0:00 myself. I've been an engineer for like,
0:02 you know, a couple decades now, and I no
0:04 longer write code. I only
0:06 [Music]
0:11 prompt. All right. So, you founded this
0:14 company, but your story is crazy. So,
0:16 you're high school dropout, grew up in
0:20 Argentina, have been building things and
0:22 hacking on things since, you know, a
0:24 very young age. Sold a company kind of
0:26 early on. I don't know if it was big
0:27 sale or small sale. And then you
0:30 built this product that has just taken
0:32 off. Every front end developer I know
0:34 loves it. It's valued, I don't know, $3
0:36 billion or so, you know, whatever, give
0:37 or take. And you've just done this
0:40 incredible thing. And now, and now you
0:41 have this AI tool that's also like super
0:44 on trend and is something that is doing
0:47 really really well. It's a really cool
0:48 uh agent that that builds sites for you.
0:51 That's my version of the of the the
0:53 summary of your story. It's a great
0:55 summary. Maybe the only thing I'll add
0:57 is
0:58 the the crazy way that I've been able to
1:01 go from like a teenager in Argentina to
1:03 today was has been a lot of open source.
1:06 So I've been involved in creating a lot
1:08 of technologies that have become
1:10 foundational in the tech ecosystem. And
1:12 I felt like that and the web has sort of
1:14 been my ticket to success of course over
1:17 decades of hard work. Well, explain
1:18 that. So why did you drop out of high
1:19 school? I I I've never been a fan of
1:22 like the high school dropout moniker
1:24 because I actually really loved the high
1:26 school that I went to. So, it was a high
1:27 school in Argentina that was a free
1:29 public school that had an entry exam.
1:32 You had to study really hard to get in.
1:34 And I worked so hard to get in. Uh
1:37 entered in position number 10 out of
1:39 like thousands of students. But I had
1:42 two competing interests. I was becoming
1:44 popular in this open source ecosystem
1:47 because I was creating libraries for
1:49 JavaScript and front-end development.
1:51 You're like becoming popular at in open
1:54 source but you're only 15 16 years old.
1:56 So when did you start? Started coding
1:58 very early like uh you know seriously I
2:00 would say when I was 10 years old I was
2:03 creating websites shipping I started
2:04 doing work online helping my parents
2:07 with our uh like home finances. Was it
2:10 just a lucky break or what got you
2:11 started? lucky break in some ways, but
2:14 um open source. So, I was contributing a
2:16 lot to like online forums uh helping
2:18 people out. And the lucky part was I
2:20 remember this guy who whose name I guess
2:22 I'll never know. It was like Dark Shadow
2:25 123. He's like, "Hey, you seem to really
2:27 enjoy helping people out by writing
2:29 tutorials and guides and things like
2:30 that. There's this website is a
2:32 freelancing website. You could just sell
2:35 your services here because you know so
2:36 many things about Linux and PHP and
2:38 programming." So there was a bit of a
2:40 lucky break in that I figured out a
2:42 business model for myself really early
2:44 on. I got my first check when when I was
2:47 in like 11 years old then started I had
2:50 a client in the Netherlands when I was
2:51 like 12 or 13. Are you pretending to be
2:54 a adult or are you openly like it never
2:57 I wanted really badly for it to never
2:59 come up. And I'm really I guess lucky
3:02 that at the time like even Skype was not
3:04 a thing. So it was like actually kind of
3:05 rare that you have to get on the phone.
3:07 So I really took advantage of that. But
3:10 so when I got into this high school, my
3:13 reputation for doing all of this work
3:15 and then my reputation in the open
3:16 source world were both growing
3:19 simultaneously. So as my grades were
3:21 decaying, my sort of online net worth
3:24 and contribution and notability in the
3:27 world was growing. So I would write
3:30 articles, I would get to the front page
3:31 of dick.com. I would write open source
3:33 software that would get a lot of
3:34 traction. I would get written out. Give
3:37 give me a sense. Are you I'm gonna say
3:38 it in a dumb way. Like are you a genius
3:40 or you were just being extremely
3:41 helpful? Like was it just like nobody
3:43 was writing the tutorial on how to host
3:45 your WordPress site or whatever? Was it
3:47 like you were figuring things out really
3:49 cutting edge stuff? Where were you?
3:50 Yeah. When I advise young people on like
3:52 how to bootstrap their careers, I say
3:54 start by teaching anything. So I started
3:56 with like how to compile. There was a
3:59 project called
4:00 RPPO to get internet connectivity in
4:03 Linux. It's like it's just like writing
4:04 down tutorial today will do 100 times
4:07 better job, right? Or like at best it
4:09 becomes training data for an AI to then
4:11 explain it back to people. But then over
4:13 time I started coming up with my own
4:15 breakthroughs. And so I I my quote
4:18 unquote big break was I started
4:20 contributing to a library called Mood
4:21 tools when I was 15 16 years old. And
4:25 this library got picked up by Facebook
4:27 to become sort of the
4:29 inspiration/foundation for their
4:31 JavaScript infrastructure. And I got a
4:33 job offer from Facebook when I was like
4:35 17 years old. And so my contributions to
4:38 that project was starting to become more
4:40 important. And so you got a job offer
4:42 from Facebook when you were 15. Yeah. So
4:44 I was I was probably 17 16. So super
4:49 early days of of Facebook. So in many
4:52 ways, you know, you could have play out
4:54 another timeline in which I was in
4:56 America already and like I was an early
4:58 engineer at Facebook, things like that.
4:59 Did you turn it down? Well, when they
5:01 discovered I was in
5:03 Argentina and other age, I was like,
5:05 "Oh, yeah, maybe we should look for
5:06 someone else." But that same project
5:09 kept opening up up doors for me because
5:12 other startups started using the same
5:14 foundation and they were like, "Hm, who
5:16 should we hire?" And the first thing you
5:18 think of is I'm going to hire the people
5:19 that contributed to the project. We do
5:21 that ourselves today with our open
5:22 source projects like Nex.js. We go and
5:24 like, "Okay, who's contributing?" Like,
5:25 hm, that person seems really
5:26 interesting. So when I was about 18,
5:31 that's when this startup from
5:33 Switzerland reached out and saying,
5:34 "Hey, like we want to hire a mood tools
5:36 developer." And that's when I basically
5:38 just dropped out of high school. Like I
5:41 I I had my first real job offer from a
5:44 company in Losan, Switzerland. And for
5:47 my parents, for myself, it was kind of
5:48 surreal, right? Like I'd never left the
5:50 country. And I was like leaving
5:52 Argentina for the first time with a job
5:54 offer in hand at a like an amazing
5:57 country, you know? So, it's kind of
5:58 surreal. Yeah. I I we hired a kid and
6:01 when I was doing a startup in San
6:02 Francisco, we had a guy who was in
6:03 eighth grade and he emailed me, Johnny
6:04 Dallas, and he said, "Hey, I love to
6:07 code. I my dad met somebody I met Pete
6:10 at a dog park, this our sis CIS admin
6:12 guy, and he was like, um, I don't know
6:15 anyone else who codes. Can I just come
6:17 hang out for the summer? I just want to
6:18 be around other programmers." And I was
6:19 like, "Oh, man. Amazing. Yes, for sure.
6:21 He comes in first day. We just actually
6:23 give him a test. We're like, "Hey, we
6:24 want you to make this little onboarding
6:26 quiz, HTML, just make a quiz, like
6:29 multiple choice, take them down to flow
6:30 and land them in one of these four
6:32 buckets." And he just sits there and he
6:33 sits there till like 7 or 8 at night. I
6:35 feel bad. But he's like not asking for
6:37 help. I just want to see how it plays
6:38 out. And he actually ships the quiz at
6:40 the end of the the evening. I was like,
6:41 "All right, this kid's legit." By the
6:43 time he's in 10th grade, we're like,
6:45 "This guy's, you know, he's working
6:46 basically full-time for us. He's after
6:48 school. He's coming in." And so we had
6:50 this um I had a conversation with his
6:52 mom. I remember at the like downtown and
6:54 she's like I can't imagine my son being
6:56 like a high school dropout and I said,
6:58 "Do you know LeBron James and Kobe
7:00 Bryant?" I was like, "Your son is going
7:01 pro." And so I think that should be a
7:04 little bit of a Yeah, totally. If any
7:06 kid is listening to this, it worked like
7:07 a charm on on that mom. Try this on your
7:10 mom or try this on on anybody where you
7:12 can really go pro early. Yeah, totally.
7:14 I I always give people very caveed
7:17 advice, right? Like I tell them, look, I
7:19 went to a high school that was giving us
7:21 college level content. So I actually
7:23 developed a good foundation, a good
7:25 quote unquote world model. I was I
7:27 became quite competent in a lot of
7:29 sciences and we had really good
7:32 chemistry classes, physics, math, etc.
7:34 So I'm actually really thankful that I
7:36 had a good foundation. And then by the
7:38 time I decided not to continue down like
7:42 the normal quote unquote educational
7:44 career, I had a really good alternative,
7:47 right? Like by that time it was really
7:48 clear that my my skills were going to
7:50 take me somewhere. I didn't know
7:53 specifically I was going to get in I was
7:55 eventually going to end up in San
7:56 Francisco building companies, but um you
7:59 know it was it was a bit of a leap of
8:00 faith. I was well substantiated in
8:03 existing evidence of success.
8:06 Hey, let's take a quick break for a
8:07 message from our sponsor HubSpot who's
8:09 making this episode possible. Listen, if
8:11 you're trying to build something big,
8:12 and I'm talking about hundred million
8:13 dollar or billion dollar company, one of
8:15 the most important things is to focus on
8:17 the market. Where is the opportunity?
