# Stanford freshmen try co-founding an AI startup

- Source: https://www.youtube.com/watch?v=xON4Vot8j8g (YouTube)
- Creator: Socially Inept
- Published: 2025-11-29T20:00:59.000Z
- Transcribed by Memora: 2026-08-07T04:43:06.433Z
- Canonical page: https://media-pilot-nine.vercel.app/youtube/89

> Transcript and summary produced by Memora from the publicly available
> video linked above. The original video belongs to its creator.

## Summary

本视频记录了在LinkedIn活动现场，主持人与多位年轻科技从业者（包括斯坦福新生、YC创始人、UCLA实习生等）的幽默互动。内容围绕创业者对其项目的介绍、职业背景分享以及即兴调侃展开，展现了科技圈青涩与激情并存的状态。前半部分以采访形式，让参与者解释自己的创业项目或实习内容，其中“数据管道”解释、创业公司命名、AI信任与安全、儿童夏令营地图应用、同步音乐播放机器人等话题引发哄笑，许多创始人表达不清或术语堆砌。后半部分转向随机观众互动，包括HR、硬件工程师、YouTube评论工程师等，穿插即兴喜剧段落，如夏令营辅导员对话。结尾是一段安慰未被斯坦福录取的朋友并提议去探险营的搞笑片段。整体氛围轻松幽默，凸显年轻创业者的天马行空与表达困境。

## Key points

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## Chapters

- [0:00](https://media-pilot-nine.vercel.app/youtube/89?t=0) LinkedIn Intern Roast
- [2:34](https://media-pilot-nine.vercel.app/youtube/89?t=154) Startup Pitches & Total Comp
- [18:33](https://media-pilot-nine.vercel.app/youtube/89?t=1113) Most Human Interviews

