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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Today's episode is sponsored by Hyperskill. Hyperskill

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is a learning and training platform that enables

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people from all over the world to learn new tech

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skills. If you're looking to learn new tech skills,

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this is the platform to choose. You can find

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out more about them on hyperskill .org. Today

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we are joined by Elon Buckner. one of the godfathers

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of AI. Ellen, thank you so much for being here

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and being one of our guests in the podcast. If

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you'd like to introduce yourself to the audience,

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please. Sure, let's see. I've had about a 30

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-year career. I co -founded and sold a software

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company to Thomson Reuters. I was a hedge fund

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portfolio manager. I built a practice selling

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AI to asset managers, consulting practice. I

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spent three, four years in big tech at Microsoft

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and Google. I was most recently head of AI at

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a company called Factset. And just recently left

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about a month, month and a half ago to explore

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a startup project. I have so many questions lined

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up, it's absolutely crazy. So one of the things

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we normally like to ask in the podcast, it's

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about your own journey as an entrepreneur. So

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how hard was it, because you sold the company

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a couple of years ago, so how hard was it to

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get started, get funding, get any funding? So

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do you want to tell us a bit more about that

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journey? Because you are a very successful entrepreneur,

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right? Not everyone can actually go through an

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exit and an exit to Thompson. Thompson writer,

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right? So it's it's not an easy thing. So you

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want to tell us a bit more about that? Thank

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you, Ricardo. You know, every every journey,

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entrepreneurial journey that I have is completely

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different. I haven't cracked the code yet. But

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I can tell you about my first one. And it was

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it was pretty amazing. I was I was a couple of

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years out of college. And I got together with

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a few a few contacts through Family Connection.

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and they were just getting started. It was basically

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me and maybe one or two other co -founders. We

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were just in an empty office and we were trying

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to figure out what to do. We started out bootstrapping.

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The bootstrapping recipe that I'm familiar with

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is to do consulting. Back then, my background

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was in web design. I had worked for this early

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web design leader called agency .com. They did

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the first website for American Express and for

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Itachi and for a few other major brands. And

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my partner came from Microsoft. He was pretty

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senior in the consulting organization there.

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And our idea was that we would make something

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that merges the beauty of web design and the

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software depth of you know, the Microsoft way

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of building software. This was back in like 1994,

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95. And we would try to kind of build websites

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that are not just skin deep, but actually functional.

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And that worked out pretty well. You know, we

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got the first few clients through just outreach

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to our networks. And then we actually connected,

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we partnered with the Microsoft consulting organization,

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which Just by way of background, back then and

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still now, consulting is a very small part of

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Microsoft's business. They don't really especially

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like to do consulting. It's less profitable than

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building software. Back then, demand for Microsoft

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was booming just after Windows 95 was released

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and all this other stuff. The consulting organization

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in New York, was just getting hammered. There

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was just way, way too many requests. And so we

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were like the Statue of Liberty. There's a plaque

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on the Statue of Liberty that says, give me your

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poor and wretched masses. So we said, give me

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all your clients that don't pay the bills. They

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have unreasonable expectations. They are paying

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to work with, there's scope creep, all the ones

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that you don't like working with, and you will

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never hear from them again. That was our pitch.

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And it worked. We got a couple of referrals from

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Microsoft Consulting, and we took care of them.

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And that became kind of the early start to our

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business. And then over time, it turned out that

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a couple of our clients requested substantially

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the same thing. And that thing was... Anyway,

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so it was my role to... I basically, I noticed

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it, I wrote a memo about it and I said, you know

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what, we can keep doing consulting but it would

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be even better if we had a product because that

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would be a nice compliment to our business and

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it would be really cool to build it and it would

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be profitable. And so I guess became the product

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person and I took that product from the memo

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to where it became something like 70 % of the

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revenue of the company and the reason why we

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got acquired. that product would you know it

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would now be called social networking but back

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then there's no such thing that label didn't

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exist so we called it Bolton boards or community

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and there's also no software as a service we

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shipped it as a CD. I remember those, I remember

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CD -ROMs. That's right so you pop the CD on your

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server and you get all these features and it

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was a lot cheaper than having to sort of build

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those things yourself. Like the moment that we

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hit real sort of product market fit, it was kind

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of interesting because, you know, we were, it's

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not that we were limping along, but we were chugging

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along, it wasn't anything special. And then,

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you know, the dot com wave hit, all these companies

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raised money. And you raise money, the VC tells

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you there's a checklist of things you have to

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do. And usually, Number two or three item on

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that checklist is build a community around your

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website or around whatever you do. You need a

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community around. And so back then, there was

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just no software to do that. And our pitch to

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all of these entrepreneurs was we'll help you

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take number three off your checklist and you'll

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spend, say, a quarter of a million dollars instead

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of one million dollars. And you'll spend like

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30 days instead of six months to build it. It's

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going to work better than whatever you're going

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to build in six months. It was super expensive,

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right? Yeah, it was enterprise -grade software,

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and it was built to scale. So some of our clients,

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our software powered... When CNBC launched their

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website, their first website, and they had discussions

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about stocks, that was using our software. So

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it was maybe 20 ,000 discussion boards about

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each security. When Healthy on WebMD launched

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and they had discussions with doctors online

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that was using our software. So we tried to build

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software that was really high quality, that would

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scale quite a bit, would be fast. So that's an

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incredible story because I think people can only

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aspire to have been there when it was kind of

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exploding, right? So just before the dot -com

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and then catching all the dot -com, and then

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the massive explosion that happened and then

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everyone would kind of I wouldn't say started

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having a personal computer but they did start

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having access to the internet and started using

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the internet quite a lot right in the beginning

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of 2000 so it's really the time to be alive I

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guess and how right now I know you're quite active

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in the AI how did you transition from you know

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having your own company then selling the company

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and then how do you progress towards AI because

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It's not new for you. You haven't been in the

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space for much, much longer than anyone else

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talking about it. So how did it happen? I got

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my start working on AI about 20 years ago or

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so. And I was working for this consulting company

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that was in two lines of business. One of them

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was management consulting, strategy consulting.

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They recruited me right out of business school

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for that kind of business. And the other line

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of business was what they called data mining.

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And it turned out that they were, you know, we

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were okay at strategy consulting. We would compete

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with, I don't know, McKinsey, Bain, et cetera.

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We were a little bit cheaper. But the work that

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this company was doing in data mining was five,

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10 years ahead of its time. And so I was hired

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for business number one, and I switched to business

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number two as soon as I could because I was just

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shocked and amazed at what they were doing. And

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back then, there were no language models. The

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work was done in SAS. And everything was really

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slow. I started building marketing and risk models

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for one of our biggest clients was American Express.

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So American Express, it's not that they didn't

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use any math. It's that before we came on the

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scene, they would use, let's say, to make a decision

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about whether to give you a line of credit or

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not, they would use a really simple model, like

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linear regression or logistic regression or something

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like that. And we came in in the early aughts,

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early 2000s, and we basically brought forward,

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so linear regression was invented, I don't know,

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in 18 whatever 1870s 1860s was used by some statisticians

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maybe even older than that logistic regressions

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from the 1960s and American Express in like in

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the year 2000 they were using like 40 to 140

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year old technology and we came in and we proposed

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new modeling techniques that had been invented

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in like 1998 and so it was it was like shooting

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fish in a barrel it was just It was bringing

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a tank to a knife fight. It was completely unfair.

