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The real reason they keep saying AI will take your job

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0:00

There is a cancer spreading right now,

0:02

and it is called the token budget. And

0:04

make no mistake, this is one of the most

0:06

dystopian, deranged things to ever come

0:08

out of Silicon Valley. And that's saying

0:10

a lot. First, I want to talk about my

0:12

guy Dario Amodei, the guy who I am

0:15

convinced has a dashboard in his office

0:17

where every time a 22-year-old gets a

0:19

job, an alarm goes off, and he runs out

0:22

and grabs the nearest intern and smacks

0:24

him across the face and goes, "Hey guys,

0:25

what the Like, how did this person

0:27

get this job? I want zero humans

0:29

employed." That's their OKR, man. Like,

0:31

these people do not want to see humans

0:32

employed. They want to see their AIs

0:34

employed instead. Dario's constantly

0:37

going on the news talking about how

0:38

humans are going to be jobless because

0:41

that's the best marketing pitch you can

0:42

possibly imagine. And what this does, in

0:44

effect, is it lowers the price of labor

0:47

because it terrifies the laborers. It

0:48

says, "Hey, you're not even going to

0:49

have a job in 3 years. So, take whatever

0:51

pay you can get now. Hold on your job

0:54

because there ain't another one coming."

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It spooks the labor into accepting lower

0:58

wages. And meanwhile, that creates room

0:59

for these corporations to take the

1:01

savings and spend it on Anthropic. So,

1:03

every time someone loses their job,

1:05

Anthropic makes a little money. So, the

1:08

whole ecosystem really enjoys this

1:10

narrative that AI is working. But, the

1:12

truth is, on the inside, AI is not

1:14

working for anyone. But, these companies

1:16

have to pretend it's working because it

1:18

creates leverage and it creates a good

1:20

investor narrative that they're

1:22

forward-moving and technology-adopting.

1:25

Now, the question is, what do we do

1:27

about this? For starters, I think we

1:29

need more people to speak the truth.

1:31

Like, talk about if AI is working in

1:33

your company or not. Spill the beans.

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Come on like YouTube. Come on TikTok.

1:37

Talk about how your company is using AI.

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Talk about what's not working. We need

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more stories because right now, the bull

1:43

story is just so goddamn good for the

1:45

capitalists. And the workers are sitting

1:47

here without a cause, like without a

1:48

unified story, without a front, just

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panicking. And look, I'm not an

1:52

anti-capitalist. Like, I'm sorry, I'm

1:53

not. I'm not some lefty warrior. But,

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this AI thing just hits way too close to

1:57

home for me. The truth is, you're way

1:59

more valuable than these AIs. It's not

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even close. In fact, your salary should

2:03

double. Like, that's how useful you are.

2:05

But, instead, the capitalists are

2:07

playing this to the team, man. Like,

2:08

doing a great job of spooking you into

2:10

accepting less pay or at the very least,

2:12

making sure you don't negotiate a raise.

2:14

Like, God forbid. Imagine you go ask for

2:16

a raise right now. They'd be like,

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"Dude, are you kidding me? You know AI

2:19

could do your job, right?" And you'd be

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like, "Oh I'll take a 20% pay cut.

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Please don't fire me." That's what's

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happening. So, back to the original

2:25

story, token budgets. Facebook has a

2:27

token leaderboard where you have to be

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constantly producing slop at a

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ridiculous pace and make sure you're

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burning enough of the company's money.

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Otherwise, it seems like you're not

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being productive. And this is crazy

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because there's an inverse relationship

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between being on top of that leaderboard

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and the quality of your work and how

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much code you're actually able to

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review. The number one person on that

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board is reviewing zero code. Like, zero

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code. This is a completely dystopian

2:53

thing. It's an employer's wet dream.

2:56

They're like, "Finally, we have a way to

2:57

track these people. We tried using lines

2:59

of code before, but the nerds told us

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that less lines of code is better. So,

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we couldn't use that. We tried

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monitoring their screens, but you know,

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that's not going to go over well. But

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now, there's a perfect proxy that spins

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a great narrative, like a good investor

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image, but also completely keeps the

3:14

employees in check. This is worse than

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anything going on in China, man. Like, I

3:17

don't know what narratives we're

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spinning about how miserable and

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dystopian China is.

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But, you're telling me this is happening

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in Silicon Valley? That there's a token

3:27

budget? A slop budget? Like, are you

3:29

kidding me? This thing is not making

3:31

people more productive, man. It's just

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creating a second job for them. Like,

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congratulations, dude. You have a second

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job and you're being paid less. AI came

3:39

and increased our workload. Like, how

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the did that happen? They told us

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we were never going to have to work

3:43

again, and now we're going to have to

3:45

work like double time to clean all this

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up. You have Nvidia's Jensen

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talking about how if you're not spending

3:51

$250,000

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per year per employee on tokens, you're

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not being productive. What it'll take is

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for people to be honest about what's

3:58

happening. That's the only way. People

4:00

need to come out and say it. There's a

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couple like Dax, the founder of Open

4:04

Code, who tweeted that a lot of people

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are saying that AI is making them more

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productive while we're sitting here

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going, "Dude, we don't know how to use

4:12

this. Like, we don't know how to make

4:13

this work in our company." So, you're

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telling me this nimble-ass startup can't

4:16

figure it out and you think these

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Fortune 500 companies are figuring out

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how to use AI? Like, with their 80,000

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employees across 40 time zones? They

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have no idea. Artificial

4:25

intelligence, my ass, dude. Like, this

4:27

is like an insanely unreliable

4:29

auto-complete that is extremely

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imprecise. And the more precision you

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need, the less useful AI is. That is a

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fundamental law. We need to call it the

4:38

Bittar lesson. It's a pun on the the

4:40

bitter lesson. The Bittar lesson is that

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the more precise you need to be, the

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less useful AI is. Just It's just a

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fundamental law. It'll never change

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because LLMs approximate language and

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language approximates intent,

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and then this approximation is used to

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approximate like code or arts or emails.

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There's just an infinite wall between

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the thing you want and what AI can

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actually do. You can guide it and guide

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it, but it never reaches. It never makes

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contact. You get 80% there and it stops.

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It's like an 80/20 thing. It can do 80%

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of the work. That's great. But, the 80%

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was always the easy part. The last 20%

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is still human work. The people

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insisting on slop budgets, they're going

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to lose. Meanwhile, the people focusing

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on keeping it slow, focusing on quality,

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focusing on what the customers actually

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want, that's the hard part. The AI is

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not going to help you with that. In

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fact, AI will mislead you if you rely on

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it too much. Honestly, when I first

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changed my mind about AI earlier in the

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year, I thought that soon all of these

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sort of negative, honest sentiments I

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was giving would start to get outdated

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very quickly and I would soon look like

5:47

a fool against the constant advancements

5:49

in AI. But, what I'm actually finding

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instead is that these takes are just

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becoming more and more accurate over

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time and more people are waking up to

5:58

this.

5:59

Thanks for watching.

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