WEBVTT - Luis Perez-Breva Explains How to Be ‘Productively Wrong’

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<v Speaker 1>This is Master's in Business with Barry Ridholts on Bloomberg Radio.

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<v Speaker 1>This week on the podcast, I have a special guest.

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<v Speaker 1>His name is Luis Perez Brava. He is a professor

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<v Speaker 1>at m I T where he directs the Innovation Team's program.

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<v Speaker 1>He is also UH the author of Innovating a Doer's Manifesto.

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<v Speaker 1>And this is really a fascinating conversation for those of

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<v Speaker 1>you who are interested in the direction that technology is

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<v Speaker 1>taking us and how startup Silicon Valley technology UH problem solving,

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<v Speaker 1>big data, artificial intelligence, et cetera is progressing. I think

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<v Speaker 1>you will find this to be a surprising and fascinating conversation. UH.

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<v Speaker 1>Luise approaches the idea of UM problem solving an innovation

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<v Speaker 1>in a different UH concept and a different order and

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<v Speaker 1>in a different construct than I think most people think

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<v Speaker 1>of in terms of technology and UM innovation. He really

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<v Speaker 1>looks at this as a problem solving an iterative process

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<v Speaker 1>as opposed to something driven purely by technology or purely

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<v Speaker 1>by capital UH. He in fact, he specifically thinks most

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<v Speaker 1>people are doing this wrong because they're focusing on the

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<v Speaker 1>concept of big ideas as opposed to thinking about hunches

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<v Speaker 1>and small incremental changes that solve problems as opposed to

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<v Speaker 1>what we discussed, the grand pivot that seems to be

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<v Speaker 1>so popular these days in Silicon Valley. So if you're

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<v Speaker 1>at all interested in venture capital or technology or the

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<v Speaker 1>future direct action of tech, I think you'll find this

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<v Speaker 1>conversation quite fascinating. With no further ado, my conversation with

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<v Speaker 1>Luis Perez Breva. I'm Barry Riholts. You're listening to Masters

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<v Speaker 1>in Business on Bloomberg Radio. My guest today is Luis

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<v Speaker 1>Perez Breva. He is an expert in the process of

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<v Speaker 1>technology innovation. He holds multiple degrees from multiple countries, including Physics,

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<v Speaker 1>Business artificial Intelligence from Spain, France, and the US. He

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<v Speaker 1>is a professor at m I T and he is

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<v Speaker 1>the author of Innovating a Doer's Manifesto for starting from

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<v Speaker 1>a hunch, prototyping problems, scaling up, and learning to be

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<v Speaker 1>productively wrong. He currently directs the m I T Innovation

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<v Speaker 1>Team's program and advises organizations on artificial intelligence and innovation.

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<v Speaker 1>Luis Perez Breva, Welcome to Bloomberg. Thank you, thank you

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<v Speaker 1>for having me. So you've said a number of things

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<v Speaker 1>that I find fascinating. Let's jump right into the comment

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<v Speaker 1>you made about impossible projects. You said, I'm drawn to

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<v Speaker 1>projects that look impossible. What are impossible projects? And if

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<v Speaker 1>they're impossible, what can you do with them? Well, they're

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<v Speaker 1>they're really not impossible. They just looked like that, And

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<v Speaker 1>it's mostly because of the way we think, we think

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<v Speaker 1>in our silos and our disciplines, and so a bunch

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<v Speaker 1>of stuff then all of a sudden, so it looks

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<v Speaker 1>like no one knows how to do it. But everything

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<v Speaker 1>you love about the innovation started out looking impossible. So

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<v Speaker 1>give us an example of something that looked impossible but

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<v Speaker 1>turns out not to be My favorite one because it's

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<v Speaker 1>been a long time and it's still mesmerizing is Henry Ford.

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<v Speaker 1>But I'll bring it to the present for you. So,

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<v Speaker 1>if Henry Ford was life today, what he would have

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<v Speaker 1>said is that he wanted to make jet planes private

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<v Speaker 1>jet planes affordable that because that's what a car was

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<v Speaker 1>back then. So this seemed like a completely impossible thing

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<v Speaker 1>to do. Actually, no one believed him. Everyone thought he

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<v Speaker 1>was wrong, and yet he somehow they didn't change the

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<v Speaker 1>America forever. So that kind of problems, whether they be

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<v Speaker 1>that big or smaller, but that people cannot seem to

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<v Speaker 1>be able to bring together what draws my attention every

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<v Speaker 1>single time. And I noticed you said affordable. It's not

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<v Speaker 1>just that he wants to manufacture cars. He wants to

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<v Speaker 1>manufacture cars. It's such a scale that they were affordable

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<v Speaker 1>to anyone working in his factories that that seems to

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<v Speaker 1>be an interesting That's the key when you actually look

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<v Speaker 1>at the history of him before, as historians tell it,

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<v Speaker 1>just different from how you may read it in a book.

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<v Speaker 1>In a business book, you hear that all he wanted

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<v Speaker 1>was make cars affordable because his experience living and growing

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<v Speaker 1>up in a farm made him realize how hard it

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<v Speaker 1>was to make supply runs to the city. So that

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<v Speaker 1>was the objective. Everything else, the scale, manufacturing, finance, increasing wages,

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<v Speaker 1>was a means to an end, which is make cars affordable.

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<v Speaker 1>It's like problem solving all along. So let's let's address

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<v Speaker 1>problem solving a little bit. The title of the book

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<v Speaker 1>you reference being productively wrong? How is a person productively wrong?

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<v Speaker 1>You know the way. I've actually even come to realize

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<v Speaker 1>that even more ever since I had kids. When you're

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<v Speaker 1>a kid, When we were children, you spend all your

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<v Speaker 1>day being fundamentally wrong, trying things out and mostly not

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<v Speaker 1>getting everything right, and just you don't really care, just experiments,

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<v Speaker 1>just experimenting, No one seems to care, and so on.

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<v Speaker 1>Then eventually we learned just enough to believe that everything

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<v Speaker 1>applies by formula, and then we destroy the magic. Effectively,

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<v Speaker 1>we destroyed the spirit of angry. But the way we

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<v Speaker 1>seem to learn as humans, and this we know from

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<v Speaker 1>neuroscience from how hard it is to do ourtificial intelligence

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<v Speaker 1>and so on, is by fundamentally being wrong, so officially

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<v Speaker 1>many times, until we figure out what was wrong about it.

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<v Speaker 1>So we don't learn by being right or by formula.

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<v Speaker 1>We learned by fundamentally being wrong. I'll give you one

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<v Speaker 1>quick example which I learned from my daughter. When she

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<v Speaker 1>was starting to play violin. She played out of tune

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<v Speaker 1>pretty much time until one day she didn't, and then

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<v Speaker 1>she figured out when violent itself was out of tune.

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<v Speaker 1>And this happened gradually to a point that she never

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<v Speaker 1>actually realized that she was playing out of tune until

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<v Speaker 1>that one day in which all of a sudden she did.

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<v Speaker 1>So she actually learned to play in tune mostly by

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<v Speaker 1>being wrung every single time. And I bring this up

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<v Speaker 1>because playing an instrument is such an intuitive thing depending

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<v Speaker 1>on how you learn it, that it brings this about

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<v Speaker 1>how we learn even when you're an adult. So I

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<v Speaker 1>started to learn violin with my daughter. Really, and you know,

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<v Speaker 1>the violin is unique, or or at least different from

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<v Speaker 1>a piano or something where each note is defined. It's fretless,

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<v Speaker 1>and so you could be off by a quarter of

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<v Speaker 1>a tone. It's a very different experience. But that leads

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<v Speaker 1>the question. We think of child's play as things kids

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<v Speaker 1>do for fun, but you're really implying that child's play

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<v Speaker 1>is a form of experimentation and learning. Yeah, or you

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<v Speaker 1>can look at it the other way around. We adults

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<v Speaker 1>should play much the same way, because that's how we

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<v Speaker 1>acquired a bunch of things we use every day. Language,

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<v Speaker 1>your surroundings, your sense of taste. Everything was acquired that

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<v Speaker 1>precise way through experimentation. Is experiment wrong play, but it

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<v Speaker 1>was play. Now we grow up and we kind of

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<v Speaker 1>are afraid of being wrong. We need to be right,

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<v Speaker 1>and so before you know it, you're just not using

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<v Speaker 1>your brain for what it was, for what it evolved

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<v Speaker 1>to do best, which is learning through this kind of play.

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<v Speaker 1>Let's talk about innovation a little bit. What is innovation

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<v Speaker 1>and how does it work? Funny that's innovation has been

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<v Speaker 1>said to me so many things. It's an overused word.

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<v Speaker 1>So I'll tell you what I think innovation is. Innovation

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<v Speaker 1>is the end result, meaning you go about trying to

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<v Speaker 1>solve some obstacle, solve a problem, and uh, most people

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<v Speaker 1>will think you're wrong, and one day they stop thinking

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<v Speaker 1>you're wrong and they'll call it an innovation. So innovation

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<v Speaker 1>is how people certify what you did. But at first

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<v Speaker 1>it looked preposterous, it was fundamentally wrong, and did it

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<v Speaker 1>because you felt there was something to it that other

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<v Speaker 1>people couldn't see. Give us an example of something that

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<v Speaker 1>was preposterous and then adapted by everybody I love. I'm

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<v Speaker 1>just going to use big examples. So let's see how

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<v Speaker 1>prepostors they wear. And hope logical isn't today. So Bill

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<v Speaker 1>Gates talks about a computer in every desk and at

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<v Speaker 1>the end at they were every home. Right. So I'll

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<v Speaker 1>go back to right where there are maybe a few

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<v Speaker 1>main frames here and there no internet, no no internet.

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<v Speaker 1>No one knows what to do with it. There isn't

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<v Speaker 1>even spreadsheet yet that would come a bit later you

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<v Speaker 1>can read the entire history I mean at the time

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<v Speaker 1>and and somehow today because you have a computer in

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<v Speaker 1>your pocket, and probably another in your desk, and another

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<v Speaker 1>at home, and maybe five iPads, and who knows what,

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<v Speaker 1>maybe your phone is a computer as well. Now it

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<v Speaker 1>seems perfectly natural. So that is what makes it look

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<v Speaker 1>like an innovation. It's even better because by the time

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<v Speaker 1>it's gone through its cycle, it actually looks old. The

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<v Speaker 1>idea of a computer and every desk and every home

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<v Speaker 1>seems old all of a sudden, And yet it was

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<v Speaker 1>a brutal innovation that has created so much economic progress

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<v Speaker 1>in all sorts of fields. Like we're sitting in a

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<v Speaker 1>room where there's a cusident of computers. The idea itself

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<v Speaker 1>was prepators in nineteen every actually so prepastors. It didn't matter.

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<v Speaker 1>That's fascinating. Let's talk a little bit about technology and innovation.

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<v Speaker 1>But I want to start with the idea of ideas.

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<v Speaker 1>Where do innovative ideas come from? It's that's a trick question.

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<v Speaker 1>It's a true question because over the last two years

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<v Speaker 1>we've placed such an importance on the word idea that

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<v Speaker 1>in my book, I decided to give up on it.

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<v Speaker 1>And I actually talk about hunches because now ideas have

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<v Speaker 1>become so important that it's actually burdening most of us.

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<v Speaker 1>We think we need to come up with this innovative

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<v Speaker 1>idea before we even do anything. So what's the difference

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<v Speaker 1>between an idea and a hunch other than people don't

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<v Speaker 1>judge hunches as harshly as they might judge idea. So

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<v Speaker 1>the basic difference is an admission practical sense. Nothing ideas

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<v Speaker 1>come from pretty much anywhere. And as I've told you,

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<v Speaker 1>the best ideas start out being just preposterous combined two

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<v Speaker 1>things that that are not meant to go together. But

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<v Speaker 1>from a perception standpoint, from how you go and see

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<v Speaker 1>people pitching ideas and investing in ideas, people should not

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<v Speaker 1>be investing in ideas. People should be investing in project

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<v Speaker 1>in organizations, in in dreams if you want, if you

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<v Speaker 1>want to take it to the extreme. But ideas just

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<v Speaker 1>they are born bad. All ideas are effectively born bad.

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<v Speaker 1>Ideas are born bad. Yes, go into more details about

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<v Speaker 1>what why do you believe all ideas are born bad? Well,

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<v Speaker 1>you know if you truly have one of those ideas

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<v Speaker 1>that in the futures, when someone will say they were

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<v Speaker 1>innovative right, What you realize is that there is a

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<v Speaker 1>lot to learn ahead of you, and it's just impossible

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<v Speaker 1>for you to have figured it out all in your head.

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<v Speaker 1>So the first thing that needs to happen to that

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<v Speaker 1>idea is change, because it's in your head and it

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<v Speaker 1>doesn't exist anywhere, and for it to exist, you need

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<v Speaker 1>to scale something up to the world. And it would

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<v Speaker 1>be amazing if you had figured everything out perfectly in

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<v Speaker 1>your head. So you need to almost assume that your

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<v Speaker 1>idea interesting, enticing as it seems to you, it's just

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<v Speaker 1>fundamentally wrong in more ways than it is actually right,

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<v Speaker 1>and that's how you figure out how to get it

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<v Speaker 1>the scale. So, in other words, an idea is almost

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<v Speaker 1>a conclusion, and you need all the intervening steps to

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<v Speaker 1>get there. And by the time you're done your idea

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<v Speaker 1>we only look like the initial idea to you, but

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<v Speaker 1>to no one else. So how does one develop innovations hunches?

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<v Speaker 1>I don't I won't say ideas. How does one develop

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<v Speaker 1>the skills to produce better hunches and lead yourself towards

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<v Speaker 1>greater innovation. It's actually much simpler than people think, once

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<v Speaker 1>you remove the obsession to come up with the earth

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<v Speaker 1>chattering or disruptive idea. Then you realize that all you

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<v Speaker 1>need to start is something that doesn't seem to be right,

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<v Speaker 1>So you might as well start by putting trying to

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<v Speaker 1>put together two things that actually don't simp to fit together.

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<v Speaker 1>And then that causes you to ask the question, Okay,

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<v Speaker 1>this doesn't work why, And as you start from there,

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<v Speaker 1>you realize that all you need to do is continue

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<v Speaker 1>to put these pieces, these parts together, to prove to

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<v Speaker 1>yourself that this will actually not work. Slowly, you increasingly

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<v Speaker 1>either build up scale just give up on it, mostly

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<v Speaker 1>because you lose interest. And that's fine. That's how we

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<v Speaker 1>humans operate. It's actually very simple way to do it,

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<v Speaker 1>and you can practice it. So as you practice, you

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<v Speaker 1>start to see opportunities that are essentially emerging things that

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<v Speaker 1>you and perhaps only you see that are meant to

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<v Speaker 1>go together. But then what else does just yet? That's

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<v Speaker 1>quite interesting. What do you think the differences between ideas

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<v Speaker 1>and execution, because they really are two completely different skill sets.

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<v Speaker 1>There are two completely different skill sets. But you know,

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<v Speaker 1>my experience when when I've taught over years, is that

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<v Speaker 1>paying too much attention to those two words actually gets

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<v Speaker 1>you into linear thinking, because then it because as you

0:12:58.080 --> 0:13:00.760
<v Speaker 1>to ask the question when once should I stop ideating

0:13:00.760 --> 0:13:04.280
<v Speaker 1>and then start executing, meaning to linear, not to line,

0:13:04.400 --> 0:13:07.360
<v Speaker 1>flexible or exactly. And what we know from innovations, and

0:13:07.400 --> 0:13:10.200
<v Speaker 1>every single treatise and innovation tells you this is that

0:13:10.280 --> 0:13:13.280
<v Speaker 1>innovation is fundamentally nonlinear. If you endeavor set you up

0:13:13.280 --> 0:13:15.040
<v Speaker 1>to try to predict the future so that you know

0:13:15.080 --> 0:13:17.640
<v Speaker 1>when to start executing, you are starting the wrong way.

0:13:17.880 --> 0:13:20.080
<v Speaker 1>So what I tell my students and what we the

0:13:20.120 --> 0:13:21.840
<v Speaker 1>way we teach it and the way I explained in

0:13:21.840 --> 0:13:25.240
<v Speaker 1>the book is your challenge is to scale up something

0:13:25.559 --> 0:13:27.800
<v Speaker 1>that's the only thing that matters. And you cannot scale

0:13:27.840 --> 0:13:31.600
<v Speaker 1>up by mostly dissociating an execution from idea. Execution will

0:13:31.679 --> 0:13:34.000
<v Speaker 1>change your idea, and your idea will change what you

0:13:34.080 --> 0:13:38.240
<v Speaker 1>execute on continuously at different scales. So is that from

0:13:38.280 --> 0:13:41.720
<v Speaker 1>whence comes the infamous pivot or you get all these

0:13:42.120 --> 0:13:45.760
<v Speaker 1>startup companies and Silicon Valley and they look like they're

0:13:45.800 --> 0:13:49.320
<v Speaker 1>going to be one thing, and then halfway through suddenly

0:13:49.760 --> 0:13:53.360
<v Speaker 1>the point in a different direction from a fundamentally similar

0:13:54.480 --> 0:13:57.520
<v Speaker 1>technology or idea. But but the problem they're trying to

0:13:57.559 --> 0:14:01.040
<v Speaker 1>solve seems to be something completely different, any original idea.

