainly something that I love to think about personally.
And I don't know where we'll end up, but I view it more as an art than a science at the moment.
Yeah.
But it's cool.
It's a fun time to exist as a technologist.
A lot of people are wondering what to even work on in the age of sort of the big labs, like what to start, how to think about what could be a real company versus something that they'll end up doing or what's just worth doing.
How have you thought about it or how do you advise people to think about that?
A lot of AI today is very much the big labs kind of are dominating consumer territory when it's open AI and anthropic.
And then tons and tons of people trying to find a business use case for it in various verticals.
It's interesting.
I personally focus on what I'm passionate about.
Like I was at a demo day or whatever.
There's a lot of individuals who I thought clearly they were they found the idea through AI to work out what to work on.
It's fascinating.
I was like, are you really interested in real estate?
Like, I don't know.
Do you want to spend your time working on this?
And is this an interesting problem?
Like, I don't think about as from a technology perspective.
Like, screw AI.
I don't care about what area are you interested in.
What thing drives you?
If I were an investor, I think that's probably the only thing that matters is are you gonna keep going into this problem space if you're not that interested in it?
Look, we're having a lot of fun doing this.
And I think if you're not having a lot of fun doing stuff, you probably shouldn't work on it.
It's something that like it's a privileged thing, obviously.
And often a lot of people don't find work fun.
They have to do it because it's economically necessary.
But um, if you're gonna build a company, try to have fun with it.
There's a great quote um in the Bhagavad Gita, which I read recently again, and I was like, you know, you're not entitled to the fruits of your labor.
And um I never think about the outcomes.
I just try to figure out what I enjoy, what I what kind of uh how much fun I like to have and the problems that I like thinking about.
I like all this account that I have is just pure fun.
Like I get I I really enjoy talking and thinking about this.
And my my brain prompts me to think about it.
We were talking about, you know, the real prompt is in your brain.
Like that is where it originates.
And then you're translating that into some text that you're sending into AI where we call that a prompt.
And sure, yeah, but like without the the spark in your existence in your inner self, nothing would happen.
This is some Rick Rubin shit, man.
It's true.
Like it's fucking true.
Like, how would she get you together the threat?
This is why this is why, you know, I think Rick Rubin, you know, people made fun of him.
Yeah, he's amazing.
He's incredible because he was ahead of the curve.
Oh, totally.
And I think music is such a I I know Anish, you're a giant, you know, you know, you're DJ music, but like it's such a you have to feel it.
Yeah.
You have to feel it.
And there's such an important element to it.
I think when you're doing anything new, building a company, you have to feel it.
So, okay, so I have a question for you.
So there's sort of two different archaeotypes of great consumer founders.
Okay.
I'd say there's the maybe maybe the modern archaeotype is somebody like, you know, Boris is working on Claude Code or of course Dario or you know, Sam and some of his co-founders who are so extraordinarily technical.
They're like willing these things into existence that were unimaginable five years ago.
Okay, and that's great.
And ChatGPT is the fastest product to what I think is a billion users, et cetera, et cetera.
There's a other archetype from the web 2.0 days, right?
These are like the gentle sort of consumer, I don't know, philosophers whose canvas was technology, right?
Think Ev, think Kevin Rose.
All these people were just cut from a different c cloth, and they were perhaps more students of culture than technology.
Okay.
And you got two very different forms of types of companies.
And I don't quite know where I'd put Zuck, but let's set them aside for a moment.
Do you think that there's a preferred model?
Is like, is the gentle builder more of a New York informed model and the technical builder is more of an SF informed model?
Is it just something that matches with the product cycle?
Like, and then maybe talk a bit about what you think your strengths are and you know how it meets the moment.
I I think of most people as one type of artist or another.
And they have like, they have like brush strokes that you use.
You know, I was like Monet, and it was like I loved what I love is I love going in and looking at the actual brush strokes of the painting.
Then you get these like pixel level um understanding of like, wow, he used this color for this brushstroke or whatever.
