WEBVTT - Founder of Zynga Mark Pincus Talks Outlook on AI

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>We're gonna stay in technology and how it continues to

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<v Speaker 2>transform himid the AI backdrop, and it takes us to

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<v Speaker 2>someone who's been innovating and disrupting as well, and remembers

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<v Speaker 2>all too well the boom and bust and changing landscape

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<v Speaker 2>of the dot com era. He's best known as the

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<v Speaker 2>founder and CEO of Zinga, the social games company that

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<v Speaker 2>iPod in twenty eleven, but he's built and invested in

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<v Speaker 2>so much more and through every iteration of the Internet,

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<v Speaker 2>the nineties boom and bust, the social media boom of

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<v Speaker 2>Web two point zero, and now the AI era. Carol.

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<v Speaker 2>He's also a prolific investor.

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<v Speaker 3>He is. Indeed, he's invested you'll know these names, folks, Napster, SpaceX,

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<v Speaker 3>and he had he held on to his shares. His

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<v Speaker 3>thirty eight thousand dollars seat investment in Facebook now Meta

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<v Speaker 3>for about half a percentage of the company would be

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<v Speaker 3>worth many, many billions of dollars right now. Smart investment.

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<v Speaker 2>I would say, we're talking about Mark Pinkas he's got

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<v Speaker 2>a new book out and we know all this thanks

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<v Speaker 2>to the new book. It's called Life at the speed

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<v Speaker 2>of play, launch products, people love. Mark Pinkus joins us

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<v Speaker 2>here in the Blue and Interactive Broker's Studio. Welcome, Welcome,

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<v Speaker 2>How are you. Congrats on the book.

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<v Speaker 1>Thanks, thanks, by the way, I really am happy about

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<v Speaker 1>the memory stocks.

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<v Speaker 4>What's why?

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<v Speaker 1>Well, for diving right into the AI trade, let's not

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<v Speaker 1>mess around. I'd say that that it's it's a pretty

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<v Speaker 1>simple trade at this point.

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<v Speaker 4>It's a belief.

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<v Speaker 1>And either you believe that the AI infrastructure investment is

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<v Speaker 1>going to pay off and keep playing out, in which

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<v Speaker 1>case all of these companies are generationally undervalued and it's

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<v Speaker 1>a generational buying opportunity.

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<v Speaker 4>If you're getting a PEG ratio of.

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<v Speaker 1>Point three you know or less, or you think that

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<v Speaker 1>it's not going to play out, and then you should

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<v Speaker 1>stay away from all of it.

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<v Speaker 4>So well, I'm a believer.

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<v Speaker 2>It's funny because we just spoke with you with Ted Oakley.

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<v Speaker 2>He manages money for Oxbow Advisors, and he sent us

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<v Speaker 2>a bunch of stocks, and missing from there we're names

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<v Speaker 2>and memory names. He does own some tech, but he

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<v Speaker 2>said the memory got too expensive. And he said, I've

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<v Speaker 2>been doing this for decade, many decades. I remember the

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<v Speaker 2>nineteen nineties we sold Intel, and I watched Intel stocko

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<v Speaker 2>up for the next twelve months before then it went down.

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<v Speaker 2>So he understands these cycles. Are we in one of

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<v Speaker 2>those cyclical moments right now?

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<v Speaker 1>Well, we'll know in the future, but it'll be it's

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<v Speaker 1>only cyclical if this, if these AI growth rates and

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<v Speaker 1>numbers don't play out, If they play out, I think

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<v Speaker 1>he would even agree that they're still undervalued.

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<v Speaker 3>You know, Mark, one of the things that we're thinking,

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<v Speaker 3>we want to get into the book and talk about

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<v Speaker 3>the you know, life at the speed of play and

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<v Speaker 3>what it all means.

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<v Speaker 4>But we are curious.

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<v Speaker 3>You have been in Silicon Valley for all of the

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<v Speaker 3>iterations of the mettle no no season, like a great wine.

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<v Speaker 3>Like That's how I think it. Love talking with people

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<v Speaker 3>who have seen cycles right and can sometimes figure out

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<v Speaker 3>the silly from the stuff that really matters. How do

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<v Speaker 3>you like, how do we make sense? Like we see

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<v Speaker 3>the money going in, We see the circular financing that

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<v Speaker 3>makes us a little uncomfortable. We see the narrative around

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<v Speaker 3>AI changing. I get it, disruption, this is what happened.

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<v Speaker 3>But help us understand, like is this a boom cycle

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<v Speaker 3>with no bust? Or is there going to be a

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<v Speaker 3>breaking point at some point or for only maybe for.

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<v Speaker 4>Some it's the I have the perfect answer.

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<v Speaker 3>You wouldn't be talking to us.

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<v Speaker 4>I would have held my metastoptik.

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<v Speaker 3>You did, okay, you did, okay? How do you think

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<v Speaker 3>some of this?

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<v Speaker 1>I built a boring enterprise software company in the middle

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<v Speaker 1>of the dot com boom. You know, it was called

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<v Speaker 1>support dot Com, but it was actually an early SaaS company.

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<v Speaker 1>We went public on the last day of the IPO window.

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<v Speaker 1>I'd say that then versus now. My peers and I

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<v Speaker 1>thought it.

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<v Speaker 4>Didn't make any sense.

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<v Speaker 1>During the dot com bubble, we thought it was crazy

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<v Speaker 1>what we saw going on around us. And now my peers,

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<v Speaker 1>my smartest friends, think this makes a lot of sense.

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<v Speaker 1>I mean, it's it was dark fiber then and now

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<v Speaker 1>it's like hot GPUs.

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<v Speaker 4>I mean it's actually being used.

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<v Speaker 1>It was betting on a whole consumer that that didn't show.

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<v Speaker 4>Up or didn't show up yet.

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<v Speaker 1>And now the the investment the infrastructure is going to

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<v Speaker 1>enterprises who are bottom line oriented. And you know, then

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<v Speaker 1>it was eyeballs and now it's arr you know, it's

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<v Speaker 1>it's actual revenue. So it's definitely not the same. I

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<v Speaker 1>think what we do have is extreme volatility. And I

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<v Speaker 1>think that the volatility comes from where it's hard to

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<v Speaker 1>remember this level of growth market. And when there's this

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<v Speaker 1>level of growth like we've seen just this week and today,

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<v Speaker 1>when there is a negative data point or even absence

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<v Speaker 1>of more positives, it starts to be run for the

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<v Speaker 1>hills and doom and bubble. And then when we see

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<v Speaker 1>like microns numbers and guidance, all of a sudden, everyone's

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<v Speaker 1>bullish again, and we're going to keep seeing that.

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<v Speaker 4>It's my take.

