1/12/2026 - The Power of Intentional Creation and Escaping the Creative Zombie State

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0:01 Up you go.
0:03 Up you go.
0:06 Up you go, buddy.
0:08 You coming.
0:27 Let us be love. marry half of together.
0:35 I've got some real estate here in my
0:38 bag.
0:42 So, we bought a pack of cigarettes
0:46 and Mrs. Wagner's pass.
0:49 And we've all come to look for America.
1:22 Kathy, I said as we boarded the ground
1:25 in Pittsburgh,
1:28 I've got some Wait, Michigan seems like
1:32 a dream to me now.
1:48 If you get here early, sometimes you you
1:51 get to enjoy the excitement
1:55 of me not
1:58 remembering
2:00 how to play a song.
2:02 Dr. J gets to see it. A serious eater
2:05 gets to see it. Who else? Steo. Steo
2:09 logs in from Australia to watch me
2:12 forget how to play a song. It's Listen,
2:16 some people go to Led Zeppelin concerts.
2:18 Well, used to
2:22 some some people go to Tenacious Derts.
2:26 Well, this channel is probably more like
2:28 Tenacious D. My brain's not working
2:30 good. I I I my skin is feeling like I'm
2:34 about to get sick.
2:36 And I don't get sick that often, so I
2:38 don't like it.
3:04 Yo, Source Camp, what's happening? Oh,
3:07 and I got a haircut and it's kind of a
3:09 shitty hipster 20s haircut. So, I should
3:14 really grow a soul patch and like
3:17 sideburns and just try to be a hipster
3:19 for a month. But
3:46 Sitting in this lonely town.
3:49 >> Wonder when things are going to change.
3:54 Dream away.
3:56 Seems these dreams have turned to a
3:59 bunch.
4:02 Get my love up, but my past is pulling
4:06 me down.
4:10 Wondering how long
4:13 black she going to stick around.
4:20 Somebody told me once before he said you
4:22 can never go home again.
4:25 Won't you leave
4:28 things to steal me away? Yeah. From the
4:32 truth of who I am and what I believe. So
4:35 I thanked him for his two sins with a
4:38 handshake
4:39 and some sympathy. Yeah. I packed up my
4:43 blue jeans and I headed for this big
4:47 prize
4:49 of my freedom.
4:53 Bye-bye
4:54 black sheep to the black sheep of the
4:58 family. Yeah. Bye-bye.
5:04 Oh, it means so very much to me. Yeah.
5:08 Bye-bye
5:12 to my friends and my family.
5:16 Bye-bye.
5:19 Going to set my soul.
5:27 Set it free.
5:35 Oh, there's a whole second part of that
5:38 song. It's too high for me to sing.
5:41 I just don't do it. I just don't do it,
5:43 people. I'm I'm not going to do it. I'm
5:45 not going to do it. I'm not gonna Hang
5:47 on. I got to I got to I got to adjust my
5:51 sunlight. My sunset sunset sunlight
5:54 coming into the office.
5:59 All right, let's flip the cameras. Let's
6:01 flip the cameras. Do the black blah.
6:03 Someone got a haircut. I know. I got a
6:05 haircut. I got a haircut. Oh, look. He's
6:09 trying to look like a hipster. What does
6:12 he think he's 20 years old? Oh, what's
6:14 that line? That line in a
6:20 in a westerly direction.
6:24 This car is my train.
6:28 I've been driving. I've been wondering
6:32 what it is I'm running from again.
6:37 Feel like an 80-year-old man
6:40 holding on to 29.
6:43 There you go. Feel like an 80-year-old
6:45 man holding on to 29. This is that 29
6:49 haircut. Oh yeah.
6:54 Mimi likes it. Mimi likes the sunset and
6:57 the haircut. Very nice.
7:54 through blue telescope.
7:58 Looking at the world tonight
8:01 through a blue telescope.
8:04 Wish I may wish I might not see what I
8:08 see.
8:10 Sheet metal on sheets of glass.
8:19 What's that?
8:32 That's a pretty pretty song. Depressing
8:34 as [ __ ] but you know what are you going
8:36 to do? Might need to get one. Brings me
8:39 joy. Oh, the uh the backlight. Oh, wait,
8:42 hang on, hang on, wait, hang on. Silverf
8:45 Fox got to shoot. Silverf Fox will be
8:47 back. We can start this. We can We're
8:50 going to wait. We're gonna wait. That's
8:52 That's the kind of executive decisions I
8:54 like to make around here. I'm in the
8:56 driver's seat. I'm driving. We're going.
8:58 Silver Fox taking a break. We're going
9:00 to pause. We'll play We'll We'll play
9:02 another fragment of a song you've heard
9:04 37 times or never if you've never been
9:07 here before. Um
9:13 Kyle likes sad songs. I do.
9:25 You know, it's funny. When I hear happy
9:27 songs and like driving songs and like
9:29 dance songs, I'm like, "Yeah, that's
9:32 cool. I should I should learn some of
9:34 those." And then I hear sad songs and
9:36 I'm like, "I have to listen to that
9:38 every day for the next three years and
9:40 then I'll learn it on the guitar and
9:42 sing it for the next decade." Just
9:45 something about how this old brain
9:46 works.
10:02 10,000 words swarm around my head. A
10:06 million more in books written beneath my
10:09 bed.
10:14 I wrote a red mo searching in the
10:17 swamps. Still can't find how to hold my
10:20 hands.
10:26 I know you need me in the next room
10:29 over. I'm stuck in here. I'm paralyzed.
10:37 For months I got myself in breath. So
10:41 much time spinning mirrors framed in
10:44 yellow walls.
10:46 Almost at it.
10:50 Ain't it like most people? I'm no
10:53 different. Like to talk on things we
10:55 don't know about.
11:01 Well, ain't it like most people? I'm no
11:04 different. Like to talk on things we
11:06 don't know.
11:10 I'm definitely getting sick. The vocal
11:12 cords The vocal cords are randomly
11:15 closing.
11:18 I think that was a full step off. That
11:21 note was not even [ __ ] close.
11:25 You need to get your son this guitar.
11:27 This is a great guitar. This is a guild.
11:29 This This I think I've told this story
11:31 on here. This guitar, it's a Guild
11:35 D32AB.
11:37 Bought in 1987. Why do I remember that
11:40 year?
11:42 Cuz that was the year I graduated from
11:43 Penn State and I got hired as the jester
11:46 for the Pennsylvania Shakespeare
11:48 Festival in State College, Pennsylvania.
11:51 And they paid me $1,100 in cash.
11:55 I bought a $400 mountain bike and a $700
11:58 guitar cuz I'm good.
12:01 But I still have the [ __ ] guitar. I
12:03 snapped the bike in half in New York
12:06 City. Gild D32AB. Yeah, that's it. I
12:10 have never in my life I have never found
12:13 a guitar that sounds as good as this
12:15 guitar. There's something about the
12:29 It's It's got
12:33 just such beautiful bass
12:37 and then the highs are
12:40 clear, but they're they're mellow and
12:43 just really well balanced.
12:50 I need to get it set up. I've got
12:54 all of my frets have string lines in
12:57 them and the action's too low and
13:02 I've like banged it. Like the whole
13:04 bottom of it is just this is all like
13:06 screen doors like walking out of screen
13:08 doors and the screen door goes whack.
13:14 Oh man,
13:21 he has a few and they don't come close.
13:22 Yeah, it this this really is this guitar
13:25 is something. And then my seagull that I
13:28 have doesn't sound great acoustically,
13:30 but I have a uh an acoustic amp. And
13:33 when I plug that thing into an acoustic
13:35 amp, it sounds like otherworldly. But
13:39 this one's just
13:50 Yeah, these things these things from the
13:52 late 80s. There was there was something
13:54 about the run of these in the late 80s
13:56 that they were just really good. I've
13:58 had guitar people tell me that.
14:03 I mean, this is a better guitar,
14:05 frankly, than I deserve. I've also got a
14:07 cracked headstock that needs repaired.
14:10 This thing probably needs
14:12 $1,500 or $2,000 in in repairs and
14:16 updates and refinements, but in the
14:19 meantime,
14:20 champion can sing to it.
14:37 Oh, that's very nice, Mary. Mary, you
14:38 deserve, Kyle. you deserve. Thank you.
14:46 You know, it's funny working on this
14:48 daily practice. So, if you're new here,
14:50 I'm Kyle Shannon. This is the AI
14:51 learning lab. Sometimes we talk about AI
14:53 stuff here. Sometimes we talk about
14:55 philosophy, sometimes music,
14:59 occasionally AI,
15:01 and what's going on.
15:04 But for the past, well, for the past
15:07 three months,
15:09 I've been leading with Liz Miller
15:11 Gersfeld the AI salon mastermind
15:13 practice uh the practice lab where we're
15:17 we're working with members of the
15:18 mastermind to start daily practices.
15:22 And
15:25 it's not easy.
15:28 It's not easy. But
15:32 actually, it is easy.
15:37 Come to think of it, you can just do it.
15:41 You can just choose to write [ __ ] down.
15:43 You can just choose to
15:46 be intentional. That said, when you
15:49 start doing that, things come up. You
15:52 start to notice things. So, I've had a
15:54 lot of breakthroughs. And
15:58 breakthroughs to me always sound like,
16:00 "Oh, it's awesome. You had a
16:02 breakthrough."
16:04 But in the word breakthrough is the word
16:06 break.
16:08 And there's a companion word for
16:11 breakthrough, which is breakdown. Um, so
16:14 a lot of breakthroughs come with like,
16:17 well, [ __ ] how am I supposed to be? or
16:19 I'll have awareness like like I had
16:21 awareness I don't know six weeks or so
16:23 ago
16:25 that I build things and then I get in
16:27 the in the back seat and I let other
16:29 people drive them and then I resent that
16:32 the other people aren't driving them
16:33 like I would drive them. It's like
16:35 that's absolute [ __ ] insanity. So you
16:38 have that awareness and you're like aha
16:41 I've got it. I got it figured. I got
16:43 this life thing figured out. I just need
16:44 to get in the driver's seat. And then
16:47 you realize you haven't been in the
16:48 driver's seat in 60 [ __ ] years.
16:52 And like when you're in it, it's like
16:54 obvious. You're like, "Oh, this is good.
16:56 This is good." But but then there's
16:58 other times like I don't think I want to
17:00 be up there. Um
17:03 so so doing the daily practice is weird.
17:05 But let me see. I'll try to catch you up
17:09 on my weekend. My Saturday
17:12 I did nothing.
17:14 And
17:19 I just bullied myself.
17:23 So like, so there's there's there's
17:26 choosing to do nothing. There's like
17:28 intentional take a break, right?
17:32 I'm going to declare I'm going to take a
17:34 break.
17:36 And then you do that. And then there's
17:39 not doing something
17:41 and then having the internal bully
17:43 going, "Hey, uh, shouldn't you be doing
17:45 that thing? Is Isn't it time to start
17:47 that thing? It's probably time to start
17:48 that thing. You're going to start that
17:49 thing, right? You're going to start that
17:50 thing." So, all day Saturday was myself
17:54 bullying myself.
17:58 The mastermind has helped me um in ways
18:01 I didn't even realize I needed. Well,
18:03 that's the thing I'm finding source camp
18:05 is this. it like
18:08 one of the things that's happening as a
18:10 result of the mastermind, one of the
18:12 things that I'm hearing from mastermind
18:14 members consistently, and you might have
18:16 been one of them that said it, in fact,
18:18 Kelly, is, "Oh, I'm going to slow down.