And then you zoom out and you're like, oh my God, I see this wonderful little painting, and um, I'm deeply inspired by it.
So it's just like I think people are utilizing different styles and different forms of like a different type of um but it's in the end, when you're doing anything new, it is it is just a sort of a canvas, like the painting and and and you know, some people like hard edge paintings and you know, this Renaissance style, and some people like modern art and some people like this, you know, water lilies of c and I think just a different form, and at least all the initial versions of it you know, going back to the Web2O era with with ke Kevin Rose and the it was a very different time because building network products like that, whether it's dig or Twitter, um fundamentally different than developing personalities of a model.
Like holy crap, I was at OpenAI and we were discussing a bunch of things around how do you think about personality development of models and you know the fact that you can't really easily change them or how do you reduce the significance of the models and these are really technically hard problems.
And I think every every technology cycle to me is like um is increasingly harder because you're probably going into a different part of how the human mind or the human bot like operates.
And right now we're like developing personality.
That's that's insane.
Like if you asked 10 years ago, we were gonna build personalities for computers, you would have kind of been like, wait, what?
Yeah.
What does that really mean?
Yeah.
And these guys were with with Kevin and Jack and whatnot, they were architecting um, I think delivery vehicles in some sense, right?
Like they were developing architecture for humans to add payload and then send it to another human.
Whether it's broadcast or one-to-one, uh, you know, with Dig was a news and people posted in the comments and and Twitter was like another version of that.
Um I think we're kind of designing this upper echelon of how a human personality works and how intelligence works.
And I think that's a grand like it's a such a it's no longer feels like a delivery vehicle.
It feels like the actual thing and the payload and the and the underlying.
I don't know if that makes sense.
Doesn't matter how my mind works.
I don't know if you guys think about it that way, but in some sense, um, we've we've we've moved up leveled a lot and the complexity is increased drastically.
Training a model, and then you know, reinforcement learning, human feedback, what's interesting.
There's like multiple different types of um ways that things engage.
Uh, I think these are just and talk a little bit more about what you've observed in terms of the personality differences between models or what you think particularly makes you know cloud so interesting, or you know, I think one of the things that they focused on it it going back to our Rick Rubin point, right?
It's like it feels artisan.
It feels like it's got a soul.
Whereas I think in some sense, the other models feel a little bit more robotic and a little bit more utilitarian, if you will.
And, you know, if you think about what AGI is, and I think or there's a great um Simpsons episode, right, where one of the Bart sells his soul for five dollars to Millhouse.
It was one of the most profound interesting episodes of The Simpsons.
And okay, well, he wrote he wrote Bart's soul on a piece of paper and then handed it to him.
And then he felt it.
Like he felt like he didn't have a soul.
And I found that really interesting because, you know, it sort of explores the idea of like, I think going back to our initial point, like what is a human and what what what what are we?
What are we doing here?
How does technology help us in in terms of understanding ourselves and the way that we exist?
And I felt like there's like less sycophancy.
There's this pushback, just like talking to a real human being.
It's personified, like it's called Claude, and most Claude is known as a person.
So it is, it feels very um crafted artisan slash, dare I say premium to a certain extent.
And I think it's been really fun.
And one of my uh my sister is a doctor, and she randomly just she was using Chat GPT for a few years and she canceled and she's like, I'm I'm using Claude now, and I I gotta we're I was like, what?
How did you find out about this?
What what what?
It's it's nuts.
And I think it just goes to show you the the proliferation and the and the marketing and the storytelling of Claude has been aesthetically really next level.
It's been really really fun to watch.
I like good products, I like talking about good products, and I like praising the people who make good products.
That's that's what we're about here, right?
Like it's like, give credit where credit is due.
They've made a beautiful little tool.
And when paired with like a a thing in your pocket that is also crafted in artisan with Apple and iPhone, and and then you get this like really magical intelligent experience on your device wherever you are.
How do you think about what these product experiences might look like in a couple years?
Like, how do you think how do you see the interface evolving or what are you sort of predicting in terms of what's on the what's in the right?