0:14:01.320 --> 0:14:03.920
<v Speaker 1>I love that you called it infamous pivot. It wasn't me,

0:14:04.080 --> 0:14:07.400
<v Speaker 1>you did it. Yes, well, haven't we heard that phrase

0:14:07.440 --> 0:14:10.240
<v Speaker 1>a million times in the past. You know a lot

0:14:10.240 --> 0:14:12.800
<v Speaker 1>about the innovation we're just chatting about. It depends on

0:14:13.679 --> 0:14:15.880
<v Speaker 1>from where you're looking at it. So if you are

0:14:15.880 --> 0:14:17.800
<v Speaker 1>at the receiving end of it, and you're just looking

0:14:17.840 --> 0:14:20.080
<v Speaker 1>at what a company does without all the knowledge of

0:14:20.120 --> 0:14:22.560
<v Speaker 1>what they're doing every day, it looks at as though

0:14:22.600 --> 0:14:25.760
<v Speaker 1>they change direction all the time. Now that's just a

0:14:25.800 --> 0:14:28.720
<v Speaker 1>perception from the outside, which means it's not what you

0:14:28.720 --> 0:14:31.400
<v Speaker 1>should do. It's what people think you're doing. But what

0:14:31.480 --> 0:14:35.800
<v Speaker 1>you are doing is effectively continuously changed incrementally how you're

0:14:35.840 --> 0:14:39.120
<v Speaker 1>thinking about it, reformulating it continuously, and as you start

0:14:39.160 --> 0:14:41.920
<v Speaker 1>to get traction in different directions, it seems as though

0:14:41.920 --> 0:14:44.280
<v Speaker 1>you're doing different things. But every time you look at

0:14:44.320 --> 0:14:47.240
<v Speaker 1>any of those stories, the way they really happened, not

0:14:47.400 --> 0:14:49.880
<v Speaker 1>the way they are told. There was no pivot. Nobody

0:14:49.920 --> 0:14:52.200
<v Speaker 1>started pivoting and changing in their mind every ten seconds,

0:14:52.520 --> 0:14:55.600
<v Speaker 1>And the advice to pivot constantly makes no particular sense

0:14:55.640 --> 0:14:59.560
<v Speaker 1>to me. So they're they're working on something. It's evolving,

0:14:59.600 --> 0:15:03.280
<v Speaker 1>it's rating over time, and suddenly, I think you use

0:15:03.320 --> 0:15:06.720
<v Speaker 1>the phrase traction, something starts to gain traction and scale.

0:15:07.120 --> 0:15:10.160
<v Speaker 1>So what we're hearing after the fact as a pivot

0:15:10.720 --> 0:15:15.520
<v Speaker 1>is really a normal evolution towards something that's that's working. Yes,

0:15:15.720 --> 0:15:18.560
<v Speaker 1>except that some companies have taken as a mantra to

0:15:18.680 --> 0:15:20.600
<v Speaker 1>take pivoting as a as a thing they do. And

0:15:20.640 --> 0:15:22.800
<v Speaker 1>so every now and then they say they try to

0:15:22.840 --> 0:15:26.360
<v Speaker 1>cause them themselves to think, how should I change direction today?

0:15:26.520 --> 0:15:29.840
<v Speaker 1>And that's a really hard question. Actually, the field of entrepreneurship,

0:15:29.840 --> 0:15:32.880
<v Speaker 1>which is different from innovation, is full of really strange questions.

0:15:33.840 --> 0:15:36.800
<v Speaker 1>Give us another example we've just discussed, when should I

0:15:36.840 --> 0:15:39.960
<v Speaker 1>stop be the aating versus executing? I don't know how

0:15:40.000 --> 0:15:43.160
<v Speaker 1>to even pose that question meaningfully. Should I pivot today?

0:15:43.280 --> 0:15:45.840
<v Speaker 1>Maybe maybe not? I just I have no data, no

0:15:45.960 --> 0:15:50.080
<v Speaker 1>evidence to kind of grasp some other advice. You hear

0:15:50.120 --> 0:15:52.120
<v Speaker 1>a lot of this focus on the user, but really,

0:15:52.160 --> 0:15:55.080
<v Speaker 1>if what you're doing is that new, is there already

0:15:55.120 --> 0:15:57.880
<v Speaker 1>a user for it? If not, you're just making it up.

0:15:58.120 --> 0:16:00.120
<v Speaker 1>By the way, I'm all for making stuff up, I'm

0:16:00.160 --> 0:16:03.280
<v Speaker 1>not for ignoring the fact that you just made it up, right,

0:16:03.320 --> 0:16:05.840
<v Speaker 1>So it's concealing the assumption you make is actually the

0:16:05.880 --> 0:16:08.840
<v Speaker 1>big mistake you would do. So there's an apocryphal story

0:16:08.880 --> 0:16:14.240
<v Speaker 1>about Steve Jobs and the iPhone, and people at Apple

0:16:14.400 --> 0:16:17.680
<v Speaker 1>kind of challenged what he wanted to do, saying the

0:16:17.800 --> 0:16:22.800
<v Speaker 1>user doesn't have any idea what what a glass phone

0:16:22.880 --> 0:16:26.400
<v Speaker 1>is going to be like, and Jobs famously said, I'll

0:16:26.400 --> 0:16:28.880
<v Speaker 1>tell the user what they want. Is that what we're

0:16:28.920 --> 0:16:33.160
<v Speaker 1>talking about in terms of not focusing too much on

0:16:33.200 --> 0:16:36.400
<v Speaker 1>the user experience and instead, if you really want to innovate,

0:16:36.480 --> 0:16:38.520
<v Speaker 1>you have to forget about the user for a while.

0:16:38.920 --> 0:16:43.120
<v Speaker 1>So I think that we went back ten years ago, right,

0:16:43.240 --> 0:16:46.560
<v Speaker 1>maybe fifteen, and anybody came to us and said you

0:16:46.600 --> 0:16:49.440
<v Speaker 1>need to be listening to more podcasts, the answer would be,

0:16:49.560 --> 0:16:54.160
<v Speaker 1>what is this person talking about? Right? So I don't

0:16:54.160 --> 0:16:58.280
<v Speaker 1>think you can expect anybody, neither the innovator, nor the entrepreneur,

0:16:58.400 --> 0:17:01.680
<v Speaker 1>or the investor or anybody to predict the future, right.

0:17:02.040 --> 0:17:04.240
<v Speaker 1>And so at some point, if you truly are looking

0:17:04.240 --> 0:17:07.080
<v Speaker 1>for or five years ahead, and you're going to users

0:17:07.080 --> 0:17:09.399
<v Speaker 1>and hoping they have an answer of what the future

0:17:09.440 --> 0:17:13.760
<v Speaker 1>beholds five years had, I think you're delivering yourself like nobody,

0:17:13.840 --> 0:17:16.399
<v Speaker 1>nobody has that answer. Someone has to make up that future.

0:17:16.720 --> 0:17:19.960
<v Speaker 1>That's the way I hear what Steve Jobs might have said. Right,

0:17:20.520 --> 0:17:23.920
<v Speaker 1>I wasn't in the room. So let's talk a little

0:17:23.920 --> 0:17:28.000
<v Speaker 1>bit about what's going on in the world of innovation today.

0:17:28.640 --> 0:17:32.119
<v Speaker 1>How can we tell if a good idea or a

0:17:32.240 --> 0:17:37.200
<v Speaker 1>hunch is going to succeed? That's a question I get

0:17:37.240 --> 0:17:40.920
<v Speaker 1>every semester, and the answer, I'm afraid is you can't.

0:17:41.520 --> 0:17:43.399
<v Speaker 1>You just got to try it out. Just try it

0:17:43.400 --> 0:17:47.560
<v Speaker 1>out and see what happens. Now, the good news is

0:17:47.560 --> 0:17:49.560
<v Speaker 1>that you also get to define what success is. So

0:17:49.600 --> 0:17:52.240
<v Speaker 1>there's no way you can fail unless you make it

0:17:52.280 --> 0:17:57.320
<v Speaker 1>a purpose like many people do, meaning meaning that, well,

0:17:57.320 --> 0:18:01.120
<v Speaker 1>how do people define success if they have an idea? Well,

0:18:01.160 --> 0:18:03.320
<v Speaker 1>what I propose people do, and what I talk about

0:18:03.359 --> 0:18:04.920
<v Speaker 1>in my book is, you know you have a hunch.

0:18:05.359 --> 0:18:07.680
<v Speaker 1>How about we try to figure out what problem is

0:18:07.760 --> 0:18:10.359
<v Speaker 1>it that you three you really think you're solving. There's

0:18:10.359 --> 0:18:14.159
<v Speaker 1>a way to think about problems that's pretty straightforward. And

0:18:14.200 --> 0:18:16.480
<v Speaker 1>what I tell my my my students and they look

0:18:16.480 --> 0:18:20.440
<v Speaker 1>at me funny, is that, uh, if an alien species

0:18:20.440 --> 0:18:22.600
<v Speaker 1>where to come down to Earth and show you the solution,

0:18:22.640 --> 0:18:24.639
<v Speaker 1>would you even know that that's actually a solution to

0:18:24.680 --> 0:18:27.600
<v Speaker 1>your problem, because if not, then you will never find

0:18:27.640 --> 0:18:30.000
<v Speaker 1>it on your own, and that's how you fail. So

0:18:30.080 --> 0:18:33.120
<v Speaker 1>you start working backwards, what do you think solves the problem,

0:18:33.200 --> 0:18:35.480
<v Speaker 1>and then before you know you realize you actually get

0:18:35.480 --> 0:18:39.000
<v Speaker 1>to define everything. So you continue to do that, and

0:18:39.040 --> 0:18:41.119
<v Speaker 1>before you know it, you succeed. Maybe it's a different

0:18:41.160 --> 0:18:44.600
<v Speaker 1>way you thought you would, but that's how you succeed.

0:18:44.640 --> 0:18:48.159
<v Speaker 1>You try and you go through scale. You're the director

0:18:48.320 --> 0:18:52.400
<v Speaker 1>of the m I T Innovation Team's program. Yes, what

0:18:52.440 --> 0:18:55.960
<v Speaker 1>does that program do? What are its goals? And what

0:18:56.000 --> 0:18:59.720
<v Speaker 1>has come out of that program? So it's a very

0:19:00.080 --> 0:19:07.200
<v Speaker 1>usual entity in academia. A few years ago we thought about, well,

0:19:07.359 --> 0:19:09.880
<v Speaker 1>you know, we want to etiquate people to actually meaningful

0:19:09.880 --> 0:19:12.840
<v Speaker 1>to innovate as a career choice. How do we do that?

0:19:13.520 --> 0:19:16.600
<v Speaker 1>So most people think that you you want technologies from

0:19:16.600 --> 0:19:19.320
<v Speaker 1>academia to live and have an impact in the world,

0:19:19.320 --> 0:19:22.240
<v Speaker 1>and of course we want that. But what I really

0:19:22.280 --> 0:19:24.879
<v Speaker 1>want is for every single student at m I T

0:19:25.119 --> 0:19:28.199
<v Speaker 1>and wherever I've taught this now worldwide, to learn how

0:19:28.240 --> 0:19:30.240
<v Speaker 1>to do this as a career choice, and then they

0:19:30.240 --> 0:19:32.080
<v Speaker 1>can choose to do it or not. That's their choice.

0:19:32.720 --> 0:19:35.560
<v Speaker 1>So I thought, how do we do that? And it

0:19:35.600 --> 0:19:38.440
<v Speaker 1>occurred to us that you could actually get a Mighty Technologies,

0:19:38.480 --> 0:19:41.800
<v Speaker 1>which is a real tangible thing, and then ask students

0:19:41.840 --> 0:19:45.040
<v Speaker 1>from all domains. So I may get an engineering technology

0:19:45.040 --> 0:19:47.959
<v Speaker 1>and the students are from science, business and architecture, and

0:19:47.960 --> 0:19:51.040
<v Speaker 1>then try to teach them what it actually means to

0:19:51.080 --> 0:19:53.960
<v Speaker 1>innovate with that tangible starting point. And the process is

0:19:54.040 --> 0:19:56.760
<v Speaker 1>very simple. So someone in a lab at M I. T.

0:19:56.880 --> 0:19:59.720
<v Speaker 1>Has discovered that a new thing is actually possible. So

0:19:59.760 --> 0:20:03.280
<v Speaker 1>I of my students, Okay, somewhere they're hidden is a superpower.

0:20:04.160 --> 0:20:07.080
<v Speaker 1>We just don't know what the superpower is. And obviously

0:20:07.119 --> 0:20:09.200
<v Speaker 1>that superpower is going to solve a problem somewhere. We

0:20:09.359 --> 0:20:12.080
<v Speaker 1>just don't know where nor what the problem is. So

0:20:12.119 --> 0:20:14.600
<v Speaker 1>we need to solve for those two things. So people

0:20:14.680 --> 0:20:19.480
<v Speaker 1>are really approaching the concept of ideas and innovation backwards.

0:20:19.680 --> 0:20:22.919
<v Speaker 1>They're starting with the idea as opposed to what problems

0:20:22.960 --> 0:20:25.720
<v Speaker 1>to solve exactly. And that alone takes me about a

0:20:25.840 --> 0:20:30.240
<v Speaker 1>month for STEMS to appreciate that we're actually turning things

0:20:30.280 --> 0:20:35.760
<v Speaker 1>on its head because it's actually simpler problem and solve

0:20:35.800 --> 0:20:38.520
<v Speaker 1>it exactly. And of course there's no change we're going

0:20:38.560 --> 0:20:40.679
<v Speaker 1>to find the perfect problem at the start. But as

0:20:40.720 --> 0:20:42.359
<v Speaker 1>long as you understand how to do it, you can

0:20:42.359 --> 0:20:45.000
<v Speaker 1>do it increasingly more quickly. And that's what led me

0:20:45.040 --> 0:20:47.280
<v Speaker 1>to believe that you could actually practice this even when

0:20:47.280 --> 0:20:48.919
<v Speaker 1>you don't have a technology at the input, which is

0:20:48.920 --> 0:20:51.840
<v Speaker 1>what the book covers. Um. But beauty is that the

0:20:51.880 --> 0:20:55.360
<v Speaker 1>result is actually very clear path to action to take

0:20:55.400 --> 0:20:58.440
<v Speaker 1>this technology, change it and address a problem that even

0:20:58.480 --> 0:21:01.840
<v Speaker 1>the researchers hadn't hadn't about. And so a bunch of

0:21:01.880 --> 0:21:03.760
<v Speaker 1>startups have actually come out of this, even though it's

0:21:03.760 --> 0:21:06.640
<v Speaker 1>not my objective, right, My objective is to educate students,

0:21:06.640 --> 0:21:10.159
<v Speaker 1>so they do this continuously. Right, So you write in

0:21:10.160 --> 0:21:15.119
<v Speaker 1>the book that people and again to reference Silicon Valley,

0:21:15.520 --> 0:21:18.320
<v Speaker 1>they do it backwards. They as soon as they have

0:21:18.359 --> 0:21:22.719
<v Speaker 1>an idea, they try and um get funding, They try

0:21:22.760 --> 0:21:25.919
<v Speaker 1>and go out and raise capital. You suggest not to

0:21:26.000 --> 0:21:30.280
<v Speaker 1>do that until way later explain the thinking. So there's

0:21:30.280 --> 0:21:34.560
<v Speaker 1>the ways to think about about that. Um, I think

0:21:35.040 --> 0:21:37.120
<v Speaker 1>that I while you have is an idea, which as

0:21:37.119 --> 0:21:39.960
<v Speaker 1>you know, I think they tend to be born not

0:21:40.119 --> 0:21:44.480
<v Speaker 1>so great, not to say bad ah, and you obsess

0:21:44.520 --> 0:21:47.679
<v Speaker 1>about pitching it and selling it. You're putting yourself in

0:21:47.720 --> 0:21:51.680
<v Speaker 1>the worst negotiation position you can possibly ever be, which

0:21:51.760 --> 0:21:54.119
<v Speaker 1>is someone else is going to decide what your company

0:21:54.160 --> 0:21:56.040
<v Speaker 1>is going to look like. They may give you money,

0:21:56.400 --> 0:21:58.160
<v Speaker 1>You may look like great because you've got the money,

0:21:58.200 --> 0:22:00.760
<v Speaker 1>but then you may soon realize your idea. UH needed

0:22:00.760 --> 0:22:03.520
<v Speaker 1>a whole different process. So I asked in the book,

0:22:03.560 --> 0:22:05.800
<v Speaker 1>I asked everybody who has an idea to think of

0:22:05.880 --> 0:22:09.080
<v Speaker 1>themselves as investors zero because the first time he's going

0:22:09.119 --> 0:22:12.720
<v Speaker 1>to be spent by them. And instead of spending six

