WEBVTT

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Welcome to the Innovation Conversation, a podcast

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about innovators, both in business and real life.

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Hosted by myself, Ricardo Rescual and Harry McCona.

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This podcast is also sponsored by ODEV Tech.

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ODEV Tech is your premier software development

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partner. Make sure you check them out at odev

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.tech. The podcast is also sponsored by Notion

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.so. Notion is offering six months for free for

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new users. Make sure you check out our website,

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thestoreofevents .co .uk to read in the software.

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Hi, and welcome to another episode of The Innovation

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Conversation. Today we are joined by Mike Tedasko.

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Mike, welcome to the podcast. Ricardo, thanks

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for having me. I'm excited about the conversation

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we're going to have. A pleasure having you here,

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Mike. Would you like to introduce yourself to

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the audience, please? Yeah, I'd love to. Hello,

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everyone. Mike Tedasko. My background is buried.

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I started off my career in the world of finance

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and accounting. I ran my own business for a few

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years. I joined PayPal, was in products there,

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worked on some really cool, exciting products

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in my time there. But then in my second half

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of my career within PayPal, I ran the innovation

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group there after we had separated from eBay.

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Did that for about six years, and then most recently

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left that to work at a university at an AI center

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at San Diego State University. It's a quite an

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impressive career. I mean, it seems like you're

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the right guy to talk about anything to do with

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innovation, but also AI, because I was having...

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Bring it on. I'm ready for it, Ricardo. Yeah.

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Okay. All right. So I think, you know, having

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that background and coming from PayPal, I think

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one of the first questions is, how important

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is it for a tech company or, you know, something

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that started and obviously grew into this back

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entity company with this PayPal to continue to

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focus on innovation? Look, I think, yeah, for

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a technology company, you need to be ahead of

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the curve. Like I, I live very close to where

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Intel's headquarters are. For anybody who might

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be following the news on Intel, I mean, it is,

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no, it was a technology company that has birthed

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so many, so much of what we have today exists

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because of that. But they missed mobile, they

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missed GPUs, they missed So many things, and

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now it's has an ousted CEO. It's a shell of its

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former self. And, you know, like that's what

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happens in technology. If you're not innovating,

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if you are not up on like what the next new thing

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is going to be. Yeah, you could still survive,

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but you're not going to thrive. And so for any

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company in the technology space, you need to

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be thinking about what are the next platforms?

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And ultimately, like, what are the better ways

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that I can use. technology to better serve the

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customers who I have now or who I want to be

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my future customers? And these are questions

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that everybody in tech companies or just about

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any company should be asking themselves. What

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do you think that makes companies continue to

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innovate? Is it leadership? Is it culture? What

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are the defining things that actually help them?

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PayPal had a culture of innovation because it

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was forced into it. I mean, yes, there were some

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extremely innovative, creative people at the

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top and, you know, Reid Hoffman and Elon Musk

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and David Sacks and all these people were, you

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know, founders of PayPal or very, very early

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employees and, but they definitely created a

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culture that permeated. So like there were many

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things, you know, on the risk and security side

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of PayPal that were being forced into because

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PayPal is a company and you know, 2000 was doing

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things that the world had not seen before. So

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one example that I think is, was an amazing innovation,

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which sounds so simplistic nowadays, but you

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know, back in the days when people were trying

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to add their bank accounts to PayPal, they had

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to send in to PayPal, a paper check that somebody

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had to actually look at and type in and all this

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stuff like total archaic. really difficult process.

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Somebody suggested, an engineer, I believe suggested

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like, well, what if we had a PIN number instead?

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And this led to a thing that's actually still

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used today in banks in the United States, where

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often if you want to confirm your bank account,

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you will get a micro payment. They will send

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you 16 cents and 34 cents, like two random amounts.

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You type those in and that's a way that they

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can actually confirm a bank account. And it's

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way less costly to send a few cents to somebody

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than it is to have a paper check in this whole

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process. And that was just something that was

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birthed out of necessity. And so I think a lot

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of innovation comes down to, you know, what's

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the need, what are you trying to serve? And also

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having a culture that's going to encourage that.

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And of course, you know, I'm sure we'll talk

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more about failure and things like that at some

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point, but a culture that is not going to When

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you screw up, when it doesn't work, when you

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gave it a good faith effort and tried something,

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that's not the end of your career. You need to

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pivot and shake yourself off and learn from that

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and just move on to something else. How you create

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a culture that really emphasizes on those types

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of things, that's pivotal in making an innovative

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company. Well, I think it just led to my next

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question, which is exactly that. How do you manage

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to create that? Because a lot of people, when

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they're working, they're actually quite afraid

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of making mistakes and then they don't risk,

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they don't, you know, try to do anything new.

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It's more, okay, I know this works. I'll keep

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on doing this till my dying days. But in reality,

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we all need to adapt and actually need to grow

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very quickly. So how do you foster that within

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the company itself? And how do you promote that

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sense of it's okay to make mistakes? And I actually

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expect you to make mistakes because that means

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you create something new. Yeah. Look, every company

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is different. And every company needs to find

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their own way to do that. I think leading by

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example is a great way to do that for senior

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leadership. If you only talk to employees about

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your successes, that is going to be a tell for

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them that they're not allowed to fail either.

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When you are a leader and you're very open in

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your own shortcomings, and you get up on stage

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and say, Hey, we screwed this up or whatever,

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or I'm sorry, not we. When you say, I screwed

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this up as a leader. That's a tell to make it

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known that like, Hey, it's okay to try stuff.

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I mean, we want to learn from that. One company

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that actually inspired us a lot at PayPal was

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a company called Ben & Jerry's, which for people

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who might not know is an ice cream company. And

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one of the things they have at Ben & Jerry's

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is they have something called a flavor gravy.

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So at their, their corporate headquarters, they

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actually have tombstones for ice cream flavors

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that have not succeeded. Like, you know, the

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things that went away and so forth. That's something

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that their employees can see all the time when

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they're there as part of that. So at PayPal,

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this was before, right before COVID, never actually

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got to get back to the office and finish it.

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Unfortunately, we were actually making a product

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graveyard. We were, and it was so great. We had

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like a little, like, like a model train sets

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with these trees and all that. We were kind of

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recreating the PayPal campus on this scaled down

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version with little. PayPal products or representations

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of PayPal products with QR codes that you could

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scan and learn about that. And we were interviewing

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the people who created these things that did

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not succeed and what they learned from them.

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Because again, it's not that. Look, it's not

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that you were saying like, oh, well, we should

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just keep failing. No, that's not the point.

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Failure is a stepping stone to success. You know,

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you don't go to school just or learn a foreign

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language, just expecting, well, yeah, I'm just

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going to hear it once and I'm going to speak

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it fluently right back to you and understand.

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Like, no, it's an iterative process and how we

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learn as an individual or as a group. And you

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have to learn from each step and you're going

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to get better and better and better as you do

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that. And to just say like, You know to sweep

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it like I think a lot of companies natural reaction

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is like that's a failure We're never gonna talk

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about that again. That is by far the worst thing

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that you could possibly be doing It's interesting

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saying that because I talk with a lot of startups

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and also investors and one of the key things

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that I think investors always look at is Have

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they been able to pivot because they know the

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first idea is not going to work out So they're

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actually looking for the ability to pivot more

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than anything else. And it just goes to show

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it's exactly like you said. You need to continue

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to innovate. You need to continue making not

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just mistakes, but being able to take the risk

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and embrace that risk. This is part of the game,

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isn't it? There's not been a successful company

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that exists today that didn't have horror stories.