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The new techniques worked way better than the

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new regression. So they were able to get much

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better statistical results for all sorts of decisions

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like who should get credit, how much credit should

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they get, who do you target the marketing proposal

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to, who should get to the front of the queue

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when they call for help, all sorts of resource

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allocation decisions. It was an eye -opener for

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me. I was just, I mean, I was talking to customers.

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I was during the day and I was learning the math

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at night and I was having a lot of fun. And then

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it turned out that the business of strategy consulting,

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at least my perspective of it, shifted, and the

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perspective of my clients, shifted from the traditional

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management consulting is top -down. Your client

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asks you the big question, what should our strategy

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be over the next five years? And you start by

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researching the world, researching the market,

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researching this client. And you identify a couple

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of themes or a couple of really big ideas. And

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then you drill down into how to do them. And

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you drill down into what do they mean for this

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business and for that business and for the third

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business. And then you translate that into kind

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of a marching orders, like how do you execute

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it month by month, et cetera. So that is, to

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me, that is like classic top down pyramid principle

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management consulting. And I found that the paradigm

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had shifted from that to sort of bottom up strategy

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consulting. What is bottom up strategy consulting?

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You don't start by asking like big questions

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out of Wikipedia or out of like secondary research.

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You start by interrogating the data. What does

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the data say? And the data will, so first you

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figure out, you collect the data if you don't

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have it, or you buy it. And you interrogate it.

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And then you, you know, the data gives you some

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hypotheses, you validate them. Once you have

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some hypotheses, then you do the rest of it.

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Figure out, you know, how to use them. And I

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found that model of consulting to be so much

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more satisfying than doing sort of top -down

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research, because when I would get questioned

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on something, I'd have backup, there'd be some,

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you know, I'm a numbers guy, there'd be some

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scientific basis for what I'm saying. Now it's

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not always the right, it's not the only right

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answer, it's not the only way to do it, but it's

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a way that really worked for me and it worked

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for more and more of my clients and so I learned

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that way of thinking at this company and then,

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you know, after the company, that the company

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grew, got acquired, I left and I started doing

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some of my own consulting and this was the way

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that served me. But you know, Ricardo, I've been

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doing this for 20 years and I have never seen,

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like what's been happening in AI over the last

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year has just been completely different from

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the last, the 19 years preceded that. I was just

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about to ask you about that because it feels

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that people... You know everyone's talking about

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AI now and rightfully so but they don't actually

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realize there has been a lot of growth up until

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this stage right now is just the point is just

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the tip of the iceberg there's actually quite

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a big chunk of ice underneath you know the waves

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so I was just about to ask you what do you think

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is happening now how do you see this how impactful

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do you think the current evolution of AI is for

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for everything that we do? You know I can tell

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you that the feeling that I get from being in

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this moment, I feel really fortunate. And it's

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very similar to the feeling that I remember having

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in like 1995 working in an internet company.

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I mean, it's really exciting. And at the same

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time, it feels so, so early. It feels like we're

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trying to build these things. We're excited about

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these new capabilities. But there's so much left

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to do. There's just this wide, wide open space,

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and we're just at the tip of the iceberg. It's

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not even the first inning. It's like the first

00:15:05.929 --> 00:15:08.110
five minutes of the game. That's what it feels

00:15:08.110 --> 00:15:13.049
like to me. But in terms of what actually happened,

00:15:13.190 --> 00:15:16.230
I don't have an especially contrarian view. I

00:15:16.230 --> 00:15:20.309
think the fact that ChatGPT is the fastest growing

00:15:20.309 --> 00:15:23.909
product in history and suddenly unlocked all

00:15:23.909 --> 00:15:26.389
of these capabilities and showed that you could

00:15:26.389 --> 00:15:29.309
just You could just throw some more data and

00:15:29.309 --> 00:15:32.210
compute at this problem and get a magic moment.

00:15:32.470 --> 00:15:36.110
And now that toothpaste is out of the tube and

00:15:36.110 --> 00:15:39.610
lots of other people are able to replicate parts

00:15:39.610 --> 00:15:42.730
of it. It's very, very exciting. It feels like

00:15:42.730 --> 00:15:48.029
to me, it feels at least as impactful as the

00:15:48.029 --> 00:15:51.629
creation of the internet. And maybe at least

00:15:51.629 --> 00:15:54.210
as impactful as maybe even bigger than that.

00:15:54.210 --> 00:15:56.980
Maybe it's electricity, maybe it's fire. but

00:15:56.980 --> 00:15:59.419
I'm quite quite optimistic about it. I think

00:15:59.419 --> 00:16:02.080
it's going to be a new revolution, the same way

00:16:02.080 --> 00:16:04.059
we had all these revolutions throughout history.

00:16:04.799 --> 00:16:07.519
I think we're at that stage where everything's

00:16:07.519 --> 00:16:09.980
going to change and rightfully so and for the

00:16:09.980 --> 00:16:17.000
best. I was listening to a famous podcast the

00:16:17.000 --> 00:16:19.019
other day and he was saying it's the same change

00:16:19.019 --> 00:16:23.059
we watch when people transition from having horses

00:16:23.059 --> 00:16:25.860
everywhere to having automobiles. And that happened

00:16:25.860 --> 00:16:28.639
overnight, right? It was night and day. And I

00:16:28.639 --> 00:16:29.960
think that's probably what's going to happen

00:16:29.960 --> 00:16:33.059
with this type of AI. Shouldn't we be concerned?

00:16:33.820 --> 00:16:35.399
Because there's a lot, you know, if you read,

00:16:35.399 --> 00:16:37.600
I don't know, those type of weird newspapers

00:16:37.600 --> 00:16:39.440
and say, Oh my God, AI is coming to take your

00:16:39.440 --> 00:16:41.960
job in this. But to be honest, I think we're

00:16:41.960 --> 00:16:43.279
at that stage where it's actually quite good.

00:16:43.399 --> 00:16:44.700
But should we be concerned? What do you think?

00:16:45.820 --> 00:16:47.759
Yeah, it's a really good question. I actually

00:16:47.759 --> 00:16:50.820
guess that a lot, Ricardo. So I think that there

00:16:50.820 --> 00:16:54.399
are there are two future scenarios that could

00:16:54.399 --> 00:16:57.379
cause concern. And I think that they're actually

00:16:57.379 --> 00:16:59.399
very, very different from each other. And one

00:16:59.399 --> 00:17:04.500
really is or assuming one isn't. So the first

00:17:04.500 --> 00:17:08.460
one is AI is gonna take my job. That is a very

00:17:08.460 --> 00:17:12.359
concerning future scenario. The second one is

00:17:12.359 --> 00:17:17.720
AI is gonna take my freedom. So I actually think

00:17:17.720 --> 00:17:20.460
that the first scenario where AI is gonna take

00:17:20.460 --> 00:17:24.450
my job That is, it looks really concerning, it

00:17:24.450 --> 00:17:26.829
sounds really scary, but I actually think that

00:17:26.829 --> 00:17:30.150
that is the utopian scenario. There are a lot

00:17:30.150 --> 00:17:35.109
of jobs that I wish AI would take. There are

00:17:35.109 --> 00:17:38.269
a lot of people that are doing jobs that are

00:17:38.269 --> 00:17:41.109
just gonna be better done by a computer, and

00:17:41.109 --> 00:17:44.009
they're not gonna be jobs for humans anymore.