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<v Speaker 2>One thing that you write about in the book repeatedly

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<v Speaker 2>is that you know, when you get into your whole

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<v Speaker 2>background Wharton, Harvard Business School, going and working for some investors,

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<v Speaker 2>that our household names of the Bloomberg audience, I mean

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<v Speaker 2>Steve Ratner, John Malone, I mean, these are legends. You

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<v Speaker 2>are constantly saying you don't know how to code, you

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<v Speaker 2>don't know how to write code, yet you built all

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<v Speaker 2>these companies. What struck me about reading that was that

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<v Speaker 2>that kind of doesn't matter now in a way that

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<v Speaker 2>it mattered when you were building all these companies. You

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<v Speaker 2>write about, how has the idea of like open Ayes,

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<v Speaker 2>Codex or Claude code from an How does that completely

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<v Speaker 2>change the game moving forward?

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<v Speaker 4>Well, if you.

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<v Speaker 1>Pull the camera back and even think more broadly, like,

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<v Speaker 1>how has the game of startups just changed? And how

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<v Speaker 1>has this another step function changed? In each chapter, the

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<v Speaker 1>amount of capital that you needed to get going has

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<v Speaker 1>gone down, you know, not up. When I was starting

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<v Speaker 1>my first company, I had to recruit these government mainframe programmers,

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<v Speaker 1>have them learn C plus plus and HTML, and I

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<v Speaker 1>needed a fair amount of money to convince them to

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<v Speaker 1>quit their jobs.

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<v Speaker 4>And each my subsequent companies.

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<v Speaker 1>Today, you know you don't need that, right, You don't

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<v Speaker 1>need as much capital. You don't need to go and

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<v Speaker 1>necessarily recruit a whole team of the world's best engineers.

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<v Speaker 4>It's being democratized today.

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<v Speaker 1>Really there, it's more possible than ever for somebody with

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<v Speaker 1>an amazing idea who's willing to move on it now

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<v Speaker 1>to really get somewhere in a far more capital efficient way.

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<v Speaker 3>Yeah, I mean, I feel like we also said that

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<v Speaker 3>in the pandemic of people just being able to start

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<v Speaker 3>things while they were home. I am curious about the

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<v Speaker 3>speed of play because that is on your book. Talk

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<v Speaker 3>to us about that and the importance of it.

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<v Speaker 1>Sure, so there was a lot of debate with my

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<v Speaker 1>co author Carly, my amazing editor Hollis.

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<v Speaker 4>On the title to the book.

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<v Speaker 1>It was originally called proven Better New, which we can

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<v Speaker 1>get into. But that's that's kind of some of the

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<v Speaker 1>core value in the book, and I eventually said, you know,

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<v Speaker 1>it's just that's not the whole gist of the book.

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<v Speaker 1>It's life at the speed of play. And that's because

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<v Speaker 1>it's both. It's both the place that we are moving

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<v Speaker 1>into in this AI era. It's it's really I like,

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<v Speaker 1>I start the book by saying that that this is

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<v Speaker 1>Elon is the one person who's already been living his

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<v Speaker 1>life at this b of play, and I definitely think

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<v Speaker 1>he's having more fun than the rest of us.

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<v Speaker 4>Okay, he's also working harder.

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<v Speaker 2>I want to push back on this because Caroly and

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<v Speaker 2>I talked about this.

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<v Speaker 3>He doesn't always look like he's having fun.

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<v Speaker 2>Yeah, he really. I mean, I think he's been really

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<v Speaker 2>public about having this tortured existence and how difficult it

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<v Speaker 2>is to be Elon Musk and the challenges that he

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<v Speaker 2>struggled with personally, I think more so than professionally. Do

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<v Speaker 2>you actually think he's having more fun than the rest

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<v Speaker 2>of us?

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<v Speaker 4>I do.

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<v Speaker 1>He's got an amazing sense of humor. He's every time

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<v Speaker 1>I see him, he's joking, laughing. I was with him

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<v Speaker 1>at a friend's house one night and it wasn't long

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<v Speaker 1>after he had bought Twitter, and it was basically like

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<v Speaker 1>an hour of the best stand up comedy I've ever seen.

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<v Speaker 1>I mean, he the way he talked about his experience

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<v Speaker 1>of coming in to Twitter and how insane the company

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<v Speaker 1>was was just was just really funny. So so my

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<v Speaker 1>point of view, I mean, whether he's having more fun,

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<v Speaker 1>who knows. I think that that what I what we

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<v Speaker 1>can see, you know, I said, maybe he's the one

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<v Speaker 1>who solved the simulation. What we can see is that

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<v Speaker 1>he can almost tweet something into existence that he said, there,

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<v Speaker 1>this traffic in la is terrible. There should be a

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<v Speaker 1>boring tunneling company. And then a few months later and

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<v Speaker 1>a few billion dollars raised, there was. And my point is,

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<v Speaker 1>to some degree, we all are on the brink of

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<v Speaker 1>living a part of that. And the reason I called

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<v Speaker 1>this life lets Speed of Play is that to me,

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<v Speaker 1>what the book is really about is a product mindset,

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<v Speaker 1>and and I think that every so many of us

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<v Speaker 1>have an idea we don't know how to pursue it,

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<v Speaker 1>or we are pursuing an idea, but the odds of

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<v Speaker 1>success are too low, too many, too many founders are

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<v Speaker 1>feeling for the wrong reasons.

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<v Speaker 3>So a good idea is a good idea, but that

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<v Speaker 3>that's not enough necessarily to run with something and build

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<v Speaker 3>something that lasts for longer or has some significant impact. Correct.

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<v Speaker 1>Yeah, and it might be that you have a good idea,

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<v Speaker 1>but it's behind some like obvious mistakes that you're making.

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<v Speaker 1>That the more junior product maker or a founder is

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<v Speaker 1>and the less experienced they are, the more likely they

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<v Speaker 1>are to do too much new to just reinvent everything.

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<v Speaker 4>Steve Jobs talked about this.

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<v Speaker 1>So the point of the book is I like to

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<v Speaker 1>think that this book is like a cheat code that

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<v Speaker 1>you can whatever it is you're doing, you can change

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<v Speaker 1>your odds of success and getting to a hit. It's

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<v Speaker 1>the book I wish I had early in my career.

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<v Speaker 3>Just as for founders, like, who do you think about? It?

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<v Speaker 3>Sounds like it is for people who have an idea

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<v Speaker 3>or want to run with something, right.

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<v Speaker 1>This book is every one of your listeners right now

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<v Speaker 1>probably has some instinct. They have some sense it's either

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<v Speaker 1>a speci of an idea or a sense that something

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<v Speaker 1>could be better, And the book is the point of

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<v Speaker 1>the book is that they should What is when you

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<v Speaker 1>think what should they do with that instinct? Very few

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<v Speaker 1>of them will act on it and turn that into

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<v Speaker 1>a product or a company, and then their odds of

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<v Speaker 1>success will be solow because they're going to take one

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<v Speaker 1>shot on goal and it's probably going to miss well.

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<v Speaker 2>I like how you write about that in the book

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<v Speaker 2>because you use the idea of Uber as an example

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<v Speaker 2>in the book. You had the idea for Uber in

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<v Speaker 2>two thousand and two. I did SMS dispatching to a cab.