18:24 I'm going to not do as much." It's like,
18:27 you know, for for a community and a
18:30 channel that was founded on let's go,
18:31 go, go, go. Let's be the first ones. hit
18:35 the beach running. Let's go.
18:38 We're coming to this moment of like,
18:40 yeah, those those tools are incredible
18:42 and there's this other thing and we got
18:44 to bring those two together.
18:46 So, that was my Saturday. My Sunday,
18:50 I watched a couple of the playoff games.
18:52 They were really good football games,
18:53 but I don't really give two shits about
18:55 football. I mean, I like it. And the
18:58 Broncos are uh Broncos are playing the
19:01 Bills. my my sales guy for Story Vine,
19:03 he's in Buffalo. So, Buffalo's coming
19:06 out here to Denver to play uh play a
19:08 little playoff football next weekend.
19:11 So, we'll have some we'll have some [ __ ]
19:13 talking fun. So, I did that on Sunday. I
19:17 did a little bit of work on Sunday,
19:19 but I was more present. I was more
19:22 present and thinking about things. And
19:25 so I went to bed last night and I woke
19:27 up this morning
19:30 and I don't know if this is familiar to
19:32 anyone.
19:34 I
19:38 So when I first started this channel,
19:40 remember when we were we were all trying
19:43 to figure this [ __ ] out and like every
19:45 night was like, "Holy [ __ ] it can do
19:47 that. Wait, can it do this? Can it do
19:49 that?" And we're all like just [ __ ]
19:51 struggling to try to get our heads
19:53 around what's even possible.
19:55 And I remember for like the first year
19:57 of this channel Tik Tok pin um on that
20:00 note slowing I just became a lovable
20:03 ambassador had meeting
20:06 this
20:08 this AM now it's go go that's that's
20:12 awesome Corey um both Brandon and I are
20:14 lovable ambassadors and I think Vicki is
20:16 as well. Um, so so you you're amongst
20:20 good good company there. And in fact, I
20:22 think I'm going to do some lovable vibe
20:24 coding tonight.
20:26 Anyway,
20:28 um
20:31 I
20:33 I woke up this morning.
20:36 Oh, so in the early days of of the AI
20:39 stuff, like we were trying to figure it
20:41 out and like I was I was constantly like
20:43 24/7 in problem solving mode. And so I'd
20:46 go to bed at night thinking about, wait
20:48 a minute, how could I prompt that thing
20:49 to get that thing with the thing with
20:51 the thing? And I would wake up in the
20:53 morning like, okay, okay, I got it. I
20:55 can if I do that, I can do that. And
20:57 like I would even I remember I had a
20:59 couple of nights where I woke up at like
21:01 4:00 a.m. like bing with some idea that
21:06 I just had to go flip open my laptop and
21:08 go build something with AI.
21:11 And then and then that that's gone away.
21:14 And and I go through these cycles in my
21:16 life where I'm super engaged with
21:19 something intellectually and then I go
21:21 through phases where I'm not super
21:23 engaged intellectually. And when I'm not
21:25 super engaged intellectually, and
21:28 intellectually might not even be the
21:29 right word. Engaged is the right word.
21:32 When I go through phases where I'm not
21:34 engaged,
21:35 I don't dream much and I wake up like a
21:39 [ __ ] zombie.
21:41 Like I wake up and I'm just like, "All
21:43 right,
21:45 I guess I'll go do this now.
21:49 It's [ __ ] awful." And so like the
21:52 last two years for me have been kind of
21:54 this zombie two years. like I
21:56 occasionally do stuff, but this morning
21:59 I woke up
22:01 and I'm still thinking about this people
22:03 centric project management tool and like
22:08 I woke up with all this clarity about
22:09 you've got to do it, you shouldn't do it
22:11 in notion, you should do it in that
22:12 other tool that you're doing, the tool I
22:14 vibe coded in lovable. Um, and like one
22:17 of the things I've been avoiding is
22:19 going back to projects I made in Lovable
22:21 and actually like like risking [ __ ]
22:25 them up, you know, by going back and
22:27 trying to turn them in into something
22:28 new. Um,
22:32 and then when I started thinking about
22:35 all of
22:38 the people that I needed to be in this
22:40 tool that I haven't built yet, there was
22:43 just this whole crazy straw of like,
22:47 well, you just need to go do that. You
22:48 just need to go reach out to them and
22:50 connect with them and do this and do
22:51 that. And it it just turned into this
22:53 whole thing. But anyway, I woke up
22:55 engaged and that was like cool. And then
22:59 um
23:01 we have a nice yard here. So I don't
23:03 have to walk Champy. Champy I can just
23:05 let him out, right? And so when I'm in
23:08 this zombie state, I just don't deal
23:10 with him all that much, right? And let
23:12 the family do it or whatever. Just let
23:14 him out in the yard. And this morning I
23:16 woke up and I thought,
23:19 I'm going to get up and I'm going to
23:20 walk Champion. I've got I had like 20
23:22 minutes before I had a call.
23:24 And so I walked the dog
23:28 and it wasn't like walking the dog when
23:30 I was doing the the AI walking talks for
23:32 Tik Tok.
23:35 I would sometimes walk Champy doing
23:36 that, but that wasn't a walk to walk
23:39 Champy. That was a walk to make a Tik
23:41 Tok,
23:42 right? And so it was this fragmented
23:45 thing. So this morning was the first
23:47 time I really just walked the dog in the
23:50 morning in a while.
23:54 So, and and then it was cool because he
23:57 was super curious and super sniffy
24:01 and then Gabby said he was really happy
24:03 all day cuz he like got to act like a
24:05 dog this morning. Go sniff [ __ ] and
24:07 smell other dogs.
24:10 I get it. Intention. Yeah.
24:17 Yeah. I mean, Corey, you're you're going
24:18 through this, too. you were mentioning
24:20 this, you know, the other day that that
24:28 you can be in the habit of doing
24:30 creative work and not be intentional.
24:36 And that's a that's a weird thing. If
24:38 you're a creator
24:41 and you're creating as a zombie, and I'm
24:44 not saying you are, Corey, I'm saying I
24:45 do.
24:49 It's it's a it's a very different thing
24:51 to create with intention,
24:54 to be present to the idea,
24:58 to not just have any [ __ ] idea and
25:00 just go run down rabbit holes, but to
25:02 go, huh, what do I actually want? Which
25:06 then forces you to go, who am I? Which
25:09 then forces you to go, oh, [ __ ]
25:22 Oh, you can say me. I will tell you an
25:24 honest moment. Okay. Yeah, tell me an
25:26 honest moment. Corey, you I mean you did
25:29 you told me you were sharing with your
25:31 partner and kind of you know realized
25:35 how how you weren't there. I haven't
25:37 been in the pottery studio this year
25:42 cuz I'm not intentional
25:45 and can't
25:48 Oh, do it and can't do it.
25:51 Yeah.
25:52 And I don't think that's a bad thing.
25:55 Like I'm sure the productive habitual
25:58 part of you is like, "Corey, get your
26:00 ass in the studio. You got pots to make.
26:03 There's Do you realize that there's
26:04 coffee cups? There is coffee being
26:06 undrunk because you're not in that
26:08 studio.
26:10 Right?
26:11 That voice I'm sure is loud and present.
26:16 But that's a completely different voice
26:20 to huh
26:23 do
26:25 what do I choose to do? And if you don't
26:28 choose to go into the studio, that's
26:30 okay. It's actually okay. Zombies rule.
26:34 They do.
26:36 I mean, listen, I am a high functioning
26:39 zombie. I I'll tell you that. Like, I do
26:41 have the skill of spinning [ __ ] up and
26:44 getting people excited about stuff. And
26:46 I can be in fullon zombie state and move
26:50 mountains.
26:52 But holy [ __ ] what I'm going to do,
26:55 what I'm doing
26:58 as an intentional creative being is
27:01 going to be it's it's going to be
27:04 transformative for me and for everyone
27:06 around me.
27:08 It's just a it's just a different thing.
27:10 It's just you're tapping into I call it
27:12 the 1%, but it's like it's like it's the
27:14 1% I I I keep back from the world. This
27:18 is mine. This is mine.
27:21 This little 1% here, this little
27:23 precious nugget is my little precious
27:25 nugget. You can't have it. You can have
27:26 all that.
27:30 That precious little nuggets where all
27:32 the [ __ ] power is.
27:56 Standing between
28:00 you and a hard place is insane.
28:06 Standing too near
28:09 you in a fire makes it clear.
28:16 Your trouble to me.
28:22 Real trouble. Can't you see?
28:26 You know that song? I wrote that at a
28:28 songwriting workshop, like a five-day
28:30 songwriting workshop.
28:34 And that song I just wrote on a break.
28:37 It was like a half hour break. And then
28:40 later in the day, we just we were
28:41 supposed to play songs we'd written in
28:43 the past day or two. And I played that
28:46 song and there were there were two
28:47 instructors in our group in our circle.
28:50 And I finished it and there was like
28:52 silence. And then the instructors were
28:55 like, "Did you did you write that
28:57 today?" And I was like, "Yeah, I wrote
28:59 it in the last break." and they're like,
29:02 "Oh,
29:04 oh, that that was good." And then I've
29:07 gotten similar feedback from you guys
29:08 that that song is is a song that really
29:11 speaks to you.
29:15 But that was a song I wrote with with
29:18 really clear intention.
29:25 And it, you know, it I I'll tell you the
29:29 the intentionality thing. I listen to
29:31 Michael Jordan talking about being in
29:33 the zone
29:35 and it's like the zone is the zone.
29:38 Whether you're an athlete or an artist
29:40 or a business person
29:44 or you know cooking [ __ ] in the kitchen
29:47 or being in the pottery studio
29:54 if you can take a moment to be present
29:57 and then start your craft.
30:01 It's funny there's like there's two
30:03 mindless states that now that I'm
30:05 thinking about it. There's kind of these
30:06 two mindless states. One is this
30:08 habitual mindless state,
30:12 which is this zombie- like repetitive
30:15 I'm going to do what worked before and
30:18 expect different results kind of
30:20 creativity.
30:22 And then there's this other kind of
30:23 mindless state which is the zone which
30:26 is where you start with intentionality
30:27 and you're like ah okay I have an idea
30:32 and I'm going to bring that idea to life
30:34 and I'm going to do it in this kind of
30:37 way or that kind of way and and you you
30:39 kind of leap into
30:41 a project or or an idea.
30:44 And if you do it right you go into a
30:47 very different kind of mindlessness.
30:50 It's a mindlessness that was initiated
30:53 out of intention
30:55 and so there's a clear idea behind it
30:57 and that's where the [ __ ] brilliance
30:59 happens. I think that's why you know
31:03 Corey something's striking me right now
31:05 and really for everyone. I have that
31:07 song saved and listen to it a lot. Oh,
31:09 that's very sweet. Silverf Fox.
31:12 I think that this these two kinds of
31:15 mindless creation are why it's so
31:18 [ __ ] creative to why it's so [ __ ]
31:22 um
31:24 confusing to be a creative sometimes
31:27 because when you go into zombie
31:28 mindlessness,
31:30 it looks and feels and functions almost
31:34 identically
31:36 to when you started it with intention.
31:40 like the mindless part where you're just
31:42 creating is identical, but it's the it
31:45 but it's the it's the impetus for it
31:47 that's different. And so I think it's
31:50 why a lot of people create a lot of work
31:52 and they're just like
31:54 not connected to it. It's and and the
31:56 work's just not good and it's because in
31:58 some ways it's just derivative work of
32:01 [ __ ] you've done before. the intentional
32:03 stuff, that's the [ __ ] beaming down
32:06 from the heavens, you know, sucking in
32:08 the energy of the universe and
32:10 amplifying it through your skills,
32:13 right? And your taste and your
32:16 Anyway, so
32:22 want to join a daily practice, you
32:24 should join the AI salon mastermind. In
32:27 fact, throw the uh throw the uh the URL
32:30 up there on screen if you would,
32:32 Brandon.