8:19 You are like a surfer on a surfboard and
8:21 you're trying to find the biggest best
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8:24 HubSpot has put together a cheat sheet
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8:43 either scan this QR code that you see on
8:45 the screen or click the link in the
8:46 description below. All right, back to
8:48 the show. You talking about moo tools
8:50 and you're talking about JavaScript. I
8:52 read something great that you said. you
8:53 you go I kind of bet on JavaScript
8:56 because I realized that for the back end
8:58 there's you know 100 different languages
9:00 you could choose but the the browsers
9:02 only know JavaScript right it's like an
9:04 unfair advantage looking back I think
9:08 you you always arrive to success by
9:09 finding asymmetries or finding alpha or
9:12 finding unfair advantages and JavaScript
9:16 has this unfair advantage that and and I
9:19 can explain how it won as well but right
9:21 now Every single device on the planet on
9:25 the client inside a web browser can run
9:27 one language and that language is
9:29 JavaScript. It can't run Python. It
9:32 can't run C++. It can't run Java. Right?
9:35 And the way that JavaScript got there
9:37 was actually by beating a lot of
9:39 alternatives. So way back in the day, we
9:41 had Macromedia Flash as a proprietary
9:43 plugin that Steve Jobs put to rest
9:46 eventually with the iPhone. Was he right
9:48 on that by the way? Was his absolutely
9:49 taste correct? Absolutely. we had Java
9:52 applets, right? So there was an idea
9:54 that the JVM Java was going to be that
9:56 universal language and the fact that
10:00 when I started going deep into
10:02 JavaScript, it was there was still a
10:03 little bit of a perception of like it's
10:05 like a toy. Why was that? Why was
10:08 because okay, I'm a mostly non-technical
10:10 person, but I I love you. I love
10:12 situations like this where like there
10:14 was a hundred contenders and one wins,
10:16 but it doesn't win because it had the
10:17 obvious traits of what you would think
10:19 would win, but there's this other thing
10:21 that actually proved to be a big
10:22 advantage. So, you know, we were just
10:24 talking about like midjourney before
10:25 this uh and we're like midjourney like
10:27 it's not like the product design. It's
10:29 not like somebody some designer sat down
10:31 then you'll open up Discord and there'll
10:33 be a hundred random channels and in it
10:34 there'll be strangers making images but
10:36 actually bad was better. Bad was good.
10:39 Yeah. Because you learned how to use it.
10:40 I've heard say worse is better. Yeah. Uh
10:43 not worse. I haven't seen worse better.
10:44 I've seen the Paul Lucite one where he's
10:47 like uh if you're great, you don't have
10:48 to be good. I think it's maybe similar,
10:50 but can you explain worse? Yeah. Worse
10:51 is better was a paradigm in the early
10:53 days of the internet of um specifically
10:55 that essay spoke about worse in the
10:58 sense of less powerful because sometimes
11:01 when you constrain a technology, you
11:02 make it a lot more predictable. And so
11:05 there were some advantages to like
11:06 markup languages that made them worse
11:08 but better and became the the successful
11:10 foundation of the internet. But there's
11:12 a broader point that Brendan Ike the
11:14 creator of JavaScript has pointed out
11:16 which is that sometimes the success of
11:19 technologies or startups can be best
11:21 understood through the lens of evolution
11:24 in natural selection and Darwinism
11:27 rather than like the obvious quote
11:29 unquote intelligent design. So there was
11:31 an article that he shared at one point
11:33 called what would Charles Darwin think
11:35 about clean slate architectures. Okay.
11:38 And so JavaScript was almost like a
11:41 piece of DNA that evolved and became
11:43 more sophisticated over time but started
11:46 out looking very simple small. It was a
11:50 piece of code that you would inline into
11:52 the markup. So we when you think about
11:54 markup in the sense of like my space
11:55 codes or like HTML it was like can we
11:58 bring HTML slightly more alive okay so
12:01 we need something that's very
12:02 minimalistic that we can put right there
12:04 inside the markup code and from there it
12:06 became more powerful more sophisticated
12:09 but most people when they looked at it
12:10 in the beginning they were like well it
12:12 can't be fast it can't be typed it can't
12:15 be correct it can't scale it can't have
12:18 a module system but all of these
12:20 observations that people were making
12:21 were not actually Paradoxically they
12:23 were not quite technical. They were like
12:25 well at that point as it exists at that
12:28 time it cannot do those things. So a lot
12:30 of the alpha that I created in my career
12:32 was by actually taking it seriously and
12:34 saying like well we can add this thing.
12:37 So very simple example it's a little
12:39 technical but JavaScript lacked classes.
12:42 It couldn't do object-oriented
12:44 programming in the conception that
12:46 people had with things like action
12:49 script or C++ or Java. But in the mood
12:52 tools team, we did figure out a way of
12:54 quote unquote faking it. We created a
12:57 function called class with an uppercase
12:59 C and when we presented it to developers
13:01 like well like so you added classes to
13:03 JavaScript. Well, yeah, we kind of added
13:05 them. And that actually was one of the
13:07 salient features that that stood out to
13:09 the Facebook team and and many other
13:11 teams in the Bay Area. And so by
13:14 evolving that thing and actually betting
13:17 on it, that became the asymmetry of of
13:20 my early career. And and again like the
13:22 experts at the time and this is why I
13:24 think there has been a shadow of doubt
13:27 cast on experts for many years now. The
13:30 experts I think we're familiar with this
13:32 because angel investments that are
13:34 successful had the same characteristics
13:36 of like gh look at how rough that
13:39 entrepreneur looks or like look at how
13:41 shitty the homepage looks and like you
13:42 have to be able to project out what it's
13:45 going to be in the future and now
13:46 JavaScript has eaten the world. Yeah.
13:48 One of the best blog posts I ever did
13:50 was I just went back to the way back
13:51 machine. I just said here's what the
13:53 first website of Airbnb looked like.
13:54 Here's what the first website of Uber
13:55 looked like, which actually is like very
13:57 important for entrepreneurs to look at.
13:58 You kind of know intellect. Like if I
14:00 asked you, you'd be like, "Yeah, I
14:01 probably started off rubbish." But
14:02 literally go look at it. Read it. Look
14:04 at the thing. Look at the pixels. Look
14:06 at the actual pixels because it does a
14:08 couple things. First, it you're
14:09 overthinking it. Whatever you're doing,
14:10 you're probably overthinking to start to
14:12 launch. Second, it shows how far you
14:14 really have to go to like iterate to get
14:16 make things better. And also like how
14:18 narrow of a wedge you take like the
14:20 Airbnb initial one is like there's a
14:22 design conference the hotels are booked
14:24 and expensive stay on sleep on another
14:27 designer's couch or or air bed and you
14:30 just take so much from those like
14:31 initial initial web pages and you're
14:34 right like once you hang around in
14:36 Silicon Valley it humbles you so that
14:38 the things that look like toys or the
14:39 things that start narrow or the things
14:41 that seem limited on six dimensions but
14:43 are really good at this one thing they
14:45 can't be underestimated and it does
14:47 raise the question of genius versus
14:51 accident and there's just so many good
14:53 stories about the creation of
14:54 JavaScript. One was the extreme time
14:56 constraint that Mark Andre put Brendan
14:58 Ike into the reason it's called
15:00 JavaScript is they needed to market it
15:02 as Java. They just added script. There's
15:05 no relation whatsoever between the two
15:07 things. And so the other one was I think
15:11 Brandon always says that it took him 10
15:13 days to conceive the language. And
15:15 that's primarily because of deadlines.
15:17 So we're like, okay, we have to ship
15:19 something that makes pages come alive.
15:21 For those that are not technical, the
15:23 way that I sometimes explain what we do
15:26 with running JavaScript on the server
15:27 and running it on the client is there's
15:29 this newspaper in Harry Potter, uh,
15:32 which is like a regular newspaper, but
15:34 when you open it, it comes alive.
15:35 Pictures move. Yeah. So think of getting
15:37 the newspaper as the server is giving
15:39 you the server rendered pre-rendered
15:42 artifact. So it comes with all the
15:43 letters, all the static images etc. But
15:45 then it's really cool that you can open
15:47 it and what we call it technically is it
15:49 becomes hydrated. It becomes alive and
15:52 more code can run on your side of the
15:54 equation and that can be a very enriched
15:57 experience. So that's the power of
15:59 JavaScript. That's a great analogy. It
16:00 can run at the production line. It could
16:03 be manufactured. It could be printed but
16:06 then it can be shipped to you and then
16:08 it can become alive again. And so in
16:11 those 10 days, Mark Andre wanted to
16:13 basically pitch that like one of the
16:16 initial names I think life script. It's
16:18 like and then they re JavaScript to
16:21 market it more to like the enterprise
16:23 traction that it' be akin to today like
16:26 we want to call things agents and
16:28 perhaps they're not agents or whatever
16:29 like so to use the evolution example
16:31 it's like the skin color blended in with
16:34 the trees. It's like JavaScript just
16:36 blend it in with the Java and that gave
16:38 it a revolutionary advantage versus
16:40 getting eaten because it stands out. But
16:42 the other interesting observation is
16:43 okay so you have 10 12 days you have to
16:45 ship something whatever and what is the
16:48 minimum surface that you can ship on top
16:51 of which evolution can be bootstrapped.
16:53 I think that's much better than trying
16:55 to aim for completeness of that initial
16:57 version. And what I ask myself when I
16:59 study the success of others is were they
17:02 really clever to think hm I have to
17:04 delete delete delete like I think you
17:06 were referencing Rick Rubin's reducing
17:09 thing I'm a reducer not a producer so I
17:12 think if you're truly brilliant I think
17:14 you'll find that you have to delete and
17:18 delete and delete and that's one path to
17:19 success and because you know what the
17:22 more complete picture would look like
17:23 but you can exercise that restraint or
17:26 you can just stumble upon it through
17:28 deadlines, right? Like you have the
17:29 classic YC, let's make you ship a
17:32 startup in 3 months. And so that is acts
17:35 as a forcing function for the reduction
17:36 of the surface. And I think there's
17:38 something about human nature or perhaps
17:41 the pressure that people put themselves
17:42 under, which is that I have to add more.