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<v Speaker 2>You're not Travis Kalanik. He did not start Uber. No,

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<v Speaker 2>so you make this argument that I think a lot

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<v Speaker 2>of people everybody has these ideas.

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<v Speaker 4>I had that idea. Yeah, because you had.

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<v Speaker 2>That idea, it doesn't mean you actually create the company.

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<v Speaker 2>Why was Travis able to do it? But Mark Pinkus,

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<v Speaker 2>who was in Silicon Valley in two thousand and two,

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<v Speaker 2>wasn't able to do it.

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<v Speaker 1>I can't tell you why Travis was, but I can

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<v Speaker 1>tell you why I wasn't.

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<v Speaker 4>I didn't.

0:12:02.559 --> 0:12:05.679
<v Speaker 1>First of all, I looked at the world as it existed,

0:12:05.960 --> 0:12:08.280
<v Speaker 1>not as it could exist the way that Travis did.

0:12:08.320 --> 0:12:10.360
<v Speaker 1>And by the way, in two thousand and two, there

0:12:10.400 --> 0:12:13.960
<v Speaker 1>wasn't a mobile, you know, smartphone then, and I thought

0:12:14.000 --> 0:12:15.640
<v Speaker 1>about it in these conventional ways.

0:12:15.679 --> 0:12:16.959
<v Speaker 4>Oh, I'm going.

0:12:16.840 --> 0:12:20.760
<v Speaker 1>To deliver your order to the taxi broker, who will

0:12:20.800 --> 0:12:24.840
<v Speaker 1>call a cab. I didn't ever think Travis's idea of

0:12:24.880 --> 0:12:27.520
<v Speaker 1>the gig economy. I'm going to let anybody become a

0:12:27.600 --> 0:12:30.160
<v Speaker 1>driver and have a driver within a minute of you.

0:12:30.840 --> 0:12:35.320
<v Speaker 4>That was that was brilliance. But but I had.

0:12:35.160 --> 0:12:39.360
<v Speaker 1>An instinct, an instinct that we should be able to

0:12:40.160 --> 0:12:43.160
<v Speaker 1>order a phone through order a taxi through our phone.

0:12:43.679 --> 0:12:48.120
<v Speaker 1>And you know the importance The point I'm trying to

0:12:48.880 --> 0:12:51.400
<v Speaker 1>get people to focus on the book is that if

0:12:51.400 --> 0:12:54.160
<v Speaker 1>you assume your instincts are right, you know, ninety five

0:12:54.160 --> 0:12:56.200
<v Speaker 1>percent of the time, and your idea is right at

0:12:56.320 --> 0:12:58.680
<v Speaker 1>best twenty five percent of the time, what would you

0:12:58.800 --> 0:13:02.880
<v Speaker 1>do with that information? You know, it's like a time machine.

0:13:03.000 --> 0:13:05.959
<v Speaker 3>You write about these instinct veins deep sources of insight

0:13:06.120 --> 0:13:10.080
<v Speaker 3>about human needs and behavior that can spawn multiple product ideas,

0:13:10.160 --> 0:13:14.200
<v Speaker 3>even whole new industries. Is that what AI is right now,

0:13:14.280 --> 0:13:16.520
<v Speaker 3>like what we're doing, is that what that is or.

0:13:16.520 --> 0:13:18.520
<v Speaker 4>Is that beyond an instinct vein?

0:13:18.600 --> 0:13:24.400
<v Speaker 1>I mean, AAI is is a fundamental shift in in computing.

0:13:24.559 --> 0:13:27.280
<v Speaker 1>I mean the way that the Internet was, and so

0:13:27.280 --> 0:13:29.000
<v Speaker 1>so I wouldn't.

0:13:28.920 --> 0:13:32.720
<v Speaker 3>Apples to apples. Yeah, yeah, no, it's interesting. You know.

0:13:32.960 --> 0:13:36.920
<v Speaker 3>One of the things that I find also is some

0:13:37.000 --> 0:13:40.160
<v Speaker 3>of the things you talk about, like leadership, you talk

0:13:40.200 --> 0:13:43.280
<v Speaker 3>about micromanagement is beautiful. And I think about how many

0:13:43.320 --> 0:13:47.520
<v Speaker 3>times when you think about leaders that it's like, don't

0:13:47.520 --> 0:13:52.400
<v Speaker 3>micromanage people? Yeah, right now, think about it, Like you

0:13:52.440 --> 0:13:56.160
<v Speaker 3>bring in you know, you know, experts or consultants and

0:13:56.200 --> 0:13:59.440
<v Speaker 3>they're like, don't micromanager people? Why is it so important?

0:14:00.000 --> 0:14:01.600
<v Speaker 4>Why is it so important that you do do that?

0:14:01.679 --> 0:14:02.640
<v Speaker 4>You do micromanage?

0:14:02.800 --> 0:14:08.120
<v Speaker 1>Yeah, because the point I'm trying to make here is

0:14:08.160 --> 0:14:10.720
<v Speaker 1>that at the end of the day, what matters most

0:14:11.160 --> 0:14:15.000
<v Speaker 1>is your customer experience, not how you delivered it.

0:14:15.320 --> 0:14:17.280
<v Speaker 4>And so the point to me.

0:14:18.040 --> 0:14:23.760
<v Speaker 1>Is deliver the best possible customer experience any way that

0:14:23.840 --> 0:14:28.720
<v Speaker 1>you get there. And if it's through micromanager, if you

0:14:28.760 --> 0:14:32.600
<v Speaker 1>can guarantee the quality, if you can guarantee the delivery

0:14:32.640 --> 0:14:36.320
<v Speaker 1>because you micromanaged, then by all means do that. I'm like,

0:14:36.600 --> 0:14:39.720
<v Speaker 1>I don't care that McDonald's served fifteen million burgers today.

0:14:39.720 --> 0:14:42.520
<v Speaker 1>That doesn't make mine any better if I want the

0:14:42.600 --> 0:14:45.560
<v Speaker 1>kernel cooking mine, you know, individually.

0:14:46.040 --> 0:14:48.280
<v Speaker 2>Well, that's a major theme in the book is sort

0:14:48.320 --> 0:14:51.960
<v Speaker 2>of throwing out this idea of the minimum minimal viable product. Yeah,

0:14:52.120 --> 0:14:54.080
<v Speaker 2>I'm not going to repeat what the chapter's called.

0:14:53.880 --> 0:14:57.960
<v Speaker 4>Because no, we're FCC regulated here, but we're family. Well,

0:14:58.000 --> 0:15:00.760
<v Speaker 4>that chapter you can say, was the MVP trap. Okay,

0:15:00.960 --> 0:15:01.760
<v Speaker 4>other chapters no.

0:15:01.960 --> 0:15:06.680
<v Speaker 2>Okay, maybe, yeah, great, there it is why we've been

0:15:06.760 --> 0:15:10.120
<v Speaker 2>sold this idea though, of iterating and Silicon Valley sort

0:15:10.160 --> 0:15:12.160
<v Speaker 2>of throw something, you know, see if what sticks, and

0:15:12.240 --> 0:15:14.560
<v Speaker 2>iterates on that over and over again. Why wasn't that

0:15:14.600 --> 0:15:15.440
<v Speaker 2>ever right for you?