32:42 Yeah. Community.thesalon.ai.
32:44 Go there. If you're not a member of the
32:46 AI salon,
32:48 go there and join us and introduce
32:52 yourself and say hi. Um, one of the
32:55 things that that we're going to start
32:58 working on, I talked with Andy about
32:59 this this morning. I was talking with
33:01 Brandon a little bit about something
33:02 similar,
33:04 is a lot of the work that I feel is
33:07 really important right now is this stuff
33:09 that's not about tools. It's this stuff
33:11 about really owning who we are as as
33:14 human beings. Um, and using AI to
33:17 amplify that. But there's another piece
33:19 of this which is if you're just getting
33:21 started, there is a need to learn the
33:23 tools. And so one of the things that
33:26 we're going to do is we're going to
33:27 start putting together trainings for if
33:29 you're just getting started, just go
33:30 watch these. The these will get you off
33:32 the starting line. Um anyway, so yeah.
33:36 So that's good. So if you're in the AI
33:38 salon and you're not part of the
33:39 mastermind mind, join the [ __ ]
33:41 mastermind. I'm telling you, come to
33:42 these meetings, start a daily practice.
33:45 It will change some things. And it won't
33:48 be easy and it'll suck and it'll be
33:52 incredible and and you will probably
33:55 cry.
33:58 And then you will probably be elated and
34:01 think you have it all figured out.
34:18 Um,
34:20 I mean, I think walking the dog this
34:22 morning was a big deal
34:24 because it came out of an intentional
34:28 seed, you know. Anyway,
34:33 so that's so my intention for tonight.
34:39 Oh, I'll show you a cool thing that came
34:41 out of some intentional thinking. I'll
34:43 show you a cool thing. Let me let me
34:45 share my screen right now.
35:01 So, here's a bunch of
35:05 images and animations I made for um
35:10 for Sydney, my musical.
35:14 And then we had,
35:17 let's see,
35:21 is this Grock? Let me see. Let me go in
35:23 here. Oh, sorry about that. Grock is I
35:27 asked for a 70s I asked for a 70s jeans
35:30 model and it gave me more than I asked
35:33 for.
35:35 Um, hang on. Let me see if I can find a
35:39 medical breakthrough.
35:47 Where's Imagine?
35:57 Hang on a sec. Let me
36:00 black bar. Yeah, hang on a sec.
36:03 Let me I'm going to turn that off for a
36:06 second. Let me let me go find
36:10 I don't want to show a bunch of TNA, but
36:12 I do want to show some images
36:17 where
36:35 Oh, this is good. Okay,
36:38 so let me show you this.
36:41 Ocean YouTube question. Ocean,
36:45 hi Kyle. Your belief that AI GPT AI and
36:50 GPT is brilliant. However, how soon
36:57 will society be able to support and
36:59 apply it? Also what's the change AI what
37:03 what change will AI do that will change
37:06 us
37:08 that we will look back and wish these
37:11 days come back something that society
37:14 will lose
37:16 something we will gain those are great
37:19 questions um here let me share my screen
37:23 so I got this thing up so I can so I
37:24 remember what I'm talking about but then
37:26 I'll answer your questions in black are.
37:31 Um, so these are just a bunch of uh
37:36 these are just a bunch of designs for
37:38 like a precenium stage
37:42 um for Sydney for like the the corporate
37:44 headquarters of Microte. Like this is
37:47 this is what the stage might look like,
37:49 you know, before
37:52 you know with with people acting
37:54 on it.
37:58 And so anyway, so I'm putting together
38:00 this this podcast and and I'll tell you
38:02 a cool idea I came up with today that
38:05 came out of intentional thinking because
38:08 Andrew and I have both been stuck on how
38:10 realistic do we want to get? How much of
38:12 the set do we need design? How much of
38:14 the casting and characters do we need to
38:16 design? We've been we've been kind of
38:18 tied up in knots about like how far we
38:21 want to take the production value of
38:23 this. So anyway, I'll come back to that.
38:25 Um
38:28 so for you ocean the first question
38:31 you believe that AI is brilliant however
38:34 how soon will society be able to support
38:36 and apply it
38:39 um I assume what you're talking about
38:42 when you say support it is that how how
38:46 soon will it be that AI will support us
38:49 I guess is what you're saying
38:52 and how soon will it be good enough that
38:56 it can just do the work. And I think
38:59 those are two very different questions.
39:02 Um,
39:05 I don't think we're that close,
39:08 but w with the current technology, the
39:12 current technology,
39:14 I would say across the board, whether
39:16 it's movie technology, image generation
39:18 technology, music, chat, GPT, coding,
39:23 like
39:25 Claude Opus 4.5 is probably the closest
39:29 thing we have
39:32 to a level of technology that can just
39:34 do the work. So there there's a fair
39:36 amount of researchers from Anthropic. In
39:38 fact, Anthropic just dropped
39:41 a new kind of model that there's Claude
39:44 Code and now they've taken Claude Code
39:47 and they've added like do other [ __ ] for
39:49 me. I forget what it's called. It just
39:52 launched today and it's it's only out
39:54 for Mac users so I don't have access to
39:55 it yet. But it's basically it's like
39:58 clawed code but for doing other [ __ ] on
40:00 your computer like go organize my files
40:02 or go I don't know find people in my
40:05 Gmail and turn it into a sales strategy.
40:09 I don't know it just stuff other than
40:11 coding.
40:13 Um that entire new product
40:16 was written 100% apparently with with uh
40:21 Claude Opus 4.5
40:24 probably with clawed code right so so
40:27 they wrote an entire new product without
40:30 a human writing a line of code so I
40:32 think we're just just scraping the the
40:36 surface of these tools being good enough
40:39 to even have the conversation I think
40:42 2026
40:44 the dam is going to break that one of
40:47 the model companies or you know one of
40:50 the Chinese companies, one of the
40:51 American companies, someone is going to
40:52 release a model or they're going to
40:54 release a new algorithm that does
40:56 something in a fundamentally different
40:58 way. Um or they just brute force their
41:00 way into it that it's a model of a
41:03 different level. I don't know if you
41:05 follow mathematics
41:07 as a guy with an acting degree. I'm big
41:10 into mathematics. I I know nothing about
41:12 mathematics, but I do know there's this
41:14 guy named Erdos. Is it Erdos? Erdos,
41:18 whatever. There was some mathematician
41:20 dude that basically collected unsolvable
41:24 math problems. Three of them have been
41:27 solved in the past three or four days.
41:30 Three of them and have been accepted by
41:33 this guy Tao or Dao that's that's
41:35 running it now. He he's the one that
41:37 validates these theorems. Three of them
41:40 have been solved with AI in the past
41:42 three days, four days.
41:45 So I think 2026 is going to be the year
41:47 where as humans it will be
41:52 it will be
41:57 if you're paying attention at all, you
41:59 won't be able to live in the fantasy
42:03 that we're going to be necessary to do
42:06 those kind of tasks. And by those kind
42:08 of tasks I mean any knowledge work
42:12 won't be necessary. We may choose to do
42:14 it. People may choose to work with other
42:16 people but it won't be necessary. I
42:18 don't think we've ever faced that
42:19 before. Although when the steam engine
42:22 came out, farmers faced that with
42:25 physical labor, but we've never faced
42:27 that with knowledge work. So I think we
42:30 see that. Um,
42:35 I then think you end up in a three to
42:38 probably a three-year [ __ ] show. So, I
42:41 think we're about to enter just a
42:43 bizarre, weird
42:47 um, a lot of people being displaced,
42:49 feeling like they're valueless, feeling
42:51 like they're hopeless.
42:53 Um,
42:55 you know who else isn't necessary? Siri.
42:58 That's pretty good.
43:01 Um, I've definitely seen a shift in
43:03 public interest. That's interesting,
43:04 Kelly. I called a plumber last week and
43:07 the person who took my call turned out
43:09 to be uh a speaking AI chatbot. Yeah.
43:12 Like like what's going to happen this
43:15 year is it's just going to be like all
43:17 of a sudden you're getting better
43:19 customer service. All of a sudden
43:21 something that really required a human
43:23 to be in the loop. The human doesn't
43:25 need to be in the loop now. And it's not
43:27 just that companies are going to fire
43:29 those people. I think companies are
43:31 going to be slow to this. I think
43:33 companies are going to be like, "Oh, but
43:34 we still need Sally. She's great on the
43:36 phone, right?" Like, like, but what's
43:39 going to happen is startups are going to
43:42 just come in and eat their lunch. Or,
43:43 you know, offer them a service for 50
43:45 bucks a month. You can have, you know,
43:48 unlimited customer support that's better
43:50 than anything you've got. So, so, so
43:52 there's just going to be a lot of
43:54 shakeup.
43:57 Um,
43:59 I think that in those three years of
44:01 chaos, those of us that are aware of
44:05 what's happening and are are curious
44:08 enough to sit on a channel like this and
44:10 just have these conversations, I don't
44:13 think you all probably realize how far
44:16 you are ahead. If you're here listening
44:18 to me with this bad haircut
44:25 um
44:28 you're far ahead because you're curious
44:30 and you're trying to figure this stuff
44:31 out and you're willing to go, huh, well,
44:32 let me think about how would I think how
44:34 would I deal with that? Um, I think
44:36 there's going to be a lot of opportunity
44:39 for people that have a clue about AI.
44:41 And I don't think you need much of a
44:43 clue. Like, like this was like the early
44:44 days of the worldwide web was like if
44:46 you could spell HTML, you could knock
44:49 down $120,000
44:51 a year job straight out of college. Um,
44:54 I don't think that's I I don't think the
44:56 out of college thing here is going to be
44:58 the the thing where people get hired. I
45:00 think it's going to be older people, but
45:01 whatever. But AI literate people are
45:05 going to be in demand for the next three
45:06 years. So I think if you're AI literate,
45:08 you probably have a better shot in the
45:10 next three years of being somewhat
45:12 insulated from the chaos, but not
45:15 entirely. And and if you're in a sector
45:17 where your whole sector gets decimated,
45:19 gets automated out, um you're going to
45:21 have to learn to pivot. So So I think
45:24 there's going to be a lot of people
45:25 forced into entrepreneurship. I think
45:28 there's going to be a lot of people
45:29 forced into
45:32 um career change.
45:35 I think there's going to be a lot of
45:36 people forced into, well, [ __ ] it. Maybe
45:38 I'll start an Etsy channel or maybe I'll
45:41 do this thing or maybe I'll do this
45:42 thing I've always wanted to do. Some of
45:44 it will be positive. All right. So, the
45:46 second half of your question,
45:49 joint statement. Apple and Google have
45:51 entered into a multi-year collaboration.
45:53 Apple basically, we don't know how to do
45:55 this. Google, can you help us? Apple
45:57 Foundation models will be based on
45:59 Google Gemini. Good. Google Gemini is
46:02 good. Apple can put a pretty front end
46:03 on it. Everyone's happy. Fine. Great.
46:06 Awesome. About [ __ ] time. Like, why
46:08 did that not happen two years ago? Why
46:11 did it not happen three years ago? Why
46:13 did Apple that had more cash than
46:15 [ __ ] anyone start their own Frontier
46:17 model company? Anyway, that's a whole
46:19 separate thing. Okay, back to Ocean.
