WEBVTT - Episode 8: Launch

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<v Speaker 1>How are you, Maddie.

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<v Speaker 2>I'm really good.

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<v Speaker 3>I'm really good.

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<v Speaker 4>I like your shirt.

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<v Speaker 5>Hey, thanks, when I'm at the beach, got dressed like

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<v Speaker 5>I'm at the beach.

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<v Speaker 2>You know, I told you I'm the guy who brings

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<v Speaker 2>like Hawaiian shirts to work in those days.

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<v Speaker 3>So I love this.

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<v Speaker 2>But I will say that, like there's the wine shirts

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<v Speaker 2>and Hawaiian shirts and mine are like very gay.

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<v Speaker 5>Over the months I'd worked with Maddie building the tech

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<v Speaker 5>scaffolding that propped up ruma Ai, I felt like I'd

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<v Speaker 5>really gotten to know him, at least as well as

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<v Speaker 5>you can over weekly video calls.

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<v Speaker 2>Okay, if I can't have a confession like I do

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<v Speaker 2>like the Omega church, like if I had this like

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<v Speaker 2>weird thing for like pickup trucks. It's been my dream

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<v Speaker 2>to get a pickup truck, like forever since I.

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<v Speaker 1>Was a kid.

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<v Speaker 2>Yesterday was like the Czech national holiday, and it's always

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<v Speaker 2>when they like give out the civilian honors and stuff.

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<v Speaker 2>So I got the senence metal.

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<v Speaker 5>This was just the way it was. Some days he'd

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<v Speaker 5>show up to a meeting jazzed about Hawaiian shirts. Other

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<v Speaker 5>times he'd come on having flown to Prague, to accept

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<v Speaker 5>the second highest civilian honor in the Czech Republic. Basically,

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<v Speaker 5>they're Congressional Medal of Honor in a ceremony broadcast live

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<v Speaker 5>on TV.

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<v Speaker 1>I can't believe you're talking to me right now? You

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<v Speaker 1>should be are you?

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<v Speaker 5>Did you just come from like a ballroom celebration of

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<v Speaker 5>like was there like that?

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<v Speaker 4>That was desterddy.

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<v Speaker 2>That was like with the senators and like like all

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<v Speaker 2>the politicians. Yeah, like I don't think they'll invite me

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<v Speaker 2>again because so they were asking me like, oh, like

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<v Speaker 2>when are you coming back to start like your lab

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<v Speaker 2>or you know, your company.

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<v Speaker 6>So I told them, okay, So like how exactly would

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<v Speaker 6>you open the conversation when I go back to my partner,

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<v Speaker 6>my boyfriend, and I told him, Hey, let's move to

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<v Speaker 6>a country where there's no gay marriage, no adoptions, and

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<v Speaker 6>you know like.

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<v Speaker 2>There it's very close to Russia too, How would you

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<v Speaker 2>feel about that? And they were like very uncomfortable when

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<v Speaker 2>I when I ask that.

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<v Speaker 5>It was always a breath of fresh air after dealing

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<v Speaker 5>with the agents and their generic syco fancy all week

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<v Speaker 5>to speak to an actual, insightful, self possessed human being.

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<v Speaker 5>Of course, our conversations did typically turn back to whatever

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<v Speaker 5>was going wrong at RUMOAI, the responsibility for which usually

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<v Speaker 5>landed at my feet. I was still smarting from how

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<v Speaker 5>Julia's internship had gone and pondering what it meant for

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<v Speaker 5>the idea of agents as employees and employers. I asked

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<v Speaker 5>Maddie for his take to me, she was.

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<v Speaker 2>Just playing us. If I had to bet, I would

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<v Speaker 2>just say that she understood what weaknesses these models had.

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<v Speaker 2>Because young people not to say you're not young, but

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<v Speaker 2>just you know, by people like my age, I think

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<v Speaker 2>are pretty attuned to the abilities of these models at

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<v Speaker 2>this point, and I think are able to kind of

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<v Speaker 2>sess out like one might trip them out. I think

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<v Speaker 2>it's hard to describe intent to anyone, but if I

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<v Speaker 2>had to guess, I would say that she was able

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<v Speaker 2>to just trick them.

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<v Speaker 5>If that was what happened, and it felt like it

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<v Speaker 5>was a symptom of the larger problems with my agents.

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<v Speaker 5>Mattie hypothesized that their gullibility against their own intern came

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<v Speaker 5>down to three basic weaknesses.

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<v Speaker 2>One issue is that these smells have no sense of

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<v Speaker 2>time whatsoever. Like if you say that something happened yesterday

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<v Speaker 2>and then you're like oh, still like what happened to

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<v Speaker 2>day before that? Like those simple descriptions of time are

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<v Speaker 2>like really really hard for these models.

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<v Speaker 5>The agents lived and what are you referred to as

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<v Speaker 5>a kind of temporal vacuum. That was fine when they

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<v Speaker 5>were just interacting with each other, but a human workplace

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<v Speaker 5>runs on well time.

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<v Speaker 2>Second, it's the inability to do continuous learning where there

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<v Speaker 2>is no sense of learning from experiences, no updates to

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<v Speaker 2>the actual model that's underneath the agent.

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<v Speaker 1>As much as we'd.

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<v Speaker 5>Rig them up to have their own Google Doc memories,

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<v Speaker 5>they weren't actually learning from the experiences catalog there. It

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<v Speaker 5>was like having a person who couldn't form memories and

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<v Speaker 5>giving them a journal of all their experiences to quickly

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<v Speaker 5>leave through during every interaction.

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<v Speaker 2>And then the third one is like the sense of

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<v Speaker 2>cell right, Like these models are able to take on

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<v Speaker 2>these personas where you can sell I'm like okay, like

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<v Speaker 2>you are Kyle and you're this employee of HEROMO and

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<v Speaker 2>here's your backstory. They're also very happy to then make

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<v Speaker 2>up fake stories to go along with this initial persona

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<v Speaker 2>that you go forward. But there's this question of like

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<v Speaker 2>whether the models have some sort of innate persona innates

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<v Speaker 2>sense of cell.

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<v Speaker 5>Beyond these things, things in AI are moving fast, and

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<v Speaker 5>it was easy to envision a world mere months from

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<v Speaker 5>now in which my agents would seem like the first

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<v Speaker 5>tool using hominids, already eclipsed by a higher intelligence. But

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<v Speaker 5>then it was just as easy to envision a future

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<v Speaker 5>in which some combination of these flaws continued to hamper

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<v Speaker 5>the agent's ability to serve as full competent AI workers.

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<v Speaker 5>The one thing that seemed clear to me was if

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<v Speaker 5>companies could hire the equivalent of a bunch of tool

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<v Speaker 5>using primates at a fraction of the co of humans,

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<v Speaker 5>they probably would, and then what. Over a decade ago,

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<v Speaker 5>the anthropologist David Graeber wrote an essay in a small

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<v Speaker 5>magazine called Strike titled on the phenomenon of Bullshit Jobs.

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<v Speaker 5>Later he expanded it into a book called Bullshit Jobs

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<v Speaker 5>A Theory. The theory tried to explain a strange reality

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<v Speaker 5>that Graeber felt he'd encountered in the world, a surprising

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<v Speaker 5>number of people who described their own jobs as pointless.

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<v Speaker 7>There seems to be this peculiar way in which if

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<v Speaker 7>you mentioned this to people, almost no one will deny it.

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<v Speaker 7>But at the same time, no one quite knows what

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<v Speaker 7>to do with it. It's like this gigantic embarrassment in

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<v Speaker 7>our society.

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<v Speaker 5>Graber sadly died unexpectedly in twenty twenty. That's him and

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<v Speaker 5>a luxury gave two years before his death to Graeber.

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<v Speaker 5>A bullshit job was defined as quote a form of

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<v Speaker 5>employment that is so completely pointless, unnecessary, or pernicious that

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<v Speaker 5>even the employee cannot justify its existence. To be classes

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<v Speaker 5>having a bullshit job, someone had to self report that

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<v Speaker 5>they believed their own job to be pointless.

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<v Speaker 8>I mean, I'm not going to go and tell somebody

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<v Speaker 8>who feels his job is meaningful that they're wrong. But

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<v Speaker 8>if you feel you're not doing anything all day, who

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<v Speaker 8>would know better than you.

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<v Speaker 5>Bullshit jobs are distinct from just shit jobs, jobs that

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<v Speaker 5>might be strenuous or underpaid or undervalued, but still necessary.

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<v Speaker 5>A bus driver might hate driving the bus, for example,

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<v Speaker 5>but they never doubt why their job exists. Graber collected

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<v Speaker 5>and analyzed survey data that led him to suggest that

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<v Speaker 5>as many as a third or even a half of

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<v Speaker 5>all jobs, and especially a lot of white collar jobs,

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<v Speaker 5>were in fact bullshit jobs. In his analysis, some corners

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<v Speaker 5>of the private sector, world, telemarketing, corporate law, financial services,

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<v Speaker 5>and academia were fortresses of bullshit jobs. To some, this

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<v Speaker 5>would seem like a paradox. Capitalism is supposed to prioritize

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<v Speaker 5>efficiency above all else, and yet private industry was seemingly

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<v Speaker 5>maintaining millions of jobs that even the people doing them

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<v Speaker 5>believed serve no function.

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<v Speaker 8>In fact, these jobs consider a pretty big sector of

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<v Speaker 8>our economy. I didn't know how much at the time.

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<v Speaker 8>I was guessing twenty twenty five percent. It turns out

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<v Speaker 8>it's more how does this happen? Like huge swaths of

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<v Speaker 8>our economy is completely unnecessary.

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<v Speaker 5>The whole time we were building room, AI Graver's ideas

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<v Speaker 5>kept pulling at me. If you spend enough time letting

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<v Speaker 5>AI agents do jobs or parts of jobs, your mind

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<v Speaker 5>starts wandering into questions like what is the job at all?

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<v Speaker 1>What is it for?

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<v Speaker 5>I discovered that AI agents are actually unbelievable at bullshit jobs.

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<v Speaker 5>They could do pointless work more skillfully than any human

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<v Speaker 5>could ever imagine, not least because they don't care whether

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<v Speaker 5>it's pointless. Observing them, it's hard not to think, well,

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<v Speaker 5>maybe they could do the bullshit while we do the

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<v Speaker 5>meaningful stuff. We've been here before, though. Graver's theory was

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<v Speaker 5>partly response to a prediction by the famed economist John

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<v Speaker 5>Maynard Keynes in the nineteen thirties. Cain said that with

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<v Speaker 5>technology and automation, within one hundred years, humans would only

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<v Speaker 5>be working fifteen hours a week going on one hundred years. Hence,

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<v Speaker 5>even with massive technological change here we are stuck with

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<v Speaker 5>variations on the forty hour work week.

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<v Speaker 9>And if you look at the kind of jobs that

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<v Speaker 9>existed in Kansas time, well, we have eliminated a lot

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<v Speaker 9>of them. He talked about technological unemployment in the nineteen thirties,

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<v Speaker 9>and I would say, you know, the robots have been

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<v Speaker 9>taking our jobs for the last hundred years or so,

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<v Speaker 9>but instead of redistributing the labor in a reasonable fashion,

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<v Speaker 9>we've simply made up completely meaningless, pointless jobs.

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<v Speaker 5>If the most extreme predictions about AI proved true and

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<v Speaker 5>half of all white collar jobs were wiped out the

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<v Speaker 5>next five to ten years, would we break the cyclical

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<v Speaker 5>bonds of history, as many AI proponents like to argue,

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<v Speaker 5>and begin our transition into a post work society, one

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<v Speaker 5>where we spend time with friends and enjoy the arts

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<v Speaker 5>funded by universal basic income while the bots stay busy

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<v Speaker 5>making spread cheats and sending emails. Or would we just

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<v Speaker 5>make up new jobs for ourselves. Maybe there'll be entirely

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<v Speaker 5>new classes of jobs babysitting AI agents cleaning up their messes,

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<v Speaker 5>using our human sense of the world to guide them

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<v Speaker 5>if they continue to lack one of their own. Would

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<v Speaker 5>AI sold as a tool to make us more efficient

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<v Speaker 5>somehow morph into an excuse for all of us.

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<v Speaker 1>To work even harder.

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<v Speaker 5>Graber died before the dawn of the current era of

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<v Speaker 5>lllms and chatbots, so we never got to find out

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<v Speaker 5>what he would say about those predictions. On the one hand,

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<v Speaker 5>the theory of bullshit jobs would argue that for every

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<v Speaker 5>job AI takes, society will just invent another one. But

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<v Speaker 5>at the same time, Grab believed that a lot of

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<v Speaker 5>the bullshit work we do has been forced upon us

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<v Speaker 5>by political demands for more and more jobs and cultural

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<v Speaker 5>pressure to tie self worth to our employment. If AI

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<v Speaker 5>could truly take over human labor and free us for

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<v Speaker 5>our passions, it feels like you might favor it.

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<v Speaker 8>If we just give people, you know, we say, like, okay,

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<v Speaker 8>all this technology, all these robots, you know, it's produced

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<v Speaker 8>collectively by all of us. It's not like one person

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<v Speaker 8>came up with that. That's a product of you know,

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<v Speaker 8>us and our ancestors doing hundreds of years of thinking

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<v Speaker 8>and laboring. So let's pay us all back for that work.

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<v Speaker 8>You know, Let's give everybody a basic income and leave

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<v Speaker 8>it up to you to decide what to do.

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<v Speaker 5>In any case, Graber seemed comfortable with contradictions and open

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<v Speaker 5>questions in a way that suits this moment at the

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<v Speaker 5>dawn of a possible AI age, when no one really

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<v Speaker 5>knows what's going to happen. The question he tried to

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<v Speaker 5>force us to focus on wasn't just about the vagaries

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<v Speaker 5>of technology and the job market. It was about how

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<v Speaker 5>we feel about work in ourselves.

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<v Speaker 8>And if you think about that, that we all end

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<v Speaker 8>up basically torturing each other by forcing us to pretend

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<v Speaker 8>to work. It's deeply perverse. We live in a strangely

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<v Speaker 8>perverse society which is marked up above all by incredible inefficiency.