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They thought they were going to die and that

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didn't have to pivot. I mean, like again, to

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bring up PayPal again. PayPal was a company for

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wiring money between Palm Piles. They were using

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the infrared technology between two Palm Pilot

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devices to send money. And that's what they were

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making. the whole business about. It just happened

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to be that Max Leption, one of the founders,

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made something as a test where people could send

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money to an email address. And frankly, from

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the stories I've heard, like the company fought

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against that. They're kind of like, no, no, that's

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actually, that's not what we're about. We're

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about sending money between Palm Pilots. And

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all of a sudden these people started to use this

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testing thing that Max had set up for sending

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money to an email address. And then finally as

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a company, they had to realize like, Actually,

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I guess that's the business. And then it caught

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on eBay and expanded to all these other things.

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But like that was a huge pivot for the company.

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And again, I don't care what company you are.

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You have had these stories. Like it's not always

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just up into the rights for growth. You are going

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to have pivot. You're going to have to, and frankly,

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you have to listen to your customers. That is

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the big thing. And 99 .9 % of the time, what

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you envision is what your customers want is not

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what they actually need. and you need to really

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talk to them, understand that, iterate again

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and again and again until you start to really

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find that product market fit. You know, when

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you're leading innovation in such a big company,

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how do you get that feedback from customers?

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Because sometimes, let's take, for example, a

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very recent case, Jaguar, for example, the car

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company, right? Yeah. You change the branding

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and everyone's kind of against it. The product

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market fit still remains to be seen, I would

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say, at this stage. Then how do you find, you

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know, within your company, how do you manage

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to find that? Jaguar is interesting. Like, I

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mean, to me, I feel that this is kind of just

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like a ruse. I mean, again, not to go too far

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down that path, but like, it's been fascinating

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the rebranding that they've been doing because

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like, look, nobody cared about Jaguar before.

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I mean, I don't know what percentage of global

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car sales they were before this. They were definitely

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not top of mind. I bet you they weren't in the

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top 15 car companies. Most people would kind

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of rattle off or anything. So like, It's really

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interesting to generate this and to say like,

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well, we're actually all electric. We're all

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this now, and we're, you know, not about the

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car anymore, whatever this is. Like, you know,

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sometimes, you know, if you were Toyota, you

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probably wouldn't make that because they're the

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number one car maker in the world. But when you're,

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again, number 15 or whatever Jaguar is, yeah,

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you can take a risk and do something innovative

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and creative. That was not your question though.

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Your question, Ricardo, was... actually about

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how do you talk to the customers, how do you

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get that feedback loop and so forth. I think,

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look, you need to empower your individual teams

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more than anything. At PayPal, again, we had,

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you know, one team that was focused on like charities,

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you know, because the needs of a charity for

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money and collecting funds and so forth are very

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different than the needs of a Small business,

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that's just an individual. A medium -sized business

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who might have like more sophisticated integrations

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versus a large business who like, you know, a

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large enterprise. And like all of these had different

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teams, focus. And you need to empower the people

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in the field to be able to do and build what

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is best for their own customers. Like that is

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the one truth. Like as a CEO, you can't dictate.

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those things. Now, if you're like five person

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startup, well, okay, but then you should be the

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person that's out there talking to the customers,

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listening, asking questions, and again, getting

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to what their problems are. And you really want

00:12:27.080 --> 00:12:30.259
to solve those problems in a way that is innovative,

00:12:30.620 --> 00:12:34.039
unique, you know, dare I say 10 times better

00:12:34.039 --> 00:12:36.120
than the way that they're solving their problems

00:12:36.120 --> 00:12:40.019
today. If you can do those things, then you're

00:12:40.019 --> 00:12:42.399
going to have a successful product. So the one

00:12:42.399 --> 00:12:46.059
question to always ask, uh, you know, a customer,

00:12:46.179 --> 00:12:47.860
and this could be as you're investing in a company

00:12:47.860 --> 00:12:50.440
or whatever else, if, if your product disappeared

00:12:50.440 --> 00:12:53.240
today, how would your customers react? And if

00:12:53.240 --> 00:12:56.980
it's not like outright forward and Shaw, I mean,

00:12:57.019 --> 00:12:58.720
like, oh my gosh, what am I going to do now?

00:12:59.019 --> 00:13:01.179
Listen to Spotify on the way here. I just got

00:13:01.179 --> 00:13:03.440
my year in review, my Spotify rant and yeah,

00:13:03.519 --> 00:13:06.039
there's competing products out there. I love

00:13:06.039 --> 00:13:09.389
my Spotify. The 20 bucks a month we spend as

00:13:09.389 --> 00:13:12.090
a family plan, like we probably spend a hundred

00:13:12.090 --> 00:13:14.789
bucks a month. Easel. You know, I also grew up

00:13:14.789 --> 00:13:17.750
in the 1990s where CDs used to cost like $17.

00:13:18.490 --> 00:13:21.490
So it's ridiculous to me how cheap music is nowadays,

00:13:22.009 --> 00:13:24.230
but you know, given all of that, like that's

00:13:24.230 --> 00:13:27.110
a product that has clearly found fits with their

00:13:27.110 --> 00:13:29.889
customers. There's built a loyalty and so forth

00:13:29.889 --> 00:13:32.090
as part of that, even though there are, you know,

00:13:32.190 --> 00:13:34.230
Apple music and other competing services out

00:13:34.230 --> 00:13:36.600
there. They do it much more elegant. elegantly

00:13:36.600 --> 00:13:38.799
and they know your customer like that are the

00:13:38.799 --> 00:13:41.139
those are the type of experiences that you need

00:13:41.139 --> 00:13:43.200
to be able to strive for. We kind of touched

00:13:43.200 --> 00:13:45.059
upon something interesting which is getting feedback

00:13:45.059 --> 00:13:47.700
and therefore learning from your customers. Now

00:13:47.700 --> 00:13:50.440
I want to make the jumps for AI or to AI because

00:13:50.440 --> 00:13:52.740
I know you're very passionate and vocal about

00:13:52.740 --> 00:13:55.860
it. How do you see this this whole AI evolution?

00:13:56.059 --> 00:13:58.539
Is it like a massive threat and we should all

00:13:58.539 --> 00:14:00.559
I don't know hide underneath our beds or something

00:14:00.559 --> 00:14:02.460
or actually should embrace it and just stick

00:14:02.460 --> 00:14:05.970
it in? I think the answer is we need to embrace

00:14:05.970 --> 00:14:07.730
it. Maybe we should be hiding under our beds.

