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Maybe we were wrong

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Maybe we were wrong

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394 segments

0:00

The last couple years of being a

0:01

developer has been uh you know I guess

0:04

kind of interesting, right fellas? I

0:06

actually have some good news here. Okay,

0:09

things have been changing. Some whispers

0:11

have been having and new news is hitting

0:13

the front lines. It turns out being a

0:15

software developer might actually be

0:17

well, it might actually be pretty dang

0:18

awesome. Now, if you haven't been in the

0:20

software development realm for the last

0:22

3 years, let me do a quick recap for

0:24

you. First off, you shouldn't teach your

0:26

kids to code because honestly, you

0:28

should let AI do that, says AI salesman

0:31

number one.

0:31

>> You said AI could wipe out half of all

0:34

entry-level white collar jobs and spike

0:36

unemployment to 10 to 20% in the next 1

0:38

to 5 years.

0:40

>> Yes.

0:40

>> And of course, Daario here always just

0:42

giving it to you straight. By the way,

0:43

look at how happy he is. He is answering

0:46

this question with such elacrity. He has

0:49

never been more excited to tell you you

0:51

are about to lose your job than I've

0:54

seen any man on earth. This guy loves

0:56

firing people. He loves firing people,

0:57

not even from his own company. And if

0:59

that's not enough for you, of course,

1:01

last year we had Sam Alman, Sam

1:03

Jippidity Alman just dropping the Death

1:05

Star the day before big product

1:07

announcements just letting everybody

1:09

know, hey, what we're about to do, it's

1:11

pretty big. Now, of course, this is a

1:12

very confusing message. Is he saying

1:14

he's the bad guys? Is is that what he's

1:16

saying? is does he release the Death

1:17

Star? I'm still confused to this day.

1:19

Like this post actually eats like it's

1:21

an earworm. Okay, it eats me from the

1:23

inside. Like what the hell happened

1:24

here? Why why why would you post this?

1:27

But the thing I wanted to talk about

1:28

this this turning point that's happening

1:30

is this right here. Look at this. Justin

1:32

Sam Alman says AI probably won't trigger

1:35

the job apocalypse he once predicted.

1:38

Not only that, but Uber COO now says,

1:40

"Hey, when you're spending a whole bunch

1:42

of tokens, honestly, can't really tie it

1:46

to features." So, there's something just

1:48

kind of happening in our world. So,

1:50

maybe some news realizing how important

1:52

it is to have competent and good

1:54

developers. It's like the timeline is

1:56

almost kind of oddly healing in a way.

1:58

So, we of course we absolutely have to

2:00

go over this. I got a lot of Yeah, okay.

2:03

The vindication gap is going to land on

2:05

this video. But more importantly, I want

2:07

to do a quick thank you to the sponsors.

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2:32

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2:43

>> Okay, first let's talk about Sammy Jippy

2:45

Alman right here saying, "Hey, maybe he

2:47

was wrong." Here's kind of exactly what

2:49

he said. This, of course, is from a

2:50

Commonwealth Bank of Australia

2:53

conference in Sydney just last Tuesday.

2:56

It says this, "I don't think we're going

2:57

to have the kind of jobs apocalypse that

2:59

some of the companies in our space

3:01

advocate or talk about." By the way, I

3:03

love the fact that he says advocate.

3:05

Like, there's actual companies in his

3:07

space advocating for everybody to lose

3:08

their jobs. You know who we're talking

3:10

about, okay? You know who Sammy boy is

3:11

talking about. He's not talking about,

3:13

you know, minstal AI. The bro's talking

3:15

about Anthropic. He's just like, "Yo,

3:17

Anthropic,

3:19

they really want you to lose the jobs

3:21

here." M it could also be to be fair

3:24

this could also be some sort of jab at

3:25

Musk as well. I can't really tell but

3:27

either way very hilarious. I thought

3:29

there was going to be more impact on

3:30

entrylevel white collar jobs being

3:32

eliminated by now than has actually

3:34

happened. I now think I understand more

3:37

about why it hasn't and I'm obviously

3:40

grateful. But that is an area where my

3:42

intuitions were just off. We really do

3:45

care about our interactions with people,

3:47

he added, which he said, for better or

3:49

for worse. Updated me to thinking that

3:52

the jobs picture is likely going to be

3:54

very different than we thought. Okay.

