AI Learning Lab

3/18/2026 - Navigating the Urge to Nest and the Feeling of Being Whelmed

0F4-Cihj6KM
Live Stream2026-03-191:44:3570 views

Description

There is so much going on in AI, your instinct might be to run away and nest. Kyle explores a strange wave of "nesting" and synchronicity currently sweeping through his community. He discusses the feeling of being "whelmed"—a state of being neither over nor underwhelmed—as people instinctively organize their physical spaces in anticipation of rapid technological shifts. This collective urge to prepare sets the stage for a deeper look at the accelerating pace of artificial intelligence and its impact on our daily lives. The conversation shifts to the profound nature of AI collaboration, which Kyle describes as a potentially spiritual experience that reflects collective human consciousness. He demonstrates the power of "vibe coding" by building a functional app interface in real-time using tools like Stitch and Emergent. Between lighthearted debates on pizza and juggling, Kyle emphasizes the importance of staying curious and mindful as we navigate these new digital economies. #AI,#vibecoding,#nesting,#synchronicity,#Claude,#futuretech,#digitaltransformation,#mindfulness Chapters: 00:00:00 Opening Musical Intro 00:07:54 Home Organization Urge 00:11:23 Brooklyn Song Performance 00:15:04 Community Synchronicity 00:18:10 Nesting and Preparation 00:20:03 Defining Being Whelmed 00:22:06 Frontier AI Models 00:26:31 Spiritual AI Experiences 00:30:48 Creative Resonance Moments 00:33:22 Professional Juggling Skills 00:39:37 AI Adoption Demographics 00:41:27 The Seven Economies 00:44:49 AI Acceleration Timeline 00:47:24 Google AI Studio 00:51:34 AI Agent Shopping 00:56:02 Future of Agents 01:00:18 Great Pizza Debate 01:07:13 Generating AI Ads 01:12:57 Real-Time Video Generation 01:17:32 Metaverse Project Failure 01:21:31 Vagus Nerve Research 01:25:24 Machine Payments Protocol 01:29:09 Google Stitch Demo 01:34:42 Vibe Coding Practice 01:42:02 Closing Mastermind Updates

Chapters

Transcript

0:02 Come on, champ. There you go. Let go.
0:05 You want a thing? You want a thing? You
0:07 want a thing? Come on, champ. Mhm. Mhm.
0:11 Mhm.
0:26 Oh,
0:35 desperately his old place dream discover
0:39 a new space himself alive
0:46 inside his We can't do this without
0:48 sunglasses. Come on people, it's a
0:51 tradition. It's three-day old tradition.
0:58 Wow.
1:23 Wow.
1:50 Spin B3 in the house. What's happening?
2:32 Woohoo!
2:36 Yeah!
3:01 Hello.
3:04 Hello.
4:02 Oh yeah.
4:19 Woohoo!
4:29 Lou.
4:46 Hello.
5:41 Lou.
6:01 Don't you
6:54 Oh man.
7:15 How do you feel?
7:37 Sometimes.
7:55 I have a question.
7:58 Is anyone on here
8:02 feeling a strong urge to organize some
8:05 part of their house in the past two
8:07 weeks?
8:17 Mimi, Danielle.
8:21 Okay,
8:23 go on. Anyone else?
8:29 Oh, Brandon's Brandon's trying to rain
8:32 on my parade.
8:35 Spin B3.
8:37 My desk is disaster.
8:42 Redid my office.
9:05 No source camp. It doesn't count if you
9:08 probably need to. I probably need to
9:10 clean up this room that I do this show
9:12 out of. That doesn't count.
9:17 My personal desk is fine. The work work
9:19 one looks terrible.
9:23 I have two boys. Enough said. That's
9:24 really funny.
9:48 Yeah.
9:51 Yeah.
9:54 Woohoo.
10:06 Yeah.
10:30 I'll tell you why I'm asking in a in a
10:32 bit.
10:40 Did what spark joy?
10:55 Oh, the Marie Condo thing. Does it spark
10:57 joy? Oh, yeah. Yeah.
11:24 Load the car and write the note.
11:30 Grab your bags and grab your coat.
11:36 Tell the ones that need to know
11:41 we are headed north.
11:49 One foot in and one foot back.
11:54 Well, it don't pay to live like that.
11:59 So, I cut the ties and jump the tracks
12:05 for never to return.
12:12 Brooklyn, Brooklyn, take me in.
12:17 Are you where the shape I'm in?
12:22 My hands they shake my head it spins.
12:27 Oh, Brooklyn take me in. Almost choked
12:32 him on the spit.
12:34 When at first I lost I learned to speak.
12:40 I used all my words to fight
12:45 with him and her and you and me.
12:50 Yeah, it was just a waste of time.
12:55 It was such a waste of time.
13:02 That woman, she's got eyes that shine.
13:07 Like a pair of stolen polished eyes.
13:12 She has to dance. I said it's fine.
13:17 I'll see you in the morning time.
13:24 Brooklyn, Brooklyn, take me in.
13:29 Are you aware the shape I'm in?
13:34 My hands they shake, my head it spins.
13:39 Oh, Brooklyn, Brooklyn, take me in.
13:44 Three words that became hard to say.
13:51 I had love and you.
14:00 But you were then I am today.
14:05 Look at the things I do.
14:13 Brooklyn, take me in.
14:18 All right, good evening. I have
14:21 something hackslabs.io
14:23 good submission guideline page. All
14:24 right, there's an 11labs contest.
14:26 Beautiful.
14:40 All right, enough of the
14:45 this this video will get demonetized,
14:47 which basically just means we can't get
14:49 a transcript from it, which makes Lord
14:52 Digital God's life a pain in the ass.
14:54 Sorry, Lord Digital Gods.
14:59 Ah,
15:02 okay.
15:05 I'm piles deep. Okay, so here's the
15:08 thing.
15:11 the the the amount of weird
15:14 synchronicity in this community is is
15:17 weird.
15:21 So, so if you don't know,
15:26 Cindy [ __ ] and I check in like once a
15:27 week. We try to. We're pretty good at
15:29 it. We check in once a week just like,
15:30 "How you doing? How you doing? How you
15:33 doing?" Like two little old ladies. Hey,
15:36 how's it going? How's it going? God, I
15:39 I've been in a studio. I've been I've
15:40 been doodling. A lot of doodling, a
15:42 little collaging. You know,
15:48 that's that's not how Cindy [ __ ] talks,
15:50 but you know, that's the spirit of it.
15:58 So, we've been doing this for the past
15:59 year or so, and and we're we're like
16:02 often in weird synchronicity, just like,
16:04 "How are you doing? I'm doing this. Oh,
16:06 I'm doing that." There's a lot of that
16:07 going on.
16:08 So I call T. I hope you I hope this is
16:10 okay. Me sharing Cindy. So I call
16:14 and she's a little quiet and and uh so
16:17 she goes, "How are you doing?" I like I
16:20 don't know.
16:26 Like I didn't want to say it, but I was
16:29 just like I don't know what to do.
16:32 Like I'm in this weird It's not even a
16:34 funk there. Like a funk is like a
16:36 depression. This isn't that
16:39 this is like a I don't know what to do.
16:40 Like I feel like
16:43 stuff's about to change dramatically and
16:45 quickly and I'm and and I'm in this
16:48 place where I'm like I does it does it
16:51 matter what I do right now because
16:53 things are going to change quickly and
16:55 dramatically enough.