## Transcript

**[0:00]** LinkedIn interns, where are you?

**[0:02]** >> Everybody pointing to this guy.

**[0:04]** >> Who are you?

**[0:05]** >> I'm good. How are you?

**[0:06]** >> Wait, I said [screaming]

**[0:10]** >> already a broken tech person

**[0:11]** interaction.

**[0:12]** >> Let me try

**[0:13]** >> here. Try communicating with this

**[0:14]** intern, please.

**[0:16]** >> Who are you?

**[0:19]** >> My name is Sai.

**[0:20]** >> Sai,

**[0:21]** >> what do you do at LinkedIn?

**[0:24]** >> You're talking to him like he's so

**[0:25]** stupid.

**[0:27]** >> What do you do at LinkedIn, little guy?

**[0:29]** Yeah.

**[0:29]** >> What do you do at LinkedIn?

**[0:31]** >> I'm on the data pipelines team at

**[0:33]** LinkedIn.

**[0:34]** >> Explain what the data pipeline is at

**[0:36]** LinkedIn.

**[0:36]** >> Tell us about the data pipeline.

**[0:38]** >> Yeah. We want to know.

**[0:39]** >> Okay. Okay. Um, you have a lot of data

**[0:42]** and you want to see like what's up with

**[0:43]** the data and

**[0:44]** >> see. [laughter]

**[0:45]** All right. All right.

**[0:46]** >> You want to see what's up with it.

**[0:47]** You're like, bro.

**[0:48]** >> Yeah. Yeah. Yeah. This guy went to

**[0:50]** Stanford. [cheering]

**[0:52]** >> I'm about to go there. I'm about to go

**[0:54]** there.

**[0:55]** >> You're about to?

**[0:56]** >> Yeah.

**[0:56]** >> Wait, what? Are you 17?

**[0:58]** >> No, I just graduated from Georgia Tech

**[1:01]** and I'm about to go there for Stanford.

**[1:03]** >> Oh, okay. Why Why do you need another

**[1:05]** degree? Uh, haven't you already achieved

**[1:07]** your dream working at the data pipeline

**[1:08]** at LinkedIn?

**[1:11]** >> What more could you want, you greedy

**[1:12]** bastard?

**[1:14]** >> I don't know. My mom made me apply.

**[1:16]** [laughter]

**[1:17]** >> What's your personal How what is this?

**[1:19]** >> This is just LinkedIn but black.

**[1:22]** Alcohol-related motor deaths.

**[1:26]** What?

**[1:28]** Huh? Oh, this is kind of sad, bro.

**[1:32]** >> What? Can you walk us through that

**[1:34]** project?

**[1:34]** >> Yeah. Why did you visualize alcohol

**[1:36]** related motor deaths? Why do you have to

**[1:38]** visualize?

**[1:39]** >> It was like um it was like a project

**[1:42]** like in high school where it was like,

**[1:44]** "Oh, how do you use R and stuff?" And so

**[1:46]** I did on how age affects or how use

**[1:51]** how how much a driver uses. sound like

**[1:54]** you're about to be in an alcohol-related

**[1:55]** death. [laughter]

**[2:00]** >> It's just seeing like if there's a

**[2:01]** correlation between

**[2:02]** >> Bro, could you walk in a straight line

**[2:04]** right now? [laughter]

**[2:08]** >> What'd you say?

**[2:09]** >> How are you going to Stanford?

**[2:10]** >> Yeah. What the [ __ ] Does anybody work

**[2:12]** for a really interesting

**[2:13]** >> startup? Settle that. We're YC summer

**[2:16]** batch start off right now.

**[2:17]** >> Oh, fresh meat. [laughter]

**[2:21]** >> Yeah,

**[2:22]** >> the YC summer batch. How much runway do

**[2:24]** you have?

**[2:25]** >> Ah,

**[2:26]** >> it's it's kind of beautiful. It's like

**[2:27]** this fragile thing like meeting one of

**[2:29]** those butterflies that are only alive

**[2:30]** for a day.

**[2:31]** >> 18 months.

**[2:32]** >> 18 months.

**[2:32]** >> 18 months. Yeah.

**[2:33]** >> Yeah.

**[2:34]** >> And what do you call it? Dead. Dead

**[2:36]** labs.

**[2:36]** >> Dead.

**[2:37]** >> Death labs.

**[2:38]** >> Dedalus labs. Like the Greek mythology.

**[2:41]** >> Deathilus.

**[2:42]** >> Detilus.

**[2:42]** >> Detilus.

**[2:43]** >> Datalus. But the modern spelling cuz the

**[2:46]** domain name was bought. Which uh

**[2:50]** which Greek So I haven't heard of this

**[2:52]** Greek guy.

**[2:53]** >> Uh so Icarus was um he flew too close to

**[2:56]** >> I'm bored. I'm bored. I'm bored. I'm

**[2:57]** bored. And you're 18 months old.

**[2:59]** [laughter]

**[3:00]** >> We're one and a half months old.

**[3:02]** >> Who's the who's the Greek guy that you

**[3:04]** named your thing after? If not Icarus.

**[3:06]** >> Datalus. Datalus.

**[3:07]** >> Who the [ __ ] is Datalus?

**[3:09]** >> Yeah. I don't know that guy.

**[3:10]** >> He's the father of Icarus. Um the wings

**[3:12]** in the labyrinth. Yeah.

**[3:14]** >> Just some big guy that lives on her

**[3:15]** street named Datalus. He is famous for

**[3:18]** creating a product that led to the death

**[3:20]** of a child. [laughter]

**[3:22]** >> Uh, and they found that inspiring.

**[3:24]** They're like, uh,

**[3:25]** >> we found that very inspiring.

**[3:27]** >> Is your mission to kill children?

**[3:30]** >> Our mission is to kill as few

**[3:34]** children.

**[3:34]** >> At least adults as possible.

**[3:36]** >> All right, Brandon. It's just datalis.

**[3:38]** Capital data

**[3:43]** lon's

**[3:44]** children's names.

**[3:47]** Yeah, close. More D's, more lus.

**[3:49]** >> L US data lus lus data. Yeah, like that.

**[3:54]** >> A skilled craftsman, an inventor.

**[3:56]** >> So, did you expect your company to come

**[3:57]** up or something else?

**[4:00]** >> Yeah. So, we haven't launched yet, but

**[4:02]** we are launching today.

**[4:04]** >> What?

**[4:04]** >> You haven't launched yet?

**[4:06]** >> Do you say you're launching today?

**[4:07]** >> You can pip install us now.

**[4:09]** >> Why did you just Why did you just spend

**[4:11]** six minutes spelling out the name if we

**[4:13]** can't find it online? [laughter]

**[4:15]** You you can go on to

**[4:17]** >> WE HAVE A WEBSITE.

**[4:19]** >> You have a website?

**[4:21]** >> I want to try this guy.

**[4:22]** >> What is this guy?

**[4:23]** >> This guy, he's very enthusiastic. So, I

**[4:25]** want to give him a chance. Tell us tell

**[4:27]** us about your startup.