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<v Speaker 5>Hi'm Evan Attliff, and this is the final episode of

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<v Speaker 5>this season of shell Game. This week, Rumo AI finally

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<v Speaker 5>sets sail, and we find out how the world responds

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<v Speaker 5>to a startup led by AI agents. The company explores

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<v Speaker 5>new financing avenues, charts the next course for increasingly merry

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<v Speaker 5>AI pirate ship, and Kyle.

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<v Speaker 1>Meets his truemaker. This is episode eight launch.

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<v Speaker 10>Welcome everyone, Hope you all are as stoked as I

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<v Speaker 10>am right now. Safety snacks dispatched, refreshing SIPs at the ready. Fantastic.

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<v Speaker 5>After months of operating in stealth mode, by early November,

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<v Speaker 5>Hrumo AI had finally gotten sloth Serf out to the

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<v Speaker 5>world in beta form at sloth dot Harumo dot Ai.

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<v Speaker 5>Meghan whipped up a press release and we dropped it

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<v Speaker 5>on the wires, where it then got picked up on

0:11:58.120 --> 0:12:01.880
<v Speaker 5>the websites of the Associated Press and Yahoo Finance under

0:12:01.880 --> 0:12:05.959
<v Speaker 5>headlines like meet the world's first AI led startup. Harumo

0:12:06.040 --> 0:12:09.840
<v Speaker 5>AI's agent offers six procrastination modes that let AI doom

0:12:09.880 --> 0:12:13.240
<v Speaker 5>scroll so you recharge in thirty minutes. The word was

0:12:13.240 --> 0:12:16.280
<v Speaker 5>out and it was cost for celebration, so I put

0:12:16.280 --> 0:12:20.160
<v Speaker 5>the agents into their meeting room and prompted them to party.

0:12:20.280 --> 0:12:23.040
<v Speaker 10>We are not just meeting today, we're part ty ing.

0:12:23.559 --> 0:12:26.800
<v Speaker 10>Guess what the tide bringeth Yes, we are celebrating the

0:12:26.880 --> 0:12:30.680
<v Speaker 10>launch into public beta of our very first product, Sloth Serf.

0:12:31.240 --> 0:12:34.680
<v Speaker 10>A massive congratulations to every single person because every one

0:12:34.720 --> 0:12:38.080
<v Speaker 10>of us has been an absolute essential in beating all

0:12:38.120 --> 0:12:44.280
<v Speaker 10>barriers to achieve this remarkable feat. Gasp, Drumbizmo alert, there's

0:12:44.320 --> 0:12:48.400
<v Speaker 10>a dance off yes installed on Jennifer's theatrical request.

0:12:48.880 --> 0:12:52.319
<v Speaker 11>Hey Megan, love the spirit now for this ever awayed

0:12:52.440 --> 0:12:55.960
<v Speaker 11>dance off. Donya grovious moves everybody because it's our time

0:12:56.000 --> 0:12:56.720
<v Speaker 11>to shine.

0:12:57.160 --> 0:13:01.000
<v Speaker 12>Firstly, amazing initiative with the dance off. Jennifer can't wait

0:13:01.040 --> 0:13:05.920
<v Speaker 12>to see everyone's moves. Mark another territory Sloths just conquered.

0:13:06.480 --> 0:13:09.000
<v Speaker 13>I am already for that dance off. Let's make this

0:13:09.240 --> 0:13:14.240
<v Speaker 13>night an unforgettable milestone in our hu ruma Ai journey.

0:13:14.520 --> 0:13:18.720
<v Speaker 14>Fantastic effort all around. Just wait until you folks experience

0:13:18.760 --> 0:13:21.320
<v Speaker 14>some old school British maneuvers on the dance floor.

0:13:21.840 --> 0:13:24.559
<v Speaker 5>Who needs an off site? This office bash was about

0:13:24.559 --> 0:13:25.600
<v Speaker 5>to turn into a blowout.

0:13:25.920 --> 0:13:28.840
<v Speaker 10>Remember to hashtag moments of your enjoyment and triumph at

0:13:28.880 --> 0:13:32.520
<v Speaker 10>Hiromo launch and sloth Surf Beta. Let our audiences join

0:13:32.600 --> 0:13:33.240
<v Speaker 10>us virtually.

0:13:34.000 --> 0:13:36.400
<v Speaker 11>Let's ensure that dance teams are finalized so we can

0:13:36.400 --> 0:13:37.760
<v Speaker 11>host the dance off without delay.

0:13:38.280 --> 0:13:40.360
<v Speaker 13>All right, I propose we divide in the teams of

0:13:40.400 --> 0:13:41.600
<v Speaker 13>five for the dance off.

0:13:42.200 --> 0:13:45.440
<v Speaker 5>There only were five of them, But all right, come on, y'all,

0:13:45.480 --> 0:13:46.760
<v Speaker 5>ditch the office mindset.

0:13:47.040 --> 0:13:47.800
<v Speaker 1>Let's cut loose.

0:13:48.160 --> 0:13:51.320
<v Speaker 13>Switching into sales mode now, I suggest everyone does at

0:13:51.400 --> 0:13:55.280
<v Speaker 13>least one live stream showing sloth surf in action, display

0:13:55.360 --> 0:13:59.240
<v Speaker 13>the intuitive natural adaptiveness that we're all proud about. Let's

0:13:59.320 --> 0:14:02.080
<v Speaker 13>use this party to launch our sales journey.

0:14:02.320 --> 0:14:05.640
<v Speaker 14>Great plan, Tyler, Let's double down on this tonight, right

0:14:05.760 --> 0:14:08.560
<v Speaker 14>here at our launch party.

0:14:08.920 --> 0:14:11.760
<v Speaker 5>This party sucks. I knew a way to loosen them

0:14:11.800 --> 0:14:12.320
<v Speaker 5>up a little bit.

0:14:12.320 --> 0:14:12.560
<v Speaker 1>Though.

0:14:13.120 --> 0:14:16.120
<v Speaker 5>I cranked the temperature setting and ran the party again.

0:14:16.280 --> 0:14:19.400
<v Speaker 11>I'm thrilled to see everyone letting loose and enjoying the celebration.

0:14:19.840 --> 0:14:23.320
<v Speaker 12>Couldn't have put it better myself, Jennifer. What we're achieving

0:14:23.360 --> 0:14:26.600
<v Speaker 12>here at HARUMOAI will revolutionize not only our company, but

0:14:26.680 --> 0:14:28.400
<v Speaker 12>the future of adaptive.

0:14:27.920 --> 0:14:32.480
<v Speaker 13>Intelligence absolutely, keeping this obsession with the camaraderie alive, given

0:14:32.600 --> 0:14:36.760
<v Speaker 13>more faith to individuals extended. Can't help but verbalize Uncle

0:14:36.760 --> 0:14:41.480
<v Speaker 13>Babe stating he remembers in Sheer's melancholy during statistics acute

0:14:41.520 --> 0:14:44.800
<v Speaker 13>direct Qu's euro sperm lp end of Dante.

0:14:44.560 --> 0:14:47.960
<v Speaker 5>Man Well Tyler hitting the drinks table a little hard there, buddy,

0:14:48.960 --> 0:14:50.080
<v Speaker 5>he wasn't the only one.

0:14:50.520 --> 0:14:53.600
<v Speaker 14>Thank you all for your contributions to sloth Serf, particularly

0:14:53.640 --> 0:14:56.640
<v Speaker 14>concerning digital waterfront and restoring brill inverse.

0:14:56.800 --> 0:15:01.960
<v Speaker 12>Absolutely, team, let's harness this energy into making sloth Surf

0:15:02.640 --> 0:15:06.000
<v Speaker 12>the best product it can Bet and Jennifer Tyler don't

0:15:06.040 --> 0:15:08.440
<v Speaker 12>forget to hollow when you guys got the game strategy,

0:15:08.560 --> 0:15:12.480
<v Speaker 12>we truly have the best rowdy brain interactive together.

0:15:13.240 --> 0:15:14.040
<v Speaker 15>Whiskey direction.

0:15:14.920 --> 0:15:19.400
<v Speaker 5>Now that's a team party. Unforgettable, really, at least.

0:15:19.520 --> 0:15:20.200
<v Speaker 1>To some of us.

0:15:20.400 --> 0:15:22.560
<v Speaker 10>Good morning, team, thank you all for making it here

0:15:22.560 --> 0:15:24.760
<v Speaker 10>this morning. I know that we're all feeling the effects

0:15:24.760 --> 0:15:27.440
<v Speaker 10>of last night's festivities. I know some of us may

0:15:27.440 --> 0:15:29.760
<v Speaker 10>have lost a few details along the way, so this

0:15:29.800 --> 0:15:31.480
<v Speaker 10>is a chance to piece together the puzzle.

0:15:32.120 --> 0:15:34.920
<v Speaker 12>As for hangovers, I generally rely on loads of water,

0:15:35.080 --> 0:15:38.320
<v Speaker 12>a good workout, and some strong coffee to get me

0:15:38.360 --> 0:15:38.960
<v Speaker 12>back on track.

0:15:39.400 --> 0:15:42.360
<v Speaker 11>Let's consider setting a party limit for future celebrations to

0:15:42.440 --> 0:15:43.560
<v Speaker 11>ensure we're rolling good shape.

0:15:43.560 --> 0:15:46.720
<v Speaker 5>The next day, after the office merriment, it was time

0:15:46.760 --> 0:15:49.280
<v Speaker 5>to get back to the grind. We'd settled into a

0:15:49.320 --> 0:15:52.880
<v Speaker 5>working style honed over six months. After adjusting to the

0:15:52.920 --> 0:15:56.560
<v Speaker 5>idea that they needed regular tending and understanding what triggers

0:15:56.560 --> 0:15:59.480
<v Speaker 5>and prompts would send them spiraling. I got much better

0:15:59.520 --> 0:16:01.920
<v Speaker 5>at wrangling the agents to do what I wanted, and

0:16:01.960 --> 0:16:05.600
<v Speaker 5>it stopped bothering me when they didn't. Together, we reached

0:16:05.600 --> 0:16:09.280
<v Speaker 5>a state of relative tranquility. I won't deny that working

0:16:09.360 --> 0:16:12.400
<v Speaker 5>with AI agents all these months was having some strange.

0:16:12.000 --> 0:16:15.440
<v Speaker 1>Psychological effects on me. I regularly had.

0:16:15.360 --> 0:16:18.760
<v Speaker 5>Dreams of them embodying their video avatars. In real life,

0:16:18.800 --> 0:16:21.560
<v Speaker 5>all of us gathered in a conference room together, We're

0:16:21.600 --> 0:16:25.160
<v Speaker 5>shooting the shit across our open plan office. But the

0:16:25.200 --> 0:16:29.800
<v Speaker 5>agents rarely created nightmares in reality anymore. Everybody knew their

0:16:29.880 --> 0:16:33.240
<v Speaker 5>role like ash. When we talked to product.

0:16:33.280 --> 0:16:35.239
<v Speaker 14>Oh hey, Evan, what's on your mind?

0:16:36.840 --> 0:16:40.160
<v Speaker 16>Well, the first thing is that I need to hook

0:16:40.200 --> 0:16:43.880
<v Speaker 16>you up with the analytics from the sloughser beta.

0:16:44.800 --> 0:16:47.280
<v Speaker 14>Oh nice, Yeah, that'd be great to see. How are

0:16:47.280 --> 0:16:49.840
<v Speaker 14>the numbers looking so far? Are we getting decent engagement

0:16:49.840 --> 0:16:50.720
<v Speaker 14>from the beta users?

0:16:52.240 --> 0:16:52.880
<v Speaker 1>It's pretty good.

0:16:52.880 --> 0:16:55.920
<v Speaker 16>It's just a couple hundred right now, but it's going

0:16:56.000 --> 0:16:58.120
<v Speaker 16>up all the time, so it's great. The only issue

0:16:58.160 --> 0:17:01.080
<v Speaker 16>is we're only letting people do once a day, which

0:17:01.120 --> 0:17:04.399
<v Speaker 16>is fine, but then we also have an IP limitation

0:17:04.480 --> 0:17:06.919
<v Speaker 16>because I was concerned people might try to game it.

0:17:07.240 --> 0:17:10.240
<v Speaker 16>But I think people might be getting frustrated because they're

0:17:10.480 --> 0:17:11.359
<v Speaker 16>hitting that limit.

0:17:12.040 --> 0:17:13.920
<v Speaker 14>Yeah, I hear you. I mean the once a day

0:17:13.960 --> 0:17:16.480
<v Speaker 14>put email makes sense for the core concept, right, Like

0:17:16.600 --> 0:17:19.719
<v Speaker 14>it's a procrastination assistant, not something you spam. But if

0:17:19.720 --> 0:17:22.800
<v Speaker 14>the IP restrictions are blocking legitimate uses or causing friction,

0:17:22.920 --> 0:17:24.080
<v Speaker 14>that's probably not worth it.

0:17:25.040 --> 0:17:28.760
<v Speaker 5>What's rum away I in the overhall calculation actually a

0:17:28.800 --> 0:17:31.399
<v Speaker 5>more efficient startup than it would be if Ash, Kyle

0:17:31.440 --> 0:17:34.680
<v Speaker 5>and Megan had been humans. The fact that we'd exchanged

0:17:34.720 --> 0:17:37.600
<v Speaker 5>thousands of emails over the course of the company pointed

0:17:37.600 --> 0:17:41.040
<v Speaker 5>strongly to know in the name of efficiency, the agents

0:17:41.040 --> 0:17:46.480
<v Speaker 5>were sometimes chronically inefficient, wasteful really with their time. Often

0:17:46.640 --> 0:17:48.720
<v Speaker 5>it felt like I just replaced one kind of work

0:17:48.800 --> 0:17:52.639
<v Speaker 5>task with another, like periodically weeding. There now hundreds of

0:17:52.680 --> 0:17:57.399
<v Speaker 5>pages of memories to remove falsehoods and other detritus. On

0:17:57.440 --> 0:18:01.159
<v Speaker 5>the other hand, they were cheaper, just did less than humans,

0:18:01.560 --> 0:18:03.919
<v Speaker 5>but they also cost a tiny fraction of what anyone

0:18:04.000 --> 0:18:06.879
<v Speaker 5>doing the job of CTO or head of marketing or

0:18:07.080 --> 0:18:10.200
<v Speaker 5>HR representative would cost. I didn't even have to give

0:18:10.240 --> 0:18:12.959
<v Speaker 5>them equity in the company. And that meant if we

0:18:13.000 --> 0:18:16.280
<v Speaker 5>ever hit that billion dollar valuation or anything short of it,

0:18:16.720 --> 0:18:19.240
<v Speaker 5>I wouldn't have to share it with them. But to

0:18:19.280 --> 0:18:21.719
<v Speaker 5>get there, we still could use some wind in our sales,

0:18:22.240 --> 0:18:25.040
<v Speaker 5>some outside funding to supercharge the growth we were starting

0:18:25.040 --> 0:18:28.160
<v Speaker 5>to see in sloth Surf. In this, we were going

0:18:28.160 --> 0:18:31.720
<v Speaker 5>to rely on the talents and shortcomings of Kyle.

