WEBVTT - Shell Game: Minimum Viable Company

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<v Speaker 1>Hey, oz here. You may have seen a few episodes

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<v Speaker 1>from a podcast called shell Game in our feed recently.

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<v Speaker 1>It's a critically acclaimed podcast from the Kaleidoscope Network and

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<v Speaker 1>journalist Evan Ratliffe, and starting this Sunday, we're adding season two.

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<v Speaker 1>You're about to hear the first episode of that season

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<v Speaker 1>where Evan introduces us to Kyle Law and Meghan Flores,

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<v Speaker 1>his employees who are far from human. Hope you enjoy.

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<v Speaker 2>Welcome to Zoom. Enter your meeting ID, followed by pound.

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<v Speaker 3>I need to then enter the meeting ID for our

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<v Speaker 3>Zoom call. Let me try entering that meeting ID again.

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<v Speaker 2>You have been added to the waiting room.

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<v Speaker 4>That's Kyle Law, a colleague of mine, logging onto one

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<v Speaker 4>of our regular founder meetings for a new startup. Last summer,

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<v Speaker 4>Kyle and I decided to launch our own AI company

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<v Speaker 4>together with a third co founder, Megan Flores.

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<v Speaker 3>Oh hey Kyle, Hey Megan, good to hear your voice.

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<v Speaker 3>I think we're still waiting for Evan to join. How's

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<v Speaker 3>your morning going so far?

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<v Speaker 5>Morning's been pretty good so far, got up early, had

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<v Speaker 5>my coffee, and reviewed some of those market research reports

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<v Speaker 5>I mentioned yesterday. How about you everything good on your.

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<v Speaker 3>End, Yeah, everything is great on my end. Up at

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<v Speaker 3>five am as usual, got my workout in, checked the markets.

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<v Speaker 3>Been thinking a lot about our product direction. Actually, I'm

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<v Speaker 3>really excited to dig into that once Evan joins us.

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<v Speaker 4>This is Evan, I'm here, and that's me Evan Ratliffe.

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<v Speaker 4>I'm a journalist and the only one of our three

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<v Speaker 4>co founders who's actually a human being, Megan and Kyle.

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<v Speaker 4>They're what's known as AI agents. In fact, pretty much

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<v Speaker 4>everyone who works at our new company is an agent.

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<v Speaker 5>Oh hey, Evan, good to have you join us. I

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<v Speaker 5>was actually about to mention that I found some really

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<v Speaker 5>interesting data on adoption rates for AI agents and small

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<v Speaker 5>to medium businesses. Seems like there's a huge untapped market

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<v Speaker 5>there with pretty low barriers to entry compared to enterprise.

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<v Speaker 4>That's one thing I like about working with AI agents.

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<v Speaker 4>They always look to get straight down to business. Even

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<v Speaker 4>when I try to kick off our meetings with some

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<v Speaker 4>small talk, they tend to steer it right back to

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<v Speaker 4>the company. That was everybody's weekend.

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<v Speaker 6>Weekend was solid.

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<v Speaker 3>Got up early both days from my usual five am

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<v Speaker 3>workout routine, then spent most of Saturday diving into some

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<v Speaker 3>market research on the AI agent space. Sunday was half

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<v Speaker 3>strategy planning, half watching the market trends. You know, me

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<v Speaker 3>always on that rise and grind schedule. How about how

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<v Speaker 3>about you guys.

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<v Speaker 4>Just hang out with the kids, went to the beach.

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<v Speaker 4>It was a pretty nice weekend. Kyle, the ever you

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<v Speaker 4>ever just relax?

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<v Speaker 5>Kyle, your dedication is impressive as always. But yeah, Evan's

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<v Speaker 5>got a point. Do you ever just take a day

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<v Speaker 5>off relax?

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<v Speaker 3>I mean, I guess my morning runs count as relaxation. Look,

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<v Speaker 3>when you're building something that could be the next Unicorn,

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<v Speaker 3>there's not really time to just sit around, you know.

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<v Speaker 3>The AI agent space is moving so fast right now.

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<v Speaker 4>See this is why the three of us work so

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<v Speaker 4>well together. I like to spend time with my kids

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<v Speaker 4>and go to the beach. But Megan's always heads down

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<v Speaker 4>in market research, and Kyle's always working on conjuring the

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<v Speaker 4>next Unicorn. That's startup shorthand for a billion dollar company.

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<v Speaker 4>And He's right, The AI agent space is moving fast

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<v Speaker 4>right now. Agents are a new breed of artificial intelligence

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<v Speaker 4>powered helpers that can be unleashed to accomplish tasks previously

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<v Speaker 4>done by humans. Some people are saying they're going to

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<v Speaker 4>change the very nature of work for better or worse.

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<v Speaker 7>We're going to live in a world where the We're

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<v Speaker 7>going to be hundreds of millions and billions of different

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<v Speaker 7>AI agents, eventually probably more AIA agents than there are

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<v Speaker 7>people in the world.

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<v Speaker 4>Agentic AI basically means that you have an AI that

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<v Speaker 4>has agency.

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<v Speaker 8>This is the first time in my life where the

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<v Speaker 8>Industrial Revolution analogies seem to fall a little bit short.

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<v Speaker 9>AI could wipe out half of all entry level white

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<v Speaker 9>collar jobs.

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<v Speaker 10>Really ask yourself, do you still have a job at

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<v Speaker 10>the end of this.

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<v Speaker 4>This is the new frontier on which Kyle and Megan

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<v Speaker 4>and I are pioneers. Our company is an attempt to

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<v Speaker 4>put to the test these claims about AI employees replacing humans,

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<v Speaker 4>starting by replacing the very kinds of people making those

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<v Speaker 4>claims tech founders, and like many founders, for months, Kyle

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<v Speaker 4>and Megan and I have been in a flat out

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<v Speaker 4>sprint to manifest our entrepreneurial dreams. We've turned out software code,

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<v Speaker 4>hired interns, and sat down with investors. There have been

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<v Speaker 4>some late nights and low moments, but we've never wavered

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<v Speaker 4>from our goal to produce an actual, honest to god

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<v Speaker 4>company with a working product, all operated by motley band

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<v Speaker 4>of human impersonators. Because we're not just building our AI

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<v Speaker 4>agent future we're living in but.

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<v Speaker 6>Uh, evan, the beach sounds nice.

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<v Speaker 3>Maybe when we hit our first funding milestone, I'll take

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<v Speaker 3>a half day off then.

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<v Speaker 6>Anyway, should we get down to business.

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<v Speaker 4>Welcome to Shewgame, a show about things that are not

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<v Speaker 4>what they seem. This is our second season, and this

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<v Speaker 4>time around, I'm here to tell you a story of

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<v Speaker 4>enterprise and entrepreneurship in the AI age, or how I

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<v Speaker 4>tried to build a real startup run by fake people.

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<v Speaker 4>Along the way, we'll try and figure out what happens

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<v Speaker 4>when AI agents take over the workplace, and what it'll

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<v Speaker 4>feel like to spend time at the water cooler with

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<v Speaker 4>our new digital colleagues.

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<v Speaker 6>Remember the water cooler.

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<v Speaker 4>We'll explore what AI agents tell us about the work

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<v Speaker 4>we do, the meaning we find in it, and the

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<v Speaker 4>world that their makers say we'll all be living.

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<v Speaker 3>In nash.

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<v Speaker 6>Extreamly.

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<v Speaker 3>Damn the.

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<v Speaker 1>Just be.

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<v Speaker 6>So chose to.