17:45 I have to make that homepage. I have to
17:47 add more images. I have to add more
17:48 gradients, whatever. But then through
17:50 the exercise that you talked about, you
17:52 can go back and see well actually things
17:54 looked pretty simple and they focus a
17:56 lot on the content and the on the
17:57 essentials. So you you're doing mood
18:01 tools, you you go out there to
18:03 Switzerland. How do you get to Verscell
18:05 and what's the like insight you have to
18:07 start this company that has become this
18:09 juggernaut, right? Like I think I've
18:10 DM'd you like every year for three years
18:12 being like, "Hey, can I invest in this
18:13 thing?" Cuz it's such a juggernaut that
18:14 like so obvious to me that when you have
18:16 this sort of developer love Yeah. Yeah,
18:18 you really can't help but win and you
18:20 were like on the you were on the right
18:22 waves that uh to be on for the last few
18:24 years. The pattern throughout my career
18:26 has been iteration velocity is the most
18:28 important thing to optimize for. So my
18:32 previous startup which I sold to
18:33 WordPress anytime I would start a
18:35 project before starting the project I
18:38 would start on the mechanism to ensure I
18:41 was CTO of that startup. I start on the
18:43 mechanism to ensure that my colleagues,
18:46 my engineers, my everyone in the company
18:48 could ship really fast. My obsession
18:52 became how quickly can you go from idea
18:55 to sharable artifact from idea to
18:58 URL. And today it's seems obvious that
19:01 Vero is so successful and that you can
19:04 prompt and get a link and you can go
19:06 from prompt to
19:07 application. But I didn't have AI at the
19:10 time. What I had was what I can do is I
19:13 can streamline the deployment pipeline
19:15 of ideas. Sorry, just so I can summarize
19:18 what you said. You said most important
19:20 principle for me when I work on a
19:21 project is that we're going to be able
19:23 to ship fast and iterate fast. In order
19:25 to ship fast and iterate fast, we need
19:27 like our our pit crew, you know, if
19:29 we're a Formula 1 car, we need our pit
19:31 crew to not take 6 hours to change the
19:34 tires or to get us refuelled to get back
19:36 on the road to go for the next lap. So
19:38 what you were saying is you would focus
19:39 more than the average bear on that that
19:42 pit stop between idea and actually
19:45 because exist. So I had to like I had
19:47 the insight that instead of just
19:50 assuming that the world that maybe it
19:52 takes hours to ship or you can ship once
19:54 a week. I was like no let's look at the
19:57 web. The web is so fluid because of all
19:59 of the reasons that we just outlined.
20:00 It's just is so alive. Why can't we be
20:03 shipping a 100 times a day? Why can't we
20:06 try lots of different things? I I
20:09 actually just interviewed recently for
20:10 off-site the the founder of Door Dash
20:13 and he was talking about how Door Dash
20:15 started out with one HTML page and six
20:18 PDFs of the restaurants that they were
20:21 going to deliver for and they just
20:23 brought the idea online as soon as
20:25 possible. So to some people it becomes
20:27 obvious that the most important thing is
20:29 to get the idea out into the world as a
20:31 URL and see if it sticks. So I wanted to
20:34 create a platform where that was the
20:36 norm and that was sort of the inception
20:38 the idea for Verscell and because before
20:41 Versel I was at WordPress I noticed
20:43 WordPress as a company had become quite
20:45 good at deploying one app WordPress.com
20:48 but if you were work working for the
20:50 company and you had a new idea you were
20:52 kind of getting stuck you had to go to
20:54 the IT team and be like hey please can
20:56 you set up a server for me can you give
20:59 me an area here where I can come up with
21:01 a new application or a new idea idea and
21:04 so Verscell started out as can we reduce
21:06 that friction from idea to live to
21:09 seconds. In fact, it became such an
21:11 obsession it started measuring each
21:13 millisecond of like you have an idea,
21:15 you write it down in JavaScript or HTML
21:17 or whatever, you press deploy, how
21:19 quickly can we get it online. It was
21:22 that it was literally I love the Formula
21:24 1 metaphor because it was it's about
21:28 shaving down the seconds that were
21:30 stopping the scar. And this car is not
21:33 just one app or one idea or one person.
21:35 It's literally how the entire business
21:37 works. This is why Versa has been so
21:39 successful with the largest companies in
21:42 the world like investment banks and also
21:46 it powers most of the YC startups that
21:48 are creating new ideas in the manner
21:50 that I just described which is like hey
21:51 I need to try something out and I need
21:52 to hit demo day what is the quickest way
21:55 to deploy it's so it sounds like this
21:58 might be one of those startups where you
21:59 didn't need to pivot a ton. It sounds
22:00 like you maybe had the correct idea like
22:02 you knew the pain, you knew the problem
22:04 correctly and it sounds like you had a
22:05 right idea of the solution then you
22:06 obviously made it better but is that
22:08 true? Yes and no. So when you achieve
22:11 some level of success people start
22:13 studying your success a lot and people
22:16 ask me a lot like did you pivot did you
22:17 not pivot what what can be for the
22:19 chicken or the egg and the reason that
22:21 they ask me this is we have an
22:24 extraordinarily successful open source
22:26 project that Verscell created called
22:27 Nex.js JS NexJS powers a lot of the
22:31 modern internet like you talked about
22:32 Midjourney. Midjourney is built with
22:34 Nex.js. And by the way, you make money
22:36 off of that. I didn't understand. It's
22:37 just you open source that widely
22:39 adopted. Does Verscell benefit in it in
22:42 any way? Really? Yes. Because it's in
22:43 the service of okay, how can we get that
22:45 Formula 1 car going? Okay. Start with
22:47 XJS. You're going to cut down on the
22:49 whole assembly of the car. Okay. The
22:51 alternative to next is that you have to
22:53 procure the the chassis and the wheel
22:56 and the engine. Like this was actually
22:58 what was happening to engineers when I
22:59 started the company. I was like, "Okay,
23:00 so how do you start a new idea?" Oh,
23:02 well, I go to Home Depot and I shop for
23:05 like 200 different kinds of wheels and I
23:07 grab the wheel and I go to this thing
23:08 and and then I assemble the Formula 1
23:10 car and then maybe I get started running
23:12 it and then maybe I see if I have
23:14 product market fit. So you created
23:15 Nex.js and I I believe the story is you
23:18 were trying to build something and to
23:20 use React you're like, "Oh [ __ ] I got
23:22 to like go get the engine and the test.
23:23 I got to go get all these pieces. All
23:24 right, I'm just going to build this kind
23:26 of template for myself building the
23:27 website for the company. Kind of like
23:28 the experience of Door Dash. Like I had
23:30 to build zite.co, our domain name at the
23:33 time. It was like, okay, to get started
23:35 with React, I have to do like get a PhD.
23:38 So to your point about was the idea
23:40 correct? This idea is so powerful that
23:42 you cut down the time for humanity to go
23:45 from some hypothesis to a production
23:49 grade deployment and going down from
23:53 weeks of setup to seconds. It seems
23:56 obvious. What was not obvious and felt
23:59 like endless pivots was narrowing down
24:02 the scope. The reduction that you just
24:04 talked about. We started out with like,
24:06 oh, you can deploy anything. You can
24:09 deploy Java. It's so contradictory even
24:11 to my Genesis story, right? Like you can
24:13 deploy Haskell, you can deploy PHP, you
24:17 can and then we realize, wait, why are
24:19 we doing all this? Clearly, we we
24:22 believe that the modern web will be
24:24 powered by frameworks like Nex.js. And
24:27 we believe that there's an there's alpha
24:29 in the market and the world of
24:31 democratizing this idea of using both
24:33 JavaScript as your sort of like backend
24:35 and front end language which massively
24:38 simplifies software development. So I
24:41 will say we didn't pivot in the sense of
24:43 going into a different space but we
24:46 simplified the offering way way way
24:48 significantly.
24:50 you have this interesting seat where you
24:53 get to see what a bunch of people are
24:55 building on your platform or using Vzero
24:57 or whatever and then you also just like
25:00 you're on the edge I would say of like
25:02 tinker hacker technical person who kind
25:05 of sees what's possible but you only
25:06 have so many hours in the day. So you
25:08 tweeted out this thing that said free AI
25:10 ideas. Yeah. And it's like if Gordon
25:13 Ramsay opened up a lemonade stand. It's
25:15 like wow. Like, you know, if Steve Jobs
25:17 was like, "Hey, free product lessons for
25:20 toddlers." I'd be like, like, "Get my
25:22 daughter in that class." Right? So, when
25:23 you say, "Free AI ideas, I want to show
25:25 up." So, can we run through some of your
25:27 AI ideas? Yeah. And I'll give you a
25:29 little bit of background, right? So,
25:31 I've always been obsessed with
25:32 democratizing the web for everyone. So,
25:35 any anyone with an idea has to be able
25:37 to create. And that's why we created
25:39 VZero because VZ is like chat but for
25:41 creating web applications. Instead of
25:43 giving you text, it gives you a fully
25:45 working web application. You say, "I
25:46 want to make a make me an app or a site.
25:49 Maybe the next Door Dash." You can
25:50 literally type that in. It'll it'll make
25:52 one. Yeah. And the difference I would
25:55 say there's many players that are trying
25:57 to build this. But one of the things
25:58 that I'm really excited about is that
26:00 it's banking on the lessons of the last
26:03 10 years of building the world's most
26:05 popular framework for
26:07 JavaScript and building the production
26:09 grade infrastructure to support it.
26:10 Right? Like I'll name a cool brand that
26:13 uses Verscell, Ramp, Supreme.com,
26:18 uh, Brex. In fact, we we have so many
26:20 successful companies in every market
26:22 segment that you could imagine. But all
26:23 of those companies needed expert
26:25 engineers, right? Like in order to build
26:28 like a really cool website like uh drink
26:31 ag.com, you need to learn Next.js. Now
26:34 the magic of our cell is that we cut
26:35 down the learning from like I needed to
26:37 know all of the foundations of computer
26:39 science and all of the foundations of
26:41 AWS and how to deploy software. We
26:44 brought it down to like take a react
26:46 course and use XJS. But with AI, we can
26:50 cut that down even further. It just
26:54 doesn't speak English and we will steer
26:56 the model towards what we think are
26:59 going to be the world's most successful
27:01 outcomes. We care deeply about
27:03 performance. When e-commerce websites
27:06 deploy on Versell, they vastly out
27:09 compete everything else. So, we recently
27:11 heard about a public company that sells
27:14 billions of dollars worth of consumer
27:15 electronics a year that improved their
27:18 conversion rate by 30% on some markets
27:21 to 90% on some other markets. Why?
