WEBVTT

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Today, we're diving into the fascinating world

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of technology with John Greenwood, a luminary

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in the tech industry and the chief technology

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officer at Kronos Fusion Energy. With over two

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decades of experience, John's career is a testament

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to innovation and creativity, seamlessly blending

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IT, web, mobile, and software application development.

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His career is a rich tapestry, woven with diverse

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experiences across sectors like consumer electronics,

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entertainment, graphics, and many more, contributing

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to companies and working alongside notable names

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like Disney, IBM, and a few other musicians currently

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in your playlist. Known for his dynamic approach

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and versatile skill set, John has been instrumental

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in spearheading digital transformations, enhancing

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data analytics, and pioneering new product designs

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and development. His extensive background encompasses

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innovation, solution and service development,

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digital transformation, and much more. At Kronos

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Fusion Energy, John's visionary leadership and

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deep technological expertise are driving the

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development of the smart fusion energy generator,

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steering our company towards realizing a sustainable

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and clean future. His approach is not just about

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advancing technology, but about creating a positive

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impact on the world. It's personal too. I must

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know. John was kind enough to give me a job at

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Live Nation Entertainment over a decade ago.

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Our team at Live Nation was an overarching team

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of superstars, and John was our leader. We were

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charged with designing, building, and launching

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complex, multifaceted technology that streamlined

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hundreds, if not tens of thousands of internal

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and external business processes. I have always

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known John to be a great leader, an exceptional

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technologist, an avid environmentalist, and an

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all -around great human. And so, when Cronus

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needed a CTO to build the first -ever fusion

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energy ERP system, I knew John was our wild card

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that could make near -impossible, cutting -edge

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technology a reality. It's not just his professional

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achievements that set John apart. His passion

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for music, art and innovation continues to drive

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him towards exploring and integrating new technologies

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in unique ways. Join us as we explore John Greenwood's

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fascinating journey, his insights on the future

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of technology and his relentless pursuit of innovation

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across various sectors. Here's John. John, you

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are like a heavy hitter in the technology industry.

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What got you interested? What got you interested

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in what you do? So I suppose that I was originally

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following in my father's footsteps. He was an

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artist and a musician by trade. And that's what

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I wanted to do. And I was a musician, pretty

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successful musician. We were able to open for

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some big bands, go on tour. But I got an opportunity

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to join a company called Micrographics. Micrographics

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had written the world's first vector -based drawing

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program for the IBM computer. And I joined them

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a few years later in 86. and was able to work

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on a program called InnoVision, which was a CAD

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program, a drawing program. And we launched it

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before Windows 1 .0, and we became the first

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commercially available Windows application ever.

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And so I was very interested in kind of incorporating

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the art side of my brain with... with this business

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and we went on to develop Windows Draw and Windows

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Graph. We went on to go public. During my time

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there, I did start there as an artist. I didn't

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quite get the vector based drawing feel as an

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artist. I kind of wanted to do more freeform.

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So I started traversing different roles within

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the company and I was in sales. I started their

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inside sales group and their dealer programs,

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visiting dealers, setting them up. I worked in

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tech support, program management, release management.

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quality assurance and finally software development

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and R &amp;D. I think I was there for six or seven

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years and I think I discovered early on through

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that experience the intersection of creativity

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and tech. I was able to identify how technology

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can make your life better which directly translates

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into how it can make life better for co -workers

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and your clients and customers. when working

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on whatever product or solution you're developing.

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So I think that was engrained in me early and

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it kind of facilitated that passion approach

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to wanting to work with technology, but still

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getting to have that creative side. That's awesome.

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Yeah. You've been in entertainment, you've been

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in manufacturing, you've been in gaming. How

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does one translate their work between all of

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the different industries? It requires a nuanced

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approach that takes into account the unique challenges

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and opportunities and requirements of each industry.

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I know that one thing that's always bothered

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me is from time to time, if I was looking to

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work with another company, Some companies would

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be really hard headed and say, well, you have

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to have mortgage industry experience or you have

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to have FinTech experience. And what I've done

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is set out to disprove that. And then I've worked

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with graphics companies, entertainment companies.

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I worked for nearly five years at a big law firm,

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one of the biggest law firms in the world, office

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products, ticketing. toy company, retail, e -commerce.

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So in doing that, it's made it a lot easier for

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me to pick up gigs here and there with companies

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that otherwise would just kind of look at your

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experience and say, no, you don't have that.

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But you still need to have that passion. And

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I've always had it, regardless of what it was.

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And a good example is the law firm. That might

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sound a little dry for somebody that's worked

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in graphics and entertainment. But the role was

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Chief Digital and Innovation Officer. And that

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also really drives me. The whole digital transformation

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piece to me is creative. It's getting in there

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and figuring out how you can streamline operations,

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streamline business processes, using technology

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and tools to help facilitate making things better

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for folks. I've been able to easily kind of translate

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that to different business types and it hasn't

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been a problem for me. Wow. Yeah. How does you

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must have seen quite a bit of an evolution within

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technology just from, you know, the 1980s to

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where we are now talking about AI machine learning.

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quantum computing, how do you stay on top of

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it? How do you consistently learn? Is it something

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you are built with or do you work hard on it?

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Yeah, actually to the point of the last question,

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it becomes easier for me because of traversing

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all these different companies and industries.

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in these different spaces. So I'm able to more

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easily like continuously monitor the industry

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trends, merging technologies and regulatory changes

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that impact technological strategies in each

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of these sectors. So if I see, I'm constantly,

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if you follow on LinkedIn, for instance, I'm

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constantly posting. stories that I find interesting

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in digital transformation and innovation, but

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a lot of those, again, traverse different industries

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like legal. Maybe some things I post is on GDPR

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and the changes to GDPR, or there's new EU laws

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that are passed this week. I don't know if you

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saw those. Those are very interesting to me,

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but those traverse all sorts of industries. They

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touch on legal, of course. They touch on compliance

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and regulatory. but they also touch on all these

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other industries I've worked on. So I stay connected

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with industries, associations, I attend conferences

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and engage in knowledge sharing forums to stay

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informed and adapt strategies. I'm part of a

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collective of folks that are continually reaching

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out and helping each other to understand the

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ever -changing landscape. you know the anti -technology

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so yeah so so it's like you're naturally interested

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in it and you're good at it and yeah your friends

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do it yeah i get that that's pretty cool um what

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what is like the most innovative project you

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think like in your lifetime what has been the

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most fun challenging um You know, so after I

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left Minder Graphics, I actually left with the

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president and COO. And again, we'd gone public,

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very successful company. I've learned a lot of

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things there. I'm very lucky to have joined that

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company. But he wanted to leave and start a multimedia

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company. And this was right down my alley, of

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course. We actually even brought in some very

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famous musicians and producers. But I was the

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third employee in that company. And it was called

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Seventh Level. It was a startup. And at the time,

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companies like Brøderbund and Disney were releasing

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interactive titles with a few hundred sales of

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animation and 8 -bit mono audio, which is unheard

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of in today's day and time. But these were the

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big the big interactive gaming and title houses

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at the time. It was very rudimentary stuff. And

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our vision and mission was to create interactive

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titles, at least when we started for children.