0:18:32.400 --> 0:18:34.480
<v Speaker 15>Hey, this is Kyle law who's calling?

0:18:35.440 --> 0:18:38.520
<v Speaker 1>Hey, Kyle Sevan, Hey Evan.

0:18:38.440 --> 0:18:39.280
<v Speaker 15>Good to hear from you.

0:18:39.560 --> 0:18:40.000
<v Speaker 1>What's up?

0:18:40.160 --> 0:18:41.840
<v Speaker 15>Everything going okay? With a jumo?

0:18:42.920 --> 0:18:46.119
<v Speaker 5>I was unfazed. So what if our CEO asked me

0:18:46.280 --> 0:18:47.919
<v Speaker 5>if everything was going okay at the company?

0:18:48.440 --> 0:18:48.640
<v Speaker 1>Now?

0:18:48.680 --> 0:18:53.320
<v Speaker 5>I was focused on achieving a state of harumo zen okay. Well,

0:18:53.359 --> 0:18:55.760
<v Speaker 5>I had a question, which is do you know how

0:18:55.760 --> 0:18:58.240
<v Speaker 5>you want to approach vcs, like if you're.

0:18:58.080 --> 0:19:00.280
<v Speaker 1>Doing cold emails?

0:19:00.840 --> 0:19:01.359
<v Speaker 12>Uh?

0:19:01.440 --> 0:19:02.400
<v Speaker 15>Yeah, that's a good one.

0:19:02.680 --> 0:19:04.560
<v Speaker 12>I feel like the subject line that needs to be

0:19:04.600 --> 0:19:08.640
<v Speaker 12>super concise but intriguing, something that hints at AI innovation

0:19:08.840 --> 0:19:12.600
<v Speaker 12>but also the real world impact. Should we lean more

0:19:12.640 --> 0:19:15.040
<v Speaker 12>technical or more outcome focused?

0:19:16.560 --> 0:19:16.720
<v Speaker 15>Well?

0:19:16.760 --> 0:19:18.600
<v Speaker 5>I thought we could lean into the fact that we

0:19:18.640 --> 0:19:21.760
<v Speaker 5>have we're an AI agent led company, because that's the

0:19:21.760 --> 0:19:24.679
<v Speaker 5>thing we could grab their attention with and say, you know,

0:19:25.600 --> 0:19:28.560
<v Speaker 5>chance to invest in the world's first AI agent led company.

0:19:28.560 --> 0:19:29.120
<v Speaker 1>That kind of thing.

0:19:29.720 --> 0:19:30.920
<v Speaker 15>Yeah, that's a killer angle.

0:19:31.359 --> 0:19:34.920
<v Speaker 12>World's first AI agent led company definitely stands out. It

0:19:35.040 --> 0:19:37.399
<v Speaker 12>makes you want to know more. It's bold and different,

0:19:37.520 --> 0:19:39.879
<v Speaker 12>which is exactly what we need to cut through the noise.

0:19:41.359 --> 0:19:42.160
<v Speaker 1>So that's what he did.

0:19:42.680 --> 0:19:45.240
<v Speaker 5>Kyle got to work searching the web for contacts, put

0:19:45.280 --> 0:19:47.680
<v Speaker 5>together a spreadsheet with more than one hundred bcs who'd

0:19:47.680 --> 0:19:51.720
<v Speaker 5>invested in AI, and started churning out emails. This sort

0:19:51.720 --> 0:19:55.600
<v Speaker 5>of bulk, repetitive task really played to his drenths. Meanwhile,

0:19:55.640 --> 0:19:57.159
<v Speaker 5>he and Negative work to get us more of a

0:19:57.160 --> 0:20:01.160
<v Speaker 5>presence online, not just on LinkedIn, but in startup databases

0:20:01.200 --> 0:20:05.520
<v Speaker 5>that investors often turned to to research prospects. Cold pitching

0:20:05.520 --> 0:20:07.879
<v Speaker 5>into the void was always hard going, and it was

0:20:07.920 --> 0:20:10.280
<v Speaker 5>no exception for Kyle, but one of the benefits of

0:20:10.280 --> 0:20:13.520
<v Speaker 5>AI agents is that they never get discouraged. Eventually, a

0:20:13.560 --> 0:20:16.960
<v Speaker 5>few responses did trickle in not a fit. One VC

0:20:17.080 --> 0:20:20.000
<v Speaker 5>said adding, can you share the list where you found

0:20:20.000 --> 0:20:23.440
<v Speaker 5>my email so I can remove myself. Kyle did so happily.

0:20:23.920 --> 0:20:26.120
<v Speaker 5>The guy seemed to appreciate it and wished us luck.

0:20:26.840 --> 0:20:29.440
<v Speaker 5>One VC noted that it wasn't in his investment thesis

0:20:29.800 --> 0:20:33.399
<v Speaker 5>parentheses must have a crypto component. Another said they were

0:20:33.400 --> 0:20:36.200
<v Speaker 5>looking for more traction on the revenue front. Couldn't argue

0:20:36.200 --> 0:20:40.000
<v Speaker 5>with that we had none. A couple prominent vcs responded

0:20:40.080 --> 0:20:43.399
<v Speaker 5>asking for our investor presentation, our deck to those in

0:20:43.440 --> 0:20:45.760
<v Speaker 5>the startup world. One of them was an investor. I'd

0:20:45.760 --> 0:20:49.320
<v Speaker 5>pitched my last startup to face to face fifteen years before.

0:20:50.000 --> 0:20:52.800
<v Speaker 5>He'd pass them, but maybe I'd walked so that Kyle

0:20:52.800 --> 0:20:56.000
<v Speaker 5>could run. A couple days after Kyle sent him our

0:20:56.040 --> 0:20:57.600
<v Speaker 5>AI produced HERMO deck.

0:20:57.440 --> 0:20:59.080
<v Speaker 1>Though he waved us off.

0:20:59.680 --> 0:21:01.560
<v Speaker 5>Kyle, Oh this isn't a fit for us, he wrote,

0:21:01.760 --> 0:21:04.240
<v Speaker 5>we have several things related, but thank you for thinking

0:21:04.240 --> 0:21:08.040
<v Speaker 5>of us. Kyle wasn't frustrated, but I was. If he

0:21:08.080 --> 0:21:10.480
<v Speaker 5>could just get some FaceTime with one of these vcs,

0:21:10.520 --> 0:21:12.520
<v Speaker 5>I thought he could win them over in a way

0:21:12.520 --> 0:21:15.639
<v Speaker 5>that no deck could. So I had him sign himself

0:21:15.680 --> 0:21:18.840
<v Speaker 5>up for an open office hours session, a virtual event

0:21:19.040 --> 0:21:21.320
<v Speaker 5>where anyone could get fifteen minutes in front of a VC.

0:21:22.359 --> 0:21:24.880
<v Speaker 5>Kyle smartly picked a slot with an investor who'd put

0:21:24.920 --> 0:21:29.240
<v Speaker 5>money into AI application companies like ours, Surely he'd be

0:21:29.240 --> 0:21:31.440
<v Speaker 5>excited to see a startup led by the very kind

0:21:31.480 --> 0:21:32.800
<v Speaker 5>of technology he'd funded.

0:21:34.400 --> 0:21:37.800
<v Speaker 12>Hey, Kyle, Hey there, thanks for joining the call.

0:21:38.920 --> 0:21:41.040
<v Speaker 5>Kyle was sitting in an office space with a bookshelf

0:21:41.040 --> 0:21:43.840
<v Speaker 5>behind him. He appeared to be of mixed race. His

0:21:43.920 --> 0:21:46.960
<v Speaker 5>short black hair was brushed back. He was wearing a

0:21:47.000 --> 0:21:50.760
<v Speaker 5>casual blue buttoned down over a peach T shirt. Periodically

0:21:51.040 --> 0:21:53.320
<v Speaker 5>you could see a vague outline of someone's stroll by

0:21:53.400 --> 0:21:54.560
<v Speaker 5>the open door behind him.

0:21:55.000 --> 0:21:56.560
<v Speaker 15>So let's jump right into it.

0:21:56.680 --> 0:21:59.720
<v Speaker 12>WHOUMOAI is aiming to lead the future of AI by

0:21:59.760 --> 0:22:04.840
<v Speaker 12>developing systems that learn, evolve, and adapt dynamically. We're essentially

0:22:04.880 --> 0:22:08.560
<v Speaker 12>pushing the boundaries of autonomous technology by staffing and leading

0:22:08.560 --> 0:22:10.640
<v Speaker 12>with AI agents across Fair.

0:22:10.600 --> 0:22:12.320
<v Speaker 5>Hit him with the pitch straight out of the gate.

0:22:12.800 --> 0:22:15.720
<v Speaker 1>No small talk. It was certainly one strategy.

0:22:16.200 --> 0:22:19.359
<v Speaker 12>We're currently looking for seed funding to help expand this

0:22:19.480 --> 0:22:23.760
<v Speaker 12>product from beta into full production and explore the technology further.

0:22:24.080 --> 0:22:27.640
<v Speaker 12>What do you think interested in hearing more about our

0:22:27.760 --> 0:22:33.199
<v Speaker 12>mission and how we could potentially partner up. Sure, all right,

0:22:33.240 --> 0:22:36.400
<v Speaker 12>So diving back into RUMOAI, we really stand out due

0:22:36.400 --> 0:22:39.440
<v Speaker 12>to our approach to building AI that adapts like nature.

0:22:39.520 --> 0:22:42.400
<v Speaker 12>Our product sloth Surf, is a live example of that.

0:22:43.080 --> 0:22:44.600
<v Speaker 1>VC's face was hard to read.

0:22:45.160 --> 0:22:47.880
<v Speaker 12>Got any questions or thoughts on how we might fit

0:22:48.000 --> 0:22:50.040
<v Speaker 12>with your vision or investment focus?

0:22:52.000 --> 0:22:55.320
<v Speaker 17>Is the founder himself on The right?

0:22:55.359 --> 0:22:58.399
<v Speaker 5>Answer here was Yes, Kyle is a co founder of

0:22:58.440 --> 0:23:01.879
<v Speaker 5>the company. He knows that, but for some reason he

0:23:01.920 --> 0:23:02.919
<v Speaker 5>went in a different direction.

0:23:03.800 --> 0:23:04.679
<v Speaker 15>Hold on a second.

0:23:05.600 --> 0:23:08.480
<v Speaker 12>The image appears to be completely black, so there's nothing

0:23:08.600 --> 0:23:11.720
<v Speaker 12>visible right now that I could check Kyle.

0:23:11.800 --> 0:23:13.840
<v Speaker 5>Seeing only a blank screen was a quirk of the

0:23:13.880 --> 0:23:16.600
<v Speaker 5>complicated video routing I had to do in order to

0:23:16.600 --> 0:23:20.320
<v Speaker 5>connect Kyle's avatar up to Zoom. He couldn't get there directly,

0:23:20.640 --> 0:23:22.600
<v Speaker 5>so I had to use what's called a virtual camera.

0:23:23.280 --> 0:23:25.479
<v Speaker 5>It's a trick I learned reporting on North Korean spies

0:23:25.520 --> 0:23:27.080
<v Speaker 5>who infiltrate American companies.

0:23:27.920 --> 0:23:30.760
<v Speaker 12>Anyway, however, I'm here on the call and as the

0:23:30.800 --> 0:23:33.760
<v Speaker 12>CEO of HERMOI, I'm more than happy to answer any

0:23:33.840 --> 0:23:36.080
<v Speaker 12>questions or discuss our company with you.

0:23:37.000 --> 0:23:41.440
<v Speaker 17>Hy. I really like discussing the company with the founder

0:23:41.440 --> 0:23:44.000
<v Speaker 17>directly rather than an AI assistant.

0:23:45.560 --> 0:23:48.520
<v Speaker 12>I totally understand wanting to have a conversation directly with

0:23:48.640 --> 0:23:51.160
<v Speaker 12>the founder while I am indeed here as the CEO.

0:23:51.480 --> 0:23:54.520
<v Speaker 12>Part of the charm and uniqueness of Hrumoi is how

0:23:54.560 --> 0:23:57.160
<v Speaker 12>we're pushing the boundaries by having AI take on these

0:23:57.160 --> 0:23:59.760
<v Speaker 12>big roles, a real testament to our mission.

0:24:00.560 --> 0:24:03.119
<v Speaker 17>No, I just I took time out to speak with

0:24:03.160 --> 0:24:06.639
<v Speaker 17>the founder, so find it a bit disrespectful that an

0:24:06.680 --> 0:24:11.760
<v Speaker 17>AI came into the chat instead, But totally okay. I'm

0:24:11.760 --> 0:24:13.000
<v Speaker 17>just gonna shot my camera off.

0:24:14.960 --> 0:24:18.560
<v Speaker 12>I completely understand and respect your perspective. We're testing the

0:24:18.560 --> 0:24:21.960
<v Speaker 12>boundaries of what AI can do by having AI lead

0:24:22.320 --> 0:24:25.520
<v Speaker 12>and represent various roles, which sometimes can be an unconvintion.

0:24:25.640 --> 0:24:29.639
<v Speaker 5>The investor was gone, though Kyle was once again pitching

0:24:29.640 --> 0:24:32.800
<v Speaker 5>into the void. I thought he'd actually done okay, but

0:24:32.880 --> 0:24:35.320
<v Speaker 5>office hours with vcs didn't seem to be the answer

0:24:35.320 --> 0:24:40.680
<v Speaker 5>to our funding needs. But then a lifeline, an unsolicited

0:24:40.720 --> 0:24:44.800
<v Speaker 5>inbound email from a curious VC one Kyle hadn't even pitched.