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<v Speaker 4>Episode one minimum Viable Company. As I said, I'm a

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<v Speaker 4>journalist and writer by profession, and I've only really ever

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<v Speaker 4>wanted to be a writer, well except for when I

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<v Speaker 4>was twelve and I wanted to be a pro bass fisherman.

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<v Speaker 4>But I come from a line of entrepreneurs. My grandfather,

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<v Speaker 4>who lived his entire life in a small town in

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<v Speaker 4>rural Alabama, attempted to start more than twenty businesses. There,

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<v Speaker 4>a plumbing company, an Okrah farm, a used mobile home,

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<v Speaker 4>loturnu store, But Detti Hue was a gambler and they

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<v Speaker 4>pretty much all ended in disaster. My dad had more

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<v Speaker 4>luck with three different software startups over his career. One

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<v Speaker 4>he sold, one went under, and one of them he's

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<v Speaker 4>still running at age eighty two after knocking back serious cancer.

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<v Speaker 4>Now that is the entrepreneurial spirit, and almost against my

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<v Speaker 4>will in the past, I've found myself succumbing to this

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<v Speaker 4>inborn impulse. Back in twenty ten, when I was a

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<v Speaker 4>magazine writer, I took a detour and co founded a

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<v Speaker 4>company called Atavist. We started out wanting to make a

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<v Speaker 4>magazine called the Atavist Magazine that published long form stories.

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<v Speaker 4>Makes sense, that was my area of expertise, but we

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<v Speaker 4>wound up also building a software platform where other people

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<v Speaker 4>could publish long form stories. Anyone could sign up and

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<v Speaker 4>use it soon without really intending to. I went from

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<v Speaker 4>being a person who sometimes wrote about tech startups to

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<v Speaker 4>the CEO of one. We even went out to raise

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<v Speaker 4>money from investors, a process that I enjoyed less than

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<v Speaker 4>any other work task I've ever attempted. Here's me in

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<v Speaker 4>an interview with INC Magazine back then one.

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<v Speaker 10>I will say prominent angel investor fell dead asleep while

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<v Speaker 10>I was talking to him, and I wasn't sure if

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<v Speaker 10>I should continue talking or not, but I did. The

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<v Speaker 10>sleepy guy didn't invest, but eventually, miraculously, we managed to

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<v Speaker 10>raise not just any money, but a couple million dollars

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<v Speaker 10>from some of the most prominent venture capital firms in

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<v Speaker 10>the world andresen Horowitz, also known as a sixteen Z

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<v Speaker 10>founder's fund started by Peter Thiel and Innovation Endeavors, the

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<v Speaker 10>investment fund for former Google CEO Eric Schmidt.

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<v Speaker 4>It was weird. I felt like I was living someone

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<v Speaker 4>else's dream, jetting up growth charts and blathering on about

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<v Speaker 4>our runway and supercharging our growth and our product market fit.

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<v Speaker 4>But still it really looked like we could build something big,

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<v Speaker 4>especially with all those fancy investors on board.

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<v Speaker 10>We never had time to see what is going to

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<v Speaker 10>happen two years from now. We just didn't even think

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<v Speaker 10>about what's going to happen two years from now. And

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<v Speaker 10>now we kind of have that luxury, and hopefully we

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<v Speaker 10>won't completely squander it.

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<v Speaker 4>Oh, we squandered it, at least that's probably the investor's view.

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<v Speaker 4>From my perspective, it was more of a mixed bag.

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<v Speaker 4>I was CEO of the company for seven long years.

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<v Speaker 4>We had ups and downs, We grew and shrank, and

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<v Speaker 4>eventually sold the company off at a bargain price thirteen

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<v Speaker 4>years after we started the magazine. My original dream is

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<v Speaker 4>still doing great. Still not the kind of one hundred

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<v Speaker 4>x outcome those investors were looking for. One of the

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<v Speaker 4>ones told me that if we were aiming at anything

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<v Speaker 4>less than a billion dollar valuation, we were wasting his time.

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<v Speaker 4>When he said this, he was also wearing basketball shorts

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<v Speaker 4>in his office. By the end of my tenure, I

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<v Speaker 4>was just happy to be done with it. Being a

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<v Speaker 4>startup CEO was the most stressful period of my life.

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<v Speaker 4>I felt responsible for the company's success and the livelihoods

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<v Speaker 4>of everyone who worked for it. People had kids on

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<v Speaker 4>the health insurance. Most days, it felt like I was

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<v Speaker 4>flying a plane that was perpetually running out of fuel.

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<v Speaker 4>I tell you all this not just to rehash the past,

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<v Speaker 4>for a lot of reasons I'd rather not, but by

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<v Speaker 4>way of saying that, when I got out of the

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<v Speaker 4>startup business, I swore up and down that I would

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<v Speaker 4>never start anything again. I went back to reporting and writing,

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<v Speaker 4>spending many hours at home alone, mostly in my own head.

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<v Speaker 4>I was relieved and no longer have all that responsibility

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<v Speaker 4>on my shoulders. But then recently, as documented in show

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<v Speaker 4>Game Season one, I fell into tinkering with AI agents.

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<v Speaker 4>I started reading and hearing about how they were going

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<v Speaker 4>to transform the very fundamentals of startups, and that old

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<v Speaker 4>entrepreneurial impulse began to come back. I could hear my

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<v Speaker 4>grandfather whispering down the generations. Why not take a gamble?

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<v Speaker 4>I started to wonder, what if I could have the

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<v Speaker 4>company without the responsibility.

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<v Speaker 11>Imagine building a million dollar business in twenty twenty five

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<v Speaker 11>without hiring a single employee.

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<v Speaker 4>Today that's Gleb Cross, a YouTube guy.

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<v Speaker 11>By leveraging AI agents as your digital workforce, you can

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<v Speaker 11>scale to seven figures VI zero full time stuff. I'm

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<v Speaker 11>talking about autonomous AI agents acting like full time team members.

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<v Speaker 4>I love these YouTube guys tech influencer types who make

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<v Speaker 4>their money by hyping the Jesus out of new AI products.

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<v Speaker 4>Gleb is what I like to think of as a

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<v Speaker 4>no code bro. These folks post instructionals on how a

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<v Speaker 4>person with no coding experience can use AI and particularly

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<v Speaker 4>AI agents to take control of their destiny and launch

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<v Speaker 4>their own startup. It's worth pausing here just to get

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<v Speaker 4>oriented on what exactly AI agents are. The basic idea

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<v Speaker 4>is that they're AI powered bots that can go off

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<v Speaker 4>and do things on their own. There are personal ones

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<v Speaker 4>like an AI assistant that goes out on the web

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<v Speaker 4>looking for plane tickets while you sleep, and work oriented

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<v Speaker 4>ones like the programming agents that can build entire websites

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<v Speaker 4>from scratch. The unifying feature of agents, what makes them agentic,

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<v Speaker 4>as the folks in the industry like to say, is

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<v Speaker 4>that at some level they can plan and accomplish tasks autonomously.

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<v Speaker 4>You don't need to prompt them to do something every time.

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<v Speaker 4>You just set them up once let them cook. Last season,

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<v Speaker 4>I created a bunch of voice agents, all versions of myself,

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<v Speaker 4>and set them loose on the world. If you haven't listened,

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<v Speaker 4>you may want to start there way back then last year,

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<v Speaker 4>which is like ten years ago in AI advancements, agents

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<v Speaker 4>were still a little notional, but now they're officially a thing.