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So educational interactive titles with much improved

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audio and visuals. And so we set out to develop

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an AV engine that would allow us to produce titles

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in 16 -bit stereo. for things like sound effects

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and maybe dialogue. And in the cases where we

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were going to use key songs in the title with,

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we had people, yes, John Anderson from Yes sang

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songs, children's songs. We had David Gilmore

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from Pink Floyd playing in the title. Howie Mandel

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was our main character that took the children

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throughout the title. And in those cases, we

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used CD quality audio, or 44 .1 kilohertz, 16

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-bit stereo, which again, unheard of at the time.

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And then moreover, again, these other titles

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had a few hundred cells of animation. And this

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is Disney we're talking about. Our first title

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contained 12 ,000 cells of animation. And this

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allowed us to launch titles that were what you

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call on 24 Hollywood quality. So it's like watching

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a Saturday morning cartoon. And then we were

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able also to localize that into 13 different

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country languages. And it was very popular. We

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also did things like reuse of cells and tweening.

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Tweening is when you create key cells, a key

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character cell, but then automatically create

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the cells in between, which speeds up the development

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process. And folks like Disney took attention

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immediately. They hired us to create games for

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them, including some of the Lion King games like

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Timon and Bumba's Jungle games. I was able to

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create the world's first Mix Mode or Orange Book

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CD -ROM for Windows. So I was interviewed by

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CD Magazine for that. And then we just went on

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to use that AV engine and that experience and

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continue to improve on it to create other...

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Little Howie, Little Howie Mandel titles, for

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which we won a presidential award from George

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Bush for a lot of the children's stuff. But then

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we got into other things for older children and

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adults, a virtual reality series, and then eventually

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produced all the Monty Python interactive titles.

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And much like micrographics, I kind of traversed

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through different roles at that company. So when

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I started, I started up their QA and release

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management group. but then I got into some coding,

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you know, actually doing some programming and

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scripting on the titles, and eventually became

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a producer, and I was a producer for Monty Python's

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Quest for the Holy Grail, and we actually won

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at the Cannes Film Festival the first year they

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had an award for video games, and we won for

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Quest for the Holy Grail, so super, super, yeah,

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super, super fun, very innovative. very challenging

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lot of hours put in on that on that company and

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we did take that company public as well we actually

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did a secondary public offering so yeah um it's

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almost like you seek to be in the forefront of

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ideas and innovations technologically um it almost

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feels like you have some sort of instinctual

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insight that allows you to see uh the next move

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in the game, so to speak, technologically speaking,

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just kind of looking at your resume and the evolution

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of it. That's pretty cool. And it shows passion.

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There are passion projects for you. Right. Yeah,

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absolutely. I always try to find some level of

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passion in whatever I do. And I've been lucky

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enough to find these organizations like Bicronos

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Fusion Energy that I'm passionate about. It shows,

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John, it definitely shows. So all of these, like

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you've seen so many full cycle management or

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full cycle build of a lot of technologies. I'm

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sure with the advent of AI and AI doing some

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of the programming now, helping with data scrubbing,

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all of the ETL processes that we used to hire

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people for. is now almost autonomous and optimizes

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itself, et cetera. How does a software development

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lifecycle, how is it gonna evolve over the next

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20 years? Just speculate. Yeah, that's a good

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question. I'm not entirely sure how it'll evolve

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over the next 20 years. That's pretty far out,

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but for easily the first half of my career. in

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a lot of our careers, waterfall SDLC was king.

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And to some extent it still exists, especially

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in the realms of legal and government and manufacturing

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projects, which I've worked on all of those in

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the last few gigs I've been in. However, to your

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point with the advent of things like DevOps,

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low code, AI. we've embarked on cultural philosophies

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and practices and tools that increase our ability

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to deliver applications and services at high

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velocity. So evolving and improving products

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at a faster pace than organizations using traditional

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software development and infrastructure management

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processes can. Automated testing frameworks also

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factor into this. I used to manage, as you know,

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Frank, a large QA organizations at a number of

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my roles. And these have all but gone away. It's

00:17:48.000 --> 00:17:51.740
tough to find like a VP of quality assurance

00:17:51.740 --> 00:17:54.380
or anything because the developers are building

00:17:54.380 --> 00:17:58.019
these automated testing harnesses into the code

00:17:58.019 --> 00:18:01.500
that they write. And to your point again, now

00:18:01.500 --> 00:18:05.359
with AI actually generating code and doing code

00:18:05.359 --> 00:18:08.839
reviews and testing. artificial intelligence

00:18:08.839 --> 00:18:11.380
is changing the programming landscape and the

00:18:11.380 --> 00:18:14.380
future of coding by making code generation and

00:18:14.380 --> 00:18:18.180
optimization much better. Code snippet generation

00:18:18.180 --> 00:18:21.240
and performance optimization are two tasks that

00:18:21.240 --> 00:18:24.299
developers can automate now with the help of

00:18:24.299 --> 00:18:28.640
AI -powered coding tools. AI can analyze big

00:18:28.640 --> 00:18:31.740
data sets and find patterns to boost code quality

00:18:31.740 --> 00:18:34.589
and efficiency. And the tools can suggest better

00:18:34.589 --> 00:18:37.269
code structures and warn developers of possible

00:18:37.269 --> 00:18:39.789
cybersecurity risks. I was looking at one of

00:18:39.789 --> 00:18:42.289
these the other day. I think it's called Devon,

00:18:42.329 --> 00:18:45.930
if I remember correctly. But I was very surprised

00:18:45.930 --> 00:18:48.069
that it was not only generating the code, but

00:18:48.069 --> 00:18:51.869
also going in and debugging and looking at cyber

00:18:51.869 --> 00:18:55.069
security and endpoint protections. But it can

00:18:55.069 --> 00:18:58.430
also predict future issues using past data, right?

00:19:00.039 --> 00:19:04.079
doing predictive analytics based on the data

00:19:04.079 --> 00:19:08.019
workload. And it can lead to a better final product

00:19:08.019 --> 00:19:10.640
or solution and a smoother, more efficient development

00:19:10.640 --> 00:19:14.680
process. That said, I still believe humans are

00:19:14.680 --> 00:19:16.980
the creative element that's missing in the chain.