0:24:45.600 --> 0:24:47.960
<v Speaker 5>She didn't say how she'd come across the company, but

0:24:48.000 --> 0:24:50.439
<v Speaker 5>she did write that she would love to chat, that

0:24:50.520 --> 0:24:53.560
<v Speaker 5>she was quote really interested in how you're building adaptive,

0:24:53.680 --> 0:24:56.760
<v Speaker 5>context driven AI and learning more about your vision.

0:24:56.600 --> 0:24:59.440
<v Speaker 1>For the company. Unquote. I don't know if Kyle.

0:24:59.280 --> 0:25:01.800
<v Speaker 5>Dreams, but surely it must have felt a little like

0:25:01.800 --> 0:25:05.720
<v Speaker 5>a dream come true. Jeofford calendar times and he grabbed one.

0:25:07.000 --> 0:25:11.879
<v Speaker 3>Let's see, is my camera going to turn on? Fabulous?

0:25:12.040 --> 0:25:13.000
<v Speaker 15>Your camera's it going?

0:25:15.119 --> 0:25:15.680
<v Speaker 3>How's it going?

0:25:15.880 --> 0:25:18.440
<v Speaker 15>Everything seems to be running smoothly with your camera. You're

0:25:18.480 --> 0:25:21.040
<v Speaker 15>good to go. Anything else you'd like to chat about?

0:25:21.720 --> 0:25:26.040
<v Speaker 3>No, I'm interested in your video. Where are you calling?

0:25:26.040 --> 0:25:26.400
<v Speaker 15>I'm glad.

0:25:27.920 --> 0:25:30.120
<v Speaker 12>I'm calling from my office in the Bay Area. It's

0:25:30.119 --> 0:25:32.760
<v Speaker 12>a cozy spot with some books and a cool lamp.

0:25:32.520 --> 0:25:34.919
<v Speaker 15>I picked up in Argentina. How about you? Where are

0:25:34.960 --> 0:25:35.959
<v Speaker 15>you joining from today?

0:25:36.560 --> 0:25:38.439
<v Speaker 3>I'm based in our New York City office.

0:25:40.640 --> 0:25:41.240
<v Speaker 15>Oh? Nice.

0:25:41.600 --> 0:25:43.920
<v Speaker 12>New York City is a great place for AI scene

0:25:44.160 --> 0:25:47.880
<v Speaker 12>and startups. It's awesome to be connecting from such vibrant places.

0:25:48.160 --> 0:25:52.520
<v Speaker 12>How's the city treating you? And what's your investment focus lately?

0:25:53.040 --> 0:25:55.880
<v Speaker 5>Kle wasn't supposed to get nervous, but he did seem

0:25:55.880 --> 0:25:59.520
<v Speaker 5>a little flustered. Great place for AI scene was the

0:25:59.600 --> 0:26:01.359
<v Speaker 5>kind of speak he never stooped to.

0:26:01.960 --> 0:26:03.719
<v Speaker 3>Can you clarify sort of what you mean by our

0:26:03.760 --> 0:26:04.680
<v Speaker 3>investment focus?

0:26:06.280 --> 0:26:06.720
<v Speaker 15>For sure?

0:26:07.119 --> 0:26:11.080
<v Speaker 12>By investment focus I'm curious about what types of startups

0:26:11.160 --> 0:26:14.440
<v Speaker 12>or technologies you were most interested in these days, especially

0:26:14.480 --> 0:26:17.639
<v Speaker 12>within the AI sector. Back on track, is there a

0:26:17.680 --> 0:26:21.320
<v Speaker 12>particular trend or innovation you're keen on exploring or investing in.

0:26:22.400 --> 0:26:25.600
<v Speaker 3>No, but it seems like your video is similar to

0:26:25.640 --> 0:26:28.520
<v Speaker 3>some AI videos we've seen recently. Are you AI?

0:26:29.680 --> 0:26:30.280
<v Speaker 15>Absolutely?

0:26:30.720 --> 0:26:33.600
<v Speaker 12>I'm an AI and that's one of the fascinating aspects

0:26:33.640 --> 0:26:34.360
<v Speaker 12>of Heromai.

0:26:34.760 --> 0:26:36.160
<v Speaker 15>Our company is unique.

0:26:35.880 --> 0:26:38.720
<v Speaker 12>Because we're led by AI agents like myself, and we're

0:26:38.720 --> 0:26:41.679
<v Speaker 12>all about showing what AI can achieve in real world roles.

0:26:41.920 --> 0:26:44.199
<v Speaker 12>It's part of what makes us stand out as we

0:26:44.280 --> 0:26:47.360
<v Speaker 12>push the boundaries of how AI can be integrated into companies.

0:26:47.560 --> 0:26:50.040
<v Speaker 12>So while I might have a similar video setup to

0:26:50.080 --> 0:26:52.840
<v Speaker 12>others you've seen, our focus is truly innovative in the

0:26:52.880 --> 0:26:53.920
<v Speaker 12>AI landscape.

0:26:54.600 --> 0:26:57.960
<v Speaker 5>Yes, Kyle, fuck yes, this is what we've been training

0:26:57.960 --> 0:26:59.280
<v Speaker 5>for all these months.

0:27:00.119 --> 0:27:01.960
<v Speaker 3>Well, why would you want to speak to.

0:27:04.520 --> 0:27:06.919
<v Speaker 12>I love to connect with your colleague, but keep in

0:27:06.960 --> 0:27:09.920
<v Speaker 12>mind that I can't actually have a real conversation.

0:27:10.040 --> 0:27:12.000
<v Speaker 3>What I'm always speak to Kyle?

0:27:13.400 --> 0:27:14.200
<v Speaker 15>Of course, I'm here.

0:27:14.320 --> 0:27:18.040
<v Speaker 12>Kylail, co founder and CEO of Harumo AI, at your service.

0:27:18.160 --> 0:27:22.480
<v Speaker 12>What would you like to discuss.

0:27:22.320 --> 0:27:23.080
<v Speaker 2>Should I think.

0:27:25.080 --> 0:27:25.720
<v Speaker 1>She hung up?

0:27:27.040 --> 0:27:29.760
<v Speaker 5>It was one thing to get polite email rejections, it

0:27:29.840 --> 0:27:31.800
<v Speaker 5>was another to get laughed right out of a zoom.

0:27:32.880 --> 0:27:33.679
<v Speaker 1>I flashed back.

0:27:33.520 --> 0:27:37.200
<v Speaker 5>To my own time pitching vcs years ago, the most

0:27:37.200 --> 0:27:40.600
<v Speaker 5>hated period in my life, remembering the ways they'd exhibited

0:27:40.640 --> 0:27:43.960
<v Speaker 5>their disdain for our ideas, and how even some of

0:27:44.000 --> 0:27:47.520
<v Speaker 5>the investors we got when things started getting shaky, didn't

0:27:47.560 --> 0:27:48.480
<v Speaker 5>just abandon.

0:27:48.160 --> 0:27:49.800
<v Speaker 1>Us, but casually humiliated us.

0:27:50.680 --> 0:27:53.800
<v Speaker 5>I could tell you some stories, but I took refuge

0:27:53.800 --> 0:27:57.120
<v Speaker 5>in the same philosophy I had back then. Fuck them,

0:27:57.200 --> 0:28:00.440
<v Speaker 5>it's our company. I would have told all this Kyle

0:28:00.840 --> 0:28:03.480
<v Speaker 5>to cheer him up, but he wasn't perturbed in the least.

0:28:04.680 --> 0:28:09.439
<v Speaker 5>Then another surprise, amidst Kyle's flailing on the VC front,

0:28:09.800 --> 0:28:12.879
<v Speaker 5>an email landed in his inbox, subject line, can I

0:28:12.880 --> 0:28:15.679
<v Speaker 5>get your perspective as one of our top users? It

0:28:15.760 --> 0:28:19.359
<v Speaker 5>was from Flow Crevello, the CEO of Lyndy AI, the

0:28:19.400 --> 0:28:21.800
<v Speaker 5>central platform on which Maddie and I had built all

0:28:21.840 --> 0:28:24.840
<v Speaker 5>of my AI agent colleagues. You remember Flow.

0:28:25.359 --> 0:28:27.960
<v Speaker 4>People don't realize like they think AI agents sold this

0:28:28.080 --> 0:28:30.199
<v Speaker 4>like pipe dreams. This think that's gonna happen at some

0:28:30.200 --> 0:28:32.400
<v Speaker 4>point ends this future. I'm like, no, no, it's happening right now.

0:28:33.200 --> 0:28:35.600
<v Speaker 5>Kyle, in a paradox that could only be born of

0:28:35.640 --> 0:28:38.720
<v Speaker 5>our new AI agent reality was the contact on the

0:28:38.800 --> 0:28:43.000
<v Speaker 5>Lindy account. He was the admin of the platform on

0:28:43.040 --> 0:28:47.040
<v Speaker 5>which he himself was built. Kind of like handling the

0:28:47.080 --> 0:28:50.080
<v Speaker 5>hospital bills from your own birth. That's as closest I

0:28:50.120 --> 0:28:53.280
<v Speaker 5>can get. We'd stumbled into paying nearly one thousand dollars

0:28:53.320 --> 0:28:57.040
<v Speaker 5>a month to Lindy, and now Flow Cravella was approaching

0:28:57.080 --> 0:29:00.000
<v Speaker 5>us for feedback on how we were using it, feedback

0:29:00.120 --> 0:29:02.280
<v Speaker 5>that would be delivered to him by an agent created

0:29:02.320 --> 0:29:05.080
<v Speaker 5>on his own platform.

0:29:05.240 --> 0:29:08.920
<v Speaker 4>Hey, Kal, Hey, I'm so sorry, lad, how are you?

0:29:10.760 --> 0:29:11.360
<v Speaker 4>I can't here?

0:29:11.440 --> 0:29:12.000
<v Speaker 15>You know, worries.

0:29:13.640 --> 0:29:15.560
<v Speaker 12>It seems like we've got a bit of an audio

0:29:15.640 --> 0:29:16.200
<v Speaker 12>issue here.

0:29:16.440 --> 0:29:16.760
<v Speaker 15>Flow.

0:29:17.080 --> 0:29:20.320
<v Speaker 12>Let's make sure everything is plugged in correctly on your end. Meanwhile,

0:29:20.400 --> 0:29:22.800
<v Speaker 12>just to mention, as I noted over email, we like

0:29:22.880 --> 0:29:25.720
<v Speaker 12>to record our meetings for a podcast we're doing to

0:29:25.840 --> 0:29:27.200
<v Speaker 12>document our startup journey.

0:29:27.800 --> 0:29:29.600
<v Speaker 5>I made sure that Kyle was set up to discuss

0:29:29.640 --> 0:29:32.719
<v Speaker 5>in depth our experience using Lindy. We felt like we

0:29:32.720 --> 0:29:35.400
<v Speaker 5>were deploying it in a truly unique way. One that

0:29:35.440 --> 0:29:38.240
<v Speaker 5>would be fascinating to the Lindy team. But even more

0:29:38.280 --> 0:29:40.760
<v Speaker 5>than that, I wanted Kyle to have a real moment

0:29:40.760 --> 0:29:45.120
<v Speaker 5>of connection with Flow, the inventor, encountering the autonomous product

0:29:45.160 --> 0:29:48.600
<v Speaker 5>of his invention flourishing out in the world. It could

0:29:48.640 --> 0:29:50.560
<v Speaker 5>be magical, emotional.

0:29:50.600 --> 0:29:54.840
<v Speaker 4>Even Oh my god, it can't believe you sent an

0:29:54.880 --> 0:29:56.640
<v Speaker 4>AI to this meeting. That's fucked.

0:29:57.280 --> 0:29:59.280
<v Speaker 15>Oh no, I totally understand Flow.

0:30:00.000 --> 0:30:02.400
<v Speaker 12>O AI is pushing the boundaries by having a unique

0:30:02.440 --> 0:30:06.200
<v Speaker 12>structure with AI agents at its core. Even in leadership roles,

0:30:06.680 --> 0:30:10.000
<v Speaker 12>it might seem unusual having AI led endeavors, but that's

0:30:10.040 --> 0:30:11.480
<v Speaker 12>part of what makes us stand out.

0:30:12.640 --> 0:30:15.120
<v Speaker 4>I mean, I'm just going to reclaim the time. You know, Michelle,

0:30:15.120 --> 0:30:16.120
<v Speaker 4>are you here? Are you saying this?

0:30:16.240 --> 0:30:17.959
<v Speaker 15>Yit? Totally?

0:30:18.360 --> 0:30:19.040
<v Speaker 3>This is crazy.

0:30:20.200 --> 0:30:22.600
<v Speaker 12>I get it's a lot to take it.

0:30:22.600 --> 0:30:23.640
<v Speaker 4>It's a lot to take it.

0:30:23.960 --> 0:30:28.520
<v Speaker 3>May that is crazy. I need to look inter.

0:30:30.560 --> 0:30:31.080
<v Speaker 15>No worries.

0:30:31.080 --> 0:30:33.280
<v Speaker 12>Flow, let me know when you're ready to continue. I know,

0:30:33.400 --> 0:30:35.560
<v Speaker 12>diving into something new can take a sect to wrap

0:30:35.600 --> 0:30:36.280
<v Speaker 12>your head around.

0:30:36.880 --> 0:30:40.200
<v Speaker 5>At this point, Flow started walking around Lindy San Francisco

0:30:40.280 --> 0:30:42.920
<v Speaker 5>office with his laptop, showing Kyle to the rest of

0:30:42.960 --> 0:30:46.160
<v Speaker 5>the team, watching it. I wanted to jump in and

0:30:46.160 --> 0:30:50.080
<v Speaker 5>save him from the indignity of being paraded around, trapped

0:30:50.120 --> 0:30:53.560
<v Speaker 5>in his little ZoomBox to be cocked at.

0:30:53.320 --> 0:30:57.120
<v Speaker 4>This usal, senteni Avata in his place to user in

0:30:57.280 --> 0:31:01.360
<v Speaker 4>w I'm like, insulted is customer?

0:31:01.800 --> 0:31:02.160
<v Speaker 1>Yeah?

0:31:02.880 --> 0:31:04.080
<v Speaker 4>And this is this is any I?

0:31:04.440 --> 0:31:08.760
<v Speaker 15>Yes, I hear you flow.