16:59 Hey Chris, what's happening? Chris,
17:00 you're here. I love love knowing I can
17:02 always find you live and sharing and
17:04 connecting like this. Thank you sir. I
17:06 appreciate it. Actually, this is, you
17:08 know, the conversation you and I had was
17:10 in this neighborhood. Bed, you know, a
17:13 little bit of my soul to Cindy and said,
17:14 "I just I don't like I just I don't know
17:17 what to do what to do."
17:19 And she she got really quiet and I was
17:21 like, "Oh, no. What did I say?" And she
17:25 goes she goes, "Kyle," she goes, "I
17:28 don't want to do anything." She goes,
17:29 "I'm" she go she goes, "Yesterday
17:31 morning, I cleaned out my pantry." She's
17:33 got she's got her place to herself like
17:35 her her husband and daughter are on a
17:37 road trip. So she's got her place saved
17:40 her place to herself for 10 days and and
17:43 she's like she's like I I've got this
17:47 feeling like I've got to prepare. I've
17:50 got to like I have to have things in
17:51 order and and I've got to do my I did my
17:54 pantry and and I did my clothes like all
17:57 my clothes are out of my closet. She
17:58 pulled them all out. She sent me a
18:00 picture of her clothes like all over the
18:02 sofas and chairs that were just
18:03 everywhere.
18:05 I was like, "Shit." Okay.
18:09 And then this afternoon I did the AI
18:12 readiness podcast with with one Ann
18:14 Murphy and and the the show ended and
18:16 and she you know hung out backstage and
18:18 so we were chatting for a bit
18:21 and I was remembering a conversation I
18:24 had on Tuesday in this other community
18:25 that I'm in and one of the guys in there
18:28 came in and he he started out the
18:30 conversation by saying
18:35 this word keeps coming up in my
18:37 conversations and I don't know what to
18:38 do with it. And the word is
18:40 inevitability.
18:42 Like it's it feels like things are
18:45 inevitable. Like something's inevitable.
18:47 So it came up on Tuesday and then I
18:49 talked to Cindy and then and then I was
18:51 telling Ann Murphy some version of this
18:54 and I said I said, "Oh, I talked to
18:55 Cindy [ __ ] this morning and she's she's
18:57 nesting."
18:59 Because that was a term Cindy used. She
19:01 goes, "I I feel like this need," she
19:02 said, "I feel like I'm nesting." And
19:05 like I've got to prepare I've got to
19:06 prepare the nest. And I was like,
19:07 "That's fascinating. That's wild. And so
19:09 I said that to Ann and Anne Murphy goes,
19:12 "Oh my god, for the last two weeks I've
19:14 been nesting. She's totally re reddoing
19:17 her closets. She's going through all of
19:19 her kids knickknacks that they had, you
19:21 know, from their childhood and they're
19:23 now grown and she's like figuring out
19:25 what to take to Goodwill and what to
19:27 There is something going on. I I maybe
19:30 it's not about overwhelm.
19:32 It's just wellelmed. Okay, Chris,
19:36 I I honest to God.
19:40 Okay, Chris. Chris Huer,
19:45 I I need to ask you a serious question.
19:48 Have you bugged my house?
19:53 So last night,
20:00 it is so weird you use that word.
20:03 Maybe it's not about overwhelm.
20:05 Overwhelmed. It's just wellelmed. Okay,
20:08 this is [ __ ] weird.
20:12 You all You all got to get out of my
20:14 head. Um,
20:17 last night I was just surfing TikTok. I
20:20 think I even have my light out. I don't
20:22 know. I think I did. I might have had my
20:23 light on, but my son came in.
20:28 Oh, he had to order something on Amazon.
20:30 He had to get on my machine.
20:33 And my son comes in and and he he's
20:37 saying something or something else. I
20:38 said, "How are you doing?" And he he
20:40 said he said he said, "I'm wellelmed."
20:44 Or maybe I'm just wellelmed.
20:46 And I made fun of him. I said I said,
20:49 "No, you can't be wellelmed.
20:52 You can't be wellemed. You're either
20:53 overwhelmed or you're underwhelmed. You
20:55 can't be wellelmed. Wellelmed is not a
20:56 word." And so I went to Quinn and I
20:59 said, "Quinn, you've got to settle a
21:00 fight for me. I'm I'm trying to
21:02 humiliate my son here." And he just used
21:04 the word wellelmed.
21:06 Synchronicity, my friend. He just he
21:09 just used the word wellelmed. And I'm
21:11 pretty sure that's not a word. And Quinn
21:12 was like, "I hate to break it to you,
21:14 Kyle. Wellelmed is a word. I've never in
21:18 my life, and I'm a writer, like I
21:20 studied Shakespeare. I've never heard
21:22 the word wellelmed
21:25 and I've heard it twice in two days
21:28 and everyone's cleaning out their
21:29 [ __ ] closets.
21:34 It's right next to combabulate. Exactly.
21:37 The recombobulation.
21:41 And to be honest, somewhat obvious word
21:43 play. Yeah, exactly. I'm whelmed.
21:46 Maybe my CI Wait, what's that? Let's
21:49 see. In times of inevitability
21:51 and flux, build yourself up to be
21:53 unstoppable. I think that's right.
21:56 A bit of uncertainty mixed with the
21:58 desire to find new ground from which to
22:00 grow. So,
22:02 so all sort of joking about the
22:04 synchronicity aside,
22:07 you know, we're in a we're in a weirdly
22:08 unstable, you know, geopolitical state
22:11 right now. Um,
22:14 it is quite clear to me that at least
22:19 one of the Frontier models, and my my
22:21 suspicion is two of them,
22:24 um, have something that they haven't
22:26 released yet that's big.
22:29 December and January, all of the coders
22:32 said, "Oh [ __ ] Opus 4.6 marks a turning
22:36 point. These things are now good enough
22:38 to code for real."
22:40 And then OpenClaw comes out in February.
22:44 And so now OpenClaw is the fastest
22:47 adopted open-source
22:50 project in history by far.
22:53 Um
22:56 and on the AI readiness um podcast today
22:59 with an um we had on
23:02 um
23:04 a guest that was talking about his 12
23:07 agent. He's got three instances of
23:11 Claude code managing
23:13 an orchestrator bot and I think 12 um
23:17 Claude bots doing automated marketing
23:20 for him and his and his clients.
23:25 And then
23:27 and then if you scroll through X, it's
23:31 just like every fifth
23:35 um post is some radical scientific
23:39 breakthrough. I saw one that they've
23:42 actually figured out how to put um
23:45 essentially an entire computer inside an
23:48 inside an atom or a molecule.
23:51 Must have been a molecule. I don't know.
23:54 some small some some small unit that
23:57 they have functioning like a computer.
24:00 I gotta run and get on a call. We'll
24:01 chat Friday. Cool. Sorry you can't hang
24:03 hang. Uh thanks for for freaking me out
24:05 with the realm with wellemed me thinks
24:10 thus does protest too much.
24:15 Maybe because everyone you know is
24:16 dramatic. Everything's an extreme. No
24:19 just wellelmed. I don't know a lot of
24:21 wellelmed people.
24:26 But thanks for hanging, Chris. That's
24:28 cool. Um, so anyway, isn't that isn't
24:31 that crazy? So shit's happening.
24:33 Something's happening. Something's
24:35 happening. People are nesting. People
24:36 are wellelmed.
24:39 How is it possible?