0:22:12.760 --> 0:22:16.280
<v Speaker 1>months touring vcs or asking for money, what can you

0:22:16.320 --> 0:22:20.200
<v Speaker 1>accomplish in those six months to spare yourself the agony

0:22:20.320 --> 0:22:22.639
<v Speaker 1>of going for money with a bad idea, and in

0:22:22.680 --> 0:22:25.000
<v Speaker 1>the process, can you actually make that idea better? And

0:22:25.000 --> 0:22:27.320
<v Speaker 1>that's what I mean by exploring at first. Now I've

0:22:27.320 --> 0:22:31.640
<v Speaker 1>got to say that nowadays, UH, and a good friend

0:22:31.680 --> 0:22:35.920
<v Speaker 1>of mine alerting it to this, UH, nowadays capital has

0:22:35.960 --> 0:22:38.800
<v Speaker 1>become cheap in the sense that there's an abundance of

0:22:38.840 --> 0:22:41.359
<v Speaker 1>capital for investors, and so now it's even harder for

0:22:41.400 --> 0:22:45.479
<v Speaker 1>people with good ideas or with a desire to produce

0:22:45.520 --> 0:22:50.000
<v Speaker 1>good ideas to not be drawn into this frenzy of

0:22:50.200 --> 0:22:53.520
<v Speaker 1>asking for money and then going and creating a company

0:22:53.680 --> 0:22:56.360
<v Speaker 1>on top of something that's really maybe not that great

0:22:56.640 --> 0:23:00.480
<v Speaker 1>starting point. The name of the program you wrecked has

0:23:00.520 --> 0:23:03.879
<v Speaker 1>the word teams right in it. What is it about

0:23:03.920 --> 0:23:07.040
<v Speaker 1>teams that's so important? And doesn't that kind of contradict

0:23:07.080 --> 0:23:10.439
<v Speaker 1>the idea of the loan inventor toiling away in his

0:23:10.560 --> 0:23:14.680
<v Speaker 1>lab or her lab until late at night. Interesting, So

0:23:14.960 --> 0:23:17.480
<v Speaker 1>I'm not sure the lon inventor at the lab will

0:23:17.480 --> 0:23:21.320
<v Speaker 1>actually become the innovator, right. Sometimes they do somethings they don't,

0:23:21.359 --> 0:23:24.080
<v Speaker 1>But in order to become an innovator, they have to

0:23:24.119 --> 0:23:27.600
<v Speaker 1>become something else, right. That's something else is they are

0:23:27.680 --> 0:23:30.440
<v Speaker 1>required to talk to other people for some purpose, even

0:23:30.600 --> 0:23:32.840
<v Speaker 1>if to understand what the world looks like outside of

0:23:32.840 --> 0:23:36.200
<v Speaker 1>the lab and learn about the stuff they haven't learned

0:23:36.200 --> 0:23:39.680
<v Speaker 1>in the lab. They have to be ready to change

0:23:39.720 --> 0:23:41.719
<v Speaker 1>the idea. They have to be ready to use science

0:23:41.760 --> 0:23:44.840
<v Speaker 1>or technology or their discipline, whatever it may be, a

0:23:44.880 --> 0:23:47.600
<v Speaker 1>different way, uh than they were used to do it

0:23:47.640 --> 0:23:49.679
<v Speaker 1>in the lab, or if they are in a company,

0:23:49.720 --> 0:23:52.760
<v Speaker 1>in their company. Right. And so once you do that,

0:23:53.640 --> 0:23:56.680
<v Speaker 1>sometime along the process, there's got to be a team

0:23:56.720 --> 0:24:00.159
<v Speaker 1>because there's no company of one, right, So it not

0:24:00.280 --> 0:24:02.359
<v Speaker 1>so much that the team is important is that you

0:24:02.400 --> 0:24:06.280
<v Speaker 1>need to learn how to connect with other people and

0:24:06.640 --> 0:24:09.639
<v Speaker 1>let other people go and along the path discover how

0:24:09.720 --> 0:24:11.720
<v Speaker 1>to interact with people to actually bring the idea at

0:24:11.720 --> 0:24:14.639
<v Speaker 1>the scale. So we call it teams to emphasize the

0:24:14.680 --> 0:24:16.840
<v Speaker 1>fact that we're going to bring people from different disciplines

0:24:16.880 --> 0:24:19.440
<v Speaker 1>together and they're going to learn because remember it's a

0:24:19.480 --> 0:24:23.800
<v Speaker 1>medicational experience, that's a trick. They're going to learn how

0:24:24.600 --> 0:24:27.160
<v Speaker 1>good or bad they are and interacting with other kinds

0:24:27.200 --> 0:24:28.800
<v Speaker 1>of people, and they're going to learn how to either

0:24:28.920 --> 0:24:30.879
<v Speaker 1>change that or they're going to learn who do not

0:24:31.000 --> 0:24:33.240
<v Speaker 1>to work with again in the future. Let's talk a

0:24:33.320 --> 0:24:37.000
<v Speaker 1>little bit about your career in academia. How did you

0:24:37.040 --> 0:24:39.840
<v Speaker 1>find your way to m I T the first time.

0:24:40.920 --> 0:24:45.679
<v Speaker 1>So I was finishing my master's degree in Spain and

0:24:45.720 --> 0:24:48.480
<v Speaker 1>I decided I wanted to try something new, and a

0:24:48.480 --> 0:24:50.320
<v Speaker 1>friend of my family said you should go to the

0:24:50.359 --> 0:24:54.120
<v Speaker 1>United States, and I said, okay, And so I looked

0:24:54.119 --> 0:24:57.080
<v Speaker 1>around and I found these people working on a mix

0:24:57.080 --> 0:25:00.400
<v Speaker 1>of artificial intelligence and math, and I really wanted do that,

0:25:00.480 --> 0:25:02.359
<v Speaker 1>even though I was just a chemical engineer at the

0:25:02.400 --> 0:25:05.320
<v Speaker 1>time or not even that yet. And so I sent

0:25:05.359 --> 0:25:10.399
<v Speaker 1>an email Ah, asking to meet, and then another and

0:25:10.440 --> 0:25:13.400
<v Speaker 1>then another, and I kept on being told a bunch

0:25:13.440 --> 0:25:15.639
<v Speaker 1>of things, but none of them was no. Everything was

0:25:15.640 --> 0:25:17.919
<v Speaker 1>a challenge. So well, we may not be able to

0:25:17.920 --> 0:25:19.680
<v Speaker 1>get you a visa, and then I answered, I'll figure

0:25:19.720 --> 0:25:23.200
<v Speaker 1>that out, even though I didn't know how, and blah

0:25:23.280 --> 0:25:25.320
<v Speaker 1>blah blah. You can imagine. That went for nine months.

0:25:25.480 --> 0:25:27.320
<v Speaker 1>And at the end of nine months, I responded to

0:25:27.400 --> 0:25:31.800
<v Speaker 1>this professor who's since become a good friend. Uh, you

0:25:31.840 --> 0:25:34.040
<v Speaker 1>know what, Just tell me now, I said, because if

0:25:34.040 --> 0:25:35.720
<v Speaker 1>you don't tell me now, I'm just going to keep

0:25:35.760 --> 0:25:39.840
<v Speaker 1>going at it. And I needed to say no, Ah,

0:25:39.920 --> 0:25:42.480
<v Speaker 1>And they don't like to say no. Dude, that apparently not.

0:25:43.119 --> 0:25:44.879
<v Speaker 1>I thought that I thought he would. I thought he

0:25:44.880 --> 0:25:48.000
<v Speaker 1>would immediately say no and then uh, And I told him,

0:25:48.000 --> 0:25:49.560
<v Speaker 1>you know, I have lots of offers to stay around

0:25:49.600 --> 0:25:52.480
<v Speaker 1>here and do my master's thesis. I just want to

0:25:52.480 --> 0:25:54.760
<v Speaker 1>go work with you. I've told you all these things.

0:25:54.760 --> 0:25:56.879
<v Speaker 1>I've said we would sort it out, but say no,

0:25:57.200 --> 0:26:00.320
<v Speaker 1>or I will continue forever. I will never graduate. And

0:26:00.400 --> 0:26:04.640
<v Speaker 1>so he he's said to me, Okay, give me three days,

0:26:05.119 --> 0:26:06.919
<v Speaker 1>which was not the response I was expecting. I was

0:26:07.000 --> 0:26:10.280
<v Speaker 1>respecting the response no, and then he in the end

0:26:10.320 --> 0:26:12.320
<v Speaker 1>he said, okay, you can come. And that was the

0:26:12.359 --> 0:26:15.119
<v Speaker 1>first time I made it to M I T, mostly

0:26:15.160 --> 0:26:19.399
<v Speaker 1>as a visitor to work on artificial intelligence, being a

0:26:19.440 --> 0:26:22.000
<v Speaker 1>chemical engineer, which was the first time I realized that

0:26:22.040 --> 0:26:25.919
<v Speaker 1>what your study should not constrain you, h makes a

0:26:25.960 --> 0:26:29.600
<v Speaker 1>lot of sense. And yet I'm not sure everybody would

0:26:29.640 --> 0:26:32.000
<v Speaker 1>actually realize how much they led their background constrain them

0:26:32.000 --> 0:26:35.199
<v Speaker 1>instead of actually empowering them. So so that's the way

0:26:35.240 --> 0:26:36.320
<v Speaker 1>I first made it to a M I T. And

0:26:36.320 --> 0:26:39.159
<v Speaker 1>ever since they've come and gone six or seven times, right,

0:26:39.320 --> 0:26:41.800
<v Speaker 1>so you gotta you ended up getting a graduate degree

0:26:41.840 --> 0:26:44.439
<v Speaker 1>from M I T. Yes, But later first I did

0:26:44.480 --> 0:26:47.160
<v Speaker 1>a startup in Silicon Valley. I actually spent some months

0:26:47.200 --> 0:26:49.000
<v Speaker 1>at M I T. Then they offered me to stay

0:26:49.000 --> 0:26:52.040
<v Speaker 1>for a PhD. I applied and I got accepted, and

0:26:52.080 --> 0:26:53.959
<v Speaker 1>then I said, no, I'm not doing it. I've studied

0:26:53.960 --> 0:26:56.320
<v Speaker 1>for too long. I need real world experience, and I

0:26:56.359 --> 0:26:58.920
<v Speaker 1>went need the startup in Silicon Valley. What was the

0:26:58.960 --> 0:27:01.560
<v Speaker 1>start up to look itself? Phones in case of emergency

0:27:01.600 --> 0:27:05.240
<v Speaker 1>actually exactly to this day, when you call in any

0:27:05.240 --> 0:27:07.240
<v Speaker 1>one one in most of the states in the United States.

0:27:07.280 --> 0:27:09.199
<v Speaker 1>You were being located by the company we founded with

0:27:09.240 --> 0:27:12.679
<v Speaker 1>the technology WIN and oh, that's fantastic, it's phenomenal. And

0:27:12.720 --> 0:27:16.240
<v Speaker 1>then and you're using triangulation between cell towers or some

0:27:17.200 --> 0:27:21.200
<v Speaker 1>formula based on that, I'm like, we're using AI. So

0:27:21.280 --> 0:27:26.040
<v Speaker 1>it's artificial intelligence based on factors, not the old way,

0:27:26.080 --> 0:27:28.760
<v Speaker 1>which was the way. It turns out the triangulation would

0:27:28.760 --> 0:27:31.280
<v Speaker 1>actually not work, but it would take me a long

0:27:31.280 --> 0:27:35.080
<v Speaker 1>time actually to persuade you that that doesn't work. But

0:27:35.160 --> 0:27:37.119
<v Speaker 1>it actually links to a lot of what I discovered

0:27:37.160 --> 0:27:39.879
<v Speaker 1>since that the way we use science is very constraining,

0:27:40.000 --> 0:27:41.520
<v Speaker 1>we use it as a model. We tried to feed

0:27:41.560 --> 0:27:43.840
<v Speaker 1>the world to the science. But with AI, you can

0:27:43.840 --> 0:27:45.520
<v Speaker 1>do it the other way around, and you can make

0:27:45.520 --> 0:27:47.600
<v Speaker 1>science much more playable. And that's what I've been doing

0:27:47.680 --> 0:27:51.160
<v Speaker 1>for years in my reality. And then you find out

0:27:51.160 --> 0:27:52.760
<v Speaker 1>where it takes you, and you find out where it

0:27:52.760 --> 0:27:54.720
<v Speaker 1>takes you, and you can actually work and operate directly

0:27:54.760 --> 0:27:57.480
<v Speaker 1>on problems, which is what we didn't did then back then.

0:27:57.800 --> 0:27:59.920
<v Speaker 1>The real problem was and this is like already twenty

0:27:59.880 --> 0:28:03.280
<v Speaker 1>years ago, so you've been located by AI ever since

0:28:03.800 --> 0:28:07.160
<v Speaker 1>to help you. Right, So we realized the only problem

0:28:07.280 --> 0:28:10.919
<v Speaker 1>was that we didn't know where you were and you

0:28:10.960 --> 0:28:13.280
<v Speaker 1>needed us to know, and then we don't care. If

0:28:13.320 --> 0:28:16.240
<v Speaker 1>triangulation works, right, the problem to solve is where are

0:28:16.280 --> 0:28:19.640
<v Speaker 1>you when you call anyone one? Right? That's it. If

0:28:19.680 --> 0:28:22.240
<v Speaker 1>triangulation that work, then we need something else. And there

0:28:22.280 --> 0:28:24.040
<v Speaker 1>is data, and the data we have is rich because

0:28:24.080 --> 0:28:27.520
<v Speaker 1>it contains everything that's surroundings. So we built an AI

0:28:27.640 --> 0:28:29.639
<v Speaker 1>that would actually learn from that data how to locate

0:28:29.720 --> 0:28:31.960
<v Speaker 1>you for the purpose of any one one of course,

0:28:32.520 --> 0:28:35.199
<v Speaker 1>and so that worked out to this day. It's the

0:28:35.280 --> 0:28:39.920
<v Speaker 1>most phenomenal technology that does this. It's incredibly scalable and

0:28:40.200 --> 0:28:43.000
<v Speaker 1>it works and it looks near magical because it's not

0:28:43.040 --> 0:28:46.480
<v Speaker 1>based on model thinking or science based thinking of those.

0:28:46.480 --> 0:28:48.160
<v Speaker 1>Science plays a role, but it's not the way we

0:28:48.240 --> 0:28:51.960
<v Speaker 1>typically use science. So after that company, did you then

0:28:52.000 --> 0:28:54.160
<v Speaker 1>go back and get your PhD from M I T

0:28:54.520 --> 0:28:56.240
<v Speaker 1>or I went back to I did everything in the

0:28:56.240 --> 0:28:57.960
<v Speaker 1>wrong order, So I got I did a company in

0:28:57.960 --> 0:28:59.400
<v Speaker 1>an AI, and then I went to do a pH

0:28:59.520 --> 0:29:03.480
<v Speaker 1>d in AI. People typically do a NBA, but somehow

0:29:03.520 --> 0:29:05.640
<v Speaker 1>I I got my cables crossed. Do you have a

0:29:05.680 --> 0:29:08.480
<v Speaker 1>business degree? Yeah? That I got after before I actually

0:29:08.520 --> 0:29:12.120
<v Speaker 1>did the company. So so as I said everything in

0:29:12.160 --> 0:29:14.640
<v Speaker 1>the wrong worder, I did my PhD. Half the way

0:29:14.680 --> 0:29:17.360
<v Speaker 1>through my PhD, I needed more challenge, so I took

0:29:17.400 --> 0:29:19.400
<v Speaker 1>a year of sabbatical from my PhD and went to

0:29:19.400 --> 0:29:23.200
<v Speaker 1>live in France, and I continued working for my company,

0:29:23.320 --> 0:29:24.840
<v Speaker 1>and at the same time, I took a degree in

0:29:24.880 --> 0:29:28.400
<v Speaker 1>quantum mechanics because I thought quantum computing was going to

0:29:28.440 --> 0:29:33.160
<v Speaker 1>be hot, and I needed to understand that hot. It

0:29:33.280 --> 0:29:37.640
<v Speaker 1>is becoming hot. It's actually a fascinating field and uh.