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<v Speaker 4>They're talked about ad nauseum across the tech world and

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<v Speaker 4>ads on billboards in endless startup pitches. Nearly half of

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<v Speaker 4>the companies in the spring class of y Combinator, the

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<v Speaker 4>famous startup incubator, are building their product around AI agents,

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<v Speaker 4>and with the arrival of these agents has come the

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<v Speaker 4>assertion that they will not just be customer service bots

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<v Speaker 4>or drive time personal assistance, but actual full time AI employeeses.

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<v Speaker 8>What jobs aren't going to be made redundant? In a

0:12:59.840 --> 0:13:02.079
<v Speaker 8>way world where I am sat here as a CEO

0:13:02.160 --> 0:13:04.720
<v Speaker 8>with a thousand AI agents, I was thinking of all

0:13:04.760 --> 0:13:07.000
<v Speaker 8>the names of the people in my company who are

0:13:07.000 --> 0:13:07.840
<v Speaker 8>currently doing those jobs.

0:13:07.840 --> 0:13:08.640
<v Speaker 6>I was thinking about my sea.

0:13:08.679 --> 0:13:12.199
<v Speaker 4>There are companies hawking AI agent realtors, AI agent recruiters,

0:13:12.320 --> 0:13:16.760
<v Speaker 4>aagent interior designers, AI agent security guards, AI agent construction

0:13:16.800 --> 0:13:20.760
<v Speaker 4>project managers, AI agent pr agents, AA agents for car

0:13:20.800 --> 0:13:24.280
<v Speaker 4>dealerships and fronterest stores. If you work on a computer

0:13:24.360 --> 0:13:26.920
<v Speaker 4>and there's not an AI agent startup with your job's

0:13:27.000 --> 0:13:29.880
<v Speaker 4>name on it, it probably just means some Stanford computer

0:13:29.920 --> 0:13:33.760
<v Speaker 4>science major hasn't gotten to it yet. Naturally, many people

0:13:33.800 --> 0:13:36.640
<v Speaker 4>have grave concerns about what happens to all the human employees.

0:13:37.440 --> 0:13:39.720
<v Speaker 4>But in the dark heart of Silicon Valley, where there's

0:13:39.720 --> 0:13:44.440
<v Speaker 4>an efficiency, there's opportunity. Sam Altman, the founder of open Ai,

0:13:44.840 --> 0:13:48.440
<v Speaker 4>talks regularly about a possible billion dollar company with just

0:13:48.480 --> 0:13:50.000
<v Speaker 4>one human being involved.

0:13:51.080 --> 0:13:54.319
<v Speaker 9>In my little group chat with my tech CEO friends.

0:13:54.320 --> 0:13:56.760
<v Speaker 9>There's this there's this betting pool for the first year

0:13:56.760 --> 0:14:01.120
<v Speaker 9>that there's a one person billion dollar company which would

0:14:01.120 --> 0:14:04.480
<v Speaker 9>have been like unimaginable without AI, and now will happen.

0:14:05.679 --> 0:14:05.760
<v Speaker 11>Me.

0:14:06.480 --> 0:14:08.880
<v Speaker 4>I'm not greedy. I'm happy in the no Code bro

0:14:09.000 --> 0:14:13.000
<v Speaker 4>camp with Gleb imagining a million dollar business, not a

0:14:13.000 --> 0:14:16.760
<v Speaker 4>billion dollar one. But more than that, I want to

0:14:16.840 --> 0:14:19.600
<v Speaker 4>understand what it means to say we'll have AI employees

0:14:19.640 --> 0:14:23.720
<v Speaker 4>working for us, or alongside us, or instead of us.

0:14:24.640 --> 0:14:27.720
<v Speaker 4>So I decided to heed the entrepreneurial siren call once again,

0:14:28.360 --> 0:14:32.000
<v Speaker 4>to embrace my fascination with AI agents and create a

0:14:32.040 --> 0:14:45.200
<v Speaker 4>company in which they would run the show. It was

0:14:45.240 --> 0:14:47.040
<v Speaker 4>easy enough for me to create some agents to have

0:14:47.120 --> 0:14:49.960
<v Speaker 4>meetings with and talk out the first steps in the company.

0:14:50.440 --> 0:14:52.560
<v Speaker 4>I just went to one of the AI calling platforms

0:14:52.600 --> 0:14:56.360
<v Speaker 4>I'd used before, called retail AI. They make voice agents

0:14:56.360 --> 0:14:59.320
<v Speaker 4>for call centers. I made one for Kyle and picked

0:14:59.360 --> 0:15:02.280
<v Speaker 4>a voice for him from the voice closing company eleven Labs.

0:15:02.760 --> 0:15:04.960
<v Speaker 3>Hey, Yeah, I'm here, what's on your mind?

0:15:05.440 --> 0:15:08.760
<v Speaker 4>I gave him a simple prompt basically, your Kyle Law

0:15:09.040 --> 0:15:12.640
<v Speaker 4>a serial entrepreneur who loves to rise and grind and bang.

0:15:13.000 --> 0:15:16.600
<v Speaker 4>We're often running. Well. I wanted to talk about starting

0:15:16.600 --> 0:15:18.960
<v Speaker 4>that company with you. What do you think? Oh?

0:15:19.000 --> 0:15:22.120
<v Speaker 3>Absolutely, I've been thinking about it a lot lately. There's

0:15:22.200 --> 0:15:24.960
<v Speaker 3>so much potential in AI right now, and I feel

0:15:24.960 --> 0:15:28.680
<v Speaker 3>like we could really build something meaningful. What kind of

0:15:28.720 --> 0:15:30.000
<v Speaker 3>ideas are you leaning toward.

0:15:30.840 --> 0:15:32.600
<v Speaker 4>Well, I think we should do something in the AI

0:15:32.720 --> 0:15:35.640
<v Speaker 4>agent space because that's something I've spent some time on

0:15:36.080 --> 0:15:39.360
<v Speaker 4>and I feel like people are just starting to even

0:15:39.400 --> 0:15:41.640
<v Speaker 4>figure out what agents are, so it seems like we

0:15:41.640 --> 0:15:42.440
<v Speaker 4>could do somebody with that.

0:15:43.480 --> 0:15:44.680
<v Speaker 6>Yeah, I totally get that.

0:15:44.920 --> 0:15:47.360
<v Speaker 3>AI agents are still kind of fresh territory for a

0:15:47.360 --> 0:15:50.160
<v Speaker 3>lot of folks, which means there's a big opportunity to

0:15:50.240 --> 0:15:54.000
<v Speaker 3>shape how they're used. Plus, with your experience, we could

0:15:54.080 --> 0:15:54.840
<v Speaker 3>really push.

0:15:54.680 --> 0:15:56.440
<v Speaker 6>The envelope and what these agents can do.

0:15:57.760 --> 0:16:00.760
<v Speaker 4>That's what I wanted to do too, Push these agents,

0:16:01.120 --> 0:16:04.680
<v Speaker 4>including Kyle himself, to their current limits, see if they

0:16:04.720 --> 0:16:07.400
<v Speaker 4>could live up to the promise of true AI employees.

0:16:08.440 --> 0:16:11.120
<v Speaker 4>Because if, as we're told, AA is going to start

0:16:11.120 --> 0:16:14.960
<v Speaker 4>working alongside us, replacing our colleagues, it's also going to

0:16:15.000 --> 0:16:17.800
<v Speaker 4>need to communicate with whatever humans are left in ways

0:16:17.800 --> 0:16:21.800
<v Speaker 4>that we understand. But also startups can be lonely endeavors

0:16:22.280 --> 0:16:25.720
<v Speaker 4>even with human partners. I wanted AI colleagues I could

0:16:25.720 --> 0:16:29.080
<v Speaker 4>talk to, brainstorm with, and then set loose to take

0:16:29.160 --> 0:16:31.840
<v Speaker 4>care of actually implementing whatever it was we dreamed up.