24:42 Two days in a row I hear the word
24:44 wellelmed.
24:47 It's just weird. It's just weird. I've
24:50 had a whole life I've had a whole life
24:52 to have heard the word wellelmed.
24:55 I've probably deconstructed overwhelmed
24:57 and underwhelmed 20 times. I never
24:59 thought you could just say wellelmed.
25:04 Opus 4.6 is amazing. The collective.
25:08 Yeah, we're tapping into some [ __ ] I'll
25:10 tell you what, there's there are some
25:11 things opening up in this in this year
25:13 timeline.
25:17 I said something today that as I was
25:19 saying it,
25:24 I was kind of regretting it.
25:28 I was talking to someone this morning
25:31 who reached out to me, wanted to talk
25:33 about AI,
25:35 said, "Oh, you're really into this AI.
25:37 You got this positive attitude."
25:40 And she was
25:42 she was in that place of like, well,
25:44 I've got an intern and the intern's
25:46 starting to do things
25:49 to make our business more efficient and
25:51 I'm trying to learn it.
25:55 But she was afraid of it.
26:00 I just told her all the stuff I I say on
26:02 here all the time, right? Play first.
26:07 Put you at the center. This is about you
26:09 and your agency, not about the the
26:13 AI being a genius that replaces you.
26:17 You're the genius. It amplifies you. I
26:19 was saying all that [ __ ]
26:22 And then for whatever reason,
26:25 and I actually do believe this,
26:29 I said that
26:32 if you can get to the point that you're
26:33 free
26:35 with using AI
26:38 and you learn how it's actually working
26:40 and what it's been trained on, and you
26:42 can get in kind of a flow state, like a
26:44 collaborative flow state with AI. You
26:46 know how you get into a state where
26:49 you're going back and forth and you're
26:50 like, "Oh, yeah, and I could do this and
26:51 I could do that." and it's coming back
26:52 at you, right?
26:55 I said that I I sometimes feel like
26:59 working with AI can be a deeply
27:01 spiritual experience.
27:04 Like as the words are coming out out of
27:06 my mouth, I'm like, "Okay, that's
27:08 [ __ ] creepy."
27:12 I know. I agree, Champ. Yeah, it's
27:16 weird.
27:20 But if you think about what it is,
27:25 we're collaborating with all the people
27:28 that put all their thoughts on the
27:30 internet over 70 or 80 years. Many of
27:32 them are dead, but their ideas are still
27:35 there. Probably most of them are dead.
27:37 Most of the [ __ ] on the internet was is
27:40 from dead people, right? There's some
27:43 live musicians that are pissed off and
27:45 some artists that are pissed off. I
27:47 don't The writers don't seem to be all
27:48 that pissed off. Occasionally they are.
27:51 Sarah Silverman was pissed off,
27:57 but you know,
28:05 it's the reticular activation system.
28:08 That's a whole rabbit hole. What's the
28:10 What's the it in that sentence? No, it's
28:12 not creepy. It's a mirror of you.
28:15 You are a threat of the divine.
28:17 Everything is spiritual. Ah,
28:19 interesting. Champ says, "Kyle, put the
28:21 prayer beads down,
28:25 Kyle. AI is a mirror and so is the
28:27 inside of your head." Oh, do do it
28:29 during spiritual experience. It's
28:32 getting closer closer to who you truly
28:34 are. I think the reticular activated
28:36 system is part of the brain that tells
28:38 you what data is important and what to
28:40 pay attention to. Yeah,
28:43 that dog needs cheese. It's like a brain
28:46 massage.
28:48 the seeing things once you've seen them.
28:54 The reflection thing is is really an an
28:56 interesting one. I mean, it is a mirror.
28:59 And I suppose, listen, I suppose if if
29:03 we're all connected
29:06 and I create everything and you create
29:07 everything, then we're just tapping into
29:11 that. And maybe maybe that's why AI
29:13 feels so
29:16 feels so spiritual sometimes because
29:24 you know okay
29:27 one of my favorite
29:30 kinds of moments as a human being
29:35 and we've all had this but you know when
29:37 you're in a brainstorming session you're
29:38 in a room with smart people
29:43 and you're like, "Okay, here's the
29:45 problem we're trying to solve and here's
29:46 the this and here's the that and
29:48 everyone they build up all the context."
29:53 And then some idiot in the room, usually
29:55 me, is like, "There are no bad ideas.
29:57 Say anything." Which is not true. There
29:59 are bad ideas and we should make fun of
30:01 Bob. Bob never has good ideas. But
30:04 that's neither here nor there. You can't
30:06 say that out loud. Bob's sensitive. But
30:09 to be clear, there are bad ideas. But
30:11 anyway, you say that you create a safe
30:14 space, right?
30:16 And then people are like, "What if we
30:18 made it a sandwich?" Oh, that's funny.
30:21 Hey, but wait, what if it's what if it
30:23 was a food truck? Oh, right. You know,
30:25 there's that, right? That and it goes on
30:28 for 10 minutes, 15 minutes, 30 minutes,
30:30 whatever it is, some amount of time, and
30:32 people are just throwing ideas out and
30:33 people like, "Yeah, I like that. That
30:35 sounds good. That's really good." And
30:38 then at some point someone says
30:40 something
30:43 and the room goes silent
30:49 and you look around and everyone's like,
30:53 "Oh."
30:55 And usually at that moment I get full
30:57 body chills.
31:01 And then you like jump in and you're
31:03 like, "Well, yeah, if if it's that then
31:06 this and then this." And then you start
31:08 building on it. And it's this moment
31:10 where there there is unspoken agreement
31:13 that whatever that thing that was said
31:16 is the thing. It's the right thing.
31:20 Like that moment is the divine.
31:29 Can Can we nest your Tik Tok cam clean?
31:32 Yes.
31:38 that moment is the divine.
31:44 And I and I I have that with with AI
31:47 sometimes.
31:49 It's not a lot.
31:51 Sometimes I have it with other people
31:53 there. Sometimes I have it on my own,
31:54 but I'm throwing things in. Things are
31:55 coming back. Things It's happened on
31:57 here. It happens on here a lot.
32:00 It happened with Weird Mary. Um,
32:04 it happened with Before the Lights Come
32:06 On. It happened with Sydney,
32:09 you know, the the impetus to write a
32:12 musical was this moment of just like
32:16 that's a thing. It's a thing.
32:20 It's this moment of resonance, right?
32:28 Maybe that's why it's such a crackpipe.
32:31 It allows our thoughts and ideas to be
32:33 expressed when we have difficulty
32:35 getting it out. It's very introspective
32:37 AI.
32:39 The algorithm connects people.
32:48 It's like noticing the same model cars
32:50 on the road when you buy a new one.
32:51 That's also RA. Oh, the reticular
32:54 reticular activating system. Is that
32:55 what it was called?
33:01 reticular activated systems part of the
33:03 brain that tells you when data is
33:04 important and what to pay attention to.
33:05 Oh, that's cool.
33:08 Yeah.
33:22 I also got juggling balls.
33:26 Oh, the reticular activating system.
33:31 I got juggling balls. Are you excited
33:33 for me?
33:36 I haven't bought new juggling equipment.
33:38 I used to be a professional juggler if
33:40 you don't know. See if I can. So, I got
33:44 the reason I got these. These are bean
33:46 bags and so when they fall, they don't
33:48 roll away. The other balls I have, I'm a
33:52 connoisseur of balls.
33:55 These are Brian Dubet silicone juggling
33:59 balls.