0:29:37.960 --> 0:29:40.080
<v Speaker 1>And then I went back to m I T, finished

0:29:40.080 --> 0:29:42.200
<v Speaker 1>my PhD, did a number of startups on the side,

0:29:42.200 --> 0:29:44.280
<v Speaker 1>and as I was leaving m I T I was

0:29:44.680 --> 0:29:47.600
<v Speaker 1>approached by a faculty who had taught me, who had

0:29:47.640 --> 0:29:52.040
<v Speaker 1>seen me teach in context, and said, would you help

0:29:52.120 --> 0:29:55.520
<v Speaker 1>us set up this program innovation teams that needs revamped

0:29:56.200 --> 0:29:58.240
<v Speaker 1>to truly do what it's meant to accomplish. And you've

0:29:58.280 --> 0:30:00.680
<v Speaker 1>done this, he said, because you've you understand you have

0:30:00.720 --> 0:30:03.200
<v Speaker 1>a PhD and the sounds to be rigorous. And at

0:30:03.200 --> 0:30:05.800
<v Speaker 1>the same time, you've done this in the real world

0:30:05.840 --> 0:30:09.600
<v Speaker 1>with real technologies from scratch, and you actually are not

0:30:09.680 --> 0:30:12.360
<v Speaker 1>afraid of any deep attack as you can imagine with physics,

0:30:12.800 --> 0:30:18.360
<v Speaker 1>engine chemical engineering, and and and intentions as a background,

0:30:18.800 --> 0:30:22.360
<v Speaker 1>I'm not scared of technology anymore if I ever was right, uh,

0:30:22.400 --> 0:30:25.360
<v Speaker 1>And so I see all kinds of fantastic technologies and

0:30:25.400 --> 0:30:28.080
<v Speaker 1>I actually can help through that process. And that's how

0:30:28.920 --> 0:30:33.040
<v Speaker 1>I stayed in academia. So that's a really interesting arc

0:30:33.080 --> 0:30:36.680
<v Speaker 1>of a career. M I t is well known for

0:30:36.840 --> 0:30:42.080
<v Speaker 1>having a very savvy, intelligent student body. What have you

0:30:42.160 --> 0:30:45.520
<v Speaker 1>learned from your students? All sorts of things. First of all,

0:30:45.600 --> 0:30:48.120
<v Speaker 1>that the better I get, or actually should put it

0:30:48.120 --> 0:30:51.240
<v Speaker 1>into reverse, the the more I see them do what

0:30:51.360 --> 0:30:53.320
<v Speaker 1>I teach them, the more I realize I can teach more.

0:30:53.840 --> 0:30:57.240
<v Speaker 1>I know that in the general world sometimes less is better,

0:30:57.560 --> 0:31:01.479
<v Speaker 1>but might t more is better. So so I've gotten

0:31:01.560 --> 0:31:05.440
<v Speaker 1>to actually teach so much more throughout a semester than

0:31:05.520 --> 0:31:07.840
<v Speaker 1>I thought possible before, to the point that I now

0:31:07.880 --> 0:31:11.080
<v Speaker 1>believe that I can anybody, no whether their background, can

0:31:11.120 --> 0:31:14.200
<v Speaker 1>be trained to innovate starting from what they have. And

0:31:14.240 --> 0:31:16.520
<v Speaker 1>that's why I wrote the book. And that I learned

0:31:16.520 --> 0:31:20.400
<v Speaker 1>from the students by actually pushing the envelope. Um. The

0:31:20.440 --> 0:31:24.000
<v Speaker 1>other thing I learned, and this is shocking, This is

0:31:24.040 --> 0:31:27.800
<v Speaker 1>still shocking to me. Student body changes every two years.

0:31:28.000 --> 0:31:30.600
<v Speaker 1>And what I mean by that is that the mindset

0:31:30.640 --> 0:31:34.480
<v Speaker 1>of students changes radically every two years. I would have

0:31:34.480 --> 0:31:38.480
<v Speaker 1>thought it ten years or five or generational twenty every

0:31:38.520 --> 0:31:41.400
<v Speaker 1>two years. If you have not completely done a blank

0:31:41.480 --> 0:31:43.560
<v Speaker 1>slate in your head as to who the people are

0:31:43.600 --> 0:31:45.640
<v Speaker 1>in front of you, you're going to miss the bout.

0:31:45.720 --> 0:31:48.080
<v Speaker 1>So is that a function of the state of the economy.

0:31:48.160 --> 0:31:51.440
<v Speaker 1>Is that a function of technology and social networks? What's

0:31:51.520 --> 0:31:56.120
<v Speaker 1>driving that those changes? Or is it just a perennial backdrop?

0:31:56.240 --> 0:31:58.560
<v Speaker 1>Things are always changing. I've tried to all sorts of

0:31:58.600 --> 0:32:01.240
<v Speaker 1>explanations in the back of my head. Sometimes I thought

0:32:01.280 --> 0:32:05.480
<v Speaker 1>it was emergency of cell phones and so on. Uh,

0:32:05.680 --> 0:32:07.400
<v Speaker 1>sure those play a role, but there is something new

0:32:07.480 --> 0:32:09.760
<v Speaker 1>like that every two years. So every year, every two

0:32:09.840 --> 0:32:13.360
<v Speaker 1>years is different. Every semester is different already, But every

0:32:13.360 --> 0:32:16.520
<v Speaker 1>two years you need to entirely clean the class and

0:32:16.600 --> 0:32:18.719
<v Speaker 1>redo it from the grounds aps so that you can

0:32:18.760 --> 0:32:22.600
<v Speaker 1>actually communicate meaningfully with students, which makes me better. Right,

0:32:23.200 --> 0:32:26.320
<v Speaker 1>that's how I get better. That's pretty pretty wild. Let's

0:32:26.400 --> 0:32:31.520
<v Speaker 1>let's talk about innovation around the world. Where are some

0:32:31.640 --> 0:32:37.440
<v Speaker 1>of the most significant innovations being created globally? It's hard

0:32:37.480 --> 0:32:40.200
<v Speaker 1>to answer that question because if you believe what I've

0:32:40.320 --> 0:32:42.360
<v Speaker 1>what I've said about innovation before, we won't know it

0:32:42.440 --> 0:32:44.560
<v Speaker 1>until it's done, and then we'll call it an innovation

0:32:44.560 --> 0:32:47.720
<v Speaker 1>in hindsight. But what it's doing it looks preposterous. So

0:32:47.720 --> 0:32:51.000
<v Speaker 1>so let me ask that question slightly differently. We're very

0:32:51.080 --> 0:32:53.960
<v Speaker 1>much biased, and here in the United States we think

0:32:54.000 --> 0:32:59.360
<v Speaker 1>of ourselves as a capital of innovation. Is America still

0:32:59.800 --> 0:33:06.840
<v Speaker 1>a leader in innovation compared to its recent history? If

0:33:06.840 --> 0:33:09.880
<v Speaker 1>you were to talk to a number of historians and economies,

0:33:09.880 --> 0:33:12.760
<v Speaker 1>they would tell you that innovation is over. Actually, every

0:33:12.880 --> 0:33:17.120
<v Speaker 1>thirty years someone says that, uh so, there is something

0:33:17.480 --> 0:33:21.680
<v Speaker 1>very unique and amazing about American culture. And I say

0:33:21.720 --> 0:33:24.160
<v Speaker 1>that from the perspective of someone who came here for

0:33:24.280 --> 0:33:26.520
<v Speaker 1>what he thought was just a year and could not

0:33:27.320 --> 0:33:31.360
<v Speaker 1>getting stuff to leave, actually because I love it. Ah,

0:33:31.640 --> 0:33:35.040
<v Speaker 1>American culture combines ingenuity with a kind of attitude, with

0:33:35.240 --> 0:33:39.080
<v Speaker 1>a trying things out and not being afraid to not

0:33:39.160 --> 0:33:41.719
<v Speaker 1>get things right the first time. And noticed I avoid

0:33:41.720 --> 0:33:44.840
<v Speaker 1>the word failing. Well, I was gonna say I look

0:33:44.880 --> 0:33:48.160
<v Speaker 1>at failure in the United States as not a black

0:33:48.280 --> 0:33:50.840
<v Speaker 1>mark that it is elsewhere. And if you look at

0:33:51.240 --> 0:33:53.960
<v Speaker 1>some of the world's great innovators, but it's Steve Jobs

0:33:54.000 --> 0:33:57.480
<v Speaker 1>or Henry Ford or Toms Ederson. All of them have

0:33:57.600 --> 0:34:02.360
<v Speaker 1>had substantial failures and that failure didn't operate as a

0:34:02.440 --> 0:34:06.680
<v Speaker 1>constraint for them going forward. And I don't maybe this

0:34:06.760 --> 0:34:09.879
<v Speaker 1>is my hometown bias, but I think around the rest

0:34:09.920 --> 0:34:13.400
<v Speaker 1>of the world, I think failure carries more of a

0:34:13.440 --> 0:34:17.279
<v Speaker 1>stigma than it does in the US. So I've had

0:34:17.320 --> 0:34:19.560
<v Speaker 1>to do a lot with that question. So I think

0:34:19.640 --> 0:34:21.800
<v Speaker 1>the word failure, which has become incredibly popular in the

0:34:21.880 --> 0:34:24.040
<v Speaker 1>last ten years, and only in the last ten years,

0:34:24.440 --> 0:34:27.600
<v Speaker 1>is being overused and it doesn't mean exactly what what

0:34:27.680 --> 0:34:29.719
<v Speaker 1>I perceived my students and the people I see in

0:34:29.719 --> 0:34:33.239
<v Speaker 1>the United States actually do. So failure is is the

0:34:33.280 --> 0:34:35.759
<v Speaker 1>word the rest of the world actually use it to

0:34:35.840 --> 0:34:40.000
<v Speaker 1>describe their fear. Their fear. Yes. So the first time

0:34:40.040 --> 0:34:42.640
<v Speaker 1>I went and I started teaching abroad, Uh, they asked

0:34:42.680 --> 0:34:46.000
<v Speaker 1>me what about failure with this kind of panicky eyes,

0:34:46.239 --> 0:34:48.399
<v Speaker 1>and I said, what about it? I said, it makes

0:34:48.400 --> 0:34:50.440
<v Speaker 1>no sense, it has no meaning, And they looked at

0:34:50.440 --> 0:34:52.040
<v Speaker 1>me and said, what do you means that? Yeah, why

0:34:52.040 --> 0:34:54.680
<v Speaker 1>do you even worry about that? I said, like it's

0:34:54.719 --> 0:34:58.120
<v Speaker 1>just the world has no meaning. You try it, it works,

0:34:58.200 --> 0:35:01.640
<v Speaker 1>or it doesn't work. That's it. And this doesn't work,

0:35:01.680 --> 0:35:04.239
<v Speaker 1>you move on to the next. Either fix it right

0:35:04.400 --> 0:35:06.520
<v Speaker 1>or you figure out you can't fix it. But then

0:35:06.560 --> 0:35:08.319
<v Speaker 1>it probably means you are no longer interested and you

0:35:08.320 --> 0:35:11.080
<v Speaker 1>move on. So the keyword failure that speaks over years.

0:35:11.080 --> 0:35:13.920
<v Speaker 1>He's actually destructing you from what I believe the true

0:35:14.000 --> 0:35:17.440
<v Speaker 1>American values, which is you just dry it up. It works, great,

0:35:17.520 --> 0:35:20.000
<v Speaker 1>doesn't work, you fix it, you don't care. You move on.

0:35:20.680 --> 0:35:24.560
<v Speaker 1>We have been speaking with Professor Louise Perez Breva of

0:35:24.840 --> 0:35:29.000
<v Speaker 1>m I T, author of an Innovating a Doer's Manifesto.

0:35:29.520 --> 0:35:32.200
<v Speaker 1>If you enjoy this conversation, be sure and stick around

0:35:32.200 --> 0:35:35.280
<v Speaker 1>for the podcast extras, where we keep the tape rolling

0:35:35.280 --> 0:35:38.680
<v Speaker 1>and continue discussing all things innovation. Be sure and check

0:35:38.719 --> 0:35:41.520
<v Speaker 1>out my daily column. You can find that on Bloomberg

0:35:41.600 --> 0:35:45.319
<v Speaker 1>View dot com. Follow me on Twitter at rit Halts.

0:35:45.360 --> 0:35:49.160
<v Speaker 1>We love your comments, feedback and suggestions right to us

0:35:49.239 --> 0:35:53.480
<v Speaker 1>at m IB podcast at Bloomberg dot net. I'm Barry

0:35:53.560 --> 0:35:57.360
<v Speaker 1>rit Halts. You're listening to Masters in Business on Bloomberg Radio.

0:36:10.239 --> 0:36:13.000
<v Speaker 1>Welcome to the podcast. Thank you, Louis for doing this.

0:36:13.080 --> 0:36:17.120
<v Speaker 1>I find your work fascinating and I have so many

0:36:17.239 --> 0:36:21.480
<v Speaker 1>questions to get to. I don't even know where to start.

0:36:22.080 --> 0:36:24.880
<v Speaker 1>What motivated you to write the book? Because writing a

0:36:24.920 --> 0:36:27.960
<v Speaker 1>book is a challenge, and then going out and talking

0:36:28.000 --> 0:36:31.680
<v Speaker 1>about it afterwards is a slog. What made you say?

0:36:32.200 --> 0:36:35.640
<v Speaker 1>I know, I'll put three d and fifty words pages

0:36:35.680 --> 0:36:38.759
<v Speaker 1>of words down to sum up my past twenty years

0:36:38.760 --> 0:36:41.040
<v Speaker 1>worth of work. So I can give you two stories,

0:36:41.080 --> 0:36:44.919
<v Speaker 1>the one forward and the one in kindsight. So looking

0:36:44.920 --> 0:36:46.520
<v Speaker 1>for what they had a clue what I was doing.

0:36:46.680 --> 0:36:49.720
<v Speaker 1>Let's be seriously. I figured stuff as I go because

0:36:49.800 --> 0:36:53.279
<v Speaker 1>learning is my thing, so so I didn't know what

0:36:53.400 --> 0:36:55.839
<v Speaker 1>it would take to write a book, nor how much

0:36:55.840 --> 0:36:58.960
<v Speaker 1>more work there wasn't after you're turning the manuscript that

0:36:59.120 --> 0:37:02.600
<v Speaker 1>second that's second half is you think you're done and

0:37:02.600 --> 0:37:04.560
<v Speaker 1>it's like, oh no, you've got six more months of work.

0:37:04.920 --> 0:37:10.000
<v Speaker 1>But in hindsight, the motivation was the true motivation was

0:37:10.040 --> 0:37:14.520
<v Speaker 1>that I've been teaching this for now a decade, and uh,

0:37:14.719 --> 0:37:18.960
<v Speaker 1>I know of all the problems, confusions, paradoxes that forming

0:37:19.000 --> 0:37:21.840
<v Speaker 1>my students heads, and the month I spent trying to

0:37:21.880 --> 0:37:25.120
<v Speaker 1>disabuse them of prejudices so that they see it's actually

0:37:25.239 --> 0:37:28.160
<v Speaker 1>far simpler, which doesn't mean it doesn't take a lot

0:37:28.160 --> 0:37:30.759
<v Speaker 1>of work. It does take a lot of work, but

0:37:30.800 --> 0:37:34.760
<v Speaker 1>it's actually far simpler to do and you can actually

0:37:34.840 --> 0:37:37.640
<v Speaker 1>practice it. Whereas people start to think about are you born,

0:37:37.760 --> 0:37:41.720
<v Speaker 1>are you made? And strange questions. That was what motivated

0:37:41.760 --> 0:37:43.239
<v Speaker 1>me to say, Okay, fine, I need to write this

0:37:43.280 --> 0:37:45.399
<v Speaker 1>down because there is no way they could ever get

0:37:45.400 --> 0:37:48.520
<v Speaker 1>it anywhere because all the other books say ask you

0:37:48.560 --> 0:37:51.840
<v Speaker 1>to fail, and I rather they succeed. So so that

0:37:52.000 --> 0:37:55.000
<v Speaker 1>was one piece. In hindsight, what this allowed me to

0:37:55.040 --> 0:37:58.879
<v Speaker 1>do is realize why I've been camping in academia. Uh.

0:37:58.880 --> 0:38:01.240
<v Speaker 1>It kind of helped me bring a bunch of thoughts together.

0:38:01.360 --> 0:38:03.879
<v Speaker 1>So if you look at my funny story arc, there's

0:38:03.960 --> 0:38:07.800
<v Speaker 1>just one constant all throughout, which is at I've always

0:38:07.880 --> 0:38:11.680
<v Speaker 1>made computers do my bidding. I've always used computers ever

0:38:11.680 --> 0:38:14.040
<v Speaker 1>since I was eight to have them do what I wanted,

0:38:14.040 --> 0:38:15.959
<v Speaker 1>and I've been obsessed about how to make that dumb

0:38:15.960 --> 0:38:20.960
<v Speaker 1>machine work for me forever. So and every time everything

0:38:21.000 --> 0:38:23.680
<v Speaker 1>I've done has actually, to some degree or another involved computers.

0:38:23.880 --> 0:38:26.200
<v Speaker 1>When I got into AI, I want to take this

0:38:26.280 --> 0:38:30.680
<v Speaker 1>to the next level, which is I need AI to

0:38:30.800 --> 0:38:33.320
<v Speaker 1>have me do and continue and play with the science

0:38:33.360 --> 0:38:35.319
<v Speaker 1>I still don't know, so I can reach further and

0:38:35.360 --> 0:38:39.520
<v Speaker 1>make up new stuff. Um so I never got that

0:38:39.600 --> 0:38:41.600
<v Speaker 1>from my PhD, and I spent a number of years

0:38:41.600 --> 0:38:43.520
<v Speaker 1>trying to figure out what I thought I was missing,

0:38:43.520 --> 0:38:46.720
<v Speaker 1>which is, how do you actually solve a real world problem?