27:23 Because the website is faster. So
27:26 imagine if you could go to an agent and
27:28 say, "I want to create the next big
27:30 competitor, apple.com. We're going to
27:32 make it faster, more accessible,
27:34 beautifully designed, and deployed on
27:36 this enterprise grade infrastructure."
27:37 You get those out of the box. You get
27:38 those for free. Out of the box. So, and
27:40 it's true to the spirit of the company
27:42 of like how can we get that Formula 1
27:44 car running as soon as possible. So,
27:47 it's opening up creation and deployment
27:50 to basically every human on the planet.
27:52 Okay. But you were saying that's context
27:53 for the AI ideas because what because of
27:56 two things. One is that with V0ero any
27:59 idea that I have I can bring it to
28:01 reality. But then there is a meta. So
28:04 we're being very successful with Vzero
28:06 because we created AI for web engineers
28:10 or AI for people that are interested in
28:12 shipping to the web. There's going to be
28:14 so many other verticals that are going
28:15 to be similarly disrupted. And it seems
28:18 really obvious to me because I'm on the,
28:20 you know, to your point, I'm behind the
28:22 scenes of building things like VZero,
28:24 but I think there's going to be, for
28:26 example, why don't we have a Vzero for
28:28 creating video games, a studio that
28:31 combines the best of both worlds of
28:33 software 1.0 techniques and software 2.0
28:36 techniques. And I don't know if you're
28:36 familiar with that framework, but
28:38 explain. So Andrew Karpathy, who's the
28:41 lead of AI at Tesla and later OpenAI,
28:45 came up with this incredible essay that
28:47 I think is canon now. Like everybody
28:49 must read this because it's so ahead of
28:51 its time of he called it software
28:54 2.0. And he says, look, software 1.0 was
28:58 what I grew up with programming
29:00 languages, data structures,
29:03 u algorithms. You learn how to make
29:06 things more efficient by writing better
29:09 for loops and recursion and you're in
29:12 control of everything and everything is
29:14 very deterministic and
29:15 predictable. Software 2.0 we're still
29:18 using foundations of computer science
29:20 but we're making the process a lot more
29:22 stochastic probabilistic. Instead of
29:25 writing every circuitry of the
29:27 programming language, we're relying on
29:30 training models with data. And the
29:32 output of what those models do might
29:35 resemble what a program might do on its
29:37 own. Like a 1.0 program might do on its
29:39 own. So the best example would be you
29:42 can use Chad GPT40 with image generation
29:45 to produce like incredible diagrams and
29:49 there's ways of generating those
29:51 diagrams with traditional software
29:52 engineering. But this AI is almost like
29:54 this miracle general purpose program
29:56 that can do anything based on what it's
29:58 been trained on. So let's call training
30:01 and neuronet networks and AI software
30:05 2.0. And it has all of these magical
30:08 emergent properties that were not
30:10 thought through by the engineers. The
30:13 engineers didn't have to go and write
30:14 every if else branch that is under the
30:17 hood and think about every corner case.
30:19 And that's why it's so exciting to
30:21 people because every time a new model
30:22 comes out, we're all like we call it
30:25 discovering the latent space. We're all
30:27 trying to figure out what is even
30:28 possible because even the creators of
30:30 the models don't know what's possible,
30:32 which is in stark contrast to software
30:34 1.0. Software 1.0 is like there's a PM
30:37 giving you tickets. I know exactly what
30:39 this can do. I know exactly what it
30:41 can't do. I know if you push this
30:43 button, you're going to get this exact
30:44 result. I know if you push that button,
30:46 you're going to get that exact result.
30:47 The new model, you're saying even the
30:49 makers of it are like, I'm not sure
30:51 exactly what it could do, how well it
30:53 could do. You push this button, you're
30:54 going to get something. Yes, it could be
30:56 phenomenal. It could be, you know, a
30:58 little bit unpredictable in some ways.
31:00 But my what I offer is that the
31:03 successful AI products of the future are
31:05 going to be an intersection of these two
31:07 worlds. You're the software 1.0 parts of
31:10 the product are still going to be highly
31:11 valuable. If not, Vzero would just be
31:15 purely an autonomous AI, but think about
31:17 it. It's still writing NexJS code. Is it
31:20 still using UIs that make it friendly
31:22 for people? It's it still has a
31:25 community of te of of templates that you
31:27 can click with one click deploy and it's
31:30 still banking on the 10 years of
31:31 investment of versell infrastructure and
31:33 our partner infrastructure like
31:35 superbase and neon and the databases
31:37 that we bring in. So I think people are
31:40 going to be able to do this in many
31:41 other verticals. So video games is an
31:43 obvious one to me because you will want
31:47 parts of the game engine to be just like
31:49 Unreal Engine is, right? Like you'll
31:51 want something like a Nex.js but for
31:53 video games that is under the hood. But
31:56 then you'll want to open up video game
31:58 creation to as many people as possible.
32:00 like start with a prompt and you're
32:02 going to be like, I want to create
32:04 something that is like Pokémon Red uh
32:07 but the art should resemble this and it
32:09 should be in threedimensional space and
32:12 it has 10 missions. So you start
32:13 describing with English what you
32:15 actually want. So is this possible
32:17 today? Like where does the tech the tech
32:19 could do this today? Oh yes. In fact,
32:21 I'm like why has someone done this
32:23 please? Like where are you all at? Uh
32:26 and so I'll tell you some of the things
32:28 that we've done to help facilitate this
32:30 world.
32:31 So using the game engine metaphor, you
32:34 can think of V 0ero as one video game
32:36 that Verscell built and you can think of
32:38 Verscell as a game engine. And so
32:41 there's going to be way many many other
32:43 video games that people are going to
32:44 create. So if you have an idea for an AI
32:46 agent, you can deploy it on the Verscell
32:48 platform. So you can you can do Vzero
32:51 for doctors, you can do Vzero for video
32:54 games, you can do V 0ero for lawyers. So
32:56 any vertical that you can imagine we
32:58 even templatized. So we've open sourced
33:01 a lot of what makes Vzero so great so
33:04 that entrepreneurs can come in and say
33:05 like look I see an opportunity for AI to
33:08 disrupt this space. Let's take the video
33:10 game example real quick. I think you
33:11 made did you make a Doom thing or did
33:13 you do you support Doom or was that an
33:15 AI generated Doom? No. So that was uh
33:18 the one you're talking about is my Doom
33:20 capture thing.
33:22 So, for context, I'm a u I hate capture
33:25 first of all. Like capture is a thing
33:27 where you go to a website and it tells
33:29 you, "Please tell me how many feel
33:31 stupid cuz you're like a bike." That's
33:34 right. It's the bike or select the
33:36 staircases. Yeah. Right. So, I created
33:39 one which was instead of you select
33:42 staircases or stop lights, you have to
33:45 kill three enemies in Doom.
33:48 And funny enough, the idea came over the
33:51 uh Christmas break and what I did is I
33:53 went to Vzero and I said, I want to
33:55 create a capture that looks exactly like
33:58 Google capture cuz it needs to look
34:00 familiar for people for the joke to it
34:02 pops up. Yeah. Yes. And then I basically
34:05 took advantage of the fact that Doom has
34:07 been open sourced. So what I did is, and
34:10 this is kind of like a maybe a little
34:12 bit more of advanced engineering here,
34:14 but like I took a web assembly version
34:16 of Doom that can run inside the browser,
34:19 and I prompted my way to basically spawn
34:23 the user in a very specific level. And
34:26 then this actually involved hacking the
34:28 C codebase of of the of the game. And
34:31 then basically set it up so that it was
34:34 a constrained version of the video game.
34:35 So you kill three players and you pass
34:38 the capture. So it's almost like
34:40 creative engineering you can call it. Uh
34:42 and this is something I think is also
34:44 going to be big in in in in the world.
34:46 You could argue that someone could
34:48 create an entire platform for just
34:51 creative coding. AI for creative coding
34:54 where like the next generation of
34:56 artists are going to be playing in this
34:58 dynamic medium. They're going to be
35:00 offering up things that are highly
35:02 interactive. So you could create the V 0
35:04 for interactive art. Um, so it's kind of
35:07 meta, right? But like I started with
35:08 Vzero and I created this thing and it
35:09 went viral and like there's like three
35:11 or four like news articles written about
35:13 it, but it literally took a couple hours
35:16 of prompting. Like myself, I've been an
35:18 engineer for like, you know, a couple
35:19 decades now and I no longer write code.
35:22 I only prompt. The last one on this
35:24 video game thing, cuz it kind of blows
35:25 my mind that that's possible. I I would
35:27 have assumed it's not possible yet. is
35:28 can it only make very simple Flappy Bird
35:30 style games or can it make like can you
35:32 build a Fortnite? Can it make Fortnite?
35:33 You know, where are we at today of like
35:35 what's actually possible? Yeah. So,
35:36 there's two levels to this. If you go to
35:38 Vzero today, you could prompt and create
35:40 a one-off video game. But the next level
35:42 is that I think there's going to be
35:43 entrepreneurs who are going to create
35:44 the next big AI platforms and deploy
35:47 them to Versell. And so, it depends on
35:49 where you want to play. If you just want
35:50 to create something that looks like
35:51 Fortnite, you could do that today. You
35:53 could just prompt like it's possible.