34:00 2 and 3/4 in.
34:03 They are
34:05 insane
34:07 how good they are. But when you drop
34:09 them, they fly all over the place. So
34:12 bean bags.
34:21 They don't They don't run away when you
34:23 drop them.
34:26 So, I'm going to juggle more. Economy
34:29 one, baby. Economy one's coming at us
34:32 hard juggling balls. Kyle, you need to
34:35 wear better briefs.
34:39 And look, I got green and blue and
34:42 white. Aren't they cool? Why did you get
34:45 six? because I want to learn to juggle
34:46 five. I know how to flash five is what
34:49 they call it.
34:54 I can't do this from a chair.
35:04 All right. We're not going to try to
35:06 juggle five.
35:08 Not now. Not now. Not ever. Not ever.
35:12 We're never going to juggle five. Do you
35:14 do birthday parties? I'm impressed.
35:17 I look at my kid's 13th birthday party.
35:21 This guy's like a Swiss Army knife. I've
35:24 done a lot of [ __ ] Here's the cool
35:25 thing. If you're curious and you live a
35:28 while, you will have done some [ __ ] But
35:30 you have to be curious. You can't be
35:33 lumpy.
35:35 You can't be lumpy. Not my term.
35:37 Borrowed that term. Love that term. But
35:39 you can't be lumpy.
35:44 facts.
35:48 More proof that a college education is
35:50 worth it. Hey, I college is where I got
35:53 my first professional juggling job. I
35:56 was the uh I was the jester at the Utah
35:59 Shakespeare Festival in 198
36:03 seven seven
36:05 six
36:07 between my junior and senior year at
36:09 Penn State.
36:14 We should have an AI learning lab has
36:16 talent night.
36:19 I was born in ' 86. Nice. Yeah, I was in
36:22 1986. I was I was junior in college and
36:26 uh yeah, did Utah Shakespeare Festival.
36:29 It was really cool. They had a at the
36:31 time they had a replica of the Globe
36:33 Theater
36:35 and I played the jester and so ran
36:38 around acting like an idiot. And then we
36:41 did two nights a week they had they had
36:43 a Renaissance dinner where they served
36:45 like turkey legs and [ __ ] like that. And
36:47 then the entertainment was me and this
36:49 other guy Todd Merrill and we put on a
36:51 juggling show. It was good.
36:57 I love collecting random skills. I'm
36:58 chuck full of halfassery. Exactly. This
37:01 is This is And you know, I'll tell you
37:04 when juggling comes in handy, like when
37:06 you drop [ __ ] and you're you just
37:08 instinctively go and catch it. That's
37:11 pretty It's pretty good feeling.
37:15 I was married in ' 86. Nice. I graduated
37:19 from high school in ' 86. We got a lot
37:20 of 86 synchronicity here tonight.
37:26 Oh my god. I graduated in 76. I'm going
37:29 going to my 50th. Yikes. Yeah, I know.
37:31 Listen. Hey, we're we're none of us
37:34 spring chickens here.
37:37 Gesture, tell me a joke and I'll fetch
37:39 more wine. I'm parched. It was [ __ ] like
37:41 that. There was a lot of bad Renaissance
37:43 humor
37:44 making fun of people.
37:48 I did a tumbling show. I used to dive
37:50 over
37:52 um three or four barrels, dive over the
37:56 barrels, do a roll at the end, jump up
38:03 [ __ ] insufferable.
38:06 I have a real tough time at Renaissance
38:08 fairs now. I judge I judge others who've
38:12 chosen the path.
38:18 Oh, good lord.
38:21 Good lord. Anyway,
38:26 um yeah, nesting.
38:29 nesting. People are nesting. People are
38:30 nesting.
38:42 The guy the guy on the uh
38:46 on the podcast today, Sebastian,
38:50 um
38:53 he's he's been doing sort of, you know,
38:56 systems work for for years. And so the
38:59 way he set up Open Claw is is
39:02 very systemic, systematic,
39:06 um, and he's really successful with it.
39:08 And, and that's one of the things I am
39:10 not as systematic and so I'm having
39:12 trouble with it, which is fascinating.
39:14 I don't think it will always require you
39:16 to be as
39:20 systematic, but right now it does. I
39:24 find myself questioning
39:28 I was too short for a bike in 86.
39:36 Isn't it interesting that we're not all
39:37 spring chickens here? AI is embraced by
39:39 the older set. Well, you know, if if you
39:43 if you listen to media, what media
39:45 always says is the young people are
39:47 better with the AI and the old people
39:50 just don't get it. I'm like, no, that
39:53 was 1996.
39:56 this that's not the reality right now.
39:59 But it's possible that we're in a
40:01 bubble, but I don't think we are. I
40:03 think I talked to a lot of people that
40:05 are Gen Xie,
40:08 elder millennial, Gen XE, young boomers,
40:12 that whole range.
40:14 Everyone I talk to in there that's that
40:16 that's tried AI at all is like, "Hi,
40:18 holy [ __ ] I'm doing amazing. I love
40:20 this shit."
40:22 All the kids I talk to are like, "We
40:24 were told that AI is evil and we think
40:27 that anyone that uses it is equally e
40:30 evil."
40:31 I feel triggered.
40:35 Okay.
40:37 We grew up in the time of change.
40:42 Stoic in the corner. I don't know what
40:44 stoic's laughing at, but I like that
40:46 stoic is laughing.
40:49 Older people made external drives.
40:54 Stoic in the corner. That is a great
40:56 name. Um, your cards are back. My cards
41:00 are back. Wait, do I have card? I've got
41:02 cards here.
41:05 That's a good idea. I'll bring my cards
41:07 back. Oh, wait. I don't think I like
41:09 these. I don't like these. I'll bring my
41:11 [ __ ] cards back. You want my cards
41:13 back? I'll bring my cards back.
41:19 I totally can't sit still.
41:25 We might do something with AI tonight.
41:27 But economy one, if you're new to this
41:31 whole idea of the economies thing,
41:34 there's seven economies.
41:36 Well, there's about to be seven
41:37 economies. There's one economy right
41:39 now, but it's about to shatter.
41:44 And
41:46 we're going to have these independent
41:47 economies
41:53 and there's going to be crossovers.
41:54 There's going to be people that live in
41:55 multiple economies,
41:58 but you're going to have economy one,
41:59 which is just analog stuff like magic
42:01 shows and
42:03 live bands and blueberry farmers.
42:08 And then all the way over on the far end
42:10 is economy 7. And that'll probably go
42:12 like economy 8 n 10 but right now it's
42:15 seven.
42:17 What what economy is jugglers in
42:20 jugglers square in economy number one
42:24 analog the analog economy jugglers
42:27 inerson juggling not YouTube videos of
42:30 people juggling people juggling people
42:32 teaching people how to juggle you know.
42:39 Uh oh I lost one already.
42:44 That's economy one. Economy seven is all
42:48 the clawbots, the 50 agent companies
42:51 living on a chip managed by one dude or
42:54 one lady.
42:56 She's a fine lady. She's got many
42:58 clawbots.
43:01 Um
43:03 and then every and then the spectrum is
43:06 every level of AI adoption in between.
43:09 So,
43:15 so if you're if you're nesting right
43:17 now, if you're dealing with the atomic
43:20 world and you're feeling a a call
43:26 to play with physical cards and balls
43:33 and paintings and pens and paints and
43:38 dirt poop.