00:14:07.850 --> 00:14:09.549
I don't know. Actually, I actually don't know

00:14:09.549 --> 00:14:11.610
how this is all going to play out again. I'm

00:14:11.610 --> 00:14:15.070
already kind of teased my age here, but I started

00:14:15.070 --> 00:14:18.610
school in the 90s and college and I had never

00:14:18.610 --> 00:14:21.409
used the internet before getting to school. I

00:14:21.409 --> 00:14:23.110
happened to be lucky enough to go to university

00:14:23.110 --> 00:14:25.909
of Illinois. And like the first time I went to

00:14:25.909 --> 00:14:29.649
school there, like as a freshman day one, like

00:14:29.870 --> 00:14:32.289
in the computer labs are like these browsers

00:14:32.289 --> 00:14:34.429
and these blue links and you click on things

00:14:34.429 --> 00:14:38.129
and it takes you places. I felt like I just had

00:14:38.129 --> 00:14:41.009
entered the future when I was there. And like,

00:14:41.070 --> 00:14:42.769
you know, and I went back home to tell my friends

00:14:42.769 --> 00:14:45.330
about it, like, you know, over, over the holidays

00:14:45.330 --> 00:14:46.710
and everything. And they're like, what are you

00:14:46.710 --> 00:14:48.809
talking about? Like it wasn't, and of course

00:14:48.809 --> 00:14:51.590
that played out and that's very much the world

00:14:51.590 --> 00:14:54.230
we're living in now. What we're seeing in AI

00:14:54.840 --> 00:14:58.019
is so much bigger than the connectivity I think

00:14:58.019 --> 00:15:00.480
that we've had from the internet. For so many

00:15:00.480 --> 00:15:02.840
years when I was at PayPal, there were some brilliant

00:15:02.840 --> 00:15:05.000
machine learning engineers that were there. They

00:15:05.000 --> 00:15:07.600
were doing amazing things with the amount of

00:15:07.600 --> 00:15:10.600
data that we have, with natural language processing,

00:15:10.759 --> 00:15:13.399
with all these different aspects of the broader

00:15:13.399 --> 00:15:17.120
world of artificial intelligence. And I'm not

00:15:17.120 --> 00:15:19.879
an engineer by trade. As I started, I mean, I

00:15:19.879 --> 00:15:22.559
was a finance and accounting guy. going way back

00:15:22.559 --> 00:15:24.120
when. So like I can never do the things that

00:15:24.120 --> 00:15:27.799
they did. But fast forward to today, and you

00:15:27.799 --> 00:15:30.960
have the most powerful models in the world that

00:15:30.960 --> 00:15:34.259
the world has ever seen, that you can talk to

00:15:34.259 --> 00:15:37.899
in natural language, either by typing or by literally

00:15:37.899 --> 00:15:41.179
by voice. And you can use these tools for 20

00:15:41.179 --> 00:15:44.220
bucks a month. It is just mind blowing at like

00:15:44.220 --> 00:15:47.159
the amount of power that we have. I think people

00:15:47.159 --> 00:15:50.899
who are really into it, like myself, are seeing

00:15:50.899 --> 00:15:53.539
how it changes our workflows, things that we

00:15:53.539 --> 00:15:56.820
do with our families and just our lives in general.

00:15:57.019 --> 00:15:59.500
And the rest of the world hasn't fully caught

00:15:59.500 --> 00:16:03.220
on. I mean, I think chat GPT or OpenAI said chat

00:16:03.220 --> 00:16:06.259
GPT is like up to 300 million users now on there,

00:16:06.440 --> 00:16:11.700
but that still is what? 4 % of the world's population

00:16:11.700 --> 00:16:14.440
or something like that. I mean, it's still a

00:16:14.440 --> 00:16:16.860
tiny number if you consider what over half of

00:16:16.860 --> 00:16:19.909
the world is online. So most people are not using

00:16:19.909 --> 00:16:23.669
these tools. I think you are going to see the

00:16:23.669 --> 00:16:26.309
tools continue to improve. I do believe that's

00:16:26.309 --> 00:16:29.230
going to happen. And I do think even more than

00:16:29.230 --> 00:16:32.529
that, we're going to figure out even more how

00:16:32.529 --> 00:16:35.149
we could use these tools more effectively. We're

00:16:35.149 --> 00:16:36.909
going to learn from each other. Like even if

00:16:36.909 --> 00:16:39.029
the tools didn't improve today, there's so much

00:16:39.029 --> 00:16:42.389
more gain that we have in front of us. So what

00:16:42.389 --> 00:16:45.850
that means is... Look, they're not taking our

00:16:45.850 --> 00:16:50.269
jobs yet. Could they? Possibly. Yeah. Um, more

00:16:50.269 --> 00:16:52.789
likely though is our jobs are going to evolve

00:16:52.789 --> 00:16:55.149
and they're going to greatly evolve and greatly

00:16:55.149 --> 00:16:59.590
change. Um, just like if you were doing things,

00:16:59.830 --> 00:17:03.870
you know, if, if you're a sales person and it's

00:17:03.870 --> 00:17:09.190
1996, let's say, and you've said, Oh, my job's

00:17:09.190 --> 00:17:11.170
not going to change it all over the next 10 years.

00:17:11.329 --> 00:17:13.440
Well, you would have been very wrong. of that

00:17:13.440 --> 00:17:15.319
because like you're probably doing a lot more

00:17:15.319 --> 00:17:16.960
email, you're probably doing a lot more of this

00:17:16.960 --> 00:17:19.839
or whatever else like is part of that process.

00:17:20.640 --> 00:17:23.660
If you're in sales today, like I think the human

00:17:23.660 --> 00:17:26.019
experience, the one -on -one connection does

00:17:26.019 --> 00:17:29.099
matter, but you can have an AI that's listening

00:17:29.099 --> 00:17:31.839
in on your sales calls and evaluating you on

00:17:31.839 --> 00:17:33.519
how you're doing your performance so you can

00:17:33.519 --> 00:17:37.220
improve that. You can have it updating your CRM.

00:17:37.839 --> 00:17:40.599
automatically based on the notes for those calls

00:17:40.599 --> 00:17:42.759
or whatever it might be. And like, there's just

00:17:42.759 --> 00:17:45.400
so many different use cases. And I think what's

00:17:45.400 --> 00:17:47.779
important for all of us is to stay on top of

00:17:47.779 --> 00:17:50.180
this within our personal lives, within our business

00:17:50.180 --> 00:17:53.039
lives, to just really embrace the tools that

00:17:53.039 --> 00:17:54.680
are out there. Know that they're going to change.

00:17:54.819 --> 00:17:57.079
Know that they're going to improve. But even

00:17:57.079 --> 00:17:59.900
today, I think no matter what your job is, if

00:17:59.900 --> 00:18:03.579
you just spent three, four, five hours with these

00:18:03.579 --> 00:18:06.549
tools, You could really start to uncover, oh

00:18:06.549 --> 00:18:08.430
my gosh, I didn't know that that was possible.