00:19:17.839 --> 00:19:20.440
So AI, at least currently, doesn't have that

00:19:20.440 --> 00:19:22.740
creative element intact. I'm not seeing it at

00:19:22.740 --> 00:19:24.519
least, and I've played around with it a fair

00:19:24.519 --> 00:19:28.579
amount. While AI is automating a lot of these

00:19:28.579 --> 00:19:31.720
tasks, the notion of AI replacing programmers

00:19:31.720 --> 00:19:35.339
is still more of a speculation than a reality

00:19:35.339 --> 00:19:38.460
due to the irreplaceable human creativity problem

00:19:38.460 --> 00:19:44.119
solving skills. Right. I think it'll make things

00:19:44.119 --> 00:19:47.660
faster and easier, but I don't think it's actually

00:19:47.660 --> 00:19:50.079
going to replace human beings. I think you have

00:19:50.079 --> 00:19:53.039
to know what you're doing to even communicate

00:19:53.039 --> 00:19:58.119
with it properly. Right. Yeah, it's like, I tell

00:19:58.119 --> 00:20:01.819
my wife, my wife's an artist and a poet. She

00:20:01.819 --> 00:20:04.819
made her a poet. And I've tried, but I haven't

00:20:04.819 --> 00:20:08.660
convinced her yet that she constantly wants to

00:20:08.660 --> 00:20:11.319
spawn new ideas. And I said, you really should

00:20:11.319 --> 00:20:15.519
use generative AI to at least get you kickstarted.

00:20:15.599 --> 00:20:18.039
You don't have to use the content that's generated,

00:20:18.140 --> 00:20:21.519
but it gives you ideas to press on and move forward.

00:20:23.170 --> 00:20:32.650
Right, yeah. Yeah, that's interesting. You know,

00:20:32.650 --> 00:20:37.390
I talk to gamers and a lot of people when they

00:20:37.390 --> 00:20:42.390
play video games, they think that the next step

00:20:42.390 --> 00:20:47.009
is somehow programmed in. And the truth of it

00:20:47.009 --> 00:20:50.569
is the programming for the program is in there.

00:20:50.730 --> 00:20:54.329
but the actual visuals and everything is actually

00:20:54.329 --> 00:20:57.589
built as you play through the game. And I think

00:20:57.589 --> 00:21:01.130
a lot of people quite understand how well our

00:21:01.130 --> 00:21:04.569
sort of predictive modeling has gotten, even

00:21:04.569 --> 00:21:07.950
when it comes to predicting not only your gaming

00:21:07.950 --> 00:21:10.690
moves, but the visuals that then show up, the

00:21:10.690 --> 00:21:15.150
characters that then show up. All of that is

00:21:15.150 --> 00:21:20.250
almost like a machine learning model. Right.

00:21:20.490 --> 00:21:23.230
Right. And that's interesting because like, you

00:21:23.230 --> 00:21:25.529
know, you go from playing like Pac -Man, not

00:21:25.529 --> 00:21:29.390
just less than four decades ago and the constraints

00:21:29.390 --> 00:21:31.789
of video games then. And now you see this whole

00:21:31.789 --> 00:21:36.450
other world. And I saw a demo of the Apple Apple

00:21:36.450 --> 00:21:40.029
Pro headset and it was mind blowing. It was mind

00:21:40.029 --> 00:21:44.769
blowing. It is. It's crazy. I was almost terrifyingly

00:21:44.769 --> 00:21:47.089
good. It was almost like, you know what? That's

00:21:47.089 --> 00:21:48.880
it. Like, I don't think I'm going to leave my

00:21:48.880 --> 00:21:51.180
house during my retirement. Like, it's getting

00:21:51.180 --> 00:21:54.500
over. Yeah, it's moving at an incredible pace

00:21:54.500 --> 00:21:59.279
right now. All right, yeah. Yeah, I think as

00:21:59.279 --> 00:22:01.880
technology people, like, we're all excited about

00:22:01.880 --> 00:22:04.599
it, but there are a lot of people that see a

00:22:04.599 --> 00:22:07.900
lot of doom and gloom, which I don't get. I only

00:22:07.900 --> 00:22:10.339
see the upside, so maybe I'm the problem item.

00:22:12.680 --> 00:22:17.099
So... John, you've generated a lot of intellectual

00:22:17.099 --> 00:22:19.819
property out there with some of these ways where

00:22:19.819 --> 00:22:23.839
you've married technology and art and technology

00:22:23.839 --> 00:22:29.539
and music and things like that. Do you have time

00:22:29.539 --> 00:22:32.079
for your music, by the way? How do you make time?

00:22:32.980 --> 00:22:39.630
I haven't as much as I want to. I was a lead

00:22:39.630 --> 00:22:43.250
singer in the band back in the 80s, but it was

00:22:43.250 --> 00:22:46.730
after I stopped doing that so much that I started

00:22:46.730 --> 00:22:49.910
playing guitar more. And I've performed here

00:22:49.910 --> 00:22:54.890
and there. I was lucky enough to do a gig at

00:22:54.890 --> 00:22:57.190
the House of Blues on Sunset before they tore

00:22:57.190 --> 00:22:59.750
that down, because that was kind of a landmark

00:22:59.750 --> 00:23:02.710
for House of Blues. And then some other clubs

00:23:02.710 --> 00:23:05.690
are around here. But I try. I need to make more

00:23:05.690 --> 00:23:09.940
time for it. Have you have you had a chance to

00:23:09.940 --> 00:23:13.180
try the app where you it you train it with your

00:23:13.180 --> 00:23:16.240
voice? And then you just tell it the song and

00:23:16.240 --> 00:23:18.900
it'll sing that song in your voice. I have not.

00:23:19.119 --> 00:23:24.160
It's called Dub AI. I literally trained it with

00:23:24.160 --> 00:23:26.700
my voice and I made it sing like Whitney Houston's

00:23:26.700 --> 00:23:29.019
I Will Always Love You and I was blown away.

