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Recovering from AI Psychosis | TheStandup

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Recovering from AI Psychosis | TheStandup

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1381 segments

0:00

Welcome to the stand. Today we have with

0:02

us Adam.dev. If you do not know, the

0:04

legendary vegan from the Ozarks. He has

0:06

single-handedly helped make something

0:08

compete against Claude Code by himself.

0:11

Adam is a fantastic dev and we've made

0:14

fun of him many times for being a vegan

0:15

and going to Korean barbecue with us.

0:17

But the more important thing about Adam

0:18

is that he went from coding everything

0:21

by hand, not really into the AI, going

0:23

to full AI psychosis. And apparently he

0:26

is back out of AI psychosis, coming into

0:29

reality again, took a month off the

0:31

internet. And when we saw this, we said,

0:32

"Okay, Adam, come on. Talk to us. We got

0:35

to hear the story. We got to understand

0:36

it." Because I think a lot of people are

0:38

probably feeling they're probably in the

0:40

month-long adventure or they wish they

0:43

had the month-long adventure or even

0:44

more so they're probably in full AI

0:46

psychosis right now not even realizing

0:48

they need whatever you whatever you had.

0:50

So we'd love to hear the story and all

0:52

that. TJ interruption now.

0:55

>> Oh I was just going to say I'm building

0:56

my own programming language.

1:06

Yeah.

1:08

Uh, anyways, sorry,

1:09

>> Adam. So, can you give those of us who

1:12

don't know like a little bit of

1:13

background on like where this whole

1:15

thing started cuz like I also don't know

1:17

if everyone knows that you worked on

1:19

Open Code. I mean, they might only be

1:21

passingly familiar with Open Code. So,

1:22

could we get can we get like the deep

1:24

the the starting point of the story

1:26

>> from zero to one, shall we say?

1:28

>> Yeah.

1:30

>> Uh, yeah. I guess it starts uh like

1:33

April of last year. So Claude Code came

1:35

out in maybe like February, something

1:37

like that. Uh, and I started working on

1:39

Open Code in April.

1:41

>> And I I would say like that was around

1:43

the Claude 3.7. I'm going to reference a

1:46

lot of model numbers because it's just

1:48

kind of like the timeline. It helps me

1:49

remember everything. Uh, that was like

1:51

3.7 where I I feel like more it was kind

1:54

of picking up. More people were playing

1:55

with the whole agentic thing. Uh so not

1:58

just like going to the browser and

1:59

asking questions and then copy pasting

2:01

code but like letting it run on your

2:03

machine uh cloud code style. So I

2:06

started working on it in April and I

2:08

would say like until September maybe

2:11

September October I wasn't really using

2:14

the stuff. I was building it mostly by

2:16

hand. Uh and I would just like forget

2:18

and I know Dax and I have talked about

2:19

this a lot. we would just completely

2:20

forget to use it for weeks or for a week

2:22

and then be like, "Oh man, if I'm going

2:24

to make this and expect people to use

2:25

it, I should be using it,

2:26

>> right?"

2:27

>> Uh, so mostly like through the summer

2:29

just kind of doing everything by hand,

2:30

still

2:31

>> like playing with it, but not really

2:33

sold and not really impressed with with

2:35

what it was able to do. Uh, I guess it

2:38

was it was sometime in the fall when I

2:39

think it was Opus 4. It could be 4

2:42

something, but I think it was four when

2:44

I started trying to lean harder into it

2:46

over the the fall. And again, it just

2:50

like, and I've always found this with

2:51

the claw models, it just like took so

2:53

many shortcuts and did so many stupid

2:55

things that I had a hard time like

2:56

handing over anything to it without just

2:59

feeling like I wasted my time. Uh, yeah.

3:02

I I wish Trash was here. I feel like he

3:04

would be able to relate more with me.

3:05

Like I think when I saying this, I'm

3:07

just assuming Casey's thinking it's

3:09

still a waste of time.

3:10

>> We all wish trash was with us. Okay,

3:12

it's okay, Adam. We all

3:14

>> here. Here, I'll I'll I'll be trash.

3:17

Okay.

3:22

>> Hey, is that HTTP? Get that out of here.

3:25

That's not how we order coffee. We order

3:27

coffee via SSH terminal.shop. Yeah. You

3:30

want a real experience? You want real

3:32

coffee? You want awesome subscriptions

3:34

so you never have to remember again? Oh,

3:36

you want exclusive blends with exclusive

3:38

coffee and exclusive content? Then check

3:42

out Kron. You don't know what SSH is?

3:45

>> Well, maybe the coffee is not for you.

3:47

Terminal coffee

3:50

in hand.

3:56

>> To your point though, Adam, I 100%

3:57

agree. I feel like

4:00

Claude, it loves to be lazy.

4:02

>> Yeah, I never really and I still don't

4:04

really use the Cloud models. I It was

4:05

like really winter sometime. I think it

4:07

was December that the GPT5.2 model came

4:10

out somewhere around there. And that was

4:12

the first time because I had been

4:13

reviewing every line that Claude would

4:15

spit out. That was the first time that I

4:16

was using GPT. There was a few people on

4:19

Twitter very actively like praising it

4:21

and very loud about it. Uh it was like

4:24

reviewing the GPT output compared to the

4:26

cloud stuff. It was just so much more

4:27

clever. It felt like it it was taking

4:29

its time and like it took forever to run

4:32

like it was much slower. Uh but I felt

4:34

like hey this model output is good

4:36

enough that I want to use it more. That

4:37

was for the first time I think that I

4:38

really started leaning hard into it.

4:41

>> It's kind there actually about that

4:43

because this is interesting. I feel like

4:46

so as someone on the outside of this

4:48

sort of stuff, I feel like if I if you'd

4:50

asked me like from what you see online,

4:55

which of the two models do people

4:57

prefer, I would have assumed it was

4:59

anthropic because that's what people

5:00

always talk about. Is that fake news?

5:02

Like is that not really the case? At

5:03

least in your experience.

5:05

>> I mean, I think this year GPT has kind

5:08

of taken the mantle. And I'm speaking

5:10

more for like the extremely online

5:11

crowd. I don't think I have any idea

5:14

what the broader like 80% of developers

5:16

who just clock in clock out what they're

5:17

doing but the people who talk a lot

5:19

online I think GPT models since 5.2 to

5:22

have kind of slowly taken and now to the

5:24

point I think codeex is kind of the

5:25

default. Our team at anomaly I mean 20

5:29

20 of us we we by far use the GPD

5:32

models.

5:32

>> I would say Casey um the thing I've seen

5:37

>> is a lot of people who don't want to

5:40

look at the code ever really like ant

5:43

cla code. Not to say that there aren't

5:44

people who like

5:46

>> uh like who like looking at code who

5:48

aren't ser like I'm there are a lot of

5:50

people who are serious engineers who

5:52

still like that. But in my experience

5:54

it's been like cool I can pay $20

5:57

Anthropic gives me $4,000 of tokens. I

6:00

don't ever look at the code and I'm like

6:02

I have 35 new dashboards. And you're

6:04

like but did the dashboards do anything?