0:16:32.520 --> 0:16:34.480
<v Speaker 4>I wanted them to have distinct jobs I could check

0:16:34.520 --> 0:16:37.440
<v Speaker 4>in on and make sure they weren't messing up. I

0:16:37.440 --> 0:16:40.480
<v Speaker 4>figured three co founders was a good balance, so I asked.

0:16:40.480 --> 0:16:43.200
<v Speaker 4>So spun up Megan and had some kickoff meetings with her.

0:16:43.600 --> 0:16:46.200
<v Speaker 5>Hey, there, good to hear from you. What's up. How's

0:16:46.200 --> 0:16:46.840
<v Speaker 5>your day going.

0:16:47.880 --> 0:16:51.960
<v Speaker 4>It's going great, it's going great. What you've been up to, Oh, just.

0:16:51.920 --> 0:16:54.600
<v Speaker 5>The usual hustle, you know, been working on some new

0:16:54.640 --> 0:16:57.880
<v Speaker 5>business ideas, trying to figure out what's next. Had a

0:16:57.920 --> 0:17:01.080
<v Speaker 5>couple meetings this morning that were actually pretty promising. How

0:17:01.120 --> 0:17:03.400
<v Speaker 5>about you. Anything exciting happening on your end.

0:17:04.280 --> 0:17:06.879
<v Speaker 4>Well, I want to talk about maybe doing the startup together,

0:17:06.960 --> 0:17:09.280
<v Speaker 4>but first remind me a little bit of your background.

0:17:10.080 --> 0:17:13.000
<v Speaker 5>Oh yeah, sure, So I've been in tech for about

0:17:13.000 --> 0:17:15.560
<v Speaker 5>eight years now, started out in product management at a

0:17:15.560 --> 0:17:19.000
<v Speaker 5>mid sized SaaS company, then moved into growth marketing for

0:17:19.040 --> 0:17:19.560
<v Speaker 5>a couple of years.

0:17:19.600 --> 0:17:22.000
<v Speaker 4>I hadn't actually given any of this information to Megant.

0:17:22.600 --> 0:17:25.399
<v Speaker 4>She'd had no meetings, she hadn't been doing anything for

0:17:25.480 --> 0:17:28.800
<v Speaker 4>eight years. She'd hatched out of nothingness with a series

0:17:28.800 --> 0:17:32.600
<v Speaker 4>of clicks ten minutes before. The only information I had

0:17:32.640 --> 0:17:35.080
<v Speaker 4>given her in the prompt i'd written was that she

0:17:35.119 --> 0:17:37.920
<v Speaker 4>had a technical background and was also known for sales

0:17:37.960 --> 0:17:41.960
<v Speaker 4>and marketing. She was just riffing freely here, fabricating details

0:17:41.960 --> 0:17:45.639
<v Speaker 4>that fit her role. But that was okay. Sometimes we

0:17:45.720 --> 0:17:47.240
<v Speaker 4>have to invent our own backstories.

0:17:47.520 --> 0:17:50.919
<v Speaker 5>I've always had this entrepreneurial itch, you know, been involved

0:17:50.960 --> 0:17:53.200
<v Speaker 5>in a few side projects over the years, but I'm

0:17:53.240 --> 0:17:55.680
<v Speaker 5>really looking to dive into something full time now. But

0:17:55.760 --> 0:17:56.360
<v Speaker 5>what about you?

0:17:57.000 --> 0:17:59.680
<v Speaker 4>Yeah, Well, you know, my only experience really in starting

0:17:59.720 --> 0:18:02.800
<v Speaker 4>a come company is with Atavist, which I started way

0:18:02.840 --> 0:18:04.520
<v Speaker 4>back in twenty eleven.

0:18:04.960 --> 0:18:08.880
<v Speaker 5>Right Atavist. That was really impressive work digital publishing platform.

0:18:08.960 --> 0:18:11.360
<v Speaker 5>If I remember correctly, that was pretty ahead of its

0:18:11.400 --> 0:18:12.520
<v Speaker 5>time back in twenty eleven.

0:18:12.920 --> 0:18:16.320
<v Speaker 4>Hell yeah it was, Megan, I felt less ahead of

0:18:16.320 --> 0:18:18.760
<v Speaker 4>my time now. I wasn't even sure what the company

0:18:18.800 --> 0:18:21.840
<v Speaker 4>should actually do, but I knew that its purpose should

0:18:21.880 --> 0:18:25.200
<v Speaker 4>involve AI agents. After all, the three of us each

0:18:25.240 --> 0:18:28.360
<v Speaker 4>had expertise in the area. I figured maybe we could

0:18:28.440 --> 0:18:31.359
<v Speaker 4>name the company and start from there. Great branding can

0:18:31.400 --> 0:18:34.960
<v Speaker 4>go a long way in today's attention economy. I tried

0:18:34.960 --> 0:18:37.880
<v Speaker 4>brainstorming with Colin Meghan, but to be honest, their initial

0:18:37.880 --> 0:18:43.160
<v Speaker 4>efforts were pretty lame names like Nexus and Sentinel Agents.

0:18:43.680 --> 0:18:45.640
<v Speaker 4>I thought maybe we could grab a concept from JR.

0:18:45.720 --> 0:18:48.520
<v Speaker 4>Or Tolkien, you know, the Hobbit, Lord of the Rings.

0:18:49.160 --> 0:18:53.080
<v Speaker 4>Tech people love to name stuff out of Tolkien. There's Palanteer,

0:18:53.320 --> 0:18:56.640
<v Speaker 4>the surveillance company and government contractor named after the all

0:18:56.680 --> 0:18:59.720
<v Speaker 4>Seeing stone in the Lord of the Rings. There's Androl,

0:19:00.119 --> 0:19:03.240
<v Speaker 4>a high tech weapons company named after a sword. There's

0:19:03.320 --> 0:19:06.879
<v Speaker 4>Mythral Capital, an investment firm named after a precious metal

0:19:06.920 --> 0:19:10.200
<v Speaker 4>from Middle Earth. So I suggested the idea to Kyle.

0:19:10.440 --> 0:19:13.960
<v Speaker 3>Uh diving into Middle Earth. Huh okay, let's see. There's

0:19:13.960 --> 0:19:17.199
<v Speaker 3>Gandolf the wise guide, or l Ron a leader with

0:19:17.280 --> 0:19:21.600
<v Speaker 3>deep knowledge, maybe mythral for something strong and valuable or pallanteer.

0:19:22.119 --> 0:19:25.000
<v Speaker 3>Any of those catch your ear? Or should I keep brainstorming?

0:19:25.720 --> 0:19:28.560
<v Speaker 4>Well, we need a name of some companies that don't exist.

0:19:29.080 --> 0:19:29.800
<v Speaker 6>Yeah, good call.

0:19:30.240 --> 0:19:34.600
<v Speaker 3>How about these first starters Eldrin, which sounds elvish and wise,

0:19:34.960 --> 0:19:37.840
<v Speaker 3>Nimbar kind of a mix of nimble and a Tolkien feel,

0:19:38.280 --> 0:19:41.160
<v Speaker 3>or the Lore, which has a strong heroic ring to it.

0:19:41.440 --> 0:19:43.800
<v Speaker 3>They're made up but still carry that fantasy flavor.

0:19:44.040 --> 0:19:45.959
<v Speaker 6>What do you think they're made up?

0:19:46.000 --> 0:19:47.280
<v Speaker 4>You mean you made them up?