3:56

Whoopsie. Turns out maybe people like to

3:59

talk to people and interact with people

4:00

and building great products. Actually,

4:02

turns out it just might take people.

4:03

Might take people to do that. Huh.

4:05

Crazy. I I just thought we were going to

4:08

get metered intelligence. I thought I

4:10

thought you stole the internet, took

4:12

everything, compressed it down into the

4:14

sweet next token prediction, and then

4:15

sell us back to us, and then we pay for

4:17

it. And it's just like that, and that's

4:18

how the world works. Of course, Sam's

4:20

actually not the only one. Goldman Sachs

4:22

CEO David M. Solomon says that AI won't

4:24

eliminate 25% of the jobs. He's just

4:27

saying, "Hey, it turns out people spend

4:29

their time in more productive ways." And

4:31

he makes some cases down here saying,

4:32

"Hey, did like any other technology ever

4:35

do this? And what we're observing is not

4:36

true in the data." So, this is actually

4:38

kind of a positive development. I'm

4:39

actually pretty excited about this. I

4:41

would love to see things actually

4:43

healing from this craze where you have

4:45

all these CEOs that have been told for

4:47

the last two years of these companies

4:49

like, "No, bro. Bro, I'm just letting

4:51

you know you got to just like, dude,

4:52

just like fire everybody. You don't need

4:54

them because you got AIS, dude. You got

4:56

Open Claw. Open Claw is going to do

4:58

everything. You just say, "Yo,

5:00

million-dollar sass. No mistakes." And

5:02

bam, in just a few minutes, crunching

5:05

some claw four points. Actually, 4.6.

5:07

4.7 is kind of trash. We all think it's

5:09

trash. Okay. 4.6. 4.6. And boom, you're

5:11

going to have yourself a million dollar

5:13

SAS. I am so happy that this is starting

5:16

to crumble because this is something

5:17

that has needed to crumble now for a

5:19

while because it is ridiculous. There is

5:21

so many people right now that at their

5:24

jobs are being forced to to like a

5:26

certain level of AI output. And if they

5:28

don't make it, they're like heads on the

5:30

chopping block. Even if it's not a good

5:32

idea. Like they don't even get the

5:34

option of going, "Hey, is this good or

5:36

bad?" It's like, no, use it or that's

5:38

bad. Like, if you don't use it, that's

5:39

bad. It's like, well, maybe it's not

5:41

always the best thing. And where this is

5:42

really starting to show is this right

5:43

here. This the Uber COO saying that

5:46

heavy AI spend is actually getting

5:48

harder to justify as higher token usage

5:50

fails to show clear payoff in consumer

5:53

features. Now, this of course is a

5:55

headlining item. So, let's actually

5:57

watch the video as opposed to, you know,

6:00

seeing what Twitter has to say. Let's

6:01

let's look at the actual video. Let's

6:03

hear what he has to say. I know, novel

6:05

concept, right?

6:06

>> You make your head explode, right? When

6:08

you hear companies talking about, hey,

6:10

25% of code commits uh over the last

6:13

quarter were AI driven um or you know

6:19

our token usage went from X to Y or

6:22

percentage of employees, you know, all

6:23

all these sort of numbers. Um, and it's

6:26

amazing and I think it's like this

6:29

massive transformation of society, but

6:31

then you sometimes go and you talk to

6:33

your senior engineering leaders and

6:35

you're saying, okay, how many projects

6:36

that were on the cutting room floor got

6:38

moved above the line because of the, you

6:41

know, productivity gains because 25% of

6:43

our code commits were via cloud code

6:45

last last quarter.