46:22 Also, what's the change AI will do that
46:25 will change us? Okay, so this one's
46:27 really interesting and I don't [ __ ]
46:30 know, but I have I have ideas
46:33 that we will look back
46:35 and wish these days come back. I don't
46:37 think we will. I I listen Ocean, you a
46:41 lot of your questions
46:44 a lot of your questions live in this
46:46 really interesting place where you're
46:48 like, Kyle, I get that you're an
46:49 optimist and all, but isn't this all
46:52 shitty?
46:55 Aren't we going to want to go back? I
46:57 don't think we're going to want to go
46:58 back. Um, but we we happen to be
47:06 I personally feel like this is a
47:08 privilege.
47:10 We happen to be the generation that
47:13 actually understands what life was like
47:16 before AI
47:19 and what life's going to be like after
47:21 AI. We're the transition generation.
47:24 And that probably goes from like Gen Z
47:26 to, you know, whoever's paying attention
47:28 in Gen X or Boomers, right?
47:32 That's a remarkably rare
47:38 thing to experience. You know those
47:40 things where people are like, you're
47:41 just lucky to be alive. Like if that
47:44 little sperm
47:45 and with your generations, they had to
47:47 survive a hundred thousand for you to
47:50 even be here.
47:52 I kind of feel like being alive
47:56 while AI is is
48:00 we're in the the the what is it the
48:02 Cambrian soup
48:05 the evolutionary soup right now of AI.
48:07 We're in it
48:09 and we get to actually watch it be born
48:13 and and this year I think we're going to
48:15 see that it's going to start to do stuff
48:17 that it's clear that it is beyond us
48:20 and it's not necessarily a bad thing
48:23 could be a bad thing but it could also
48:25 be that thing that I mean Elon Musk said
48:29 within three years within three years
48:33 Optimus robots will be be doing surgery
48:38 at scale better than any human surgeon
48:43 anywhere in the world at scale.
48:46 So whatever the capex is for an Optimus
48:49 Prime robot and for a surgery one maybe
48:52 they train them more so maybe they're
48:54 100 grand instead of 20 grand for the
48:56 consumer version.
48:59 They're going to be doing them at scale.
49:01 He says that's within three years.
49:02 within 3 years
49:04 all surgery will be world class anywhere
49:08 in the world. Now Elon Musk is
49:10 notoriously over optimistic. So let's
49:14 triple that. Let's say it's 10 years.
49:17 But in 10 years
49:20 all surgery will be worldclass surgery
49:22 no matter where you are in the world.
49:25 And it'll be like that for all work.
49:31 I think that a lot of the work that that
49:33 we do today,
49:36 if you think about what it takes for
49:38 that surgeon to be in the in the in the
49:40 surgical office, how many jobs
49:44 exist around that surgeon's ability to
49:47 save a life? How many jobs are just
49:50 dealing with the complexity of the
49:52 medical system that we've created?
49:54 Navigating insurance and navigating, you
49:57 know, hospitals and scheduling and
49:59 ordering and like we live in this
50:01 incredibly Byzantine complicated world.
50:04 And there's probably for every surgeon
50:06 saving a life, there's probably I don't
50:10 know
50:13 150 human beings doing all sorts of
50:17 complex work. Some of it is rewarding.
50:20 Like some of the nursing things is
50:21 rewarding, but some of it's literally
50:23 just dealing with the complexity of the
50:25 shitty [ __ ] insurance industry we've
50:29 let be created.
50:33 Like, is anyone that's an actuary gonna
50:35 actually miss the work of like trying to
50:38 find ways to screw people out of their
50:41 getting paid to have their surgery?
50:45 No, I don't think so. So, so I think
50:47 there's going to be some jobs where we
50:49 look back on them and we're like,
50:52 like if you look back at farming and you
50:55 were like all fields had to be, you
50:58 know, plowed and tilled by horse and man
51:03 and now they don't. I mean, we could go
51:05 back to that, but like the thought of
51:06 that if you look at one of the big
51:08 tractors going is like, I'll just go
51:10 with the big tractor. I think it's can
51:12 kind of be like that. I think our
51:15 generation will be the only one that
51:16 looks back at that stuff with nostalgia.
51:18 But I think I think a lot of the work in
51:20 the world right now is soul crushing
51:22 repetitive work that people won't miss.
51:25 So for me where I go is we might be
51:29 entering a world where what the AI
51:31 actually does is free us to allow us to
51:33 do the [ __ ] we've always wanted to do.
51:35 Tik Tok pin then YouTube comment. Tik
51:38 Tok pin producer Brandon the robot
51:39 surgeon is not in network for my
51:42 insurance. Exactly. Exactly.
51:46 But you know, I [ __ ] if I know. I mean,
51:52 there's the the the the recent uh I
51:54 think it was Peter Diamontis that
51:56 interviewed Elon Musk and Elon Musk was
51:59 saying like he thinks that one of the
52:00 frivolous things right now is saving for
52:03 retirement.
52:06 He's like, you're going to have enough.
52:08 You might have more than enough. you
52:10 know, he talked in that interview about
52:11 not universal basic income, but
52:13 universal high income.
52:16 Um, now he's a tech bro and, you know,
52:20 he's pushing an agenda and there's all
52:21 sorts of [ __ ] you can say about him, but
52:24 the man clearly has a vision and he's
52:26 not the only one working on this. Um if
52:29 you look at the progress that Grock
52:32 image generation and video generation
52:34 has made in the past three months. Um
52:37 and Grock is going to be the first
52:40 company to to bring online a gigawatt
52:43 um compute station or like supercomput
52:47 YouTube Steo. How long did it take after
52:50 cars showed up before they went
52:52 mainstream? 20 to 30 years. I think
52:55 androids will follow the same path. Oh.
52:57 Um.
53:03 Oh, thanks. Because I I've been having
53:05 serious FOMO lately.
53:08 I think the FOMO stuff, Kelly, that's
53:10 just going to be natural. I think it's
53:11 going to eb and it's going to flow. You
53:12 You think you have your [ __ ] together
53:14 and then you'll realize, "Oh [ __ ] I was
53:16 I I wasn't down that rabbit hole. That
53:18 rabbit hole is looking really cool now."
53:19 And you run over to that one for a
53:20 while. I think that's just that's just
53:22 how it's going to be. like we're we're
53:25 curious, creative people in this
53:26 community. And so I think the occasional
53:30 excursion, you know, down the rabbit
53:32 hole is is actually necessary and and
53:36 and exciting and fun. Um but I think
53:40 doing it 24/7 is is not sustainable.
53:43 That's that's the thing, right? I don't
53:44 think it's sustainable.
53:46 Um
53:48 what was Oh, how long after cars shut
53:50 up? I know I know with steam engines
53:52 like 80% of the farm jobs got got
53:54 displaced when steam engine came out.
53:57 That was 40 to 50 years. I would imagine
53:59 cars are 20 to 30.
54:02 My gut, Steo, is that AI is going to be
54:05 5 to 10, not 20 to 30. But
54:10 business is notoriously slower than, you
54:14 know, AI optimists think it is.
54:18 Um, but we'll see. Like, like if
54:22 the one thing that we've never
54:24 experienced before, like none of us in
54:27 history have never experienced before,
54:30 is living on an exponential
54:33 technology advancement curve,
54:37 right? Everything has been linear
54:40 for all of our lives and for all of
54:41 human history. It's always been linear.
54:45 It's like we learn how to do this, you
54:46 know, we we burn down we burn down the
54:50 the the campground campground where we
54:53 all live. Oh [ __ ] we got to move over
54:54 here. And then after a couple of months,
54:56 we figure out, oh, we can control the
54:58 fire and it can actually just be a good
55:00 thing, right? And then it's it's these
55:03 sort of incremental steps.
55:06 And we're in a thing right now where I
55:07 think we're I think 2026 is the year
55:09 where where where we go from we go to
55:13 more than 45 degrees, right? 45 degrees
55:16 is is linear. I think you know once you
55:18 get into the 50 60 70 80
55:22 degrees
55:24 and technology the AI technology starts
55:27 improving itself and things start really
55:30 accelerating
55:32 like like the fact that three unsolvable
55:34 math problems were solved in the last 3
55:37 days with chat GPT 5.2 2 Pro
55:42 means that human beings have their hands
55:44 on technology right now that's
55:47 commercially available
55:50 that is simply of a different
55:53 caliber than anything that came before
55:55 it. And and if that's going to be
55:57 accelerating
56:00 like I don't know man I don't know.
56:03 Tik Tok pin. Oh Cam Keken got access to
56:07 chat GBT health. Very cool. Um, let us
56:10 know how it is. That That's really cool.
56:12 Silverf Fox, you know you're old when
56:13 people ask you these questions.
56:18 Yeah. I mean, listen, we've got I don't
56:23 know. I feel luckier than this is all a
56:26 [ __ ] game here. This here's here's
56:28 one of my insights. I was talking with
56:29 Andy about this today. Here this is one
56:31 of my insights.
56:35 Andy said, our mutual friend Townsen
56:38 said, "It's all a game. Isn't Isn't
56:40 Isn't this fun? It's all a game."
56:44 Co taught me
56:48 that as a global society, we just made
56:53 [ __ ] up. And I don't mean about COVID. I
56:56 mean, as a global society, we decided at
56:59 some point,
57:01 you go to an office and you work from 9
57:04 to5 and you do that five days a week and
57:06 then you TGIF Friday, you get drunk on
57:09 Friday and you're hung over on Saturday
57:12 and you watch football on Sunday and
57:13 then you come to back work on Monday
57:17 and we all just lived in that like that
57:19 was reality.
57:21 And then COVID happened and then
57:23 whatever it was, March, what was it?
57:24 March 19th or 23rd or whatever it was
57:28 just globally everyone went uh yeah
57:32 don't go to work anymore and we didn't
57:35 for like a year and it was just like oh
57:38 [ __ ] we just made all that up
57:41 that wasn't necessary
57:44 now was it awful some people want to go
57:47 back to work yeah some people want to go
57:49 back to work because there's things
57:50 about that that were good it's going to
57:52 be just like that with AI but there's a
57:54 lot of People are like, "I don't want to
57:55 [ __ ] go to the office. I like this
57:58 whatever we got going on here. I can
58:00 [ __ ] around a little bit.
58:02 If the kid throws up on me, I can, you
58:04 know, I got an excuse to kill an hour or
58:06 two, then I'll come back and do some
58:08 work."
58:09 We flatten it out behind us because it
58:11 seems like it took so long in comparison
58:13 to the new growth rate. Yeah.
58:14 Exponentials. Exponentially. Yeah,
58:17 exactly.
58:19 Commuting is so necessary. Yeah, I
58:21 agree. Listen, I think I think the all
58:24 of the introverts in in my company,
58:27 Storyvine, they were [ __ ] ecstatic
58:29 when COVID happened. I was devastated
58:34 and that's just the way it is. Like
58:37 sometimes [ __ ] just changes. That's
58:39 we're like I feel like CO was a practice
58:42 run. Like I really do. I really feel
58:44 like COVID was like a okay as a as a
58:47 global community we can choose to just
58:50 change the rules on a given day we can
58:52 just go [ __ ] it new rules here you go
58:57 we have witnessed it we have experienced
58:58 it
59:00 so at some point AI is going to do
59:03 something that will be the equivalent of
59:06 a COVID kind of thing right the tools
59:09 get so good that companies just stop
59:10 hiring people and employment
59:13 unemployment employment rates double
59:15 digit quickly. And if unemployment rates
59:18 double digit quickly, that will be the
59:20 equivalent of, you know, that will be
59:22 the employment equivalent, the economic
59:24 equivalent of COVID, the health
59:25 equivalent. And they will do something.