00:17:45.690 --> 00:17:47.890
Those humans are gonna be much happier not doing

00:17:47.890 --> 00:17:52.000
those jobs. I think also that when people are

00:17:52.000 --> 00:17:54.500
looking at that first scenario of AI is going

00:17:54.500 --> 00:17:59.619
to take my job, they stop visualizing it at the

00:17:59.619 --> 00:18:03.000
moment that the job is lost. But I don't think

00:18:03.000 --> 00:18:05.220
they fully appreciate all of the knock -on effects.

00:18:06.000 --> 00:18:09.359
So if AI takes all of these jobs, that means

00:18:09.359 --> 00:18:12.140
that it's going to be able to do these jobs better

00:18:12.140 --> 00:18:15.420
and cheaper. That means that the things that

00:18:15.420 --> 00:18:17.859
these jobs produce are going to become so much

00:18:17.859 --> 00:18:21.309
better and cheaper. So imagine that you need

00:18:21.309 --> 00:18:23.130
a proofreader, or you need a lawyer, you need

00:18:23.130 --> 00:18:27.569
an editor for this podcast, or a booker to help

00:18:27.569 --> 00:18:30.670
you find guests so you can do a little bit better

00:18:30.670 --> 00:18:34.289
than me next time. I thought we were going to

00:18:34.289 --> 00:18:36.990
do any better than you, and I think we've reached

00:18:36.990 --> 00:18:40.089
the pinnacle of the highest quality guests ever.

00:18:40.549 --> 00:18:43.569
Thank you, Ricardo. But you can imagine how,

00:18:43.569 --> 00:18:46.690
as an entrepreneur, you consume all of these

00:18:46.690 --> 00:18:49.630
services. Maybe you do them yourself, maybe as

00:18:49.630 --> 00:18:52.569
you grow, you'll decide to outsource them. So

00:18:52.569 --> 00:18:55.069
today, your option is basically outsource it

00:18:55.069 --> 00:18:57.329
to a human and hopefully they're good at what

00:18:57.329 --> 00:19:00.369
they do. And imagine that in that future, and

00:19:00.369 --> 00:19:02.650
maybe this future is not so far away, you can

00:19:02.650 --> 00:19:04.990
actually outsource it to a machine. That machine

00:19:04.990 --> 00:19:06.869
does a really good job of booking guests for

00:19:06.869 --> 00:19:11.470
you. That means that there's going to be the

00:19:11.470 --> 00:19:14.349
quality of your podcast goes up, the cost of

00:19:14.349 --> 00:19:16.789
producing it goes down. You get to keep more

00:19:16.789 --> 00:19:20.009
money from All the other sources of revenue that

00:19:20.009 --> 00:19:22.309
you have the reason why you do this podcast whether

00:19:22.309 --> 00:19:25.509
it's advertising or you know your other businesses

00:19:25.509 --> 00:19:30.150
and so All the services that you consume get

00:19:30.150 --> 00:19:33.630
cheaper. You will feel richer. You will be richer

00:19:33.630 --> 00:19:36.970
And it's not just you it's like everybody that's

00:19:36.970 --> 00:19:39.410
consuming all of these white -collar services,

00:19:39.410 --> 00:19:42.349
you know professional services architects and

00:19:42.349 --> 00:19:45.869
lawyers and designers and programmers and all

00:19:45.869 --> 00:19:49.960
these things become cheap so To me, if you zoom

00:19:49.960 --> 00:19:53.220
out on that society, it means that all the things

00:19:53.220 --> 00:19:56.460
that we need become really cheap. So we will

00:19:56.460 --> 00:20:00.160
feel very rich. Just imagine you're now a billionaire

00:20:00.160 --> 00:20:03.880
and all these things that you want to buy, they

00:20:03.880 --> 00:20:06.160
don't mean anything. The prices don't mean anything

00:20:06.160 --> 00:20:08.519
to you. You can afford as much as you want. And

00:20:08.519 --> 00:20:11.319
so I think that that's a world where there's

00:20:11.319 --> 00:20:14.779
huge deflation. The prices of lots of goods and

00:20:14.779 --> 00:20:17.000
services drop because the AI is doing them more

00:20:17.000 --> 00:20:19.640
efficiently. If there's so much deflation, that

00:20:19.640 --> 00:20:22.920
means basically we all feel richer, even if we

00:20:22.920 --> 00:20:26.079
don't make the numbers might not be higher. It's

00:20:26.079 --> 00:20:28.480
not like my income went up, but my expenses went

00:20:28.480 --> 00:20:31.980
down. And so I feel richer and I am richer. And

00:20:31.980 --> 00:20:35.039
I think in that world, just fewer people need

00:20:35.039 --> 00:20:41.319
to work. So in that world, I think that those

00:20:41.319 --> 00:20:46.819
people who lost their jobs, maybe they'll find

00:20:46.819 --> 00:20:50.160
other jobs, you know, developing, you know, something

00:20:50.160 --> 00:20:53.720
that's higher value. Some of them will become,

00:20:53.720 --> 00:20:56.819
you know, maybe engineering. Instead of being

00:20:56.819 --> 00:20:59.519
a lawyer, you might be an engineer training law

00:20:59.519 --> 00:21:02.319
chatbots or something like that. But it's not

00:21:02.319 --> 00:21:05.180
necessarily like not everybody's going to switch.

00:21:05.359 --> 00:21:08.339
Some people will become artists because whatever,

00:21:08.339 --> 00:21:10.539
you know, basically whatever change they have

00:21:10.539 --> 00:21:13.359
left in their pocket is enough to live on. And

00:21:13.359 --> 00:21:16.150
as a society, I also think that we'll be able

00:21:16.150 --> 00:21:17.970
to afford to support these people because we

00:21:17.970 --> 00:21:20.549
will have so much because all these things become

00:21:20.549 --> 00:21:24.109
cheaper. So I think that world is a world where

00:21:24.109 --> 00:21:26.789
there's going to be something like universal

00:21:26.789 --> 00:21:29.069
basic income and we'll just be able to take care

00:21:29.069 --> 00:21:31.430
of all these people. It's not going to be a problem.

00:21:31.970 --> 00:21:34.430
That is one of those that you never know how

00:21:34.430 --> 00:21:37.710
it's going to go, right? But I was just thinking

00:21:37.710 --> 00:21:40.690
about something that people being scared about

00:21:40.690 --> 00:21:42.990
all this transformation and how it's going to

00:21:42.990 --> 00:21:45.440
impact. I think people fail to realize that they

00:21:45.440 --> 00:21:48.660
can actually upskill themselves by using AI.