I think the most interesting thing to me is um they seem like in a very infant state in some sense.
I don't know.
I mean, they're really powerful in one end of the dimension, right?
But they're also like it's unclear to me.
Experiencing intelligence through just conversation back and forth is one way, but the ambient layers are really fun and interesting to think about.
Like we were building a fun little product that woke you up with AI, right?
And it's like a very primitive thing.
Everybody wakes up in the morning, God forbid otherwise, but um, how is it going to weave into your daily existence as if it's not a chat bot, but more as a sort of ethereal entity that exists?
I mean, obviously, movies have personified this, and you know, there's been her and whatnot, but it is gonna be fascinating to see how it weaves into your daily life, whether it's your home or work and in a very ambient state.
Um, I know it's not about like listening to you all the time potentially, or it's not about, but I think there's a lot of these explorations that have yet to be done um at the interface layers.
Uh, how does AI talk to you first?
Today that's a push notification, I think, roughly.
Um is that it?
I don't know.
Um, how does Apple integrate AI into iOS and weave it into the operating system and um how do we use application applications or specific types of things?
Are they even necessary anymore?
Uh do we even need an interface if we're just talking to it?
I don't know.
I think those are really interesting questions.
I I personally like the ambient AI layer.
I think that's you're seeing a little bit of this with like open claw and whatnot and sort of working agents working in the background and kind of surfacing the right things at the right time.
There's a great product a a while ago that didn't work called Google Now.
The whole purpose of Google Now was to kind of predict a search, right?
It's like, what are you gonna search for next, Eric?
Possibly like in some sense, right?
Um and uh it was ahead of its time in some sense, but when it you marry it with context and intelligence, I think that is actually a huge vector for how to think about what the future of AI and how the stuff will weave into our lives.
And I don't think anybody's there's not gonna be a single person who doesn't use this stuff.
It's just a matter of when.
Yeah.
Right.
Um that's gonna be that's gonna be interesting.
I don't know.
I'll then just quick story.
I remember asking Bology.
I was like, Bology, how do you know so much about you know um crypto and economics and bio and math and science and you know all these things.
Like, give me all the books you read.
He's like, Books.
I don't read books.
I just get in fights with people on the internet.
And then just that's how I like internalize all the information.
I like it's real time.
I I need to know, I learned what I need to know to win the argument.
Cool.
And then he's like really remembers that conceptually, those are really fun ways to have these discussions.
I mean, obviously it's some of it's not kosher to possibly say or uh do out loud, but I think that's actually really cool.
I learning from other people is what we do best.
Like monkeys or like you know, apes or watching other people uh other other they they use tools because they learn how to use I that's wonderful.
Imagine if I'm using a tool wrong, like hammer a backwards or whatever.
Somebody's like, no, you're an idiot.
This is how you use it.
Wonderful.
Now I've benefited.
Um maybe that other person got a dopamine hit because they they proved me wrong wrong.
And I think in the end we all win.
It's great.
Uh and I I I think that's how I treat my account in some ways.
It's almost as if I'm not really trying to gain anything.
It's just I don't have anything to lose.
Yeah.
Like what what do I lose by being wrong?
So I have a question for you.
Um, there's a study that came out a few weeks ago that generated a bunch of conversation, which is that in China, AI is highly popular.
Yeah in the US, AI is very unpopular.
In fact, it's even less popular than ice right now.
Okay.
The NPS of AI is not great in this country.
How would you fix that?
Like, I will always think about movements, right?
When people create movements, and all the movements are rooted in simple storytelling.
In some ways, we are in like a fear-driven development, you know, like there's a lot of fear that's being generated as a result of this.
And I think there's a positive framing to all this.
Like, I think we're moving towards a world where hopefully there's highly abundant elements of everything.
Like right now, we all feel like we're fighting for resources, right?
Whether it's capital labor or whatever.
Like people think of the world as a finite amount of things, fine.
Like a lot of people have this, like, you know, in Silicon Valley, we have this classic thing where it's like everything is grow the pie, you know?