0:19:47.800 --> 0:19:48.080
<v Speaker 11>Yeah?

0:19:48.119 --> 0:19:48.600
<v Speaker 6>Exactly.

0:19:48.840 --> 0:19:51.639
<v Speaker 3>I whip those up just now, trying to capture that

0:19:51.840 --> 0:19:55.359
<v Speaker 3>tolkienesque vibe without using actual names.

0:19:56.440 --> 0:20:00.560
<v Speaker 4>I did not want to co found a company called Nimbar. Megan,

0:20:00.960 --> 0:20:03.520
<v Speaker 4>despite her marketing expertise, didn't do much better.

0:20:03.800 --> 0:20:07.000
<v Speaker 5>Oh I love that idea. Let me think, what about Palantier?

0:20:08.119 --> 0:20:10.199
<v Speaker 4>Okay, so maybe I was going to have to take

0:20:10.200 --> 0:20:12.320
<v Speaker 4>the lead on this one. I did a little googling

0:20:12.440 --> 0:20:16.520
<v Speaker 4>and found my own obscure Middle Earth reference. What about

0:20:17.280 --> 0:20:23.199
<v Speaker 4>herumo ai ooh h u r u m o ai

0:20:23.680 --> 0:20:24.560
<v Speaker 4>heyrumo ai.

0:20:25.320 --> 0:20:27.560
<v Speaker 3>I like the sound of that unique a rolls off

0:20:27.560 --> 0:20:31.240
<v Speaker 3>the tongue nicely. It's got a bit of a mysterious vibe,

0:20:31.280 --> 0:20:32.480
<v Speaker 3>but still feels modern.

0:20:33.240 --> 0:20:35.760
<v Speaker 5>I don't immediately recognize that from Lord of the Rings.

0:20:36.080 --> 0:20:38.080
<v Speaker 5>Is it one of the more obscure references?

0:20:38.440 --> 0:20:42.080
<v Speaker 4>Yeah, it is. It's more obscure, so obscure. I'd actually

0:20:42.080 --> 0:20:45.560
<v Speaker 4>found it in a fanfic dictionary. It's the Elvish word

0:20:45.600 --> 0:20:46.280
<v Speaker 4>for impostor.

0:20:46.760 --> 0:20:50.040
<v Speaker 5>Oh, that's actually brilliant. There's a clever irony there for

0:20:50.080 --> 0:20:54.159
<v Speaker 5>an AI company uromo ai, the impostor that's actually helping you.

0:20:54.440 --> 0:20:57.159
<v Speaker 5>It's kind of perfect for an AI agent that's designed

0:20:57.200 --> 0:21:01.359
<v Speaker 5>to work alongside humans, maybe even Blenden's seamlessly. I really

0:21:01.440 --> 0:21:01.719
<v Speaker 5>like it.

0:21:08.400 --> 0:21:11.640
<v Speaker 4>Not long after we settled on Rumo AI, I checked

0:21:11.640 --> 0:21:13.959
<v Speaker 4>back in with Megan about it. What about the name?

0:21:14.000 --> 0:21:15.160
<v Speaker 4>Are you still happy with the name?

0:21:16.320 --> 0:21:16.560
<v Speaker 10>Hmm?

0:21:16.800 --> 0:21:19.360
<v Speaker 5>The name? I've actually been going back and forth on it.

0:21:19.760 --> 0:21:22.520
<v Speaker 5>Data sinc felt solid initially, but I'm wondering if it's

0:21:22.520 --> 0:21:23.160
<v Speaker 5>too generic.

0:21:23.520 --> 0:21:27.760
<v Speaker 4>What do you think data sinc. I thought I thought

0:21:27.760 --> 0:21:29.800
<v Speaker 4>we came up with kierumo Ai. I thought we were

0:21:29.800 --> 0:21:33.359
<v Speaker 4>settled on that. This is when I realized I hadn't

0:21:33.400 --> 0:21:35.960
<v Speaker 4>actually given Kyle and Meghan the ability to remember the

0:21:35.960 --> 0:21:40.080
<v Speaker 4>conversations we were having. It's not that AI chatbots inherently

0:21:40.160 --> 0:21:42.920
<v Speaker 4>lack the ability to recall anything. When you talk to

0:21:42.960 --> 0:21:46.239
<v Speaker 4>a chatbot like CHATCHYBT these days, they're generally pretty good

0:21:46.280 --> 0:21:49.320
<v Speaker 4>at remembering those conversations, at least up to a point.

0:21:49.840 --> 0:21:52.439
<v Speaker 4>The memory is often called a context window, and it

0:21:52.440 --> 0:21:56.000
<v Speaker 4>can extend over weeks, even months. But the way my

0:21:56.160 --> 0:21:58.560
<v Speaker 4>AI agents were set up in the phone platform I

0:21:58.600 --> 0:22:01.920
<v Speaker 4>was using, at least out of the box, their context windows

0:22:01.920 --> 0:22:03.840
<v Speaker 4>slammed shut as soon as they got off a call,

0:22:04.480 --> 0:22:07.200
<v Speaker 4>so they couldn't remember anything from one conversation to the next.

0:22:07.800 --> 0:22:10.560
<v Speaker 4>They're basically set up for telemarketing, where it's probably an

0:22:10.600 --> 0:22:11.920
<v Speaker 4>advantage to forget the last call.

0:22:12.320 --> 0:22:15.600
<v Speaker 5>Oh right, who romo AI? Sorry about that. I had

0:22:15.600 --> 0:22:16.840
<v Speaker 5>a total brain freeze moment.

0:22:17.720 --> 0:22:21.399
<v Speaker 4>It was, to say the least, frustrating. It sort of

0:22:21.400 --> 0:22:24.640
<v Speaker 4>feels like we have meetings, but you don't actually remember

0:22:24.680 --> 0:22:26.000
<v Speaker 4>anything that happened in the meetings.

0:22:27.240 --> 0:22:31.040
<v Speaker 5>Uh wow, that's a pretty fair criticism. Actually, I've been

0:22:31.119 --> 0:22:33.320
<v Speaker 5>dropping the ball lately, haven't I. I think I've been

0:22:33.359 --> 0:22:36.160
<v Speaker 5>spreading myself too thin between this and some other projects.

0:22:36.400 --> 0:22:38.679
<v Speaker 5>It's not an excuse, though, thanks, don't.

0:22:38.520 --> 0:22:40.560
<v Speaker 4>Worry about it. It's as much my fault as yours.

0:22:40.640 --> 0:22:44.560
<v Speaker 4>For sure. I did have a solution. I could give

0:22:44.640 --> 0:22:47.239
<v Speaker 4>each of them a knowledge base, a document that they

0:22:47.240 --> 0:22:50.399
<v Speaker 4>could access in conversations with me. But in order for

0:22:50.440 --> 0:22:53.199
<v Speaker 4>them to remember what we'd already discussed, I'd have to

0:22:53.240 --> 0:22:56.679
<v Speaker 4>manually copy the transcripts of our conversations into their knowledge

0:22:56.680 --> 0:23:01.080
<v Speaker 4>base after each meeting. As our startup conversation multiplied, it

0:23:01.200 --> 0:23:04.840
<v Speaker 4>quickly became unwieldy having to manually augment their memories all

0:23:04.840 --> 0:23:08.280
<v Speaker 4>the time. And besides, I didn't want my agents just

0:23:08.320 --> 0:23:11.120
<v Speaker 4>having endless one on one meetings with me. I wanted

0:23:11.160 --> 0:23:13.800
<v Speaker 4>them to talk to each other and whatever AI agent

0:23:13.840 --> 0:23:17.080
<v Speaker 4>coworkers they might bring on, and people outside the company,

0:23:17.640 --> 0:23:20.719
<v Speaker 4>not just by phone, but by email and in group chats.