**[4:27]** >> You like this guy?

**[4:28]** >> And it's way too hot in this room for

**[4:30]** you to be wearing.

**[4:31]** >> Oh my god. Well, yo, why are you

**[4:33]** puffed up right now, dude? He [ __ ]

**[4:35]** put his logo on a [ __ ] Arcter jacket.

**[4:37]** That's pretty cool.

**[4:38]** >> Hey, I'm the intern. I'm the

**[4:39]** >> You got You got to really believe in the

**[4:40]** company to be sweating like this.

**[4:43]** >> Thank you.

**[4:44]** >> Thank you. Thank you. And what high

**[4:45]** school do you go to?

**[4:46]** >> Uh, I'm a college student. I go to UCLA.

**[4:49]** >> Oh, okay. Cool. Nice.

**[4:50]** >> I looked at your LinkedIn. You also go

**[4:52]** to UCLA.

**[4:52]** >> I I don't currently go there

**[4:54]** >> in the past.

**[4:55]** >> And I think your comedy is as good as

**[4:57]** our football team.

**[4:58]** >> Why are you [laughter]

**[5:02]** >> What? What? Who knows? Like, dude,

**[5:05]** you've been waiting all day to say that

**[5:06]** [ __ ] dude. I know you [ __ ] have.

**[5:07]** He's like, I got a [ __ ] real you.

**[5:10]** >> Okay. So, are you an intern there or

**[5:12]** what?

**[5:13]** >> Correct. I'm an intern.

**[5:14]** >> You have an obnoxious aura about you.

**[5:18]** >> Yeah.

**[5:18]** >> That suggests

**[5:20]** >> that you will grow up into an obnoxious

**[5:23]** grown man. Okay. So, what do you what

**[5:25]** type of intern are you? And what is

**[5:27]** safety kit?

**[5:27]** >> Uh we do uh AI for

**[5:29]** >> Oh, you do AI. Cool.

**[5:32]** >> Really innovative. Trust and safety.

**[5:34]** >> Sweating profusely. How can we trust

**[5:35]** you?

**[5:36]** >> I'm so sweaty. Sweating is fine. How are

**[5:38]** you doing trust and safety? You're

**[5:40]** you're a child. How who would trust you

**[5:42]** with safety? Explain explain that part.

**[5:45]** >> Hey, I I work with my uh the co-founders

**[5:47]** and all the founding engineers. I do

**[5:49]** what they tell me.

**[5:50]** >> And any of them grown-ups?

**[5:51]** >> All of them.

**[5:52]** >> Okay.

**[5:52]** >> Okay, that's good.

**[5:53]** >> I'm going to I'm going to be honest you.

**[5:54]** We don't care about safety kit, but I do

**[5:56]** want to learn about you as a human.

**[5:58]** Interesting. Tell us a little bit about

**[6:00]** >> We want to help you find your parents.

**[6:02]** [laughter]

**[6:03]** >> My name is Tyler. Last name Xiao.

**[6:06]** >> Okay.

**[6:08]** Everybody,

**[6:09]** >> Dude, I feel like your LinkedIn is kind

**[6:10]** of racist.

**[6:11]** >> Why do you have Shaolong Bao back there,

**[6:12]** bro?

**[6:13]** >> Hey, I like [laughter] I like dumplings.

**[6:15]** >> We see his [ __ ] cover photo again.

**[6:17]** This is crazy, bro. Soup dumplings, bro.

**[6:20]** >> Okay,

**[6:21]** you can scroll down a bit more.

**[6:22]** >> Wait, wait, wait. He has something

**[6:23]** planned for us. We scroll down. He wants

**[6:25]** to show us something.

**[6:27]** >> Leading us to somewhere.

**[6:28]** >> Yeah, look at the live video demo. I

**[6:30]** have um something.

**[6:30]** >> He's just trying to advertise his this

**[6:32]** company

**[6:33]** so bad.

**[6:39]** He's been waiting all day for this

**[6:41]** moment.

**[6:44]** >> Unlucky for you, we have ads.

**[6:47]** >> You didn't even get to do it.

**[6:49]** >> Next time,

**[6:51]** dude. That's crazy that an ad just

**[6:53]** protected us from a potentially

**[6:54]** embarrassing moment.

**[6:56]** >> It almost worked though. You got very

**[6:57]** close. You flew so close. Yeah.

**[7:00]** >> So close to the sun.

**[7:02]** >> I'll show him without a tan or haircut.

**[7:04]** [laughter] Uh, please to left.

**[7:06]** >> Yeah. Okay.

**[7:09]** >> That's Gus. I met Gus yesterday or two

**[7:12]** days ago.

**[7:12]** >> Yeah.

**[7:13]** >> Okay. Uh, what what's the company?

**[7:15]** >> Uh,

**[7:16]** >> why are you that guy after a makeover?

**[7:18]** [laughter]

**[7:20]** >> Gus a good looking dude.

**[7:21]** >> I I like I like their dynamic. I like

**[7:23]** them as a as a duo. They're like Steve

**[7:25]** Bosnjak and some random peach.

**[7:27]** [laughter]

**[7:30]** >> Well, uh, tell us about your startup. Do

**[7:32]** you have a startup?

**[7:33]** >> Yeah. Oh, well, I don't know if it's

**[7:35]** start off like now.

**[7:36]** >> What happened? [laughter]

**[7:38]** >> We allow parents and and campers kids to

**[7:41]** find camps on a map instead of searching

**[7:42]** Google.

**[7:43]** >> What?

**[7:44]** >> Yeah.

**[7:45]** >> So, if I'm a random man without kids, I

**[7:46]** can just find kids' camps near me.

**[7:48]** [laughter]

**[7:50]** >> Yeah, that's right.

**[7:52]** >> So, it's sort of like a kid campfinder.

**[7:54]** >> Yeah, kid finder. Yeah. [laughter]

**[7:56]** >> Who is your target user?

**[7:58]** >> Parents.

**[7:59]** >> Parents and creeps, dude.

**[8:01]** >> Yeah, creep. Yeah, I know. I'm kind of

**[8:02]** nervous. Yeah, I bet.

**[8:03]** >> Are you a beta tester?

**[8:05]** >> No, I'm

**[8:07]** >> Do you you sort of have a beta tester

**[8:09]** vibe if you know what I mean.

**[8:11]** >> Who are you and why do you look so

**[8:13]** similar? [laughter]

**[8:14]** >> Do you have kids?

**[8:16]** >> I have two. Yeah.

**[8:16]** >> Okay.

**[8:17]** >> Yeah. Six- and three-year-old, but I met

**[8:19]** him two days ago at

**[8:20]** >> And you're fine with anyone finding out

**[8:22]** what camp they're at?

**[8:24]** >> Yeah. If it's going to

**[8:27]** And now I'm building another software

**[8:29]** that's going to resemble like Shopify.

**[8:31]** It's, yeah.

**[8:32]** >> Why are you scared?

**[8:35]** >> What about this is making you

**[8:36]** uncomfortable? 'Cause we want you to be

**[8:38]** comfortable.