00:18:08.529 --> 00:18:10.730
I used to do things this way. Now I can do things

00:18:10.730 --> 00:18:14.250
this way. And that is going to be essential for

00:18:14.250 --> 00:18:16.690
anybody who's out there to really, you know,

00:18:16.890 --> 00:18:20.490
stay on top of this to, to make sure. Yeah. Like,

00:18:20.490 --> 00:18:24.630
like my job is going to evolve. My job is not

00:18:24.630 --> 00:18:28.750
going to just go away when these models. I read

00:18:28.750 --> 00:18:31.450
somewhere about a comparison to the, and that

00:18:31.450 --> 00:18:34.279
was when, you know, cars were in events. and

00:18:34.279 --> 00:18:36.640
how in 20 years, but again it was a slower adoption,

00:18:37.200 --> 00:18:39.440
20 years everyone went from having a horse and

00:18:39.440 --> 00:18:41.599
a carriage to actually having a car. We're thinking

00:18:41.599 --> 00:18:44.240
about having a car. And of course with the move

00:18:44.240 --> 00:18:46.220
from one industry to the other, you had a lot

00:18:46.220 --> 00:18:48.000
of jobs that literally just disappeared. You

00:18:48.000 --> 00:18:50.039
don't have that many settle makers, you don't

00:18:50.039 --> 00:18:52.220
have that many, you know, people putting horseshoes

00:18:52.220 --> 00:18:53.859
onto horses because you don't have them either.

00:18:54.160 --> 00:18:56.420
But you do have the transformation of those industries

00:18:56.420 --> 00:18:58.700
into becoming mechanics. Maybe now they're just

00:18:58.700 --> 00:19:00.859
selling tires instead of selling horseshoes.

00:19:01.039 --> 00:19:02.319
And yeah, I agree with you. I think that's probably

00:19:02.319 --> 00:19:03.380
what's going to happen. We're going to have a

00:19:03.380 --> 00:19:05.920
lot of transformation, but positive transformation.

00:19:06.079 --> 00:19:08.019
People will continue being people, so we're going

00:19:08.019 --> 00:19:10.200
to need people, right? So that's probably not

00:19:10.200 --> 00:19:13.019
going to change. I was talking to somebody about

00:19:13.019 --> 00:19:14.980
this just recently. We're using the example of

00:19:14.980 --> 00:19:17.319
McDonald's. And now, like in most McDonald's,

00:19:17.339 --> 00:19:19.559
there is a self -service kiosk where you just

00:19:19.559 --> 00:19:21.680
punch in your order versus a person you're talking

00:19:21.680 --> 00:19:24.539
to. So that job has been eliminated. Keep playing

00:19:24.539 --> 00:19:26.839
this out and then, okay, well. Are they going

00:19:26.839 --> 00:19:29.420
to eventually, if you're flipping burgers over,

00:19:29.500 --> 00:19:31.660
if you're cleaning the tables, like all of these

00:19:31.660 --> 00:19:35.359
things could become robotic. So what does McDonald's

00:19:35.359 --> 00:19:37.640
look like 20, 30 years from now? Like who's employed

00:19:37.640 --> 00:19:40.019
at a McDonald's? Is it nobody? I don't think

00:19:40.019 --> 00:19:42.819
it's nobody. I think it might just be people

00:19:42.819 --> 00:19:45.460
repairing the robots and fixing these things

00:19:45.460 --> 00:19:47.519
and restocking and doing the things that actually

00:19:47.519 --> 00:19:49.660
are really hard for robots to do potentially.

00:19:50.319 --> 00:19:52.000
And, you know, is that going to be more or less

00:19:52.000 --> 00:19:54.680
employees than today? I don't know. I mean, it

00:19:54.680 --> 00:19:56.920
might mean, you know, just look at the parallel

00:19:56.920 --> 00:20:00.819
to the ATM. So the concept of ATM machines, which

00:20:00.819 --> 00:20:03.740
was introduced in like the 1970s, people thought

00:20:03.740 --> 00:20:07.339
like bank tellers jobs are done. Of course, there

00:20:07.339 --> 00:20:08.859
are more in the United States, at least there

00:20:08.859 --> 00:20:11.900
are more bank tellers than there were today.

00:20:11.900 --> 00:20:13.579
There are more bank tellers today than there

00:20:13.579 --> 00:20:16.799
were in the 1970s. And well, why is that if the

00:20:16.799 --> 00:20:19.799
ATM existed? Well, their jobs changed. They morphed.

00:20:19.799 --> 00:20:22.769
It became something new. And also it enabled

00:20:22.769 --> 00:20:26.069
banks to open up more and smaller bank branches

00:20:26.069 --> 00:20:28.190
where they don't need as many people. So like

00:20:28.190 --> 00:20:30.049
maybe that's true for McDonald's. Like they're

00:20:30.049 --> 00:20:31.930
going to have a bunch more McDonald's on there

00:20:31.930 --> 00:20:34.230
because like they only need to have three employees

00:20:34.230 --> 00:20:36.869
instead of eight or 10 or whatever it might be.

00:20:36.990 --> 00:20:38.970
Is that a good thing? I don't know. But like,

00:20:38.970 --> 00:20:41.289
like these are the types of changes I think we're

00:20:41.289 --> 00:20:43.470
going to be saying. Is this about the knowledge

00:20:43.470 --> 00:20:46.309
and access to it? Not just access to information,

00:20:46.369 --> 00:20:48.589
but the ability to process information and actually

00:20:48.589 --> 00:20:50.890
action information as well. Because when the

00:20:50.890 --> 00:20:52.690
internet first started, I was like, oh, we can

00:20:52.690 --> 00:20:55.190
now find things online. Now we can now interact

00:20:55.190 --> 00:20:56.730
with people. But all of a sudden, it's like,

00:20:56.769 --> 00:20:58.789
actually, I can take all this information, I

00:20:58.789 --> 00:21:00.490
can take all this knowledge, and actually make

00:21:00.490 --> 00:21:02.869
my computer do something for me based on that

00:21:02.869 --> 00:21:05.470
and do it exactly what I need it to do. And that

00:21:05.470 --> 00:21:08.269
is incredibly powerful, isn't it? Like, I see

00:21:08.269 --> 00:21:10.309
through my working day, it's like I do so much

00:21:10.309 --> 00:21:13.150
stuff with AI that will take me hours and probably

00:21:13.150 --> 00:21:15.190
weeks to do before. And I was like, click a button,

00:21:15.250 --> 00:21:18.529
here you go. Awesome. So my ability to work just...

00:21:18.589 --> 00:21:20.630
went, I don't know, a thousand times bigger.

00:21:20.849 --> 00:21:23.650
So it's just quite, quite powerful. In my workflow,

00:21:23.809 --> 00:21:26.930
I write a lot and I constantly am using it for

00:21:26.930 --> 00:21:29.509
writing. I will use tools like perplexity to

00:21:29.509 --> 00:21:31.910
find information, but then I will use the AI

00:21:31.910 --> 00:21:33.950
tools to edit my writing all the time. I will,

00:21:33.950 --> 00:21:36.089
I will like, one of the first things I do whenever

00:21:36.089 --> 00:21:37.910
I'm done writing something is I'll throw it in

00:21:37.910 --> 00:21:39.970
Claude and I'll be like, Hey Claude, fact check

00:21:39.970 --> 00:21:42.690
this for me. Which I know seems crazy to have

00:21:42.690 --> 00:21:45.069
an AI model do that, but like, if it sees something

00:21:45.069 --> 00:21:47.680
I'm wrong, if I'm misquoting something. It'll

00:21:47.680 --> 00:21:49.500
usually it'll like lay out. Well, these are what

00:21:49.500 --> 00:21:51.559
I think the facts are These are the things like

00:21:51.559 --> 00:21:53.519
that might be wrong and I'm like, okay. Well,

00:21:53.619 --> 00:21:55.420
maybe I did get that wrong I should probably

00:21:55.420 --> 00:21:58.160
go look into that a little bit more and then

00:21:58.160 --> 00:22:01.059
you know, it's just turn after turn after turn

00:22:01.059 --> 00:22:04.299
that I do on this and You know if I could afford

00:22:04.299 --> 00:22:07.240
to have a full -time human editor at all times

00:22:07.240 --> 00:22:10.319
doing this would like Just have a free newsletter.