Yeah, positive sum.
Positive sum.
Everything is positive sum.
Normal people don't really think about that.
Like they don't really think about growing the pie.
At least, I don't know, I'd love to get your perspective on this, which is like if we're fortunately our we are, in some sense, primitive, and that we are competing for resources, competing for finite things and and whatnot.
But I think the framing has to be around like hopefully we are if we if we if we do our jobs well, we're moving towards a a world that's highly abundant in everything that humans might actually need.
I think that the number one way you change the NPS of AI is you make important things cheap quickly, like soon.
Okay.
And we've all seen the famous chart that Mark has tweeted a thousand times, right?
Which is the diffusion of products prices on per product category basis, right?
So this is the famous one where it's 1970, everything is essentially, you know, referenced to that date, and then certain things get more expensive, certain things get cheaper.
The number one thing that gets cheaper is flat screen TVs.
So flat screen TVs are asymptotic to essentially zero dollars.
Yep.
The things that are getting edu expensive are healthcare, education, and housing.
Okay.
There's actually a little bit of math, and I did this math a few months ago that you can do to show how you can make education and healthcare cheaper with AI very, very quickly.
And by cheaper, I don't mean disinflation, which is a reduced rate of inflation.
I mean actual deflation, like cheaper than it was last year.
Okay.
So here's the math.
Just consider it for a moment.
Education is actually the easiest one.
Education, if you restore student administrator ratios to what they were 10 years ago, and you make professors modestly more productive, modestly, then you can actually just have education in school getting cheaper every year.
Like the explosion of administrators, not professors, not teachers, but administrators, is totally underdiscussed and it's insane.
So you can make education cheaper, like we could do it right away.
We already have all the technology, we just have to make a different set of choices.
For healthcare, 45% of healthcare cost is administration.
Okay.
It's all this overhead.
And if you've done the healthcare thing, we've all done it, right?
The like revenue cycle management, all the back office stuff, all the nurses phoning you to tell you what drugs to take the night before you get a procedure, like all of that stuff is overhead and all that adds to cost.
If you can take a bunch of the cost out of that with models, and by the way, these are the numbers by category, the number one consumer of open AI models, for example, are healthcare companies and healthcare startups.
You can make healthcare cheaper year over year.
So I think we should say our like moonshot as an industry should be to make these two things way cheaper in the next five years.
And that's how we're gonna win the hearts and mouth.
Would you subsidize it?
What do you mean?
As in like effectively, like, should the model companies give it away for free to these industries?
Maybe.
Yeah, maybe.
I don't know how you subsidize it.
Maybe at cost, maybe at cost or whatever, something like that.
But it's very interesting because actually, and Dixon said this a while ago, which really got me thinking.
And he's like, how many of our problems in society are actually intelligence bound versus being collective action problems?
And that's why the third category I mentioned healthcare, education, housing.
Housing has nothing to do with intelligence or technology.
It's entirely collective action.
Totally.
We could just build skyscrapers in Marin tomorrow, and it would be abundant cheap housing for everybody, but we have to decide to do that together.
I wonder if giving stuff away or making free, I wonder if people will realize it, you know.
I think generally the world has gotten cheaper and cheaper, cheaper.
Like you can go to Walmart and buy a hairdryer for five bucks.
That's ridiculous.
Like I remember I not to do this again, but I tweeted about this.
Of course I remember using the online encyclopedia of Ziggler.
I tweeted about.
No, it's like um the billionaires drink the same coke as you are.
They're using the same goddamn iPhone.
They're using Claude and Chad GPT just like you are.
Yep.
And like the the underlying essence of equality or the access is is pretty much like incredibly similar.
Like, I mean, but they don't have the same healthcare you have.
And we should fix that.
That's true.
If you get sick as a billionaire versus a normal person, what's the delta?
Dude, you'd be surprised.
I mean, look at New York State right now, right?
Your beloved New York City.
Assuming you have insurance, right?
Like that's probably the in New York State, they're about to make it illegal at the state level to get to give or receive um health advice or financial advice via model.