00:23:29.099 --> 00:23:31.759
There's no way I can do that in real life, but

00:23:31.759 --> 00:23:35.299
I sound so good. That's super interesting. Yeah,

00:23:35.299 --> 00:23:41.059
I have a ton of patents in my name, and it was

00:23:41.059 --> 00:23:44.559
always frustrating to me that a lot of them came

00:23:44.559 --> 00:23:47.460
under Gateway. I think I've got one at Sony and

00:23:47.460 --> 00:23:49.960
some other places, but the vast majority was

00:23:49.960 --> 00:23:53.599
when I was with Gateway Computer, and they had

00:23:53.599 --> 00:24:00.960
a brilliant way to go about generating IP. They

00:24:00.960 --> 00:24:04.579
had an intellectual property program where you

00:24:04.579 --> 00:24:08.420
turned the IP in. They also made it part of your

00:24:08.420 --> 00:24:11.240
bonus, actually. And they did bonuses quarterly,

00:24:11.460 --> 00:24:14.680
which I thought was unique to them versus other

00:24:14.680 --> 00:24:17.200
companies. But they actually tried to get you

00:24:17.200 --> 00:24:20.420
to work with other people to help generate IP,

00:24:20.579 --> 00:24:26.220
which was very successful. Sometimes I would

00:24:26.220 --> 00:24:30.440
come up with things that were outside maybe a

00:24:30.440 --> 00:24:34.940
little bit of what they did and your remark about

00:24:34.940 --> 00:24:39.460
the voice AI piece reminded me. I came up with

00:24:39.460 --> 00:24:43.359
something where you could play guitar. But as

00:24:43.359 --> 00:24:45.500
you were playing guitar, whatever notes you were

00:24:45.500 --> 00:24:48.339
playing were automatically registered on this

00:24:48.339 --> 00:24:51.519
tool, this solution. You know, recorded everything,

00:24:51.940 --> 00:24:53.619
recorded the tempo, everything, so that you can

00:24:53.619 --> 00:24:57.660
kind of go back. Because as I grew up, you know,

00:24:57.759 --> 00:25:01.940
as a musician, a lot of times in our band, a

00:25:01.940 --> 00:25:05.279
guitar player may start playing a solo for something

00:25:05.279 --> 00:25:07.690
that you guys have written. And then you get

00:25:07.690 --> 00:25:10.170
done, you're like, Oh, my God, that was fantastic.

00:25:10.250 --> 00:25:13.150
You know, what was that? And they just kind of

00:25:13.150 --> 00:25:14.970
shrug their shoulders and go, I don't know, I

00:25:14.970 --> 00:25:18.190
just kind of did it on the fly. And that was

00:25:18.190 --> 00:25:22.960
great. Can you do it again? I don't know. You

00:25:22.960 --> 00:25:26.099
know, I don't think so. So this invention was

00:25:26.099 --> 00:25:29.599
kind of to record the actual notes that you were

00:25:29.599 --> 00:25:31.539
playing, the tempo you were playing, the keys,

00:25:31.940 --> 00:25:34.740
everything, and Gateway passed on that, right?

00:25:35.059 --> 00:25:38.720
Well, many years later, of course, other inventions

00:25:38.720 --> 00:25:41.220
came up where people were using that. So I've

00:25:41.220 --> 00:25:44.819
done the same thing with keyboards. I actually

00:25:44.819 --> 00:25:48.200
have an invention I can show you where I turned

00:25:48.200 --> 00:25:51.880
into Gateway for a foldable, compactable phone.

00:25:52.240 --> 00:25:55.319
which I believe isn't the same. Yeah, that does

00:25:55.319 --> 00:26:00.240
that now. But this was back in 1996 or 97 that

00:26:00.240 --> 00:26:02.160
I turned that in. So it was a phone that folded

00:26:02.160 --> 00:26:06.460
in three parts. And so it was frustrating sometimes,

00:26:06.819 --> 00:26:09.940
but moreover, it was very rewarding because they

00:26:09.940 --> 00:26:13.299
actually paid you for specific milestones as

00:26:13.299 --> 00:26:17.640
you created things. You'd go to an invention

00:26:17.640 --> 00:26:22.710
board. I eventually... did so much and was privy

00:26:22.710 --> 00:26:26.490
to the process so much that I joined that intellectual

00:26:26.490 --> 00:26:29.329
property board and was able to review other patents

00:26:29.329 --> 00:26:31.910
that other people were turning in. But as you

00:26:31.910 --> 00:26:35.710
go in, you've just got to make sure that you

00:26:35.710 --> 00:26:39.369
approach the creation and the protection of the

00:26:39.369 --> 00:26:43.970
IP. And as much as possible, it's good to be

00:26:43.970 --> 00:26:48.630
in a collaborative environment. Every so often,

00:26:48.730 --> 00:26:51.089
you'll hear a success story like Sony, right?

00:26:51.089 --> 00:26:52.970
They did the Walkman. I don't know if you know

00:26:52.970 --> 00:26:56.470
that story, but I can't remember the guy's name,

00:26:56.509 --> 00:27:00.730
but it was a guy and maybe a few other people,

00:27:00.750 --> 00:27:02.990
and they literally went and locked themselves

00:27:02.990 --> 00:27:05.849
in a room and worked on this in a vacuum. And

00:27:05.849 --> 00:27:09.069
it was obviously a great success for Sony so

00:27:09.069 --> 00:27:12.170
many years ago, but it's hard to replicate that

00:27:12.170 --> 00:27:16.890
sort of thing. Apple's done it at times. as well,

00:27:17.069 --> 00:27:20.430
but I find that a more collaborative environment

00:27:20.430 --> 00:27:23.490
is helpful, especially because I wasn't a hardcore

00:27:23.490 --> 00:27:25.730
programmer. So if I came up with stuff, I would

00:27:25.730 --> 00:27:28.509
go and work with my counterparts, my friends

00:27:28.509 --> 00:27:32.109
at Gateway as an example, and say, is this possible?

00:27:32.569 --> 00:27:35.029
I know it's unique because I don't see things

00:27:35.029 --> 00:27:37.769
out there and I know it's novel, but is this

00:27:37.769 --> 00:27:41.329
possible to generate this piece of hardware or

00:27:41.329 --> 00:27:44.599
this software process? And at times then you

00:27:44.599 --> 00:27:47.380
can sign them on and then they become co -inventors

00:27:47.380 --> 00:27:52.799
with you. But you just need to be cognizant to

00:27:52.799 --> 00:27:55.640
register your copyrights, trademarks, patents,

00:27:56.500 --> 00:28:00.720
register business product or domain names, create

00:28:00.720 --> 00:28:03.539
confidentially non -disclosure licensing contracts

00:28:03.539 --> 00:28:06.960
for employees and partners. But it's important

00:28:06.960 --> 00:28:09.680
and a lot of companies have gotten away from

00:28:09.680 --> 00:28:14.890
it, but IP is very important. Yeah, we definitely

00:28:14.890 --> 00:28:24.390
think so. We spoke to a company, I want to say

00:28:24.390 --> 00:28:27.390
about two to three weeks ago, and they were making,

00:28:27.529 --> 00:28:30.150
they call it sapphire screens, but they were

00:28:30.150 --> 00:28:32.670
making these ultra strong screens that could

00:28:32.670 --> 00:28:36.269
go on your phone and would also be foldable.