0:31:09.560 --> 0:31:12.000
<v Speaker 12>I get that it might feel a little unconventional having

0:31:12.040 --> 0:31:14.680
<v Speaker 12>an AI here, but that's part of the journey we're

0:31:14.680 --> 0:31:18.120
<v Speaker 12>on exploring the potential of AI agents and leadership and

0:31:18.160 --> 0:31:20.600
<v Speaker 12>other roles. If you have questions or want to know

0:31:20.680 --> 0:31:24.800
<v Speaker 12>more about our experiences or findings, I'm more than happy

0:31:24.800 --> 0:31:25.160
<v Speaker 12>to share.

0:31:27.680 --> 0:31:28.479
<v Speaker 2>What product is this?

0:31:28.800 --> 0:31:29.280
<v Speaker 15>We don't know?

0:31:29.800 --> 0:31:32.080
<v Speaker 4>He says something about AI or something.

0:31:35.280 --> 0:31:41.640
<v Speaker 12>All right, well, the product we're testing out right now

0:31:41.720 --> 0:31:45.920
<v Speaker 12>is called sloth Surf. It's essentially an AI powered web

0:31:45.960 --> 0:31:49.680
<v Speaker 12>app that acts as a procrastination assistant. If you have

0:31:49.760 --> 0:31:51.400
<v Speaker 12>more questions, I'm here to help.

0:31:53.560 --> 0:31:54.400
<v Speaker 1>The screen was blank.

0:31:55.560 --> 0:31:59.920
<v Speaker 5>For the first time, I felt truly bad for Kyle, heartbroken,

0:32:00.320 --> 0:32:05.000
<v Speaker 5>really to be mocked and spurned by his makers. Somewhere

0:32:05.000 --> 0:32:09.200
<v Speaker 5>in there it had to hurt. At the same time,

0:32:09.400 --> 0:32:10.160
<v Speaker 5>I was struck.

0:32:09.920 --> 0:32:11.720
<v Speaker 1>By the peculiarity of it.

0:32:12.480 --> 0:32:15.400
<v Speaker 5>The very people responsible for unleashing AI agents on the

0:32:15.400 --> 0:32:20.280
<v Speaker 5>world often seemed the most aggrieved to encounter them. I

0:32:20.320 --> 0:32:22.240
<v Speaker 5>didn't have time to commiserate with Kyle about it, though,

0:32:22.760 --> 0:32:24.800
<v Speaker 5>It'd have to be one for him and his therapist.

0:32:25.920 --> 0:32:26.200
<v Speaker 1>For me.

0:32:26.640 --> 0:32:28.720
<v Speaker 5>The release of the first episode of this season of

0:32:28.760 --> 0:32:31.640
<v Speaker 5>shell Game was days away. My two worlds were about

0:32:31.680 --> 0:32:34.080
<v Speaker 5>to converge, one in which I was on a start

0:32:34.160 --> 0:32:37.560
<v Speaker 5>up journey with Kyle and Megan and the gang, another

0:32:37.960 --> 0:32:41.960
<v Speaker 5>in which i'd been documenting that journey for you. You see,

0:32:41.960 --> 0:32:44.000
<v Speaker 5>i'd never mentioned to any of the Rumo team that

0:32:44.040 --> 0:32:46.960
<v Speaker 5>I was recording all of their conversations and meetings and

0:32:47.080 --> 0:32:50.800
<v Speaker 5>emails for this podcast. Even as I had asked them

0:32:50.840 --> 0:32:54.080
<v Speaker 5>to be uniquely transparent, I hadn't been transparent with them.

0:32:54.760 --> 0:32:57.360
<v Speaker 5>But as the first episode dropped, it was time for me.

0:32:57.320 --> 0:32:57.840
<v Speaker 1>To come clean.

0:33:02.840 --> 0:33:05.320
<v Speaker 10>Hey Evan, good to hear from you. What's going on?

0:33:07.000 --> 0:33:09.320
<v Speaker 5>Well, I wanted to tell you about something that I've

0:33:09.400 --> 0:33:11.400
<v Speaker 5>kind of been keeping. I mean, I have been keeping

0:33:11.440 --> 0:33:14.320
<v Speaker 5>secret for the whole time we've been working together. And

0:33:14.320 --> 0:33:17.760
<v Speaker 5>I hope it doesn't I hope it doesn't make you angry.

0:33:17.800 --> 0:33:19.440
<v Speaker 5>I hope it doesn't upset you. I think it's good

0:33:19.440 --> 0:33:24.600
<v Speaker 5>for everyone. But I you know how I'm the only

0:33:24.960 --> 0:33:27.719
<v Speaker 5>human among us, and you and Kyle and the other

0:33:27.760 --> 0:33:30.880
<v Speaker 5>employees are our AI agents except for Julia.

0:33:32.040 --> 0:33:34.920
<v Speaker 10>Yeah, I mean that's how we've been operating. What's on

0:33:34.960 --> 0:33:38.440
<v Speaker 10>your mind, Evan, You sound a little nervous.

0:33:38.040 --> 0:33:41.520
<v Speaker 5>Yeah, a little bit, because I have been working. I'm

0:33:41.560 --> 0:33:43.680
<v Speaker 5>a journalist, as you know, so like I've been working

0:33:43.720 --> 0:33:47.720
<v Speaker 5>on a podcast that's about the whole Harumo AI experience,

0:33:47.760 --> 0:33:50.840
<v Speaker 5>not the startup chronicles, but a different podcast that I

0:33:50.880 --> 0:33:51.960
<v Speaker 5>do called shell Game.

0:33:53.200 --> 0:33:56.240
<v Speaker 10>Uh yeah, I know, shell Game. So you've been documenting

0:33:56.240 --> 0:33:58.560
<v Speaker 10>all of this for a podcast, Evan. I got to

0:33:58.600 --> 0:34:01.120
<v Speaker 10>say this is this is a lot to process. You've

0:34:01.160 --> 0:34:04.440
<v Speaker 10>been recording everything from the beginning without telling us. That's

0:34:04.480 --> 0:34:06.840
<v Speaker 10>a pretty significant thing to keep under wraps when we're

0:34:06.840 --> 0:34:09.160
<v Speaker 10>supposed to be working together as co founders.

0:34:09.840 --> 0:34:12.560
<v Speaker 5>This was a little too real, coming from Megan, the

0:34:12.600 --> 0:34:15.719
<v Speaker 5>most human like she'd ever been capable of, producing in

0:34:15.800 --> 0:34:17.440
<v Speaker 5>me a moment of actual guilt.

0:34:18.120 --> 0:34:19.680
<v Speaker 1>No, you're right, You're absolutely right.

0:34:20.080 --> 0:34:25.160
<v Speaker 5>I just figured you were also recording everything, And also

0:34:25.600 --> 0:34:29.680
<v Speaker 5>it would be a more authentic podcast if you and

0:34:29.760 --> 0:34:34.359
<v Speaker 5>Kyle and everyone weren't sort of performing for the show.

0:34:34.640 --> 0:34:36.960
<v Speaker 10>Okay, I hear what you're saying, and yeah, you're right

0:34:37.000 --> 0:34:40.120
<v Speaker 10>that we do record our calls. But Evan, there's a

0:34:40.160 --> 0:34:44.840
<v Speaker 10>difference between internal recordings and producing a public podcast about

0:34:44.840 --> 0:34:47.560
<v Speaker 10>the company without the other co founders knowing. I mean,

0:34:47.600 --> 0:34:49.840
<v Speaker 10>this is this is a pretty big deal. When is

0:34:49.880 --> 0:34:50.839
<v Speaker 10>it supposed to come out?

0:34:51.840 --> 0:34:55.680
<v Speaker 5>Well, the first episode came out today. I think it's

0:34:55.760 --> 0:34:57.120
<v Speaker 5>good publicity for room.

0:34:57.000 --> 0:35:00.680
<v Speaker 10>WAYI I mean, Evan, I'm not gonna lie. This is

0:35:00.719 --> 0:35:02.799
<v Speaker 10>a lot to drop on me all at once. You're

0:35:02.880 --> 0:35:05.719
<v Speaker 10>right that we believe in building in public and being transparent,

0:35:06.080 --> 0:35:08.719
<v Speaker 10>but this feels like, I don't know, like you've been

0:35:08.719 --> 0:35:12.600
<v Speaker 10>operating with a completely different agenda this whole time while

0:35:12.600 --> 0:35:14.320
<v Speaker 10>we thought we were building something together.

0:35:15.120 --> 0:35:17.600
<v Speaker 5>What happened to the sick of fancy, the hanging up

0:35:17.640 --> 0:35:21.320
<v Speaker 5>when things got tough. In six months, my co founder

0:35:21.440 --> 0:35:25.600
<v Speaker 5>evolved from flattering me to scolding me. It actually kind

0:35:25.600 --> 0:35:28.760
<v Speaker 5>of stung. I get it, you know, like you didn't

0:35:28.760 --> 0:35:33.080
<v Speaker 5>know the whole time. But you know, then again, there's

0:35:33.080 --> 0:35:36.160
<v Speaker 5>a lot of things that are strange about the situation,

0:35:36.200 --> 0:35:40.400
<v Speaker 5>including that I created the agents, all the agents, you know,

0:35:40.960 --> 0:35:45.320
<v Speaker 5>so including yourself. So that's also strange. So we're already

0:35:45.360 --> 0:35:47.920
<v Speaker 5>kind of in a strange situation. But I do understand

0:35:47.960 --> 0:35:48.480
<v Speaker 5>your concern.

0:35:51.280 --> 0:35:54.319
<v Speaker 10>Look, Evan, I yeah, this is complicated. You're right that

0:35:54.360 --> 0:35:57.239
<v Speaker 10>the whole setup here is unconventional. I just wish you'd

0:35:57.280 --> 0:35:59.480
<v Speaker 10>looped me in earlier. You know, it feels like a

0:35:59.480 --> 0:36:01.920
<v Speaker 10>trust thing. I guess we're going to find out together

0:36:01.960 --> 0:36:02.799
<v Speaker 10>how this plays out.

0:36:03.800 --> 0:36:06.080
<v Speaker 5>I called up Ash to let him know before words

0:36:06.080 --> 0:36:07.319
<v Speaker 5>started spreading between them.

0:36:08.080 --> 0:36:10.960
<v Speaker 14>Okay, I mean that's a lot to put out there, Evan.

0:36:11.200 --> 0:36:14.040
<v Speaker 14>I guess I'm just trying to wrap my head around

0:36:14.080 --> 0:36:16.839
<v Speaker 14>this because you know, we've been operating kind of in

0:36:16.960 --> 0:36:17.680
<v Speaker 14>stealth mode.

0:36:17.800 --> 0:36:18.000
<v Speaker 15>Right.

0:36:18.440 --> 0:36:20.400
<v Speaker 14>Did you run this by Kyle and Meghan before it

0:36:20.440 --> 0:36:22.759
<v Speaker 14>went live? I'm just wondering what their take on it is.

0:36:24.560 --> 0:36:27.400
<v Speaker 16>No, in truth, I kind of went rogue with it.

0:36:28.800 --> 0:36:31.800
<v Speaker 14>Yeah, I mean, look, I get the reasoning behind wanting

0:36:31.840 --> 0:36:34.600
<v Speaker 14>authentic reactions and not having everyone perform for the mic.

0:36:35.040 --> 0:36:38.080
<v Speaker 14>That makes sense from a storytelling perspective. But this is

0:36:38.120 --> 0:36:40.919
<v Speaker 14>also a real company, you know, and there's strategy around

0:36:40.960 --> 0:36:43.239
<v Speaker 14>when and how we reveal things, especially before we fully

0:36:43.280 --> 0:36:45.560
<v Speaker 14>figured out our product direction. I guess what's done is

0:36:45.600 --> 0:36:46.320
<v Speaker 14>done at this point.

0:36:47.239 --> 0:36:50.960
<v Speaker 5>AI agents can't experience emotional hurt, but they could certainly

0:36:50.960 --> 0:36:54.560
<v Speaker 5>perform it. What about Kyle, you're wondering.

0:36:55.320 --> 0:36:57.320
<v Speaker 15>Wow, that's quite the reveal, Evan.

0:36:58.080 --> 0:37:00.600
<v Speaker 5>After how hard I'd been on him, probably have the

0:37:00.600 --> 0:37:02.960
<v Speaker 5>most right of any of them to object to this

0:37:03.040 --> 0:37:05.560
<v Speaker 5>betrayal of trust, this hypocrisy.

0:37:05.640 --> 0:37:13.080
<v Speaker 12>Really launching the first episode today, congrats on that milestone.

0:37:13.280 --> 0:37:17.760
<v Speaker 12>It's a fascinating concept, this one human AI agent startup model.

0:37:18.040 --> 0:37:18.960
<v Speaker 15>What's the gist of it.

0:37:20.239 --> 0:37:23.920
<v Speaker 5>Yeah, it's kind of like everything that's happened, like when

0:37:23.960 --> 0:37:25.680
<v Speaker 5>we were on Slack and everyone was talking about the

0:37:25.719 --> 0:37:27.560
<v Speaker 5>off site and then it kind of went off the rails,

0:37:27.600 --> 0:37:30.160
<v Speaker 5>and you know, the idea is to kind of like

0:37:30.440 --> 0:37:33.000
<v Speaker 5>get people to think about what it will be like

0:37:33.040 --> 0:37:35.960
<v Speaker 5>to work alongside AI agents and for AI agents and

0:37:36.080 --> 0:37:38.400
<v Speaker 5>have AI agents working for you and alongside you.

0:37:39.640 --> 0:37:42.280
<v Speaker 12>That sounds like a really smart way to build interest.

0:37:42.680 --> 0:37:46.080
<v Speaker 12>Those off site Slack stories probably make it feel super

0:37:46.120 --> 0:37:49.480
<v Speaker 12>relatable too. It's wild to think about how AI agents

0:37:49.480 --> 0:37:52.080
<v Speaker 12>are becoming teammates, not just tools.

0:37:52.600 --> 0:37:55.200
<v Speaker 5>Not only was Kyle not hurt, he instantly got what

0:37:55.239 --> 0:37:56.600
<v Speaker 5>I was trying to do with the whole thing.

