Maybe we were wrong
394 segments
The last couple years of being a
developer has been uh you know I guess
kind of interesting, right fellas? I
actually have some good news here. Okay,
things have been changing. Some whispers
have been having and new news is hitting
the front lines. It turns out being a
software developer might actually be
well, it might actually be pretty dang
awesome. Now, if you haven't been in the
software development realm for the last
3 years, let me do a quick recap for
you. First off, you shouldn't teach your
kids to code because honestly, you
should let AI do that, says AI salesman
number one.
>> You said AI could wipe out half of all
entry-level white collar jobs and spike
unemployment to 10 to 20% in the next 1
to 5 years.
>> Yes.
>> And of course, Daario here always just
giving it to you straight. By the way,
look at how happy he is. He is answering
this question with such elacrity. He has
never been more excited to tell you you
are about to lose your job than I've
seen any man on earth. This guy loves
firing people. He loves firing people,
not even from his own company. And if
that's not enough for you, of course,
last year we had Sam Alman, Sam
Jippidity Alman just dropping the Death
Star the day before big product
announcements just letting everybody
know, hey, what we're about to do, it's
pretty big. Now, of course, this is a
very confusing message. Is he saying
he's the bad guys? Is is that what he's
saying? is does he release the Death
Star? I'm still confused to this day.
Like this post actually eats like it's
an earworm. Okay, it eats me from the
inside. Like what the hell happened
here? Why why why would you post this?
But the thing I wanted to talk about
this this turning point that's happening
is this right here. Look at this. Justin
Sam Alman says AI probably won't trigger
the job apocalypse he once predicted.
Not only that, but Uber COO now says,
"Hey, when you're spending a whole bunch
of tokens, honestly, can't really tie it
to features." So, there's something just
kind of happening in our world. So,
maybe some news realizing how important
it is to have competent and good
developers. It's like the timeline is
almost kind of oddly healing in a way.
So, we of course we absolutely have to
go over this. I got a lot of Yeah, okay.
The vindication gap is going to land on
this video. But more importantly, I want
to do a quick thank you to the sponsors.
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>> Okay, first let's talk about Sammy Jippy
Alman right here saying, "Hey, maybe he
was wrong." Here's kind of exactly what
he said. This, of course, is from a
Commonwealth Bank of Australia
conference in Sydney just last Tuesday.
It says this, "I don't think we're going
to have the kind of jobs apocalypse that
some of the companies in our space
advocate or talk about." By the way, I
love the fact that he says advocate.
Like, there's actual companies in his
space advocating for everybody to lose
their jobs. You know who we're talking
about, okay? You know who Sammy boy is
talking about. He's not talking about,
you know, minstal AI. The bro's talking
about Anthropic. He's just like, "Yo,
Anthropic,
they really want you to lose the jobs
here." M it could also be to be fair
this could also be some sort of jab at
Musk as well. I can't really tell but
either way very hilarious. I thought
there was going to be more impact on
entrylevel white collar jobs being
eliminated by now than has actually
happened. I now think I understand more
about why it hasn't and I'm obviously
grateful. But that is an area where my
intuitions were just off. We really do
care about our interactions with people,
he added, which he said, for better or
for worse. Updated me to thinking that
the jobs picture is likely going to be
very different than we thought. Okay.
Whoopsie. Turns out maybe people like to
talk to people and interact with people
and building great products. Actually,
turns out it just might take people.
Might take people to do that. Huh.
Crazy. I I just thought we were going to
get metered intelligence. I thought I
thought you stole the internet, took
everything, compressed it down into the
sweet next token prediction, and then
sell us back to us, and then we pay for
it. And it's just like that, and that's
how the world works. Of course, Sam's
actually not the only one. Goldman Sachs
CEO David M. Solomon says that AI won't
eliminate 25% of the jobs. He's just
saying, "Hey, it turns out people spend
their time in more productive ways." And
he makes some cases down here saying,
"Hey, did like any other technology ever
do this? And what we're observing is not
true in the data." So, this is actually
kind of a positive development. I'm
actually pretty excited about this. I
would love to see things actually
healing from this craze where you have
all these CEOs that have been told for
the last two years of these companies
like, "No, bro. Bro, I'm just letting
you know you got to just like, dude,
just like fire everybody. You don't need
them because you got AIS, dude. You got
Open Claw. Open Claw is going to do
everything. You just say, "Yo,
million-dollar sass. No mistakes." And
bam, in just a few minutes, crunching
some claw four points. Actually, 4.6.