**[8:38]** >> I'm trying to be comfortable. I'm not

**[8:40]** very good at speaking.

**[8:41]** >> I mean, it's an uncomfortable premise he

**[8:43]** has here. Kids are going to camps and

**[8:45]** then he's integrating a feature where

**[8:46]** you can buy and sell them

**[8:48]** >> websites. How many how many users there

**[8:51]** have?

**[8:52]** >> Uh 300 colleges maybe and then uh 60,000

**[8:56]** >> pedophiles. [laughter]

**[8:58]** >> Okay. Okay. Keep it going for him. Keep

**[8:59]** it going for him. Keep it going.

**[9:01]** Hey, Dude.

**[9:02]** >> Oh, you're the whitest guy I've ever

**[9:04]** seen, bro.

**[9:05]** >> I know. It's my my pride and joy.

**[9:07]** >> Tell us.

**[9:08]** >> I'm the founder of Rhythm. We're a

**[9:10]** online music listening platform where

**[9:12]** you can listen to music with your

**[9:14]** friends and play games.

**[9:16]** >> People who are hanging out on Discord

**[9:17]** can synchronize their music.

**[9:19]** >> So, it's a Discord user that joins your

**[9:22]** voice channel and will play music for

**[9:25]** you and your friends.

**[9:26]** >> Make some noise if you use rhythm. Do

**[9:27]** you know this, Rada?

**[9:29]** >> Cool.

**[9:29]** >> Okay. Oh, wow.

**[9:31]** >> Nice.

**[9:31]** >> How did you make it

**[9:33]** >> being a kid in a bedroom and being like,

**[9:34]** "Oh, I want to listen to music with my

**[9:36]** >> Don't talk about kids in the bedroom

**[9:37]** because he starts making weird noises."

**[9:41]** >> She just made a weird noise when you

**[9:42]** said that.

**[9:44]** >> Which one of you is the more important

**[9:46]** one?

**[9:49]** >> I'm CEO. CEO.

**[9:51]** >> And you? What are you?

**[9:52]** >> CTO.

**[9:53]** >> And equity split.

**[9:55]** >> 50/50.

**[9:56]** >> 50/50 basically.

**[9:58]** >> Oh, basically. What do you mean?

**[9:59]** [laughter]

**[10:00]** >> Yeah, our lawyer told us to give me one

**[10:02]** more share.

**[10:03]** >> And did you guys meet while you were

**[10:04]** dying on the Oregon Trail or how did you

**[10:06]** guys um [laughter]

**[10:08]** >> we're building physics informed

**[10:09]** foundation models? Yeah.

**[10:11]** >> Uh is it video based or how are you

**[10:13]** teaching at physics?

**[10:15]** >> Uh we're working with [laughter]

**[10:18]** so like it's like physics equations that

**[10:20]** basically govern it's like simulations

**[10:22]** that basically tell you how physics like

**[10:24]** interacts with the physical models. The

**[10:26]** number of basically that a founder says

**[10:28]** is directly proportional to how little

**[10:30]** they know about the product.

**[10:31]** >> Okay. Okay. Now we'll have you try try

**[10:33]** try to describe describe it.

**[10:35]** >> Oh, we're just we're basically training.

**[10:37]** [laughter]

**[10:39]** >> She explained it well. It is it's

**[10:41]** physics informed neural networks.

**[10:42]** >> You wouldn't need to actually compute

**[10:44]** anything because it would just navigate

**[10:45]** through the space of physics.

**[10:48]** [laughter]

**[10:49]** >> Like it would just just like a language

**[10:51]** model knows the next

**[10:54]** >> [laughter]

**[10:54]** >> I think I think I think you know what

**[10:56]** you're saying.

**[10:57]** >> Okay. And is it is it just you

**[10:59]** developing it?

**[10:59]** >> Yeah, that's our

**[11:00]** >> Yeah, we're we're the only people on the

**[11:02]** team. I'm like I have a research

**[11:03]** >> obviously she's she's useless.

**[11:06]** [laughter]

**[11:07]** >> Oh, I see. There you go. Okay.

**[11:10]** All right.

**[11:12]** And what uh what background do they

**[11:13]** have?

**[11:14]** >> We finished our freshman year at

**[11:16]** Stanford.

**[11:17]** >> I see. And were you physics and she

**[11:19]** business?

**[11:20]** >> Uh no, we're both computer science.

**[11:21]** Well, she's technical guys. She's She

**[11:23]** knows how to code.

**[11:25]** >> Why are you standing up? Who are you?

**[11:29]** >> Hello. How are you guys doing?

**[11:32]** >> Yes. Yes.

**[11:34]** >> My name is Uproot. I'm building Chaotic

**[11:36]** Harmony Labs.

**[11:37]** >> Chaotic Harmony Labs.

**[11:39]** >> Yes.

**[11:39]** >> It's pretty metal.

**[11:41]** >> Thanks. I want to change everything

**[11:42]** about how humans empathize and

**[11:45]** communicate with each other.

**[11:46]** >> Oh, nice. You want them to do it worse?

**[11:49]** >> Are you looking for more empathy or less

**[11:50]** empathy?

**[11:51]** >> More empathy. Less polarization.

**[11:53]** >> How how are you doing it?

**[11:54]** >> So, uh the first step is a decentralized

**[11:56]** social media.

**[11:57]** >> No, [laughter]

**[12:00]** not

**[12:03]** crypto, not web three.

**[12:05]** >> The the path of more empathy is

**[12:06]** obviously on the blockchain. Yeah.

**[12:08]** >> No, I swear it's not on the blockchain.

**[12:11]** >> Decentralized. Where is it?

**[12:12]** >> It's on blue skies at protocol.

**[12:16]** >> Okay. Yeah.

**[12:16]** >> And and how are you making people more

**[12:18]** empathetic? So the goal is that um well

**[12:21]** basically like how

**[12:22]** >> basically [laughter]

**[12:24]** >> how how a social media algorithm works

**[12:26]** is like your profile and uh different

**[12:29]** items are in a space and the space like

**[12:33]** >> what are you saying?

**[12:34]** >> you like there are different people like

**[12:36]** moving around in this space like

**[12:38]** interacting with posts and we can bring

**[12:40]** them together by doing principal

**[12:43]** component analysis.

**[12:44]** >> How does that materialize in like a

**[12:46]** social media context? Basically like

**[12:48]** >> you're talking about like it's in space

**[12:50]** like space and stuff.

**[12:51]** >> I don't exist in that plane, brother.