0:15:16.000 --> 0:15:22.320
<v Speaker 1>Well, the original concept that Eric Reese had of minimum

0:15:22.400 --> 0:15:24.560
<v Speaker 1>viable product and moving fast and being in the market

0:15:25.880 --> 0:15:27.320
<v Speaker 1>is a great concept.

0:15:27.400 --> 0:15:30.720
<v Speaker 4>It's just that we now we don't.

0:15:31.160 --> 0:15:33.640
<v Speaker 1>The point I make is that we no longer have

0:15:33.800 --> 0:15:37.920
<v Speaker 1>time to go wait, the learning.

0:15:37.720 --> 0:15:38.600
<v Speaker 4>Is too slow.

0:15:38.880 --> 0:15:42.360
<v Speaker 1>If we build a minimum viable product, there's hope in

0:15:42.400 --> 0:15:45.040
<v Speaker 1>the word viable that this might be your launch product,

0:15:45.400 --> 0:15:47.520
<v Speaker 1>and then you're going to invest more in that product

0:15:47.560 --> 0:15:49.920
<v Speaker 1>than you should. And I like to say, just build

0:15:49.920 --> 0:15:53.920
<v Speaker 1>it wrong before you build it right, just build to learn.

0:15:54.320 --> 0:15:59.840
<v Speaker 1>Be whatever gets you signal from your customer the fastest

0:16:00.160 --> 0:16:03.720
<v Speaker 1>is and and in the age of AI, we can

0:16:04.240 --> 0:16:09.479
<v Speaker 1>prototype something or test something so much faster, but it's dangerous.

0:16:09.840 --> 0:16:13.240
<v Speaker 1>What I'm seeing with AI is less that people are

0:16:13.320 --> 0:16:17.440
<v Speaker 1>using AI to test and learn faster, but more build faster.

0:16:17.800 --> 0:16:20.160
<v Speaker 1>And so if I can build something now in three

0:16:20.160 --> 0:16:24.400
<v Speaker 1>months instead of three years, that's so alluring that I

0:16:24.480 --> 0:16:28.080
<v Speaker 1>might go do that. But I don't have three months

0:16:28.120 --> 0:16:28.880
<v Speaker 1>to learn.

0:16:28.920 --> 0:16:30.600
<v Speaker 4>I'm wrong. Does that makes sense?

0:16:30.680 --> 0:16:31.640
<v Speaker 3>I don't know that makes sense.

0:16:31.680 --> 0:16:33.560
<v Speaker 4>So the viable word is tricky.

0:16:33.680 --> 0:16:36.600
<v Speaker 2>Well, I think you had also shared in the book

0:16:37.200 --> 0:16:39.880
<v Speaker 2>the example of Twitch and building. You know, the founder

0:16:39.920 --> 0:16:42.560
<v Speaker 2>of Twitch, their team was was changing their product every

0:16:42.560 --> 0:16:44.960
<v Speaker 2>two or three days at that point. Yeah, they were twitchy,

0:16:45.120 --> 0:16:47.040
<v Speaker 2>and that was that ended up being a good thing

0:16:47.080 --> 0:16:49.360
<v Speaker 2>for them. Yeah they got immediate feedback.

0:16:49.680 --> 0:16:51.920
<v Speaker 1>Yeah, well they I don't even know if it was

0:16:52.240 --> 0:16:53.360
<v Speaker 1>getting any customer feedback.

0:16:53.360 --> 0:16:55.120
<v Speaker 4>The feedback was just from themselves.

0:16:55.200 --> 0:16:59.640
<v Speaker 1>It was I don't like this product idea anymore, let's switch.

0:17:00.480 --> 0:17:07.000
<v Speaker 1>So that's also important. And I guess part of what

0:17:07.119 --> 0:17:09.640
<v Speaker 1>makes this so hard to be a founder.

0:17:09.320 --> 0:17:11.200
<v Speaker 4>To be a CEO is that we're supposed to.

0:17:11.119 --> 0:17:15.800
<v Speaker 1>Express confidence when we don't personally feel confidence, right, And so,

0:17:16.359 --> 0:17:19.320
<v Speaker 1>how do you come in on Monday and what if

0:17:19.760 --> 0:17:21.880
<v Speaker 1>you just what have you learned something in the past

0:17:21.960 --> 0:17:25.639
<v Speaker 1>week that just said this product isn't quite right or

0:17:25.680 --> 0:17:28.639
<v Speaker 1>it's finally part built and you're like, I'm just not

0:17:28.720 --> 0:17:31.040
<v Speaker 1>that into it. Do you come to your team on

0:17:31.119 --> 0:17:34.320
<v Speaker 1>Monday and say, guys, I know I got you to

0:17:34.320 --> 0:17:36.760
<v Speaker 1>work nights and weekends for this, but I don't think

0:17:36.760 --> 0:17:40.679
<v Speaker 1>this is right anymore. Or do you say, well, I

0:17:40.680 --> 0:17:43.560
<v Speaker 1>don't want to demotivate my team and so I'm just

0:17:43.600 --> 0:17:46.359
<v Speaker 1>going to continue on this path for this whole product cycle.

0:17:46.880 --> 0:17:47.720
<v Speaker 4>Or I can't.

0:17:47.760 --> 0:17:50.800
<v Speaker 1>I'm afraid to tell my investors who backed me that

0:17:50.920 --> 0:17:53.720
<v Speaker 1>I was wrong. Right, And so questions, are you more

0:17:53.760 --> 0:17:57.640
<v Speaker 1>committed to the intellectual honesty or to harmony?

0:17:58.080 --> 0:17:59.480
<v Speaker 3>I would say intellectual honesty.

0:18:00.000 --> 0:18:01.840
<v Speaker 4>People would not I most people would not active.

0:18:02.160 --> 0:18:03.840
<v Speaker 3>I know, but it's like, I don't know. At some

0:18:03.840 --> 0:18:06.000
<v Speaker 3>point you need to be doing that. Hey, we're talking

0:18:06.000 --> 0:18:08.119
<v Speaker 3>with Mark Pinkus, founder of Zinga. He's got a new

0:18:08.119 --> 0:18:11.240
<v Speaker 3>book out. It is entitled titled Life at the Speed

0:18:11.240 --> 0:18:15.720
<v Speaker 3>of Play. Launch Products that people love? Are there products

0:18:15.800 --> 0:18:19.160
<v Speaker 3>I mean, the product cycle is it getting shooters or longer,

0:18:19.359 --> 0:18:21.560
<v Speaker 3>especially when it comes to technology, because I feel like

0:18:21.640 --> 0:18:23.639
<v Speaker 3>there are things that people are so into and then

0:18:23.640 --> 0:18:25.439
<v Speaker 3>they move on to the next thing, and there's so

0:18:25.600 --> 0:18:26.280
<v Speaker 3>much out there.

0:18:26.680 --> 0:18:28.919
<v Speaker 4>From a consumer standpoint.