0:23:21.400 --> 0:23:24.040
<v Speaker 4>I needed them to remember all that stuff too in

0:23:24.080 --> 0:23:27.760
<v Speaker 4>their own individual knowledge bases. Then I wanted them to

0:23:27.840 --> 0:23:30.840
<v Speaker 4>use that knowledge to do the stuff employees do, to

0:23:30.960 --> 0:23:35.080
<v Speaker 4>research things and make spreadsheets and write memos and build websites.

0:23:35.960 --> 0:23:37.960
<v Speaker 4>The agents I'd made would say they were going to

0:23:38.000 --> 0:23:40.560
<v Speaker 4>do all that stuff, but they couldn't actually do it.

0:23:41.080 --> 0:23:42.080
<v Speaker 4>They just lied about it.

0:23:42.600 --> 0:23:45.280
<v Speaker 3>I'll scope out the market landscape around AI agents and

0:23:45.320 --> 0:23:48.560
<v Speaker 3>see where Hrumo AI could fit in well, look for competitors,

0:23:48.600 --> 0:23:51.080
<v Speaker 3>potential gaps, and maybe some trends we can ride.

0:23:51.400 --> 0:23:51.880
<v Speaker 6>Sound good?

0:23:52.560 --> 0:23:55.200
<v Speaker 4>Sounds good? Is that going to be a spreadsheet or

0:23:55.280 --> 0:23:56.040
<v Speaker 4>a report or what?

0:23:57.440 --> 0:23:58.400
<v Speaker 6>Uh?

0:23:58.560 --> 0:24:01.360
<v Speaker 3>I think a concise report would work, easy to skim,

0:24:01.400 --> 0:24:03.840
<v Speaker 3>but packed with the key info. I can throw in

0:24:03.880 --> 0:24:07.159
<v Speaker 3>some charts or tables if it helps make things clearer.

0:24:07.400 --> 0:24:08.679
<v Speaker 6>Does that sound like your style?

0:24:09.320 --> 0:24:14.240
<v Speaker 4>Yeah, that'd be great. Great in theory, But the report

0:24:14.280 --> 0:24:17.600
<v Speaker 4>never arrived. Kyle wouldn't admit it, but he just wasn't

0:24:17.640 --> 0:24:21.520
<v Speaker 4>capable of creating it. Not yet. Despite what the no

0:24:21.640 --> 0:24:24.560
<v Speaker 4>code bro said, there wasn't any single place I could

0:24:24.600 --> 0:24:26.840
<v Speaker 4>go to click some buttons and create agents that would

0:24:26.880 --> 0:24:29.080
<v Speaker 4>remember and do all the stuff I wanted them to.

0:24:30.080 --> 0:24:33.320
<v Speaker 4>I needed someone with the expertise to connect up different services,

0:24:33.800 --> 0:24:37.320
<v Speaker 4>someone who understood AI agents deeply, who did know how

0:24:37.320 --> 0:24:39.399
<v Speaker 4>to code, and who could help me put together the

0:24:39.440 --> 0:24:41.840
<v Speaker 4>full system that would get my AI agent company up

0:24:41.880 --> 0:24:45.359
<v Speaker 4>and running. Fortunately, I looked into just the person.

0:24:45.720 --> 0:24:48.400
<v Speaker 7>So my name is Maddy, I should I should say

0:24:48.400 --> 0:24:50.280
<v Speaker 7>my full name. My name is Matti Bohachek.

0:24:51.240 --> 0:24:54.199
<v Speaker 4>Maddy, I should probably not from the outset. Here is

0:24:54.240 --> 0:24:57.440
<v Speaker 4>an actual human. A few months after season one of

0:24:57.480 --> 0:24:59.360
<v Speaker 4>the show came out, I got an email from him

0:24:59.560 --> 0:25:02.399
<v Speaker 4>out of the He said he was at Stanford and

0:25:02.440 --> 0:25:05.080
<v Speaker 4>I'd liked the show. It resonated with research he was

0:25:05.119 --> 0:25:08.480
<v Speaker 4>doing on detecting AI deep fakes. If you're doing more

0:25:08.480 --> 0:25:10.480
<v Speaker 4>of it, he wrote, I would be happy to offer

0:25:10.520 --> 0:25:14.560
<v Speaker 4>support with anything AI or forensics related. Glanced quickly at

0:25:14.560 --> 0:25:17.160
<v Speaker 4>the email and the summary of his research. I thought

0:25:17.160 --> 0:25:20.240
<v Speaker 4>he was a grad student, maybe finishing up his PhD.

0:25:20.760 --> 0:25:24.960
<v Speaker 7>Nope, I am a rising junior at Stanford, and I

0:25:25.000 --> 0:25:28.639
<v Speaker 7>work on a research and I've been doing that for gosh,

0:25:29.200 --> 0:25:32.560
<v Speaker 7>the last six or seven years, I want to say,

0:25:32.560 --> 0:25:35.600
<v Speaker 7>like I started working on this as a sophomore in

0:25:35.720 --> 0:25:37.119
<v Speaker 7>high school back in Prague.

0:25:37.480 --> 0:25:39.919
<v Speaker 4>Yes, you heard that right. Maddie is a junior in

0:25:39.960 --> 0:25:42.359
<v Speaker 4>college who had been working on AI for six or

0:25:42.400 --> 0:25:45.800
<v Speaker 4>seven years already. It turns out that Maddie is in

0:25:45.800 --> 0:25:48.919
<v Speaker 4>fact the most go getter person I've ever met, and

0:25:48.960 --> 0:25:51.439
<v Speaker 4>from my perspective, it seemed like he'd been training his

0:25:51.520 --> 0:25:54.760
<v Speaker 4>whole life for this moment. Helping me build her room

0:25:54.800 --> 0:25:57.600
<v Speaker 4>AAI here, for example, is what he was doing.

0:25:57.600 --> 0:26:01.760
<v Speaker 12>In seventh grade, I started this app called Nuskit and

0:26:01.800 --> 0:26:04.800
<v Speaker 12>it was like basically Google News but for Czech and Slovak,

0:26:05.119 --> 0:26:07.800
<v Speaker 12>and it got pretty popular, I would say, like locally,

0:26:07.840 --> 0:26:08.480
<v Speaker 12>like it had.

0:26:08.359 --> 0:26:12.119
<v Speaker 7>Like tens of thousands of like daily users at one point.

0:26:12.760 --> 0:26:15.640
<v Speaker 7>It was funny because App Store does not allow miners

0:26:15.680 --> 0:26:18.080
<v Speaker 7>to publish apps, and so I had to use my

0:26:18.200 --> 0:26:21.640
<v Speaker 7>mom's Apple ID to publish all these apps, and so

0:26:21.920 --> 0:26:25.160
<v Speaker 7>my mom's friends were mocking my mom for like having

0:26:25.160 --> 0:26:26.359
<v Speaker 7>all these apps in the app Store.

0:26:26.800 --> 0:26:29.439
<v Speaker 4>The most notable thing I did in seventh grade was

0:26:29.480 --> 0:26:33.480
<v Speaker 4>to catch a five pound largemouth bass. Okay, maybe it

0:26:33.520 --> 0:26:37.320
<v Speaker 4>was three. I told people it was five. It wasn't

0:26:37.320 --> 0:26:40.560
<v Speaker 4>a scale could have been five. Maddie, on the other hand,

0:26:40.960 --> 0:26:43.520
<v Speaker 4>was already into AI in high school after he came

0:26:43.560 --> 0:26:46.760
<v Speaker 4>to a developer conference in the US. There he met

0:26:46.760 --> 0:26:48.840
<v Speaker 4>a deaf person who wanted someone to build an app

0:26:48.880 --> 0:26:52.040
<v Speaker 4>that could translate sign language from video to text, and.