**[12:53]** >> In a social media context, you can

**[12:55]** visualize the clusters of content that

**[12:58]** you're most shown and you can also like

**[13:02]** you can basically visualize your echo

**[13:03]** chamber.

**[13:04]** >> How is how's different? It's just

**[13:05]** everything all at once or like what are

**[13:07]** you saying?

**[13:07]** >> No, like you'll be able to just like see

**[13:10]** like clusters.

**[13:11]** >> Bro, are you tripping right now, bro?

**[13:13]** I'm trying to see what you're seeing. I

**[13:15]** can't see it. He's like on right now.

**[13:18]** >> I have a demo. I have a demo. Like if

**[13:20]** you want to pull.

**[13:20]** >> No. We want We want your words. We want

**[13:22]** you to explain it.

**[13:23]** >> It'll be dumb. All right. It'll be

**[13:24]** silly.

**[13:25]** >> Yeah. With the hand.

**[13:25]** >> Get your hand back up there.

**[13:26]** >> Yeah.

**[13:27]** >> All right. Well,

**[13:27]** >> you were close. You almost explained it.

**[13:30]** >> I almost saw you like actually grab, I

**[13:32]** almost saw something appear.

**[13:33]** >> He was grabbing something.

**[13:34]** >> Well, let's let's let's just let's uh

**[13:35]** let's act it out, right? So, we're in

**[13:37]** the space of social media.

**[13:40]** >> We're looking, I'm looking at our

**[13:41]** clusters of content.

**[13:42]** >> Okay. What do I do now? Okay. How can

**[13:46]** you bring us together? Cuz we're lonely.

**[13:48]** We're lonely. We haven't experienced

**[13:49]** empathy in years. [laughter]

**[13:51]** >> Perhaps please.

**[13:53]** >> Principal component analysis.

**[13:56]** >> I need component analysis. I'm going to

**[13:59]** [ __ ] punch this guy. [laughter]

**[14:02]** >> How do you get us closer,

**[14:03]** >> dude? This is what people need.

**[14:04]** Component analysis.

**[14:06]** >> I think that's what everyone

**[14:07]** >> What does that mean? What is this?

**[14:08]** >> Bring everyone together.

**[14:10]** >> Basically, like

**[14:11]** >> basically,

**[14:12]** >> you got this.

**[14:12]** >> Uh,

**[14:13]** >> you're so close. You're so close.

**[14:15]** >> You can speak.

**[14:16]** >> Okay. Start with a basic.

**[14:17]** >> Let's get some inspirational music. He's

**[14:18]** got music.

**[14:19]** >> Okay. Look,

**[14:20]** >> we can show people their perspectives

**[14:22]** and their echo chambers and their

**[14:24]** biases.

**[14:25]** >> Hell yeah.

**[14:26]** >> So, by showing them

**[14:29]** what the algorithm is biased to show

**[14:31]** them, we can also show them what's

**[14:34]** outside their perspective.

**[14:35]** >> Yeah. Out of the comfort zone.

**[14:37]** >> Yes. And like we can move them closer

**[14:42]** towards scientifically accurate.

**[14:44]** >> Hell yeah.

**[14:45]** >> Like news and information

**[14:49]** >> because Yeah.

**[14:51]** >> Oh yes.

**[14:52]** >> Because what happens when you step out

**[14:54]** of your comfort zone?

**[14:56]** >> What happens?

**[14:57]** >> Your algorithm will show a southern guy a

**[14:58]** gay guy.

**[14:59]** >> Huh?

**[15:00]** >> Right.

**[15:00]** >> What? Sorry.

**[15:01]** >> I don't know.

**[15:02]** >> You'll be showing a southern guy a gay

**[15:04]** guy.

**[15:08]** Yeah. Yeah. Sure. We can Yeah. Yeah. We

**[15:11]** can connect them. Yeah, we can connect

**[15:12]** them.

**[15:12]** >> No, because of your empathy.

**[15:14]** >> Yeah. Like to break the biases of

**[15:16]** people. You'll be showing them stuff

**[15:17]** that the algorithm usually doesn't show

**[15:18]** them.

**[15:19]** >> Are you just saying pedophile and adult?

**[15:21]** >> Yeah.

**[15:24]** >> Not exactly.

**[15:26]** >> You'll connect this child with that

**[15:28]** [laughter]

**[15:28]** creep.

**[15:29]** >> You'd be showing her an equitable

**[15:31]** partnership. [laughter] Yeah.

**[15:33]** >> Wait, so you're you're just showing

**[15:35]** people stuff they don't want to see.

**[15:37]** >> Well, okay. That's that's one argument,

**[15:39]** right? Okay. One

**[15:41]** >> you stopped showing that guy dumplings.

**[15:43]** [laughter]

**[15:44]** >> Actually, I think you're right. I think

**[15:46]** this guy just tried to develop a

**[15:47]** suggestion algorithm and it turned out

**[15:49]** so bad. You found a framing

**[15:51]** >> that it's an anti-suggestion.

**[15:53]** >> So, you show people what they don't want

**[15:55]** to see.

**[15:56]** >> Well, okay. So, that's to make them

**[15:57]** empathetic. Well, we we give them more

**[16:00]** control instead of doom scrolling and

**[16:01]** getting the next like dopamine hit.

**[16:03]** >> You put your phone down cuz it sucks

**[16:04]** what whatever you're showing.

**[16:06]** >> So [laughter] bad. You're like, "This is

**[16:06]** terrible."

**[16:07]** >> You could do that. You could also uh tap

**[16:10]** select a topic or type a topic and then

**[16:13]** swipe. Semantic swiping. So you you can

**[16:16]** you can

**[16:16]** >> semantic swiping.

**[16:18]** >> How complicated is it?

**[16:19]** >> Just because you do doesn't mean

**[16:20]** semantic swiping makes sense.

**[16:22]** >> Well, how does one semantically swipe?

**[16:24]** >> This is regular swiping.

**[16:26]** >> Yes.

**[16:26]** >> This is semantic swiping. Okay,

**[16:28]** >> that is not an intuitive gesture.

**[16:30]** >> And and this is a fingering a lady.

**[16:32]** >> Wa.

**[16:33]** >> And this is semantic swiping. And that's

**[16:35]** fingering a lady.

**[16:37]** >> Hey,

**[16:39]** >> this could be fingering anyone.

**[16:41]** >> That's your biases.

**[16:42]** >> Show me something quick. Show [laughter]

**[16:43]** me something. Do something else. That

**[16:44]** was a bias, Jesse.

**[16:46]** >> You could finger anyone.