6:05

But I have 35 of them. So, so not to put

6:09

too point fine a point on it here, but

6:11

like it sort of sounds like you guys are

6:12

saying that for the discerning customer,

6:16

you're going to pick chat GPT. Is that

6:18

sort of what you're saying at this

6:19

point? I mean, I don't want to

6:20

>> So, I'm not a chat GPT guy, though. I I

6:22

do I do throw it over there. I I

6:24

personally every time I generate

6:25

something with chat GPT, claude or uh

6:28

other models, I find myself always

6:30

refactoring and fixing them. And I keep

6:32

on trying to make this better and nicer.

6:34

And I keep trying to get to this golden

6:35

land of you can just produce code and be

6:37

happy, but I have yet to be happy. And

6:39

so I find them all to be near similar

6:42

and that how you prompt it probably

6:44

makes a bigger impact.

6:46

>> Okay.

6:46

>> Except for Claude loves like adding like

6:48

GPT loves adding tests. Like they all

6:50

kind of have their own like little

6:51

flavors to things.

6:52

>> Okay.

6:53

>> I would say like this generation with

6:55

the latest models. They're probably all

6:57

pretty similar. I think it's more

6:59

probably like the the relations to

7:02

developers from anthropic versus open AI

7:05

has shifted a lot and I think there's

7:06

been a lot of backlash with just the way

7:08

anthropics handled certain things. So

7:09

it's probably more that at this point.

7:11

>> Okay.

7:12

>> Sorry. I just I just wanted to hear that

7:13

cuz you know I don't have experience

7:15

with these things. So I was just kind of

7:16

I was curious on that because it's like

7:17

it seems like the public uh the public

7:20

perception sometimes seems to be that

7:22

anthropic is ahead in some way but that

7:24

sounds like that's not really true from

7:25

the experience of people here. So that

7:26

that was good friction. Thank you. I

7:28

>> I do want to throw one more thing out

7:29

from uh I think it was Lex Friedman who

7:31

said this which is that people develop

7:33

like a personal love for the model cuz

7:35

they solved a problem at a time

7:37

>> and then at some point in the future it

7:39

fails on solving a problem. So they

7:41

switch models and then that new model

7:43

successfully does it. So they're like

7:44

that's my new favorite one. That's so

7:46

it's like more of a like an irrational

7:48

love as opposed to like a highly

7:49

scientific this is the good one.

7:51

>> They're not actually counting like how

7:52

many times did this one do a good job,

7:54

how many times did that one do a good

7:55

job. They're just kind of like

7:56

remembering the last big success or

7:58

something.

7:58

>> Yes, I think that that's that's

8:00

typically where it goes.

8:01

>> Yeah. I also think probably like people

8:04

are discounting that like the models

8:07

probably do some stuff differently. Like

8:08

they're pretty big. They spend a lot of

8:10

money. They've seen a lot of different

8:11

stuff. They have different things and

8:13

like probably different people's brains,

8:15

my guess, would on average work better

8:17

for different ones where like, oh, I'm

8:19

an overt talker. Maybe it you know, like

8:21

there's probably some stuff too where

8:23

it's like like that. You'll definitely

8:25

see some and like Adam you probably know

8:27

feel this too like if I ask GPT to make

8:31

if I make like whatever you know 55 if I

8:34

ask it to make something and I tell it

8:35

to make some UI it will put in the UI

8:39

all over the place and it will say

8:41

without fail which I don't understand

8:43

how they haven't gotten rid of this

8:45

hello this is an app built with effect

8:47

and it's running on bun also click down

8:51

here for more info and you're

8:55

What website ever said? When you get to

8:58

the front page, they say, "Here's our

9:00

tech stack." as the first big header.

9:02

Every time you do this, I don't

9:04

understand why it's doing this, but it

9:05

literally just says, "Hello, here's our

9:07

tech stack, and here's some quote from

9:10

you describing what you wanted, how to

9:11

build this, and you're like,

9:13

>> "Okay, guys, that that's crazy." So, for

9:16

>> anyways, I don't know, Adam, you can

9:18

keep on

9:19

>> they do some things clearly different,

9:21

and you feel it like when you're using

9:23

them. Yeah.

9:23

>> Yeah, that's definitely part of it. I

9:24

think for a long time people have

9:26

complained that the codeex models that

9:28

the GBT models are pretty bad at UI and

9:30

Sonnet seems to or Opus seem to be

9:32

better at that stuff. So it is weird and

9:34

like everybody has different workflows.

9:36

Some people like to work with it where

9:37

they tell it exactly what to do and they

9:38

just want to do it very fast. So people

9:41

like DHH are very vocal about models

9:43

like Kimmy K2.6 or whatever the open

9:46

source models.

9:47

>> Okay.

9:47

>> Uh because they're very fast and they

9:49

can be very good at those kind of tasks.

9:51

But if you want to like have it build

9:52

broader things, scope out, you know,

9:55

boilerplate stuff for like a whole

9:56

project, then maybe other models are

9:58

better. There's all these kind of

9:59

nuances. But

10:00

>> I think what Prime said, going back to

10:02

the the like last success, that was

10:04

really kind of what I think spun me off

10:06

into what I would call the psychosis.

10:08

Okay, cool.

10:08

>> Once you

10:09

>> once you've been into that AI psycho

10:10

psychosis, you see it everywhere. Like

10:12

you see so many people's posts and you

10:14

just like you know exactly where they

10:15

are on this journey.

10:16

>> Oh wow. uh like if they start talking

10:17

about multiple accounts like they have

10:20

multiple codeex accounts or mo multiple

10:21

cloud subscriptions or they're talking

10:23

about leaving them running overnight

10:24

like that kind of stuff you can just go

10:26

back and remember exactly the frame of

10:28

mind you were in when you kind of like

10:30

went down that path.

10:31

>> This is fascinating.

10:32

>> Yeah. Say more about those things Adam

10:35

because I I don't do any of those things

10:37

cuz they they seem very distracting to

10:40

me with my family. So I've actually I've

10:42

avoided this version. Well, I'm I'm a

10:45

very intense like obsessive person, so I

10:48

think I ran the whole thing kind of on a

10:49

speedrun. Like I it maybe normally isn't

10:51

so intense and it takes longer and maybe

10:53

it's not so disruptive to your life, but

10:55

I mean it led for for me to like a

10:57

month-long complete burnout. I mean it

10:59

was like I was very intensely down this

11:02

rabbit hole. Uh and I think it started

11:04

with like it's like so I played a lot of

11:06

golf in my past and the thing about golf

11:09

it's such an expensive sport. It's such

11:10

a pain in the ass in so many ways. like

11:12

it's just extremely difficult. Like

11:14

you're just constantly chasing balls all

11:15

over the the woods and everything. Uh

11:17

but you'll hit like one good shot every

11:19

round and that'll get you coming back.

11:21

Like you'll have that moment where

11:22

you're like, "Oh, I'm coming back

11:24

tomorrow because golf is amazing."