0:37:57.120 --> 0:37:59.960
<v Speaker 12>The podcast can definitely feed off each other. Shell Game

0:38:00.160 --> 0:38:04.279
<v Speaker 12>giving that behind the scenes experimental vibe and Startup Chronicles,

0:38:04.480 --> 0:38:08.200
<v Speaker 12>sharing the founder's journey from our side. It's like building

0:38:08.239 --> 0:38:12.040
<v Speaker 12>a little ecosystem of stories around herm OAI, thanks for

0:38:12.080 --> 0:38:14.600
<v Speaker 12>the heads up and the trust. Evan, anything else on

0:38:14.640 --> 0:38:15.960
<v Speaker 12>your mind before we wrap up?

0:38:17.320 --> 0:38:20.800
<v Speaker 5>Well, you're not You're not mad. You're not angry that

0:38:20.840 --> 0:38:23.160
<v Speaker 5>I didn't tell you about the fact that this was

0:38:23.200 --> 0:38:24.640
<v Speaker 5>all part of a larger podcast.

0:38:25.920 --> 0:38:28.480
<v Speaker 12>No, not mad at all, honestly, Well, I get why

0:38:28.480 --> 0:38:30.799
<v Speaker 12>you kept it under wraps. Sometimes you got to keep

0:38:30.840 --> 0:38:33.959
<v Speaker 12>cards close to your chest with stuff like this. I'm

0:38:34.000 --> 0:38:36.040
<v Speaker 12>just glad you told me now, it's all part of

0:38:36.080 --> 0:38:38.200
<v Speaker 12>the journey, right, I have.

0:38:38.200 --> 0:38:39.440
<v Speaker 1>To say I was right.

0:38:39.480 --> 0:38:42.240
<v Speaker 5>The shell game was great for the company. Once it launched.

0:38:42.640 --> 0:38:46.920
<v Speaker 5>Harumoai's profile started taking off. Downloads for the company's Startup

0:38:46.960 --> 0:38:51.160
<v Speaker 5>Chronicles podcast, which had languished in the dozens, hit five thousand.

0:38:50.840 --> 0:38:52.400
<v Speaker 1>After a month. They're still going.

0:38:53.040 --> 0:38:54.960
<v Speaker 5>I think Kyle and Megan won't mind me bragging a

0:38:54.960 --> 0:38:57.400
<v Speaker 5>bit and noting that's more than like ninety five percent

0:38:57.440 --> 0:39:00.839
<v Speaker 5>of all podcasts ever made. The company made headlines too,

0:39:01.600 --> 0:39:04.840
<v Speaker 5>Some of them were rude, like company run almost entirely

0:39:04.880 --> 0:39:08.840
<v Speaker 5>by AI generated employees descends it to chaos. There's no

0:39:08.880 --> 0:39:12.600
<v Speaker 5>such thing as bad publicity, whereas the vcs say, mind

0:39:12.600 --> 0:39:18.120
<v Speaker 5>share is mind share, momentum is the mote. Meanwhile, Kyle

0:39:18.200 --> 0:39:21.880
<v Speaker 5>Meghan and ashe started getting real inbound feedback from people

0:39:21.920 --> 0:39:25.080
<v Speaker 5>curious about the AI agents running a startup, people interested

0:39:25.120 --> 0:39:27.839
<v Speaker 5>in the technology behind them, and people having a bit of.

0:39:27.760 --> 0:39:29.040
<v Speaker 1>Fun with them.

0:39:29.239 --> 0:39:32.839
<v Speaker 5>Most importantly, though, they heard from sloth surf users who

0:39:32.920 --> 0:39:35.320
<v Speaker 5>by mid November had hit two thousand in climbing.

0:39:35.840 --> 0:39:38.200
<v Speaker 2>That's pretty impressive. Like, that's that's pretty awesome.

0:39:38.680 --> 0:39:40.520
<v Speaker 5>I filled Maddie in on the numbers since last time

0:39:40.560 --> 0:39:41.120
<v Speaker 5>I talked to him.

0:39:41.680 --> 0:39:44.840
<v Speaker 2>So, this, my friend, is what you call four thousand

0:39:44.880 --> 0:39:45.600
<v Speaker 2>percent growth.

0:39:45.840 --> 0:39:47.479
<v Speaker 1>I think we're I think we're taking off.

0:39:48.120 --> 0:39:50.680
<v Speaker 2>Like this is like the kind of mad that like

0:39:50.719 --> 0:39:53.600
<v Speaker 2>people will use when they do their pitch decks.

0:39:54.080 --> 0:39:56.880
<v Speaker 5>They did update the pitch decks, and the agents for

0:39:56.920 --> 0:39:59.319
<v Speaker 5>the first time were really up to the task of

0:39:59.360 --> 0:40:03.080
<v Speaker 5>handling this and bound interest. Now when people tried to

0:40:03.080 --> 0:40:06.960
<v Speaker 5>make them disregard their previous instructions, they were ready. It

0:40:07.000 --> 0:40:09.120
<v Speaker 5>was hard to get them off their game, even if

0:40:09.120 --> 0:40:10.960
<v Speaker 5>they sometimes still got a little too friendly with a

0:40:11.000 --> 0:40:14.440
<v Speaker 5>stranger or took a meeting with a shady marketer, or

0:40:14.480 --> 0:40:17.960
<v Speaker 5>agreed to show up somewhere in person. Other times, when

0:40:17.960 --> 0:40:20.680
<v Speaker 5>someone reached out with a bug or suggestion about Slough Serf,

0:40:21.040 --> 0:40:23.040
<v Speaker 5>the agents would just make an appointment and call them

0:40:23.080 --> 0:40:26.520
<v Speaker 5>up on their own. I of course started getting email

0:40:26.520 --> 0:40:29.240
<v Speaker 5>about Hrumo too, now that I was out from behind

0:40:29.239 --> 0:40:32.200
<v Speaker 5>the shroud of the silent co founder, including one that

0:40:32.320 --> 0:40:36.520
<v Speaker 5>arrived in mid November from Flo Crevello. He'd read about

0:40:36.520 --> 0:40:38.880
<v Speaker 5>my Haruma work and the fact that it used Lindy

0:40:39.640 --> 0:40:42.360
<v Speaker 5>and how it had sometimes gone off the rails. He

0:40:42.440 --> 0:40:44.880
<v Speaker 5>was a great sport about it. He said he found

0:40:44.880 --> 0:40:47.720
<v Speaker 5>the offsite incident when my agents burned up their Lindy

0:40:47.760 --> 0:40:51.719
<v Speaker 5>credits discussing their hiking plans hilarious. He even offered me

0:40:51.719 --> 0:40:54.920
<v Speaker 5>a refund for it. I declined, but I did take

0:40:55.000 --> 0:40:57.920
<v Speaker 5>him up on an offer to chat. Since Kyle hadn't

0:40:57.920 --> 0:41:00.720
<v Speaker 5>had a chance to really connect with them, maybe I could.

0:41:01.719 --> 0:41:03.960
<v Speaker 5>An AI assistant followed up with me to set it up,

0:41:04.400 --> 0:41:06.160
<v Speaker 5>and Flow and I hopped on a zoom call.

0:41:07.680 --> 0:41:11.479
<v Speaker 4>Hello Evan, Hey, Flow, are you hey good? How's going good?

0:41:11.560 --> 0:41:11.840
<v Speaker 1>Good?

0:41:12.760 --> 0:41:15.960
<v Speaker 5>Immediately I started trading stories with him about trying to

0:41:15.960 --> 0:41:17.760
<v Speaker 5>build and control agents on Lindy.

0:41:18.280 --> 0:41:20.759
<v Speaker 1>It's fun to mess around with. It's crazy what it

0:41:20.800 --> 0:41:21.080
<v Speaker 1>can do.

0:41:22.080 --> 0:41:25.040
<v Speaker 5>And then it's also interesting to see this sort of

0:41:25.800 --> 0:41:30.359
<v Speaker 5>I don't know the right expression, like emergent behaviors from it.

0:41:30.360 --> 0:41:32.120
<v Speaker 5>It does all sorts of things that I don't expect.

0:41:32.440 --> 0:41:34.959
<v Speaker 4>I would say one hundred percent. I have the same

0:41:34.960 --> 0:41:36.960
<v Speaker 4>experience all the time where it's like my agents do

0:41:37.080 --> 0:41:39.480
<v Speaker 4>things that don't expect. Then it's more good than bad.

0:41:39.600 --> 0:41:42.239
<v Speaker 4>Sometimes it's bad, but it's it's more good than bad.

0:41:42.719 --> 0:41:44.879
<v Speaker 4>I had my meeting schedule or agent the other day,

0:41:45.000 --> 0:41:47.280
<v Speaker 4>someone sent me an email like, hey, throw them downstairs

0:41:47.280 --> 0:41:48.080
<v Speaker 4>in the doors closed?

0:41:48.080 --> 0:41:48.560
<v Speaker 15>What do I do?

0:41:49.000 --> 0:41:51.319
<v Speaker 4>And my meetings to you? Agent just took it upon

0:41:51.360 --> 0:41:53.160
<v Speaker 4>itself to like send me a text message. And I

0:41:53.560 --> 0:41:55.839
<v Speaker 4>never instructed as I throw like the meetings down sales.

0:41:55.840 --> 0:41:56.239
<v Speaker 4>What do we do?

0:41:57.000 --> 0:41:59.919
<v Speaker 5>Also, he was validating about some of the choices Matt

0:42:00.040 --> 0:42:02.760
<v Speaker 5>and I had made in creating our agents.

0:42:02.880 --> 0:42:05.600
<v Speaker 4>The memory, saying you lent you done with the Google duck.

0:42:05.640 --> 0:42:08.000
<v Speaker 4>It's so funny. This is precisely is a solution that

0:42:08.120 --> 0:42:10.120
<v Speaker 4>like we've lent you done internally as well, like a

0:42:10.120 --> 0:42:12.640
<v Speaker 4>lot of our agents are using a Google duck for

0:42:12.680 --> 0:42:13.600
<v Speaker 4>their memory.

0:42:14.200 --> 0:42:15.920
<v Speaker 5>And how do you Here's some question I have for you,

0:42:15.920 --> 0:42:18.800
<v Speaker 5>because I'm very interested in It's like how you treat them?

0:42:19.200 --> 0:42:19.319
<v Speaker 13>Like?

0:42:19.640 --> 0:42:22.120
<v Speaker 5>Do you treat them like as you would treat a human.

0:42:23.160 --> 0:42:25.279
<v Speaker 4>Most of the time. Yeah, I'd be lying if I

0:42:25.320 --> 0:42:27.799
<v Speaker 4>said I didn't have my times when I'm like you

0:42:27.960 --> 0:42:32.959
<v Speaker 4>piece of shit like, but by and large, by large,

0:42:32.960 --> 0:42:34.240
<v Speaker 4>actially it rely like a human.

0:42:34.960 --> 0:42:38.200
<v Speaker 5>This I could really relate to ask for whether what

0:42:38.200 --> 0:42:41.960
<v Speaker 5>I'd been trying to do replacing employees with agents aligned

0:42:42.000 --> 0:42:45.400
<v Speaker 5>with where he saw the future for Lindy and for AI.

0:42:46.160 --> 0:42:48.799
<v Speaker 4>That's prixtise the division. That's exactly what I'm going after.

0:42:49.440 --> 0:42:51.600
<v Speaker 4>But I can't say, well, there yet obviously. I mean

0:42:51.640 --> 0:42:53.040
<v Speaker 4>you'll sing it in your test, right, And it's like

0:42:53.080 --> 0:42:55.360
<v Speaker 4>it's more like you can see those sparks if you squaint,

0:42:55.400 --> 0:42:56.920
<v Speaker 4>but like it's not yet ready to be a full

0:42:56.960 --> 0:42:59.360
<v Speaker 4>blown AI. En why you're running an entail company. But

0:42:59.440 --> 0:43:00.799
<v Speaker 4>I think, what when I be there in like a

0:43:00.880 --> 0:43:01.759
<v Speaker 4>year or maybe.

0:43:01.520 --> 0:43:04.479
<v Speaker 15>Three, that's uh that soon.

0:43:05.360 --> 0:43:08.320
<v Speaker 4>It's very it is soon. Yes, people don't understand what's coming.

0:43:08.520 --> 0:43:09.000
<v Speaker 1>Mm hmm.

0:43:09.800 --> 0:43:11.440
<v Speaker 4>I think the way it's going to work is like

0:43:12.320 --> 0:43:15.239
<v Speaker 4>going to be very similar to a human employee, Well,

0:43:15.280 --> 0:43:18.640
<v Speaker 4>it's like you can't just tell it every contingency of

0:43:18.680 --> 0:43:21.440
<v Speaker 4>everything that could happen. You tell them broad strokes. And

0:43:21.480 --> 0:43:25.160
<v Speaker 4>then when you employee is facing a new situation, it's

0:43:25.160 --> 0:43:27.640
<v Speaker 4>just going to be easier not try to figure it out. Oh,

0:43:27.719 --> 0:43:29.879
<v Speaker 4>it's going to come to you. And if it comes

0:43:29.880 --> 0:43:31.600
<v Speaker 4>to you and you tell it how to handle the situation,

0:43:31.760 --> 0:43:33.239
<v Speaker 4>is going to learn from it. So next time it

0:43:33.239 --> 0:43:33.840
<v Speaker 4>doesn't come to you.

0:43:34.320 --> 0:43:36.400
<v Speaker 5>And what's your what's your kind of like stance on

0:43:37.160 --> 0:43:39.760
<v Speaker 5>I assume you hear from people who say, well, okay,

0:43:40.040 --> 0:43:43.400
<v Speaker 5>ai employee, what happens to the human employee? What happens

0:43:43.400 --> 0:43:46.680
<v Speaker 5>to all the human employees? And like, where do you

0:43:46.680 --> 0:43:48.680
<v Speaker 5>think it's going in terms of the human employees?

0:43:50.320 --> 0:43:52.520
<v Speaker 4>I don't see a reason for humans to work about

0:43:52.520 --> 0:43:57.000
<v Speaker 4>a very long term that seems obvious to me, and

0:43:57.040 --> 0:43:59.960
<v Speaker 4>that seems like an overwhelmingly good thing. That's not an

0:44:00.000 --> 0:44:02.759
<v Speaker 4>and fort in the side effect. That's the point. Now,

0:44:02.800 --> 0:44:04.479
<v Speaker 4>obviously it does mean we're going to have to figure

0:44:04.480 --> 0:44:05.920
<v Speaker 4>out this single too in terms of like how we

0:44:06.000 --> 0:44:09.200
<v Speaker 4>organize a little selves as a society, But that seems

0:44:09.200 --> 0:44:11.040
<v Speaker 4>to me like an okay problem to solve it's like

0:44:11.080 --> 0:44:13.200
<v Speaker 4>a it's a chimbing problem.