35:56 Really? Yeah. I mean, I think you'll
35:58 probably go down a journey similar to
36:00 what JavaScript went through where you
36:02 you're going to be able to get something
36:03 basic going and it might take you the
36:06 next 10 years to perfect it to the level
36:08 of what Fortnite is today. But this is
36:10 the beauty of things like Vzero like
36:12 anybody can cook. You can start, you can
36:14 get it out there kind of like Door Dash
36:16 was six PDFs and a website. You can get
36:18 the
36:19 V0ero of Fortnite out there into the
36:22 world. But I think there's also going to
36:24 be ambitious people that maybe have
36:26 skills that are more on the game engine
36:29 side kind of like I created Nex.js and
36:32 can say look there's an opportunity to
36:35 create a framework that works really
36:37 well with LLMs that enables broad
36:42 massive scale game creation. And the
36:44 things that you can facilitate in that
36:46 world are for example for a game to be
36:48 successful it needs really high quality
36:51 textures. and it's really cool art. So
36:54 you can start creating kind of like a
36:56 platform that facilitates bringing the
36:58 art in. So that's why I mentioned with
37:01 you will need software 1.0 skills just
37:04 to create kind of like the platform and
37:06 and create the connective tissue that
37:08 facilitates this highly opinionated
37:10 workflow because creating video games,
37:13 you know, obviously there's a lot that
37:14 is like art and like emergent. the the
37:18 game creator has to come in with an
37:19 idea. But there's a lot of things that
37:21 are highly predictable like there is
37:23 there's kinds of games. There is like
37:25 the 2D platformer. What does a 2D
37:28 platformer need? Well, all of the
37:32 runtime infrastructure, all of the
37:34 things that make a game work already
37:35 exist on the internet. Uh and the AI is
37:38 perfectly capable of sort of
37:40 orchestrating it. So what a game a
37:43 wouldbe game creator would need is a
37:45 very easy way of like generating the the
37:48 game assets. And so what I would do if I
37:51 was an entrepreneur doing this is like I
37:52 would connect it to other image
37:54 generation
37:55 models so that when you come to this
37:57 game creation studio I'm kind of like
38:00 guiding you into like here's all the
38:02 things that you're going to need. Here's
38:03 all the integrations. Sound creation is
38:05 another good example. 11 Labs allows you
38:08 to create sounds with LLMs. In fact,
38:11 I've vi coded a few things that required
38:14 sound and instead of like googling for
38:16 like open source sound effects or
38:19 whatever, I just went to 11 Labs and I
38:21 prompted for that. So, and I can do that
38:24 because I know everything that kind of
38:26 exists in the AI world. I know that 11
38:28 Labs creative engineering. Exactly. But
38:31 imagine a wouldbe game creator that
38:33 doesn't know that. So, they just want to
38:34 go to a platform that has already
38:36 builtin sound creation with AI. And so
38:38 behind the scenes, you can sort of like
38:40 plug this in. So maybe to summarize, I
38:43 think there's all of these permutations
38:45 of technologies that already exist that
38:48 are making new platforms possible. And I
38:51 think entrepreneurs don't need to like
38:53 go and train foundation models. They
38:55 just need to go in and put the pieces
38:58 together into opinionated workflows. The
39:01 things that are becoming obvious to
39:02 people
39:03 today are, you know, AI for legal, AI
39:08 for developers, and I think those are
39:10 kind of like the zero to one is what
39:12 feels very immediate, what feels very
39:14 emergent. I sometimes call it unbundling
39:17 Chad Gubd. When Chad GBD came out,
39:19 people were like, hm, I can ask it for a
39:22 a draft of a NDA. And so people said you
39:27 know you I can take that slice of an
39:29 idea and I can turn it into a legal
39:31 platform. What we realized was like hm
39:33 you can go and ask it for web UI. Chip
39:37 was quite good at outputting you know
39:39 react HTML next.js and so we went and
39:42 said oh this can be vzero this can be a
39:44 whole platform for web development. And
39:46 so I what I challenge people to think
39:48 about is that what are those like
39:50 clusters of queries that people are
39:53 going to chat GBT4 that can become
39:55 entire platforms. And I'm sure there are
39:57 a lot of people that are going to these
39:58 things and saying like I want to create
40:00 a video game. But this is just one of
40:02 the many ideas that I shared on that
40:03 thread. Right. So let's go back to this
40:05 type form idea. So this seems like a
40:07 super simple one which I like cuz like
40:09 you don't need to build like world
40:10 changing blah blah blah just to be able
40:12 just to be able to do this. Yeah. Yeah.
40:14 So that one arose from the fact that if
40:18 you look at why Typeform has been so
40:20 successful, it's an interface
40:23 innovation. It gives you one question at
40:26 a time. It feels friendly for the I mean
40:30 I hate respond to surveys, but the most
40:34 paddable that you can make it for me is
40:36 if you give me one multiple choice
40:38 versus like boom, oh, I'm going to have
40:40 to answer this whole long page. Yeah,
40:41 here's an IRS form. Please fill it out.
40:43 In fact, IRS would probably have way
40:45 higher completion rates and people
40:47 paying taxes on time if like they they
40:49 create a better UI essentially. Have you
40:51 ever used Turboax? By the way, Turboax
40:53 is actually a phenomenal experience.
40:55 Mhm. It's type form. It's one question
40:57 at a time. They don't ask you things
40:59 that you don't know the answers to,
41:00 which is the problem with taxes. So
41:02 smart. They don't like what do you owe?
41:03 No, they just And this is one of the
41:04 golden rules of on boarding, right?
41:06 Forget about forms on boarding. Like
41:09 give me one thing to do. Remove all the
41:13 distractions. Remove all the links that
41:16 might take me out of the flow. I I give
41:18 people this little hack sometimes like
41:21 if you're in a flow where you want
41:22 people to complete a task, why are you
41:24 making the logo clickable and why are
41:27 there like six footer links taking me to
41:29 like the [ __ ] founding story of the
41:32 company, right? Why distract the person?
41:33 So I type form kudos like they they
41:36 nailed that. But I think there might be
41:39 an opportunity on two levels. One is I I
41:41 keep using this formula of if I need to
41:44 create a form and very quickly send it
41:46 to you, I could have the be zero for
41:49 form creation where I prompt my way to
41:53 tune the form. Yeah, because it could
41:55 even come up with the questions for you.
41:56 Exactly. Like, hey, I'm coming up with a
41:58 uh I'm trying to get uh I'm asking my
42:02 friends what dates work for the bachelor
42:03 party. Send a quick survey out to my
42:04 friends. Make it fun. I'm sure someone
42:06 will go to Vzero, listen to this, and
42:08 start creating the AI form creator,
42:12 right? I think it's a really good idea.
42:13 And by the way, I think there's a add-on
42:15 to this. So, I had a similar idea once,
42:17 but uh I was thinking we own this
42:18 business called somewhere.com. Great
42:20 domain name. Yeah, we paid a great price
42:22 for this domain name. I jury's out on
42:24 that one, but you know, you find talent
42:25 in LAM or South Africa or you like your
42:28 story, right? There's talent is
42:29 everywhere. Opportunity is not always
42:31 everywhere. And so when the website, the
42:34 way it works today is you land and you
42:36 click like, okay, I want to start
42:37 hiring. And then there's a long form and
42:39 it's all there. It's a bad experience.
42:40 It's like your name, what you're hiring
42:42 for, your budget, you know, do you need
42:43 a full-time, parttime, whatever. And
42:45 then it says, great, now book a call.
42:47 And then you're going to talk to the
42:47 sales guy. And I'm like, you know, with
42:50 AI, what this should really do is it
42:51 should you should land and be like, hey,
42:53 what are you hiring for? What do you
42:54 need? And you say, what you what I need
42:56 a designer. Cool. So, you know, cool. We
42:59 got plenty of designers. We actually
43:00 just hired designers for X company, XYZ
43:03 company. Tell me, do are you looking for
43:04 a graphic designer or blah blah? Yeah.
43:06 What are they going to do? And you kind
43:07 of just quickly tell it. It says, you
43:09 know, we recently placed somebody like
43:10 this res candidate profile pulled from
43:13 our system. Yeah. And just say, you
43:15 know, would this be the type of person
43:16 that, you know, would fit the type of
43:17 thing you're looking for? They cost this
43:18 much. That's, you know, pretty
43:19 affordable to be able to hire somebody
43:21 of this level of talent. And you're
43:22 like, yeah, yeah, that would be great.
43:24 More like that. It's like, awesome.
43:25 What's your email? I'll send it to you.
43:27 Like, it's a salesperson. It's not a
43:29 form. And it's a salesperson that does
43:30 what all sales people do. They ask
43:32 questions. They follow. They they note
43:34 what you say. They respond
43:35 intelligently. They follow up where they
43:36 need. They disqualify you if you're not
43:38 a good fit. And if you are a fit,
43:39 they're basically giving you bits of
43:41 proof and promise along the way to get
43:43 you to say, "Yes, I can't believe this
43:45 doesn't exist." It's a more dynamic
43:47 interface. Right. So, you said something
43:49 really interesting, which is I think
43:50 when people have ideas, it's like
43:53 they're looking, they're staring into
43:55 like a vector space. They know that
43:57 there's something there that they want
43:58 to do. And this is for everything. Like
44:00 you may have an idea for like a survey
44:01 that you want to send to your customers.
44:04 And you're like, "Yeah, I know that it's
44:06 mostly about getting product feedback
44:08 and how happy they are and what they do
44:11 for work." But you might be forgetting
44:14 that there's a very important question
44:15 that people that do these surveys
44:17 typically ask and you just don't know
44:19 about it. This is why an AI first type
44:22 form would make so much sense because
44:23 when you prompt it, I want this form for
44:25 this thing, it'll know things that you
44:29 don't, right? And and this even goes
44:31 back to and it'll, by the way, summarize
44:33 all the results for you at the end
44:35 because it'll be like, you know, that's
44:37 otherwise a full manual step I have to
44:39 do. Great, we got 300 responses. All
44:41 right, I got to go through those. And
44:43 this is why AI is going to disrupt
44:44 everything because what you just talked
44:46 about like okay I can also bring AI to
44:48 the results process. And my other point
44:51 was you can even bring AI to the
44:53 submission process because instead of
44:55 being rigid and making you select
44:57 between 20 things and then you press
45:00 other and whatever there might be
45:02 innovations also in the maybe it's like
45:04 purely conversational maybe it's hybrid
45:06 conversational and what we call
45:07 generative UI which is that on the fly.