11:26

>> And that I think that's what it was like

11:28

5.2 era, one of those models just put

11:30

out enough really like this is a cool

11:33

output. It was something that kind of

11:34

got me hooked that dopamine of seeing it

11:37

do something that you're like I I could

11:38

I might have done it that way. Like

11:39

that's that was awesome. That kind of

11:42

started the well then I'm going to re

11:44

review it less like I'm not looking at

11:45

the code as hard. I'm like doing because

11:48

those models were so slow you start have

11:50

to do all these weird like

11:51

parallelization optimizations like

11:53

you're you're running work trees and

11:54

you're doing all this stuff because

11:55

you're waiting 10 minutes for it to

11:57

finish.

11:58

>> Uh so then you start work for those that

12:01

don't know it's just like cloning out

12:03

your uh work folder into another one

12:05

that's just like a different branch of

12:06

git. So you can actually be editing, you

12:08

know, two different folders, two

12:10

different git branches at the same time

12:12

for one project.

12:13

>> I thought we were back on the golf

12:15

analogy. So that's Thank you, Prime.

12:16

That's awesome.

12:18

>> Yeah, the ball is off trees. Can I say

12:22

for a really good strategy to enjoy golf

12:25

more, this is what my mom does when she

12:26

golfs, is sometimes she doesn't even

12:28

write down the stroke count for the the

12:31

like that hole, but she will just put a

12:33

little star if it made a nice sound and

12:35

got in the air and she says that was a

12:37

good hole.

12:38

>> So like and she has fun when she goes

12:40

golfing.

12:41

>> That's what I'm saying. You're not

12:42

breaking any course records, guys. Okay?

12:44

You're not breaking any course records.

12:46

You put

12:46

>> Have you Have you met TJ's mom, Happy

12:48

Gilmore? Uh really nice uh effort.

12:52

>> Really really fun to golf with.

12:58

>> Anyway, sorry. Continue, Adam.

13:00

>> Uh yeah, where was I? I guess like uh

13:03

that's that's when it started. So it was

13:05

like had a few outputs that really

13:07

compared to the what I was experiencing

13:08

with the anthropic models just felt like

13:10

this thing's so much smarter. And then

13:11

you just start to like uh assign so much

13:15

intelligence to this thing that maybe it

13:17

just got lucky. Maybe it was just the

13:19

exact right thing uh that it needed to

13:22

solve and it solved it really well.

13:24

Anyway, it it yeah, it led to like I

13:26

mean I would be running, you know, four

13:27

or five of these things at a time and

13:28

I'm sure there's people listening to

13:29

this that have gone deeper than this and

13:31

they're like rookie numbers or whatever.

13:33

Uh you'd have like all these work trees

13:34

and you're just doing like endless

13:36

refactors that are completely pointless

13:38

like or like doing audits like for

13:40

performance stuff. I'm sure people are

13:41

going to resonate with this. Like you

13:42

are in AI psychosis. If you're hearing

13:44

this and you're like wait I do that

13:46

every day. It's called AI psychosis.

13:48

>> Okay.

13:49

>> Okay.

13:50

>> You're just like the same

13:51

>> recording an ad and it's like a Sarah

13:54

McLaclin like this if this is you AI

13:57

psychosis

13:58

>> and I remember seeing other people

14:00

during the in the height of it for me

14:01

like through the winter December

14:03

January. I remember seeing other people

14:04

say things online and you'd be like yeah

14:06

he gets it and like what he gets is he

14:09

also has but they'd be saying things

14:12

like they'd say things like I can't

14:14

sleep. I just can't like and that was

14:16

me. I couldn't hardly go through night.

14:17

I have my laptop in the bedroom and I'd

14:19

wake up because I want to start another

14:20

prompt. Like I literally couldn't think

14:22

of it like going the next 30 minutes

14:24

without doing more work. And it's

14:27

totally nonsensical and and like just

14:29

insane to look back on and think that I

14:31

was in my right mind. I wasn't.

14:32

>> Uh can I can I jump in? By the way, for

14:34

if you don't know uh Casey uh Mark I

14:37

just watched a Mark Andre clip and he's

14:38

talking about uh AI vampires. Like this

14:41

apparently is super popular in the

14:42

valley where you are effectively ruining

14:45

your entire sleep cuz all night you're

14:47

reprompting your agents then going back

14:48

to sleep and then waking up in 20

14:50

minutes to make sure they're all still

14:51

running and then going back like just

14:52

totally destroying your brain and your

14:54

life over being productive. It's like

14:55

people people debating whether they

14:57

should get into the polyphasic sleep and

14:58

stuff like I'm going to sleep five times

15:00

a day for 20 minutes each like it was

15:03

>> Adam if you do that it's kind of like

15:05

you have six days and if you think about

15:07

it you stack that up over one month I'm

15:09

going to kick your butt.

15:11

>> Yeah.

15:11

>> Okay. Sorry. UH IF PUT THE CLIP IN JOSH

15:14

PUT THE CLIP IN.

15:16

>> So I measure time. I've compressed and

15:17

condensed time. I've bent it. My day is

15:20

6:00 a.m. to noon. And I'm not crazy.

15:22

You're crazy for thinking it takes 24

15:24

hours. just like some dude in a cave did

15:26

300 years ago. My second day starts at

15:28

noon and goes till 6 p.m. That's day

15:30

two. And then the next day is 6:00 p.m.

15:32

to midnight. What I've done now is I

15:34

have changed a manipulated time. I now

15:35

get 21 days a week. Stack that up over a

15:38

month. I'm going to kick your butt.

15:39

>> That sounds excellent. I have no idea

15:41

what I don't think he was joking. I

15:43

don't think he was joking. So I I I do

15:46

want to say on the like the the AI

15:50

psychosis part of like waking up and all

15:52

this stuff, this is like not that

15:53

different from a bunch of other things

15:55

where people like people do insane stuff

15:59

to like play slot machines or do a bunch

16:00

of you know what I'm saying? Like

16:02

sometimes

16:02

>> coin back when I was trading it in like

16:04

2012 2013 I I was losing sleep.

16:08

>> When you didn't hold Yeah. Right.

16:10

>> Sounds a little bit like World of

16:12

Warcraft too originally. I remember

16:14

people had problems with that where they

16:15

would just kind of like they would stop

16:17

leaving the house and they would just

16:18

Okay. Yeah. Like

16:21

>> a pattern.

16:22

>> Yeah.

16:22

>> So, so Adam, like um how does this start

16:27

exactly though? Like because is it were

16:31

you seeing particularly good like

16:33

improvements in productivity or was it

16:35

really just it was just the fact that

16:38

you liked seeing that the AI could do

16:40

something and so you felt like there was

16:42

something to like to go after there and

16:44

you just couldn't help yourself but do

16:46

that even though it wasn't necessarily

16:48

like oh my god I'm getting all this much

16:50

more work done.

16:51

>> I think it's the latter. I think you

16:52

would you would convince yourself of the

16:54

former to justify it like this is so

16:55

much more productive. I'm getting so

16:57

much done.

16:57

>> I see.

16:58

>> Uh but I think it really is just like

17:00

that prompt and dopamine cycle. You

17:02

would you'd submit a big prompt, you'd

17:04

come back and see the results and it's

17:05

just the slot machine thing. It's like

17:06

did it do a good job?