00:21:49.599 --> 00:21:51.960
For example, think about tutoring and you're

00:21:51.960 --> 00:21:53.400
in school, you're trying to learn something,

00:21:53.519 --> 00:21:56.380
the teachers are not that good. Nowadays, you

00:21:56.380 --> 00:21:57.839
can probably go on YouTube, you can probably

00:21:57.839 --> 00:21:59.640
go on Google and find the right information,

00:21:59.819 --> 00:22:01.960
but it never really does explain it to the level

00:22:01.960 --> 00:22:04.720
detail you need to. However, on ChatGPT, it will

00:22:04.720 --> 00:22:06.640
tell you exactly what you need to do, how you

00:22:06.640 --> 00:22:10.299
need to do it. It just opens up possibilities,

00:22:10.339 --> 00:22:13.000
right? It's a bit like having access to books

00:22:13.000 --> 00:22:15.839
in the 15th century for the printing press You'll

00:22:15.839 --> 00:22:18.319
be the same thing the same change, right? So

00:22:18.319 --> 00:22:20.759
it's really like that regard I would say it's

00:22:20.759 --> 00:22:23.920
like going from a world where you have access

00:22:23.920 --> 00:22:26.599
to books To a world where you have access to

00:22:26.599 --> 00:22:29.779
a tutor like a really good tutor that knows you

00:22:29.779 --> 00:22:31.980
The tutor knows what you like and what you don't

00:22:31.980 --> 00:22:34.619
like, you know, whether you like maybe you like

00:22:34.619 --> 00:22:37.970
learning by reading or by listening or by watching

00:22:37.970 --> 00:22:40.309
things. And it knows what you're strong at and

00:22:40.309 --> 00:22:42.690
what you're weak at. And it basically helps you.

00:22:42.910 --> 00:22:46.130
It's a personalized tutor. So that personalized

00:22:46.130 --> 00:22:48.589
tutor is, you know, it's very expensive in the

00:22:48.589 --> 00:22:51.470
pre -AI world. Only a few people can afford one.

00:22:51.849 --> 00:22:53.549
But in the post -AI world, you know, everybody

00:22:53.549 --> 00:22:56.390
could, you know, learn that way and yeah, can

00:22:56.390 --> 00:22:58.990
be very effective. Now we were talking about

00:22:58.990 --> 00:23:01.650
some of the dangers of AI which is also a very

00:23:01.650 --> 00:23:03.890
hot topic So what do you think will be like in

00:23:03.890 --> 00:23:06.289
terms of the government's using it and every

00:23:06.289 --> 00:23:08.789
being? Everyone being repressed and we have killer

00:23:08.789 --> 00:23:10.390
robots walking down the street, which by the

00:23:10.390 --> 00:23:15.309
way, it's completely People are absolutely crazy

00:23:15.309 --> 00:23:17.089
when I say that but what do you think? Those

00:23:17.089 --> 00:23:18.509
are some of the things we should be concerned

00:23:18.509 --> 00:23:20.849
about because there is quite a lot of capabilities

00:23:20.849 --> 00:23:23.049
and I know some of it But I'm pretty sure you

00:23:23.049 --> 00:23:25.410
know a lot more about it than I do. Should we

00:23:25.410 --> 00:23:28.059
be concerned about it or not at all? You know,

00:23:28.059 --> 00:23:30.079
Ricardo, I may be one of those crazy people.

00:23:30.240 --> 00:23:33.059
I am pretty concerned about it, actually. So

00:23:33.059 --> 00:23:35.220
when we talked about the two scenarios before,

00:23:35.720 --> 00:23:38.200
where the first scenario is AI takes my job,

00:23:38.779 --> 00:23:41.339
and the other scenario is AI takes my freedom,

00:23:41.859 --> 00:23:44.480
I'm really, really worried about that scenario.

00:23:44.619 --> 00:23:47.420
There's a couple of different ways that AI can

00:23:47.420 --> 00:23:53.400
be used to take our freedom. No, the simplest

00:23:53.400 --> 00:23:55.660
way to think about it is the like the terminator

00:23:55.660 --> 00:23:58.420
scenario. So we all we've all seen the movies,

00:23:58.420 --> 00:24:01.299
you know, approximately, you know, approximately

00:24:01.299 --> 00:24:04.980
every future science fiction story about AI is

00:24:04.980 --> 00:24:07.819
a disaster story. And it's it's really scary.

00:24:08.440 --> 00:24:12.480
And working with this technology, I cannot tell

00:24:12.480 --> 00:24:15.339
you that it's like there's no way for it to happen.

00:24:15.460 --> 00:24:18.200
Like I cannot I can't push that probability down

00:24:18.200 --> 00:24:22.470
to zero. And it's it's very, very scary. Now,

00:24:22.789 --> 00:24:24.549
it's not like, you know, I'm not losing sleep

00:24:24.549 --> 00:24:27.829
over it, but I think that there's, you know,

00:24:27.930 --> 00:24:32.650
there's a real chance that it's called takeoff,

00:24:32.890 --> 00:24:35.630
where the capabilities of AI, you know, they

00:24:35.630 --> 00:24:37.630
kind of grow and grow and grow, and then they

00:24:37.630 --> 00:24:41.809
suddenly take off at a rate that is just too

00:24:41.809 --> 00:24:44.609
fast for the scientists to contain. I think that

00:24:44.609 --> 00:24:48.559
is, it's a real risk. I'm worried about it. And

00:24:48.559 --> 00:24:51.180
also, you know, even if you ignore takeoff, even

00:24:51.180 --> 00:24:54.279
if takeoff is too science fiction to think about,

00:24:54.740 --> 00:24:59.720
AI is the kind of technology where it's really

00:24:59.720 --> 00:25:05.079
asymmetrical. It's not like nuclear power, for

00:25:05.079 --> 00:25:07.859
example. So, you know, if you're worried about

00:25:07.859 --> 00:25:13.519
nuclear proliferation, to create a nuclear bomb

00:25:13.519 --> 00:25:16.539
requires the resources of a nation state. It's

00:25:16.539 --> 00:25:19.000
incredibly difficult. You need to set up this

00:25:19.000 --> 00:25:21.640
enrichment program. You need really high -grade

00:25:21.640 --> 00:25:23.900
scientists and equipment and all these. You have

00:25:23.900 --> 00:25:25.980
to buy these things that are not available for

00:25:25.980 --> 00:25:29.400
sale. And so it takes so much money and so much

00:25:29.400 --> 00:25:33.079
time that only a few countries in the world have

00:25:33.079 --> 00:25:34.779
been able to do it. And those countries have

00:25:34.779 --> 00:25:37.700
been able to contain this technology to some

00:25:37.700 --> 00:25:41.240
extent. It's not perfect either. AI is not like

00:25:41.240 --> 00:25:46.980
that. AI, as an individual, you can have a breakthrough.

00:25:47.900 --> 00:25:50.319
Like today, we're not too late. We're early enough

00:25:50.319 --> 00:25:52.940
in the process where an individual can publish

00:25:52.940 --> 00:25:55.559
a paper and invent something that nobody's ever

00:25:55.559 --> 00:25:59.940
thought of. And that thing significantly increases

00:25:59.940 --> 00:26:02.059
the capabilities of the state of the art of what

00:26:02.059 --> 00:26:04.299
you can do with AI. I can give you lots of examples

00:26:04.299 --> 00:26:07.460
of papers like that. But from a risk perspective,

00:26:08.660 --> 00:26:12.660
just imagine that a single scientist could invent

00:26:12.660 --> 00:26:15.309
something that makes I don't know, that makes

00:26:15.309 --> 00:26:18.329
nuclear bombs more destructive or more attainable.