Oh my god.
Like how fucked up is that, right?
So what does that mean?
People who have lawyers and doctors already are going to be unaffected, and people who use the models for lawyers and doctors are once again set back enormously.
Like, how can we be okay with that?
You know?
So a lot of these are own goals.
It's crazy.
If you look, the state of Massachusetts made it illegal to buy Apple stock because it was too speculative when Apple was going public.
This is like the early 80s, you know.
The home of Elizabeth Warren.
It's like we must protect the consumers from these enormous financial gains.
Like the number of ridiculous things that are done in the name of protection, you know.
And I I think that is a fundamental underestimation of the average consumer.
Yeah, right.
I think people are pretty smart, pretty savvy, they talk, they'll figure things out.
And if you don't prevent them from accessing the tools, like they'll use those tools to make their lives better, you know.
I have a weird idea.
Tell me.
Um the fact that we don't allow normal people to have equity share or stakes in open AI and claw.
It's insane.
Like, imagine if normal people were like, I own a piece of these things.
I mean, maybe that would feel much better, and they would they would have this ownership mentality.
Um, and right now, all this concentration is happening in Silicon Valley and a few people.
Yeah, give people access to create and a sense of ownership, yeah.
Earlier, and therefore, like, imagine if a billion people had stock in open AI in some way, shape, or form.
Maybe that's a dumb idea, but would they be more bought in in AI?
Would they have a positive view of AI?
Or what if their kids did?
What if you rolled it into the Trump accounts?
You know, you know?
And it's like, look, I have my job and I think I'll be okay, and now I know that my kids will be okay too.
Yeah, they have a stake in the future.
That's right.
Well, quite literally, no, you could market it that way.
That to me has been a very weird development where I do think people perceive tech individuals as they're hoarding or concentrating resources and wealth.
Um, for example, we're all privileged in technology, and it's wonderful, and a lot of us are exposed to this, whether it's via equity or whatnot, or even just usage, you know, you're like, but I I think there's potentially a perception with all the power law outcomes that happen, yeah, that that there is a concentration or a hoarding, whether if you want to use a negative terminology like that.
Yeah.
Um, and that creates a weird dynamic.
Right.
Like I'm going to get left behind.
Yep.
While the guys in San Francisco are going to be enormously wealthy.
And that's probably one I I've heard people feeling this way.
And and especially, you know, there's potentially negative sentiment in technology.
And the NPS score probably reflects that, right?
Um, and that is that is not, I think that's something to be fixed.
And ownership might might fix that.
But any, I mean, I I uh I love I think there's this the power law dynamic that Peter introduced is really fascinating to me because it it was like business outcomes.
Yeah.
And the internet drives power law outcomes in a variety of different other scenarios as well.
Not just business.
And and I think um people are starting to catch up and people are seeing this sort of wealth discrepancy that exists.
And technology is a crazy accelerator.
Like we talked about this right at the beginning.
Yeah, and this this entity is is accelerating and returns.
I I think that's maybe something to look at.
Uh I don't know if that's the right answer or whatever, but I I did see that tweet about the the concentration of like the inaccessible um private companies are staying private longer.
Yeah.
Uh what does that really mean?
That's crazy.
Right.
Maybe we should have a law that says you have to go public at some point before XYZ.
We somewhat do have that with the way RSUs are structured and things like that.
Anything you want to tease or how do you want to um Oh, that's a great question.
Um we are building a fun little consumer product, and um I'm excited to kind of story tell on this.
That's like a little bit different.
I mean, we're three people having fun building a fun little, you know, interfaces of consumer AI and what we think might be really interesting for average normal people to experience and use, and it works out of the box.
So I'm very excited for that.
That's been really fun.
It's what we've been up to.
One of the fundamental things that I I just don't want to top the talk, I want to walk the walk.
And I'm I'm I'm excited to be able to share what we're up to.
I mean, it's it's small, it's fun, it's it's interesting.
We're um, and um, you know, we're we're gonna we're gonna we're gonna see how well it lands.
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