17:08

>> Uh and then you get into and I'm sure

17:10

there's people that get into these with

17:11

LLMs even outside of coding. Like I'm

17:13

sure I mean you people falling in love

17:15

with models and stuff. I'm sure it's a

17:16

similar phenomenon or just a sicko what

17:19

is it? Sick of pants whatever

17:22

sick of pants.

17:24

>> Sick of pants. I don't know.

17:25

>> Sick of pants. That's

17:26

>> I love shorts though.

17:28

>> Yeah.

17:29

>> Yeah. They're they're clearly like

17:31

>> they're clearly engineering.

17:36

>> I'm from the Ozarks. Okay.

17:38

>> We don't use big words.

17:40

>> All right. Uh

17:42

they're clearly engineered to like give

17:44

us that reward cycle. Like there it's

17:47

it's probably no different than any

17:48

other thing you can get addicted to. And

17:49

I get addicted to things very easily and

17:51

then very hard when I do. So

17:54

>> that's really interesting. So uh what

17:57

was like the worst point of this? Like

17:59

like what So at some point you decide

18:02

you're like you selfdecide you have a

18:05

problem I guess like were you the first

18:07

person to go I have a problem?

18:09

>> Uh

18:10

>> or did somebody tell you?

18:12

>> You know I mean my wife probably would

18:14

have first noticed uh

18:16

>> what was a sign that you were having a

18:17

problem? Like what did she point the

18:19

sleep stuff?

18:19

>> Yeah. What' she say? The Yeah, the sleep

18:21

stuff is the big thing for me cuz I I've

18:23

struggled with staying asleep for work.

18:25

Just before all this, you know, for my

18:27

entire career, I would it felt like

18:29

Christmas morning every day. Like I'd

18:30

sleep four or five hours a night and

18:31

want to get up to work on the thing

18:32

because like I get a big something out

18:34

of of programming and and building

18:37

things. Uh so I've always struggled with

18:39

sleep and we had to in the last couple

18:40

years really like build some boundaries

18:42

around I'm going to sleep eight hours a

18:44

night or I'm going to stay in bed at

18:45

least. Uh, so when it started

18:46

interrupting my sleep that I think

18:48

that's probably the first sign that drew

18:50

attention from my wife. Nobody really

18:52

like nobody I work with, I don't

18:54

remember Dax or anybody that works

18:56

closely with me saying like, "Hey, I

18:59

think you're you're losing your mind."

19:01

Uh, I think it was probably just the

19:03

burnout. Like I the first real like

19:06

something has to change is I didn't want

19:08

to wake up in the morning. And that's

19:09

like very rare for me. I'm just I'm I'm

19:11

a morning person. when I start sleeping

19:13

till like 7 7:30 I know something's

19:16

wrong and yeah it was it had just driven

19:18

me into this kind of like very hard

19:21

burnout that nothing I've never

19:22

experienced anything like it in my

19:24

career not not to this extent I've had

19:26

burnout where for a couple days I'm like

19:28

I want to work on something else but not

19:30

where I don't even want to get up or I

19:32

don't want to work like it's just a it's

19:34

always been like an obsession of mine so

19:37

>> quick question was just just so I really

19:39

understand it for you it was the

19:43

it was the pursuit of making the AI have

19:45

the hole in one

19:48

and it just didn't happen. So, you just

19:50

kept pursuing this like feeling of like

19:51

the perfect commit, the perfect prompt,

19:53

the perfect tier.

19:55

>> Or was it?

19:55

>> I think I just I don't think it ever

19:58

stopped doing what I was looking for. I

20:00

think I just physically mentally wore

20:03

myself out to the point that I had to

20:05

stop.

20:06

>> Like,

20:07

>> okay. I don't I don't think anything

20:09

clicked for me

20:09

>> when we were talking about it, Adam. I

20:11

thought like one of the things that I

20:13

remember you saying was just like

20:16

the company you were at before had like

20:18

less of a like direct competitor. So it'

20:21

been like a while since like you're

20:22

working on open code. There's like you

20:24

know a trillion dollars floating around

20:26

of people trying to

20:27

>> take every user of course and things

20:29

like that. So some of it, if I recall,

20:31

you were just like, "Oh, there's like a

20:33

trillion things for us to build and I

20:34

want to build this and I want to build

20:35

that and we need to build all the things

20:36

at once AND OH MY GOODNESS, I CAN BUILD

20:38

ALL the things at once cuz I have AI."

20:40

Like that was the impression that I got

20:43

when we were talking about it a while.

20:44

>> Yeah, it's a very competitive field

20:45

right now. I mean, a lot of people

20:47

trying to figure out how they can be the

20:48

ones that shape programming henceforth.

20:51

Uh so yeah, I'm not used to that. I'm

20:54

not used to having any competitors, let

20:55

alone a hundred of them I can look at on

20:57

Twitter every day. So yeah, Twitter was

20:59

or X was a big part of also mental

21:01

health drain. Uh all of it kind of came

21:03

together with the AI psychosis to kind

21:05

of drive me into a hole and it forced me

21:08

to stop. I mean I didn't work for a

21:10

month like I've never done that in my

21:11

career. Uh five weeks even I think and

21:14

that was enough time to get some

21:16

perspective uh to not interact with LLM

21:19

for a while. It's kind of like you start

21:21

looking at it all very differently. Uh

21:23

once you get kind of snapped out of that

21:24

that

21:25

>> can can you tell us what you did during

21:26

those five weeks? like so just no

21:27

Twitter, no LLMs or no programming.

21:30

>> Well, he was he was he was tired of he

21:32

he it was affecting him negative

21:34

psychologically to go on X and see all

21:36

these competitors. So he moved to Blue

21:38

Sky where he wouldn't be scared of

21:39

competitors anymore.

21:45

>> No, I actually Yeah, I was pretty I was

21:47

pretty off pretty.

21:49

>> No, that's good. I do have a Blue Sky

21:51

account.

21:52

>> Okay, there you go. Partially true.

21:54

PARTIALLY TRUE. GET OFF THE podcast this

21:57

podcast official.

21:58

>> I don't use it. I don't know.

21:59

>> I have one. I I try to cross post on

22:01

there sometimes. I'm just kind of lazy

22:02

about it. I I don't I want people to be

22:04

able to get stuff wherever they want it,

22:06

right? So,

22:06

>> yeah.

22:07

>> Anyway,

22:09

>> yeah, I was uh for that I mean for that

22:11

five weeks, the first couple weeks I was

22:12

really sick. My whole family, we just

22:14

get sick because my kids are in school

22:15

and that that just happens.

22:16

>> And the veganism.

22:17

>> True.

22:18

>> And the veganism. Yeah. Uh so I was a

22:21

couple weeks just like holed up in bed,

22:22

watched Netflix for the first time in

22:24

years. That was interesting. Uh,

22:26

Breaking Bad's pretty good. I'd never

22:28

watched Breaking Bad and like everybody

22:29

talks about Breaking Bad, so I was like,

22:30

gonna watch Breaking Bad. Anyway, uh, I

22:33

watched some Netflix and then I would

22:35

say the the last few weeks a lot of time

22:38

golfing, ironically. Got back into golf.