45:10 Exactly. On the fly, it chooses what is
45:13 the right format to answer this question
45:16 and it might learn another thing that
45:19 humans do poorly is where did you hear
45:22 from us and we write down [ __ ] like
45:25 AOL and Google and you're like wait does
45:26 anyone use this anymore that should also
45:29 you should also give it to the AI to
45:32 choose okay this customer is coming from
45:35 Argentina so in Argentina no one uses
45:37 you know they use them on their link
45:39 that's Yeah, you know from GI headers,
45:41 but this is an A++++ idea. There were a
45:44 lot of people nitpicking my idea in the
45:45 in the thread which is like this is a
45:47 freaking tweet storm like I'm not like
45:50 like describing the freaking entire
45:52 company, right? And they were saying no
45:54 but UI is still better because so it's
45:56 like sure but again it doesn't mean that
45:59 the UI is as rigid as it is today and
46:02 that the eight choices of check boxes
46:05 are rigid as well. And in um I remember
46:08 there was this company called Wufu in YC
46:11 batch at one point. They had created a
46:12 beautiful form builder and the form
46:14 builder was all drag and drop and you
46:16 had to select the type of response all
46:19 that stuff is going to go away. In fact,
46:20 I would give you as a rule of thumb that
46:22 if drag and drop is involved as a
46:24 primary
46:26 uh interaction mechanism is probably
46:27 ripe for disruption because no one wants
46:29 to actually drag and drop stuff. You
46:30 just want to say like this is my idea
46:32 just build it. Right. Right. That yeah
46:33 that's like a tell. It's like a poker
46:34 tell. Drag and drop is like the maybe to
46:36 use the software 1.0 and 2.0 metaphor.
46:39 Drag and drop was was making 1.0 more
46:41 paddleable and accessible to more
46:44 people. Visual coding, visual
46:46 programming was that as well. How can we
46:48 make 1.0 more accessible? Well, we
46:50 invented dragging stuff and showing it
46:52 in two dimensional space. Um, let's do
46:55 some more. So, you had one that was
46:56 called AI camera. What's the AI camera
46:58 idea? This was back to like embrace the
47:01 rapper. Embrace the fact that models are
47:04 [ __ ] phenomenal and there's a few
47:07 hyper online people like me that know
47:09 all of them or try to know all of them
47:11 of like deep grand V3 just landed on
47:14 high pays and whatever. Like you're
47:16 paying attention to that level of of
47:18 depth. Yes. But the average consumer
47:19 just wants to take awesome photos. Yeah.
47:22 And so I've been, this one came up
47:25 because we were at a very big meeting
47:28 for a bank that wanted to use Verscell
47:30 in New York and the champion on the bank
47:33 side was like, "Let's take a photo with
47:35 a beautiful like New York backdrop,
47:37 whatever." And it was so awkward that we
47:40 tried it we tried to take the photo 20
47:43 times because it's hard to take a photo
47:45 with like where is the sun and the
47:47 backlight? We want New York to be
47:49 visible, but we want our faces to be
47:50 visible and like someone blinks during
47:53 the photo. And so, I mean, if there's
47:55 men involved in a photo, it's a terrible
47:57 photo. Yes, this is just a general rule.
47:58 Taking it, standing in it, posing in it,
48:01 we don't know how to do any of it. So,
48:02 think of the input from the shutter.
48:05 Think of the click of the camera, and
48:07 this is a software camera, like an
48:09 camera app, as the input into the prompt
48:12 rather than the output. If you're
48:14 extremely good at taking photos, it
48:16 could just be the output. Or maybe it's
48:18 lightly tuned and filtered and whatever
48:20 and it becomes the output. But maybe
48:22 just embrace the fact that it's an idea
48:24 to give the AI, right? And the AI will
48:27 know that if that photo was taken in
48:30 that place, the goal is to obviously
48:32 show people smiling. No one should be
48:34 blinking. The backdrop needs to look
48:37 amazing. And you know maybe actually
48:39 gives you five permutations
48:41 of we know what good looks like. We know
48:44 the shades, the lighting, the maybe it
48:47 removes objects for you. And so I also
48:49 mentioned that there is software 1.0
48:53 techniques and software 2.0 techniques
48:54 to embed into everything. You shouldn't
48:56 believe that you need the perfect model
48:57 that'll make the photo perfect either.
49:00 You can give people a workflow. So, what
49:02 I had imagined at the time was like it's
49:04 going to look like Instagram because I
49:05 love how Instagram you took the photo
49:07 and then filter picker and then it's
49:09 called like San Ramon filter and
49:12 whatever like Oakland and like hipster
49:14 whatever. So imagine it's giving you
49:17 permutations but also maybe it gives you
49:19 the tool to like select something. Maybe
49:22 already I'm just purely brainstorming
49:23 now by the way like you had me like full
49:25 on restoring like there's a model that
49:28 is really good for like that Apple uses
49:30 for like removing objects on the scene.
49:32 So maybe by the time it gives you the
49:35 produce photos all of the objects are
49:37 already movable. So you get cuz what
49:39 happens a lot of the time is someone
49:41 blinks but also there's an object that
49:43 you don't want on the scene like your
49:45 your baby was like crawling in there or
49:47 your dog pooped and like you want to
49:49 take the best one. Argentina what's
49:50 what's the name of that beautiful
49:52 waterfall like the craziest the
49:53 waterfall Iazu falls Iguazu Falls. Take
49:55 out the tourist. I go there with my my
49:57 fiance and we we take this photo under
50:00 the waterfall. we're kissing is somebody
50:02 takes a photo and there's this dude in
50:04 the like kind of the ang you know in the
50:06 background there and he's got his shirt
50:08 off and he's taking like a photo for the
50:10 boys and it's like ruined this photo and
50:12 my wife is like I want to frame it cuz I
50:14 think it's so funny and she's like been
50:16 trying to find a photo shopper to like
50:18 get rid of this thing and you're right
50:20 like that would be like her dream would
50:22 be the magic magic camera that says let
50:24 me guess you want this guy out of here
50:26 and we have the model that is good at
50:28 taking you know detection and then good
50:30 at removal.
50:31 automatically. Yeah. And uh this is all
50:33 possible today. You know, your job will
50:35 mostly be to combine models, create
50:37 pipelines of models, prompting even,
50:40 right? Do you think that Apple will just
50:42 make this kind of default in the camera?
50:44 I mean, Apple could have shipped
50:45 Instagram, Apple could have shipped so
50:47 many things like Apple could also ship
50:49 that the zoom annoying pop over of
50:51 facial effects, whatever goes away and
50:54 they haven't is still broken like when
50:56 the balloons come up. So, I know I'm I'm
50:58 in a post worrying about what Apple does
51:00 world. I'm actually more worried about
51:02 their constraints on developer freedom
51:05 on how they tax you and only let you run
51:08 one browser engine. That's kind of my
51:10 mental model. Like Apple is like in the
51:12 IBM phase of like let's preserve what we
51:15 have at all cost and litigate. Like
51:17 they're almost becoming like Oracle of
51:19 our generation purely. It's all about
51:21 terms of service and 2.1.1 prohibits
51:25 this. is like hopefully, you know, I'm
51:28 saying this so that the company becomes
51:30 better in the interest of like open
51:32 public feedback. Tim Sweeney from um
51:36 Unreal from Epic Games just had a
51:39 similar comment on the Lexman podcast. I
51:42 think there needs to be a world where
51:45 developers can just ship. That's the
51:47 main idea of Versel and like Apple has
51:49 sort of been constraining that. So I'll
51:51 tell you like there's so many cameras
51:54 that you can ship to the phone that
51:55 people love, right? So there is holiday
51:58 camera I think it's called and it's
52:00 pronounced. Um there is obviously
52:03 Instagram is a camera, right? So Savage
52:05 is a camera. So yeah and and also but
52:08 it's also time like you know these
52:09 things come in these waves about every
52:10 seven 8 10 years the window reopens on
52:14 you know the these kind of like uh
52:16 things. If you just look at Instagram
52:17 and Snapchat when they came out, it was
52:20 sort of like this 8-year period after
52:21 Facebook came out and like there was
52:23 enough new stuff, new either new social
52:25 norms like people taking pictures
52:27 everywhere, new technology like
52:29 smartphones that all of a sudden there
52:31 was like an opportunity for those. It's
52:33 now been another 10 years post Snapchat
52:37 and Instagram for somebody to build a
52:39 better camera. And there's a wedge
52:41 through utility. Like you can build a
52:42 better camera, you can build a better
52:43 like oh just import your photos, start
52:45 editing like the the exact approach like
52:48 I mean who knows how this is going to
52:49 happen but it has to happen. It has to
52:51 happen that like I can take great photos
52:54 even if I don't if I didn't capture
52:56 everything perfectly like the AI is
52:58 already there like just make it happen
52:59 people. Yeah, you could even actually
53:01 just do the camera roll part, right?
53:02 Because you know Google photos and all
53:03 these they try to do this like hey we
53:04 made a memory and like you know like my
53:06 my mom loves these. It's like oh I
53:08 forgot about that. It's stitched
53:09 together and it put corny music on top.
53:11 There's no cool factor to them. Those
53:13 are all pretty totally bad, but it's
53:15 your photos and your memory, so it's
53:16 still good enough. Imagine if you had
53:18 taste and you did it. Like imagine if
53:19 Kevin and you you realize, oh, there's a
53:22 gold mine on people's camera rolls that
53:24 I could just be generating. I could just
53:25 be mining that and creating like
53:27 actually good content. Yeah, there's so
53:29 many thoughts that come to mind. One is
53:31 look, brilliant things happen when
53:34 people focus and obsess over a problem
53:36 domain. So the operating system makers
53:39 have so many iris in the fire and there
53:42 has to be someone that just loves to
53:45 take great photos and who wants to
53:46 democratize that with everybody else,
53:48 right? So that's kind of how I think
53:49 about it and there's so many angles.
53:51 There is the memory video creation,
53:54 there is the photo, there is some
53:56 aspects of sharability of the photos. So
53:59 who knows? I mean like I think my
54:01 prediction is more so around like
54:02 something amazing is going to happen in
54:04 this space more than like what is the
54:05 specific thing. All right, I want to do
54:07 a couple of your other ideas. Oh, this
54:09 one was clever. Absurdly smart
54:11 autocomplete. Like I didn't know when
54:13 you said that I was like autocomplete,
54:14 who cares? And then I saw your kind of
54:16 like brief description. I was like,
54:18 that's actually brilliant. Can you
54:19 explain what this idea is? Yeah, I think
54:22 when it started to become obvious that
54:24 LLMs were going to transform software
54:27 engineering, it was when we started
54:29 typing code into a code editor and it
54:32 just suggested stuff based on the whole
54:35 project, the whole sort of corpus of
54:37 code that has existed in in humanity.