00:26:19.250 --> 00:26:23.289
That would be scary, right? So with AI, it's

00:26:23.289 --> 00:26:25.769
not just that an individual can create a breakthrough

00:26:25.769 --> 00:26:28.930
to improve, to increase the power. It's also

00:26:28.930 --> 00:26:35.349
that training these large models and all of the

00:26:35.349 --> 00:26:38.029
infrastructure around AI is getting cheaper at

00:26:38.029 --> 00:26:43.890
a very, very fast rate. Yeah, so it's really

00:26:43.890 --> 00:26:46.150
asymmetrical. By the way, I should mention, these

00:26:46.150 --> 00:26:50.769
ideas are not mine. I read a book that I'd like

00:26:50.769 --> 00:26:54.210
to recommend to you and your viewers. The book

00:26:54.210 --> 00:26:57.869
is called The Coming Wave. It's written by Mustafa

00:26:57.869 --> 00:27:04.029
Suleiman, who is one of the co -founders of DeepMind,

00:27:04.930 --> 00:27:08.190
Google DeepMind. And it's mostly a book about

00:27:08.190 --> 00:27:12.500
what can go wrong. 10 % of the book are about

00:27:12.500 --> 00:27:20.759
what we can do about it Yeah, yeah, so so it's

00:27:20.759 --> 00:27:23.299
a it's a really it's a really interesting book

00:27:23.299 --> 00:27:26.700
in the last chapter of that book he talks about

00:27:26.700 --> 00:27:31.400
a framework for For defending against these these

00:27:31.400 --> 00:27:34.680
problems and it's You know, I'm not going to

00:27:34.680 --> 00:27:36.759
do it justice, but it's it's these concentric

00:27:36.759 --> 00:27:38.960
circles It's the way the way that you design

00:27:38.960 --> 00:27:42.819
any kind of security system is not a single barrier

00:27:42.819 --> 00:27:45.500
or single line of defense, but many. So that

00:27:45.500 --> 00:27:48.119
if you breach the external line of defense, you

00:27:48.119 --> 00:27:49.480
have the internal one, you have the internal

00:27:49.480 --> 00:27:54.319
one. It's like a bullseye. And so, again, I don't

00:27:54.319 --> 00:27:57.220
remember all of them, but one of them starts

00:27:57.220 --> 00:27:59.759
very, very close to the researchers. And it basically

00:27:59.759 --> 00:28:04.900
says that every model should have a built -in

00:28:04.900 --> 00:28:08.039
auditing system that describes what the model

00:28:08.039 --> 00:28:12.259
does and is available to not just the team researching

00:28:12.259 --> 00:28:14.259
it, but to other people that want to inspect

00:28:14.259 --> 00:28:17.720
that model. So it's kind of like, you know, you

00:28:17.720 --> 00:28:19.500
should be able to have like a little diagnostic,

00:28:19.559 --> 00:28:21.799
like you have a diagnostic port on your car.

00:28:21.980 --> 00:28:24.420
You know, you can plug in a USB or something.

00:28:24.940 --> 00:28:27.460
The car will tell you. All cars have it since

00:28:27.460 --> 00:28:29.440
then. All cars. Right. That's right. So the car

00:28:29.440 --> 00:28:32.440
will tell you kind of how it's feeling, you know,

00:28:32.440 --> 00:28:35.119
if some things are rusty, some things are according

00:28:35.119 --> 00:28:38.059
to spec or not. So what he suggests is there

00:28:38.059 --> 00:28:39.920
should be, and it's a standard port, like the

00:28:39.920 --> 00:28:43.519
same USB thing will work on any car and can read

00:28:43.519 --> 00:28:45.740
data and say cars have standardized on this.

00:28:46.039 --> 00:28:48.799
So he's suggesting that should be a diagnostic

00:28:48.799 --> 00:28:52.119
port on AI models. Whether that model is built

00:28:52.119 --> 00:28:57.440
by OpenAI or Anthropic or by WeChat, there should

00:28:57.440 --> 00:29:03.720
be a standard way to inspect them. Another wider

00:29:03.720 --> 00:29:08.380
sort of circle that he talks about is that all

00:29:08.380 --> 00:29:11.700
AI labs should run and publish their test results

00:29:11.700 --> 00:29:15.839
in a way that in a public place so that individual

00:29:15.839 --> 00:29:18.920
researchers can inspect those results and spot

00:29:18.920 --> 00:29:22.079
any kind of problem. So there would be like some

00:29:22.079 --> 00:29:24.400
kind of protocol, they publish it, and you and

00:29:24.400 --> 00:29:27.339
I can go check that removed data and see if we,

00:29:27.539 --> 00:29:30.900
you know, and that's transparency. So he basically

00:29:30.900 --> 00:29:33.400
has like, you know, six or seven or eight of

00:29:33.400 --> 00:29:35.279
these concentric circles and they go all the

00:29:35.279 --> 00:29:38.849
way from the individual team up to something

00:29:38.849 --> 00:29:41.849
that requires the society to make an investment.

00:29:42.890 --> 00:29:46.329
But I hope some of these things come true. I

00:29:46.329 --> 00:29:49.470
hope that these mechanisms get adopted. How do

00:29:49.470 --> 00:29:56.730
you prevent certain states from developing capabilities

00:29:56.730 --> 00:29:59.109
like this? Is there a way of controlling it or

00:29:59.109 --> 00:30:01.269
not at all? Because right now, as you're talking

00:30:01.269 --> 00:30:07.400
about nuclear nuclear technology, and we know

00:30:07.400 --> 00:30:10.539
there are certain constraints about getting uranium,

00:30:10.920 --> 00:30:13.299
getting plutonium, then reaching them, and we

00:30:13.299 --> 00:30:15.700
can track that by satellite, saying, okay, you

00:30:15.700 --> 00:30:17.759
have this, you came from that source, so forth,

00:30:17.779 --> 00:30:20.660
so on. How do we stop countries like, I'm going

00:30:20.660 --> 00:30:22.480
to give North Korea, I hope I never go to North

00:30:22.480 --> 00:30:24.319
Korea because then I won't be allowed in, I'll

00:30:24.319 --> 00:30:26.500
probably get stuck there, but how do we prevent

00:30:26.500 --> 00:30:30.240
countries like North Korea from creating capabilities

00:30:30.240 --> 00:30:35.900
that would So how do we solve that? Yeah, it's

00:30:35.900 --> 00:30:38.599
a serious question, Ricardo. I don't have an

00:30:38.599 --> 00:30:42.180
answer. I think that the only way to compel nation

00:30:42.180 --> 00:30:44.599
states to do something is through some kind of

00:30:44.599 --> 00:30:47.480
an international treaty and political pressure.