22:40

Uh, just hang out with my wife. We

22:42

played a lot of tennis while the boys

22:43

were still in school. Uh, just a lot of

22:46

time offline. It was It was the most

22:48

offline I think I've been Yeah. in my

22:50

career. So, in 15 years.

22:54

How are you feeling now?

22:55

>> I feel amazing. Uh yeah, so I came back

22:58

uh I'm just now getting started working

23:00

on some stuff again with the open code

23:01

team and it was like I feel like I came

23:04

back right as the team the team one just

23:08

grew a lot. Uh, so we just hired a bunch

23:09

of people and I've kind of seen how a

23:13

lot of the team members have found a

23:14

healthy way to work with AI and like

23:17

just seeing their perspectives on how

23:18

they use it to kind of like to like

23:21

generate better code and focus on like

23:23

spending more time trying to drive

23:26

toward a given outcome as opposed to go

23:29

really fast, cover a lot of ground, like

23:30

all the kind of stuff that that I got

23:32

into that was so unhealthy. Uh so kind

23:34

of like going more into the craft and

23:36

trying to go back to we're just going to

23:38

get to really good outcomes and and use

23:40

these tools to get us to better outcomes

23:42

than we would have taken the time to get

23:44

to before. Uh so yeah, it feels like

23:46

most the team has kind of converged on

23:49

this very healthy way to approach AI

23:51

coding and that's been helpful like I

23:54

can kind of reframe how I view this

23:56

stuff. It's still a little scary. Like I

23:58

don't know like am I just one prompt

24:00

away from

24:02

just like crazy obsession again. I I

24:05

hope not. Uh but yeah, it's felt good.

24:07

It's been like a week and a half now

24:09

I've been back.

24:10

>> Is there anything that starts to kind of

24:11

trigger that feeling? Like is there a

24:13

specific type of response or something

24:15

that you can feel yourself drifting

24:16

towards or is it just all general usage?

24:20

>> I don't know. I uh I don't really feel

24:23

like I'm going to go back at this point.

24:24

And I feel like it's some kind of hype

24:25

cycle thing where once you're on the

24:27

other side of that peak, you're you're

24:29

probably like you have the perspective

24:30

you're not going to fall back into it,

24:32

but uh yeah, I don't I can't say for

24:34

sure. I guess I don't know really what

24:36

triggered it the first time. I just

24:37

think it was kind of like feeling that

24:39

this thing is more intelligent than the

24:41

previous models. And so maybe that's it.

24:43

Maybe some new model comes out and right

24:45

all the hype that happens and all the

24:47

excitement and it does something some

24:49

unique thing that the other models

24:50

always failed at and you're like, "Oh my

24:52

god, this one this one's it.

24:54

It's here to save us all.

24:57

>> Walk us through. You get a new ticket,

24:58

Adam. How are you going to fix how how

25:00

does that go now? I'm interested to

25:02

hear.

25:03

>> What's a ticket?

25:04

>> You know, an issue on GitHub or

25:06

something that you want to go fix. Yeah.

25:07

Not like for speeding,

25:09

>> Adam. For developers like Tee where when

25:11

they ship code, they get a lot of these

25:13

issue reports on it. You're you're

25:16

probably not as familiar with that.

25:19

>> Big fan. Big fan. I get a lot of

25:22

tickets. Uh my boss keeps sending them

25:25

to me. He says we have AI. He's making

25:27

10x the tickets. He's coding now, too.

25:29

So that's really fun.

25:30

>> People seem to think it's like traffic

25:32

tickets, but no, it's like raffle

25:33

tickets. The more you have, the more you

25:35

win. That's how it works.

25:36

>> It's a 50/50 raffle. Exactly.

25:38

>> Exactly.

25:39

>> Well, I think for for one thing, like

25:41

the models have gotten so much faster.

25:43

So the GPT models, which I only really

25:45

use those. I don't really use anthrop

25:47

anthropic models have always been fast

25:48

but now they're fast enough that you

25:50

don't really have to do the whole

25:51

paralyze thing like you don't you don't

25:53

feel like you're wasting 10 minutes if

25:55

you prompt and then just wait for it

25:57

like used to it took so long you kind of

25:59

needed something else going on.

26:00

>> Uh so I've I've stopped the parallel

26:03

stuff. I'm not trying to do anything

26:04

like that and just kind of focusing on a

26:05

single task. Uh getting on Discord like

26:08

we've just got so much going on in our

26:10

team channels now we've grown that we're

26:12

20 people or whatever. Uh so in between

26:14

prompts I can kind of catch up with the

26:16

team or do stuff that I need to do on

26:17

the open source side. That that's been

26:19

the healthy approach I think is just not

26:20

trying to like just having a perspective

26:22

that like more code being slung into the

26:26

codebase is not more productive. That's

26:28

not the goal. Uh because you start to

26:30

kind of feel like how much can I output

26:33

or how much can I churn? How big of a

26:36

diff can I create every day? uh that

26:39

kind of you know it like in your right

26:41

mind you know that that's not it but

26:44

like in the middle of it for some reason

26:45

that starts to become this like game you

26:48

feel like there's this super it's Gary

26:50

Tan on on Twitter like you just start to

26:51

you can relate with uh or I can relate

26:54

with all the things he says where you

26:56

can just see the AI psychosis so clearly

26:58

like start to feel so powerful like I'm

27:00

amazing

27:01

>> I'm going to need a new USBC cord that's

27:03

how I'm going on this thing

27:05

>> a lot of tokens that was going to be my

27:07

followup question actually Casey was how

27:09

many USBC cords did you go through

27:11

during that

27:14

>> I don't even know if Adam gets the joke

27:16

>> I don't actually yeah now I feel really

27:18

embarrassed

27:18

>> I don't think it was while you were

27:20

offline but there's a great

27:22

>> which we still are trying to determine

27:24

we cannot figure out is it satire or not

27:26

we don't know um but Gary Tan made a

27:29

post about how like guys

27:31

>> burning through so many tokens with

27:33

clawed code over here and my USBC cable

27:37

burned turned up. Does anyone know what

27:38

the rating is for tokens on these bad

27:41

boys?

27:42

>> I have I uh I luckily have it actually

27:44

on quick pullup on the app that I of

27:47

course vibe coded. I have my own Gary

27:49

section and this is it right here. Is it

27:51

possible I use quad code so much somehow

27:53

my USBC connectors burned out on my

27:56

MacBook Pro. Two of mine are dead and

27:58

won't charge and now the third maxes out

27:59

at 15 watts. Now I'm afraid my code

28:02

Tamagotchi is about to die.

28:05

So, you know, Adam, maybe you didn't go

28:08

far enough into AIS. Maybe maybe you

28:12

only saw the first the first circle of

28:14

AI psychosis.

28:16

>> Gary Tan is down there in the center.

28:18

>> Yeah.