6:48

That link is not there yet, right? like

6:51

you're not I mean I think maybe

6:54

implicitly there there's more that is

6:56

getting shipped but it's it's it's very

6:59

hard to draw a line between one of those

7:01

stats and okay now we're actually

7:03

producing like 25%

7:06

more useful consumer features

7:07

>> and this is the COO of Uber like this

7:10

guy has fully committed to this AI kind

7:13

of adventure in fact they spent within

7:16

the first four months their operating

7:17

year budget for AI like these people

7:20

were committed and now after all this

7:22

are like, "Okay, wait, wait, wait, wait,

7:23

wait, wait. Maybe not everything that

7:25

glitters is gold. Perhaps there are some

7:28

things that we don't really see these

7:29

implicit features that he was talking

7:31

about. Maybe there's more bug fixes,

7:33

which I'm a little bit dubious on that

7:34

one. But nonetheless, like maybe things

7:36

have been changing a little bit and now

7:39

we are shipping a bit faster, but

7:41

there's no material impact. What we

7:42

thought would be these huge gigantic

7:44

windfalls are in fact just not showing

7:47

up in the actual data." And this of

7:49

course gets me to the linear CEO post

7:52

which I really think just nails this

7:53

whole thing which is we keep hearing

7:55

about the 10x or the 100x productivity

7:57

gains in engineering and knowledge work.

7:59

But outside of model labs I haven't seen

8:02

the corresponding 10x to 100x revenue

8:05

growth across the market or increase in

8:07

quality. Where is the productivity

8:11

going? This is so good because you know

8:13

where the productivity is going. All

8:14

these people talking about this just

8:16

incredible increase in productivity.

8:18

what they're really saying. They're

8:19

like, "Dude, bro, I've just set up the

8:20

greatest harness ever. Oh my gosh, you

8:22

will not believe how many different

8:23

versions of Cloud Code I have running.

8:25

Like, I got GStack on top of the P

8:27

stack. I got all the stacks going so

8:30

hard. I got TRT coming in hot. Like,

8:33

we're doing everything. I'm going to

8:34

make the most crazy commits ever. Like,

8:36

I've just spent the last three months

8:38

sharpening the sword. Honestly, it

8:40

reminds me a lot of neoim config

8:42

enthusiasts." Now, remember back in the

8:43

day, maybe like a year ago to 5 years

8:45

ago, maybe this guy got made fun of a

8:47

lot. You know why I got made fun of?

8:48

Because oh, I was always playing around

8:50

with my neim config. I wanted the

8:52

perfect experience and everyone was

8:53

like, "How could you do that? Now what's

8:56

it's I swear today is just the same

8:58

story again, which is, oh, you know what

9:00

we really need? We need to make the

9:02

greatest agent harness." Like that's

9:03

what we're actually missing, bro. Bro,

9:04

it's just one more harness and then

9:06

we'll actually be able to write infinite

9:08

free highquality code forever. It'll be

9:10

so fast. It'll be so amazing. Just one

9:11

more harness, bro. Bro, it's just like

9:13

I'm almost there. My system prompt is

9:14

like 98%. It's so close. Also, I do love

9:18

the in like this line right here because

9:20

if you really think about what he's

9:21

saying is, hey, it's all the labs.

9:23

They're making like 10 to 100x more

9:25

money. Where's everybody else's money

9:27

from all these from all these AI

9:29

productivity gains? Huh? Because if

9:31

everybody really is 10 to 100x more

9:34

productive, wouldn't that show up in a

9:36

bunch more revenue? Kind of crazy that

9:38

the only people making money are the

9:40

people selling shovels, huh? I mean,

9:42

they are seeing 10 to 100x revenue.