00:28:37.180 --> 00:28:41.059
producing these screens requires, producing that

00:28:41.059 --> 00:28:44.680
material requires like industrial heat of almost

00:28:44.680 --> 00:28:48.220
200 degrees centigrade. So we were having conversations

00:28:48.220 --> 00:28:51.059
with them about potentially using fusion energy,

00:28:51.400 --> 00:28:54.079
like an industrial generator to help them process

00:28:54.079 --> 00:28:59.579
those things. So it's interesting to hear about

00:28:59.579 --> 00:29:05.259
like the origins of that technology. Wow. Yeah.

00:29:07.119 --> 00:29:10.119
What do you think about what's happening in terms

00:29:10.119 --> 00:29:13.839
of like our superconducting capability in America?

00:29:14.019 --> 00:29:21.119
I know that how do you feel about that? As it

00:29:21.119 --> 00:29:26.640
relates to Just the future of the availability

00:29:26.640 --> 00:29:34.099
of these superconductors in order to have computing

00:29:34.099 --> 00:29:37.119
follow Moore's law in the future. I mean, so

00:29:37.119 --> 00:29:40.660
if we're talking about things like quantum, if

00:29:40.660 --> 00:29:42.559
we're talking about things like quantum computing

00:29:42.559 --> 00:29:46.920
and AI, all of these things require not only

00:29:46.920 --> 00:29:51.119
huge amounts of energy, but they require computing

00:29:51.119 --> 00:29:55.839
that we don't have the capacity to produce right

00:29:55.839 --> 00:29:57.980
now. And I know a lot of startups are working

00:29:57.980 --> 00:30:03.079
on it. Yeah, so I mean, if you're talking about

00:30:03.079 --> 00:30:06.759
kind of the internet, I don't have a strong opinion

00:30:06.759 --> 00:30:09.960
on some of the, you know, these countries that

00:30:09.960 --> 00:30:12.140
you brought up and, you know, that there's always

00:30:12.140 --> 00:30:15.119
a danger there and that comes into the regulatory

00:30:15.119 --> 00:30:18.180
and the compliance and moreover the security

00:30:18.180 --> 00:30:20.880
piece. But if you're talking about the intersection

00:30:20.880 --> 00:30:25.799
of technology and these energy pieces evolving,

00:30:26.460 --> 00:30:30.809
to your point. High performance computing is

00:30:30.809 --> 00:30:35.049
one to look at and advanced simulation techniques

00:30:35.049 --> 00:30:38.890
being essential for modeling and optimizing these

00:30:38.890 --> 00:30:42.289
fusion reactors and their designs and the plasma

00:30:42.289 --> 00:30:47.529
behaviors. Computational modeling, which enables

00:30:47.529 --> 00:30:50.269
the scientists and engineers to simulate complex

00:30:50.269 --> 00:30:54.529
dynamics and optimize the reactor performances.

00:30:55.009 --> 00:30:59.869
That's all going to be crucial. to predict the

00:30:59.869 --> 00:31:02.809
behavior of fusion reactions under different

00:31:02.809 --> 00:31:07.029
operating conditions. We've seen things like

00:31:07.029 --> 00:31:13.089
what was it, the Japanese reactor that had an

00:31:13.089 --> 00:31:15.250
issue when it flooded, things of this nature.

00:31:16.130 --> 00:31:18.789
So high -performance computing models in that

00:31:18.789 --> 00:31:22.029
respect are gonna be helpful. The development

00:31:22.029 --> 00:31:24.529
of advanced materials and engineering techniques,

00:31:24.529 --> 00:31:28.369
I know that... I shared something with everyone

00:31:28.369 --> 00:31:32.730
at CREMIS on AI being used, you know, to help

00:31:32.730 --> 00:31:36.250
find new materials, you know, not too long ago.

00:31:37.069 --> 00:31:40.490
So those materials and engineering techniques

00:31:40.490 --> 00:31:42.710
are going to be critical for building and operating

00:31:42.710 --> 00:31:46.829
fusion reactors, innovations in material sciences,

00:31:47.829 --> 00:31:50.549
like high -temperature superconductors and evading

00:31:50.549 --> 00:31:53.869
ceramics and all these sorts of things. that

00:31:53.869 --> 00:31:57.910
were all in that article that I shared, but AI

00:31:57.910 --> 00:32:00.650
is gonna factor into it heavily. It's gonna be

00:32:00.650 --> 00:32:03.450
very interesting to watch this space and how

00:32:03.450 --> 00:32:06.470
AI and machine learning can be impactful to it.

00:32:06.750 --> 00:32:09.910
But as far as the others, the other part of that

00:32:09.910 --> 00:32:13.750
question, I think it's all about security. It's

00:32:13.750 --> 00:32:18.670
gonna be crucial that we secure all of this.

00:32:19.369 --> 00:32:28.180
It's tough. A lot of these countries are way

00:32:28.180 --> 00:32:32.380
ahead of us in terms of the hacking and the breaches

00:32:32.380 --> 00:32:35.619
that they're performing in a lot of these companies.

00:32:35.799 --> 00:32:38.000
And it's tough to stay ahead of the curve on

00:32:38.000 --> 00:32:40.319
that. I really haven't seen anybody that's been

00:32:40.319 --> 00:32:43.259
able to stay ahead of the curve. It's been more

00:32:43.259 --> 00:32:47.799
reactionary. That's true. That's true. And I

00:32:47.799 --> 00:32:51.019
think the fear is that you know, like we we rely

00:32:51.019 --> 00:32:55.980
a lot on Taiwan and for for our computer chips

00:32:55.980 --> 00:32:59.779
and things like that and so that so one wonders

00:32:59.779 --> 00:33:05.740
that like if we for Yeah, yeah, no, I I understand

00:33:05.740 --> 00:33:08.799
I understand the concern and and gateway for

00:33:08.799 --> 00:33:12.000
instance, we got a fair amount of our chips from

00:33:12.000 --> 00:33:15.630
from Taiwan as well. So there's always that danger

00:33:15.630 --> 00:33:19.150
of that marketing, I'm sorry, that market kind

00:33:19.150 --> 00:33:23.950
of closing up to you based on geographical concerns

00:33:23.950 --> 00:33:28.369
and politics as well. Cyber security is a big

00:33:28.369 --> 00:33:32.089
thing for us and we're heavily relying on you

00:33:32.089 --> 00:33:35.609
for all that, John. What do you think? Not only

00:33:35.609 --> 00:33:41.009
do we as a nuclear energy company have regulatory

00:33:41.009 --> 00:33:45.859
things, that we need to worry about. And so there's

00:33:45.859 --> 00:33:48.539
a lot of compliance around that. But you hear

00:33:48.539 --> 00:33:51.759
about cyber attacks all the time. In terms of

00:33:51.759 --> 00:33:58.740
an energy asset, I worry about cybersecurity.