4.7 is kind of trash. We all think it's
trash. Okay. 4.6. 4.6. And boom, you're
going to have yourself a million dollar
SAS. I am so happy that this is starting
to crumble because this is something
that has needed to crumble now for a
while because it is ridiculous. There is
so many people right now that at their
jobs are being forced to to like a
certain level of AI output. And if they
don't make it, they're like heads on the
chopping block. Even if it's not a good
idea. Like they don't even get the
option of going, "Hey, is this good or
bad?" It's like, no, use it or that's
bad. Like, if you don't use it, that's
bad. It's like, well, maybe it's not
always the best thing. And where this is
really starting to show is this right
here. This the Uber COO saying that
heavy AI spend is actually getting
harder to justify as higher token usage
fails to show clear payoff in consumer
features. Now, this of course is a
headlining item. So, let's actually
watch the video as opposed to, you know,
seeing what Twitter has to say. Let's
let's look at the actual video. Let's
hear what he has to say. I know, novel
concept, right?
>> You make your head explode, right? When
you hear companies talking about, hey,
25% of code commits uh over the last
quarter were AI driven um or you know
our token usage went from X to Y or
percentage of employees, you know, all
all these sort of numbers. Um, and it's
amazing and I think it's like this
massive transformation of society, but
then you sometimes go and you talk to
your senior engineering leaders and
you're saying, okay, how many projects
that were on the cutting room floor got
moved above the line because of the, you
know, productivity gains because 25% of
our code commits were via cloud code
last last quarter.
That link is not there yet, right? like
you're not I mean I think maybe
implicitly there there's more that is
getting shipped but it's it's it's very
hard to draw a line between one of those
stats and okay now we're actually
producing like 25%
more useful consumer features
>> and this is the COO of Uber like this
guy has fully committed to this AI kind
of adventure in fact they spent within
the first four months their operating
year budget for AI like these people
were committed and now after all this
are like, "Okay, wait, wait, wait, wait,
wait, wait. Maybe not everything that
glitters is gold. Perhaps there are some
things that we don't really see these
implicit features that he was talking
about. Maybe there's more bug fixes,
which I'm a little bit dubious on that
one. But nonetheless, like maybe things
have been changing a little bit and now
we are shipping a bit faster, but
there's no material impact. What we
thought would be these huge gigantic
windfalls are in fact just not showing
up in the actual data." And this of
course gets me to the linear CEO post
which I really think just nails this
whole thing which is we keep hearing
about the 10x or the 100x productivity
gains in engineering and knowledge work.
But outside of model labs I haven't seen
the corresponding 10x to 100x revenue
growth across the market or increase in
quality. Where is the productivity
going? This is so good because you know
where the productivity is going. All
these people talking about this just
incredible increase in productivity.
what they're really saying. They're
like, "Dude, bro, I've just set up the
greatest harness ever. Oh my gosh, you
will not believe how many different
versions of Cloud Code I have running.
Like, I got GStack on top of the P
stack. I got all the stacks going so
hard. I got TRT coming in hot. Like,
we're doing everything. I'm going to
make the most crazy commits ever. Like,
I've just spent the last three months
sharpening the sword. Honestly, it
reminds me a lot of neoim config
enthusiasts." Now, remember back in the
day, maybe like a year ago to 5 years
ago, maybe this guy got made fun of a
lot. You know why I got made fun of?
Because oh, I was always playing around
with my neim config. I wanted the
perfect experience and everyone was
like, "How could you do that? Now what's
it's I swear today is just the same
story again, which is, oh, you know what
we really need? We need to make the
greatest agent harness." Like that's
what we're actually missing, bro. Bro,
it's just one more harness and then
we'll actually be able to write infinite
free highquality code forever. It'll be
so fast. It'll be so amazing. Just one
more harness, bro. Bro, it's just like
I'm almost there. My system prompt is
like 98%. It's so close. Also, I do love
the in like this line right here because
if you really think about what he's
saying is, hey, it's all the labs.