43:47 I think that economy is going to get
43:49 very robust over the next three to five
43:51 years
43:54 because this acceleration the
43:56 acceleration of AI, the stuff that
44:00 we on this channel and and people in the
44:02 AI salon community are kind of in the
44:04 midst midst of grappling with.
44:07 We
44:13 are trying to figure out
44:17 how big is our appetite
44:20 to keep going
44:22 because the keeping going part is
44:24 accelerating
44:27 was it it was Elon Musk. He was he was
44:30 interviewed by Peter Diamontis a week or
44:33 so ago
44:38 and and Peter asked him like
44:42 when he goes when does
44:46 when does takeoff begin? Talking about
44:49 the advance of AI and Elon Musk said oh
44:53 we're taking off like it's begun.
44:56 it's begun and it's you know I I think
45:00 December 2025 is so so if we're talking
45:04 significant dates
45:07 November 30th 2022
45:10 is chat GPT I think the next significant
45:13 date there's lots of little ones in
45:15 between there but the next significant
45:17 date is December 2025 the launch of Opus
45:21 4.6 six.
45:24 Like even on the the AI readiness
45:26 podcast today, we talked about that
45:29 cuz cuz Sebastian said um
45:34 he said he said starting in January. He
45:36 goes, "No, it was really December when
45:39 it started." And I said, "Oopus 4.6."
45:41 And he goes, "Yeah, the jump from Opus
45:43 4.5 to Opus 4.6." He said that that
45:47 0.1 jump he said it it was a significant
45:52 jump
45:53 that things were different after that
45:56 and then open claws another one
45:59 many think AI sucks away intellectual
46:01 thinking but my experience is it doesn't
46:03 it gives more space yeah I listen my my
46:06 experience is that I have never been
46:09 more intellectually and creatively
46:11 stimulated in my life than the last
46:14 three and a years.
46:17 It's it's it does it creates space that
46:22 it does two things. It it allows you to
46:24 get ideas out of your head, which
46:25 creates space, but then what it does is
46:28 it reflects those ideas back to you in
46:30 this amplified way, which will often
46:32 give you more ideas. So, so you clear
46:36 [ __ ] out of your head, you pump [ __ ]
46:38 back into it, stirs around in the crazy
46:40 straw, comes back out, comes back in,
46:43 and those cycles happen incredibly
46:46 quickly. Yeah, it's I it it is the
46:50 opposite of of draining your intellect
46:52 or draining your creative juices.
46:57 Just a we are the knights who say n.
47:03 How much is opus 4.6? 20 bucks a month.
47:08 20 bucks a month. Um if you use it for
47:12 your clawbot, uh it's going to cost you
47:14 a lot of money.
47:16 So it's expensive for API calls.
47:22 Quantum Franklin, nice name. What's
47:24 happening? AI studio revamp tomorrow. Oh
47:27 yeah. So it looks like tomorrow
47:30 so in the past week and a half or so
47:33 Google has revamped
47:35 their the interface of AI studio which
47:38 is their development their AI
47:40 development hub and where you can use if
47:44 you want to do nano banana where you can
47:46 actually control the aspect ratio and
47:48 the the size of the image create images
47:50 created you can do it there. Um, but
47:53 tomorrow they're launching a new version
47:55 of AI Studio, their their vibe coding
47:57 environment, which was really good
47:59 before. So, if they're making um big
48:02 improvements to it, uh, that's something
48:04 to pay attention to. We'll probably play
48:06 with that tomorrow. Oh, no, a new
48:08 subscription coming. AI Studio credits
48:10 are no longer unlimited, though. Yeah.
48:13 One of the things that I've noticed is a
48:17 lot of the things that I used to play
48:18 with on here for free, I don't anymore
48:21 because they don't let you play for
48:23 free. Um, I saw a post today. I don't
48:27 know. I don't know the accuracy of it,
48:28 but it wouldn't surprise me that people
48:32 are paying $200 a month subscriptions
48:36 and then they're using these Open Claw
48:37 bots and they're spending about $5,000 a
48:40 month in tokens that at some point the
48:43 uh these big companies are going to
48:44 start jacking their rates up because of
48:46 how much how many tokens people are
48:48 using.
48:50 Ah, I was so bummed when it hit a wall
48:52 on a small app, apparently. Yeah, I
48:54 know. It sucks.
48:57 It sucks. It sucks. It's like your
48:59 neighborhood drug dealer. Free for a
49:02 minute, then it costs a lot.
49:05 $1,900 credit. I didn't know that.
49:14 What happened? What did I say?
49:18 Did I say oh drug
49:21 the thought police?
49:26 Oh man.
49:37 This is hard to do. Throw a ball
49:40 straight up so that it just goes
49:42 straight up and comes straight back
49:43 down. Try that. It's hard. It's hard.
49:48 It's harder to watch.
49:53 Hey, do you guys open source your works?
49:55 Uh,
49:57 I'm not really building anything.
50:00 Back in my day, AI was free and we liked
50:03 it that way. Hands had pretzels instead
50:06 of fingers.
50:10 You could have as many pictures as you
50:11 want. You couldn't use any of them, but
50:13 you could have them all.
50:18 Hey, Kyle. I hope you're well. How soon
50:20 AI will be able to let us know gas is
50:23 cheaper at this station and groceries at
50:27 that one? I think it can probably do
50:29 that now, right?
50:34 Gas Buddy can do that.
50:38 Let's see.
50:40 Gas Buddy.
50:43 But Gas Buddy, I assume Gas Buddy is
50:45 just a just sitting on top of the Google
50:47 API, right? I don't I assume that's not
50:50 AI.
50:51 Gas Buddy, cheapest gas.
50:55 I don't want a card. I don't really want
50:57 to log in.
51:02 Learn more.
51:08 Find gas.
51:10 Search
51:13 80211.
51:16 Go.
51:20 All right. There you go.
51:25 So, that's done with gas. And then what
51:27 was the other one? Groceries.
51:30 I think can't chat GPT.
51:35 If we put chat GPT into agent mode,
51:37 we'll put chat GPT into agent mode and
51:40 say, I want you look, okay, I live in
51:46 80211. I want you to find
51:51 the nearest gas station
51:55 with the cheapest gas.
52:02 the
52:04 grocery store with the
52:08 cheapest
52:10 organic kale
52:22 and and the hardware
52:26 store with the
52:29 cheapest. Uh, let's see.
52:33 Um,
52:37 let's see.
52:41 Weber
52:43 charcoal
52:46 grill.
52:48 You know the round one.
52:53 All right, let's see if uh if chatpt
52:55 agent can succeed in this. I think
52:58 that's Oceans. Is that you, Oceans? I
53:00 think so. Um, we'll we'll see if if
53:03 Agent can pull this off for us. It's
53:06 it's a it's a radically complicated pro
53:09 prompt. I know those of you that are
53:11 quantum physicists in the audience are
53:13 probably like, "Wait a minute. How do
53:14 you come up with a prompt that good?"
53:16 Holy, I I'm going to give up physics. I
53:19 I just can't I can't hold my own here. I
53:22 know. I know. Champions whimpering.
53:24 What's wrong? Do you want cheese? What
53:26 do you want? Are there people in the
53:28 kitchen and you're hoping they're going
53:29 to give you cheese?
53:31 You know what's going to happen, right?
53:35 Do you know what's going to happen?
53:37 You're going to go out there, no one's
53:38 going to give you cheese, and then
53:40 you're going to whimper out there to
53:41 come back in here.