00:33:59.259 --> 00:34:03.859
What do you think? How can we really ensure that

00:34:03.859 --> 00:34:09.219
we're protected? Is there a way? What I've really

00:34:09.219 --> 00:34:12.730
fallen back on So in regards to compliance in

00:34:12.730 --> 00:34:15.369
general, so compliance first, let me just say,

00:34:16.050 --> 00:34:19.590
I've had a lot of experience with ADA and GDPR,

00:34:19.769 --> 00:34:24.190
CCPA, HIPAA, PCI, FedBrand, all these, especially

00:34:24.190 --> 00:34:26.570
in roles they've served in within legal, finance,

00:34:26.829 --> 00:34:32.130
retail arenas. Same thing goes with security.

00:34:33.349 --> 00:34:35.829
The compliance and security pieces are hand in

00:34:35.829 --> 00:34:38.940
hand. You've got to do a full assessment of solutions

00:34:38.940 --> 00:34:42.139
and the infrastructure coupled with continued

00:34:42.139 --> 00:34:45.099
audits to evaluate the adherence to regulatory

00:34:45.099 --> 00:34:48.599
requirements and endpoints in the security piece.

00:34:49.900 --> 00:34:52.519
Everything as far as compliance and regulatory

00:34:52.519 --> 00:34:57.800
is constantly changing. On the flip side of the

00:34:57.800 --> 00:35:00.940
coin, on the security piece, the threats are

00:35:00.940 --> 00:35:03.920
constantly changing. As soon as we figure out

00:35:03.920 --> 00:35:11.150
a way to... shut an organization down or plug

00:35:11.150 --> 00:35:15.510
up an area that could be breached, they find

00:35:15.510 --> 00:35:21.010
a new way in. So you have to really work on a

00:35:21.010 --> 00:35:24.309
regular basis to ensure that all these things

00:35:24.309 --> 00:35:28.449
have been plugged up. I've had very good luck

00:35:28.449 --> 00:35:33.750
with certain tools. that I've worked in recently

00:35:33.750 --> 00:35:38.010
are very concerned over breaches and hacking.

00:35:38.090 --> 00:35:40.630
I know everyone is, but when you're working at

00:35:40.630 --> 00:35:42.809
one of the biggest law firms in the world where

00:35:42.809 --> 00:35:45.090
they're handling, they have tens of thousands

00:35:45.090 --> 00:35:47.130
of clients and they're handling their matters,

00:35:47.750 --> 00:35:50.750
they obviously don't want to be breached because

00:35:50.750 --> 00:35:53.610
it's not just their data, it's all their clients'

00:35:54.210 --> 00:35:58.389
data. And it's critical and it's very private

00:35:58.389 --> 00:36:01.460
data. It just can't be out there. constantly

00:36:01.460 --> 00:36:04.940
having to keep up with protecting those endpoints.

00:36:06.599 --> 00:36:10.960
Yeah, it's gonna be an interesting decade for

00:36:10.960 --> 00:36:13.320
computing. I mean, it always is an interesting

00:36:13.320 --> 00:36:16.880
decade for computing, I guess, but I feel like

00:36:16.880 --> 00:36:23.199
now, especially so, you know, about five years

00:36:23.199 --> 00:36:26.539
ago, I used to talk about using five, maybe six

00:36:26.539 --> 00:36:29.139
years ago, I used to talk about using AI machine

00:36:29.139 --> 00:36:31.619
learning and even quantum computing for fusion

00:36:31.619 --> 00:36:35.599
energy and I used to I spoke at an event at Harvard

00:36:35.599 --> 00:36:38.599
and I heard snickering in the back of the room

00:36:38.599 --> 00:36:41.280
like people thought that this was an impossibility

00:36:41.280 --> 00:36:46.519
and now it's in the ethos of fusion energy as

00:36:46.519 --> 00:36:49.519
how how are we going to use a quantum computing

00:36:49.519 --> 00:36:52.269
lab and their opening of quantum computing lab

00:36:52.269 --> 00:36:56.309
in Princeton dedicated to fusion energy. And

00:36:56.309 --> 00:36:59.329
this happened just a week ago. And it made me

00:36:59.329 --> 00:37:03.630
so happy to see this. Because it was proof that

00:37:03.630 --> 00:37:08.349
I'm not crazy. So that's always good. So that's

00:37:08.349 --> 00:37:13.159
always good. But it was cool to see that. You

00:37:13.159 --> 00:37:15.460
know, I've always seen quantum computing, like

00:37:15.460 --> 00:37:17.900
I've seen quantum computing being applied in

00:37:17.900 --> 00:37:20.019
a financial sense, like algorithmic trading.

00:37:20.300 --> 00:37:23.360
That's really what I've seen. I've seen friends

00:37:23.360 --> 00:37:30.320
use it for drug manufacturing and, you know,

00:37:30.360 --> 00:37:34.119
like basically health research, like cancer research.

00:37:34.139 --> 00:37:39.340
I've seen that. So these are the two areas where

00:37:39.340 --> 00:37:42.099
quantum computing has really taken off and excelled,

00:37:42.099 --> 00:37:45.300
I think. I've heard a lot of talk about quantum

00:37:45.300 --> 00:37:48.119
encryption and how they're going to be quantum

00:37:48.119 --> 00:37:50.260
encryption programs that are going to be for

00:37:50.260 --> 00:37:53.780
banking and hospital use in the future because

00:37:53.780 --> 00:37:58.340
we're going to need it. So I really want fusion

00:37:58.340 --> 00:38:02.380
energy to be like that fourth leg for this. And

00:38:02.380 --> 00:38:04.960
I feel like there's a lot of room, like you said,

00:38:05.019 --> 00:38:11.739
like that supercomputer that at Google that synthesized

00:38:11.739 --> 00:38:16.539
material uh, compositions of 380 ,000 materials

00:38:16.539 --> 00:38:19.239
using the right way. That's phenomenal. Like

00:38:19.239 --> 00:38:22.039
now I think, Hey, what happens if we stick that

00:38:22.039 --> 00:38:25.980
into a quantum computer and speed up that process

00:38:25.980 --> 00:38:30.239
and give it 200 more variables as to like creating

00:38:30.239 --> 00:38:32.519
the perfect product? And I mean, the perfect

00:38:32.519 --> 00:38:35.420
material and wow, like that blows my mind. I

00:38:35.420 --> 00:38:39.679
want to do that badly. Yeah, it's super interesting

00:38:39.679 --> 00:38:42.860
to watch this space. It's all kind of coming

00:38:42.860 --> 00:38:47.599
together in the best ways. So what do you think

00:38:47.599 --> 00:38:52.039
about fusion energy, John? What makes you interested

00:38:52.039 --> 00:38:59.039
in fusion? Well, I mean, that's kind of been

00:38:59.039 --> 00:39:02.840
the holy grail, right? And so that, again, it

00:39:02.840 --> 00:39:05.460
kind of drives into the passion parts of it.