00:22:10.559 --> 00:22:13.460
I'm not going to do that, but this enables so

00:22:13.460 --> 00:22:16.119
much more to happen and just with really quick

00:22:16.119 --> 00:22:18.539
and rapid iterations. And again, that's just

00:22:18.539 --> 00:22:21.119
for writing. You're right. Apply this to any

00:22:21.119 --> 00:22:24.019
function, any type of knowledge work or function

00:22:24.019 --> 00:22:27.099
that is out there. You're going to find so many

00:22:27.099 --> 00:22:29.799
different use cases just once you start to open

00:22:29.799 --> 00:22:31.619
your eyes and become familiar with what these

00:22:31.619 --> 00:22:34.440
tools can do. I have an interesting question

00:22:34.440 --> 00:22:37.769
for you because I know you also teach. Now, students,

00:22:37.849 --> 00:22:40.650
you know, traditionally were taught to memorize

00:22:40.650 --> 00:22:44.269
this and kind of show us what you managed to

00:22:44.269 --> 00:22:45.789
memorize. Now, obviously, that's not the right

00:22:45.789 --> 00:22:48.650
way to do things anymore. Now, with the intellectual

00:22:48.650 --> 00:22:51.390
and intellectual but much of AI models, that

00:22:51.390 --> 00:22:54.789
massively changed. Has education, you know, started

00:22:54.789 --> 00:22:56.869
to embrace that? The fact that people are more

00:22:56.869 --> 00:22:59.430
operated instead of just holders of information?

00:22:59.589 --> 00:23:01.609
Or is this still very traditional from your perspective?

00:23:02.490 --> 00:23:05.250
Look, I mean, it's like to take the historical

00:23:05.250 --> 00:23:07.450
perspective. But if you would say like, what

00:23:07.450 --> 00:23:11.210
was an intelligent person 500 years ago, or whenever

00:23:11.210 --> 00:23:13.269
it might be, often it would be something like,

00:23:13.269 --> 00:23:16.289
it's the person who's memorized the Bible. Like

00:23:16.289 --> 00:23:18.289
memorization was that because like, you know,

00:23:18.410 --> 00:23:21.809
500 plus years ago was around the time of the

00:23:21.809 --> 00:23:23.970
printing press, the likes were not common, they're

00:23:23.970 --> 00:23:26.990
extremely expensive. And oh my gosh, the person

00:23:26.990 --> 00:23:30.279
memorized the Bible. That's great. If you Memorize

00:23:30.279 --> 00:23:32.599
the Bible or whatever, like more power to you.

00:23:32.700 --> 00:23:34.359
But like, nobody would say like, my God, you're

00:23:34.359 --> 00:23:36.500
the smartest person around. I mean, you might

00:23:36.500 --> 00:23:39.140
be, but, but like, like it's more of a parlor

00:23:39.140 --> 00:23:41.039
trick today. Like, like, you know, there's a,

00:23:41.039 --> 00:23:42.920
there's a book called moonwalking with Einstein.

00:23:43.160 --> 00:23:45.799
And it's actually all about memory competitions.

00:23:46.200 --> 00:23:48.240
In fact, it was a great book came out, you know,

00:23:48.259 --> 00:23:50.700
10 plus years ago. Um, but, but again, it's a,

00:23:50.700 --> 00:23:53.740
it's a sideshow because like we, as a society

00:23:53.740 --> 00:23:56.660
have set, you know, we used to think that memory.

00:23:56.839 --> 00:24:00.220
And memorizing things was the mark of true intelligence.

00:24:01.039 --> 00:24:05.079
Now, again, not so much because we have, we have

00:24:05.079 --> 00:24:07.259
devices that will memorize things for us. We

00:24:07.259 --> 00:24:09.440
have books that are readily available. We get

00:24:09.440 --> 00:24:11.559
to search whatever we want to, whenever we want

00:24:11.559 --> 00:24:14.480
to on the internet. So access to information

00:24:14.480 --> 00:24:18.700
isn't the problem it used to be. Looking at where

00:24:18.700 --> 00:24:21.599
schools are at today and where this is going

00:24:21.599 --> 00:24:25.670
to go and how we think about that, I think. You

00:24:25.670 --> 00:24:27.970
know, let's just take computer science, for example.

00:24:28.309 --> 00:24:31.309
A lot of what a university would do in the past,

00:24:31.329 --> 00:24:35.190
and even some would say, it's teaching you how

00:24:35.190 --> 00:24:38.089
to build programs, teaching you, you know, Python

00:24:38.089 --> 00:24:41.349
or teaching you C++ or computer languages and

00:24:41.349 --> 00:24:43.890
all this other kind of stuff is part of that.

00:24:45.190 --> 00:24:48.809
And I think, look, I think it's great to learn

00:24:48.809 --> 00:24:51.529
a computer language, but when you have a model

00:24:51.529 --> 00:24:56.970
like Claude or Cursor or whatever bolts, which

00:24:56.970 --> 00:24:58.890
is a new product that a lot of people are talking

00:24:58.890 --> 00:25:05.569
about. They can code extremely well. So the skill

00:25:05.569 --> 00:25:08.950
that will matter going forward isn't necessarily,

00:25:08.950 --> 00:25:12.670
I know how to manipulate Excel and all the formulas

00:25:12.670 --> 00:25:15.730
in Excel, or I know I need to, I know how to

00:25:15.730 --> 00:25:17.730
do this, whatever it might be. I think it's going

00:25:17.730 --> 00:25:19.900
to be much more like I know how to think like

00:25:19.900 --> 00:25:22.900
an engineer. I know how to have a logical thought

00:25:22.900 --> 00:25:26.440
process like an engineer, like an economist,

00:25:26.700 --> 00:25:30.980
like an accountant, like a lawyer. Take whatever

00:25:30.980 --> 00:25:34.220
discipline you want. And I think what is going

00:25:34.220 --> 00:25:38.640
to matter the most going forward is really the

00:25:38.640 --> 00:25:41.180
thought process that you have behind these things.

00:25:42.779 --> 00:25:46.240
Because the grunt work isn't going to be, you

00:25:46.240 --> 00:25:49.390
know, When we look at grunt work, this is going

00:25:49.390 --> 00:25:51.430
to be stuff that's easily done by computers.

00:25:52.069 --> 00:25:55.210
We're going to be much more directors of whatever

00:25:55.210 --> 00:25:58.089
experiences we have. They could be literally

00:25:58.089 --> 00:26:00.849
director of a film that you're having an AI develop

00:26:00.849 --> 00:26:02.529
and you say, well, let's move the camera here.