0:38:46.760 --> 0:38:49.120
<v Speaker 1>What does it actually even mean? And how did I

0:38:49.200 --> 0:38:52.360
<v Speaker 1>bring this into the equation? So that motivation is what

0:38:52.520 --> 0:38:54.840
<v Speaker 1>kept IN going for the last ten years, though I

0:38:54.880 --> 0:38:57.360
<v Speaker 1>could not phrase it as such until I finished the

0:38:57.360 --> 0:39:01.040
<v Speaker 1>book and said I figured it out right. So now

0:39:01.080 --> 0:39:03.520
<v Speaker 1>I can actually go to that next kind of AI

0:39:03.800 --> 0:39:05.520
<v Speaker 1>that no one is thinking about, because it really is

0:39:05.520 --> 0:39:08.560
<v Speaker 1>obsessed with data as opposed to what we can have

0:39:08.600 --> 0:39:10.840
<v Speaker 1>computers do for us, which is what I really want.

0:39:11.120 --> 0:39:15.799
<v Speaker 1>So you you wrote that innovation has been commoditized. What

0:39:15.840 --> 0:39:17.719
<v Speaker 1>do you mean by that? I actually mean it in

0:39:17.719 --> 0:39:20.040
<v Speaker 1>a in a in a very good way. It's like

0:39:20.600 --> 0:39:24.560
<v Speaker 1>it's never been so easy for you to get another

0:39:24.640 --> 0:39:29.239
<v Speaker 1>kind of education altogether. You go online and you can

0:39:29.280 --> 0:39:33.040
<v Speaker 1>find information about whatever you want. You can build any

0:39:33.080 --> 0:39:35.640
<v Speaker 1>kind of contraption, you can put it to your service.

0:39:35.920 --> 0:39:38.640
<v Speaker 1>The science were done, what everybody else has experimented before.

0:39:38.880 --> 0:39:41.920
<v Speaker 1>This was not available when I was a student. Actually,

0:39:41.960 --> 0:39:43.560
<v Speaker 1>I was one of the first people to play with

0:39:43.560 --> 0:39:47.239
<v Speaker 1>the Internet when I was a student in Barcelona, and

0:39:48.360 --> 0:39:50.400
<v Speaker 1>this was not there. If it had been there, it

0:39:50.560 --> 0:39:54.680
<v Speaker 1>was fantastic. Why I go through all these degrees and

0:39:54.880 --> 0:39:58.319
<v Speaker 1>so what what I what I feel is like if

0:39:58.360 --> 0:40:02.680
<v Speaker 1>people understand how easy it is to put technology to

0:40:02.800 --> 0:40:05.080
<v Speaker 1>your service, which I hope I can get to do

0:40:05.120 --> 0:40:08.880
<v Speaker 1>eventually with this form of AI technic science and technology

0:40:09.200 --> 0:40:13.400
<v Speaker 1>more playable, then it's never been easier to just drive

0:40:13.440 --> 0:40:16.080
<v Speaker 1>your education based on the project you want to do today.

0:40:16.640 --> 0:40:18.520
<v Speaker 1>And if you actually understand how to scale things up,

0:40:18.560 --> 0:40:20.440
<v Speaker 1>you can actually make a living of it. And I

0:40:20.480 --> 0:40:23.480
<v Speaker 1>think it's a responsibility of all of us to take

0:40:23.520 --> 0:40:25.960
<v Speaker 1>advantage of the fact that innovation or the tools for

0:40:26.000 --> 0:40:28.839
<v Speaker 1>innovation have been so commoditized, to bring it to all

0:40:28.880 --> 0:40:32.520
<v Speaker 1>of America right and kind of erase the chasm that

0:40:32.560 --> 0:40:36.239
<v Speaker 1>exists there today. So let's talk about that scaling up.

0:40:36.840 --> 0:40:40.560
<v Speaker 1>Because you could solve a problem, but that doesn't mean

0:40:40.600 --> 0:40:44.200
<v Speaker 1>it's going to scale. How do you take a solution

0:40:44.280 --> 0:40:47.440
<v Speaker 1>to an issue and and make it scale. This may

0:40:47.480 --> 0:40:51.560
<v Speaker 1>not sound immediately intuitive because there is nothing intuitive about

0:40:51.640 --> 0:40:55.000
<v Speaker 1>scale app so ideas, per say, don't scale. What scales

0:40:55.080 --> 0:40:59.200
<v Speaker 1>up is organizations, organizations organizations, which is that you started

0:40:59.239 --> 0:41:01.719
<v Speaker 1>with five people and doing a few of those. And

0:41:01.760 --> 0:41:03.959
<v Speaker 1>it's not about how many you do. Is being able

0:41:04.000 --> 0:41:07.160
<v Speaker 1>to do the same for less money with more people

0:41:08.040 --> 0:41:10.839
<v Speaker 1>in some way. So you get to fifty people and

0:41:10.920 --> 0:41:13.560
<v Speaker 1>you have more products, but each of them cost you

0:41:13.640 --> 0:41:17.080
<v Speaker 1>less money. This should not be logical, right, doing more

0:41:17.080 --> 0:41:20.680
<v Speaker 1>products should cost you more money. So even though we've

0:41:20.680 --> 0:41:24.560
<v Speaker 1>gotten used to the idea that with volume comes shippening up,

0:41:24.760 --> 0:41:29.160
<v Speaker 1>you know, kind of scale, we call it that way,

0:41:29.200 --> 0:41:32.760
<v Speaker 1>but we don't really understand why. I'll tell you an example.

0:41:32.880 --> 0:41:37.360
<v Speaker 1>You make eight cookies, you make sixteen cookies, you're spending

0:41:37.360 --> 0:41:40.000
<v Speaker 1>more money. Actually, the only reason why you're not spending

0:41:40.080 --> 0:41:42.280
<v Speaker 1>much more money is because you're still using the same women.

0:41:43.320 --> 0:41:46.440
<v Speaker 1>So it's not necessarily intuitive about what it means to

0:41:46.440 --> 0:41:49.200
<v Speaker 1>actually scale things up. But what scales is the endeavor,

0:41:49.320 --> 0:41:51.719
<v Speaker 1>not the idea, And so what you need to do

0:41:51.920 --> 0:41:54.319
<v Speaker 1>is think about it the way astronauts go to the

0:41:54.360 --> 0:41:57.600
<v Speaker 1>moon or International Space Station, which is the only way

0:41:57.640 --> 0:41:59.960
<v Speaker 1>you can scale up is you catch. If you catch

0:42:00.000 --> 0:42:02.480
<v Speaker 1>everything that would look like a failure at the skate

0:42:02.520 --> 0:42:05.279
<v Speaker 1>at which is only an ever and so you don't fail,

0:42:06.040 --> 0:42:08.600
<v Speaker 1>So why do I bring astronauts? But that's what they do,

0:42:08.640 --> 0:42:11.080
<v Speaker 1>according to Chris Hadfield, as I explain in the book

0:42:11.120 --> 0:42:14.240
<v Speaker 1>and many others, they just go through every excruciating detail

0:42:14.280 --> 0:42:17.319
<v Speaker 1>about what will kill them right, and they plan for it.

0:42:17.400 --> 0:42:19.719
<v Speaker 1>They either suggest modifications to the engine, they come up

0:42:19.719 --> 0:42:22.160
<v Speaker 1>with protocols, They do something so that by the time

0:42:22.480 --> 0:42:25.000
<v Speaker 1>they bring their endeavor to scale, which is getting into

0:42:25.000 --> 0:42:28.560
<v Speaker 1>the International Space Station, they are prepared for whatever may happen,

0:42:28.760 --> 0:42:30.960
<v Speaker 1>so that if it all fails, it's because it was

0:42:31.040 --> 0:42:33.720
<v Speaker 1>not predictable. That's what it means to actually achieve scale.

0:42:33.800 --> 0:42:35.839
<v Speaker 1>And then it may well be that the problem your

0:42:35.920 --> 0:42:38.120
<v Speaker 1>targeting just lives at the small scale. That's fine. You

0:42:38.239 --> 0:42:41.960
<v Speaker 1>learn that through this process. You talk about leadership and innovation.

0:42:42.360 --> 0:42:45.200
<v Speaker 1>Why is it that we see a lot of people

0:42:45.239 --> 0:42:49.400
<v Speaker 1>who create ideas, who create haunches, who create concepts, aren't

0:42:49.440 --> 0:42:55.000
<v Speaker 1>always the best person to lead organizations to implement the

0:42:55.040 --> 0:42:59.400
<v Speaker 1>scaling of those ideas. And pick pick a company, be

0:42:59.560 --> 0:43:03.200
<v Speaker 1>it it could be Uber, it could be the Weinstein Company,

0:43:03.239 --> 0:43:06.320
<v Speaker 1>it doesn't matter. It seems that the people who create

0:43:06.960 --> 0:43:12.399
<v Speaker 1>or or crucial to help drive the idea, only take

0:43:12.440 --> 0:43:15.360
<v Speaker 1>it so far and there are better people to manage

0:43:15.360 --> 0:43:18.759
<v Speaker 1>those scaling businesses or or or Is that wrong? I

0:43:18.800 --> 0:43:22.520
<v Speaker 1>think it's neither right nor wrong. It's true for some people.

0:43:22.840 --> 0:43:25.480
<v Speaker 1>Steve Jobs was able to, Bill Gates was able to.

0:43:26.080 --> 0:43:28.640
<v Speaker 1>In the case of Uber, it didn't happen at least

0:43:28.640 --> 0:43:31.440
<v Speaker 1>now that we know, maybe you know it will happened

0:43:31.440 --> 0:43:34.520
<v Speaker 1>like with Steve Jobs and come back, come back in

0:43:34.560 --> 0:43:37.680
<v Speaker 1>the future. It's hard to make those general statements about people.

0:43:37.840 --> 0:43:39.840
<v Speaker 1>But it's also true that some people, and have plenty

0:43:39.880 --> 0:43:42.279
<v Speaker 1>of friends that have shared this with me, entrepreneurs that

0:43:42.880 --> 0:43:45.359
<v Speaker 1>that just like to build it and get it going

0:43:45.440 --> 0:43:48.080
<v Speaker 1>and bringing to a given skill and then they're better

0:43:48.120 --> 0:43:50.040
<v Speaker 1>after doing the next one than they are actually doing this,

0:43:50.080 --> 0:43:52.560
<v Speaker 1>And that's actually a career choice. But I also want

0:43:52.600 --> 0:43:55.400
<v Speaker 1>to distinguish I don't know who the innovator was in

0:43:55.440 --> 0:43:58.480
<v Speaker 1>the Uber story. We talked about the CEO, which may

0:43:58.520 --> 0:44:00.880
<v Speaker 1>be the entrepreneur, but was he the innovator he was

0:44:00.920 --> 0:44:03.680
<v Speaker 1>the founder, we don't know if he was. So it's

0:44:03.719 --> 0:44:07.320
<v Speaker 1>those two are necessarily always the same, right, And sometimes

0:44:07.320 --> 0:44:10.319
<v Speaker 1>I would say that in the case of many daring innovators.

0:44:11.120 --> 0:44:13.880
<v Speaker 1>They've actually started some and they've stayed. In some cases

0:44:13.880 --> 0:44:16.640
<v Speaker 1>they have actually gotten. Bosniak left Apple and he was

0:44:16.760 --> 0:44:20.480
<v Speaker 1>key to the innovations that god Apple started, as was

0:44:20.520 --> 0:44:22.880
<v Speaker 1>the Steve Jobs right. So I think it's more of

0:44:22.880 --> 0:44:26.120
<v Speaker 1>a personal choice and a career choice than it is

0:44:26.160 --> 0:44:30.200
<v Speaker 1>a rule. So there's a there's a general fear in

0:44:30.200 --> 0:44:35.520
<v Speaker 1>in the population about technology and that automation is taking

0:44:35.640 --> 0:44:38.359
<v Speaker 1>jobs away. I don't get the sense you look at

0:44:38.400 --> 0:44:42.359
<v Speaker 1>it quite that way. What do you think about big

0:44:42.440 --> 0:44:46.320
<v Speaker 1>data AI and what it means for the broader economy?

0:44:46.520 --> 0:44:51.719
<v Speaker 1>Is technology gonna turn us all into um unemployed or

0:44:51.840 --> 0:44:55.840
<v Speaker 1>is technology going to help us continue creating the next

0:44:55.840 --> 0:44:59.600
<v Speaker 1>generation of jobs. So on that when I'm rooting for

0:44:59.680 --> 0:45:03.839
<v Speaker 1>human so I think we're going to see amazing things

0:45:03.880 --> 0:45:07.759
<v Speaker 1>coming up. I would also like to bring up what

0:45:07.840 --> 0:45:11.520
<v Speaker 1>we actually call technology, because the definition the t at

0:45:11.600 --> 0:45:14.440
<v Speaker 1>M I T what God m I T started is

0:45:15.080 --> 0:45:18.920
<v Speaker 1>the idea of using science and knowledge to help humankind

0:45:19.360 --> 0:45:22.319
<v Speaker 1>reach further and gain control over nature. So if it

0:45:22.400 --> 0:45:24.960
<v Speaker 1>is not helping us, it's not technology at least according

0:45:25.000 --> 0:45:27.279
<v Speaker 1>to this definition. So the way I and many of

0:45:27.320 --> 0:45:30.560
<v Speaker 1>my friends think about technology and what I think it's

0:45:30.600 --> 0:45:32.880
<v Speaker 1>my next passion now is what we need to do

0:45:32.960 --> 0:45:35.000
<v Speaker 1>is make a better effort to bring this technology so

0:45:35.040 --> 0:45:37.360
<v Speaker 1>that more people can play with it and benefit from it.

0:45:37.400 --> 0:45:39.000
<v Speaker 1>And that needs to be done. It needs to be

0:45:39.000 --> 0:45:41.359
<v Speaker 1>brought to scale. I think we don't haven't done such

0:45:41.400 --> 0:45:44.400
<v Speaker 1>a great job at that for the last ten twenty years,

0:45:44.400 --> 0:45:47.359
<v Speaker 1>but we can. But I don't think that on its own,

0:45:47.560 --> 0:45:50.200
<v Speaker 1>big data or AI the way you see it implemented

0:45:50.239 --> 0:45:54.040
<v Speaker 1>today is going to do any of those things that

0:45:54.120 --> 0:45:58.799
<v Speaker 1>the fearmongers say are going to happen. So what does

0:45:58.840 --> 0:46:03.080
<v Speaker 1>it mean in terms of artificial intelligence? Can we really

0:46:03.120 --> 0:46:08.839
<v Speaker 1>help machines acquire intelligence in a human like fashion? If

0:46:08.840 --> 0:46:11.120
<v Speaker 1>you have to look out fifty or a hundred years,

0:46:11.840 --> 0:46:14.440
<v Speaker 1>what what are these machines going to look like. I'm

0:46:14.440 --> 0:46:18.600
<v Speaker 1>actually going to surprise you with this. The idea of

0:46:19.920 --> 0:46:24.960
<v Speaker 1>artificial general or generalized artificial intelligence was proposed at the

0:46:24.960 --> 0:46:28.520
<v Speaker 1>beginning of the field, and the presumption was that if

0:46:28.520 --> 0:46:32.160
<v Speaker 1>we ever got a computer to beat a human a

0:46:32.280 --> 0:46:35.600
<v Speaker 1>chance or strategy game would have achieved general I started

0:46:35.600 --> 0:46:39.000
<v Speaker 1>dificial intelligence because back then we thought that that was

0:46:39.600 --> 0:46:41.759
<v Speaker 1>super hard for a computer. And I guess what we

0:46:41.840 --> 0:46:46.120
<v Speaker 1>now know is that you didn't need artificial general generalized

0:46:46.160 --> 0:46:49.160
<v Speaker 1>division intelligence to that, even though the progress has been remarkable,

0:46:49.200 --> 0:46:52.080
<v Speaker 1>but it's only been machine learning. And it also means

0:46:52.120 --> 0:46:54.680
<v Speaker 1>that we're done in an odd way. We need a

0:46:54.680 --> 0:46:58.120
<v Speaker 1>new objective because the way we define that generalized started

0:46:58.120 --> 0:47:01.920
<v Speaker 1>difficial intelligence, which is the touring test and these problems

0:47:02.000 --> 0:47:04.440
<v Speaker 1>problems is gone. I mean, like we don't know what

0:47:04.440 --> 0:47:06.919
<v Speaker 1>we're doing anymore. So I would rather think of an

0:47:06.920 --> 0:47:09.640
<v Speaker 1>AI that actually helps us directly in the sense of

0:47:10.120 --> 0:47:12.240
<v Speaker 1>we need a new objective, and to me, the objective

0:47:12.360 --> 0:47:15.760
<v Speaker 1>is AI that helps us the way Jarvis helps Tony

0:47:15.760 --> 0:47:20.479
<v Speaker 1>Stark become a superhero iron Man. So in that movie

0:47:20.520 --> 0:47:23.239
<v Speaker 1>Iron Man, everybody talks about Tony Stark and whatever, but

0:47:23.320 --> 0:47:26.160
<v Speaker 1>the great, great, great tool is Jarvis, which is the

0:47:26.200 --> 0:47:29.960
<v Speaker 1>AI that powers the suit and helps Tony Stark build stuff. Now,

0:47:30.000 --> 0:47:32.839
<v Speaker 1>imagine you had some kind of a system that's way

0:47:32.840 --> 0:47:35.720
<v Speaker 1>more powerful than Google but still is helping new problem

0:47:35.719 --> 0:47:38.640
<v Speaker 1>to alve things so that you can accomplish something new.