54:40 The next wrinkle was that things get
54:44 better the richer the context.
54:47 So, if you only give the LLM one line of
54:51 code and nothing else, it'll still
54:54 produce something useful and it'll blow
54:56 people's minds. And I think we're in the
54:58 time of humanity when like things blow
55:01 our minds for like a week and then we
55:02 get immediately bored and used to it.
55:05 Um, but the next wrinkle was what if you
55:08 put the content of your clipboard into
55:10 the into the prompt because developers
55:14 typically are like what they just saw
55:17 they put into their clipboard because
55:19 they intend to search for it or make a
55:21 mutation. So what's in the clipboard is
55:24 likely to be kind of what's in your
55:26 mind. Could help. Yeah. Right. And so
55:28 auto completions get better and then
55:31 they get better with more context and I
55:32 get smarter models and and with search
55:35 because
55:36 now when I am in a different file, I'm
55:41 likely to be writing code that is
55:42 related to the dependency of this other
55:45 file. So long story short, things get
55:48 better with better context. And autocomp
55:51 completion is sort of the first
55:52 manifestation of how LLMs and AIS can
55:56 enhance your cognitive ability. Yeah. I
55:58 mean it's just in time expertise. Yes.
56:01 Right. Like in line right while I'm
56:04 writing it. Yes. Give me the perfect
56:05 thing right there without me having to
56:07 leave go ask think think of a question.
56:09 Just give me a suggestion right there.
56:11 So now what's the that worked in code
56:13 you're saying what about the rest? Yeah.
56:16 Exactly. And and I get frustrated with
56:18 like how bad spellch checking is. So if
56:21 you look at, you know, Mac OS spell
56:24 checker has gotten better over the
56:25 years, but it just doesn't know the
56:29 things that you literally saw 10 seconds
56:31 ago. Like someone tells you, "Hey, can
56:33 you can you send me the B 0?"
56:36 Someone says in Slack and then you go to
56:39 an email and you start writing Vzero and
56:43 and Apple goes I think you meant via
56:48 like it comes up with a new word. It's
56:49 like no no I literally just was talking
56:51 about this. How could I possibly want to
56:53 not write that down? And so that's kind
56:56 of where the inspiration came for it and
56:58 I think there's a lot of ways to go
57:00 about this. like one is like you enhance
57:02 the operating system is not a is a
57:05 non-trivial task but I think this
57:08 general idea applies to so many things
57:11 where we forget that the LLMs are here
57:16 the context is not evenly distributed
57:18 meaning if you just put the right things
57:21 into the prompt magic will happen
57:24 without changing the actual sort of
57:26 engine of intelligence and so that
57:30 example you gave of like the V01 sounds
57:32 minor like oh who cares you it's you
57:33 just push bat space twice and just fix
57:36 it but what you're saying is if the AI
57:39 knows what I'm talking about what I'm
57:41 thinking about what I'm working on what
57:42 we're doing then in the same way that in
57:45 code it auto suggests the right code
57:47 because it knows about my whole all the
57:49 multiple files and the projects it'll do
57:51 the same when I write that email it
57:52 won't just give me the generic thing it
57:54 knows how I talk and it knows what we
57:55 were talking about and it knows what the
57:56 plan was that I'm trying to relate to
57:58 this guy yeah it's like the Black mirror
58:00 the entire history of you. Is that the
58:02 one where the camera is like it's like
58:04 your external memory basically? Yeah.
58:06 The other thing that's really
58:07 interesting is that this systems are all
58:09 about next token prediction, right? And
58:12 right now we're not fully exploiting
58:14 that because we're not putting in the
58:16 sequence of everything we're doing and
58:18 everything we're thinking about. Every
58:19 time you go from app to app that context
58:22 is getting lost and we typically
58:24 actually tend to work sequentially. What
58:26 happens is I read an email that is about
58:29 a problem and then I go to another app
58:32 and I'm likely going to discuss that
58:34 problem or I'm going to try to look for
58:36 the person that is an expert in that
58:37 problem. So the other way to go about
58:40 this is like you know how can you ingest
58:44 this series of apps and integrations and
58:47 systems that people use to do their work
58:49 and you connect the dots. There's one
58:51 more that you have here. You said uh
58:54 more granular v0ero. So this is almost
58:57 like hey come disrupt us. Yeah it's is
59:00 what I talked about with the game engine
59:01 right like just like chat GPD got broken
59:04 down into like individual things. We
59:06 have a big effort at Verscell to sort of
59:08 like we want to be the platform of
59:10 platforms. We want the next Shopify to
59:13 be born on Versell. And what I
59:16 anticipate will happen is that if an
59:18 entrepreneur says, I want to make it
59:20 easy for people to sell online, they're
59:23 probably just like we did with the type
59:25 form exercise, they're probably going to
59:26 start with AI. They're going to they're
59:28 not going to build the same Shopify that
59:30 exists today. They're going to create
59:31 something that starts with intelligence.
59:34 It starts with maybe importing a photo
59:36 of the product that you want to sell.
59:38 Maybe it starts with a prompt of what
59:39 you want your store to be. Maybe it's so
59:42 smart that like if it's a physical store
59:43 that already exists, it knows everything
59:45 about it. Just like one button, create
59:46 the store and it ingests all the
59:48 products and sues and categories and
59:50 whatever. So similar to the game engine
59:52 thought experiment that we went through
59:54 like that would be a more granular
59:56 vzero. It's like okay biz can create
59:58 anything but and the reason that this
60:00 would work out is that it's the same
60:02 reason that Shopify worked out like
60:04 there's things that are very general
60:06 like AWS like Verscell you know Verscell
60:08 is sort of like a AWS on steroids in a
60:11 way like we're making it so easy for
60:13 people but it's still a broad platform
60:16 on top of which any idea can be deployed
60:18 and so I really believe that AI will
60:20 transform everything it'll transform
60:22 website building it will transform
60:23 e-commerce it will transform form
60:25 building So, a lot of the exercises that
60:27 I do is that look, there's going to be
60:29 Vzero for legal. Uh, our our general
60:32 counsel uses a tool called
60:35 GC.AI. GC.AI is essentially Vzero for
60:39 lawyers and it was built on the Versell
60:41 platform and and the other wrinkle and
60:43 it's used to what build their website
60:44 only or this is for drafting contracts.
60:47 So like you can prompt your way to you
60:49 know saying like I need this contract
60:52 between these two parties or I need to
60:53 review a contract and I need to import
60:55 documents. And so that's kind of what I
60:57 mean by the more granular visitor is
60:59 more like a theme that a specific idea.
61:02 One of the other things I wanted to ask
61:04 you about something I brought for you. I
61:06 thought this was incredible. This is a
61:08 piece of uh you know internet internet
61:10 history here. So explain what I just
61:12 handed you and the the backstory of
61:14 this. Thanks for printing this out
61:15 because I use this example. so much as
61:17 like the magic of Silicon Valley. I was
61:20 I ended up at this party, you know, the
61:22 classic like could have been an office
61:24 warming party, something along these
61:26 lines or like meetup and people were,
61:29 you know, having conversations, passing
61:31 out drinks and he met this gentleman
61:33 named Brian
61:34 Armstrong and he did something that I
61:37 find myself doing a lot is I walk up to
61:39 people not with networking agendas or
61:44 random ideas. I walk up to people with
61:46 content. I want to show them something.
61:49 Okay. I want to show them an app. I walk
61:51 up to people. Strangers, you mean or
61:52 what are you talking about? Well, people
61:54 in the concept of like networking, I
61:56 might have been whatever, but I could do
61:58 it with an Uber driver. Like I I have no
62:00 limits. Uh I I take no prisoners. So, he
62:04 walked up to me and he's like, "Here's a
62:07 I'm working on
62:08 Coinbase. It's uh it's like a bank for
62:11 digital currency and I'm building an
62:14 app." and he shows me the app and then
62:16 he goes, "If you install the app, I'll
62:19 send you a Bitcoin." Just think about
62:21 how crazy that is. Like, if you install
62:24 an app, like f first of all, twist my
62:26 arm. I love trying out new things,
62:28 right? And I loved Bitcoin at that time.
62:31 I'll give you $100,000 or whatever. The
62:34 date the date is on this email. What
62:35 year was this uh that we're talking
62:36 about? So, November 9th, 2012.
62:39 So, it's the magic of the Bay Area
62:42 because you can just walk up on both
62:45 sides. You can just walk up to people
62:47 and show them things. You can see their
62:50 reactions. You can get their feedback,
62:52 etc., etc. And on my side, and there's
62:54 some people on the street that will show
62:55 you some things you didn't ask for, too.
62:57 That's another part of San Francisco.
62:59 Okay. Yeah, for sure. Uh, it comes with
63:01 a lot of diversity. And uh but on my
63:05 side, you know, it's like well, you can
63:07 be the on the receiving end of new
63:09 ideas, new opportunities, new like you
63:12 can invest like if I had been an
63:14 investor at the time, I was like, hey,
63:15 this Brian guys is pretty smart and he's
63:17 hustling hard and digital currency.
63:20 Might as well give it a shot, right? So
63:22 yeah, thanks for So he sent you this
63:24 email. He sent you the Bitcoin. The
63:26 thing is that it says worth
63:30 $1081 for the app installed. Now that's
63:32 $103,000 as of this morning. Yeah. And
63:35 then I actually ended up following
63:37 Coinbase for many years. At the time I
63:39 think I was poor or I had just began I I
63:43 can't remember exactly when I sold my
63:44 company, but I couldn't angel invest
63:46 most likely at this time. But that was
63:48 the other thing that I started doing
63:49 when I sold my my first company, right?