00:26:02.630 --> 00:26:04.829
Let's do this. And you're adding your taste from

00:26:04.829 --> 00:26:08.549
that perspective. Or it could even be, hey, ChatGPT,

00:26:08.890 --> 00:26:10.509
here are five different companies I want you

00:26:10.509 --> 00:26:12.509
to evaluate. I want to buy one of their stocks.

00:26:12.799 --> 00:26:14.339
And it's going to give you that. And you're going

00:26:14.339 --> 00:26:16.779
to have to ask the right questions and, and really

00:26:16.779 --> 00:26:18.559
think through that process. Cause yes, it could

00:26:18.559 --> 00:26:21.079
say, well, this is the best stock to buy. But

00:26:21.079 --> 00:26:23.420
in reality, it's never going to be able to fully

00:26:23.420 --> 00:26:26.180
get into your head. To know your true motivations

00:26:26.180 --> 00:26:28.920
and all this other stuff is part of that. So

00:26:28.920 --> 00:26:31.420
I think it's really important, like for us to

00:26:31.420 --> 00:26:35.819
learn how to think logically or whatever is the

00:26:35.819 --> 00:26:38.259
most important, like thought process. That is

00:26:38.259 --> 00:26:39.980
what should be taught in schools. And like that

00:26:39.980 --> 00:26:42.420
is really what's going to cultivate that. Not

00:26:42.420 --> 00:26:44.680
just from schools, but you know, in your professional

00:26:44.680 --> 00:26:47.200
career, how do you cultivate the thinking, the

00:26:47.200 --> 00:26:49.559
ability to actually think about a problem, manage

00:26:49.559 --> 00:26:51.140
to fix it without just saying, oh yeah, let's

00:26:51.140 --> 00:26:52.640
just, I don't know. This is what I was taught

00:26:52.640 --> 00:26:54.420
in school. So we always work. Hey, look, if I

00:26:54.420 --> 00:26:58.259
was a teacher, I would start the year with, um,

00:26:58.359 --> 00:27:01.119
giving my students a questionnaire. I would say,

00:27:02.400 --> 00:27:04.539
Hey, who are your three best friends? What are

00:27:04.539 --> 00:27:06.940
your, and this could be true for any grade level.

00:27:07.039 --> 00:27:09.279
Mind you, now who are your three best friends?

00:27:09.440 --> 00:27:11.460
Where do you grow up? What do you aspire to do

00:27:11.460 --> 00:27:13.220
in your life? What do you like to do in your

00:27:13.220 --> 00:27:15.200
free time? Blah, blah, blah. And let's just say

00:27:15.200 --> 00:27:17.420
I'm teaching math. I would then have a large

00:27:17.420 --> 00:27:21.539
language model. Basically input all of that information

00:27:21.539 --> 00:27:23.940
about the students and every time I'm handing

00:27:23.940 --> 00:27:26.960
out homework. I would actually do homework that

00:27:26.960 --> 00:27:30.119
is customized for their own experiences. So if

00:27:30.119 --> 00:27:32.799
my daughter is into stage acting, which she is,

00:27:32.880 --> 00:27:35.420
I would be asking a whole bunch of math questions

00:27:35.420 --> 00:27:39.319
to her uniquely that would be bringing in aspects

00:27:39.319 --> 00:27:42.420
of acting and all of these things that are really

00:27:42.420 --> 00:27:44.680
things that excite her. When you are tapping

00:27:44.680 --> 00:27:48.420
into somebody's personal passion, that is what

00:27:48.420 --> 00:27:50.819
matters more than anything. And that's one thing

00:27:50.819 --> 00:27:54.480
for teachers. These large language models enable

00:27:54.480 --> 00:27:57.640
us to do. There's no reason why you have to give

00:27:57.640 --> 00:28:00.559
30 students in your class the exact same questions.

00:28:01.259 --> 00:28:03.940
You can give them all individualized tests or

00:28:03.940 --> 00:28:06.799
quizzes or whatever that are tailored to them

00:28:06.799 --> 00:28:08.799
about what it is. Now, of course, you got to

00:28:08.799 --> 00:28:10.480
figure out, well, what's going to be fair, whatever,

00:28:10.839 --> 00:28:12.579
whatever. We could figure that stuff out. But

00:28:12.579 --> 00:28:15.299
like more importantly is like Can you get these

00:28:15.299 --> 00:28:17.660
students to learn better, more effectively by

00:28:17.660 --> 00:28:19.920
like literally talking to them in their own language?

00:28:20.000 --> 00:28:21.859
And it might even literally be in their own language.

00:28:22.039 --> 00:28:25.240
Let's say, you know, they're a non -native English

00:28:25.240 --> 00:28:28.420
speaker and in school that is primarily English.

00:28:28.579 --> 00:28:30.579
Is it more important than that math class that

00:28:30.579 --> 00:28:34.400
they focus on their English skills? Or is it

00:28:34.400 --> 00:28:37.099
you could actually give them math problems in

00:28:37.099 --> 00:28:41.299
Portuguese or in Mandarin or in whatever. And

00:28:41.299 --> 00:28:44.000
I as a teacher don't speak that. But like I could

00:28:44.000 --> 00:28:45.619
have a large language model. I should turn that

00:28:45.619 --> 00:28:49.140
out for them. Amazing. Like let's do that. Like

00:28:49.140 --> 00:28:51.400
that will help them. I mean, they can still have

00:28:51.400 --> 00:28:53.779
English class, but in math, I just care about

00:28:53.779 --> 00:28:55.940
the principles. I care about the thought process

00:28:55.940 --> 00:28:58.859
and let's use that as much as we possibly can.

00:28:59.380 --> 00:29:04.490
Like those are things that like are really enabling

00:29:04.490 --> 00:29:07.690
today people to grow more and define passion

00:29:07.690 --> 00:29:10.690
in place. It's like a great teacher matters more

00:29:10.690 --> 00:29:12.990
than just about anything that you could have

00:29:12.990 --> 00:29:15.990
in life to give you that passion to learn about

00:29:15.990 --> 00:29:18.750
that and learn those thought processes. Like

00:29:18.750 --> 00:29:22.049
again, I think these language models for the

00:29:22.049 --> 00:29:24.529
right teachers can be the unlock to enable those

00:29:24.529 --> 00:29:26.049
kinds of things to happen. Mike, I always want

00:29:26.049 --> 00:29:28.029
to, I always like asking this question, which

00:29:28.029 --> 00:29:30.509
is what excites you about the future? Cause we

00:29:30.509 --> 00:29:32.480
have so much going on right now. What's that

00:29:32.480 --> 00:29:34.339
one thing that makes you get out of bed every

00:29:34.339 --> 00:29:36.539
morning apart from dealing with your phone or

00:29:36.539 --> 00:29:40.299
something? Yeah, look, I mean, it is AI. It's

00:29:40.299 --> 00:29:43.319
where these models are taking us. Um, and it's

00:29:43.319 --> 00:29:46.140
specifically the area of health and wellness.