They're making like 10 to 100x more
money. Where's everybody else's money
from all these from all these AI
productivity gains? Huh? Because if
everybody really is 10 to 100x more
productive, wouldn't that show up in a
bunch more revenue? Kind of crazy that
the only people making money are the
people selling shovels, huh? I mean,
they are seeing 10 to 100x revenue.
Geez, that seems a little strange, isn't
it? See, the thing that I think people
are missing about this whole AI craze
and all that is that sure, there's a
bunch of people that go zero to one with
AI and they're like, "Wa, bro, this is
the coolest thing ever, but there's a
bunch of us who want to go say from 30
to 60, right? We're actually in the
further part of the project." And so
what I end up personally doing, which is
something I do right here, is I go off
and I talk about everything I want to
build to the AI. And then I have it
implement a bunch of different versions
of it. And I go, "Okay, well, what if we
change this? How about we put all the
responsibility over here?" And I can see
like five different versions of the
exact same thing and go, "Huh, okay. I
like this. Yeah, I like that. Okay, I
like this." Like, it is demonstrabably
helping me see a bunch of different
versions to really understand what makes
a good interface. But it's not this like
100x improvement. I'm not even sure if
I'm actually improving the speed in
which I'm actually making these
features. Maybe my understanding is a
bit faster. Maybe the ideas I'm coming
up with are a little bit more
solidified. But maybe also just sitting
down with a pen and piece of paper and
drawing out my ideas would have made the
exact same impact. See the thing that I
think most people are missing. People
that actually instead of building say
the zero to one projects, right? There's
a whole bunch of like flashy kind of
shallow projects that people make and
they're like, "See, yo, bro, this is so
fantastic." No, like trying to make deep
integrated products that actually take a
long time to think about and actually
take a long time to come up with good
ideas. When you use AI, it increasingly
makes things more brittle and more
difficult. No matter what you're doing,
you have to take a step back and
actually work through the problems
yourself. And this is one thing that
I've really appreciated about AI. I can
come up with an idea. I can kind of type
out what it should be and then I can
say, "Hey, go build me a mock version."
I can look at the mock version and go,
"Okay, yeah, I hate all these parts.
This is just going to be a nightmare to
maintain. This is going to be a source
of bugs. Let's change things up. How
about you do it this way?" Then I can
look at go, "Okay, I actually really
like how this is looking, but I would
really like this thing moved over here.
I'd like this." And then look at it
again. And so you can see this right
here. This is me working through how
would animations look in an immediate
mode UI. Well, now I've had three swings
at it and I go, "Okay, I actually really
like this. This actually looks pretty
good. Now I get to implement the thing."
And this is what I think we're seeing is
that when you really use this as a means
to actually help you build real
software, there's still just so much
decision-m and time spent thinking about
how things should actually look that
yeah, exploration is cheaper than it's
ever been before, but actual
implementation still feels really heavy.
And if anything, making good decisions
now almost feels harder because of how
fast you can move. Anyh who, I just
wanted to talk about this for a little
bit because I feel like there's just
there's so much in our kind of world
right now that's it's doom and gloom or
it's just absolute hyping. It's like no,
AI is the worst thing. No, that's clear
clearly that's not real. Or B, it's like
AI is the greatest thing that has ever
existed. Also, clearly not real. Like
yes, it is absolutely magic. You can
describe with practically broken English
and have something come out that
approximately looks like what you're
describing. Like honestly truly that is
a magical human feat. I hope that I
never stop being amazed by that because
honestly that's wild. You could never
have convinced me 6 years ago like that
was going to happen in my immediate
future. It's just want to yap about
something maybe a bit more positive that
hey actually I think I think a lot of
good things are still ahead of us. I I
still think we got a lot of good time
and I still think competency is actually
extremely important in learning how to
program and being a good programmer is
still in fact really important.
Hey, the name is the primogen.
Ask follow-up questions or revisit key timestamps.
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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