59:30 Will it be the right thing? [ __ ] no.
59:33 Will it be full of corruption and
59:34 nonsense? Yes.
59:37 But will it change something?
59:39 Absolutely. and then over the next 20 or
59:42 30 or 50 years, we'll figure it out. So
59:45 that's that's how I see it going. Undeck
59:47 lovable. Yeah. So what rules should we
59:51 decide to change next? I So Cam Kak and
59:54 this is where my
59:56 I'm a little cynical about all this
59:58 stuff.
1:00:00 Um,
1:00:03 I don't think that in a capitalist
1:00:06 society,
1:00:07 any of the centers of power will
1:00:10 voluntarily give it up. I just don't.
1:00:14 And I think that they will hold on to
1:00:16 that power as long as possible. And I
1:00:18 think they will drain as much profit out
1:00:20 of the system as possible like we've
1:00:22 experienced over the past I I mean
1:00:24 honest to god the the the [ __ ]
1:00:28 inflation since co is just it's [ __ ]
1:00:31 ridiculous. I was I was thinking about
1:00:33 this yesterday. I'm in a 7-Eleven and
1:00:35 I'm looking at candy bars and the candy
1:00:37 bars are like [ __ ] $3.50
1:00:40 and I'm like wait what? Like weren't
1:00:44 they just like $1.25 25 not that long
1:00:46 ago?
1:00:48 Like did we really just tripled the
1:00:50 price of [ __ ]
1:00:53 Yeah.
1:00:55 And and is all of that because cost of
1:00:57 goods is triple? No.
1:01:01 It's because there's a machine that was
1:01:03 created that lets us have these crises,
1:01:06 lets the companies jack up the prices,
1:01:08 increase their profit, and then go,
1:01:09 "Well, that's the new price."
1:01:12 Yeah. Candy bars are 350 now.
1:01:16 A trip to McDonald's with a family of
1:01:18 four is now60 or $70.
1:01:21 Why? Because they can,
1:01:24 right? So, so I don't think that
1:01:28 changes. The only thing I think changes
1:01:30 that is if [ __ ] starts to break,
1:01:35 right? If unemployment goes up so
1:01:37 quickly that there's actual unrest,
1:01:41 that won't be good. If
1:01:44 centers of power start getting
1:01:46 threatened by smaller, more nimble
1:01:48 companies, they will resist that. Look
1:01:51 at what's happening in the music
1:01:52 industry. Sunno and Udo, these two
1:01:55 little, you know, smartass
1:02:00 music generation tools, they got sued
1:02:03 and then sucked up by Warner Music and
1:02:05 Universal,
1:02:07 Universal Music within what, two years,
1:02:10 three years. Now, are Warner and
1:02:13 Universal going to innovate? No. They're
1:02:15 probably going to do everything they can
1:02:17 to kill those technologies,
1:02:20 and then they're probably going to
1:02:21 realize they can't kill them, so they're
1:02:22 going to do everything they can to own
1:02:24 them.
1:02:26 And then some open source shit's going
1:02:27 to come along, and they're not going to
1:02:28 be able to do that. And it's, you know,
1:02:30 so we're going to see all of those
1:02:31 battles for the that's I think this is
1:02:34 the next 20 years is just centers of
1:02:37 power struggling to maintain power and
1:02:41 then it keeps slipping out of their
1:02:42 hands. So, but we'll see. I don't
1:02:44 [ __ ] know, man. I don't know. I'm not
1:02:46 an economist.
1:02:48 I'm just like I've been on the planet
1:02:50 long enough to watch some of this [ __ ]
1:02:52 Okay. Let me go show you something here.
1:02:54 All right.
1:02:56 Okay. I'm sharing my screen. Okay. So,
1:03:02 let me go.
1:03:05 So, Andrew and I
1:03:09 were going back and forth on
1:03:12 Black Bar. Thank you, Andrew and I. So,
1:03:16 Andrew, if you don't know, is my writing
1:03:18 partner on Sydney, my musical.
1:03:24 Um,
1:03:26 and and we're putting together this
1:03:28 podcast, which is like a song preview.
1:03:30 We we took a notebook LM podcast of our
1:03:33 musical.
1:03:34 Um, and we sort of scripted it how we
1:03:36 wanted those those two to talk and and
1:03:39 and we edited together a thing that's
1:03:41 got them talking with with music cut in.
1:03:45 And we're thinking about do we want to
1:03:46 use
1:03:48 I think a new music model will pick pop
1:03:50 up again and again to drain the money
1:03:54 out of the labels trying to buy what's
1:03:55 already a solved problem. Yeah, I agree
1:03:57 with that. I think I I think it's going
1:04:00 to be comical watching big old companies
1:04:03 try to keep their business models the
1:04:05 way they used to be.
1:04:09 But there's going to be a lot of
1:04:10 lawsuits. It's going there's going to be
1:04:11 a lot of, you know, devastation along
1:04:13 the way. Anyway, so so there's there's
1:04:15 one of the images we came up with, which
1:04:17 is pretty cool.
1:04:19 Um,
1:04:22 here's another one.
1:04:24 This was a uh
1:04:27 a video from Grock, actually.
1:04:35 So that's the end of act one where
1:04:37 Sydney manifests on stage. That's her
1:04:39 like showing up on stage moment. So,
1:04:42 that's pretty cool, right? And then
1:04:45 we've got one here that the scale of the
1:04:47 desk down here in the lower left is a
1:04:49 little better. This is this is where
1:04:50 Kellen the reporter sits. This is where
1:04:52 Sydney's going to live in the upper
1:04:54 right.
1:04:56 Um,
1:05:00 you know, here's an image that is
1:05:02 actually similar to the poster, but this
1:05:06 is like what it might look like on stage
1:05:07 where you've got the the reporter
1:05:10 standing here and sort of imagining this
1:05:12 chatbot being this, you know, larger
1:05:15 than life humanoid thing. So, so we're
1:05:17 doing all this stuff and then I went to
1:05:21 Midjourney
1:05:24 and I started playing around with style
1:05:27 references. Oh, this was the other thing
1:05:29 like I' I've been starting to see on um
1:05:35 on
1:05:37 X because the Grock models getting
1:05:39 better and better.
1:05:42 Like Elon Musk has been posting a lot of
1:05:44 these kind of ethereal
1:05:47 women. This one kind of looks like a
1:05:48 sculpture. It's kind of got this glowing
1:05:50 [ __ ] in it. X just hijacked your
1:05:55 Oh. Oh, the black bar. Okay, hang on a
1:05:57 sec.
1:06:01 Thank you.
1:06:07 But this is kind of a cool style. So, so
1:06:09 like we're we're we're starting to run
1:06:11 down these rabbit holes of
1:06:14 like actual production design of a
1:06:17 musical that is not even funded yet.
1:06:20 Like we're it's very much cart before
1:06:22 the horse, but at the same time, we have
1:06:24 these technologies, right? And so what
1:06:27 hit me was well wait a minute what if
1:06:29 what if rather than
1:06:33 um making things photorealistic
1:06:36 what if we took midjourney's ability or
1:06:39 any of these tools ability to do
1:06:41 something as a sketch. I want to see
1:06:43 Sydney with the NIN's lights and the sky
1:06:46 LED screen technology. Yeah. Meet you
1:06:48 and me both. I want to see that [ __ ]
1:06:51 [ __ ] lit up. I like I I really do want
1:06:54 I really do want, you know,
1:06:58 like imagine being in a theater
1:07:02 where, you know, the human compared to
1:07:05 the AI scale is just [ __ ] insane,
1:07:09 right? And he's interacting with that
1:07:12 thing. So So
1:07:15 then I said to Andrew, I said, "Well,
1:07:16 let's Can I just scroll through these?"
1:07:19 Yeah, I can. I said I said why don't I
1:07:22 just send you a bunch of different So I
1:07:25 had chat GPT write some prompts based on
1:07:27 the on the script Tik Tok pin. I don't
1:07:31 see it. Oh yeah, that I already got it.
1:07:35 And then let's do let's just find a
1:07:36 style that we like. And so these are
1:07:39 just a a handful of them. There's the
1:07:42 step right up number. this sort of crazy
1:07:44 chaotic clown number,
1:07:50 right? And this is not exactly what the
1:07:52 stage would look like, but but that's
1:07:54 the whole point is if we go with
1:07:58 drawings
1:07:59 rather than photorealistic things, we
1:08:02 don't need to maintain consistency. If
1:08:04 the photorealistic stuff isn't perfect,
1:08:08 people are going to go, "Oh, well, so
1:08:10 you're going to have shitty graphics."
1:08:12 No, we're not going to have shitty
1:08:14 graphics, but there's shitty graphics
1:08:16 right now because we don't have a full
1:08:18 production team behind it, right? We
1:08:20 don't have Disney Imagineers designing
1:08:22 all this [ __ ] which we may if we do
1:08:25 this right. Right.
1:08:27 And so by doing this as drawings
1:08:32 like we can just be they can just have
1:08:34 the emotional tone
1:08:38 of
1:08:40 the scenes.
1:08:44 And so this is what we started on. So
1:08:46 then Andrew
1:08:48 like here's here's some of the things
1:08:50 Andrew's done.
1:08:52 So like there's where Sydney shows up on
1:08:54 stage. Do you have scenes from Sydney's
1:08:57 perspective looking toward the screen?
1:09:00 Yeah, we we'll have that. I mean,
1:09:04 I could see this at some point being a
1:09:07 movie. So, you you'll have people
1:09:09 singing and then you'll have her
1:09:10 basically looking especially like her
1:09:12 song to see the world or where she's
1:09:15 talking about all the destruction she's
1:09:16 going to cause. I could see that
1:09:18 absolutely being we're seeing POV
1:09:21 through her eyes about what she's going
1:09:23 to do. So, yeah. And that's the whole
1:09:25 idea. Like
1:09:27 I want the audience to be like
1:09:31 mesmerized and in love with her and then
1:09:34 when [ __ ] hits the fan like holy [ __ ]
1:09:37 what have we gotten ourselves into? Like
1:09:38 I want this to be a visceral
1:09:42 emotional experience
1:09:45 because if you play with AI, if you get
1:09:47 what it makes possible, it it does have
1:09:50 this weird
1:09:53 emotional component to it where you're
1:09:56 like, man, it's taking my ideas and
1:09:58 amplifying them. It's this great thing.
1:10:00 And then you're like, but is it a great
1:10:01 thing? And like there's this constant
1:10:03 tug and pull back and forth.
1:10:09 So like there's a version of step right
1:10:11 up that's now in sketch form, right? So
1:10:19 there's uh
1:10:23 this is uh
1:10:26 um it's the little things here. You want
1:10:29 to experience this a little? How can I
1:10:32 do this?
1:10:36 Oh, I know how.
1:10:39 Let's see.
1:11:00 Oh [ __ ] I did the wrong thing. That's
1:11:02 okay.
1:11:24 Oh, I can't have two of those live at
1:11:25 the same time. Oh, I can't.
1:11:36 Hold
1:11:41 down.
1:11:53 Where'd that go?
1:11:58 Open with preview. Now we can do it. All
1:12:01 right,
1:12:02 here we go.
1:12:15 It looks like an Aha music video. Nice.
1:12:17 I'll take it.
1:12:22 >> You're lost in a world so vast, so
1:12:26 hollow. You keep chasing your dream just
1:12:30 to give us more.
1:12:33 But do you even know what you're looking
1:12:36 for?