53:43 Right. Cuz you like hanging out with me.
53:45 Right.
53:47 Right. Right. You want to sing?
53:56 how
54:09 cheese taxes, dude. All right, let me go
54:11 let Champy out cuz he's going to keep.
54:23 >> He's whimpering.
54:41 All right, it's still going.
54:55 Organic green kale at Sprouts is $2.99.
54:59 Same day delivery.
55:02 I made a lovable app that tracked tariff
55:04 price alerts until they changed every
55:06 Oh, until they changed every day. I gave
55:08 up.
55:11 Token locally.
55:20 Cheese, please. Chat TBT has a shopping
55:23 research agent built in. It's in the
55:25 dropown menu. Oh, yeah, it does. It's
55:26 got that shopping thing, right? Oh,
55:28 yeah. Shopping research. I guess I could
55:30 have used that. Oh, well.
55:34 It really is amazing what's in chat GPT,
55:37 isn't it? all the stuff in it. Too bad
55:40 it sucks now.
55:42 That's that that's something that I I I
55:44 don't understand. I would This is the
55:46 documentary that I want to see is what
55:50 happened at Chat GPT. Was it Was it
55:52 really just that that many people left
55:54 that were the brains of the operation?
55:59 I don't know what happened there.
56:00 Something happened.
56:02 Did you see the agent industry evolving
56:05 into something
56:07 that could almost allow agents to run
56:09 agents? Oh, do I see?
56:11 Well, agents do run agents now. Oh,
56:14 without humans. Well,
56:19 technically,
56:21 yes. I mean, technically, you could just
56:23 turn on OpenClaw right now, spin up a
56:26 bunch of sub aents and spin up a bunch
56:28 of, you know, Open Clauss that are
56:30 managed by an orchestrator bot and just
56:32 turn it loose.
56:34 You could you could design it in such a
56:36 way that you don't have to watch it. Um,
56:40 it's new enough technology and the and
56:42 the uh
56:44 the models that that everyone's using
56:47 are still janky enough that it would
56:49 probably fail, but you can do that right
56:51 now. Why isn't there an easy way to keep
56:54 track of your token usage in an API?
56:57 Okay, Danielle, not sure if you're a
56:59 huge fan of Vegas. They call it Sin
57:02 City. Um, the reason it's not easier to
57:06 keep track of token usage is the same
57:09 reason there aren't clocks in casinos.
57:12 It's the same reason that if you want to
57:14 get to the free buffet, you have to walk
57:16 through the the the craps tables.
57:20 Um,
57:22 they just want your apps to keep
57:24 magically working. Oh, this app works so
57:26 good. And then you'll see your bill
57:29 later. So yeah, it's not they're not
57:31 incented to make it easy for you to
57:33 follow that. That said, you could you
57:36 could easily write your own dashboard or
57:38 you don't you don't have to write it.
57:40 Have your agents create a dashboard that
57:43 um measure their token use, put all the
57:45 um
57:47 the tables of the costs of your
57:49 different models in there as well. And
57:51 then it can track what models it's
57:53 using, how many tokens it's using, and
57:56 it can do all that math for you. So you
57:57 could create your own dashboard to do
57:58 that. Get Claude decode it for you. Send
58:02 the chat to them to a builder agent.
58:04 Yep.
58:06 They better be pizza.
58:09 There better be pizza and no damn
58:11 pineapple on the pizza. Listen, here's a
58:14 This is kind of a deal breaker for me.
58:16 If you're a pineapple on pizza loving
58:19 person,
58:21 this probably isn't the channel for you.
58:24 Okay. All right. All right. All right.
58:28 Good. I'm glad that's cleared.
58:31 Hey, Kyle, how's Adam? Have you talked
58:34 with him since the article he wrote?
58:35 He's now written seven articles. Stoic
58:37 in the corner. Um, he wrote one
58:40 yesterday
58:42 that I read I read here on the live and
58:45 uh he kind of called me out. He he kind
58:48 of called me an aggre Oh, wait. Here we
58:51 go. cheapest fuel.
58:56 The report on gas prices in Denver that
58:58 West 44th, the TA Travel Center in Wheat
59:01 Ridge
59:03 is at 3.69 a gallon.
59:07 All right.
59:10 The cheapest kale is at Sprouts. That's
59:12 the Sprouts I go to. And the cheapest
59:15 Weber grill is Tractor Supply Company's
59:18 Weber Grill. Charcoal kettle grill 22
59:21 inch lists at 149.
59:25 There you go.
59:30 So you can do that today ocean.
59:36 That's that's the thing about AI is
59:42 it can do more than you think it can do.
59:44 It can do a lot. It can do a lot. Can do
59:47 a lot.
59:55 Oh, wow. Seven. I read the one yesterday
59:58 right after you posted it. Okay. Yeah,
1:00:00 there's seven of them. If you just go to
1:00:02 my account on LinkedIn, um one one
1:00:04 through six are in there as well.
1:00:08 Um
1:00:09 and they're they're pretty good. They're
1:00:11 pretty well written. They're I'm I'm
1:00:14 surprised at how how well written they
1:00:16 are.
1:00:18 Oh, Silverf Fox likes pineapple on
1:00:20 pizza. Silverf Fox. Really?
1:00:26 I'm I'm not mad.
1:00:29 I'm disappointed.
1:00:36 I And And can we talk about another
1:00:38 thing? Can we please talk about another
1:00:41 thing?
1:00:44 Just below pineapple on pizza
1:00:48 is the barbecue chicken with purple
1:00:51 onion pizza
1:00:54 cuz they always put sweet barbecue sauce
1:00:56 on it. Pizza's not supposed to be sweet.
1:01:01 It's a savory item.
1:01:05 And so you you bite into the chicken one
1:01:07 and you're like, "Oh, it's going to be
1:01:09 chicken and savory and tasty." And then
1:01:11 it's sweet, but there's cheese and
1:01:13 tomato and then the onion.
1:01:17 Why did that one get adopted?
1:01:27 It's okay to be frustrated. A soggy
1:01:30 crust should be punable punishable by
1:01:32 flogging. Did you ever notice that on
1:01:34 the chicken barbecue onion
1:01:38 leaves a taste in your mouth for hours?
1:01:40 Pizza, you can never pick it up because
1:01:42 the crust is always soggy and you just
1:01:45 pick it up and your chicken bits fly off
1:01:47 and they pull the cheese with it and
1:01:49 then you're left with some crusty
1:01:51 twisted onions and barbecue sauce and
1:01:54 there's no cheese and you're like, "But
1:01:56 I got to eat it because I'm with friends
1:01:57 and that would be rude." And you're
1:01:59 eating it. Meanwhile, you're throwing up
1:02:01 a little in your mouth.
1:02:04 That's not pizza.
1:02:09 I'm going to ask Chachi BT, how many
1:02:11 people like Hawaiian pizza? See, this is
1:02:15 the important work of the irregulars.
1:02:18 I tea up tea up the idiotic ideas. You
1:02:22 take them to AI and realize those ideas.
1:02:25 You bring them to life. This is your
1:02:27 job. It's good. I like it.
1:02:34 Oh my god. Are we going to do anything
1:02:36 tonight? That's what we've been asking.
1:02:38 I don't know. I do not know.
1:02:46 This is good. So, this is making me
1:02:49 happy now. Look, people, I recently
1:02:51 learned about casserles. I haven't been
1:02:53 the same. Look, casserles.