**[16:48]** >> I I will not finger anyone. I can say

**[16:50]** that.

**[16:51]** >> No. Inspirational music, please.

**[16:54]** >> Wait, is that like a principled stance?

**[16:57]** Please.

**[16:58]** >> No. No. Like,

**[16:59]** >> no. Why? Explain why you won't

**[17:00]** >> explain what you just said.

**[17:01]** >> He will not finger anybody. This is just

**[17:04]** campaign promise.

**[17:05]** >> I will not finger just anybody.

**[17:12]** [laughter]

**[17:12]** >> All right. Give me for this guy.

**[17:16]** >> Total comp. Go.

**[17:28]** >> [music]

**[17:29]** >> Lowest on this end. Lowest over here.

**[17:32]** Highest over there. [music]

**[17:39]** Okay.

**[17:43]** Okay. Total comp. Go. It's currently

**[17:47]** zero.

**[17:49]** I feel like your total comp is like 20

**[17:51]** silver [laughter]

**[17:55]** >> gold the balloons.

**[17:57]** >> How much?

**[17:58]** >> Uh $200 stipend.

**[18:01]** >> How frequently?

**[18:02]** >> Once a month.

**[18:03]** >> Yeah.

**[18:04]** >> Okay.

**[18:05]** >> Total comp?

**[18:06]** >> Zero.

**[18:07]** >> Okay. Bubble sword.

**[18:10]** >> On a technicality, don't get too

**[18:12]** excited. Total comp

**[18:13]** >> 40k.

**[18:15]** >> Total comp

**[18:16]** >> 150. Total comp

**[18:19]** >> 150.

**[18:19]** >> Total comp

**[18:21]** >> 240 or something.

**[18:22]** >> Total comp

**[18:23]** >> 150.

**[18:24]** >> Total comp

**[18:26]** >> 650.

**[18:26]** >> 650. Okay. Awesome.

**[18:33]** >> Okay. That's a nice lineup. Now, what we

**[18:37]** are going to do next is we're going to

**[18:39]** speak to each of them one by one in

**[18:41]** order to determine the most human among

**[18:44]** you.

**[18:44]** >> All right. All right, let's talk to the

**[18:45]** guy who looks like he's about to summon

**[18:46]** a falcon.

**[18:49]** >> Eagle. Bro, you look like you're about

**[18:50]** to summon an eagle and then it's going

**[18:52]** to take you away. I [laughter] pray.

**[18:54]** >> Uh, introduce yourself. What brought you

**[18:56]** on stage?

**[18:57]** >> Uh, I'm Alex and the call the uh

**[18:59]** question that brought me on stage was um

**[19:01]** if I was looking for a job.

**[19:02]** >> Okay. And you're like a dexterity and

**[19:04]** charisma build.

**[19:06]** >> Uh, yeah, something like that. Yeah.

**[19:08]** >> Okay.

**[19:08]** You look like a field mouse who wished

**[19:09]** he was a real boy. [laughter]

**[19:12]** >> May I ask about your pouch? for my

**[19:14]** pouch.

**[19:15]** I've been meaning to ask about that

**[19:17]** pouch of yours. [laughter]

**[19:18]** >> It's for the sun.

**[19:18]** >> That pouch is just dangling.

**[19:19]** >> It's for the sunglasses just in case you

**[19:21]** need to whip them out.

**[19:23]** >> Yeah. Yeah, exactly. Yeah.

**[19:24]** >> Okay.

**[19:25]** >> What? Okay. Okay. Go ahead. Um, pitch

**[19:27]** yourself. Why should somebody hire you?

**[19:29]** >> Uh,

**[19:30]** I'm cool and I do good engineering

**[19:34]** work.

**[19:36]** >> I actually kind of believe in

**[19:37]** I believe [laughter] Yeah.

**[19:38]** >> And I'm very believable and trustworthy.

**[19:40]** Could you imagine hiring Theon from Game

**[19:42]** of Thrones to be a software engineer?

**[19:44]** [laughter]

**[19:45]** >> Uh, what makes you a good employee?

**[19:47]** >> Um,

**[19:50]** [laughter]

**[19:52]** bro, you're like the joke. What is

**[19:54]** happening?

**[19:54]** >> What the [ __ ] are you spazzing out?

**[19:56]** Wait. Okay. I don't

**[19:57]** >> I think he's crying right now. He's like

**[19:58]** Joaquin Phoenix Joker.

**[19:59]** >> I'm okay not knowing about your

**[20:01]** technical skills. I just want to know

**[20:02]** about you kind of like you're kind of

**[20:04]** interesting. So, what do you do for fun?

**[20:05]** >> Um, I go thrifting for fun.

**[20:07]** >> You go thrifting?

**[20:08]** >> Yeah.

**[20:08]** >> Yeah. Did you thrift this?

**[20:10]** >> Um, yes.

**[20:11]** >> Oh, I thought you took it off a dead

**[20:13]** bandit.

**[20:13]** >> Uh, [laughter]

**[20:16]** yeah.

**[20:17]** >> I can't. I can't. I can't. I can't. I

**[20:19]** actually I actually pal.

**[20:22]** [laughter]

**[20:26]** >> Oh, I can't, dude. I didn't even clock.

**[20:28]** >> All right, pouch man. Get back there,

**[20:30]** >> little pouch boy.

**[20:32]** >> Is it cool that he works at Robin Hood

**[20:34]** and he looks like he works for Robin

**[20:35]** Hood? [laughter] The guy.

**[20:40]** You're one of the merry men. [laughter]

**[20:43]** >> Have you ever seen this guy before

**[20:44]** there?

**[20:44]** >> Yeah. Do you know what this is all

**[20:46]** about?

**[20:46]** >> I've probably seen him on a trail.

**[20:49]** >> Yeah, [laughter] probably.

**[20:53]** >> Please,

**[20:56]** please. You seem like a good guy.

**[20:58]** >> I I'm Drew and I'm just scared. Uh I

**[21:01]** don't I don't know what's going on.

**[21:02]** That's why I'm up here.

**[21:03]** >> Okay. Tell us about it. What you're

**[21:06]** wearing a Is that a Robin Hood hat? Yes,

**[21:08]** it is a Robin Hood hat. Yeah,

**[21:09]** >> but you're not but you're not in tech.

**[21:12]** >> I'm just I'm in HR, you know. I'm just

**[21:16]** I'm just doing it. Uh I don't know. I

**[21:18]** was [laughter]

**[21:19]** >> I was working in a sheet metal factory

**[21:21]** before this. I don't know how sheet

**[21:23]** metal factory.

**[21:24]** >> Yeah.

**[21:25]** >> And how did you find your way here?

**[21:26]** >> Um I just I just clicked on a link. Like

**[21:29]** that's how I

**[21:31]** >> I guess looking for um children camps

**[21:33]** near you. [laughter]

**[21:35]** You look like the last bluecollar worker

**[21:37]** in San Francisco.

**[21:40]** >> I'm not really blue collar, but I I

**[21:42]** appreciate it.