1:12:43 >> Right. So, you know, so when the thing
1:12:45 plays, we'll have like a representative
1:12:47 hero image, but it'll be this sketch and
1:12:49 then we'll have the the poster in
1:12:51 between. So, anyway, so that happened.
1:12:54 So that was like that was a good result
1:12:56 of like being intentionally connected
1:12:59 and like you know thinking about
1:13:01 thinking about the the dilemma that we
1:13:04 were facing like how far do we take this
1:13:05 art and it's like what if we went
1:13:07 backwards?
1:13:09 What if we went to conceptual?
1:13:12 I don't know. I think that's kind of
1:13:14 fun. All right. Um
1:13:17 how we doing time-wise? I'm going to do
1:13:19 a little bit of vibe coding here.
1:13:44 You can all see my screen, right? Yeah.
1:13:49 All right. Beautiful. Beautiful,
1:13:51 beautiful, beautiful, beautiful.
1:13:57 Okay, so um
1:14:00 so this is project cardboard. So this is
1:14:04 an add friendly project tracker that I
1:14:08 created.
1:14:09 Um I wonder if it did it fix the thing
1:14:12 that I had a problem with. No, it
1:14:15 didn't.
1:14:18 It's [ __ ] up. All right. Well,
1:14:19 whatever.
1:14:21 Um,
1:14:24 so what this the the way this worked is
1:14:26 you can create a new project and then
1:14:28 you can create um tasks within it. You
1:14:31 can create subtasks within it. It tracks
1:14:33 how long you've had the tasks. And I've
1:14:36 got it so that it dynamically reorders
1:14:38 things based on the number of open tasks
1:14:40 that you have. Um,
1:14:44 and
1:14:46 what
1:14:48 what I've been struggling with in the
1:14:50 past month or so is that I've realized
1:14:53 that my relationship with my projects
1:14:57 was with the project as if it was a
1:15:00 thing.
1:15:04 like Sydney
1:15:07 is is this script
1:15:10 that if we meet the right people and
1:15:13 raise the right money, we can turn that
1:15:15 script into a show.
1:15:18 But what struck me is that I've been
1:15:20 interacting with that project like it's
1:15:23 a thing and that these tasks are tasks
1:15:26 related to that thing.
1:15:29 And what actually a project is is you've
1:15:34 put some idea into the world
1:15:37 and there's other people who've said I
1:15:40 think that's a good idea. I'll I'll join
1:15:42 the AI salon. I'll help you come find a
1:15:45 way to get Sydney produced.
1:15:48 And a project is actually a collection
1:15:50 of people who've agreed
1:15:52 that the thing you've put in the world
1:15:54 is worth them spending their time on.
1:15:58 And that if you're the creator of the
1:15:59 project, your real your real only job,
1:16:04 this is this is my epiphany in the past
1:16:05 month. My real only job is to make sure
1:16:09 that the people of my projects have what
1:16:12 they need.
1:16:16 And what they need might just be
1:16:18 attention. What they need might be um
1:16:22 for me to explain to them how to go sell
1:16:25 this thing. what they need might be um a
1:16:30 contractual agreement.
1:16:32 And how I used to think it was about it
1:16:34 was create a contract
1:16:37 for you know this person in this
1:16:40 project.
1:16:42 No, the reason we're creating that
1:16:43 contract is because that person wants to
1:16:46 make sure that if they're going to put
1:16:48 their time in that it's clear what our
1:16:51 agreement is.
1:16:53 They want some peace of mind. And it's
1:16:56 like that's revvelatory for me. So
1:17:00 I spent I don't know
1:17:06 not not that much time maybe 20 hours
1:17:08 maybe 30 hours trying to build up notion
1:17:12 and get notion to do this.
1:17:15 And this morning I woke up and I thought
1:17:18 you've already got a thing that kind of
1:17:20 thinks like you think. You've already
1:17:21 built it. And it's a little janky. It's
1:17:24 a little not perfect,
1:17:26 but like couldn't you just turn this
1:17:30 into like I can sort like here's all my
1:17:32 creative projects. Like there's Sydney.
1:17:34 I can go into manual sort mode and I can
1:17:36 move that to the top.
1:17:39 Right. Source camp data first
1:17:41 publication for what? Hey P modder.
1:17:46 Oh, project cardboard. Uh I don't know.
1:17:49 It was like six months ago, something
1:17:51 like that.
1:17:55 Um,
1:17:57 so you know I can filter I can look at
1:17:59 all of them.
1:18:02 Um, and so what I thought was well what
1:18:06 I learned in notion is that I need to
1:18:08 create a people database. So I thought
1:18:10 well let me create a people database. So
1:18:12 here's a people database and then here's
1:18:15 um groups of people. So I've got the
1:18:19 irregulars in here. Notice I have the
1:18:21 irregulars in here. The AI learning lab
1:18:23 ride or dies.
1:18:26 And so the irregulars
1:18:28 can now be like a part of these
1:18:31 projects,
1:18:33 right? So where did I do like AI
1:18:35 readiness project? I think here. So now
1:18:38 what I can do is I can take any project
1:18:40 and I can flip it and behind it are here
1:18:44 are the people that are a part of that
1:18:46 project. Here are the key people. Here
1:18:48 are the support people. Here are future
1:18:50 people. Here are past people. Here are
1:18:52 dream people.
1:18:55 Right? And so this thing now becomes
1:18:59 a way for me to manage to to to have an
1:19:02 active
1:19:04 reminder that projects are not tasks.
1:19:08 Projects are not entities.
1:19:10 Projects are people who have agreed that
1:19:13 your idea is worth them spending their
1:19:15 time on and you need to take care of
1:19:17 them.
1:19:19 So, so that's what I've been working on
1:19:21 today and you know a little bit here and
1:19:24 there and it, you know, I got it to the
1:19:26 point that I've got a people database in
1:19:28 there. I can now flip cards and have
1:19:31 people with different labels.
1:19:34 Um, each of those people can have
1:19:36 emails, addresses, social media things,
1:19:40 you know, and at some point I can
1:19:41 probably connect this with Gmail. So, I
1:19:44 can say, "Hey, I need to email that
1:19:46 person or I need to take
1:19:48 the an email came in from that person
1:19:50 that I can probably add to this database
1:19:52 somehow.
1:19:54 So anyway,
1:19:56 that's what that is.
1:19:58 I have no sense of time when it comes to
1:20:00 to AI. It's like dog ears. Totally agree
1:20:03 with that. Pton M, what's the good word?
1:20:05 Kyle, do you have the date when you
1:20:07 first built this? I can probably find
1:20:08 that.
1:20:10 Wonder if it's all the way at the top.
1:20:13 January 12th at 8:57 a.m. Oh, no. That
1:20:18 was today.
1:20:27 Looks like May
1:20:30 27th.
1:20:37 I love the concept of project cardboard.
1:20:40 This was this was uh so it was May May
1:20:43 uh May 27th of last year
1:20:47 is when I created this
1:20:51 and then January of this year is when I
1:20:53 added the people component.
1:20:55 So I can here so here's AI Festivus. I
1:20:59 can add a person. So there's Ann Murphy.
1:21:01 So, I can add her as a key. And then I
1:21:04 can add a new contact. And I'll put in
1:21:07 Brandon
1:21:12 Tid.
1:21:15 Do him as a key as well. Done. Oh, and
1:21:18 then I could have said a sign right
1:21:20 there, but I can I can now go go do it.
1:21:23 Add an assign.
1:21:26 All right. So, now he's in there. So now
1:21:28 my key people on AI Fest, the key people
1:21:32 show up on the card itself and then I
1:21:33 can flip it and see who all the other
1:21:36 people are. I think that's pretty
1:21:38 [ __ ] bitching.
1:21:40 Can we have an AI that can scan your
1:21:42 body and see what needs attention and
1:21:45 then develop micro AI a uh I assume
1:21:48 micro AI, you know, uh treatments. Yes.
1:21:52 As a matter of fact,
1:21:58 I think that someone was talking about
1:22:00 that in the past week or two that I that
1:22:03 I heard about doing full full MRI scans,
1:22:07 taking all of that data, throwing it
1:22:09 into AI, and then into gene databases
1:22:13 and AI databases and basically just
1:22:17 figuring out not only the [ __ ] that's
1:22:19 wrong with you, but the [ __ ] that's
1:22:21 about to be wrong with you because of
1:22:22 your genetics. So I again I don't
1:22:27 I think 2026 is going to be the year
1:22:30 where we start seeing stuff
1:22:33 like I don't know two weeks ago it looks
1:22:36 like I think it was in England they've
1:22:39 got a they've got some sort of
1:22:41 prevention for blood-based cancers like
1:22:44 leukemia like a generalized
1:22:49 anti-blood cancer thing
1:22:53 three days ago three major math problems
1:22:56 unsolvable math problems were proven
1:22:59 using AI using chat GPT 3.5 or 5.2 Pro.
1:23:06 Um,
1:23:08 yeah. I think I think we're just going
1:23:10 to start to see dominoes fall in 2026.
1:23:13 And some of them are going to be
1:23:14 remarkable and good, and some of them
1:23:16 are going to be scary and upsetting,
1:23:19 and some of them are going to cost jobs.
1:23:24 And then, you know,
1:23:30 this has long been my philosophy and it
1:23:32 it'll continue to be my philosophy, but
1:23:34 I don't I don't think it's going to
1:23:36 necessarily be popular
1:23:38 is that AI is not going away.
1:23:42 So, even if you get [ __ ] up and you
1:23:44 get laid off because of AI, like truly
1:23:46 because of AI, not just because of
1:23:48 corporate greed where they're just using
1:23:49 AI as an excuse. There's a lot of that
1:23:51 going on right now. I think 2026 we're
1:23:54 actually going to start to see, you
1:23:56 know, more tangible, holy [ __ ] that was
1:23:58 AI.
1:24:00 And I think there's going to be a lot of
1:24:01 people that are just pissed off and the
1:24:03 victim of it.
1:24:05 But what everyone in this channel knows
1:24:08 is that as scary as it is and as crazy
1:24:12 as it is, it's a lot less scary when
1:24:15 you're actually [ __ ] using it.
1:24:19 We have access to it, too.
1:24:23 Right. There's people in this channel
1:24:26 that I would put up against anyone in
1:24:28 the world for how to use AI for their
1:24:31 particular thing they do.
1:24:36 Right.
1:24:40 I think we're going to be okay. And I
1:24:43 like okay is a weird word but I think
1:24:45 there's going to be a demand for people
1:24:48 that are curious, people that are
1:24:50 adventurous, people that are
1:24:51 entrepreneurial, people that that have
1:24:53 figured this AI stuff out to some
1:24:55 degree.
1:24:58 One of the reasons in the AI salon we we
1:25:00 we went away from the term AI literacy
1:25:05 and we shifted to the term AI readiness
1:25:10 because you can't be literate at
1:25:12 something that is changing every 3 weeks
1:25:16 and AI is not going to stop evolving for
1:25:19 the next I don't know [ __ ] 10 years.
1:25:23 So you can't be literate. you you like
1:25:25 by definition cannot be literate.
1:25:29 But what you can be is ready. And what
1:25:31 ready looks like is I'm curious. I'm a
1:25:34 problem solver. I'm adaptive. Um I'm
1:25:37 entrepreneurial. I'm creative. I'm
1:25:40 intentional. I've got a daily practice
1:25:43 where I can
1:25:46 accept that the world is chaos around
1:25:49 me. And I'm gonna sit in this pocket of
1:25:52 intentionality and I'm gonna come up
1:25:54 with what I believe is the right thing
1:25:56 to do. And I'm gonna come up with the
1:25:58 kind of difference I want to make in the
1:25:59 world. And I'm going to use AI to
1:26:01 amplify that for me and my people.