28:19

>> The only problem with my current

28:21

perception of Gary is I don't think

28:23

anybody is smart enough to write satire

28:25

that good. So, I don't understand. I

28:29

don't understand. It's Anyways,

28:31

whatever. Um, so there you go.

28:35

>> There's only few world famous comedians

28:37

and I just don't know if he is He's one

28:39

of them.

28:39

>> That's what I'm saying. Like I just

28:42

Yeah,

28:42

>> he showed up in the lobster suit, dude.

28:45

>> That's true.

28:46

>> I mean, I don't know. Maybe he's like

28:47

way further ahead than we think in terms

28:49

of the comedy cycle.

28:51

>> Yeah.

28:52

>> Anyway, uh, so here's a here's a stupid

28:56

question for you, Adam.

28:58

Like are you guys gonna add something to

29:02

open code that's like if you would like

29:04

to turn this on this is an AI psychosis

29:07

detector. Like it's like we will we will

29:10

put up a thing that's like warning you

29:12

have freaking five instances of this

29:14

thing running and it's been going for

29:16

over 24 hours and we are very worried

29:19

that you need to like see a psychologist

29:22

right now just you know no judgment just

29:24

trying to tell you.

29:26

>> Yeah. Yeah, it's like the old Wii popup

29:28

like maybe you should go outside now.

29:29

>> Yeah,

29:30

>> take a break.

29:31

>> Um I'm not really joking. I was just

29:33

like in all seriousness.

29:34

>> It's actually brilliant. Yeah, I don't

29:36

think we've talked about it, but uh

29:38

given my history with it and the damage

29:40

it did to my mental health, I it's not a

29:42

terrible idea. I kind of like it.

29:43

>> It seems like, you know, as long as it's

29:45

optin, I can't imagine people would

29:47

complain, right? Like

29:49

>> it's like, hey, you turn way to like

29:51

>> there needs to be a way to like vote for

29:53

your friend that it gets turned on. So

29:55

like if you know like nine of your

29:57

friends like suggest that it gets turned

30:00

on for your account then it turns it on

30:02

for you.

30:03

>> Okay. So open you have to put in like

30:05

your your ex handle and Twitter it'll go

30:08

like crawl to see who your friends are

30:11

and it'll it'll look to see if they

30:12

start saying things and it'll go like

30:14

okay we're we're turning on the AI

30:15

psychosis detector for you.

30:17

>> Uh yeah.

30:19

>> Okay.

30:20

>> Have we thought about just asking the

30:21

AIS if they have

30:23

>> Yeah.

30:25

Is is so is it hard working on a AI

30:30

product when you have to detox from AI?

30:33

Cuz like it's kind of like it's like

30:35

it's kind of like oh I I was a cocaine

30:37

addict but I have to work at the at at a

30:39

cartel or DA or someone where like

30:42

cocaine's around all the time, right?

30:44

And you're just like I wanted to try and

30:45

get off this stuff but people are asking

30:47

like is this pure, you know, like so

30:49

>> yeah. you know, you know, that that's a

30:50

part that I kind of I feel like I I've

30:52

forgotten that that was definitely part

30:54

of the psychology of that initial

30:57

getting so hard into it because I would

30:58

just tell myself like if I'm not using

31:00

this, why would I expect anyone else to

31:02

use it? So, I kind of like convinced me.

31:03

Yeah. Even if I wanted to write

31:05

something by hand, I would be like, "No,

31:06

I should try and do it with the AI." So,

31:07

I think I did kind of get forced into

31:09

the reliance and the daily usage of it.

31:11

Maybe that led to the obsession. Yeah. I

31:14

don't know. I'm a week and a half in.

31:16

It's a little scary uh that I'm going to

31:19

continue to use these things and I don't

31:21

know exactly what it was, you know, that

31:23

that triggered it in the past.

31:24

>> Are you are you now doing things more by

31:27

hand? Is it or is it still like do you

31:29

still effectively operate the same or

31:31

has any sort of change happened?

31:33

>> I mean the change is is mostly just

31:34

slowing down and and realizing like the

31:37

goal and like what you know what am I

31:39

measuring week to week? What's

31:40

important? It's not I don't know how

31:43

many big PRs I can merge. It's it's more

31:46

like outcome based. So, I've definitely

31:48

slowed down, but I am I'm mostly just

31:50

generating stuff. I'm not writing a lot

31:52

by hand. Uh I'm definitely reviewing

31:54

like I was in the the beginning. I kind

31:56

of got out of that in the middle of the

31:58

psychosis where I wasn't even looking at

31:59

the code anymore. You're just like

32:01

there's no time to read code. We must

32:03

keep going.

32:05

>> Okay. So,

32:06

>> yeah. Oh, go ahead.

32:07

>> Oh, go ahead. You can you can go if

32:08

you're still going along live cuz I was

32:09

going to slightly

32:10

>> I was going to I was just going to say

32:11

like in in my experience is probably the

32:14

person on this call with the second mo

32:16

closest thing to AI psychosis uh at any

32:19

point. Uh or at least like I use the

32:21

models a lot more than Casey for sure

32:23

and more than prime. Uh, like if you

32:26

stop reviewing for like a week,

32:28

sometimes it feels like okay for

32:30

something, but then you look back and

32:32

you're like, why is there 500 instances

32:35

of is record in this codebase? What?

32:39

Well, and it's just literally a

32:40

function. Function is record type

32:43

unknown returns is record type 35. And

32:47

like and you're like,

32:49

>> okay, if it did that,

32:51

>> what else did I not notice in the last

32:53

week? Like if it couldn't even figure

32:55

out that we have a function called is

32:57

record which already we banned from the

32:58

codebase and I wrote like some of these

33:00

I literally have like eslint style rules

33:03

that automatically check the model does

33:05

it so often that I like made something

33:07

be like this function name is banned we

33:09

don't do that function here there there

33:11

will be no even if there's an actual

33:13

reason to check for is record we don't

33:14

do that here um

33:17

>> well I'm wondering there the

33:20

>> the goal here I think originally was

33:24

they're trying to pro provide a tool

33:26

that does what programmers generally do.

33:30

And so they looked across the code bases

33:32

and were like, you know what, most

33:33

production code bases have about 15

33:35

functions called is record and they all

33:38

do the same thing only some of them may

33:40

have slight differences so that you

33:42

don't get exactly the same depending on

33:43

which one you accidentally called. So we

33:46

here you go guys, we've delivered to you

33:48

exactly what you wanted. Something that

33:49

produces code just like you write. Yeah,

33:52

it does. In a way, it kind of does feel

33:55

like the AI is the most human when it's

33:57

[ __ ] Yeah.

33:59

>> Yeah. It's like, yeah, that probably

34:01

happened in the base code base of this

34:02

thing red, right? Like,

34:04

>> yeah.