00:29:46.460 --> 00:29:48.839
That's actually what excites me the most. I have

00:29:48.839 --> 00:29:51.799
a custom GPT set up, like just set for myself

00:29:51.799 --> 00:29:55.039
with ChatGPT. I actually got a DEXA scan. It's

00:29:55.039 --> 00:29:56.960
like this thing you lay down on a table, they

00:29:56.960 --> 00:29:59.039
scan your entire body. Then it's like how much

00:29:59.039 --> 00:30:01.990
fat, how much bone, how much... muscle, all this

00:30:01.990 --> 00:30:04.609
other kind of stuff. And I get these every three

00:30:04.609 --> 00:30:07.650
months. I load it into ChatGPT. I get all these

00:30:07.650 --> 00:30:10.230
other things in there. It knows so much. It knows

00:30:10.230 --> 00:30:12.869
more about me than my doctor ever could. Like

00:30:12.869 --> 00:30:15.109
just like realistically, but like a doctor in

00:30:15.109 --> 00:30:18.910
the United States has probably three, 400 patients

00:30:18.910 --> 00:30:21.990
in most offices. They don't have time to know

00:30:21.990 --> 00:30:24.170
all of this about you. I see my regular doctor

00:30:24.170 --> 00:30:27.609
15 minutes a year. But my AI has infinite patience

00:30:27.609 --> 00:30:30.869
and infinite focus towards me. And I could ask

00:30:30.869 --> 00:30:34.130
it any question I want about my diets. I could

00:30:34.130 --> 00:30:36.450
take a picture of a menu and say, Hey, given

00:30:36.450 --> 00:30:37.769
this, like, what's the best thing that I should

00:30:37.769 --> 00:30:40.049
eat on here? Um, or like, what are the top three

00:30:40.049 --> 00:30:41.789
things or whatever? And it could kind of narrow

00:30:41.789 --> 00:30:43.609
things down for me and say, you know, based on

00:30:43.609 --> 00:30:45.569
your goals, based on your diet, based on your

00:30:45.569 --> 00:30:47.549
latest blood tests, like this is what you should

00:30:47.549 --> 00:30:50.190
focus on. There's so many ways you could do that.

00:30:50.410 --> 00:30:53.630
And this is just me working with the $20 a month.

00:30:53.980 --> 00:30:57.099
off the shelf, you know, chat GPT model that

00:30:57.099 --> 00:30:59.339
I kind of created for myself. Like you can have

00:30:59.339 --> 00:31:01.660
whole companies built off this and people are

00:31:01.660 --> 00:31:04.759
starting to, but I think we're just at the very

00:31:04.759 --> 00:31:08.220
earliest phases of like this really customized

00:31:08.220 --> 00:31:10.640
experience. And then in the United States, we

00:31:10.640 --> 00:31:15.000
spend almost 20 % of our GDP on medical related

00:31:15.000 --> 00:31:19.059
expenses. And we're just so inefficient. We don't

00:31:19.059 --> 00:31:22.369
have the outcomes that here. And now you. At

00:31:22.369 --> 00:31:25.869
least a decent doctor in your pockets and potentially

00:31:25.869 --> 00:31:29.490
a doctor that could almost be world -class. I'm

00:31:29.490 --> 00:31:31.470
not saying doctors are going away. They're not.

00:31:31.690 --> 00:31:34.230
The human element really, really matters. But

00:31:34.230 --> 00:31:36.869
like, if I'm traveling the other side of the

00:31:36.869 --> 00:31:39.670
world, I can't just have my doctor like on call

00:31:39.670 --> 00:31:43.490
24 seven. Like that's not realistic or any, any

00:31:43.490 --> 00:31:45.230
little thing that appears on my skin. I'm like,

00:31:45.269 --> 00:31:46.990
wait, what is this thing? I can literally just

00:31:46.990 --> 00:31:49.509
snap a picture and ask, ask an AI and it's going

00:31:49.509 --> 00:31:53.099
to give me. pretty accurate answer. Again, there's

00:31:53.099 --> 00:31:56.240
not medical advice. Like people still need to

00:31:56.240 --> 00:31:57.980
see their doctor, but the direction that we're

00:31:57.980 --> 00:32:01.519
going for this thing. Oh my gosh. Like it's pretty

00:32:01.519 --> 00:32:04.720
incredible. I was reading somewhere that, um,

00:32:04.720 --> 00:32:06.380
he came down to nutrition and the conversation

00:32:06.380 --> 00:32:09.299
was about nutrition at this point. And they said

00:32:09.299 --> 00:32:12.099
that whatever you learn in medical school is,

00:32:12.359 --> 00:32:13.859
and when you actually start seeing the doctor,

00:32:14.059 --> 00:32:16.960
that's knowledge that's 15 years old. Yeah. When

00:32:16.960 --> 00:32:19.339
you ask a doctor for nutritional advice. still

00:32:19.339 --> 00:32:21.079
tell you the basics that they learned and it

00:32:21.079 --> 00:32:22.779
was taught to them by teachers quite a lot of

00:32:22.779 --> 00:32:24.900
time. You're learning something from 50 years

00:32:24.900 --> 00:32:26.960
ago without actually encompassing everything

00:32:26.960 --> 00:32:29.279
that has actually massively changed. People actually

00:32:29.279 --> 00:32:31.339
found a lot of research on it and then a lot

00:32:31.339 --> 00:32:33.420
of research on it. But when you talk about that

00:32:33.420 --> 00:32:35.640
model, you just sucked it up and you incorporate

00:32:35.640 --> 00:32:38.539
that into chat GPT or whatever it might be. It's

00:32:38.539 --> 00:32:40.339
transformative. They can just say, look, the

00:32:40.339 --> 00:32:43.140
latest research actually shows that you shouldn't

00:32:43.140 --> 00:32:45.240
eat frozen food all the time and fast food is

00:32:45.240 --> 00:32:47.170
actually not that good for you. trying some more

00:32:47.170 --> 00:32:49.269
vegetables and stuff like that. And here's why.

00:32:49.329 --> 00:32:51.910
Um, so it's actually quite powerful that isn't

00:32:51.910 --> 00:32:54.410
it? Absolutely. Well, look, look, I, I grew up

00:32:54.410 --> 00:32:57.910
in the 1990s and what are the eighties and nineties.