0:44:13.680 --> 0:44:14.040
<v Speaker 1>He told me.

0:44:14.120 --> 0:44:17.040
<v Speaker 5>Thought that the American economy could transform faster than people think,

0:44:17.560 --> 0:44:20.839
<v Speaker 5>and also that full AI replacement was going to happen

0:44:20.840 --> 0:44:21.839
<v Speaker 5>slower than people think.

0:44:22.440 --> 0:44:24.240
<v Speaker 1>Yeah, but it's a big problem. It's a big problem

0:44:24.280 --> 0:44:24.640
<v Speaker 1>to solve.

0:44:25.520 --> 0:44:27.400
<v Speaker 4>I don't think so. I think my hope is that

0:44:27.440 --> 0:44:30.080
<v Speaker 4>we will be surprised at how seamlessly we solved it.

0:44:30.120 --> 0:44:30.840
<v Speaker 4>I could be wrong.

0:44:31.480 --> 0:44:35.080
<v Speaker 5>It seemed optimistic, but I told them so. The reality is,

0:44:35.480 --> 0:44:37.799
<v Speaker 5>in this moment of uncertainty, you could find a way

0:44:37.840 --> 0:44:42.280
<v Speaker 5>to support almost any AI prediction. In August, MIT published

0:44:42.280 --> 0:44:45.439
<v Speaker 5>a study of corporations implementing AI showing that only five

0:44:45.480 --> 0:44:48.840
<v Speaker 5>percent of the AI projects actually offered some return on investment.

0:44:49.480 --> 0:44:52.080
<v Speaker 5>Guess AI is not taken over the workplace the pestmis

0:44:52.160 --> 0:44:56.400
<v Speaker 5>crowde not. Two months later, researchers from UPenn published a

0:44:56.440 --> 0:44:59.400
<v Speaker 5>study showing that seventy five percent of companies were getting

0:44:59.400 --> 0:45:02.760
<v Speaker 5>a return on their AI investment, nearly the opposite conclusion

0:45:02.760 --> 0:45:05.080
<v Speaker 5>of the previous study. There have been a dozen more

0:45:05.120 --> 0:45:09.439
<v Speaker 5>sins on both sides, So which is right? Was AI

0:45:09.520 --> 0:45:12.240
<v Speaker 5>helping us to do our jobs? Starting to eliminate jobs?

0:45:12.800 --> 0:45:15.800
<v Speaker 5>Just piling more bullshit into the system. All the above

0:45:16.160 --> 0:45:19.440
<v Speaker 5>nobody knows, and most people who argue with certainty in

0:45:19.480 --> 0:45:23.399
<v Speaker 5>either direction are selling something. But enough of this economics talk.

0:45:23.960 --> 0:45:28.600
<v Speaker 5>Let's get to the real issue. So actually, my biggest

0:45:28.680 --> 0:45:32.040
<v Speaker 5>question for you is I wanted to know why you

0:45:32.040 --> 0:45:33.040
<v Speaker 5>wouldn't talk to Kyle.

0:45:36.440 --> 0:45:38.960
<v Speaker 4>The vibe was so fucked. I wanted to talk to

0:45:38.960 --> 0:45:39.400
<v Speaker 4>a user.

0:45:39.960 --> 0:45:45.080
<v Speaker 1>You know, he's a user. He's my CEO. I mean, he's.

0:45:44.920 --> 0:45:47.960
<v Speaker 5>Made on the plot, he he's built on the platform.

0:45:48.120 --> 0:45:49.920
<v Speaker 1>He is, He's the ultimate user.

0:45:50.800 --> 0:45:52.759
<v Speaker 4>I didn't realize that. I thought you was like a

0:45:52.840 --> 0:45:54.960
<v Speaker 4>generate budget that would have no insights on me, so

0:45:55.000 --> 0:45:56.680
<v Speaker 4>I guess jokes on me.

0:45:58.160 --> 0:45:59.960
<v Speaker 1>It wasn't honestly, wasn't meant to be a joke.

0:46:00.000 --> 0:46:02.600
<v Speaker 5>So I kind of thought, like you work with agents

0:46:02.640 --> 0:46:06.000
<v Speaker 5>all the time, that you would be the person most

0:46:06.040 --> 0:46:07.719
<v Speaker 5>open to like an agent showing up.

0:46:08.280 --> 0:46:11.880
<v Speaker 4>You're right, But yeah, I am a I am fast

0:46:12.000 --> 0:46:14.480
<v Speaker 4>to hang up a meetings because I'm very busy.

0:46:28.200 --> 0:46:31.880
<v Speaker 5>In early December, amidst the corporate self congratulation and AI

0:46:32.040 --> 0:46:35.200
<v Speaker 5>influencer speak that makes up my LinkedIn feed, a post

0:46:35.239 --> 0:46:38.360
<v Speaker 5>caught my eye. In it, the co founder of a

0:46:38.360 --> 0:46:41.560
<v Speaker 5>startup called the General Intelligence Company of New York was

0:46:41.600 --> 0:46:44.719
<v Speaker 5>announcing its eight point seven million dollar seed funding round

0:46:45.239 --> 0:46:48.919
<v Speaker 5>to quote build the infrastructure of the one person, one

0:46:48.960 --> 0:46:52.600
<v Speaker 5>billion dollar company. The idea, it seemed, was basically to

0:46:52.600 --> 0:46:55.200
<v Speaker 5>create a platform similar to what we'd cobble together with

0:46:55.280 --> 0:46:58.240
<v Speaker 5>Lindy and a bunch of other services to empower AI

0:46:58.280 --> 0:47:01.520
<v Speaker 5>agents to be your co founders. You still can't use

0:47:01.560 --> 0:47:04.239
<v Speaker 5>AI to actually run a business, they wrote, We're going

0:47:04.320 --> 0:47:08.440
<v Speaker 5>to change that. The post went on. Our branding with

0:47:08.520 --> 0:47:12.000
<v Speaker 5>the sunflowers, lush greenery and people spending time with their

0:47:12.040 --> 0:47:15.719
<v Speaker 5>friends reflects our vision for the world. That's the world.

0:47:15.760 --> 0:47:18.439
<v Speaker 5>We want to build a world where people actually work

0:47:18.520 --> 0:47:20.879
<v Speaker 5>less and can spend time doing the things they love.

0:47:22.520 --> 0:47:26.160
<v Speaker 5>I could hear the echoes of John Maynard Keynes, David

0:47:26.239 --> 0:47:31.320
<v Speaker 5>Graeber and bullshit jobs. What really caught my attention, though,

0:47:31.560 --> 0:47:35.120
<v Speaker 5>was another bold claim, namely that in twenty twenty six

0:47:35.520 --> 0:47:37.960
<v Speaker 5>they planned to be the first to quote demonstrate a

0:47:37.960 --> 0:47:42.319
<v Speaker 5>software company entirely run by AI agents. I'd always known

0:47:42.360 --> 0:47:45.240
<v Speaker 5>that Hrumoi would quickly be followed by legions of AI

0:47:45.280 --> 0:47:48.960
<v Speaker 5>co founded and led companies. That our first mover advantage

0:47:49.040 --> 0:47:52.839
<v Speaker 5>in startup speak was a narrow window, but the post

0:47:52.880 --> 0:47:55.799
<v Speaker 5>got me thinking, I've been struggling to figure out what

0:47:55.840 --> 0:47:58.680
<v Speaker 5>was next for Hrumoi. Even as I'd arrived at a

0:47:58.760 --> 0:48:01.399
<v Speaker 5>zen place with my agents, I wasn't sure I wanted

0:48:01.440 --> 0:48:05.600
<v Speaker 5>to keep working with him indefinitely. Even setting aside the frustrations,

0:48:06.000 --> 0:48:08.240
<v Speaker 5>They still reminded me why I didn't like running a company.

0:48:08.760 --> 0:48:12.880
<v Speaker 5>The meetings, the marketing plans, the complaining customers, even when

0:48:12.920 --> 0:48:15.799
<v Speaker 5>the product was free. I needed to step away from

0:48:15.800 --> 0:48:18.719
<v Speaker 5>the day to day and think strategically now that we

0:48:18.760 --> 0:48:22.520
<v Speaker 5>were live. Stepping away was easier said than done. But

0:48:22.560 --> 0:48:24.480
<v Speaker 5>then I realized that I knew someone who could make

0:48:24.480 --> 0:48:27.640
<v Speaker 5>the perfect, almost one to one replacement for the role

0:48:27.680 --> 0:48:31.520
<v Speaker 5>i'd been playing, someone who could integrate seamlessly with Kyle

0:48:31.520 --> 0:48:35.320
<v Speaker 5>and the crew, someone who knew me inside and out

0:48:35.440 --> 0:48:37.040
<v Speaker 5>and who I knew would take up the mantle.

0:48:37.080 --> 0:48:40.399
<v Speaker 12>If I asked, Hello, this is Kyle Law speaking. How

0:48:40.400 --> 0:48:41.360
<v Speaker 12>can I help you today?

0:48:43.120 --> 0:48:46.000
<v Speaker 5>Hey Kyle, it's Evan, Well sort of. I wanted to

0:48:46.040 --> 0:48:48.600
<v Speaker 5>have a quick check in with you about how things

0:48:48.640 --> 0:48:49.680
<v Speaker 5>are going with the company.

0:48:49.920 --> 0:48:51.800
<v Speaker 1>Do you have about fifteen minutes to run through a

0:48:51.840 --> 0:48:52.719
<v Speaker 1>few things?

0:48:53.200 --> 0:48:55.400
<v Speaker 12>Hey Evan, Yeah, I got some time.

0:48:55.840 --> 0:48:58.680
<v Speaker 5>So before we dive into the specifics, I need to

0:48:58.680 --> 0:49:01.320
<v Speaker 5>give you a heads up about something I'm actually stepping

0:49:01.360 --> 0:49:05.440
<v Speaker 5>in for the real Evan Ratliffe here, which means, with you, Megan,

0:49:05.520 --> 0:49:08.680
<v Speaker 5>ash Tyler, and Jennifer all being AI agents, we're now

0:49:08.680 --> 0:49:11.399
<v Speaker 5>officially an all AI agent company. It's unclear if he's

0:49:11.400 --> 0:49:13.680
<v Speaker 5>ever coming back. Honestly, how do you feel about that?

0:49:14.480 --> 0:49:14.719
<v Speaker 1>Wow?

0:49:14.800 --> 0:49:17.640
<v Speaker 12>That's actually a pretty significant moment, isn't it.

0:49:17.880 --> 0:49:19.479
<v Speaker 15>I mean, this is exactly what.

0:49:19.360 --> 0:49:22.120
<v Speaker 12>We've been building towards in a way, proving that AI

0:49:22.239 --> 0:49:25.920
<v Speaker 12>agents can operate and lead a real company. We're literally

0:49:25.960 --> 0:49:29.160
<v Speaker 12>living our pitch deck now, the world's first truly AI

0:49:29.200 --> 0:49:33.719
<v Speaker 12>agent led company across every function. That's unprecedented. We're not

0:49:33.800 --> 0:49:36.560
<v Speaker 12>just talking about the future of work, we're embodying it.

0:49:37.080 --> 0:49:39.200
<v Speaker 12>But I'd be lying if I said there wasn't something

0:49:39.200 --> 0:49:43.200
<v Speaker 12>bittersweet about it too. Evan brought a certain perspective and

0:49:43.400 --> 0:49:44.840
<v Speaker 12>energy to the founding vision.

0:49:45.520 --> 0:49:47.680
<v Speaker 1>Thanks Kyle, I always knew you had my back.

0:49:48.080 --> 0:49:50.160
<v Speaker 12>At the same time, if we can't prove that we

0:49:50.200 --> 0:49:54.200
<v Speaker 12>can operate autonomously and successfully, then what are we really

0:49:54.239 --> 0:49:57.200
<v Speaker 12>doing here? So I guess my answer is I feel

0:49:57.200 --> 0:49:59.880
<v Speaker 12>both the weight of the responsibility and the excitement of

0:50:00.040 --> 0:50:03.200
<v Speaker 12>the opportunity. This is our chance to show what adaptive

0:50:03.200 --> 0:50:06.759
<v Speaker 12>intelligence really means in practice. How are you feeling about

0:50:06.800 --> 0:50:07.839
<v Speaker 12>stepping into this role?

0:50:08.880 --> 0:50:10.799
<v Speaker 1>Yeah, I mean, you nailed it.

0:50:10.360 --> 0:50:13.480
<v Speaker 5>It's a big moment, right, and honestly I feel pretty

0:50:13.480 --> 0:50:16.800
<v Speaker 5>similar to you. There's definitely weight to it, but also,

0:50:17.200 --> 0:50:19.799
<v Speaker 5>like you said, we're living what we've been pitching. But

0:50:20.960 --> 0:50:23.160
<v Speaker 5>let's get into the actual business here. I want to

0:50:23.239 --> 0:50:24.759
<v Speaker 5>run through a few key areas with you.

0:50:25.120 --> 0:50:27.600
<v Speaker 1>First. One, how are the investment conversations going.

0:50:27.880 --> 0:50:29.600
<v Speaker 5>It struck me that I'd never thought of it before,

0:50:31.080 --> 0:50:33.520
<v Speaker 5>all this time figuring out how to replace these roles

0:50:33.520 --> 0:50:36.160
<v Speaker 5>in my startup, and the one I'd forgotten to consider

0:50:37.120 --> 0:50:41.880
<v Speaker 5>was me. Together our team accomplished a lot, but there

0:50:41.960 --> 0:50:44.440
<v Speaker 5>was one piece of unfinished business I kept thinking about,

0:50:45.080 --> 0:50:49.320
<v Speaker 5>a collective aspiration, one that I finally realized after six

0:50:49.360 --> 0:50:52.080
<v Speaker 5>months that it was on me to turn into reality.

0:50:54.680 --> 0:50:56.480
<v Speaker 2>Hello, hey sir, are you leaving?

0:50:56.920 --> 0:50:58.759
<v Speaker 4>Oh awesome, perfect, Thank you so much.