0:18:29.359 --> 0:18:31.360
<v Speaker 1>Well, I say in the book that I think there's

0:18:31.400 --> 0:18:34.600
<v Speaker 1>a metric that I don't know anyone but me who

0:18:34.680 --> 0:18:38.480
<v Speaker 1>focuses on it and my former teams day three sixty

0:18:38.520 --> 0:18:41.280
<v Speaker 1>five retention. So if one hundred people were using your

0:18:41.320 --> 0:18:44.439
<v Speaker 1>product today, you know, or a year ago today, how

0:18:44.480 --> 0:18:49.240
<v Speaker 1>many would still be using it today? And it's such

0:18:49.240 --> 0:18:51.800
<v Speaker 1>a hard thing to build against because we don't have

0:18:51.920 --> 0:18:53.560
<v Speaker 1>a year to wait, right, But.

0:18:53.600 --> 0:18:56.120
<v Speaker 2>You never would have made your own That maybe works

0:18:56.119 --> 0:18:58.239
<v Speaker 2>from a product perspective of building a company, but from

0:18:58.280 --> 0:19:00.840
<v Speaker 2>a venture capital perspective, that doesn't work. You write about

0:19:00.840 --> 0:19:02.960
<v Speaker 2>what attracted you to Mark Zuckerberg when he was a

0:19:03.000 --> 0:19:06.480
<v Speaker 2>teenager still was that they were able to sign up,

0:19:07.080 --> 0:19:09.879
<v Speaker 2>you know, school's twenty percent on the first day, the

0:19:09.920 --> 0:19:13.200
<v Speaker 2>next eighty percent the next week. Like that happened instantly.

0:19:13.600 --> 0:19:17.679
<v Speaker 1>Yes, yes, I didn't know. But it turns out that

0:19:18.359 --> 0:19:23.840
<v Speaker 1>this is necessary but not necessarily complete and sufficient. Is

0:19:23.880 --> 0:19:29.000
<v Speaker 1>that that if you have sixty percent engagement, sixty percent

0:19:29.040 --> 0:19:32.200
<v Speaker 1>of your users show up every day, which has been

0:19:32.240 --> 0:19:35.840
<v Speaker 1>true to this day. With Facebook, the likelihood that you

0:19:35.960 --> 0:19:41.160
<v Speaker 1>have high day three sixty five retention is highly correlated.

0:19:41.320 --> 0:19:45.399
<v Speaker 1>It may not be the case, but it's highly highly correlated.

0:19:45.560 --> 0:19:48.879
<v Speaker 3>Did you know the minute you spoke with him that

0:19:48.920 --> 0:19:50.320
<v Speaker 3>this was just something remarkable?

0:19:51.040 --> 0:19:51.680
<v Speaker 4>Meaning Facebook?

0:19:51.760 --> 0:19:51.960
<v Speaker 1>Yes?

0:19:52.080 --> 0:19:54.400
<v Speaker 4>Yes, and and by the way, so would you both

0:19:54.440 --> 0:19:54.639
<v Speaker 4>of you.

0:19:55.040 --> 0:19:59.760
<v Speaker 1>So people who point to the fact that they invested,

0:20:00.119 --> 0:20:03.639
<v Speaker 1>you know, early on in Facebook, these companies as a

0:20:03.680 --> 0:20:06.919
<v Speaker 1>sign that they're a great investors, it does not necessarily

0:20:07.000 --> 0:20:08.240
<v Speaker 1>mean that they are a great.

0:20:09.480 --> 0:20:11.240
<v Speaker 4>You know that their judgment is.

0:20:11.200 --> 0:20:14.360
<v Speaker 1>So great because we all would have said, yes, their

0:20:14.400 --> 0:20:15.879
<v Speaker 1>access is very impressive.

0:20:15.920 --> 0:20:18.919
<v Speaker 4>You know that they had and you didn't have. So

0:20:20.720 --> 0:20:22.680
<v Speaker 4>But here's what's so painful.

0:20:22.680 --> 0:20:25.399
<v Speaker 1>If you think about it, that story is less like

0:20:25.720 --> 0:20:29.960
<v Speaker 1>kudos to Mark that he invested, and it's more like, like, Mark,

0:20:30.520 --> 0:20:31.199
<v Speaker 1>how is it?

0:20:31.640 --> 0:20:31.720
<v Speaker 2>Like?

0:20:31.800 --> 0:20:32.359
<v Speaker 4>Think about this?

0:20:32.880 --> 0:20:35.560
<v Speaker 1>How is it that in two thousand and four when

0:20:35.600 --> 0:20:38.200
<v Speaker 1>I met him, I was doing Tribe. I was doing

0:20:38.240 --> 0:20:40.960
<v Speaker 1>one of the first social networks right before I started,

0:20:40.960 --> 0:20:46.280
<v Speaker 1>before he did. How did I manage to fail? It's

0:20:46.320 --> 0:20:50.800
<v Speaker 1>an act of willpower that I failed It wasn't just Facebook.

0:20:51.080 --> 0:20:53.000
<v Speaker 1>There was eight or nine social networks.

0:20:53.000 --> 0:20:53.960
<v Speaker 4>There was bebo.

0:20:54.200 --> 0:20:58.160
<v Speaker 1>Tagged, MySpace, Friends, Friends, Sir, which I invested in. They

0:20:58.440 --> 0:21:03.359
<v Speaker 1>all worked. I had to pick one idea that didn't

0:21:03.400 --> 0:21:07.800
<v Speaker 1>work and stoically heroically stick with it no matter what.

0:21:08.119 --> 0:21:08.680
<v Speaker 4>I don't care.

0:21:09.640 --> 0:21:12.800
<v Speaker 2>But we are with Mark Pinkus, he's the founder of Zinga.

0:21:12.840 --> 0:21:15.359
<v Speaker 2>He's the author of the new book it's out this week,

0:21:15.440 --> 0:21:18.040
<v Speaker 2>Life at the Speed of Play, launch products, people love.

0:21:18.080 --> 0:21:19.760
<v Speaker 2>I want to pick up with a headline that we

0:21:19.880 --> 0:21:22.760
<v Speaker 2>just heard from Amy just now. It's coming from the

0:21:22.760 --> 0:21:25.720
<v Speaker 2>New York Times about how open ai is leaning toward

0:21:25.720 --> 0:21:29.480
<v Speaker 2>waiting until next year for its IPO. Rob Copeland and

0:21:29.520 --> 0:21:31.960
<v Speaker 2>Mike Isaac writing this over at The New York Times,

0:21:32.040 --> 0:21:34.320
<v Speaker 2>saying that they're holding off on their initial public offering

0:21:34.359 --> 0:21:36.959
<v Speaker 2>until next year. Three people involved in the company's deliberations

0:21:36.960 --> 0:21:41.840
<v Speaker 2>said it punctuates an uncertain future for fast rising AI giants.