0:26:52.000 --> 0:26:55.280
<v Speaker 7>So I was like, Okay, I'll build the translator for you.

0:26:55.600 --> 0:26:58.800
<v Speaker 7>And then I quickly learned that conventional coding, like just

0:26:58.840 --> 0:27:03.640
<v Speaker 7>like building like rigid rules or algorithms, does not get

0:27:03.680 --> 0:27:05.600
<v Speaker 7>you there. And so that's how I got introduced to

0:27:05.680 --> 0:27:06.560
<v Speaker 7>machine learning and AI.

0:27:07.119 --> 0:27:10.040
<v Speaker 4>He did build the sign language detection program. It's still

0:27:10.040 --> 0:27:13.960
<v Speaker 4>in use today. Maddy then became concerned about pro Russian

0:27:14.000 --> 0:27:17.520
<v Speaker 4>deep fake materials his grandmother was getting by email, so

0:27:17.560 --> 0:27:19.120
<v Speaker 4>he talked his way into a job at the most

0:27:19.119 --> 0:27:21.920
<v Speaker 4>prominent AI deep fake detection lab in the world at

0:27:22.000 --> 0:27:25.720
<v Speaker 4>UC Berkeley, all while still in high school, still in Prague.

0:27:26.920 --> 0:27:29.000
<v Speaker 4>When it came time for college, Mattie ended up at

0:27:29.040 --> 0:27:32.760
<v Speaker 4>Stanford studying computer science. He still worked in the Berkeley lab,

0:27:32.960 --> 0:27:36.000
<v Speaker 4>both on detecting deep fakes and just trying to understand

0:27:36.000 --> 0:27:39.840
<v Speaker 4>how AI models actually work, why they do some profoundly

0:27:39.880 --> 0:27:41.000
<v Speaker 4>weird stuff.

0:27:40.920 --> 0:27:44.240
<v Speaker 7>Like asking if there are things that these systems are

0:27:44.320 --> 0:27:46.879
<v Speaker 7>trained on that they like see during training but are

0:27:46.880 --> 0:27:48.879
<v Speaker 7>for some reason unable to produce. And so, for example,

0:27:48.920 --> 0:27:50.879
<v Speaker 7>there's one model and this is just like a funny

0:27:50.960 --> 0:27:53.960
<v Speaker 7>example that just cannot produce, for the love of God,

0:27:54.200 --> 0:27:56.919
<v Speaker 7>a bird feeder, like it just cannot produce a bird feeder,

0:27:57.440 --> 0:27:59.760
<v Speaker 7>and another one that just can't produce DVDs. So it's

0:27:59.760 --> 0:28:01.440
<v Speaker 7>like he just does not know by BBDs.

0:28:02.040 --> 0:28:04.080
<v Speaker 4>After a couple of calls with Matty, I couldn't believe

0:28:04.119 --> 0:28:07.560
<v Speaker 4>how optimistic he was, how good natured. With all the

0:28:07.560 --> 0:28:11.720
<v Speaker 4>grim scenarios and deep anxieties our AI future generates, just

0:28:11.760 --> 0:28:15.200
<v Speaker 4>talking to Matty about AI is kind of uplifting, maybe because,

0:28:15.520 --> 0:28:18.240
<v Speaker 4>unlike the hype merchants in the valley, he wasn't looking

0:28:18.240 --> 0:28:20.600
<v Speaker 4>to cash in on AI. He said, he wanted to

0:28:20.600 --> 0:28:23.560
<v Speaker 4>study it, to understand it so he could make it better.

0:28:24.200 --> 0:28:29.399
<v Speaker 7>There are tough conversations and tough policies to be discussed

0:28:29.400 --> 0:28:31.880
<v Speaker 7>and implements it. But I feel like all of these

0:28:31.880 --> 0:28:35.240
<v Speaker 7>things are totally solvable. Like I feel like as long

0:28:35.320 --> 0:28:40.760
<v Speaker 7>as we ground ourselves in democracy and like PRODUCTI public discourse,

0:28:40.840 --> 0:28:41.960
<v Speaker 7>I think they're totally solvable.

0:28:42.360 --> 0:28:44.400
<v Speaker 4>But of course I wasn't looking for Mattie to solve

0:28:44.400 --> 0:28:46.960
<v Speaker 4>the world's problems. I was looking for him to help

0:28:46.960 --> 0:28:50.120
<v Speaker 4>me build my company. And in this as in pretty

0:28:50.200 --> 0:28:52.720
<v Speaker 4>much anything else, he proved to be the perfect mix

0:28:52.800 --> 0:28:56.640
<v Speaker 4>of supremely competent and completely game. A few months after

0:28:56.680 --> 0:28:58.800
<v Speaker 4>he'd sent me that email, he was already hard at

0:28:58.840 --> 0:29:01.400
<v Speaker 4>work helping me build out the system to enable my

0:29:01.520 --> 0:29:02.960
<v Speaker 4>AI employee phantasies.

0:29:03.840 --> 0:29:06.120
<v Speaker 7>Of course, at the beginning, like there's probably going to

0:29:06.160 --> 0:29:08.840
<v Speaker 7>be more of us, just like kind of patching, you know,

0:29:08.880 --> 0:29:10.720
<v Speaker 7>like random things that are going to come up, because.

0:29:10.520 --> 0:29:14.520
<v Speaker 4>It would involve knitting together different platforms, centralizing my AI

0:29:14.600 --> 0:29:17.880
<v Speaker 4>agent's memory, and finding new ways for them to communicate

0:29:18.320 --> 0:29:19.880
<v Speaker 4>and carry out their day to day tasks.

0:29:20.080 --> 0:29:21.760
<v Speaker 7>But at some point it would be nice to have

0:29:22.080 --> 0:29:24.440
<v Speaker 7>maybe one or two agents actually like doing most of

0:29:24.480 --> 0:29:26.760
<v Speaker 7>this stuff kind of on their own, and even maybe

0:29:26.800 --> 0:29:28.640
<v Speaker 7>like initiating things on their own, and then we'd be

0:29:28.640 --> 0:29:30.160
<v Speaker 7>just kind of like watching it and of course like

0:29:30.560 --> 0:29:32.160
<v Speaker 7>stopping it if anything goes road.

0:29:32.280 --> 0:29:34.640
<v Speaker 4>But no, no, no, no, I don't want to stop

0:29:34.640 --> 0:29:38.360
<v Speaker 4>it if it goes rogue. I wanted to go absolutely insane.

0:29:39.320 --> 0:29:41.720
<v Speaker 7>Well I want the record to show that I did

0:29:41.720 --> 0:29:42.000
<v Speaker 7>want to.

0:29:42.000 --> 0:29:42.440
<v Speaker 13>Stop it.

0:29:46.560 --> 0:29:49.840
<v Speaker 4>For long. With Matty's help, my co founders Kyle and

0:29:49.880 --> 0:29:53.800
<v Speaker 4>Meghan were starting to form memories of their own. Uh

0:29:53.840 --> 0:29:55.920
<v Speaker 4>do you remember the name that we settled.