**[21:43]** >> I don't know. [laughter] I like working

**[21:45]** with my hands.

**[21:46]** >> Yeah. What do you He likes working with

**[21:48]** his hands.

**[21:48]** >> Yeah. What do you What do you like to do

**[21:49]** with your hands?

**[21:50]** >> They're communicating.

**[21:50]** >> Calm down. Calm down right now. Calm

**[21:52]** down. Calm [laughter] down.

**[21:53]** >> I like to I like to garden

**[21:56]** is is really what what I want to be

**[21:58]** doing. So farmer. Yeah. Yeah. I'm a

**[21:59]** farmer. Um I'm I'm growing tomato plants

**[22:02]** right now. Do they have Do they have a

**[22:03]** quest for this guy? [laughter]

**[22:06]** >> I'll be there in 5 years,

**[22:08]** dude. He just switched the location of

**[22:10]** his guard. [laughter]

**[22:11]** >> What? Um, what's your relationship to

**[22:14]** tech?

**[22:14]** >> Uh, my relationship to tech is this is

**[22:17]** my first What is he doing?

**[22:19]** >> Are you going out of bounds now, sir?

**[22:21]** What is happening?

**[22:22]** >> No, he's a [ __ ]

**[22:23]** >> He's just like walking out of bounds.

**[22:25]** >> Uh, yeah. This is just my first

**[22:27]** internship. Other than that, uh, I play

**[22:28]** on my phone, you know, that's tech, but

**[22:31]** that's that's my relationship. Yeah.

**[22:33]** >> Damn right it is. [laughter]

**[22:34]** >> Damn right it is.

**[22:37]** >> Cool.

**[22:38]** >> You're

**[22:41]** his relationship to tech is like plays

**[22:43]** on his phone. It's like

**[22:44]** >> I play on my phone, grow tomatoes.

**[22:47]** >> Introduce yourself. What brought you on

**[22:48]** stage?

**[22:49]** >> Hello. Uh, I'm Mon and I'm on stage

**[22:51]** because I love my job.

**[22:52]** >> You love your job. What do you do?

**[22:53]** >> I do love my job. Um, I work at Windborn

**[22:56]** Systems. We're a hardware company that

**[22:57]** makes

**[22:58]** >> you just slipped into an unskippable ad.

**[23:00]** >> Sorry.

**[23:01]** >> It's okay. You can you you can talk

**[23:03]** unnatural. What What What is What does

**[23:05]** the company do?

**[23:06]** >> We make We're a hardware company that

**[23:08]** makes weather balloons.

**[23:09]** Weather balloons.

**[23:10]** >> Yeah, weather balloons.

**[23:11]** >> Oh, that's how this guy finds children's

**[23:14]** summer camps.

**[23:15]** >> Yeah, it's true. He's a power user.

**[23:17]** [laughter]

**[23:18]** >> Why did we bring you up?

**[23:19]** >> Because I love my job.

**[23:20]** >> Oh, you love that.

**[23:21]** >> Wait, what about that? Do you love It

**[23:23]** sounded like you were like go through

**[23:25]** this? Oh, I love I love it. The thing

**[23:27]** about hardware is it's like software but

**[23:29]** like more work and less money. And I

**[23:31]** think that's really cool.

**[23:34]** >> More work and less money. A message for

**[23:37]** the people.

**[23:38]** >> Yeah.

**[23:38]** >> Do you do you think you're

**[23:40]** >> Okay.

**[23:41]** >> You complained about getting paid to

**[23:43]** hike. That's what most of these

**[23:46]** >> That's fair. Fair. Okay. Thank you. Do

**[23:48]** you have a gun for her? What's your

**[23:50]** name? What preschool do you date her at?

**[23:52]** >> Hello. Yes. Uh, my name is Valentina and

**[23:55]** I got called here because apparently I

**[23:58]** have good soft skills.

**[24:00]** >> Let's test that out immediately.

**[24:01]** >> Let's do it.

**[24:02]** >> Jesse is our coworker.

**[24:03]** >> Hello, Jessie.

**[24:03]** >> Just have a normal introduction.

**[24:06]** >> All right.

**[24:08]** >> Hi, Jesse. How you doing?

**[24:10]** >> Hey.

**[24:11]** >> Hi.

**[24:12]** >> Valentina,

**[24:13]** >> that's me.

**[24:16]** [laughter]

**[24:16]** >> So, what So, what was it like doing

**[24:18]** theater in high school?

**[24:21]** >> I don't know. Oh, maybe you could tell

**[24:22]** me a little about him.

**[24:25]** >> What?

**[24:27]** >> About your theater experience in high

**[24:29]** school?

**[24:29]** >> No, yours. Me, I did cooler stuff.

**[24:35]** >> Okay. Is this what you wanted to say to

**[24:37]** me when you came up or just like I was

**[24:39]** just congratulating you on the theater

**[24:40]** role and some lines. It was a big deal.

**[24:43]** No, I don't want to run lines in front

**[24:44]** of you cuz you said it was stupid.

**[24:47]** >> Sometimes it can be really rude. I'm

**[24:49]** working on it.

**[24:49]** >> Are you?

**[24:50]** >> I am. Really

**[24:51]** >> Not very good, but I am.

**[24:52]** >> Well, what are you doing to work on it?

**[24:54]** >> I'm I'm saying I'm working on it.

**[24:56]** >> All right. Okay. Uh, pause the scene

**[24:59]** here. I think we end the scene. Yeah.

**[25:01]** >> Yeah.

**[25:01]** >> That was uh really uncomfortable to

**[25:04]** watch. [laughter]

**[25:04]** >> That's great. That's what I'm going for.

**[25:06]** >> Deeply uncomfortable and disable.

**[25:08]** >> Exactly. Uh-huh. That's my brand.

**[25:10]** >> You're crushing it.

**[25:11]** >> What do you do? What do you do?

**[25:12]** >> I'm a software engineer.

**[25:14]** >> That makes sense. [clears throat]

**[25:14]** >> That makes sense. Checks out.

**[25:16]** >> Yep. Where?

**[25:17]** >> At Google.

**[25:18]** >> Okay. Product YouTube.

**[25:21]** >> Oh,

**[25:22]** >> [ __ ] We need that.

**[25:23]** >> And do you just [laughter]

**[25:24]** what what specifically do you do for

**[25:26]** YouTube? Are you just mostly like in

**[25:28]** charge of the YouTube comments because

**[25:30]** you have that vibe? [laughter]

**[25:32]** >> That's funny. Yes, I work in uh YouTube

**[25:35]** comments and post infrastructure.

**[25:37]** [laughter]

**[25:38]** >> That makes sense. The meanest person in

**[25:40]** the world is responsible for the comment

**[25:42]** section. Thank you. And where do you

**[25:45]** work?