00:30:49.359 --> 00:30:52.940
There's no magic bullet here. Some of these things

00:30:52.940 --> 00:30:56.480
require very, very broad agreement and broad

00:30:56.480 --> 00:31:00.319
coalitions to make something happen, but not

00:31:00.319 --> 00:31:05.019
all of it. So there are some things that we can

00:31:05.019 --> 00:31:08.440
just start doing the right thing locally. And

00:31:08.440 --> 00:31:10.619
there are some things that just will require

00:31:10.619 --> 00:31:13.339
massive agreement and will probably take a while.

00:31:13.619 --> 00:31:17.720
In that sense, I think that this problem is not

00:31:17.720 --> 00:31:23.599
unlike the environmentalist movement. We have

00:31:23.599 --> 00:31:27.680
to take care of our planet. And how do we force

00:31:27.680 --> 00:31:30.299
the worst polluter to stop polluting? it's going

00:31:30.299 --> 00:31:32.880
to be really hard to force the worst polluter.

00:31:33.059 --> 00:31:35.400
But it doesn't mean that we should just like

00:31:35.400 --> 00:31:37.740
throw up our hands and say, well, if China is

00:31:37.740 --> 00:31:40.279
going to keep polluting in, you know, such and

00:31:40.279 --> 00:31:42.619
such province, it means that I don't have to

00:31:42.619 --> 00:31:45.500
worry about the environment at all. So you kind

00:31:45.500 --> 00:31:47.819
of you take whatever steps you can. You start

00:31:47.819 --> 00:31:49.960
with your own bed, right? You make your bed,

00:31:50.220 --> 00:31:52.660
keep your, you know, you lower your own carbon

00:31:52.660 --> 00:31:55.440
footprint, think personally, and then you think

00:31:55.440 --> 00:31:58.720
about your circle of friends. your local community

00:31:58.720 --> 00:32:02.000
and kind of grow from there but then the question

00:32:02.000 --> 00:32:05.420
would be because we can always the way we present

00:32:05.420 --> 00:32:07.859
ourselves and the way we organize ourselves it

00:32:07.859 --> 00:32:11.180
is done in respect with our values right and

00:32:11.180 --> 00:32:13.960
much more so however when we are living in a

00:32:13.960 --> 00:32:16.059
global society the other fellow might not have

00:32:16.059 --> 00:32:17.880
the same values and they might respect the same

00:32:17.880 --> 00:32:20.950
thing so it's a bit like going to war When you

00:32:20.950 --> 00:32:23.170
do go to war, you need to be aware that your

00:32:23.170 --> 00:32:25.650
enemy might not have the same rules of engagement.

00:32:25.910 --> 00:32:28.789
They will not comply with the Geneva Convention,

00:32:28.789 --> 00:32:30.910
for example. So they'll fight in a very dirty

00:32:30.910 --> 00:32:34.269
way. How do we stop this from happening? It creates

00:32:34.269 --> 00:32:37.710
this dilemma. It's going to be tricky, no? Yeah,

00:32:37.849 --> 00:32:39.109
it's definitely going to be tricky, Ricardo.

00:32:39.269 --> 00:32:43.690
I wish I had a quick answer for you. But I think

00:32:43.690 --> 00:32:47.890
that the stakes of solving this with AI are very,

00:32:47.890 --> 00:32:52.890
very high. Because if we don't get it right in

00:32:52.890 --> 00:32:56.549
warfare, then the risk is that there's going

00:32:56.549 --> 00:32:58.609
to be a war that doesn't follow the rules and

00:32:58.609 --> 00:33:00.910
it's really going to hurt the combatants in that

00:33:00.910 --> 00:33:06.750
war. If we don't get it right in AI, the risk

00:33:06.750 --> 00:33:12.990
is that there is AI takeoff or an AI weapon and

00:33:12.990 --> 00:33:15.950
it just wipes us out. I mean, I think it's an

00:33:15.950 --> 00:33:19.599
existential risk for the planet. It's not unlike

00:33:19.599 --> 00:33:23.700
global warming. Question on that. So there is,

00:33:23.700 --> 00:33:29.440
I guess, a gap right now between the online space

00:33:29.440 --> 00:33:31.779
and the actual physical capabilities of AI, right?

00:33:32.039 --> 00:33:36.829
We don't have robots yet. Do you think all these

00:33:36.829 --> 00:33:39.009
bad nation states will be able to produce, for

00:33:39.009 --> 00:33:41.529
example, killer robots or have that enough technology

00:33:41.529 --> 00:33:44.309
to actually disrupt this fully or resume very,

00:33:44.309 --> 00:33:46.569
very far away? Because if we look at that company,

00:33:46.589 --> 00:33:49.009
what's it called? Boston Dynamics? Is it Boston

00:33:49.009 --> 00:33:52.569
Dynamics? All those advanced robots? So when

00:33:52.569 --> 00:33:55.109
I think of, okay, let's incorporate AI here,

00:33:55.410 --> 00:33:57.930
it's actually quite powerful. But then I also

00:33:57.930 --> 00:33:59.369
know that the country's not having it. So that

00:33:59.369 --> 00:34:01.730
makes me feel a little bit safer at night. Do

00:34:01.730 --> 00:34:04.190
you think that that transition will be easy or

00:34:04.190 --> 00:34:06.940
not? No, it definitely won't be easy and also

00:34:06.940 --> 00:34:09.619
I think we're I'm getting a little bit away from

00:34:09.619 --> 00:34:13.260
my expertise. So I Most of the work that I've

00:34:13.260 --> 00:34:17.420
been doing has been for Commercial AI, you know

00:34:17.420 --> 00:34:20.280
in the business world and it's mostly been with

00:34:20.280 --> 00:34:23.559
text So I haven't had a lot of personal experience

00:34:23.559 --> 00:34:27.880
with robots for weapons But I can tell you that

00:34:27.880 --> 00:34:33.969
you know Autonomous weapons AI weapons that have

00:34:33.969 --> 00:34:37.309
the, they can actually make the decision to pull

00:34:37.309 --> 00:34:40.170
the trigger. They exist. They, you know, several

00:34:40.170 --> 00:34:42.690
nations have them, including the US. And it's

00:34:42.690 --> 00:34:46.650
a really, it's a really scary thing. And there's,

00:34:46.670 --> 00:34:51.269
there's this, you know, the arms race is pushing

00:34:51.269 --> 00:34:55.329
a lot of the participants to be ever less careful

00:34:55.329 --> 00:34:59.010
and put ever more powerful weapons into the field.

00:34:59.030 --> 00:35:05.980
That's the way it's always been. But Yeah, it's

00:35:05.980 --> 00:35:08.739
a very scary kind of race here and I hope that

00:35:08.739 --> 00:35:13.360
we pull back from Brick. So on that note about

00:35:13.360 --> 00:35:15.619
not arms race or anything like that but about

00:35:15.619 --> 00:35:18.880
AI and technology, I know you're also a mentor

00:35:18.880 --> 00:35:21.659
for Techstars. I was just going to ask you, do

00:35:21.659 --> 00:35:24.739
you think that a startup can still exist without

00:35:24.739 --> 00:35:28.599
AI on something that they do or that's completely

00:35:28.599 --> 00:35:34.099
off? Everything needs to be around AI. I heard

00:35:34.099 --> 00:35:38.340
a recent statement from a venture capitalist.