0:47:38.719 --> 0:47:40.200
<v Speaker 1>That's what we need an I to do. At least

0:47:40.200 --> 0:47:43.000
<v Speaker 1>that's what I want an eye to do. So that

0:47:43.160 --> 0:47:47.960
<v Speaker 1>that's quite fascinating if, in other words, are our focus

0:47:48.040 --> 0:47:50.640
<v Speaker 1>is really on the wrong thing, and we should actually

0:47:51.200 --> 0:47:55.759
<v Speaker 1>be thinking about AI as a problem solving tool and

0:47:55.840 --> 0:47:58.719
<v Speaker 1>not a means in and of itself. Am I am

0:47:58.719 --> 0:48:01.439
<v Speaker 1>I getting that right? I think? So that's the way.

0:48:01.680 --> 0:48:03.920
<v Speaker 1>But by the way, that's actually much closer to the

0:48:03.920 --> 0:48:07.719
<v Speaker 1>way you are benefiting from AI today. So, with the

0:48:07.760 --> 0:48:11.920
<v Speaker 1>limited capabilities of Netflix in terms of intelligence as broadly understood,

0:48:12.520 --> 0:48:15.799
<v Speaker 1>you're benefiting from how Netflix collates what other people have

0:48:15.880 --> 0:48:18.359
<v Speaker 1>looked at without having watched a single one of those

0:48:18.400 --> 0:48:22.640
<v Speaker 1>movies Netflix itself, and you're getting new recommendations of movies.

0:48:23.000 --> 0:48:25.920
<v Speaker 1>The same for Google. You're actually accessing Google typing a

0:48:25.920 --> 0:48:28.040
<v Speaker 1>few keywords, and you're getting to see how other people

0:48:28.080 --> 0:48:31.680
<v Speaker 1>have sorted out the web. Right. So the way AI

0:48:31.719 --> 0:48:34.040
<v Speaker 1>has been helping us has already been that way, even

0:48:34.120 --> 0:48:36.840
<v Speaker 1>though it's limited, it's still only machine learning. One of

0:48:36.840 --> 0:48:39.839
<v Speaker 1>the questions that someone I mentioned somebody I was interviewing you,

0:48:40.000 --> 0:48:44.280
<v Speaker 1>and they said, ask him if innovation has become concentrated

0:48:44.640 --> 0:48:49.560
<v Speaker 1>in too few hands? Oh, I think money has become

0:48:49.600 --> 0:48:54.960
<v Speaker 1>concentrated into few hands. Uh, money in terms of capital

0:48:55.000 --> 0:48:59.279
<v Speaker 1>for technology or money generally or both money generally. And

0:48:59.320 --> 0:49:02.640
<v Speaker 1>what you see is that um, if you don't have

0:49:02.760 --> 0:49:05.760
<v Speaker 1>good ideas that you've actually kicked the tires for yourself

0:49:05.800 --> 0:49:08.440
<v Speaker 1>before going out for money. You're just going to be

0:49:08.480 --> 0:49:11.120
<v Speaker 1>subjected to how those people think about what innovation should

0:49:11.120 --> 0:49:13.080
<v Speaker 1>be right, and so you're going to go through a

0:49:13.120 --> 0:49:15.800
<v Speaker 1>path that may not be the best now because money

0:49:15.840 --> 0:49:20.080
<v Speaker 1>is more concentrated, either it being companies that are pushing

0:49:20.680 --> 0:49:23.480
<v Speaker 1>more research I would say, not so much innovation, or

0:49:24.040 --> 0:49:28.480
<v Speaker 1>in the hands of a few philanthropists. UM, you sort

0:49:28.480 --> 0:49:29.920
<v Speaker 1>of need to figure out a way to make a

0:49:30.000 --> 0:49:32.520
<v Speaker 1>case appealing that even though it may not match how

0:49:32.560 --> 0:49:34.960
<v Speaker 1>they think about innovation, they agree with you that the

0:49:35.000 --> 0:49:37.320
<v Speaker 1>problem can get solved. So if you do your homework,

0:49:37.680 --> 0:49:40.280
<v Speaker 1>it's okay. But I think the problem is that money

0:49:40.320 --> 0:49:43.080
<v Speaker 1>has gotten too concentrated in the hands and that may

0:49:43.120 --> 0:49:48.320
<v Speaker 1>create the perception that it's harder. So let's let me

0:49:48.480 --> 0:49:53.200
<v Speaker 1>pull an example out from the real world. UM. Google

0:49:53.440 --> 0:49:58.239
<v Speaker 1>very famously tells its engineers you could take of your

0:49:58.280 --> 0:50:01.880
<v Speaker 1>time one day a week and think about problems that

0:50:01.960 --> 0:50:04.760
<v Speaker 1>have nothing to do with the work you're you're doing.

0:50:05.440 --> 0:50:09.960
<v Speaker 1>Can you organize and structure a workforce to be innovative

0:50:09.960 --> 0:50:13.720
<v Speaker 1>that way? Or is are they just wasting time? What?

0:50:13.719 --> 0:50:19.799
<v Speaker 1>What does that directive from management actually end up accomplishing.

0:50:21.320 --> 0:50:23.160
<v Speaker 1>It boils down to what you asked them to present

0:50:23.200 --> 0:50:26.640
<v Speaker 1>at the end of those Uh, time is spent on

0:50:26.640 --> 0:50:30.080
<v Speaker 1>on ideas if they are just presenting ideas, I don't

0:50:30.080 --> 0:50:33.120
<v Speaker 1>think it's efficient. But you can actually guide that works

0:50:33.520 --> 0:50:38.560
<v Speaker 1>an entire workforce that actually to innovate continuously if you

0:50:38.680 --> 0:50:41.879
<v Speaker 1>place the interest in can you please tell me how

0:50:41.920 --> 0:50:44.200
<v Speaker 1>we will direct resources to prove this thing that you

0:50:44.280 --> 0:50:47.120
<v Speaker 1>have at the next scale. And that's actually a different

0:50:47.120 --> 0:50:48.759
<v Speaker 1>way to think about the innovation. We've actually done it

0:50:48.800 --> 0:50:51.120
<v Speaker 1>outside of m I T and proving it to myself

0:50:51.400 --> 0:50:55.000
<v Speaker 1>that you can truly get highly motivated people and prepare

0:50:55.040 --> 0:50:57.319
<v Speaker 1>them to do this and innovate continuously in this way

0:50:57.320 --> 0:51:00.359
<v Speaker 1>and create the organizations that work. Whenever we think of

0:51:00.600 --> 0:51:03.960
<v Speaker 1>innovative companies, the same couple of names seemed to come

0:51:04.040 --> 0:51:07.080
<v Speaker 1>up over and over again. I was struck not too

0:51:07.120 --> 0:51:11.279
<v Speaker 1>long ago when someone had asked Jeff Bezos about the

0:51:11.320 --> 0:51:16.200
<v Speaker 1>Amazon phone which failed, and instead of getting defensive about it,

0:51:16.520 --> 0:51:19.640
<v Speaker 1>he very much embraced it and said, we need more failures.

0:51:20.080 --> 0:51:24.400
<v Speaker 1>If we're not failing frequently, then we're not trying enough stuff.

0:51:24.440 --> 0:51:26.880
<v Speaker 1>We're playing it too safe. I want to see a

0:51:26.880 --> 0:51:30.160
<v Speaker 1>lot of things tried, and by definition a lot of

0:51:30.200 --> 0:51:34.440
<v Speaker 1>them are going to fail. I think that philosophies is

0:51:34.560 --> 0:51:39.520
<v Speaker 1>quite insightful. What companies or leaders do you look at

0:51:40.000 --> 0:51:44.480
<v Speaker 1>that you think understand innovation and know how to uh

0:51:44.680 --> 0:51:48.719
<v Speaker 1>solve problems using technology and are likely to be the

0:51:48.760 --> 0:51:54.000
<v Speaker 1>innovators of the future. Uh. It's always hard to know

0:51:54.040 --> 0:51:56.279
<v Speaker 1>exactly what's going on inside the company, right. We have

0:51:56.360 --> 0:51:59.920
<v Speaker 1>unusual visibility unsum and no no visibility thought or not,

0:52:00.200 --> 0:52:03.640
<v Speaker 1>so it's hard to make a blanket statement. The few

0:52:03.640 --> 0:52:07.279
<v Speaker 1>examples we know of our companies that are still starting

0:52:07.360 --> 0:52:10.240
<v Speaker 1>up and so they are not so good at keeping secrets,

0:52:10.760 --> 0:52:13.799
<v Speaker 1>and so you actually get to see more. So there's

0:52:13.840 --> 0:52:15.640
<v Speaker 1>a lot to like and not to like about how

0:52:15.680 --> 0:52:18.799
<v Speaker 1>things are developing from many I certainly love everything Jeff

0:52:18.840 --> 0:52:20.560
<v Speaker 1>Bezos does, and even though I will not use the

0:52:20.560 --> 0:52:23.600
<v Speaker 1>word failure because they kept moving, they just moved on,

0:52:24.560 --> 0:52:27.120
<v Speaker 1>I agree and sympathize with the idea of try, and

0:52:27.160 --> 0:52:29.520
<v Speaker 1>of course if everything works out, you're not trying hard enough,

0:52:29.760 --> 0:52:35.520
<v Speaker 1>right um so uh I am I admire the way

0:52:35.760 --> 0:52:39.800
<v Speaker 1>Elon Musk has gotten around to create the company he

0:52:39.880 --> 0:52:42.560
<v Speaker 1>has created, but I've actually developed the appreciation by reading

0:52:42.840 --> 0:52:47.520
<v Speaker 1>the biography more than what the news say about about him.

0:52:47.560 --> 0:52:50.120
<v Speaker 1>I am not particularly impressed by any web company that

0:52:50.160 --> 0:52:53.560
<v Speaker 1>we see nowadays, even though there is lots of incubators

0:52:53.600 --> 0:52:57.080
<v Speaker 1>and things out there. I actually feel that they've proven

0:52:57.160 --> 0:53:00.080
<v Speaker 1>kind of the opposite that if you just start with

0:53:00.160 --> 0:53:03.480
<v Speaker 1>have web idea, it takes very long, it is too costly,

0:53:04.360 --> 0:53:08.760
<v Speaker 1>and uh, no one makes a profit. So I'm actually

0:53:08.880 --> 0:53:10.480
<v Speaker 1>if at all they've proven that there is a way

0:53:10.520 --> 0:53:13.479
<v Speaker 1>to the web companies if everybody thinks they're easier and

0:53:14.160 --> 0:53:18.200
<v Speaker 1>only create perceived value but not real value. Well, Airbnb,

0:53:18.520 --> 0:53:20.919
<v Speaker 1>I guess you can hold out an app company like Uber.

0:53:21.040 --> 0:53:24.480
<v Speaker 1>What about Netflix, they pretty much exist. Well, Netflix is

0:53:24.480 --> 0:53:28.120
<v Speaker 1>from a different breed, right of companies. They started physical right,

0:53:28.200 --> 0:53:31.360
<v Speaker 1>so sending DVDs, sending DVDs and which, if we remember

0:53:31.480 --> 0:53:36.120
<v Speaker 1>the idea, sounded ridiculous. It sounded completely ridiculous at first. Actually, Netflix,

0:53:36.120 --> 0:53:37.640
<v Speaker 1>which I talk about in the book, is a great

0:53:37.640 --> 0:53:40.359
<v Speaker 1>example because they too have been exposed in the press,

0:53:40.360 --> 0:53:42.759
<v Speaker 1>and every four years someone says they're ridiculous and they're wrong,

0:53:43.120 --> 0:53:44.920
<v Speaker 1>and then it four years later it turns out they

0:53:44.920 --> 0:53:47.480
<v Speaker 1>weren't so that's why the mechanic is so great. But

0:53:47.560 --> 0:53:49.720
<v Speaker 1>Netflix also shows you the idea that there's a difference

0:53:49.719 --> 0:53:51.840
<v Speaker 1>between coming up with an app and just counting users

0:53:52.640 --> 0:53:56.160
<v Speaker 1>and actually scaling up a company. The way Netflix gets

0:53:56.200 --> 0:53:58.480
<v Speaker 1>to where it is today is by actually becoming various

0:53:58.520 --> 0:54:00.640
<v Speaker 1>different companies on the way. When you look at what

0:54:00.680 --> 0:54:03.440
<v Speaker 1>they actually do today, they produce movies, right, and the

0:54:03.520 --> 0:54:05.560
<v Speaker 1>day they sold DVDs, actually they rented div so they

0:54:05.640 --> 0:54:09.880
<v Speaker 1>went from DVD rental to content streaming to content manufact

0:54:09.960 --> 0:54:11.480
<v Speaker 1>and some things are kept along the way. So in

0:54:11.520 --> 0:54:13.840
<v Speaker 1>their case, it's a very clever use of machine learning

0:54:13.840 --> 0:54:16.080
<v Speaker 1>that's kept along the way and allows them to think

0:54:16.080 --> 0:54:18.719
<v Speaker 1>about the next scale up, and that's the piece they

0:54:18.800 --> 0:54:21.279
<v Speaker 1>keep on growing. So they are building a very incredible

0:54:21.600 --> 0:54:25.359
<v Speaker 1>capability that gets to be incredibly versatile. It's like the

0:54:25.400 --> 0:54:29.520
<v Speaker 1>perfect example of proper financial wisdom, which is, you know,

0:54:29.800 --> 0:54:32.400
<v Speaker 1>you want to diversify in the face of uncertainty, You

0:54:32.400 --> 0:54:35.040
<v Speaker 1>want to actually diversify and not do the opposite, which

0:54:35.040 --> 0:54:37.600
<v Speaker 1>is focus just on one idea and spend all your

0:54:37.600 --> 0:54:42.719
<v Speaker 1>money in it. That sounds financially wrong advice, and so uh,

0:54:42.760 --> 0:54:44.880
<v Speaker 1>there's companies like that that are incredibly nov that if that,

0:54:44.920 --> 0:54:47.960
<v Speaker 1>we just don't know what they're doing. Apple, for instance,

0:54:48.080 --> 0:54:51.200
<v Speaker 1>is what is the prototypical example. The typical question is

0:54:51.600 --> 0:54:54.279
<v Speaker 1>with Steve Jobs, are they still innovative or not? I

0:54:54.320 --> 0:54:56.560
<v Speaker 1>don't know the answer to that. But in the meantime,

0:54:56.560 --> 0:54:59.640
<v Speaker 1>while we're not looking, they became a services company, right,

0:55:00.040 --> 0:55:02.640
<v Speaker 1>so they keep on reinventing themselves. So rather than looking

0:55:02.640 --> 0:55:05.840
<v Speaker 1>at who tries and fails a lot, which implies a

0:55:05.880 --> 0:55:08.680
<v Speaker 1>degree of visibility onto their process that we may not have,

0:55:09.280 --> 0:55:13.120
<v Speaker 1>just look at how subtly they actually change the company

0:55:13.160 --> 0:55:15.239
<v Speaker 1>they are. And every time you look at it, it

0:55:15.239 --> 0:55:18.840
<v Speaker 1>seems like perfectly incremental. And yet it's completely different Amazon

0:55:18.960 --> 0:55:22.240
<v Speaker 1>the Everything store than producing movies the elastic cloud along

0:55:22.239 --> 0:55:25.440
<v Speaker 1>the way. Uh, they use what they have to change

0:55:25.480 --> 0:55:28.600
<v Speaker 1>who they are and we may not see how they

0:55:28.640 --> 0:55:31.319
<v Speaker 1>do it, but that's what happens every single time. So

0:55:31.400 --> 0:55:35.560
<v Speaker 1>what about Facebook, which is a web or I guess

0:55:35.600 --> 0:55:37.640
<v Speaker 1>you could go on an app company, but it's certainly

0:55:37.680 --> 0:55:41.880
<v Speaker 1>an internet company. Um, and they have a bunch of

0:55:41.880 --> 0:55:46.080
<v Speaker 1>other properties like Instagram and go down the list of

0:55:46.120 --> 0:55:49.680
<v Speaker 1>things that they've purchased. Or are they a company that's

0:55:49.680 --> 0:55:53.680
<v Speaker 1>innovative or they is social? Their only thing and and

0:55:53.760 --> 0:55:56.759
<v Speaker 1>that's going to be Um. They'll either live or die

0:55:56.840 --> 0:56:00.160
<v Speaker 1>on how popular social networks are. I've got I mean,

0:56:00.239 --> 0:56:03.480
<v Speaker 1>I have to confess that when it comes to companies

0:56:03.480 --> 0:56:08.160
<v Speaker 1>that are just purely social, I have a hard time understanding,

0:56:09.480 --> 0:56:14.160
<v Speaker 1>ah why they have any competitive advantage, also whatsoever acceptive

0:56:14.160 --> 0:56:16.680
<v Speaker 1>where they are already, which means that if someone else

0:56:16.719 --> 0:56:19.560
<v Speaker 1>comes around with something that's fundamentally different, it might be

0:56:19.600 --> 0:56:23.080
<v Speaker 1>wiped out. But that's my own shortcoming. It's other shortcoming

0:56:23.120 --> 0:56:27.279
<v Speaker 1>of Facebook. Uh uh. In the case of Facebook, I

0:56:27.400 --> 0:56:30.359
<v Speaker 1>see lots of ideas, they see lots of chaos in

0:56:30.640 --> 0:56:34.120
<v Speaker 1>many ideas, many companies, a use of machine learning for

0:56:34.239 --> 0:56:38.200
<v Speaker 1>many things. But I also see mostly an advertising company

0:56:38.920 --> 0:56:42.240
<v Speaker 1>right in everything they do, much to some degree like Google,

0:56:42.280 --> 0:56:44.640
<v Speaker 1>though Google has tried more actively to branch out from that.