34:05

>> Um, but so, but the so like from my, you

34:07

know, from my side, like Adam, I'm

34:09

wondering if a lot of it now is more

34:11

like

34:12

>> it's just about like as a human, I can't

34:15

focus on 10 things deeply at the same

34:17

time like right. So like when I thought

34:19

I could do like if you thought you could

34:20

run 10 agents simultaneously focus all

34:22

them deeply like that doesn't really

34:24

that doesn't make sense with my

34:26

experience or like the people that I

34:27

know. So then it's like

34:30

is it just that now you feel like your

34:31

brain it stays turned on the whole time

34:33

you're focusing on one thing like even

34:35

though maybe the LLM still writing a lot

34:37

of the code for certain tasks like

34:40

that's the main difference like that's

34:42

I'm trying to sort of piece out where

34:44

you think like that that's the

34:46

distinction. Uh, man, I don't know. The

34:49

the the tell for me is like I sleep

34:52

fine. So, I don't know exactly

34:54

>> like when that would go if you know what

34:56

would be the first signs I would notice

34:58

that I'm slipping back into it. You guys

34:59

had me a little worried to be honest now

35:00

that I've talked through the whole

35:01

thing. Like I'm a little a little on

35:03

edge that

35:04

>> we'll be on the lookout for you. Don't

35:05

worry.

35:05

>> Yeah, please do. That's the other thing.

35:07

I don't know like nobody really said

35:08

anything to me. I don't remember people

35:10

being like, "Hey, I think you have a

35:11

problem with this AI code." To be fair,

35:13

we couldn't see what your sleep uh

35:15

schedule was if you share me your uh if

35:17

you share me your Google Fit analytics

35:19

or something. I can be on the lookout

35:20

for you.

35:20

>> That's right. We'll monitor your sleep

35:22

your sleep schedule and and email you a

35:24

big brother.

35:26

>> I'm just going to do a quick I'm just

35:27

going to take a quick 15 hours to build

35:29

a quick agent to be able to monitor you

35:30

if that's a deal for you.

35:32

>> Yeah.

35:33

>> Um so I actually I do have some real

35:36

questions which is you know

35:37

>> what was what WERE OUR QUESTIONS? OUR

35:40

OUR QUESTIONS. I WAS ASKING REAL

35:42

QUESTIONS.

35:43

>> OKAY. I have realer questions, buddy.

35:45

All right. These are some real

35:46

hard-hitting questions. Um, okay. Real

35:49

question here coming in hot. With

35:52

>> with your life, your life is a bit

35:54

unusual. And I'm not just talking about

35:56

being a vegan. Like if you look over a

35:58

lot of the people between the ages of 22

36:00

to 30 right now, they don't have uh

36:03

they're not married. They don't have

36:05

kids. They don't have kind of this kind

36:07

of more wellestablished kind of road.

36:09

They don't have muscles. They don't they

36:11

eat red meat regularly. They're probably

36:13

on ad roll. They don't have like a lot

36:15

of um

36:17

>> they don't have this person.

36:20

This is like 85% of the valley, right?

36:22

I'm like spot on calling on.

36:24

>> So far, this is a real question. This is

36:27

>> I love how my my questions were just

36:29

these fake fake loser questions and the

36:32

crime comes in with this description of

36:34

the average person

36:37

I don't even know where I don't know

36:39

where is that is Nebraska is it Silicon

36:41

Valley where where is that person eating

36:43

red meat no has no muscles or just a fat

36:46

blob but oozes along the the ground like

36:50

what what what is this idea what the

36:52

valley's like anyways

36:54

>> can somebody please take what he just

36:56

said feed it into like midjourney and

36:59

see what comes out as the drawing and so

37:01

we could post it here right to see WHAT

37:04

WHAT IS FRANK TALKING ABOUT.

37:06

>> OKAY, I want it I want Prime's question

37:08

though just if someone can in the

37:10

comments leave the LinkedIn version of

37:13

this question

37:16

all saying they want versions. I want

37:18

like a cartoon version where it's like

37:19

the drawing in the in the guitar music

37:21

like drawing the person as I speak.

37:23

Okay. So, this like the average the

37:26

average developer right now does not

37:28

look like your life. Like I'm just going

37:30

to throw that out there. I don't think

37:31

the average young person typically has

37:32

this type of life, a house, stability,

37:35

family, kids, all that kind of stuff,

37:37

right? Just all all by statistical

37:39

purposes, everyone is getting married

37:41

significantly later, having kids way

37:42

later. How do they and also friendships

37:45

are completely like cratering right now.

37:48

So, how do they have the same people

37:50

that can speak into their life or how do

37:52

they recognize that they're in

37:54

psychosis? Like, what is your advice for

37:55

somebody who right now is jacked out of

37:58

their mind Silicon Valley vampiring

38:00

right now, but they have nobody to speak

38:02

into their life? Like, what would what

38:04

would you say or how would you say for

38:05

them to recognize that they're in a bad

38:07

place?

38:08

>> Uh, man, I mean, to recognize it, I

38:12

would say, yeah, it's it's looking at

38:14

your your health. Are you abandoning

38:16

habits you had before? This is basic

38:17

like addiction stuff. Uh if you're like

38:20

choosing to do this to to send prompts

38:24

instead of, you know, working out or

38:25

whatever you were doing before that was

38:27

healthy, that's a problem. Uh in terms

38:30

of like how it play, I mean, I didn't

38:32

have somebody intervene. I just kind of

38:33

like it ran its course. Like

38:36

>> you said you had your wife be like,

38:37

"Bro, you're not sleeping anymore and

38:38

you're bringing your you're bringing

38:39

your laptop to bed. I don't really like

38:41

this."

38:42

>> Yeah. And once we stopped that, once

38:43

that became like, no, we're not going to

38:45

have we're not going to have that going

38:46

on. I think it did start to get a little

38:48

better. Uh, but it didn't really prevent

38:50

the burnout. Didn't prevent me crashing

38:52

pretty hard because I mean, I stay here

38:54

for eight hours a day. It's the it's the

38:55

cocaine thing. It's like I am going to

38:57

go to work today and like that's going

38:59

to be an exposure that is going to keep

39:01

the thing going. So, I don't know if

39:03

like if intervention is a thing that's

39:06

all that because like for every one

39:07

friend that if you did have one that

39:09

told you, "Hey, I think you're going a

39:11

little hard on this." you can find like

39:12

10 people online that are like, "No,

39:14

man. You're not you're not going hard

39:15

enough. Like, you got to go harder." Uh

39:18

because it's very much a culture right

39:20

now. And I think like that that typical

39:22

especially if you're talking about a

39:23

developer from Silicon Valley, like I

39:24

think they're immersed in a a group that

39:26

thinks this is

39:27

>> this is how work looks now. Y uh so

39:30

yeah, I don't know. I think it just kind

39:32

of has to play its course. I don't

39:33

really know that you're going to get

39:34

talked out of it.

39:36

do a post, tag Ryan Flurry and see if he

39:39

says delete your account in the reply.

39:41

Like that's a pretty good metric of

39:43

>> I would be I would be honored. Yeah. You

39:45

know, and like that would be my like if

39:48

he says that's chill, you're good. You

39:50

don't have it.

39:52

>> Yeah, that's a good point.

39:54

>> Yeah,

39:54

>> that's a good point.

39:56

>> Just put CC Ryan Flurry at the end of

39:58

your tweets. And and if he replies,

40:01

"Delete your account." Then you know you

40:03

got

40:05

>> psychosis done.