00:35:38.519 --> 00:35:41.900
I think it was in Sequoia or maybe A16Z or one

00:35:41.900 --> 00:35:45.500
of those large funds. And they said that over

00:35:45.500 --> 00:35:50.340
90 % of incoming pitches are AI related. So I

00:35:50.340 --> 00:35:55.280
guess it's possible, but pretty slim. I think

00:35:55.280 --> 00:35:57.900
part of it is supply and demand. There's a lot

00:35:57.900 --> 00:36:02.130
of capital. Looking for AI ideas and there are

00:36:02.130 --> 00:36:04.150
a lot of entrepreneurs that are trying to be

00:36:04.150 --> 00:36:07.190
where the capital is going Yeah, that makes sense,

00:36:07.190 --> 00:36:10.550
but would you so? Because I know you also teach

00:36:10.550 --> 00:36:13.170
people when they help them out So what advice

00:36:13.170 --> 00:36:15.769
would you give to an entrepreneur just launching

00:36:15.769 --> 00:36:18.789
their startup in terms of incorporating AI into

00:36:18.789 --> 00:36:27.349
their idea? I Think that AI is a tool it helps

00:36:27.349 --> 00:36:31.599
you achieve certain things. It helps you maybe

00:36:31.599 --> 00:36:34.000
get where you're going, but it doesn't help you

00:36:34.000 --> 00:36:38.139
decide where you're going. It's not a destination.

00:36:42.239 --> 00:36:45.300
It doesn't produce value by itself. It helps

00:36:45.300 --> 00:36:47.519
you produce the value that you want to produce.

00:36:47.860 --> 00:36:53.840
So it's a means to an end. It's technology. It's

00:36:53.840 --> 00:36:57.639
not a product. If that makes sense. So my advice

00:36:57.639 --> 00:36:59.900
to the entrepreneur, you know, if the entrepreneur

00:36:59.900 --> 00:37:02.539
tells me, you know, actually, you know, I recently

00:37:02.539 --> 00:37:08.960
had this I had, you know, I had a startup founder

00:37:08.960 --> 00:37:11.480
and told me, look, I, you know, I built this

00:37:11.480 --> 00:37:16.539
AI based product. And it's really cool. It has

00:37:16.539 --> 00:37:19.920
all these technologies in it. And I'm having

00:37:19.920 --> 00:37:21.920
like a lot of trouble selling it, you know, it's

00:37:21.920 --> 00:37:24.699
not really getting the kind of pick up the market

00:37:24.699 --> 00:37:28.340
traction. that I'm looking for. So what should

00:37:28.340 --> 00:37:32.219
I do? Should I maybe raise some money, maybe

00:37:32.219 --> 00:37:36.039
lower my price, maybe fix my ad, maybe I should

00:37:36.039 --> 00:37:42.019
take on a partner? How do I fix it? And the problem

00:37:42.019 --> 00:37:46.000
with that question is that users don't really

00:37:46.000 --> 00:37:48.380
care if you're using AI or not. Maybe investors

00:37:48.380 --> 00:37:52.059
do, but users don't care. Users have certain

00:37:52.059 --> 00:37:55.119
pain points, and as entrepreneurs, it's our job

00:37:55.119 --> 00:37:58.659
to fix those pain points using whatever legal

00:37:58.659 --> 00:38:02.760
means we can come up with. And it just so happens

00:38:02.760 --> 00:38:07.920
that a lot of problems could probably be fixed

00:38:07.920 --> 00:38:10.760
with the application of these new capabilities

00:38:10.760 --> 00:38:13.699
that just got unlocked. But the user, again,

00:38:13.780 --> 00:38:15.860
the user doesn't care whether we're using a new

00:38:15.860 --> 00:38:18.019
way to fix it or an old way to fix it. They just

00:38:18.019 --> 00:38:20.739
care that it's fixed. So the advice of the entrepreneur

00:38:20.739 --> 00:38:24.280
is Before you decide that you want to build something

00:38:24.280 --> 00:38:30.659
with AI, talk to users and make sure that you're

00:38:30.659 --> 00:38:33.079
building something that they would want. And

00:38:33.079 --> 00:38:36.059
then you figure out how to build it. It makes

00:38:36.059 --> 00:38:39.539
a lot of sense. In terms of raising investment,

00:38:39.820 --> 00:38:44.559
because I know you're also in space, how hard

00:38:44.559 --> 00:38:47.099
do you think it is right now to raise investment

00:38:47.099 --> 00:38:49.659
overall? because here for example in UK a lot

00:38:49.659 --> 00:38:51.159
of people are complaining oh my god it's been

00:38:51.159 --> 00:38:53.760
so hard and no one's investing you know money's

00:38:53.760 --> 00:38:56.800
really tight we know for a fact that in the US

00:38:56.800 --> 00:38:59.420
you know rounds are at least five times bigger

00:38:59.420 --> 00:39:02.500
than in the UK which is great you know our minimum

00:39:02.500 --> 00:39:05.539
you know round is 250k and that's really a lot

00:39:05.539 --> 00:39:07.500
of money because in the US it's around a million

00:39:07.500 --> 00:39:10.860
so how is that working what's the current status

00:39:10.860 --> 00:39:14.039
okay so there's two questions there there's the

00:39:14.039 --> 00:39:17.739
US versus UK or US versus other countries And

00:39:17.739 --> 00:39:20.559
there's also how hard is it now versus how hard

00:39:20.559 --> 00:39:26.500
was it before. So for the second question, I

00:39:26.500 --> 00:39:29.619
think that valuations for private companies,

00:39:29.739 --> 00:39:32.019
for startups have generally come down in the

00:39:32.019 --> 00:39:35.519
US over the past like maybe six months, 12 months.

00:39:36.320 --> 00:39:42.559
And you can see that in a lot of investors that

00:39:42.559 --> 00:39:44.900
have sort of mark to market accounting. They

00:39:44.900 --> 00:39:47.739
have taken down the marks of their private investments.

00:39:48.239 --> 00:39:51.099
And it's also, you know, it's more difficult

00:39:51.099 --> 00:39:53.320
to raise money now than it was maybe six or 12

00:39:53.320 --> 00:39:56.780
months ago. Not necessarily a bad thing. It was

00:39:56.780 --> 00:40:01.820
just like such a mania going on. But it's still,

00:40:01.840 --> 00:40:03.699
you know, there's still a lot of VC investments.

00:40:03.820 --> 00:40:06.500
There's still a lot of VCs that have dry powder

00:40:06.500 --> 00:40:09.539
and there's still a lot of capital looking for

00:40:09.539 --> 00:40:14.199
AI opportunities. In terms of the US versus other

00:40:14.199 --> 00:40:17.239
countries, it's a really good question and I

00:40:17.239 --> 00:40:21.800
don't have a lot of expertise there, but there's

00:40:21.800 --> 00:40:24.860
something special about the Bay Area ecosystem

00:40:24.860 --> 00:40:30.099
and what they've created over the past 30, 40,

00:40:30.119 --> 00:40:34.119
50 years. I know that a lot of other countries

00:40:34.119 --> 00:40:36.380
have tried to replicate it and it's been elusive.

00:40:37.500 --> 00:40:39.599
It's not that nobody else has succeeded, but

00:40:39.630 --> 00:40:42.510
the scale is, you know, it's tough to replicate.