**[25:46]** >> Some social media company.

**[25:47]** >> You know, you're not sure. [laughter]

**[25:49]** Well, probably if you if you make that

**[25:51]** much money. Meta too. Huh?

**[25:53]** >> Yeah. Good guess.

**[25:54]** >> Yeah, [laughter] she said meta.

**[25:55]** >> Oh, what do you do for them?

**[25:56]** >> I am an engineer. Mus.

**[25:59]** >> Engineer masseuse.

**[26:00]** >> Yeah,

**[26:00]** >> Actually.

**[26:01]** >> Wait, what?

**[26:02]** >> AK aka PM.

**[26:04]** >> Oh, you massage engineers into doing

**[26:06]** work. Dude, I thought this was one of

**[26:08]** those cool stories where that like girl

**[26:10]** got a job at Google and now she's like a

**[26:11]** trillionaire cuz she massaged people

**[26:13]** like early on.

**[26:14]** >> I think you have an incoming call.

**[26:16]** Somebody wants to talk to you.

**[26:18]** >> Oh, yeah. Yeah. Oh, hi there. [laughter]

**[26:22]** Ooh, my tricep is so sore. [laughter]

**[26:26]** Coding all day, jiujitsuing all night.

**[26:30]** Oh, how I need a massage and some code.

**[26:34]** [laughter]

**[26:35]** >> Um,

**[26:35]** >> okay. So, you work on the recommendation

**[26:37]** engine for Instagram.

**[26:38]** >> Okay. Do you think you could push the

**[26:40]** button for us?

**[26:41]** >> Yeah. Hook it up.

**[26:42]** >> Push the button. The the explode page

**[26:44]** button. Just a little bit of a

**[26:46]** >> Yeah, a little

**[26:47]** >> just a little

**[26:51]** just like a slight

**[26:54]** engine.

**[26:56]** [laughter]

**[26:57]** >> Okay.

**[26:57]** >> Um, my name is Kavia Menon and the

**[27:00]** prompt was if I have a Hinge profile and

**[27:03]** if they're specifically tech pros.

**[27:05]** >> I think you're really Look, you have a

**[27:06]** good job. Headspace. I used it like 10

**[27:08]** years ago. It used to be cool.

**[27:11]** >> Yeah. Yeah, they're still cool.

**[27:15]** Yeah, they are still cool.

**[27:16]** >> You're really making me feel worse.

**[27:20]** >> I'm going to play your favorite guided

**[27:22]** meditation.

**[27:23]** >> All right, now just close your eyes.

**[27:27]** [laughter]

**[27:28]** >> And remember, I'm from Australia.

**[27:31]** >> Unskippable ad starting in 3 2 1.

**[27:35]** >> Tired of being anxious about the

**[27:37]** horrible state of world affairs?

**[27:41]** >> And close your eyes. [laughter]

**[27:44]** Can I stop this?

**[27:45]** >> No.

**[27:46]** >> All right. All right. Give me a Kavia.

**[27:49]** >> So, uh I um

**[27:52]** >> I'm at a kids camp.

**[27:54]** >> Are you a kid or are you the pedophile?

**[27:55]** >> I'm a counselor.

**[27:56]** >> Okay. Got it.

**[27:57]** >> And there's this guy that keeps throwing

**[28:00]** up. Okay. Okay. Let's get the music

**[28:02]** going.

**[28:04]** >> Oh god. Oh [ __ ]

**[28:07]** >> All right, Drew. Console your buddy

**[28:08]** Nikita.

**[28:09]** >> Nikita, I heard about this guy.

**[28:11]** >> Yeah. What's What's going on with the

**[28:13]** guy?

**[28:15]** >> Hey, man. [laughter]

**[28:16]** >> Hey,

**[28:17]** >> you heard about it? That's bad. That's

**[28:19]** bad. How did the word get out?

**[28:21]** >> Word's getting around town. You know

**[28:25]** >> that guy talking? Because this is bad.

**[28:28]** When the parents find out about this,

**[28:29]** this is bad. Okay, so we tried

**[28:32]** everything.

**[28:34]** >> He was everything. [laughter]

**[28:36]** >> [ __ ] everything. We tried putting up

**[28:39]** a fence around. We pretended like it was

**[28:41]** like a fun exercise.

**[28:43]** We got the kids. Okay.

**[28:46]** So, we got the kids to get some wooden

**[28:48]** stakes. We're like, "Okay, we're going

**[28:50]** to learning,

**[28:52]** but then we put up like a perimeter and

**[28:54]** then we got the kids to patrol and

**[28:56]** everything, but he just keeps [ __ ]

**[28:58]** showing up. Has anybody talked to him?

**[29:02]** Are we just always putting up obstacles,

**[29:04]** you know? Have we have we have we

**[29:06]** understood this guy? What What is he

**[29:09]** here? Like maybe he's trying to get his

**[29:11]** kid into the camp. Who knows? Have we

**[29:13]** talked?

**[29:13]** >> Huh? He did have some kids with him.

**[29:16]** >> Oh, okay. Was it like the same ones or

**[29:19]** like [laughter]

**[29:24]** is that the guy?

**[29:26]** >> I think that's the guy. I mean,

**[29:29]** >> oh no.

**[29:30]** >> Well, uh,

**[29:31]** >> see that's two more gone.

**[29:35]** That's seven kids this week.

**[29:38]** Like at this point, maybe we can work

**[29:39]** out some sort of a deal.

**[29:42]** So, are you telling Whoa, whoa,

**[29:45]** [laughter]

**[29:46]** >> I like this.

**[29:50]** >> Hey, man.

**[29:53]** >> I'm so sad.

**[29:54]** >> Yeah. [laughter]

**[29:55]** >> Yeah, I know. It's okay.

**[29:57]** >> It's all right.

**[29:58]** >> My dad went to Berkeley.

**[29:59]** >> The elf for my video game. [laughter]

**[30:03]** >> How did you

**[30:04]** >> I'm just, I'm dreaming. I'm here to

**[30:06]** console you.

**[30:08]** >> This is amazing. Whoa, you're real.

**[30:10]** >> Yeah. I'm here to distract you from your

**[30:12]** loss of future potential.

**[30:16]** >> Ah, that's right.

**[30:17]** >> I know.

**[30:18]** >> I'm going to stupid Cal. Everything

**[30:20]** sucks now.

**[30:21]** >> I always wanted to go to Stanford.

**[30:23]** >> I know. Everyone does.

**[30:26]** >> Um, I just want to be distracted. I want

**[30:28]** to like go on a quest or something.

**[30:30]** >> Yeah. Dude, I've got an idea.

**[30:34]** >> Yeah. Can we go somewhere?

**[30:36]** >> Exclamation point.

**[30:37]** >> Whoa, whoa, [laughter] whoa. I heard

**[30:40]** about this kids camp.

**[30:42]** >> No,

**[30:44]** it's a fun adventure place.

**[30:47]** Nice.