00:32:57.930 --> 00:33:01.309
It was a time of the, uh, like the snack well

00:33:01.309 --> 00:33:02.869
generation. I don't know if you know what these

00:33:02.869 --> 00:33:05.390
were, but basically this was a time where fat

00:33:05.390 --> 00:33:08.369
was like fat, fat was evil. Fat would make you

00:33:08.369 --> 00:33:11.589
fat was the belief. There are cookies that they

00:33:11.589 --> 00:33:14.500
would remove all of the all of the fat and just

00:33:14.500 --> 00:33:16.420
throw more sugar into these things. More and

00:33:16.420 --> 00:33:18.339
more sugar. Like there's fat free this, fat free

00:33:18.339 --> 00:33:20.819
this, whatever else. And like, and look, these

00:33:20.819 --> 00:33:23.339
things get locked. Even if you're not a, you

00:33:23.339 --> 00:33:24.900
know, even if you're not in medical school, just

00:33:24.900 --> 00:33:27.759
for like, as a citizen, to just be able to say,

00:33:27.900 --> 00:33:30.299
hey, you know, based on the latest research,

00:33:30.539 --> 00:33:32.500
like based on what we know today, what do you

00:33:32.500 --> 00:33:34.740
think about my diet? I'm going to just log what

00:33:34.740 --> 00:33:36.619
I eat for a week. Like, what could I be doing

00:33:36.619 --> 00:33:39.779
better on that? Like, there's so much value in

00:33:39.779 --> 00:33:43.919
that. Just to have, like, and for a doctor, It's

00:33:43.919 --> 00:33:47.140
impossible to keep up with all of the latest

00:33:47.140 --> 00:33:49.960
research and publications. Like physically, no

00:33:49.960 --> 00:33:51.660
one would have the time to read through all that,

00:33:51.799 --> 00:33:54.460
but an AI could. And if I'm a doctor that just

00:33:54.460 --> 00:33:57.900
has an AI in my ear and or in the room and I'm

00:33:57.900 --> 00:34:00.940
talking to a patient and after that, or at the

00:34:00.940 --> 00:34:02.940
end of the day, I might say, Hey, like anything

00:34:02.940 --> 00:34:05.460
like I can improve on and what I'm saying, well,

00:34:05.859 --> 00:34:08.019
like, Hey, you actually told, you know, you told

00:34:08.019 --> 00:34:10.980
Mike. that this, well, actually most of the research

00:34:10.980 --> 00:34:12.880
today is actually pointing in a different direction.

00:34:13.679 --> 00:34:15.519
Do you want me to tell you more about that? And

00:34:15.519 --> 00:34:18.219
like, those are amazing types of tools that would

00:34:18.219 --> 00:34:20.380
be available. Like again, some people might find

00:34:20.380 --> 00:34:21.800
that threatening, like, well, what does this

00:34:21.800 --> 00:34:24.119
computer know? Well, the computer has access

00:34:24.119 --> 00:34:26.840
to all the world's knowledge, where we as humans

00:34:26.840 --> 00:34:29.840
would never be able to access that. So I hope

00:34:29.840 --> 00:34:32.960
we can use these for good, and medicine, just

00:34:32.960 --> 00:34:35.019
like what you're striving for. It's funny, I

00:34:35.019 --> 00:34:36.679
was just thinking about the tic -tacs, right?

00:34:36.760 --> 00:34:39.260
Those little small mints. And apparently they

00:34:39.260 --> 00:34:43.059
classify it as zero calories. Because anything

00:34:43.059 --> 00:34:45.539
in the US that has less than two calories is

00:34:45.539 --> 00:34:47.179
literally, it's fine. You can eat it because

00:34:47.179 --> 00:34:49.380
they don't classify it as a calorie. But if you

00:34:49.380 --> 00:34:51.539
get the whole package, see, that has a lot of

00:34:51.539 --> 00:34:53.860
sugar. But it's technically zero calories in

00:34:53.860 --> 00:34:56.139
as many as you want. Is that 100 % accurate?

00:34:56.219 --> 00:35:00.480
Probably not. No, that's hilarious. Yeah, you

00:35:00.480 --> 00:35:03.539
round down. And it's zero and the serving size

00:35:03.539 --> 00:35:05.480
is one, which of course nobody does. And then

00:35:05.480 --> 00:35:07.219
you just eat the whole package of them. And you're

00:35:07.219 --> 00:35:09.039
like, oh yeah, it was, it was free calories.

00:35:09.760 --> 00:35:14.539
I'm putting on weight every day. So it's basically

00:35:14.539 --> 00:35:16.460
things like that actually make a big difference.

00:35:17.000 --> 00:35:18.800
Um, I always enjoy asking this question, which

00:35:18.800 --> 00:35:21.440
is what's the latest book you read? Or the most

00:35:21.440 --> 00:35:24.739
impactful book you read. Oh, it's actually, it's,

00:35:24.739 --> 00:35:26.460
it's really funny. You said that because I'm,

00:35:26.500 --> 00:35:29.920
um, I'm going to get two, an AI one and a non

00:35:29.920 --> 00:35:33.329
AI one. For AI, I'm actually writing an article

00:35:33.329 --> 00:35:36.130
right now, which I'll release next week on, um,

00:35:36.230 --> 00:35:38.949
my favorite AI books of 2024. I actually got

00:35:38.949 --> 00:35:42.170
one right here. So, so I visual aid, you didn't

00:35:42.170 --> 00:35:43.469
know I was going to have that, but I happen to

00:35:43.469 --> 00:35:46.570
have it handy. So co -intelligence by Ethan Smollick.

00:35:46.869 --> 00:35:49.349
Ethan does the best blog, I think, out there.

00:35:49.449 --> 00:35:51.530
He's a professor at Wharton, does the best blog

00:35:51.530 --> 00:35:55.710
on AI. And if you're in the world of AI, like

00:35:55.710 --> 00:35:58.570
me, I took a lot out of his book. There's so

00:35:58.570 --> 00:36:01.280
much great information. But he also explains

00:36:01.280 --> 00:36:05.119
things in very readable, human, simple terms.

00:36:05.659 --> 00:36:08.280
Like, so just really powerful, impactful. Like

00:36:08.280 --> 00:36:12.039
if you're to read one AI book, Co -Intelligence

00:36:12.039 --> 00:36:16.440
by Ethan is just phenomenal. The other one I'll

00:36:16.440 --> 00:36:19.119
recommend, totally not related to AI, is called

00:36:19.119 --> 00:36:22.300
Same As Ever by Morgan Housel. It came out last

00:36:22.300 --> 00:36:27.320
year and I just decided, so I read it again recently.

00:36:27.480 --> 00:36:28.699
I'm like, I think I'm just going to read this

00:36:28.699 --> 00:36:31.079
book every year. Just because there's so much

00:36:31.079 --> 00:36:33.360
in it, like the stories he tells are amazing.

00:36:33.920 --> 00:36:37.039
Effectively, it's the story of the book and the

00:36:37.039 --> 00:36:40.480
thesis of the book is people don't change. Like

00:36:40.480 --> 00:36:43.280
what we do, our motivations, all of these things

00:36:43.280 --> 00:36:46.360
that we think are new, the desires we have, like

00:36:46.360 --> 00:36:48.199
all of these things just been around forever.

00:36:48.840 --> 00:36:50.780
And as you start to kind of look at the patterns

00:36:50.780 --> 00:36:53.519
of this, the world and especially the future.

00:36:53.710 --> 00:36:56.269
makes more sense like he always says like if

00:36:56.269 --> 00:36:57.949
you want to be able to predict the future you

00:36:57.949 --> 00:37:00.510
should read history and you know these are the

00:37:00.510 --> 00:37:03.650
kind of things and and same as ever is an amazing

00:37:03.650 --> 00:37:07.250
amazing book he's a great great writer as well

00:37:07.250 --> 00:37:10.010
really great stories like thank you so much for

00:37:10.010 --> 00:37:12.010
timing for these wonderful recommendations it's

00:37:12.010 --> 00:37:14.010
been a great a pleasure having you on the podcast

00:37:14.010 --> 00:37:16.030
ricardo and this is a lot of fun thanks for having

00:37:16.030 --> 00:37:20.010
me thank you all right the podcast is also sponsored

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by notion .so Notion is offering 6 months for

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free for new users. Make sure you check out our

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website thestarupevents .co .uk to read them

00:37:28.239 --> 00:37:31.119
this offer. This podcast is also sponsored by

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