0:21:41.880 --> 0:21:44.280
<v Speaker 2>That's again coming from the New York Times. Mark, you're

0:21:44.320 --> 0:21:47.360
<v Speaker 2>an investor in open Ai. You understand also what it's

0:21:47.359 --> 0:21:48.919
<v Speaker 2>like to take a company public. You did that with

0:21:48.960 --> 0:21:52.400
<v Speaker 2>several companies in different periods of your professional.

0:21:52.359 --> 0:21:56.040
<v Speaker 1>Everything sometimes right, sure, yes, like the last day of

0:21:56.080 --> 0:21:57.200
<v Speaker 1>the dot Com IPO.

0:21:56.960 --> 0:22:00.680
<v Speaker 2>And yeah, just you your thoughts on on open ai

0:22:00.840 --> 0:22:02.920
<v Speaker 2>and its path to becoming a public company.

0:22:03.280 --> 0:22:09.679
<v Speaker 1>I I'd say, I the one hand, I'm not sure

0:22:10.280 --> 0:22:15.199
<v Speaker 1>how much the timing matters other than if it changes

0:22:15.240 --> 0:22:19.119
<v Speaker 1>their access to capital. So I don't think they can

0:22:19.160 --> 0:22:23.119
<v Speaker 1>afford to get, you know, significantly behind in the you know,

0:22:23.480 --> 0:22:24.560
<v Speaker 1>capital and.

0:22:24.480 --> 0:22:26.000
<v Speaker 4>Build out race.

0:22:26.160 --> 0:22:29.399
<v Speaker 1>But it's not clear that you know, you have to

0:22:29.440 --> 0:22:31.919
<v Speaker 1>necessarily go public these days, and if you look at

0:22:31.920 --> 0:22:36.000
<v Speaker 1>the the sizes of investments. So I think open Ai

0:22:36.359 --> 0:22:42.080
<v Speaker 1>is just an amazing kind of generational company. And I

0:22:42.119 --> 0:22:44.960
<v Speaker 1>think people who count them out and say this is

0:22:45.000 --> 0:22:50.119
<v Speaker 1>all anthropic are short sighted. And I think that open

0:22:50.160 --> 0:22:53.320
<v Speaker 1>Ai has to.

0:22:52.560 --> 0:22:54.760
<v Speaker 4>Catch up on the coding side.

0:22:55.400 --> 0:22:59.199
<v Speaker 1>I think we'll see that happen with Codex, and they haven't.

0:22:59.400 --> 0:23:01.600
<v Speaker 1>They have a clear advantage on the consumer side, which

0:23:01.640 --> 0:23:06.240
<v Speaker 1>I think is currently being under weighted. I think people

0:23:06.840 --> 0:23:09.800
<v Speaker 1>wrongly think this is all just about coding and enterprise,

0:23:10.359 --> 0:23:14.800
<v Speaker 1>and I just think that is where the action is

0:23:14.880 --> 0:23:18.200
<v Speaker 1>right now, That's where the most revenue growth is right now.

0:23:18.600 --> 0:23:22.480
<v Speaker 1>But there's no question to me that consumer, the consumer

0:23:22.520 --> 0:23:26.760
<v Speaker 1>side of AI will be just as big, if not bigger.

0:23:26.920 --> 0:23:27.720
<v Speaker 1>So I know.

0:23:27.800 --> 0:23:29.280
<v Speaker 4>CO two put out a report.

0:23:29.040 --> 0:23:31.200
<v Speaker 1>Calling it a six trillion dollar market, and I thought

0:23:31.240 --> 0:23:34.600
<v Speaker 1>it was interesting that they they capped consumer at five

0:23:34.680 --> 0:23:37.479
<v Speaker 1>hundred billion consumer AI out of six trillion.

0:23:37.520 --> 0:23:38.359
<v Speaker 3>That doesn't make sense to you.

0:23:38.520 --> 0:23:41.439
<v Speaker 1>Two trillion just for the engineering, the coding side. No,

0:23:42.640 --> 0:23:45.199
<v Speaker 1>that doesn't make any sense to me. That's not the

0:23:45.280 --> 0:23:47.160
<v Speaker 1>way we've seen the internet play out.

0:23:47.320 --> 0:23:49.840
<v Speaker 3>You seem to be someone who can think super big

0:23:49.960 --> 0:23:53.800
<v Speaker 3>about things like how should we be thinking about AI

0:23:54.000 --> 0:23:57.920
<v Speaker 3>and how it changes our world as consumers? Like how

0:23:58.000 --> 0:23:59.760
<v Speaker 3>is it going to at home, at work, at play?

0:24:00.160 --> 0:24:02.040
<v Speaker 3>How is it going to change or world? Or is

0:24:02.080 --> 0:24:07.439
<v Speaker 3>it just another amped up way of communicating online? I

0:24:07.440 --> 0:24:09.200
<v Speaker 3>don't know what is it? How do you think about it?

0:24:09.200 --> 0:24:11.520
<v Speaker 1>It's not a way to communicate online yet because it's

0:24:11.560 --> 0:24:15.919
<v Speaker 1>still oddly a single player experience. Right, we're not in

0:24:16.040 --> 0:24:19.880
<v Speaker 1>the AI, we're not in the GPTs and the chats together.

0:24:20.280 --> 0:24:22.720
<v Speaker 1>But if you break your question down, I think, first

0:24:22.720 --> 0:24:26.000
<v Speaker 1>if you think, you know, how will it impact our

0:24:26.119 --> 0:24:29.400
<v Speaker 1>jobs in the job market, I think we're very very

0:24:29.440 --> 0:24:36.280
<v Speaker 1>quickly transitioning from a knowledge worker economy to something else

0:24:36.359 --> 0:24:38.280
<v Speaker 1>we don't have a name for, but it's going to be,

0:24:38.440 --> 0:24:42.040
<v Speaker 1>you know, a prompt worker. It's going to be about

0:24:42.720 --> 0:24:48.520
<v Speaker 1>being generative, and we're going to be whatever our job is, it's.

0:24:48.359 --> 0:24:50.280
<v Speaker 4>Going to be very quickly.

0:24:50.400 --> 0:24:53.119
<v Speaker 1>I mean, it's probably changed a lot for you guys,

0:24:53.160 --> 0:24:57.520
<v Speaker 1>and right the amount that we have to rely on

0:24:57.560 --> 0:24:59.800
<v Speaker 1>the AI, but the amount of leverage we get and

0:24:59.840 --> 0:25:05.359
<v Speaker 1>the amount that it's it's moving from a value on

0:25:05.520 --> 0:25:09.360
<v Speaker 1>knowledge to a value on questions and curiosity.

0:25:09.760 --> 0:25:11.439
<v Speaker 3>But you also have to have knowledge to ask a

0:25:11.440 --> 0:25:14.480
<v Speaker 3>smart question, for sure, right Like, and we're learning too,

0:25:14.520 --> 0:25:17.040
<v Speaker 3>and we talk about this a lot that I forget

0:25:17.080 --> 0:25:19.119
<v Speaker 3>who the one of the interviews we recently had that like,

0:25:19.280 --> 0:25:22.840
<v Speaker 3>a really good question with AI is going to be

0:25:22.880 --> 0:25:25.800
<v Speaker 3>several paragraphs long, right like, if you really want to

0:25:25.840 --> 0:25:27.960
<v Speaker 3>get a smart, useful information.