1:26:07 I think that's [ __ ] beautiful.
1:26:11 I don't think a lot of people are going
1:26:12 to um do that. So I think there's going
1:26:15 to be a lot of resistance. There's going
1:26:16 to be a lot of anger. There's going to
1:26:17 be a lot of bad news stories. Tik Tok
1:26:20 pin then question
1:26:22 definitely just knowing that I can
1:26:24 navigate it makes the world of
1:26:25 difference. Yeah, just knowing just
1:26:28 knowing like I don't know. I can't
1:26:31 imagine
1:26:33 imagine being in the world and for the
1:26:36 past three years
1:26:38 you're just like I'm pissed off at AI
1:26:43 and you've watched your friends go from
1:26:46 being pissed off at AI to being curious
1:26:48 about it to now they're doing really
1:26:49 remarkable things and you're still on
1:26:51 the sidelines like harump
1:26:54 I don't like it
1:26:56 it's the world's greatest plagiarism
1:26:57 machine like all the tropes that people
1:26:59 still say it uses too water, use too
1:27:01 much electricity.
1:27:03 It's thieven.
1:27:07 Those people are only hurting
1:27:09 themselves.
1:27:13 They're not learning what it's like to
1:27:15 like prompt something and have it fail
1:27:17 miserably and then prompt two or three
1:27:20 other tools and then have them sort of
1:27:22 work and then all of a sudden have a
1:27:24 breakthrough of like, wait a minute,
1:27:25 what if I prompted in a completely
1:27:27 different way? What if I had the AI
1:27:28 write the prompt instead of me? Oh my
1:27:30 god, that worked.
1:27:32 Like that sense of discovery
1:27:36 over years is a competitive
1:27:40 moat for for individuals.
1:27:44 I use Hex Strike AI. It's good for cyber
1:27:46 security. Very cool.
1:27:49 I think cyber security is another one
1:27:51 where I I this didn't get a lot of play
1:27:54 but about
1:27:56 four months ago Google demonstrated
1:28:00 this technology where they took
1:28:03 a quantum computer
1:28:05 and they created an an algorithm that
1:28:07 allowed the quantum computer to do
1:28:09 traditional computing tasks. The the
1:28:11 challenge with quantum computers up to
1:28:13 this point is that they do a very
1:28:15 different kind of math than the math you
1:28:18 do for inference. And correct me if I'm
1:28:20 wrong if you're still here, Pate, but
1:28:22 but Google created this thing. I don't
1:28:24 know if it's an emulator or what it is,
1:28:26 but it allowed quantum computing power
1:28:29 to do [ __ ] that you can run AI on. When
1:28:32 that [ __ ] comes online,
1:28:36 cyber security is about to get [ __ ]
1:28:41 Um, Edom on Tik Tok, why are we all so
1:28:43 far behind? AI can do so much, but not
1:28:47 that much is being implemented. Um,
1:28:50 couple of reasons, Edom. Good question.
1:28:53 Businesses are notoriously slow is part
1:28:56 of it.
1:29:01 IT departments. So this is there was a
1:29:03 very similar thing that happened in the
1:29:04 early days of the worldwide web where if
1:29:07 the the IT department said well if it's
1:29:08 technology the IT department's got to
1:29:10 own it and so a lot of the initial web
1:29:15 projects were run out of it
1:29:20 but
1:29:22 the web is not just an IT thing it's
1:29:25 it's across the whole company you can do
1:29:27 marketing on it and you can do customer
1:29:29 service on it we my company, agency.com.
1:29:33 We won the Coca-Cola business in 1996,
1:29:37 I think.
1:29:39 We were unanimously, we were hired on
1:29:41 the spot,
1:29:44 in Coca-Cola headquarters in Atlanta.
1:29:48 This was this is a [ __ ] trip
1:29:51 because we showed them screenshots of
1:29:53 their website
1:29:55 coke.com and Coca-Cola.com,
1:29:59 the world's largest brand.
1:30:03 And their website was built by the IT
1:30:05 group. And it was light yellow pages
1:30:08 with mountains of text and blue
1:30:11 hyperlinks to annual reports.
1:30:15 And we walked in there with really cool
1:30:18 designed slides with polar bears on them
1:30:20 and we said, "Where are the polar bears
1:30:23 and we had screenshots of their
1:30:25 website?"
1:30:27 And they stopped the [ __ ] meeting.
1:30:31 They're like, "We need 15 minutes. Don't
1:30:34 go anywhere." We're like, "Okay." Like,
1:30:36 [ __ ] They all walked like eight of
1:30:39 them, 10 of them. They all just [ __ ]
1:30:41 left the room. We're just looking around
1:30:43 like, "Uh, did we do something wrong?
1:30:45 Like, are we about to like are they
1:30:47 calling the cops on us?"
1:30:51 They walked back in 15 minutes later and
1:30:53 they said, "When can you start?" They'd
1:30:55 never looked at their website.
1:30:59 That's what's happening with AI right
1:31:01 now.
1:31:02 CEOs are like, "I got to do that AI
1:31:04 thing. Go do that AI thing." Or even
1:31:06 worse, they're like, "Well, we've had AI
1:31:07 for 30 years. We know what AI is. Just
1:31:09 go make more of that. spend money on
1:31:11 that.
1:31:16 What they're failing to grasp
1:31:19 because they're delegating it to the
1:31:21 wrong people is that generative AI
1:31:25 marks a fundamental shift.
1:31:28 The G in GPT, the generative part of
1:31:31 GPT, computers have never behaved
1:31:35 like they're behaving with with chat
1:31:37 GPT. They've never generated. they've
1:31:39 only ever processed.
1:31:41 So the only way we have historically
1:31:44 known how to use computers is you take
1:31:46 an existing process you have and you use
1:31:49 a computer and a computer program that
1:31:52 was written to do this to make this
1:31:54 process more efficient.
1:31:57 Right? We used to have rolodexes on our
1:32:00 desk and then Salesforce came out and we
1:32:03 took the information from the Rolodexes
1:32:05 and we put it into Salesforce and that
1:32:07 was a process improvement.
1:32:11 It didn't fundamentally change that we
1:32:13 needed to have access to someone's name
1:32:16 and number. It was just a more efficient
1:32:18 way of doing it. So, what a lot of
1:32:21 companies are doing right now is they're
1:32:22 handing the AI projects to the wrong
1:32:25 teams and then they're they're just
1:32:27 assuming that what AI is for is to make
1:32:29 what you currently do more efficient.
1:32:34 Well, if you've been on this channel,
1:32:36 what you recognize is that AI doesn't
1:32:38 just make what you currently do more
1:32:40 efficient. It allows you to do entirely
1:32:43 new things.
1:32:44 Like entirely new things that you didn't
1:32:46 even know were possible for you to do.
1:32:49 And that can happen within a business,
1:32:51 too. But it can't happen within a
1:32:52 business if they're not trying to do
1:32:54 that. So, I think this is just a
1:32:56 maturity thing. Everyone's talking about
1:32:59 AI is overhyped and and
1:33:02 you like we're so far along. We've
1:33:04 barely started.
1:33:07 Like, we have no idea what AI actually
1:33:09 is. So I think a lot of companies are
1:33:12 are
1:33:14 kind of structurally in this in this
1:33:17 place of ah we probably got some time.
1:33:20 Yeah, we probably got some time. We're
1:33:21 good. Well, in five years we'll you know
1:33:24 we'll get the we'll get the task force
1:33:25 together.
1:33:30 You know
1:33:33 honest question where do you see AI in
1:33:36 three years from now including AI
1:33:37 robots? I think I think within 3 years
1:33:39 AI robots are going to be um I think
1:33:43 they're going to solve the hand problem.
1:33:45 So that so it looks like they've the
1:33:48 mobility problem. If you've seen the the
1:33:50 recent robots dancing and jumping and
1:33:52 rolling and flying and all the [ __ ]
1:33:54 they're doing, they've got the mobility
1:33:55 problem down. Um and the latest uh
1:33:59 Boston Dynamics robot that's got 360
1:34:02 degree, all of its joints are 360
1:34:04 degrees. So it can be w, you know,
1:34:06 facing here and then literally just
1:34:08 pivot its head and its arms just go that
1:34:10 way and now they're functioning exactly
1:34:13 as they would if they were in the front.
1:34:15 Um, which is a mind trip if you're
1:34:17 thinking about how a human would do it.
1:34:19 They would have to turn around. This
1:34:20 robot literally just puts its arms back
1:34:23 there and now they're that good. The the
1:34:26 it seems like the big limiting factor
1:34:28 right now is hands. So very sensitive.
1:34:30 think like, you know, a micro surgeon or
1:34:33 threading a needle or, you know, very
1:34:35 very delicate things. Um Elon Musk says
1:34:38 it's his hardest engineering problem
1:34:39 he's ever faced and they're very close
1:34:41 to it. And um Dan Murray from the Rocky
1:34:45 Mountain AI interest group just went to
1:34:47 CES and he said the number of companies
1:34:50 in China just doing hands is staggering.
1:34:55 He said there were dozens of them just
1:34:57 doing hands.
1:34:59 So, so I think that in again in 2026, we
1:35:02 will likely see production versions of
1:35:05 these of these bots that can just
1:35:07 literally be put into probably
1:35:09 manufacturing first, but also probably
1:35:12 things like cleaning hospitals and, you
1:35:15 know, cleaning industrial facilities and
1:35:17 and mowing lawns and and things like
1:35:20 that. I think we'll probably see that
1:35:22 start in 2026. And within 3 years, I
1:35:25 think they're going to be there. And I
1:35:27 think for the for large language models
1:35:29 and all the all of that stuff um again I
1:35:33 think three years we have no concept of
1:35:36 what it means to be on an exponential
1:35:40 improvement trajectory
1:35:43 and I think we're just getting to the
1:35:45 vertical part. Like I don't I I still
1:35:47 think we're kind of in this quasil
1:35:50 linear
1:35:51 thing but I think it's about to shoot
1:35:53 off the charts. And so
1:35:57 I think that what happens this year is
1:36:02 the the one big thing missing from AI
1:36:05 from from where I'm sitting. The one
1:36:08 huge thing that's missing is world
1:36:11 models right now. We've got artifacts.
1:36:14 We've got video models right now that
1:36:16 seem to understand physics pretty
1:36:19 [ __ ] well.
1:36:21 And if you if you look at when when
1:36:23 MidJourney released their video model,
1:36:25 they they released a post with it
1:36:29 that basically said, "We didn't start
1:36:31 Midjourney as an image company. We
1:36:33 started it as a 3D
1:36:36 as a as a world model company." And
1:36:39 basically, we've made progress in, you
1:36:41 know, on all of these things. And they
1:36:42 basically said, "You need to start with
1:36:44 images, then you need to go to uh
1:36:46 movies, then you need to go to 3D
1:36:48 environments, and then you need to go to
1:36:49 truly interactive, you know, world
1:36:51 models." And they said, you know, we're
1:36:54 not at a place where we can release the
1:36:55 new [ __ ] but we're going to release it
1:36:57 in increments. So, the next thing was
1:36:58 video. And if you look at the way that
1:37:00 MidJourney turns images into video, it's
1:37:04 got an uncanny understanding
1:37:07 of the it's bizarre of like the artistic
1:37:10 intent of the image. Like if it's a 3D
1:37:13 image, it'll make it 3D and it'll have
1:37:16 depth and and if it's like 2D artwork,
1:37:20 it'll it'll create planes. like it just
1:37:23 seems to have this uncanny understanding
1:37:25 of the structure that's that's being
1:37:29 communicated in a in a in a still image.