0:56:45.440 --> 0:56:48.839
<v Speaker 1>So how long can we withstand that? You know, if

0:56:48.840 --> 0:56:51.160
<v Speaker 1>you were in in in business school ten years ago,

0:56:51.719 --> 0:56:53.360
<v Speaker 1>they would have told you that the secret of Google

0:56:53.480 --> 0:56:56.320
<v Speaker 1>was that they ended the banner tyranny of the Internet.

0:56:56.719 --> 0:56:59.560
<v Speaker 1>You should remember that in the nineties Internet was just

0:56:59.640 --> 0:57:03.759
<v Speaker 1>mostly ad banners and eventually some content. Now look at

0:57:03.760 --> 0:57:06.960
<v Speaker 1>the Internet today, it's exactly the same as it was

0:57:08.320 --> 0:57:10.600
<v Speaker 1>a bunch of ads over there of stuff that most

0:57:10.600 --> 0:57:13.120
<v Speaker 1>likely you bought already, and that's why how they know

0:57:13.200 --> 0:57:15.960
<v Speaker 1>you like it, and so they advertise it again. So

0:57:16.200 --> 0:57:18.120
<v Speaker 1>we're getting I believe we're getting to the same point.

0:57:18.200 --> 0:57:20.280
<v Speaker 1>Maybe I'm wrong, which, as you know, I don't care

0:57:20.880 --> 0:57:23.560
<v Speaker 1>much about. But so when I look at these companies,

0:57:23.760 --> 0:57:29.320
<v Speaker 1>I just don't know how to assess what they're doing.

0:57:29.400 --> 0:57:30.760
<v Speaker 1>And this is not to say that they are not

0:57:30.800 --> 0:57:34.200
<v Speaker 1>doing great things. Maybe tomorrow Facebook will make an announcement

0:57:34.440 --> 0:57:36.400
<v Speaker 1>and I'll say, oh, look, I was wrong in Bloomberg,

0:57:37.640 --> 0:57:41.200
<v Speaker 1>and I'll move on right. So you keep coming back

0:57:41.240 --> 0:57:45.000
<v Speaker 1>to the idea of not caring about being wrong. And

0:57:45.240 --> 0:57:48.320
<v Speaker 1>before I get to my my favorite standard questions I

0:57:48.360 --> 0:57:50.960
<v Speaker 1>ask all our guests, I have to ask you one

0:57:50.960 --> 0:57:55.120
<v Speaker 1>more question about that. Most people have so much ego

0:57:55.160 --> 0:58:01.960
<v Speaker 1>tied up in being right it prevents them from um

0:58:02.000 --> 0:58:05.080
<v Speaker 1>either admitting error or trying things that have a low

0:58:05.120 --> 0:58:08.840
<v Speaker 1>probability of success, or just you mentioned earlier, you're just

0:58:08.920 --> 0:58:12.560
<v Speaker 1>playing and seeing what happens. How did you evolve to

0:58:12.640 --> 0:58:17.280
<v Speaker 1>the point where you became very comfortable with I know

0:58:17.360 --> 0:58:20.480
<v Speaker 1>failure is a loaded word, but being wrong, trying things out,

0:58:20.600 --> 0:58:23.520
<v Speaker 1>moving on? I don't want to claim massive insight or

0:58:23.680 --> 0:58:27.120
<v Speaker 1>foresight on the matter. So part of me I'm just

0:58:27.600 --> 0:58:30.360
<v Speaker 1>I wasn't aware that I was supposed to not care.

0:58:30.400 --> 0:58:32.280
<v Speaker 1>I mean, part of it was just I don't know

0:58:32.360 --> 0:58:35.840
<v Speaker 1>something about my upbringing that that and then seriously, if

0:58:35.920 --> 0:58:39.840
<v Speaker 1>I don't get to know every three days, uh, it's

0:58:39.840 --> 0:58:43.400
<v Speaker 1>not my life. I've been told no about the craziestuff

0:58:43.400 --> 0:58:47.040
<v Speaker 1>I proposed to do or literally every three days. Some

0:58:47.120 --> 0:58:49.200
<v Speaker 1>of it is crazy, some of it I was right.

0:58:49.840 --> 0:58:52.960
<v Speaker 1>But even super dear mentors that they take in high

0:58:53.000 --> 0:58:55.600
<v Speaker 1>steam have told me time and again, what are you doing?

0:58:55.640 --> 0:58:57.440
<v Speaker 1>This is not the normal path? And I tell them

0:58:57.680 --> 0:59:00.600
<v Speaker 1>I just don't understand really the normal path. The fact

0:59:00.600 --> 0:59:03.480
<v Speaker 1>that it's normal doesn't make it logical to me. So

0:59:04.080 --> 0:59:08.160
<v Speaker 1>call it that my head is wired the opposite directions

0:59:08.160 --> 0:59:10.440
<v Speaker 1>because I'm dyslexic and so certain things that seem obvious

0:59:10.480 --> 0:59:12.680
<v Speaker 1>to other people are not obvious to me. But I

0:59:12.720 --> 0:59:14.960
<v Speaker 1>don't claim to know to have a secret that all

0:59:14.960 --> 0:59:18.520
<v Speaker 1>of a sudden I got inspired. Maybe it was just

0:59:18.600 --> 0:59:20.800
<v Speaker 1>wrong one too many times to realize that it's not

0:59:20.840 --> 0:59:24.160
<v Speaker 1>that bad. But you don't take no as I think

0:59:24.200 --> 0:59:28.360
<v Speaker 1>most people's intended intention. When someone says no to you.

0:59:28.440 --> 0:59:31.480
<v Speaker 1>It's almost the challenge. Yeah, what I what I tell

0:59:31.520 --> 0:59:33.960
<v Speaker 1>you my class two students is that as long as

0:59:33.960 --> 0:59:36.920
<v Speaker 1>no one is hurt, and that's very important, you should

0:59:36.920 --> 0:59:39.440
<v Speaker 1>not take the first note for a note, right. And

0:59:39.480 --> 0:59:44.280
<v Speaker 1>that doesn't apply to relationships, right, it disapplies you're talking technology, abology, business.

0:59:44.840 --> 0:59:46.520
<v Speaker 1>You should not take the first note for an answer

0:59:46.520 --> 0:59:49.240
<v Speaker 1>because sometimes people need a second chance to think it through.

0:59:49.800 --> 0:59:54.640
<v Speaker 1>And so maybe two right is a good good starting

0:59:54.680 --> 0:59:57.000
<v Speaker 1>point to get yourself trained. And then I develop all

0:59:57.040 --> 1:00:01.920
<v Speaker 1>these funny games. I I call him credit Kid carate

1:00:02.320 --> 1:00:05.439
<v Speaker 1>kid tasks for the movie. You probably remember the first

1:00:05.480 --> 1:00:08.320
<v Speaker 1>Credate Kid movie in which there was walks on, walks

1:00:08.360 --> 1:00:12.280
<v Speaker 1>off that stuff, and he the kid learned karate by

1:00:12.360 --> 1:00:15.680
<v Speaker 1>actually kind of waxing cars and painting fences. So I

1:00:15.800 --> 1:00:19.320
<v Speaker 1>developed a few create kid tasks to kind of train

1:00:19.400 --> 1:00:21.760
<v Speaker 1>them to be around. One of them, I asked them

1:00:21.760 --> 1:00:26.200
<v Speaker 1>to just call a pizza um, and I mean some

1:00:26.520 --> 1:00:31.320
<v Speaker 1>pizzeria and ask for a doctor's appointment. Uh. Of course

1:00:31.640 --> 1:00:33.640
<v Speaker 1>they think it's going to be embarrassing, but it's just

1:00:33.760 --> 1:00:37.560
<v Speaker 1>a phone call, right, and uh, and then once they

1:00:37.600 --> 1:00:40.880
<v Speaker 1>do it, you don't know who's more surprised if the

1:00:40.920 --> 1:00:43.440
<v Speaker 1>person who called or the person who receives the call, right.

1:00:43.480 --> 1:00:45.320
<v Speaker 1>I asked them to please not have used the pizzeria

1:00:45.480 --> 1:00:47.560
<v Speaker 1>just to try it once, but to get the feeling

1:00:47.560 --> 1:00:51.360
<v Speaker 1>of put themselves in in the shoes of that extress

1:00:51.400 --> 1:00:54.560
<v Speaker 1>moment and realize it's not that bad. Right. And once

1:00:54.600 --> 1:00:57.760
<v Speaker 1>you realize that, and you train yourself to these tiny mistakes,

1:00:57.760 --> 1:01:00.919
<v Speaker 1>they call them near missus. If you want, uh, then

1:01:01.000 --> 1:01:02.840
<v Speaker 1>you get a whole different sense of what the actually

1:01:02.840 --> 1:01:05.600
<v Speaker 1>means to be wrong. It's the example I gave you earlier.

1:01:06.400 --> 1:01:08.320
<v Speaker 1>If the violin is out of tune, it kind of

1:01:08.360 --> 1:01:11.160
<v Speaker 1>still sounds Okay, it's not as great, right, But it's not.

1:01:11.560 --> 1:01:13.400
<v Speaker 1>It needs to be really bad, bad, bad for you

1:01:13.440 --> 1:01:15.880
<v Speaker 1>not to even recognize the song, and after a while,

1:01:16.040 --> 1:01:19.560
<v Speaker 1>that helps you play better. So let me jump to

1:01:19.760 --> 1:01:22.680
<v Speaker 1>my favorite questions. These are the ones I ask all

1:01:22.760 --> 1:01:26.720
<v Speaker 1>my guests, UM, tell us the most important thing that

1:01:26.800 --> 1:01:33.640
<v Speaker 1>people don't know about your background? Uh? How do people

1:01:33.680 --> 1:01:36.640
<v Speaker 1>normally answer to that question? Well, usually it's some little

1:01:36.640 --> 1:01:40.480
<v Speaker 1>tidbit that people um that is surprising. But you have

1:01:40.560 --> 1:01:43.600
<v Speaker 1>a lot of interesting, surprising things in your background already.

1:01:43.920 --> 1:01:48.000
<v Speaker 1>So I learned the program by accident. My mom had

1:01:48.040 --> 1:01:51.080
<v Speaker 1>taken a class in a computer science because it wasn't

1:01:51.280 --> 1:01:53.640
<v Speaker 1>and she went next door and took a class and

1:01:53.720 --> 1:01:57.040
<v Speaker 1>we had the K computer and she told me, look,

1:01:57.080 --> 1:01:59.880
<v Speaker 1>they've given me the master remind her game only that

1:02:00.080 --> 1:02:02.120
<v Speaker 1>needs to be called in the computer. So the first

1:02:02.160 --> 1:02:04.280
<v Speaker 1>time she wrote it in the computer for me, and

1:02:05.200 --> 1:02:07.720
<v Speaker 1>I played, but it was one of those computers like

1:02:07.800 --> 1:02:11.080
<v Speaker 1>really old, like you could not say so every time

1:02:11.120 --> 1:02:12.840
<v Speaker 1>you want to play, you have to red to re

1:02:12.920 --> 1:02:17.760
<v Speaker 1>write it. And so I wrote it and then wrote

1:02:17.760 --> 1:02:20.120
<v Speaker 1>it again, and then wrote again and modified it so

1:02:20.160 --> 1:02:23.480
<v Speaker 1>I could win always then and before you know it,

1:02:23.520 --> 1:02:25.360
<v Speaker 1>I actually knew how to cod it. Basically, I was

1:02:25.400 --> 1:02:28.280
<v Speaker 1>eight years old, mostly because I just wanted to play

1:02:28.520 --> 1:02:32.800
<v Speaker 1>um Mastermind. And that has defined the way I think

1:02:32.800 --> 1:02:34.840
<v Speaker 1>about AI and everything I've told you before in ways

1:02:34.880 --> 1:02:37.840
<v Speaker 1>that keep on coming back to my head. The ability

1:02:37.880 --> 1:02:43.080
<v Speaker 1>to play make things that seem complicated playable changes how

1:02:43.120 --> 1:02:45.760
<v Speaker 1>we actually approached them. And that's define why I keep

1:02:45.760 --> 1:02:50.000
<v Speaker 1>on jumping through field seemingly in a way that's quite fasting.

1:02:50.160 --> 1:02:54.280
<v Speaker 1>Tell us about some of your early mentors. Hard to say.

1:02:55.480 --> 1:02:57.440
<v Speaker 1>I've been through so many countries and I've met so

1:02:57.440 --> 1:03:03.480
<v Speaker 1>many interesting people, and uh that it's it's hard for

1:03:03.520 --> 1:03:05.840
<v Speaker 1>me to say it. Clearly the person and M I

1:03:05.920 --> 1:03:10.840
<v Speaker 1>T who who you had a long email relationship before

1:03:10.880 --> 1:03:14.320
<v Speaker 1>you has to be a significant mentor. He's a significant mentor.

1:03:14.360 --> 1:03:17.040
<v Speaker 1>We haven't spoken in a few years now because directions

1:03:17.040 --> 1:03:22.280
<v Speaker 1>takes different ways. Ah, but that's much later in life, right, So, uh,

1:03:22.360 --> 1:03:25.600
<v Speaker 1>he was certainly a great mentor. More recently, what was

1:03:25.640 --> 1:03:30.720
<v Speaker 1>his name, Tomaso Poggio Um, he's still a professor at

1:03:30.800 --> 1:03:35.000
<v Speaker 1>m I t UM. The recently Charlie Cuney has been

1:03:35.000 --> 1:03:37.080
<v Speaker 1>a great mentor because he sort of told me I

1:03:37.120 --> 1:03:38.959
<v Speaker 1>think you have a book in your hands when I

1:03:39.000 --> 1:03:42.480
<v Speaker 1>wasn't even thinking about it, and I guess I did. Uh.

1:03:42.800 --> 1:03:45.760
<v Speaker 1>And even earlier a lot of family friends essentially a

1:03:45.760 --> 1:03:48.080
<v Speaker 1>family the friend of my family was quoting earlier that

1:03:49.400 --> 1:03:50.640
<v Speaker 1>I was talking to me and said, what are you

1:03:50.680 --> 1:03:51.880
<v Speaker 1>going to do? The next time, I said, I don't

1:03:51.920 --> 1:03:54.920
<v Speaker 1>really know. I haven't learned enough to what I want

1:03:54.920 --> 1:03:57.000
<v Speaker 1>to accomplish. And he said, you you you don't know

1:03:57.040 --> 1:03:58.560
<v Speaker 1>what you're doing. You need to leave this country and

1:03:58.560 --> 1:04:01.120
<v Speaker 1>go to the United States. And said, okay, So I

1:04:01.160 --> 1:04:05.400
<v Speaker 1>guess he's had me in this path So who um

1:04:05.440 --> 1:04:10.520
<v Speaker 1>in the worlds of innovation? Who influenced your thinking? What philosopher,

1:04:10.680 --> 1:04:17.120
<v Speaker 1>thinker technologists affected in a fundamental way your thoughts on innovation?

1:04:19.040 --> 1:04:24.960
<v Speaker 1>Many I'll give you two. One is Thomas kun Um,

1:04:25.000 --> 1:04:27.160
<v Speaker 1>which is very known in the United States and hardly

1:04:27.200 --> 1:04:30.800
<v Speaker 1>known in Europe. Surprisingly, in Europe people talk about paper,

1:04:30.840 --> 1:04:35.080
<v Speaker 1>which is the competing school of thought. Uh. I think

1:04:35.080 --> 1:04:37.480
<v Speaker 1>Thomas kun explains the scientific method in a way that

1:04:37.560 --> 1:04:41.640
<v Speaker 1>resonates with me. And Papa doesn't Um what is that?