9:45

Geez, that seems a little strange, isn't

9:48

it? See, the thing that I think people

9:49

are missing about this whole AI craze

9:51

and all that is that sure, there's a

9:53

bunch of people that go zero to one with

9:54

AI and they're like, "Wa, bro, this is

9:56

the coolest thing ever, but there's a

9:58

bunch of us who want to go say from 30

10:00

to 60, right? We're actually in the

10:02

further part of the project." And so

10:04

what I end up personally doing, which is

10:05

something I do right here, is I go off

10:07

and I talk about everything I want to

10:09

build to the AI. And then I have it

10:11

implement a bunch of different versions

10:13

of it. And I go, "Okay, well, what if we

10:15

change this? How about we put all the

10:16

responsibility over here?" And I can see

10:18

like five different versions of the

10:19

exact same thing and go, "Huh, okay. I

10:21

like this. Yeah, I like that. Okay, I

10:24

like this." Like, it is demonstrabably

10:26

helping me see a bunch of different

10:28

versions to really understand what makes

10:30

a good interface. But it's not this like

10:32

100x improvement. I'm not even sure if

10:35

I'm actually improving the speed in

10:37

which I'm actually making these

10:39

features. Maybe my understanding is a

10:41

bit faster. Maybe the ideas I'm coming

10:43

up with are a little bit more

10:44

solidified. But maybe also just sitting

10:46

down with a pen and piece of paper and

10:48

drawing out my ideas would have made the

10:50

exact same impact. See the thing that I

10:53

think most people are missing. People

10:55

that actually instead of building say

10:56

the zero to one projects, right? There's

10:58

a whole bunch of like flashy kind of

11:00

shallow projects that people make and

11:01

they're like, "See, yo, bro, this is so

11:03

fantastic." No, like trying to make deep

11:06

integrated products that actually take a

11:07

long time to think about and actually

11:09

take a long time to come up with good

11:10

ideas. When you use AI, it increasingly

11:13

makes things more brittle and more

11:15

difficult. No matter what you're doing,

11:17

you have to take a step back and

11:18

actually work through the problems

11:19

yourself. And this is one thing that

11:21

I've really appreciated about AI. I can

11:23

come up with an idea. I can kind of type

11:25

out what it should be and then I can

11:27

say, "Hey, go build me a mock version."

11:28

I can look at the mock version and go,

11:29

"Okay, yeah, I hate all these parts.

11:32

This is just going to be a nightmare to

11:33

maintain. This is going to be a source

11:34

of bugs. Let's change things up. How

11:37

about you do it this way?" Then I can

11:38

look at go, "Okay, I actually really

11:40

like how this is looking, but I would

11:41

really like this thing moved over here.

11:42

I'd like this." And then look at it

11:44

again. And so you can see this right

11:45

here. This is me working through how

11:48

would animations look in an immediate

11:50

mode UI. Well, now I've had three swings

11:53

at it and I go, "Okay, I actually really

11:55

like this. This actually looks pretty

11:57

good. Now I get to implement the thing."

12:00

And this is what I think we're seeing is

12:01

that when you really use this as a means

12:04

to actually help you build real

12:06

software, there's still just so much

12:08

decision-m and time spent thinking about

12:10

how things should actually look that

12:12

yeah, exploration is cheaper than it's

12:15

ever been before, but actual

12:17

implementation still feels really heavy.

12:19

And if anything, making good decisions

12:21

now almost feels harder because of how

12:24

fast you can move. Anyh who, I just

12:26

wanted to talk about this for a little

12:27

bit because I feel like there's just

12:29

there's so much in our kind of world

12:30

right now that's it's doom and gloom or

12:33

it's just absolute hyping. It's like no,

12:35

AI is the worst thing. No, that's clear

12:37

clearly that's not real. Or B, it's like

12:39

AI is the greatest thing that has ever

12:41

existed. Also, clearly not real. Like

12:43

yes, it is absolutely magic. You can

12:46

describe with practically broken English

12:48

and have something come out that

12:50

approximately looks like what you're

12:51

describing. Like honestly truly that is

12:53

a magical human feat. I hope that I

12:56

never stop being amazed by that because

12:58

honestly that's wild. You could never

13:01

have convinced me 6 years ago like that

13:04

was going to happen in my immediate

13:05

future. It's just want to yap about

13:07

something maybe a bit more positive that

13:09

hey actually I think I think a lot of

13:11

good things are still ahead of us. I I

13:13

still think we got a lot of good time

13:15

and I still think competency is actually

13:18

extremely important in learning how to

13:20

program and being a good programmer is

13:23

still in fact really important.

13:26

Hey, the name is the primogen.

Interactive Summary

The video discusses the shifting narrative surrounding artificial intelligence in software development. While there was a prevailing belief that AI would cause massive job losses, recent comments from industry leaders like Sam Altman and the COO of Uber suggest that these productivity gains have not materialized as drastically as predicted. The host highlights that while AI is a powerful tool for exploration and prototyping, it does not replace the need for competent developers, deep thinking, and real decision-making in building high-quality software.

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