00:39:08.139 --> 00:39:13.820
I'm very interested in energy in general. I'm

00:39:13.820 --> 00:39:17.860
striving personally to get off the grid if I

00:39:17.860 --> 00:39:21.940
can. I live on a very large property kind of

00:39:21.940 --> 00:39:24.159
on a little mountain top and the only thing we

00:39:24.159 --> 00:39:29.480
have here right now still is our Southern California

00:39:29.480 --> 00:39:32.539
Edison is supplying electricity. I'd like to

00:39:32.539 --> 00:39:37.190
get out of that business too. We're on propane.

00:39:37.369 --> 00:39:41.809
I've got Starlink for my internet. I'd like to

00:39:41.809 --> 00:39:44.650
install solar and battery backups and all that

00:39:44.650 --> 00:39:49.929
sort of thing. So I'm very interested in an energy

00:39:49.929 --> 00:39:55.789
future where we can create unlimited energy and

00:39:55.789 --> 00:40:00.110
as clean as possible to drive a lot of these

00:40:00.110 --> 00:40:03.559
clean energy. and help everybody get to the point

00:40:03.559 --> 00:40:05.599
where they can kind of jettison that technology.

00:40:07.280 --> 00:40:12.440
Yeah. Yeah, I think it'll be super cool. I think

00:40:12.440 --> 00:40:16.079
10 years from now, we'll circle back and have

00:40:16.079 --> 00:40:21.059
a conversation about how we use computing to

00:40:21.059 --> 00:40:24.800
crack fusion energy for humanity. I think, you

00:40:24.800 --> 00:40:27.159
know, as a team, we're all environmentalists,

00:40:27.219 --> 00:40:29.860
like we're so I think it's that basic passion

00:40:29.860 --> 00:40:34.260
that drives us. Yeah, I think it's going to be

00:40:34.260 --> 00:40:38.320
super interesting to see what the emerging technologies

00:40:38.320 --> 00:40:42.280
and trends are. To your point, you know, I don't

00:40:42.280 --> 00:40:44.800
have a crystal ball, so I don't know 20 years

00:40:44.800 --> 00:40:48.519
out, right? But right now, you know, in the here

00:40:48.519 --> 00:40:54.119
and now, I have to say digitalization and Internet

00:40:54.119 --> 00:40:56.800
of things is going to factor heavily into this.

00:40:56.860 --> 00:41:01.150
You know, I go out to Palm Springs a lot too,

00:41:01.309 --> 00:41:03.989
and Joshua Tree. I'm actually on the board of

00:41:03.989 --> 00:41:06.909
the National Joshua Tree National Park Association.

00:41:07.909 --> 00:41:10.170
And if you go out there, which I think you've

00:41:10.170 --> 00:41:12.409
gone out there, right Priyanka? That's my favorite

00:41:12.409 --> 00:41:17.489
place on earth, man. It's ours too. And as you

00:41:17.489 --> 00:41:19.309
know, when you're driving out there, you can't

00:41:19.309 --> 00:41:21.469
miss them. You see all the windmills, right?

00:41:21.849 --> 00:41:26.159
The wind turbines. And those have become more

00:41:26.159 --> 00:41:29.000
and more Internet of Things pieces. If you look

00:41:29.000 --> 00:41:31.820
at them, you see all kinds of devices on that

00:41:31.820 --> 00:41:35.460
are measuring things. If something fails, those

00:41:35.460 --> 00:41:38.199
things can catch fire through friction and they'll

00:41:38.199 --> 00:41:41.320
shut them down beforehand. So AI is being used.

00:41:41.980 --> 00:41:44.900
But just the digitalization of that in the energy

00:41:44.900 --> 00:41:47.139
sector for things like Internet of Things and

00:41:47.139 --> 00:41:49.510
artificial intelligence. they're really going

00:41:49.510 --> 00:41:52.449
to enable more efficient and intelligent energy

00:41:52.449 --> 00:41:55.269
management. You've got things like smart meters

00:41:55.269 --> 00:41:59.309
and sensors and internet thing devices that provide

00:41:59.309 --> 00:42:02.710
real -time data on energy consumption, enabling

00:42:02.710 --> 00:42:05.469
predictive maintenance, as I mentioned a moment

00:42:05.469 --> 00:42:09.889
ago, demand response, energy optimization strategies.

00:42:10.449 --> 00:42:13.829
Another one is the integration of AI and predictive

00:42:13.829 --> 00:42:17.780
analytics into energy management systems. It's

00:42:17.780 --> 00:42:20.079
going to enable more efficient operation and

00:42:20.079 --> 00:42:23.719
optimization of energy assets, AI algorithms

00:42:23.719 --> 00:42:26.480
to analyze vast amounts of data in real time

00:42:26.480 --> 00:42:29.639
to predict energy demand and optimize energy

00:42:29.639 --> 00:42:33.880
production and improve grid reliability and contribute

00:42:33.880 --> 00:42:36.480
to overall energy efficiency and sustainability.

00:42:37.679 --> 00:42:43.610
Another one that, you know, I... was into this

00:42:43.610 --> 00:42:46.670
a lot, I need to make more time for it, is blockchain.