00:40:42.929 --> 00:40:45.010
I can't tell you that I know exactly what it

00:40:45.010 --> 00:40:48.489
is, but, you know, something about the physical

00:40:48.489 --> 00:40:51.869
proximity of a couple of universities and all

00:40:51.869 --> 00:40:55.230
of these capital providers, it's like a magnet,

00:40:55.429 --> 00:40:58.829
it's like a self -reinforcing system and it seems

00:40:58.829 --> 00:41:04.210
to work. I also think that, you know, there's

00:41:04.210 --> 00:41:07.679
something in... There's something about cultures

00:41:07.679 --> 00:41:12.780
that are just different. Something about the

00:41:12.780 --> 00:41:16.960
value of the individual versus the value of a

00:41:16.960 --> 00:41:21.260
group and the value of society. The US makes

00:41:21.260 --> 00:41:23.360
different choices than other countries do, and

00:41:23.360 --> 00:41:28.079
those choices have pluses and minuses. Maybe

00:41:28.079 --> 00:41:31.320
the entrepreneurial ecosystem is a plus, but

00:41:31.320 --> 00:41:34.380
hey, we have one of the most expensive healthcare

00:41:34.380 --> 00:41:37.920
systems in the world. to a lot of other people

00:41:37.920 --> 00:41:39.840
who live in a lot of other countries. It's crazy

00:41:39.840 --> 00:41:44.099
that you have to go shopping for dentists and

00:41:44.099 --> 00:41:48.219
you have to like haggle with your pharmacist

00:41:48.219 --> 00:41:51.099
about how much to pay for a medication. But that

00:41:51.099 --> 00:41:53.940
happens in the US all the time and it doesn't

00:41:53.940 --> 00:41:56.380
happen in any other advanced economy. So there's

00:41:56.380 --> 00:41:59.079
definitely trade -offs. That's always a big shock.

00:41:59.659 --> 00:42:01.599
Our second friend of mine who travels to the

00:42:01.599 --> 00:42:06.119
US. He also has family there. We're talking about

00:42:06.119 --> 00:42:08.400
Azomorpozol, which is the medicine you take through

00:42:08.400 --> 00:42:10.500
to the stomach protector. And he was saying I

00:42:10.500 --> 00:42:12.760
had to get some prescription there in the States

00:42:12.760 --> 00:42:16.360
and he was like $700. Whereas in here, I literally

00:42:16.360 --> 00:42:18.579
can go to my supermarket and buy it and it'll

00:42:18.579 --> 00:42:22.099
be two pounds. So very, very cheap. It's a bit

00:42:22.099 --> 00:42:26.239
of a shock. Another question I have is Would

00:42:26.239 --> 00:42:28.760
you advise someone coming in from Europe and

00:42:28.760 --> 00:42:30.880
say, you know what, just go to the US and try

00:42:30.880 --> 00:42:33.219
and raise some funds there? Or do you think automatically

00:42:33.219 --> 00:42:34.780
they'll be shut down and say, oh, where are you

00:42:34.780 --> 00:42:37.179
coming from? The UK, France, whatever, Germany.

00:42:37.699 --> 00:42:39.960
Yeah, we don't tend to invest in companies because

00:42:39.960 --> 00:42:42.800
it's illegal minefield or we don't trust you

00:42:42.800 --> 00:42:47.039
to do things the right way. You know, I don't

00:42:47.039 --> 00:42:49.380
think that switching countries is the right move

00:42:49.380 --> 00:42:55.539
for most entrepreneurs. I think that The biggest

00:42:55.539 --> 00:42:58.960
problems are around building something that people

00:42:58.960 --> 00:43:02.500
want. It's achieving product market fit. If you

00:43:02.500 --> 00:43:05.460
are able to achieve product market fit, the capital

00:43:05.460 --> 00:43:07.960
will come to you, even if it has to come overseas.

00:43:08.719 --> 00:43:14.920
So I think that over the past 20, 30 years, I

00:43:14.920 --> 00:43:17.719
think, you know, even if you look at US capital,

00:43:17.900 --> 00:43:20.619
that there's just a lot more investment overseas

00:43:20.619 --> 00:43:22.659
and, you know, that they're looking for deals

00:43:22.659 --> 00:43:25.889
in much, much bigger places. certainly broader

00:43:25.889 --> 00:43:29.190
than the Bay Area. And I think that concentration

00:43:29.190 --> 00:43:35.289
is decreasing, it's diffusing. I know that there's

00:43:35.289 --> 00:43:37.969
not as much capital available to entrepreneurs

00:43:37.969 --> 00:43:45.869
in more conservative countries. But I think that

00:43:45.869 --> 00:43:51.159
if you, let's say if you're in... If you're in

00:43:51.159 --> 00:43:53.320
France, if you're in Germany, if you're in the

00:43:53.320 --> 00:43:56.119
UK and you have developed a product that has

00:43:56.119 --> 00:43:59.199
good traction that users really want, I think

00:43:59.199 --> 00:44:01.000
that you can raise the capital without moving.

00:44:02.679 --> 00:44:05.980
You may not be able to raise it from local investors

00:44:05.980 --> 00:44:09.920
that are down the street, but I think that it

00:44:09.920 --> 00:44:13.119
is possible to do. This is going to be a very

00:44:13.119 --> 00:44:16.000
tricky question, I realize that. If you had just

00:44:16.000 --> 00:44:18.300
one piece of advice to give to an entrepreneur,

00:44:18.739 --> 00:44:23.719
what would that be? Build something people want

00:44:23.719 --> 00:44:30.360
Yeah, that's that's because I think Sometimes

00:44:30.360 --> 00:44:32.019
you meet a lot of people who are building this

00:44:32.019 --> 00:44:34.519
fantastic idea in their mind and then they realize

00:44:34.519 --> 00:44:36.519
actually no one wants this what I'm gonna do

00:44:36.519 --> 00:44:39.280
with it and the same happens quite often with

00:44:39.280 --> 00:44:41.719
software companies where they build this product

00:44:41.719 --> 00:44:43.380
that they think the market's really gonna need

00:44:43.380 --> 00:44:44.940
and that they didn't hear in the market and the

00:44:44.940 --> 00:44:46.320
market say why did you spend a couple million

00:44:46.320 --> 00:44:49.980
here because that's not for us that's No one's

00:44:49.980 --> 00:44:53.480
going to use it. As we're closing to the end

00:44:53.480 --> 00:44:55.639
of our podcast, if people want to reach out to

00:44:55.639 --> 00:44:58.940
you, how can they do so? Yeah. So the best way

00:44:58.940 --> 00:45:01.739
to reach me is on LinkedIn. It's Alan Bachman,

00:45:01.800 --> 00:45:06.340
A -L -O -N -B -O -C -H -M -E -N. And just drop

00:45:06.340 --> 00:45:11.019
me a note. I respond to everybody that reaches

00:45:11.019 --> 00:45:13.559
out to me. Thank you so much, Alan. Thank you

00:45:13.559 --> 00:45:14.860
so much for your time today. It's been super

00:45:14.860 --> 00:45:19.340
insightful. Thank you, Ricardo. Take care. Let

00:45:19.340 --> 00:45:19.739
me just.