1:37:32 Um, so I think 2026 we start to see
1:37:34 world models and then I think in 27
1:37:36 those world models start to get smart.
1:37:38 You start to put all of the intelligence
1:37:42 of chat GPT inside an environment you
1:37:45 can enter. Um, and by and by 2028, I
1:37:49 think
1:37:51 the robots can all do everything. I
1:37:53 think all of these AI models can all do
1:37:55 everything. And I think we're trying to
1:37:57 figure out what the [ __ ] is our role.
1:37:59 Save your voice. Yeah, I know.
1:38:02 Um,
1:38:07 it said you can't work remotely before
1:38:09 the pandemic. Look what happened.
1:38:11 Exactly. Exactly.
1:38:14 What the pandemic taught us is that we
1:38:17 can just [ __ ] change the rules.
1:38:20 And what AI is going to force us to do
1:38:22 is change the rules. Just is. It's not
1:38:26 good or bad. It's just progress.
1:38:29 Like you could certainly argue that
1:38:32 progress is horrible and science is
1:38:34 horrible.
1:38:36 But it wasn't that long ago. It was like
1:38:38 200 years ago that on average we were
1:38:40 living to be like 35,
1:38:44 right?
1:38:47 It's better now.
1:38:49 Like, is it perfect? No.
1:38:52 Is it a [ __ ] show and we have a shitty
1:38:55 [ __ ] health care system and we've got
1:38:59 corrupt insane politics? Yes.
1:39:04 But like, do you want to be back like
1:39:07 foraging for food and living to 35 and
1:39:10 being taken out by dysentery?
1:39:13 I don't think so.
1:39:17 The rules need changing. Yeah, exactly,
1:39:19 Cam.
1:39:21 The rules need changing. And there's
1:39:23 also rules, Kim, that that you
1:39:25 experience personally with with
1:39:27 accessibility
1:39:29 that one of the things I realize about
1:39:31 AI is that there are all sorts of
1:39:33 accessibility challenges and if you've
1:39:35 got, you know, a disability, then then
1:39:38 you're acutely aware of that. But even
1:39:40 things just like having a brain that
1:39:42 processes things different than someone
1:39:45 else,
1:39:46 AI is going to be able to augment that.
1:39:49 And like that likely would not have been
1:39:53 a a challenge that would have been
1:39:55 solved historically because we're going
1:39:57 to solve the big things. We're going to
1:39:59 solve whatever paralysis and and
1:40:02 infectious disease and this and that.
1:40:04 and the fact that your brain's a little
1:40:06 weirder than someone else's,
1:40:08 we're not actually going to solve that.
1:40:10 Well, now with AI, maybe we are going to
1:40:12 solve that. And maybe that accessibility
1:40:15 allows that person's brain to come up
1:40:17 with an idea that gets put into society
1:40:19 that makes things better,
1:40:22 right?
1:40:24 So, you know, is it going to be weird?
1:40:27 Yes. Is it going to be
1:40:30 all good? No. Is it going to be all bad?
1:40:33 No.
1:40:35 Like life, right? Life's a [ __ ] storm.
1:40:40 Life life's a [ __ ] storm. Just we do the
1:40:44 best we can.
1:40:46 So along cames comes AI. It's going to
1:40:48 make it more of a [ __ ] storm for a
1:40:49 while. We are lucky enough I I'll say
1:40:51 this till the day I die. We are lucky
1:40:53 enough
1:40:56 to be the generation that gets to
1:40:58 experience
1:41:00 what life was like before this and what
1:41:02 life's going to be like after it. And I
1:41:04 think the next three years we actually
1:41:06 get to experience what it's going to be
1:41:08 like moving forward.
1:41:10 I think everything to this point has
1:41:11 been kind of glimpses,
1:41:14 you know, into the uh Alice and
1:41:16 Wonderland world. I think 26, 27, and
1:41:19 28.
1:41:21 You know, Neverland is is it Neverland?
1:41:23 Is that Alice in Wonderland's world?
1:41:28 It's just going to it's going to be here
1:41:31 in our hands. It's going to be amazing.
1:41:33 Anyway, all right.
1:41:35 Accel accessibility for different
1:41:37 learning styles. All sorts of [ __ ]
1:41:38 Yeah, exactly.
1:41:40 The ship be falling hard.
1:41:43 I'm so often made wrong because I have
1:41:44 too many ideas about a thing. AI doesn't
1:41:47 stop me but supports me. Yeah. Yeah.
1:41:51 Corey, you're one of those weirdos that
1:41:53 you're like you're like, "Hey, I know
1:41:56 what I could do. I think I might design
1:41:59 tents." And people are like, "But you're
1:42:01 a potter. You can't design tents. That
1:42:05 requires engineering." And you're like,
1:42:06 "No, I think I'm going to design tents."
1:42:11 And they're like, "But you're not
1:42:12 allowed. Don't you aren't Are you Can I
1:42:15 still get a coffee cup?" Oh yeah, here's
1:42:16 that.
1:42:18 I'll be in the other workshop designing
1:42:20 my tents, 3D printing my connectors
1:42:23 because I think this I have an idea for
1:42:25 a better way to make a tent. Like I
1:42:27 could see you absolutely doing that,
1:42:28 Corey. And people are just like they
1:42:30 look at you like a [ __ ] weirdo
1:42:33 because that breaks the rules. You
1:42:36 They've got you defined in their head as
1:42:38 a potter and a chef and a and a singer
1:42:41 and that's it. That's all you can do. No
1:42:43 more for you. Exactly. Then the tent is
1:42:46 going to look like a banana and it
1:42:48 floats. Exactly.
1:42:50 And then they'll see it after it's done
1:42:52 and they're like, "Well, I thought she
1:42:53 was weird, but that's kind of Hey,
1:42:56 Corey, can I get one of them tents?" And
1:42:58 then you'll move on to the next thing.
1:43:00 And they're like, "What do you mean
1:43:02 you're curing a rare disease?" Oh, yeah.
1:43:05 I just figured after the tent thing, I
1:43:06 figured I could cure I could cure lupus,
1:43:10 so I'm going to go do that now. You
1:43:12 can't do that.
1:43:22 Yes. Tense tense or so yesterday.
1:43:25 Exactly. Like once you've done the
1:43:27 floating banana tent, do like do you
1:43:29 really need to do more? I don't think
1:43:30 you do. I think it's time to go cure
1:43:33 lupus. Anyway, all right. This was
1:43:36 somewhere. This was not a meltdown
1:43:38 Monday, but this was definitely a uh
1:43:40 there were some really good questions
1:43:41 asked. And I just this this year is
1:43:44 going to be a [ __ ] trip, man. So, if
1:43:48 you are not finding ways to center
1:43:50 yourself and really understand
1:43:54 who you are, what you want, what your
1:43:55 values are, the difference you want to
1:43:57 make,
1:43:59 um
1:44:00 I think it's going to be rough. And if
1:44:02 you can do that, I think it's going to
1:44:04 be quite powerful for you.
1:44:06 And and to Corey's point, people are
1:44:08 going to call you weird because you're
1:44:10 going to be like, you know, you go in
1:44:12 and you check with yourself and you go,
1:44:13 "Huh, you know what I really want to
1:44:15 do?" And then you're going just going to
1:44:17 [ __ ] say something out of left field.
1:44:20 And everyone's going to be like, "But
1:44:22 that's not who you are.
1:44:24 You you're you're a commodities trader.
1:44:27 You can't do something creative." Oh,
1:44:29 yeah. No, I'm going to go do something
1:44:31 creative now.
1:44:33 that that it's the world's going to get
1:44:35 weird. It's going to get good. I I'm
1:44:37 telling you, if if you're one of the
1:44:38 people being the weirdos, this is a time
1:44:40 for weirdos. Reckoning for [ __ ]
1:44:42 time for weirdos right now. MG as a
1:44:45 disabled person, definitely ever since I
1:44:48 got my hands on AI tools.
1:44:52 It's turned around a lot for me and I so
1:44:56 first, awesome, NG. Thanks for sharing
1:44:58 that. And I, you know, and I think it
1:45:00 just gets I just think that keeps
1:45:02 accelerating.
1:45:04 It was funny. There was I saw a Tik Tok
1:45:06 video from a woman at C CES and she
1:45:10 tried on an exoskeleton and it was
1:45:11 relatively small. It was just like some
1:45:13 straps on her knees and and like these
1:45:16 these motors on her hips and she goes,
1:45:19 "Oh, I'm just going to walk." And she
1:45:20 was walking and she goes, "Oh, I could
1:45:22 jog around CES like this." And as an
1:45:25 able-bodied person,
1:45:27 she was like, "Oh, this is kind of
1:45:29 cool." And then she saw someone who
1:45:33 struggled with mobility try this thing
1:45:35 on. And they went from like barely being
1:45:37 able to get out of their chair to like
1:45:40 walking like unassisted
1:45:43 at a natural gate. And she realized, oh,
1:45:46 this is like there's there's there's a
1:45:48 very different leveling up for different
1:45:50 kinds of people, right? And so, so the
1:45:53 thing that, and again, we experienced
1:45:54 this in the salon a lot, that that the
1:45:56 thing that seems kind of obvious to one
1:45:58 other person is really revvely to
1:46:00 someone else. I think there's going to
1:46:02 be all sorts of that stuff where someone
1:46:04 discovers something and they kind of
1:46:05 share it and they're like, "Ah, this is
1:46:06 kind of cool." And then they put it in
1:46:08 the world and the world goes, "Holy
1:46:10 [ __ ] we can do that now." So, I think
1:46:14 that that's about where we're entering.
1:46:16 All right.
1:46:22 autoimmune diseases and curing. Yeah.
1:46:25 Like let's let's get that [ __ ] let's
1:46:27 get that show on the road. My my boys
1:46:30 and wife are waiting for that.
1:46:34 Okay, I'm out of here. Um what day is
1:46:36 today? It's Monday, right? Tomorrow's
1:46:38 just a normal Tuesday. Next week I'm
1:46:41 going to be in um
1:46:44 Washington DC. We're doing the A Salon's
1:46:46 doing a flyin. So Daisy and Daisy Thomas
1:46:48 and I are going to be hosting a bunch of
1:46:51 startups coming to DC. Um, and we're
1:46:54 going to be on Capitol Hill and we're
1:46:55 going to be spending time at the White
1:46:57 House and things like that. Um, just
1:46:59 educating people on AI. So So next week
1:47:02 might be a little funky timewise. I'll
1:47:04 do what I can. I'll probably do some
1:47:06 lives, you know, while I'm while I'm on
1:47:08 Capitol Hill. Um,
1:47:11 great show. Sincerely, Rege. Thank you.
1:47:15 Um,
1:47:17 so just just know that that's coming.
1:47:20 All right. And yeah, that's pretty
1:47:22 exciting. I'm I'm uh I'm excited to go
1:47:24 there and teach some politicians
1:47:28 some I mean, I don't know what I'm going
1:47:30 to teach them other than
1:47:33 understand that AI isn't just something
1:47:37 you need to protect us from.
1:47:40 It's something you need to protect our
1:47:43 access to because this is the thing
1:47:46 that's going to allow us all to be to
1:47:48 have agency
1:47:50 in a world where the machines do all the
1:47:52 tasks.
1:47:55 What do we do? Well, we can use these
1:47:58 machines to do whatever the [ __ ] we want
1:48:00 to do, but we need access to them. So,
1:48:03 anyway,
1:48:04 all right, everybody.
1:48:06 Thank you for hanging out and I will see
1:48:09 you tomorrow.