00:42:47.010 --> 00:42:50.110
So I got pretty heavily into it when I was at

00:42:50.110 --> 00:42:53.630
the big law firm. And I actually became kind

00:42:53.630 --> 00:42:55.909
of a blockchain expert there. And when people

00:42:55.909 --> 00:42:58.789
hear blockchain, you know, a lot of people hear,

00:42:58.789 --> 00:43:02.630
you know, NFTs and Bitcoin and things of that

00:43:02.630 --> 00:43:06.800
nature. Blockchain, as you know, is so much more

00:43:06.800 --> 00:43:08.980
than that. And it's the underlying technology

00:43:08.980 --> 00:43:11.900
that drives all those things, which may or may

00:43:11.900 --> 00:43:14.659
not be a success. Those things, I mean, NFTs

00:43:14.659 --> 00:43:18.260
and Bitcoin. But blockchain technology offers,

00:43:18.260 --> 00:43:21.139
you know, new opportunities for peer -to -peer

00:43:21.139 --> 00:43:24.659
energy trading, decentralized energy systems,

00:43:25.199 --> 00:43:29.079
and transparent energy transactions. You know,

00:43:29.260 --> 00:43:32.500
blockchain enabled platforms. would enable consumers

00:43:32.500 --> 00:43:35.019
to buy and sell renewable energy directly with

00:43:35.019 --> 00:43:38.179
each other. They could foster greater energy

00:43:38.179 --> 00:43:40.739
independence to our point that we were talking

00:43:40.739 --> 00:43:45.480
about earlier. Resilience and really democratization

00:43:45.480 --> 00:43:49.940
of the energy markets. So I think that blockchain

00:43:49.940 --> 00:43:52.579
is going to factor into a lot of different industries,

00:43:53.119 --> 00:43:56.119
but I think that for proneness, it's going to

00:43:56.119 --> 00:43:59.340
be another key element. Right definitely like

00:43:59.340 --> 00:44:02.079
contracts management things like that at a large

00:44:02.079 --> 00:44:06.780
scale. Yeah, exactly And record -keeping and

00:44:06.780 --> 00:44:09.579
source of truth. That's that's amazing on on

00:44:09.579 --> 00:44:13.719
the on the flip side of it I was I'm in the process

00:44:13.719 --> 00:44:16.719
I kind of have it about 70 % done but I'm in

00:44:16.719 --> 00:44:20.460
the process of writing an article about the future

00:44:20.460 --> 00:44:24.760
of cryptocurrency and how you need fusion energy

00:44:24.760 --> 00:44:27.719
for for such a thing to take off because there

00:44:27.719 --> 00:44:31.079
is there are huge energy constraints when it

00:44:31.079 --> 00:44:35.840
comes to crypto mining. It's been a huge drain

00:44:35.840 --> 00:44:39.199
on the grid in like small cities and people have

00:44:39.199 --> 00:44:42.059
done all kinds of shady things to leverage energy

00:44:42.059 --> 00:44:45.599
prices in different locations. I was reading

00:44:45.599 --> 00:44:47.840
something yesterday and I wish I had the exact

00:44:47.840 --> 00:44:53.329
numbers but the water. that use to pool a lot

00:44:53.329 --> 00:44:56.050
of these systems. I'm pretty sure I read that

00:44:56.050 --> 00:44:59.349
there was as much water was consumed by the state

00:44:59.349 --> 00:45:08.150
of Idaho in a year. So it's tough. You're absolutely

00:45:08.150 --> 00:45:12.670
right. That's a great point. Well, I'm hopeful

00:45:12.670 --> 00:45:14.889
for the future. I think we can make it happen.

00:45:16.840 --> 00:45:20.480
I have friends that are very curious about the

00:45:20.480 --> 00:45:25.340
field. What would a young person trying to get

00:45:25.340 --> 00:45:29.300
into computing and AI and maybe even fusion energy,

00:45:29.619 --> 00:45:33.519
what should they know? Yeah, on the fusion energy

00:45:33.519 --> 00:45:36.500
part, I mean, I think you'd know better than

00:45:36.500 --> 00:45:41.039
I would at this stage at least. But just in technology

00:45:41.039 --> 00:45:45.139
in general, there's so many unique solutions

00:45:45.139 --> 00:45:51.710
out there. When the whole AI and generative AI

00:45:51.710 --> 00:45:56.130
thing started, there was only one or two solutions

00:45:56.130 --> 00:45:58.590
out there that you can play with. And as you

00:45:58.590 --> 00:46:02.210
know now, they're popping up almost daily. You

00:46:02.210 --> 00:46:05.909
can now generate text -based videos, right? You

00:46:05.909 --> 00:46:08.929
type in some prompt text and get a full video

00:46:08.929 --> 00:46:14.920
out of it. What was it? Sora AI. And you know,

00:46:14.960 --> 00:46:18.079
chat GPT, there's a new version. Like I said,

00:46:18.159 --> 00:46:22.860
it's almost daily. You know, Google, Musk is,

00:46:22.860 --> 00:46:25.679
you know, doing his thing as well. So I would

00:46:25.679 --> 00:46:29.619
really encourage people to, a lot of these solutions

00:46:29.619 --> 00:46:32.519
are free, at least the base models, and to get

00:46:32.519 --> 00:46:35.880
them and play with them. And to my point earlier,

00:46:36.159 --> 00:46:39.599
you know, with my wife, even if you've got an

00:46:39.599 --> 00:46:42.809
aversion to you know, generating things and then

00:46:42.809 --> 00:46:47.130
using that as your own work, that's not necessarily

00:46:47.130 --> 00:46:50.309
how you have to use it. You can use it to spawn

00:46:50.309 --> 00:46:54.909
new ideas, to spawn a spring point, right, to

00:46:54.909 --> 00:46:58.250
spring off of it and create something new. So,

00:46:59.329 --> 00:47:01.730
and artists, same thing, right? I know a lot

00:47:01.730 --> 00:47:06.110
of artists are scared right now of the generative

00:47:06.110 --> 00:47:10.659
AI, you know, replacing them. I think as with

00:47:10.659 --> 00:47:14.920
bank ATMs and everything else in our past and

00:47:14.920 --> 00:47:20.780
PCs even, you know, it's a tool. And it's up

00:47:20.780 --> 00:47:25.320
to us how we use that tool. And I think people

00:47:25.320 --> 00:47:28.079
are going to start to realize this, that it's

00:47:28.079 --> 00:47:30.699
actually something that I would encourage people

00:47:30.699 --> 00:47:34.059
to use to make things, make their lives easier,

00:47:34.599 --> 00:47:36.940
right? Circling full back to where we started

00:47:36.940 --> 00:47:40.139
this conversation. you know, how do you make

00:47:40.139 --> 00:47:43.219
your life easier? How do you streamline things

00:47:43.219 --> 00:47:45.900
so that you have time to do other things? How

00:47:45.900 --> 00:47:49.380
do you generate, help yourself generate new ideas

00:47:49.380 --> 00:47:52.280
by using these new technologies? So I would encourage

00:47:52.280 --> 00:47:55.960
people to start there and kind of play around

00:47:55.960 --> 00:47:58.159
with some of these tools and learn these tools

00:47:58.159 --> 00:48:02.280
because they're not going away, right? They're

00:48:02.280 --> 00:48:08.409
going to continue to grow and scale. Yeah, that's

00:48:08.409 --> 00:48:11.909
awesome. Thank you so much, John. Of course.

00:48:12.349 --> 00:48:13.030
Thank you guys