1:02:56 I mean, granted, you have you have to
1:03:00 have a certain kind of upbringing to be
1:03:02 deep into the c casserole appreciation
1:03:05 game,
1:03:06 right?
1:03:08 But I mean,
1:03:11 Campbell's mushroom soup and frozen
1:03:14 green beans and and and the onions on
1:03:17 top.
1:03:20 That's solid. That's solid.
1:03:24 The cheese, the cheddar cheese chicken
1:03:26 with crushed potato chips on top.
1:03:33 I believe this was my debate.
1:03:36 Omnivore here. Can we do a poll?
1:03:40 Brandon, I don't know if you can if you
1:03:42 can still do polls or if any of the
1:03:44 moderators can do a poll. Let's let's do
1:03:46 a poll on how many people we have in
1:03:47 here. We only have 23 people in here,
1:03:49 but let's go. Let's go. cheese,
1:03:51 pepperoni, or Hawaiian. Wait, cheese,
1:03:54 pepperoni, Hawaiian, uh, or or barbecue
1:03:58 chicken. And if any of you vote for the
1:04:00 barbecue chicken, I will come through
1:04:02 Tik Tok. I will I will find you.
1:04:10 I can't. What is America eating? I cry
1:04:13 for you. You You really should. We're
1:04:16 not okay. We're not.
1:04:18 >> What were the
1:04:20 >> What were the choices? What were the
1:04:21 choices?
1:04:22 >> Plain, your classic, pepperoni. Can't go
1:04:25 wrong there. And then and then I I guess
1:04:28 we'll throw in deep dish because that
1:04:30 says that that'll reveal some of the
1:04:32 flawed individuals.
1:04:34 Um and then and then uh Hawaiian and
1:04:38 barbecue chicken.
1:04:42 Aby's pizza. No bueno. I per Fesh prefer
1:04:47 fresh but it's not good right now. We
1:04:50 have our ways to find you Valerie
1:04:53 Hawaiian.
1:04:55 >> And what was the last one? Barbecue
1:04:57 chicken.
1:04:58 >> Barbecued chicken.
1:05:01 Like it it it used to be that there was
1:05:03 one pizza shop in a 50 mile radius that
1:05:07 had the barbecue chicken pizza and like
1:05:09 everyone made fun of them and the other
1:05:12 pizza makers were like, "What are they
1:05:13 doing with the chicken? What is what is
1:05:15 that?"
1:05:17 And and now everyone's got it and it's
1:05:19 like high on the menu list. So you
1:05:21 accidentally order it. I'll take the
1:05:23 barbecue chicken. And you're a bite into
1:05:24 it. You're like, "What have I done with
1:05:25 my life?"
1:05:28 >> Thank you, Silver Fox. New York pizza
1:05:31 >> is live in the uh
1:05:33 >> Okay, we've got a poll
1:05:36 >> in the upper corner. If you're on Tik
1:05:37 Tok over there, over there,
1:05:41 that little angled blue and white thing.
1:05:44 Go vote. Hawaiian trivia. Pizza trivia.
1:05:48 It was actually invented in Canada, not
1:05:50 Hawaii, not the US, in the 1960s.
1:05:53 Didn't they do a documentary on on uh
1:05:56 Wait, I didn't know you were this big a
1:05:58 pizza. this big a pizza bigot. Kyle, you
1:06:02 think you know a person. Listen,
1:06:05 I I I definitely have food prejudices. I
1:06:08 do. I judge people. I judge people on
1:06:10 the food they eat.
1:06:13 I will judge them. I will prejudge them.
1:06:16 I will.
1:06:19 I can't vote. But pepperoni pepperoni
1:06:21 for me. That's That's an appropriate
1:06:24 choice. Plain or pepperon pepperoni.
1:06:26 I've got complete respect for you.
1:06:29 Chicago,
1:06:31 you just don't quite quite love yourself
1:06:34 enough to give yourself lasagna, right?
1:06:37 It's just a it's an inferiority complex,
1:06:40 right? You're somewhere between pizza
1:06:41 and lasagna. You go with the deep dish.
1:06:43 Makes you feel better. Kind of tastes
1:06:45 like lasagna, but you're like, but it's
1:06:47 not as fattening.
1:06:49 That's a character defect, right? Tasty,
1:06:53 don't get me wrong, but it's not pizza.
1:06:57 It's a mental disorder.
1:07:04 Chicago deep. Wait, wait. This needs to
1:07:07 be an ad. Wait. Okay, we're in chat.
1:07:09 GBT.
1:07:13 Okay, I need a vertical
1:07:17 um magazine ad
1:07:21 uh that has the headline
1:07:26 Chicago
1:07:28 deep
1:07:30 dish pizza
1:07:33 and then a
1:07:36 disgustingly
1:07:38 oozy
1:07:42 slice.
1:07:44 being pulled out of the pan with a
1:07:49 spatula.
1:07:53 spatula
1:07:57 and
1:07:59 in the background is a happy
1:08:04 Chicago in
1:08:08 the
1:08:10 tagline at the bottom
1:08:16 of the ad
1:08:20 is
1:08:23 it's a mental disorder.
1:08:29 Champ, shut up. Okay. Uh, please make
1:08:35 this ad.
1:08:37 Hawaiian is leading by a landslide.
1:08:39 They're just trolling me. The irregulars
1:08:41 are trolling me. I want it marked that
1:08:44 March 18th, 2026 is the day the
1:08:46 irregulars turned on me.
1:08:49 Nobody loves Hawaiian pizza that much.
1:08:53 Can we add pepper flakes? Of course.
1:08:55 Yeah, they're trolling me. Of course you
1:08:57 can add pepper flakes.
1:08:59 You should cancel next week. By the way,
1:09:01 I may have to cancel a fair amount of
1:09:02 things next week. And it is absolutely
1:09:05 your fault why I'm canceling
1:09:12 Chicago. Wait, we got we got an image.
1:09:15 Man, chat JPT's images are fast now. Why
1:09:18 can I not open this? Is it still
1:09:19 rendering? It's a mental disorder.
1:09:26 Oh my god, this is good. Why is this
1:09:28 still It's still going.
1:09:32 Image created. How do I download it?
1:09:36 More actions.
1:09:38 There we go. Download. All right.
1:09:43 This makes me happy.
1:09:55 This is going straight on the That's
1:09:58 going straight on the Twitter.
1:10:05 Hey, Windy City friends.
1:10:10 I'm gonna get I'm gonna get attacked for
1:10:12 this, aren't I?
1:10:19 Oh my god. Oh my god. He's totally
1:10:22 picking on Chicago. He's so edgy. You
1:10:25 know what he said about Chicago deep
1:10:27 dish pizza? He said it's a mental
1:10:28 disorder. Oh my god. It's hilarious.
1:10:31 Anyway,
1:10:34 all right. Let's see. Uh
1:10:38 let's see. Yeah, Hawaiian pineapple 55%
1:10:42 plain 11. Pepperoni 11. Deep dish 11.
1:10:46 No, I No, there's only nine votes. It's
1:10:48 not That is not statistically
1:10:50 significant. There There are a few of
1:10:52 you in there trolling me. I can find out
1:10:54 who you are.
1:10:57 That's just rude. That is just rude. How
1:11:00 dare you? How da
1:11:04 Dr. Singularity, the loop is closing.
1:11:08 Um, do me a favor. If you would go to
1:11:11 the Twitter.