63:51 Like I put it all back into the game,
63:54 which is kind of crazy. In fact, I
63:56 talked to this guy who I really
63:58 respected in the JavaScript community
64:00 and and he was like he was also starting
64:03 to do angel investments and he goes,
64:05 "Well, the way that I treat bit Bitcoin
64:07 is like an angel investment. I put in a
64:10 $20,000 check into Bitcoin." And I
64:12 remember when I sold my company, I did
64:14 that. uh and and it was probably also
64:16 because of the serendipity of like
64:17 having Coinbase and you know this
64:20 infrastructure that that was nent but I
64:22 was I had been exposed to the magic of
64:24 Silicon Valley is that you can still do
64:26 the things you can just like make things
64:29 happen. Did it also help that you were
64:32 you know born and raised in Argentina
64:34 and you had seemed kind of like maybe
64:36 you questioned currency more than the
64:38 average bear did right like oh 100%
64:40 100%. So the concrete memory, I was a
64:43 young child, but it had everyone in
64:46 Argentina stressed the f out was, and
64:51 people can fact check us and look this
64:52 up, but it was like I think we had like
64:53 three presidents in three
64:57 days. One president had almost like uh I
65:00 think he he ra quit
65:02 uh because it was an economic and
65:04 financial meltdown. I think it was this
65:06 was about like 2000 2001.
65:09 The next guy comes in and he's like,
65:11 "Oh, cool." And the vice president
65:13 becomes president. Something along the
65:14 lines is like, "Cool. I'll try to fix
65:16 it." Two weeks in, he's out, too. And
65:19 then someone comes in who I I'm not even
65:21 sure if he was like literally like next
65:23 in line. Another guy comes in and I
65:26 think this is the guy that I'm pretty
65:28 sure is the third
65:29 guy that goes to national TV. They did
65:33 they do the whole thing where like they
65:34 interrupt all of the ongoing channels
65:36 and they like president comes in. is
65:38 like he's addressing the financial
65:40 turmoil and he's
65:42 saying look there's a lot of noise about
65:46 how your dollar savings will get lost
65:51 uh and they might get converted into
65:54 pesos and they might get converted at a
65:57 nonbeneficial rate and he said do not
66:01 worry Argentinians and this is on
66:02 national TV fully synchronized across
66:04 every screen in the country do not worry
66:06 your dollars are safe. If you deposited
66:09 dollars, this is the exact quote. If you
66:11 deposited dollars, you will receive
66:13 dollars. If you deposited Argentinian
66:15 pesos, you will receive Argentinian
66:17 pesos. Literally a week later, it didn't
66:20 happen. The dollars got converted into
66:23 pesos and then the currency lost its
66:26 value. So, basically, your money was
66:30 stolen from you.
66:32 uh the banks were in uh cahoots with the
66:37 government to make this transactions
66:40 happen. Your money is effectively just
66:42 like when when people joke I I take it
66:45 personally to see Michael Jordan. People
66:47 joke, oh, Bitcoin is just a database. We
66:50 could replace it with Postgress and we
66:52 would get a lot more throughput. say,
66:54 "Well, not really. What we had in
66:56 Argentina was Postgress or maybe worse,
66:59 maybe it was Excel or something and like
67:01 and the government literally did go in
67:03 and in the currency column said select
67:07 all convert, you know, I mean like that
67:10 is a database that is not immutable."
67:12 And so I became extremely pilled with
67:15 Bitcoin because I have that like I have
67:17 the concrete memory and I have my dad
67:20 screaming at the screen and saying like
67:22 these people are so corrupt. They're
67:23 like screaming. And then the other thing
67:25 that happened was all these protests of
67:28 people that had large dollar savings
67:30 that uh it was so terrible because RC
67:34 has been guilty of this before MLE many
67:37 times of like if you're rich that's
67:40 frowned upon that's terrible. you
67:42 probably got rich by screwing someone
67:43 up. That is like how the culture was
67:45 largely configured. So it was very hard
67:48 to empathize with this protest that
67:50 would happen because people would
67:51 literally be outside of the banks
67:52 protesting that their savings got
67:55 stolen. But the way that it would get
67:58 sort of um um you know manipulated by
68:02 the media was are you going to empathize
68:04 with that rich guy? Oh, poor him. He's
68:07 complaining about his huge dollar
68:09 savings. So that added even more insult
68:11 to the injury that there was no empathy
68:13 to people that were losing their money.
68:15 And so you know the Bitcoin seems so
68:19 obvious in the context of like we need a
68:21 globally distributed database that is
68:23 immutable that has extreme security
68:26 guarantees because this is your life.
68:28 This is your the things that you might
68:30 leave for your kids. This is everything
68:33 you've worked your entire life for. You
68:35 you cannot trust any given actor. You
68:39 cannot trust the government. You cannot
68:40 trust the banks. You cannot trust, you
68:43 know, your friends. You cannot trust
68:45 anyone. Like, you need to be able to
68:47 have cryptographic certainty. You can
68:50 only trust math and the universe, which
68:52 is kind of like the two emerging
68:53 properties of it. You trust the universe
68:55 in terms of like the energetic
68:57 uh demands on top of which Bitcoin banks
69:00 that it's so hard to mint a block,
69:04 right? Right. And it's so hard to
69:05 manipulate and do this cyber attacks and
69:07 whatnot. And you're also banking on the
69:09 cryptographic verification. Like you you
69:12 if you want you can be a node and verify
69:15 the blockchain yourself with software
69:18 that you run as opposed to trusting the
69:20 world of like is this legit? Is this the
69:23 chain that I should be looking at? Which
69:25 is why I mean we can go into a whole
69:26 different tangent but like I've always
69:29 been uh somewhat unsympathetic to non-p
69:32 proofof work systems because they create
69:34 an uncertainty about what is the right
69:36 chain to be looking at and um uh in in
69:40 that category falls like Ethereum and a
69:42 few others. Two questions for you.
69:44 One uh given that you went through that
69:49 do you like kind of denominate yourself
69:51 in Bitcoin? Do you like put a huge
69:52 percentage of your own net worth in
69:54 Bitcoin or like how have you decided to
69:56 do that? I put my entire net worth into
69:59 Verscell. I've I've I so having said all
70:02 of this, I always think about the mental
70:06 model that Warren Buffett has offered of
70:08 like if I have if I could have a cube of
70:11 all gold on the planet and like I would
70:14 look at it, it's like, oh, it's this
70:15 shiny block of gold or I could have a
70:18 cube of all of the productive farmland
70:21 in the US and all of its companies. What
70:24 cube would I rather own? But it is a
70:27 false dichotomy. I want to own both. I
70:30 want Bitcoin and I want assets in
70:33 product productive assets that are going
70:35 to grow over time that I also want to
70:37 support. And so I like the idea of by
70:40 far first and foremost placing a bet on
70:41 myself and Verscell. So that's kind of
70:43 my primary net worth. But if Bitcoin is
70:47 not some percentage of my net worth, I
70:49 would be really worried because I would
70:51 not have
70:52 that rock solid foundation that I missed
70:56 when I was in Argentina. like it it
70:58 didn't feel like I had access to
71:00 something that could be so reliable and
71:02 trustworthy. So I am a fan of a
71:04 potential future in which everything is
71:06 denominated under the hood. Everything
71:08 is rebased on top of this system. That
71:11 would be really cool. I uh so when I do
71:13 these podcasts like the way I people
71:16 think that this is the oh how did it go
71:18 and I'm like it's good or bad. Actually,
71:20 for me, I get the win far before we sit
71:22 down because I when I know you're coming
71:24 on, I go down a rabbit hole of Gearmo
71:26 and I go and I read your old stuff and I
71:28 learn from you. That's where I get and
71:30 I'm in I'm in this for the wisdom. So,
71:31 I'm like I'm looking for the golden
71:33 nuggets, the insights, the wisdom, the
71:35 frameworks that he uses, the stories
71:37 that inspire me or I can remember or I
71:39 can tie to my own life. So, by the time
71:41 I sit down here, this is all gravy. Now,
71:43 I'm here just having chicken nuggets.
71:44 I'm eating lunch. But one of the things
71:46 I saw on your old blog, I think it was
71:47 like 2016 or something. It was um a
71:49 newspaper clipping. I forget who it was,
71:51 if it was Edison or who it was, but they
71:53 had this idea of the energy dollar. It's
71:55 wild. It's wild. I've never heard of
71:57 this, but like I guess back in the day,
71:59 like the Was it Edison or I don't
72:00 remember who it was. It might have been
72:01 Ford. I can't remember. Yeah. It was
72:03 like two of like kind of the luminaries
72:05 of the time. It was like Ford and
72:06 somebody else. And they were talking
72:08 about this concept of an energy dollar.
72:10 They're like, "Hey, we need a currency
72:12 that's based off of like the production
72:14 of jewels, you know, jewels of energy,
72:16 jewels of electricity or work and then
72:18 that'll be a more sort of like rock
72:19 solid." Like it tracks reality. It
72:22 tracks the universe perfectly, right?
72:24 It's it's also related to the cardv
72:26 scale and like our ability to capture
72:29 energy from our nearby star and the
72:31 types of civilizations that we are. And
72:34 the other one that the the reason I've
72:36 been actually also thinking about this
72:37 more recently is we're clearly entering
72:40 a world in which energy can be
72:43 transmuted into intelligence. I mean
72:46 it's already the case that I can do so
72:48 much test time compute that any any
72:52 problem seems tractable with enough
72:56 cycles of GPUs and the only limiting
72:58 factor does seem to be our ability to
73:01 harness energy. And
73:03 so the the unit of wealth or or the
73:07 store of wealth has to be something that
73:09 is rare, right? And it has to be
73:12 something that's provable. And so the
73:15 idea of tracking our Yeah. our
73:18 fundamental store of wealth through
73:20 energy. I mean, I'm very intrigued by
73:22 that. So Well, dude, thanks for coming
73:25 on. I think what you've built is
73:26 amazing. Your story is great. Your big
73:28 ball of energy and some of these ideas
73:30 are really, really good.
73:31 I'll share more. So, there's a one more
73:33 there's a free ideas 2 thread coming on
73:37 X. So, okay. The sequel is it going to
73:40 be like a shitty movie sequel where, you
73:42 know, just doesn't. But I did set a high
73:45 bar. I don't want to I don't want to
73:46 brag. Obviously, when that comes out,
73:47 can we do Brainstorm 2 on here where we
73:49 riff on them because uh that's what we
73:51 do here. So, all right, man. Thank you
73:52 so much.
73:54 [Music]