0:25:28.119 --> 0:25:30.800
<v Speaker 1>You guys both impressively read my book and you have

0:25:30.880 --> 0:25:33.800
<v Speaker 1>great questions, and I think if you'd relied on the AI,

0:25:34.960 --> 0:25:37.000
<v Speaker 1>you know, and I'll say, even writing the book, I

0:25:37.040 --> 0:25:40.080
<v Speaker 1>had this love hate relationship with AI that if first

0:25:40.080 --> 0:25:42.560
<v Speaker 1>it's magical and you're like, oh my god, it can

0:25:42.560 --> 0:25:45.879
<v Speaker 1>take this long talk it is gave and condense it

0:25:45.960 --> 0:25:49.399
<v Speaker 1>or can or editing is so painful wordsmithing, and then

0:25:49.440 --> 0:25:51.879
<v Speaker 1>you start reading it, and it's getting it starts to

0:25:51.880 --> 0:25:55.280
<v Speaker 1>get homogenized. Yeah, and it's like it starts to feel soulless,

0:25:55.359 --> 0:25:57.040
<v Speaker 1>and it's like, where do my voice go in this?

0:25:57.119 --> 0:25:58.720
<v Speaker 1>And I even try to style a guide and I'm like,

0:25:58.920 --> 0:26:00.960
<v Speaker 1>I want you sound like my voice, and eventually is like,

0:26:01.200 --> 0:26:03.320
<v Speaker 1>I don't want you to change my words unless you

0:26:03.359 --> 0:26:05.480
<v Speaker 1>absolutely have to. And then eventually I said, you know what,

0:26:06.080 --> 0:26:08.359
<v Speaker 1>it's really helpful for some things. It's part of a

0:26:08.400 --> 0:26:11.000
<v Speaker 1>process to take a long talk track and condense it

0:26:11.560 --> 0:26:14.800
<v Speaker 1>to make it more organized. But I started to really

0:26:15.040 --> 0:26:19.119
<v Speaker 1>kind of like a vinyl record, appreciate the imperfections of

0:26:19.200 --> 0:26:23.200
<v Speaker 1>how I talk and say, you know what, that's my voice,

0:26:23.240 --> 0:26:24.960
<v Speaker 1>and that's how you know it is me?

0:26:25.400 --> 0:26:25.640
<v Speaker 4>Right?

0:26:26.040 --> 0:26:28.640
<v Speaker 2>You know. A major theme in the book is making

0:26:28.640 --> 0:26:30.800
<v Speaker 2>decisions that your future self will respect. You have this

0:26:31.200 --> 0:26:33.639
<v Speaker 2>framework the Book of Life, which is I think a

0:26:33.640 --> 0:26:36.240
<v Speaker 2>really important way to set up the book. I want

0:26:36.240 --> 0:26:37.680
<v Speaker 2>to talk about that just in the last couple of

0:26:37.680 --> 0:26:39.399
<v Speaker 2>minutes we have in the context of you being so

0:26:39.520 --> 0:26:43.080
<v Speaker 2>public in twenty twenty four coming out and saying, after

0:26:43.200 --> 0:26:45.760
<v Speaker 2>so many years and so many millions of dollars donating

0:26:45.760 --> 0:26:49.800
<v Speaker 2>to democrats, I am now coming out in support of

0:26:49.920 --> 0:26:51.800
<v Speaker 2>President Trump. I was surprised, I think a lot of

0:26:51.800 --> 0:26:54.960
<v Speaker 2>people to see you do that. How did your book

0:26:55.000 --> 0:26:57.600
<v Speaker 2>of life framework and your idea of like looking back

0:26:57.640 --> 0:26:59.960
<v Speaker 2>at that decision inform that decision at the time.

0:27:00.240 --> 0:27:03.080
<v Speaker 1>It's it's such a good question, you know. It's it's

0:27:03.080 --> 0:27:06.320
<v Speaker 1>definitely not something I signed up for in my book

0:27:06.320 --> 0:27:12.480
<v Speaker 1>of life. However, it's it is important to me. Intellectual

0:27:12.480 --> 0:27:18.320
<v Speaker 1>honesty is important to me, and being willing to take

0:27:18.320 --> 0:27:23.600
<v Speaker 1>an unpopular stand. And and I feel like, if if

0:27:23.640 --> 0:27:27.080
<v Speaker 1>I can't do that, if I'm so scared because of

0:27:27.119 --> 0:27:32.680
<v Speaker 1>groupthink and the consequences of being taking a very unpopular

0:27:33.000 --> 0:27:35.960
<v Speaker 1>position in my you know, a lot of my communities

0:27:36.560 --> 0:27:39.720
<v Speaker 1>than who can And and it was actually my daughter

0:27:39.840 --> 0:27:43.199
<v Speaker 1>Georgia I. I didn't decide until the Sunday before the

0:27:43.240 --> 0:27:46.199
<v Speaker 1>election that I was going to vote for Trump. I

0:27:46.240 --> 0:27:49.080
<v Speaker 1>decided I was definitely not going to vote for Kamala,

0:27:49.160 --> 0:27:54.119
<v Speaker 1>and I had lost faith in the Democrats and the

0:27:54.160 --> 0:28:00.600
<v Speaker 1>mainstream media establishment that that I stopped trusting in that

0:28:00.640 --> 0:28:05.159
<v Speaker 1>whole process. But I was also being very transparent in

0:28:05.200 --> 0:28:08.080
<v Speaker 1>public on Twitter. I started I wrote a post in

0:28:08.119 --> 0:28:11.600
<v Speaker 1>the Free Press saying not that I support Trump, but

0:28:11.160 --> 0:28:15.400
<v Speaker 1>that Biden at that time in late July of twenty

0:28:15.480 --> 0:28:19.280
<v Speaker 1>four felt even riskier than Trump was, and that alone

0:28:20.160 --> 0:28:21.600
<v Speaker 1>started a chip storm.

0:28:21.640 --> 0:28:23.760
<v Speaker 4>If I can say that word, it's out there. Okay,

0:28:23.960 --> 0:28:25.560
<v Speaker 4>so too late to pick back to.

0:28:26.200 --> 0:28:29.080
<v Speaker 1>But Georgia came to me on a Sunday before the election.