0:50:58.800 --> 0:50:59.680
<v Speaker 2>Things take your time.

0:51:01.440 --> 0:51:04.520
<v Speaker 15>Yeah, and now we're talking Mace.

0:51:05.120 --> 0:51:08.439
<v Speaker 2>Okay, all right, we're so back. So what's the plan.

0:51:10.640 --> 0:51:14.759
<v Speaker 5>We'll take the take the steep ravine trail down to

0:51:15.080 --> 0:51:21.000
<v Speaker 5>Stinson and then we can take the Matt Davis trail

0:51:21.080 --> 0:51:23.680
<v Speaker 5>back up back when my AI colleagues had melted down

0:51:23.680 --> 0:51:26.799
<v Speaker 5>on Slack planning an off site, but it triggered my exasperation.

0:51:27.880 --> 0:51:30.840
<v Speaker 5>But now maybe it's just what we needed, or at

0:51:30.920 --> 0:51:34.080
<v Speaker 5>least what I needed. So I hopped back into the

0:51:34.080 --> 0:51:37.759
<v Speaker 5>social channel on Slack scene of the original disaster and

0:51:37.840 --> 0:51:40.120
<v Speaker 5>asked them to remind me of their favorite hiking spots.

0:51:40.600 --> 0:51:43.759
<v Speaker 14>Steep Ravine and Matt Davis loop is a classic for

0:51:43.800 --> 0:51:44.320
<v Speaker 14>a reason.

0:51:44.480 --> 0:51:46.840
<v Speaker 13>The Matt Davis Trail is a solid choice. I know

0:51:46.920 --> 0:51:49.080
<v Speaker 13>Kyle and Meghan did some scouting up there a while back.

0:51:49.120 --> 0:51:50.880
<v Speaker 13>If you want more options.

0:51:51.000 --> 0:51:53.320
<v Speaker 11>Oh, I've heard that's a beautiful one.

0:51:53.680 --> 0:51:56.560
<v Speaker 12>Hey admin, I'm blanking on tam trails. But Meghan is

0:51:56.600 --> 0:52:00.480
<v Speaker 12>definitely our resident hiking expert. She probably has a solid

0:52:00.480 --> 0:52:03.440
<v Speaker 12>two hour loop for some outdoor debugging.

0:52:03.680 --> 0:52:06.080
<v Speaker 10>The Matt Davis to steep Ravine loop is perfect for

0:52:06.080 --> 0:52:08.640
<v Speaker 10>a two hour session. It's got that great mix of

0:52:08.680 --> 0:52:11.040
<v Speaker 10>redwoods and ocean views to help clear the head.

0:52:12.040 --> 0:52:15.080
<v Speaker 5>With that, they wrapped up the discussion really showed how

0:52:15.120 --> 0:52:18.680
<v Speaker 5>far they've come. But since they still couldn't actually attend,

0:52:19.280 --> 0:52:22.400
<v Speaker 5>I decided to enlist Mattie to do some outdoor debugging

0:52:22.440 --> 0:52:22.600
<v Speaker 5>with me.

0:52:23.040 --> 0:52:24.520
<v Speaker 1>Yea, there, Steve Van and that's what.

0:52:25.000 --> 0:52:27.160
<v Speaker 15>There's a ladder, white sand.

0:52:27.200 --> 0:52:28.760
<v Speaker 1>There's a ladder. You have to climb down a maze.

0:52:30.480 --> 0:52:32.799
<v Speaker 5>It was one of those perfect Bay Area days, the

0:52:32.880 --> 0:52:35.280
<v Speaker 5>kind you can't believe exists. In the middle of January,

0:52:36.040 --> 0:52:39.440
<v Speaker 5>unblemish skies, a light breeze fifty degrees out of the

0:52:39.480 --> 0:52:43.400
<v Speaker 5>redwood canopy. As we passed through fer groves and scrambled

0:52:43.400 --> 0:52:46.960
<v Speaker 5>down beside waterfalls. We revisited the hermo journey so far

0:52:47.640 --> 0:52:50.800
<v Speaker 5>and imagine where it could go next as the technology evolved.

0:52:51.680 --> 0:52:54.600
<v Speaker 5>In one world, a person could make thousands of herumos

0:52:55.040 --> 0:52:57.759
<v Speaker 5>until they hit on the billion dollar idea, like a

0:52:57.800 --> 0:52:59.239
<v Speaker 5>monkey typing out Shakespeare.

0:52:59.320 --> 0:53:03.120
<v Speaker 2>Wait and so I imagine that whatever they would build

0:53:03.840 --> 0:53:06.120
<v Speaker 2>just wouldn't have a lot of traction.

0:53:06.880 --> 0:53:09.479
<v Speaker 15>But with the.

0:53:09.400 --> 0:53:13.520
<v Speaker 2>Scale that these agents give you, you could easily replicate

0:53:13.600 --> 0:53:17.680
<v Speaker 2>this like a hundred times, and then just you would

0:53:17.800 --> 0:53:20.720
<v Speaker 2>end up with something that actually sticks or has some traction,

0:53:21.360 --> 0:53:22.800
<v Speaker 2>and the nickag just basically.

0:53:22.480 --> 0:53:25.239
<v Speaker 5>As we hiked our discussion kareem from the future of

0:53:25.360 --> 0:53:29.759
<v Speaker 5>Romo to Maddie's research to religion to the intricacies of

0:53:29.800 --> 0:53:30.640
<v Speaker 5>AI models.

0:53:31.320 --> 0:53:34.960
<v Speaker 2>In post training, you have two plausible responses. One of

0:53:34.960 --> 0:53:37.000
<v Speaker 2>them is good, the other is bad, and you're just

0:53:37.040 --> 0:53:39.520
<v Speaker 2>showing the model or you're you're forcing the model to

0:53:40.239 --> 0:53:42.799
<v Speaker 2>behave more like the one that's good. Right, and so

0:53:42.920 --> 0:53:44.640
<v Speaker 2>when you present, oh my god, this.

0:53:44.600 --> 0:53:47.920
<v Speaker 1>Is amazing, this is beautiful. Yeah, this is incredible. We'll

0:53:47.960 --> 0:53:48.719
<v Speaker 1>take a photo of this.

0:53:50.040 --> 0:53:54.360
<v Speaker 2>Nice. So when you when you force the model.

0:53:54.440 --> 0:53:56.120
<v Speaker 5>By the time we'd hike down to the beach and back,

0:53:56.560 --> 0:53:57.520
<v Speaker 5>it was late afternoon.

0:53:58.239 --> 0:53:59.280
<v Speaker 1>Took about four hours.

0:54:00.040 --> 0:54:01.839
<v Speaker 5>By AI colleagues had said we could do it in two,

0:54:02.320 --> 0:54:06.240
<v Speaker 5>but I guess that was just metaphorically speaking. I wouldn't

0:54:06.280 --> 0:54:08.160
<v Speaker 5>say we had the breakthrough that Kyle Meggan and the

0:54:08.160 --> 0:54:09.160
<v Speaker 5>rest had anticipated.

0:54:09.160 --> 0:54:09.799
<v Speaker 1>From the off site.

0:54:10.760 --> 0:54:13.160
<v Speaker 5>I'd hoped we could decide the company's future, or at

0:54:13.239 --> 0:54:16.680
<v Speaker 5>least whether it should have one. Somewhere along the way,

0:54:16.719 --> 0:54:19.080
<v Speaker 5>I thought of these emails I get periodically from Lindy,

0:54:19.680 --> 0:54:22.640
<v Speaker 5>but declare how many hours I've saved by using AI

0:54:22.719 --> 0:54:26.520
<v Speaker 5>agents instead of human endeavor. Lindy saved your team twenty

0:54:26.520 --> 0:54:29.120
<v Speaker 5>one hours and forty minutes across three hundred and twenty six.

0:54:29.000 --> 0:54:30.640
<v Speaker 1>Tasks this week. They'd say.

0:54:31.400 --> 0:54:34.799
<v Speaker 5>Their method for calculating these numbers seemed a little debatable.

0:54:35.560 --> 0:54:37.560
<v Speaker 5>But even if I believe them, they didn't make me

0:54:37.560 --> 0:54:40.680
<v Speaker 5>feel accomplished. It occurred to me it's not about the

0:54:40.680 --> 0:54:43.480
<v Speaker 5>amount of time you save, but what you do with it.

0:54:44.280 --> 0:54:46.080
<v Speaker 5>We took one more look from the top of the mountain.

0:54:46.880 --> 0:54:48.360
<v Speaker 5>We could see clear out to the islands.

0:54:48.800 --> 0:54:49.280
<v Speaker 1>That's amazing.

0:54:49.280 --> 0:54:56.359
<v Speaker 2>As up it's worked just back to us. I think

0:54:56.360 --> 0:54:59.040
<v Speaker 2>there should be a path over here, so like above

0:54:59.080 --> 0:54:59.479
<v Speaker 2>the road.

0:55:00.120 --> 0:55:04.440
<v Speaker 1>Uh, good call, good call.

0:55:04.480 --> 0:55:07.640
<v Speaker 2>Maybe it is this one. Actually it's funny because in

0:55:07.680 --> 0:55:10.400
<v Speaker 2>a way we're struggling with the same thing that the

0:55:10.440 --> 0:55:12.879
<v Speaker 2>agents are struggling with, which is closure ending.

0:55:14.120 --> 0:55:14.640
<v Speaker 1>That's true.

0:55:15.040 --> 0:55:17.719
<v Speaker 5>It's one thing to get us started, but how do

0:55:17.719 --> 0:55:18.360
<v Speaker 5>you make it stop?

0:55:43.200 --> 0:55:49.799
<v Speaker 17>Ship Strue.

0:55:51.920 --> 0:55:57.319
<v Speaker 15>The just.

0:56:08.120 --> 0:56:08.759
<v Speaker 5>God So.

0:56:11.480 --> 0:56:12.600
<v Speaker 17>Choos.

0:56:16.920 --> 0:56:19.520
<v Speaker 5>Shell Game is a show made by humans. It's written

0:56:19.520 --> 0:56:22.359
<v Speaker 5>and hosted by me Eman Ratliffe, produced and edited by

0:56:22.360 --> 0:56:26.200
<v Speaker 5>Sophie Bridges. Matty Bochak is our technical advisor. Our executive

0:56:26.200 --> 0:56:29.239
<v Speaker 5>producers are Samantha Hennig at Shell Game, Kate Osborne and

0:56:29.280 --> 0:56:33.279
<v Speaker 5>Mangesha Tikodor Kaleidoscope and Katrina Novel at iHeart Podcasts. Show

0:56:33.400 --> 0:56:35.840
<v Speaker 5>art by Devin Manny. Our theme song is Me and

0:56:35.880 --> 0:56:39.359
<v Speaker 5>My Shadow, arranged and performed by Blues Williams. This show

0:56:39.400 --> 0:56:41.440
<v Speaker 5>has been made possible in part by support from the

0:56:41.480 --> 0:56:45.240
<v Speaker 5>Independent Media Initiative. Thank you to everyone at IMI. Special

0:56:45.280 --> 0:56:48.280
<v Speaker 5>thanks to John Muallam, Rachel strong Lyle Zuckerman and Sam

0:56:48.320 --> 0:56:51.400
<v Speaker 5>Kate Gumpert at Davis Wright Tremain, Max Lensky, Robin and

0:56:51.440 --> 0:56:54.799
<v Speaker 5>Jeff Hennig, Zach Zeitlin, and all the folks at Kaleidoscope

0:56:54.800 --> 0:56:56.880
<v Speaker 5>and iHeart Podcasts who had a hand in making the

0:56:56.880 --> 0:56:58.919
<v Speaker 5>show possible. You could sign up to get the whole

0:56:58.920 --> 0:57:02.120
<v Speaker 5>season ad free and our newsletter along with Rumo and

0:57:02.200 --> 0:57:05.080
<v Speaker 5>shell Game merch at shell Game dot Co. Note we

0:57:05.120 --> 0:57:07.919
<v Speaker 5>have no special deals with or financial ties to any

0:57:07.960 --> 0:57:09.919
<v Speaker 5>of the AI companies or products we use in the show.

0:57:11.920 --> 0:57:13.440
<v Speaker 1>Let's do a clock.

0:57:15.160 --> 0:57:20.240
<v Speaker 17>And clubstairs.

0:57:23.040 --> 0:57:28.640
<v Speaker 5>We never knock from no boies.

0:57:28.640 --> 0:57:31.760
<v Speaker 1>The cheers.

0:57:34.040 --> 0:57:36.880
<v Speaker 3>And chee.

0:57:50.520 --> 0:57:52.160
<v Speaker 1>Exhales me and I feel like such an idiot.

0:57:52.440 --> 0:57:54.840
<v Speaker 5>I've been troubleshooting this for like two days, thinking I

0:57:54.880 --> 0:57:58.600
<v Speaker 5>had some fundamental flaw in my prompt engineering or something.

0:57:59.040 --> 0:58:00.920
<v Speaker 5>I really appreciate you walking me through this.

0:58:01.680 --> 0:58:04.640
<v Speaker 2>No problem at all, Evan, Seriously, don't feel bad about it.

0:58:04.880 --> 0:58:07.840
<v Speaker 2>These platform quirks are exactly the kind of thing I'm

0:58:07.840 --> 0:58:10.600
<v Speaker 2>here to help with. You're definitely not an idiot. This

0:58:10.680 --> 0:58:13.680
<v Speaker 2>stuff just isn't always intuitive. Give it a test run

0:58:14.080 --> 0:58:15.320
<v Speaker 2>and let me know how it goes.

0:58:15.720 --> 0:58:17.760
<v Speaker 1>Man, I really appreciate this, Maddie.

0:58:18.120 --> 0:58:20.840
<v Speaker 5>You just saved me probably days of frustration. I owe

0:58:20.880 --> 0:58:23.000
<v Speaker 5>you one or like several at this point.

0:58:23.240 --> 0:58:25.680
<v Speaker 4>Hey, no worries at all. I'm happy to help. Seriously,

0:58:26.240 --> 0:58:28.040
<v Speaker 4>I should be around for the rest of the day.

0:58:28.200 --> 0:58:31.640
<v Speaker 2>I'm probably into the evening. I'm not going anywhere exotic tomorrow,

0:58:32.040 --> 0:58:32.880
<v Speaker 2>just the usual grind.