1:04:42.640 --> 1:04:47.680
<v Speaker 1>Papa is formulaic and uh And Quen essentially admits one

1:04:47.720 --> 1:04:50.600
<v Speaker 1>thing that I've come to come believe as a mantra,

1:04:50.720 --> 1:04:54.400
<v Speaker 1>which is that the beginning of any new theories fundamentally

1:04:55.120 --> 1:04:59.760
<v Speaker 1>ill conceived, h mostly wrong by any traditional standard, barely

1:04:59.760 --> 1:05:02.600
<v Speaker 1>work works, and yet somehow it becomes a standard afterwards.

1:05:03.240 --> 1:05:06.840
<v Speaker 1>And that beginning starts with people putting together what seems preposterous,

1:05:07.080 --> 1:05:09.360
<v Speaker 1>mostly because they have a hunch that something isn't working.

1:05:09.840 --> 1:05:12.520
<v Speaker 1>I'm putting my own words on Kim, right, So so

1:05:12.720 --> 1:05:15.160
<v Speaker 1>don't Qun doesn't use tounch and I'm not sure he

1:05:15.160 --> 1:05:18.160
<v Speaker 1>would agree with the way I interpret his writings. And

1:05:18.200 --> 1:05:20.240
<v Speaker 1>I think it's a real hard read a book to

1:05:20.280 --> 1:05:22.440
<v Speaker 1>read it took me. I read it at first, at

1:05:22.480 --> 1:05:26.160
<v Speaker 1>the age of twenty three, I didn't understand it. I

1:05:26.200 --> 1:05:28.120
<v Speaker 1>only understood it at the age of twenty nine when

1:05:28.160 --> 1:05:30.280
<v Speaker 1>I read it again. And by the way, that's because

1:05:30.280 --> 1:05:32.920
<v Speaker 1>your brain keeps are involving, so you're not it's not

1:05:33.000 --> 1:05:35.640
<v Speaker 1>fully matured and able to understand every single thing until

1:05:35.680 --> 1:05:38.840
<v Speaker 1>you're close to twenty nine by some of the latest research.

1:05:39.680 --> 1:05:42.080
<v Speaker 1>The other thing that actually influenced me is that the

1:05:42.120 --> 1:05:45.600
<v Speaker 1>opposite extreme. I've had this question in my head about

1:05:46.360 --> 1:05:51.440
<v Speaker 1>why does Warren Buffett. Why does Warren Buffett not invest

1:05:51.720 --> 1:05:55.760
<v Speaker 1>in innovation? Not technology startups, but innovation? You know it

1:05:55.880 --> 1:05:58.080
<v Speaker 1>should he should mean, I'm not, you know, I'm not

1:05:58.200 --> 1:05:59.840
<v Speaker 1>want to say what he should do with his money,

1:06:00.280 --> 1:06:03.920
<v Speaker 1>but it's a fascinating question. It's a seems like a

1:06:03.920 --> 1:06:06.720
<v Speaker 1>bit of a dichonomy, right, but he invested in long

1:06:06.840 --> 1:06:12.760
<v Speaker 1>term only for value creation, and he also does philanthropy right,

1:06:13.200 --> 1:06:15.840
<v Speaker 1>and innovation is all about removing obstacles to progress in

1:06:15.880 --> 1:06:18.240
<v Speaker 1>the long term that I actually create benefits from society

1:06:18.320 --> 1:06:21.600
<v Speaker 1>and value. So it's like he should be investing in that,

1:06:22.440 --> 1:06:24.640
<v Speaker 1>and yet he doesn't. I'm not I don't think he should.

1:06:25.040 --> 1:06:27.680
<v Speaker 1>But trying to answer this question has cost me to

1:06:27.960 --> 1:06:30.960
<v Speaker 1>think about more carefully about what innovation actually is and

1:06:31.000 --> 1:06:33.400
<v Speaker 1>how it is different from just creating a company or

1:06:33.440 --> 1:06:36.880
<v Speaker 1>doing a startup. It's much more ambitious. So you mentioned

1:06:37.000 --> 1:06:40.440
<v Speaker 1>qun tell Us about some of your favorite books, so

1:06:40.960 --> 1:06:44.200
<v Speaker 1>those change all the time. But the latest breed is

1:06:44.880 --> 1:06:46.920
<v Speaker 1>The Hitchhiker's Guide to the Galaxy, which I keep I'm

1:06:46.920 --> 1:06:52.680
<v Speaker 1>coming back to, and and the reason I love it

1:06:52.720 --> 1:06:55.800
<v Speaker 1>is just it's just absurd in such a profoundly logical

1:06:55.840 --> 1:07:01.000
<v Speaker 1>way that it's just hilarious. Another a book that I

1:07:01.320 --> 1:07:04.520
<v Speaker 1>devoured was The Martian two years ago when I first

1:07:04.520 --> 1:07:08.280
<v Speaker 1>got it, and I've still read it again because it

1:07:08.560 --> 1:07:12.680
<v Speaker 1>is the way science really is, not the way it

1:07:12.800 --> 1:07:14.959
<v Speaker 1>is being taught. It's not about the model. It's about

1:07:15.040 --> 1:07:18.320
<v Speaker 1>using nature to help you. And that book, every page

1:07:18.600 --> 1:07:21.680
<v Speaker 1>is literally a person trying to survive making science and

1:07:21.760 --> 1:07:26.480
<v Speaker 1>nature work for him. Right. It's a series of problem solving,

1:07:26.680 --> 1:07:30.760
<v Speaker 1>problem solving, no solution real and and and lots of

1:07:30.800 --> 1:07:33.200
<v Speaker 1>what you might call failures. But really, if he failed,

1:07:33.200 --> 1:07:36.560
<v Speaker 1>he died, right, So that was not an option. And

1:07:36.560 --> 1:07:38.560
<v Speaker 1>and the mechanic of the book, the richness of it.

1:07:38.600 --> 1:07:40.680
<v Speaker 1>Even if you don't fully understand the technology, you can

1:07:40.800 --> 1:07:44.560
<v Speaker 1>tell the story. It's enormously vibrant. And the last book

1:07:44.560 --> 1:07:46.200
<v Speaker 1>I keep on coming back to every now and then

1:07:46.320 --> 1:07:49.400
<v Speaker 1>is what if? From random unders sure and you can

1:07:49.440 --> 1:07:52.200
<v Speaker 1>tell the trend right it's I'm techie. I love sci fi,

1:07:53.000 --> 1:07:55.080
<v Speaker 1>uh because I want to create the sci fi so

1:07:55.160 --> 1:07:58.960
<v Speaker 1>it becomes real and but just a touch of absurdly.

1:07:59.040 --> 1:08:01.520
<v Speaker 1>And it needs be absurd because otherwise you cannot get

1:08:01.520 --> 1:08:04.040
<v Speaker 1>good ideas. They need to look absurd at first, not

1:08:04.240 --> 1:08:08.120
<v Speaker 1>because just because and this is something I realized over

1:08:08.160 --> 1:08:11.480
<v Speaker 1>over time, ideas look absurd because of your training. They

1:08:11.480 --> 1:08:14.040
<v Speaker 1>were not absurd per se. So if your background taught

1:08:14.080 --> 1:08:17.280
<v Speaker 1>you to ignore certain things and assume certain things, anything

1:08:17.360 --> 1:08:20.479
<v Speaker 1>that challenges that will look absurd only until you show

1:08:20.520 --> 1:08:25.599
<v Speaker 1>it works. So, since you came into the fields of

1:08:25.640 --> 1:08:30.840
<v Speaker 1>filling the blank artificial intelligence innovation some years ago, what

1:08:31.040 --> 1:08:33.839
<v Speaker 1>has changed? And is for the better or for the worst.

1:08:35.360 --> 1:08:39.120
<v Speaker 1>Many things have changed. I'll give you one for the

1:08:39.120 --> 1:08:44.439
<v Speaker 1>better and one for the worst. We've become way more siloed. Siloed, yes,

1:08:44.479 --> 1:08:48.559
<v Speaker 1>and that creates enormous amount of inefficiencies in medication, in

1:08:48.560 --> 1:08:54.439
<v Speaker 1>investing in innovation that I myself avoid with IT teams,

1:08:54.479 --> 1:09:00.000
<v Speaker 1>which is crossed disciplinary across the entire institute. Um, that's

1:08:59.800 --> 1:09:02.680
<v Speaker 1>that's something that I believe it's going to change. At

1:09:02.680 --> 1:09:05.200
<v Speaker 1>the same time, the opposite has also become true. You

1:09:05.200 --> 1:09:08.559
<v Speaker 1>could indicate yourself on whatever online if only you had

1:09:08.560 --> 1:09:10.560
<v Speaker 1>a project or a means to guide you with a

1:09:10.680 --> 1:09:13.280
<v Speaker 1>project to acquire that knowledge, which is the reason why

1:09:13.320 --> 1:09:15.880
<v Speaker 1>I wrote the book to start with. And so those

1:09:15.880 --> 1:09:19.920
<v Speaker 1>two things have happened. One people more siloed and more formulate.

1:09:20.800 --> 1:09:23.200
<v Speaker 1>More students asked me today for formulas for innovation, and

1:09:23.240 --> 1:09:25.479
<v Speaker 1>they did ten years ago, which makes no sense because

1:09:25.479 --> 1:09:27.360
<v Speaker 1>if there is a formula, there is a recipe, it's

1:09:27.520 --> 1:09:29.519
<v Speaker 1>then you're just going to bake the same cake someone day.

1:09:29.680 --> 1:09:32.040
<v Speaker 1>How is that an innovation? It's a great copy by

1:09:32.080 --> 1:09:36.240
<v Speaker 1>all means, eat the cake, But um, it's not an innovation,

1:09:36.520 --> 1:09:40.479
<v Speaker 1>right so Um. But then on the other side, more

1:09:40.520 --> 1:09:43.639
<v Speaker 1>and more people I believe can actually start to learn

1:09:43.680 --> 1:09:46.639
<v Speaker 1>on their own and ignore recipes or said models because

1:09:46.680 --> 1:09:48.880
<v Speaker 1>there is such an abundance of information that wasn't there

1:09:49.120 --> 1:09:52.200
<v Speaker 1>ten years ago. And AI is only making that or

1:09:52.280 --> 1:09:54.800
<v Speaker 1>will only make it if I get my way would

1:09:54.840 --> 1:09:57.479
<v Speaker 1>only get it make it even easier to put that

1:09:57.520 --> 1:10:00.720
<v Speaker 1>to your service, so you can solve whatever problem you anty.

1:10:00.840 --> 1:10:03.200
<v Speaker 1>Tell us what you do outside of the office to

1:10:03.320 --> 1:10:07.880
<v Speaker 1>relax or for fun. I spend as much time as

1:10:07.880 --> 1:10:11.760
<v Speaker 1>i can with my kids for not just because I'm

1:10:11.800 --> 1:10:14.880
<v Speaker 1>a family man. It's just they're hilarious, but it's it's

1:10:14.920 --> 1:10:17.559
<v Speaker 1>but it's not going with my kids as in traditional playing.

1:10:17.560 --> 1:10:20.320
<v Speaker 1>Of course, as you can imagine, we build contraptions. I'm

1:10:20.360 --> 1:10:22.920
<v Speaker 1>having them build computers. There are five and eight. But

1:10:23.000 --> 1:10:26.360
<v Speaker 1>it's okay, it's good early enough. Um So having them

1:10:26.360 --> 1:10:32.240
<v Speaker 1>assemble the computers, we are doing all sorts of absurd things. Ah.

1:10:32.280 --> 1:10:34.640
<v Speaker 1>And we played together and I'm even learning violin with

1:10:34.760 --> 1:10:38.400
<v Speaker 1>both of them. Uh. And that's incredibly enriching for me.

1:10:40.360 --> 1:10:43.599
<v Speaker 1>So if a millennial or recent college grad came up

1:10:43.640 --> 1:10:50.600
<v Speaker 1>to you and said, I'm interested in a career in technology, innovations, startups,

1:10:51.080 --> 1:10:54.400
<v Speaker 1>what sort of advice would you give them? Interesting question.

1:10:54.600 --> 1:10:58.360
<v Speaker 1>So my first advice is find a problem, right, because

1:10:58.400 --> 1:11:01.679
<v Speaker 1>technology is what you use to make the problem go away. Right.

1:11:01.920 --> 1:11:05.320
<v Speaker 1>An innovation is the process of doing that to some degree. Uh.

1:11:05.360 --> 1:11:08.760
<v Speaker 1>If you can find a problem and look harder, but

1:11:08.800 --> 1:11:11.800
<v Speaker 1>if all you intend to do is get money, you

1:11:11.800 --> 1:11:14.320
<v Speaker 1>know the current cycle is going to end. Eventually, it's

1:11:14.320 --> 1:11:19.120
<v Speaker 1>going to become impossible to create this multibillion dollar investments

1:11:19.920 --> 1:11:22.599
<v Speaker 1>that take ten or fifteen years to show a profit,

1:11:23.160 --> 1:11:25.719
<v Speaker 1>if not more. So that's not going to be there forever.

1:11:26.160 --> 1:11:28.840
<v Speaker 1>And when that goes away, if you just adopt that

1:11:28.960 --> 1:11:30.360
<v Speaker 1>view of the world is not going to help you.

1:11:30.360 --> 1:11:33.760
<v Speaker 1>So just find a problem and work backwards from that

1:11:33.800 --> 1:11:36.799
<v Speaker 1>problem to get the education you want, rather than obsessing

1:11:36.800 --> 1:11:40.040
<v Speaker 1>about what do I become computer scientist, stores, so on,

1:11:40.160 --> 1:11:43.599
<v Speaker 1>so forth? And our final question, what is it that

1:11:43.640 --> 1:11:47.479
<v Speaker 1>you know about technology and innovation today that you wish

1:11:47.520 --> 1:11:50.599
<v Speaker 1>you knew years or so ago when you were first

1:11:50.600 --> 1:11:55.120
<v Speaker 1>starting out. So I think of myself as a different

1:11:55.120 --> 1:11:58.840
<v Speaker 1>person every so often, So I'm not sure what myself

1:11:58.880 --> 1:12:02.439
<v Speaker 1>of twenty years ago really thought, right, I can't chat

1:12:02.479 --> 1:12:05.800
<v Speaker 1>with him to figure that out. So I'm not sure

1:12:05.880 --> 1:12:08.160
<v Speaker 1>that that's what I wanted. But what I wrote in

1:12:08.200 --> 1:12:10.519
<v Speaker 1>the book gives me the answer. I think I was

1:12:10.560 --> 1:12:12.439
<v Speaker 1>looking for what I didn't know what I was doing,

1:12:13.120 --> 1:12:15.479
<v Speaker 1>So I guess that what I did is that answered.

1:12:16.200 --> 1:12:19.120
<v Speaker 1>If not the question, I would have phrased what I

1:12:19.160 --> 1:12:21.080
<v Speaker 1>thought I needed to understand to make it to the

1:12:21.120 --> 1:12:23.080
<v Speaker 1>next leap for myself, and that has been a really

1:12:23.160 --> 1:12:28.200
<v Speaker 1>enreaching experience. We have been speaking with Luis Perez Bravo.

1:12:28.400 --> 1:12:30.760
<v Speaker 1>He is a professor at m I T and the

1:12:30.840 --> 1:12:36.480
<v Speaker 1>author of Innovating a Doer's Manifesto. If you enjoy this conversation,

1:12:36.560 --> 1:12:38.240
<v Speaker 1>be sure and look up an Inch or down an

1:12:38.240 --> 1:12:44.080
<v Speaker 1>Inch on Apple iTunes, overcast, Bloomberg dot com wherever final

1:12:44.120 --> 1:12:46.760
<v Speaker 1>podcasts are sold, and you could see any of the

1:12:46.840 --> 1:12:50.600
<v Speaker 1>other nearly two hundred such conversations we've had over the

1:12:50.640 --> 1:12:54.520
<v Speaker 1>past few years. We love your comments, feedback and suggestions

1:12:55.160 --> 1:12:58.679
<v Speaker 1>right to us at m IB podcast at Bloomberg dot net.

1:12:59.360 --> 1:13:01.600
<v Speaker 1>I would be remiss if I did not thank my

1:13:01.760 --> 1:13:05.880
<v Speaker 1>crack staff who helps put together this podcast each week.

1:13:06.400 --> 1:13:10.759
<v Speaker 1>Medina Parwana is our audio engineer and producer and keeps

1:13:10.800 --> 1:13:15.400
<v Speaker 1>me honest each week and moving along as these conversations

1:13:15.439 --> 1:13:19.200
<v Speaker 1>progress across ninety minutes. Taylor Riggs is our other producer

1:13:19.320 --> 1:13:24.240
<v Speaker 1>slash booker. Michael Batnick is our head of research. Attica

1:13:24.439 --> 1:13:28.880
<v Speaker 1>val Burne is our business producer. I'm Barry Retolts. You've

1:13:28.920 --> 1:13:32.400
<v Speaker 1>been listening to Masters in Business on Bloomberg radio