0:28:29.200 --> 0:28:32.359
<v Speaker 1>She said, Dad, you know you're going to vote for

0:28:32.359 --> 0:28:35.159
<v Speaker 1>Trump at this point. And I said, yeah, I think

0:28:35.200 --> 0:28:37.160
<v Speaker 1>you're probably right that then you have to tweet that

0:28:37.760 --> 0:28:41.160
<v Speaker 1>because you've been so open and transparent, and I said, yeah,

0:28:41.200 --> 0:28:45.200
<v Speaker 1>you're right, And so then I wrote a whole post

0:28:45.360 --> 0:28:47.280
<v Speaker 1>I think the most viral post I've ever put up,

0:28:47.320 --> 0:28:50.440
<v Speaker 1>because I think it was it was oddly a touchstone

0:28:50.520 --> 0:28:53.600
<v Speaker 1>for a lot of people because I was kind of like,

0:28:53.640 --> 0:28:58.840
<v Speaker 1>this that big Democratic donor and breaking ranks, you know,

0:28:59.800 --> 0:29:03.239
<v Speaker 1>was and I'm kind of like, it's funny to call it,

0:29:03.280 --> 0:29:05.160
<v Speaker 1>but I'm kind of like part of the like rank

0:29:05.200 --> 0:29:11.200
<v Speaker 1>and file Silicon Valley founders, and so it was I

0:29:11.240 --> 0:29:14.920
<v Speaker 1>think a little scary to some of the establishment to

0:29:15.000 --> 0:29:19.640
<v Speaker 1>see this crumbling. And and I put the post out

0:29:19.880 --> 0:29:22.600
<v Speaker 1>and I put my reasons out, and it was on

0:29:22.640 --> 0:29:25.200
<v Speaker 1>the front page of the New York Post like the

0:29:25.240 --> 0:29:25.800
<v Speaker 1>next day.

0:29:26.520 --> 0:29:29.280
<v Speaker 4>I didn't think it would be news, and.

0:29:29.440 --> 0:29:33.560
<v Speaker 1>You know, and it really really it was much louder

0:29:34.600 --> 0:29:39.520
<v Speaker 1>than I anticipated. And but I was like, you know,

0:29:39.560 --> 0:29:41.800
<v Speaker 1>what if if I'm gonna do it, I'm I'm I'm

0:29:41.840 --> 0:29:45.520
<v Speaker 1>not gonna. It's silly that we should have to hide

0:29:45.640 --> 0:29:49.320
<v Speaker 1>our political views because we're tagged with an identity. And

0:29:49.560 --> 0:29:52.800
<v Speaker 1>I'll just say this, I'm not on any team. And

0:29:52.840 --> 0:29:55.640
<v Speaker 1>I said that throughout. I said, I'm not on team Democrats,

0:29:55.640 --> 0:29:59.240
<v Speaker 1>I'm not on team Maga. It sounds cheesy. I'm team America.

0:29:59.560 --> 0:30:03.760
<v Speaker 1>I'm team my family community. And in this environment where

0:30:03.760 --> 0:30:08.840
<v Speaker 1>we just saw three pretty extreme left democratic socialists win

0:30:08.960 --> 0:30:11.560
<v Speaker 1>in New York, I don't know that any of us

0:30:11.640 --> 0:30:15.440
<v Speaker 1>can really say we're identified with one party, because who

0:30:15.480 --> 0:30:19.280
<v Speaker 1>the party is is really shifting. I'm a Chicago liberal.

0:30:19.480 --> 0:30:23.200
<v Speaker 1>That's I've always been that. I'm you know, socially liberal.

0:30:23.840 --> 0:30:26.560
<v Speaker 1>I want people to have their own rights and freedoms,

0:30:26.920 --> 0:30:30.080
<v Speaker 1>and I'm fiscally and economically conservative.

0:30:30.120 --> 0:30:32.400
<v Speaker 4>I want to see a responsible government.

0:30:32.560 --> 0:30:36.000
<v Speaker 1>I think I'm stating some obvious things here that eighty

0:30:36.000 --> 0:30:38.640
<v Speaker 1>percent of people one hundred, I don't know ninety percent

0:30:38.680 --> 0:30:41.720
<v Speaker 1>of people agree with and so for that to then

0:30:42.160 --> 0:30:45.040
<v Speaker 1>define me as being right, you know, far right, and

0:30:45.160 --> 0:30:47.520
<v Speaker 1>to hear journalists, I need to get a I couldn't

0:30:47.560 --> 0:30:49.920
<v Speaker 1>find a far right founder in San Francisco.

0:30:49.960 --> 0:30:51.520
<v Speaker 4>Can I interview you? And I'm like, you want me?

0:30:52.160 --> 0:30:52.880
<v Speaker 4>I'm far right?

0:30:53.360 --> 0:30:56.880
<v Speaker 1>I'm like, I'm still here, nothing's changed, so yeah, yeah,

0:30:56.920 --> 0:30:59.720
<v Speaker 1>it's so it's And the partner with my future self

0:30:59.800 --> 0:31:01.760
<v Speaker 1>is I I.

0:31:02.200 --> 0:31:03.840
<v Speaker 4>Even though it.

0:31:03.360 --> 0:31:06.440
<v Speaker 1>Was painful and there was some dislocations and I did

0:31:07.320 --> 0:31:14.920
<v Speaker 1>lose a couple of dear friendships over it, I am

0:31:14.960 --> 0:31:17.920
<v Speaker 1>happy that Mark twenty twenty four. No, I'm happy Mark

0:31:18.240 --> 0:31:21.040
<v Speaker 1>twenty twenty four took a stand.

0:31:22.320 --> 0:31:24.960
<v Speaker 3>God. I feel like that's a perfect place to wrap.

0:31:25.200 --> 0:31:26.960
<v Speaker 3>We don't really want to wrap. We hope you will

0:31:26.960 --> 0:31:27.440
<v Speaker 3>come back.

0:31:28.000 --> 0:31:30.959
<v Speaker 1>This is really fun and I was not expecting you

0:31:31.000 --> 0:31:34.080
<v Speaker 1>guys to have read my whole book and have all

0:31:34.120 --> 0:31:37.040
<v Speaker 1>of these really insightful questions.

0:31:37.080 --> 0:31:39.800
<v Speaker 4>So I hope you guys.

0:31:41.000 --> 0:31:44.280
<v Speaker 1>Follow the the you know, the format in my book.

0:31:44.320 --> 0:31:47.320
<v Speaker 1>I hope that you take an idea, prosecute it, and

0:31:47.400 --> 0:31:50.360
<v Speaker 1>as a side hustle, you build a huge business and

0:31:50.400 --> 0:31:52.040
<v Speaker 1>then this becomes your hobby.

0:31:52.440 --> 0:31:54.920
<v Speaker 3>I love it. I love it. You give us a

0:31:54.960 --> 0:31:56.880
<v Speaker 3>lot to think about, and I have to tell you.

0:31:56.920 --> 0:31:58.959
<v Speaker 3>We still have a bunch of questions like I mean it,

0:31:59.040 --> 0:32:02.360
<v Speaker 3>please come back, I love I love it. Mark Pinkas,

0:32:02.480 --> 0:32:05.760
<v Speaker 3>founder of Zing, of course, founder of several companies, but

0:32:05.800 --> 0:32:07.360
<v Speaker 3>his new book is Life at the Speed of Play,

0:32:07.400 --> 0:32:10.280
<v Speaker 3>launch products people love. There's a lot in here and

0:32:10.320 --> 0:32:11.320
<v Speaker 3>a lot of great stories.