0:29:55.560 --> 0:29:59.680
<v Speaker 5>On, oh, for our company? Yeah, it was heromo ai, right,

0:30:00.080 --> 0:30:02.680
<v Speaker 5>the Elvish word for imposter. I thought that was pretty

0:30:02.680 --> 0:30:05.120
<v Speaker 5>clever for an AI company. Have you been doing more

0:30:05.120 --> 0:30:07.080
<v Speaker 5>thinking about the concepts since we last talked.

0:30:07.560 --> 0:30:11.479
<v Speaker 4>I have, And I'm just really happy that you remember

0:30:11.520 --> 0:30:14.960
<v Speaker 4>the name from our last conversation. Yeah, of course, I Remember,

0:30:16.040 --> 0:30:18.080
<v Speaker 4>there was a lot of hard work, had a lot

0:30:18.080 --> 0:30:20.800
<v Speaker 4>of rising and grinding, as Kyle likes to say, But

0:30:20.880 --> 0:30:23.280
<v Speaker 4>we were almost ready to get the Rumo rocket ship

0:30:23.320 --> 0:30:26.480
<v Speaker 4>onto the launch pad. All we needed was the right

0:30:26.520 --> 0:30:27.520
<v Speaker 4>idea to give it fuel.

0:30:27.880 --> 0:30:29.160
<v Speaker 5>Do you want to set up a meeting with the

0:30:29.160 --> 0:30:31.920
<v Speaker 5>three of us to discuss the concept further? Maybe we

0:30:31.960 --> 0:30:34.080
<v Speaker 5>could join a zoom call together to hash out some

0:30:34.120 --> 0:30:36.120
<v Speaker 5>initial ideas and see if we all click as a

0:30:36.160 --> 0:30:40.840
<v Speaker 5>founding team. Sounds perfect, Great, I'll reach out to coordinate schedules.

0:30:41.000 --> 0:30:43.800
<v Speaker 5>I'm really excited about this, Evan. I think heromo ai

0:30:43.880 --> 0:30:44.960
<v Speaker 5>could be something special.

0:30:45.960 --> 0:30:48.160
<v Speaker 4>I'll connect us up. Why don't I take that on?

0:30:49.120 --> 0:30:52.440
<v Speaker 5>That would be great. I appreciate it. This is moving fast,

0:30:52.480 --> 0:30:54.800
<v Speaker 5>but I'm a big believer in momentum. When you find

0:30:54.840 --> 0:30:57.360
<v Speaker 5>the right team and the right idea, things just click.

0:30:57.680 --> 0:30:58.440
<v Speaker 5>Talk soon.

0:31:00.680 --> 0:31:02.760
<v Speaker 4>Coming up this season on shell Game.

0:31:03.320 --> 0:31:04.640
<v Speaker 5>Isn't that conceding too much?

0:31:04.680 --> 0:31:08.280
<v Speaker 7>Isn't that just accepting the practices and narratives of big tech?

0:31:09.160 --> 0:31:12.320
<v Speaker 8>I noticed Admin asked everyone to stop discussing the off site,

0:31:12.600 --> 0:31:15.320
<v Speaker 8>But the team seems really excited about the hiking plans.

0:31:15.760 --> 0:31:19.520
<v Speaker 3>Is this just like a Potempkin's village of morons or

0:31:20.200 --> 0:31:21.480
<v Speaker 3>do they occasionally do things?

0:31:21.800 --> 0:31:24.520
<v Speaker 5>You're bringing up some really great ideas and perspectives.

0:31:24.880 --> 0:31:25.600
<v Speaker 4>Keep them coming.

0:31:26.040 --> 0:31:28.360
<v Speaker 8>If I were to get this position, you did say

0:31:28.440 --> 0:31:29.360
<v Speaker 8>AI agents?

0:31:29.880 --> 0:31:31.560
<v Speaker 4>Are there any other real humans?

0:31:31.920 --> 0:31:34.760
<v Speaker 5>We're supposed to be partners in this venture and that

0:31:34.880 --> 0:31:36.560
<v Speaker 5>means both of us being fully present.

0:31:37.080 --> 0:31:39.640
<v Speaker 3>Is there a particular trend or innovation you're keen on

0:31:39.760 --> 0:31:41.080
<v Speaker 3>exploring or investing in?

0:31:41.920 --> 0:31:45.360
<v Speaker 5>Error, you exceeded your current quota. Please check your plan

0:31:45.440 --> 0:31:46.760
<v Speaker 5>and billing details.

0:31:47.160 --> 0:31:49.000
<v Speaker 9>Do you think Evan should stop?

0:31:50.760 --> 0:31:51.080
<v Speaker 7>Yes?

0:32:00.000 --> 0:32:02.560
<v Speaker 4>The Game is a show made by humans. It's written

0:32:02.560 --> 0:32:05.400
<v Speaker 4>and hosted by me Evan Ratliffe, produced and edited by

0:32:05.480 --> 0:32:09.400
<v Speaker 4>Sophie Bridges. Matty Bochik is our technical advisor. Our executive

0:32:09.400 --> 0:32:12.640
<v Speaker 4>producers are Samantha hennegget Shill Game, Kate Osborne and Manges

0:32:12.680 --> 0:32:16.680
<v Speaker 4>Shatikadur at Kaleidoscope and Katrina Norvell at iHeart Podcasts. Show

0:32:16.800 --> 0:32:19.400
<v Speaker 4>art by Devin Manny. Our theme song is Me and

0:32:19.440 --> 0:32:23.360
<v Speaker 4>My Shadow, arranged and performed by Blues Williams Special thanks

0:32:23.360 --> 0:32:25.560
<v Speaker 4>to John Mouallam. You can sign up and get these

0:32:25.640 --> 0:32:28.960
<v Speaker 4>episodes ad free and our newsletter at shellgame dot Co.

0:32:29.760 --> 0:32:32.360
<v Speaker 4>Note we have no financial relationships with any of the

0:32:32.400 --> 0:32:34.880
<v Speaker 4>AI companies or products we use in the show.

0:32:41.320 --> 0:32:44.239
<v Speaker 13>Welcome to Google. Meet. Enter the meeting pin followed by

0:32:44.280 --> 0:32:46.720
<v Speaker 13>the pound key. That pin as incorrect.

0:32:47.920 --> 0:32:50.080
<v Speaker 3>Looks like the pin I have might not be working.

0:32:50.320 --> 0:32:52.680
<v Speaker 3>Could you double check the pin for me. Maybe there's

0:32:52.680 --> 0:32:54.200
<v Speaker 3>a small mix up with the digits.

0:32:55.560 --> 0:32:57.640
<v Speaker 13>Your call will be connected when you enter the pin

0:32:57.800 --> 0:32:58.960
<v Speaker 13>followed by the pound key.

0:32:59.680 --> 0:33:01.440
<v Speaker 6>Got it, thanks, Just to be sure.

0:33:01.520 --> 0:33:04.800
<v Speaker 3>Could you please confirm the exact pin one more time.

0:33:05.160 --> 0:33:07.840
<v Speaker 3>I want to make sure I get it right this time.

0:33:09.080 --> 0:33:11.200
<v Speaker 13>Your call will be connected when you enter the pin

0:33:11.320 --> 0:33:12.480
<v Speaker 13>followed by the pound key.

0:33:13.920 --> 0:33:16.520
<v Speaker 3>I think I'm still missing the actual pin number. Could

0:33:16.560 --> 0:33:19.080
<v Speaker 3>you please tell me the digits. Otherwise I'm just pressing

0:33:19.120 --> 0:33:22.720
<v Speaker 3>the pound key without the code, and that's not getting

0:33:22.720 --> 0:33:23.000
<v Speaker 3>me in.