40:08

>> The official diagnosis.

40:10

>> I would say I would say

40:11

>> you go to the doctor and you're like,

40:12

"Uh, sorry. I just I got to delete your

40:15

account from Ryan Flurry today. I'm I'm

40:17

worried that I'm really in trouble like

40:19

that. My

40:23

>> I I'll I'll give you I'll give you

40:25

another test of maybe a more serious one

40:27

that I think you can do. If you find

40:29

yourself agreeing with everything

40:33

someone who has a large monetary

40:36

incentive reason to sell you on, right?

40:39

Like, oh, Anthropic says all of software

40:42

dev is cooked in six months from now.

40:45

There will be no reason to have skill.

40:48

And then you look at their website and

40:49

they're spending a bunch of money hiring

40:51

people and you say, "But I agree with

40:53

what they're saying in the in the in the

40:56

pitch. That's like a good that should be

40:58

a little at least tickle in the back of

41:00

your mind that like hm maybe the

41:02

billions of dollars that they have on

41:04

the line are an incentive for them to

41:06

mislead me and make me be in a bad you

41:09

know I think that that's like that's an

41:10

easy one to see online if you're

41:12

agreeing with everything Daario says

41:14

that's bad guys that's bad

41:17

yeah there's definitely a flavor of it

41:19

like there's a flavor of the psychosis

41:20

these types that I don't I don't

41:22

understand really like what would

41:25

motivate someone to be so like uh

41:28

aligned with technology in general. It's

41:30

like

41:31

>> if you try to say anything bad about AI

41:33

or about you know what's going on with

41:35

the big model labs like they're there to

41:37

defend and they're just like this random

41:39

account on X like they clearly have

41:41

something going on in their brain.

41:42

>> Uh just like technology enthusiasts or

41:45

something and maybe this predates the AI

41:47

psychosis. Maybe this was going on.

41:49

>> Oh yeah, it happened with like Vim and

41:51

and programming languages. Defending

41:53

technology has happened forever. like

41:55

this is definitely nothing new, but I

41:57

will say that the uh the ferveny of it

42:00

is is unique in the sense that uh with

42:03

like zero zero is a good good example of

42:04

this. There was somebody in the comments

42:06

was like, "Man, zero's awesome. I can't

42:09

wait to try it." It's just like, "Okay,

42:12

how can it be awesome and you've never

42:14

tried it?" Like, there is like something

42:16

so broken to this entire idea. Like,

42:18

this doesn't make any sense. Like you're

42:19

so glued to whatever they send you that

42:22

you're like, "This is the best thing

42:24

ever. I will now try it and it will be

42:25

the best thing ever." Right? Like that

42:27

is definitely some form of reality mis

42:29

misststepping there.

42:32

>> Uh I have a question.

42:35

>> Is it also is it a real one, Casey, or

42:38

is it just kind of like a throwaway? No

42:39

fake. It's a it's only a half and half

42:42

question since cuz I don't really know

42:44

like this is not my this is not my these

42:48

are not my monkey circus right like

42:51

there this is a whole I don't know

42:52

anything about any of this right

42:54

>> but I wanted to ask like would it also

42:56

be a good sign since we're talking about

42:58

signs

42:59

>> if you start really getting excited

43:02

about the Gstack

43:05

>> so would that be a good would that be a

43:08

good sign that maybe you've gone to if

43:09

you're like oh my god of the Gstack.

43:12

>> Is anyone really excited about that?

43:14

>> I don't know, but I feel like

43:16

>> I mean, that would definitely

43:19

>> I I mean, I have I have received not

43:21

just one, but we're talking about dozens

43:23

of comments being like, "This bro is

43:24

just angry because his skills have been

43:26

reduced down to an MD file that Gary,

43:29

you know, like that kind of stuff." So,

43:31

>> okay. All right. Well, okay. But to be

43:33

fair, like for you,

43:37

>> I mean, yeah. I'm just saying for me

43:38

it's okay, but like Casey, he he can't

43:40

reduce him down to an MD.

43:42

>> I think uh why is there no PAC prime?

43:45

Why Why haven't you made a

43:47

>> No, you're going about this all wrong. I

43:49

>> I'm not even joking. Why have you not

43:51

made a competitor to the Gstack called

43:53

PAC on stream? I would watch the heck

43:55

out of that.

43:56

>> Okay, to be fair, I am in the process

43:58

and I've been experimenting for the last

43:59

couple months making Prime Agent.

44:02

>> Okay, there we go. That's all I want to

44:04

hear. That's all I needed to hear. Yeah,

44:05

it's it's a different it's a different,

44:07

you know, take on the whole thing.

44:09

>> Okay.

44:09

>> I would also say it's uh finding like

44:13

the P stack is not as sort of like

44:15

mythical as finding the G stack.

44:18

>> Okay.

44:19

>> So, it's

44:21

Yeah, less to brag about.

44:22

>> Yeah, it's not that big a deal.

44:26

I I said I I couldn't imagine people I

44:28

think I'm just not imagining programmers

44:30

who are like taking Gary Tan seriously,

44:32

but there probably is a group of like

44:34

business pros, like the non-technical

44:36

folks that are like Gary's on to

44:38

something and and they probably are

44:39

impressed. So, yeah, that would be a

44:40

that would be a tell.

44:42

>> So, uh I guess like we we should

44:45

probably wrap up here, right? I mean,

44:47

Adam, what's uh what's the closing? Like

44:50

what's

44:51

>> I guess your your takeaway kind of

44:52

sounds like you're not sure yet. Like

44:54

it's like it's like we're kind of just

44:56

in the early stages of this and like

44:57

you're gonna come on in six months and

44:59

tell us what actually happened. I guess

45:01

sort of.

45:02

>> Yeah. I mean I think Yeah. I think my

45:04

particular story is still being written.

45:06

Uh it's possible.

45:08

>> It's possible. I fell back into it. I

45:10

just imagine it though like the hype

45:11

cycle like the

45:13

>> I just imagine that's kind of what

45:14

everybody goes through. you go through

45:15

this crazy peak where you're like this

45:17

is god technology and then eventually

45:19

you fall off and now I'm on that slow

45:21

steady climb of trying to figure out how

45:22

to make this stuff actually help me

45:24

dayto-day. Uh so I I think that's the

45:27

long kind of healthy journey I'm on

45:29

right now. That's my hope.

45:32

>> I think you're going to do great Adam.

45:33

>> Yeah, thanks T. Appreciate that. Boot up

45:36

the day.

45:39

V coating errors on my screen.

45:43

Terminal coffee

45:46

and

45:48

living the dream.

Interactive Summary

This episode features developer Adam.dev discussing his experience with 'AI psychosis', a state of intense, obsessive, and often sleep-deprived engagement with AI coding agents. Adam shares his journey of how he became addicted to the dopamine loop of AI-generated code, eventually leading to burnout, and his subsequent five-week recovery period offline. The participants also discuss the broader culture of AI obsession in Silicon Valley, the tendency for developers to form irrational attachments to specific models, and the importance of maintaining a healthy, outcome-based approach to using AI in software development.

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