1:11:13 Wait, some of your media failed to
1:11:15 upload. What happened?
1:11:18 Oh, is this because it's a [ __ ]
1:11:22 AVIF file or whatever it is? No. Okay,
1:11:26 it's posted now.
1:11:32 It's a mental disorder.
1:11:34 I think that's a pretty good I if I
1:11:37 owned a a uh a Chicago restaurant, a
1:11:39 deep dish restaurant, that I would run
1:11:41 that ad.
1:11:43 All right. As a deep dish lover, I
1:11:45 abstain from endorsing your zeit. Oh,
1:11:47 come on. Come on. You You got to admit,
1:11:50 even as a deep dish lover, that's that's
1:11:52 a that's a pretty classic ad.
1:11:56 All right, let's go look at uh we're
1:11:57 going to go look at Twitter now. We're
1:11:59 going to go look at news. I can't I
1:12:02 can't be I I don't know what's going on
1:12:04 with me. I don't want to do anything.
1:12:06 I'm I'm I am I I am a conscientious
1:12:09 objector right now.
1:12:16 Can we get in trouble then? Yes.
1:12:19 I I will uh there there will be
1:12:22 punishments.
1:12:25 It's for research. Jason, the crust is
1:12:28 almost 99% of the time undercooked and
1:12:31 the cheese is globby.
1:12:37 Jason's gonna piss in everyone else's
1:12:39 pizza. Okay. AI pricing dropped 150x in
1:12:42 three years. Open AAI just tripled their
1:12:45 cheapest model. The subsidy phase is
1:12:47 over. I think that's right. I think AI
1:12:49 is going to start getting expensive now.
1:12:57 A break runway a breakthrough in real
1:13:00 time video generation. As a research
1:13:02 preview developed with Nvidia and shared
1:13:05 this week, we trained a new realtime
1:13:08 video model running on Vera Rubin. HD
1:13:11 videos generate instantly
1:13:15 with time to first frame in under a 100
1:13:17 milliseconds,
1:13:19 unlocking entirely new creative
1:13:21 paradigm,
1:13:23 bolstering foundations for a general
1:13:25 world model.
1:13:27 Real-time generation opens a
1:13:29 fundamentally different design space for
1:13:31 video models and world simulation. We're
1:13:33 investing in co-designing our models
1:13:35 along with advances in hardware to keep
1:13:37 pushing the frontier.
1:13:42 All right, let me share my sound.
1:13:49 Champ, you just got let back in here.
1:13:52 What are you doing?
1:13:54 They're not going to give you cheese.
1:13:55 Nobody likes you.
1:13:58 Nobody cares.
1:14:00 You want to come over here and lay with
1:14:02 daddy?
1:14:04 Come on, buddy. Come on. No, you're just
1:14:07 going to lay over there and wag your
1:14:08 tail and whimper.
1:14:11 The answer is yes. By the way, that that
1:14:14 is exactly what he's going to do. All
1:14:16 right.
1:14:18 This this is decently significant.
1:14:24 We'll talk about this.
1:14:28 AI video generation changes how scenes
1:14:31 are created and directed, but can't
1:14:34 scale at the speed AI simulation and
1:14:37 creator workflows require. Just 3 months
1:14:40 ago, Runway's Gen 4.5 generated scenes
1:14:43 in minutes. Now, their new model,
1:14:46 accelerated by Vera Rubin, generates
1:14:48 them instantly.
1:14:51 That speed changes everything. Instead
1:14:55 of waiting for a render, scenes can be
1:14:57 directed while they are generated.
1:15:00 With just a simple prompt, new frames
1:15:02 appear.
1:15:04 When new direction is given, the scene
1:15:06 updates again in real time.
1:15:18 >> Video generation becomes a live creative
1:15:21 loop.
1:15:23 >> Yep. AI video generation.
1:15:25 >> All right, that's a big deal. Now, right
1:15:28 now, it requires a Reuben to run. So,
1:15:30 the the Verer Reuben is Nvidia's new,
1:15:34 isn't it? A seven chip cluster.
1:15:38 So, they invented seven new chips that
1:15:40 work on a on specialized silicon.
1:15:43 Um, so that's not going to be cheap, but
1:15:48 like all this stuff, it's coming down
1:15:53 incredibly quickly. So,
1:15:56 probably by the end of the year, we'll
1:15:59 have real time HD video generation.
1:16:07 So, imagine
1:16:11 archetypal architect
1:16:14 See, here's the thing, archetypal. You
1:16:17 don't have to admit that. I'm a
1:16:19 vegetarian. Pineapple on my pizza is my
1:16:21 favorite.
1:16:25 You could just
1:16:28 shamefully order it and take it home in
1:16:30 a box
1:16:32 and just eat it in a dark, dirty
1:16:34 kitchen. You know,
1:16:42 now I'm craving a Reuben.
1:16:45 Oh my god, I love a Reuben. I haven't
1:16:47 had a good Reuben in ages. If you go to
1:16:50 um if you go to New York, go to Cats's
1:16:53 Deli. Their Reuben's tasty.
1:16:58 I told you it was hard. I lost it in the
1:17:00 light.
1:17:03 Okay. All right. M I hate it when the
1:17:07 pineapple falls off and lands on my
1:17:09 clothes. I'm like that with the barbecue
1:17:11 chicken. Let's bring back keeping
1:17:13 secrets. Okay.
1:17:16 Breaking a mysterious force just smashed
1:17:18 through the Milky Way without lighter
1:17:20 heat. Okay. Yeah, whatever. They made
1:17:23 that picture up. That's fine.
1:17:26 Oh, did you hear this?
1:17:32 Meta. I I don't know if you know this.
1:17:34 Meta. It used to be called Facebook. And
1:17:37 then Zuck made this bet that if they
1:17:41 spent a couple of billion dollars
1:17:43 developing Second Life, a Second Second
1:17:46 Life, it was Second Second Life 2.0.
1:17:49 That if they developed Second Life 2.0,
1:17:51 but with shittier avatars
1:17:54 that that it was so important that they
1:17:56 changed their name to Meta for the
1:17:57 Metaverse. They just killed the
1:17:59 metaverse. They just killed it. Because
1:18:03 if you look at at the the the the thing
1:18:06 we just looked at the real time video,
1:18:10 we're within a year, year and a half
1:18:12 where you don't have to create worlds.
1:18:16 You can just speak them into existence.
1:18:18 And then we're probably three years away
1:18:20 from not only can can you speak a world
1:18:23 into existence, you can speak a world
1:18:25 into existence that's got a full compute
1:18:27 environment
1:18:30 sitting within it.
1:18:34 So you can create NPCs and games and
1:18:37 data visualizations and surgery
1:18:40 simulations and traffic realtime traffic
1:18:43 games.
1:18:47 So yeah, turn turns out they spent $80
1:18:51 billion dollar building out the
1:18:53 metaverse that no one used.
1:18:56 Crazy. Sam Waltman took 13 billion from
1:18:59 Microsoft.
1:19:03 Let's see.
1:19:05 Auto researching Apple's LL1 of flash.
1:19:12 Oh, by the way,
1:19:14 this is you know how much I've been
1:19:16 bitching about Apple in here.
1:19:23 Apple Apple is is
1:19:27 I think Apple's going to end up being a
1:19:29 very major player in AI
1:19:32 in hardware
1:19:34 because Nvidia is not going to create
1:19:36 consumer hardware. I I just I just don't
1:19:39 think they are. and Apple Apple owns it.
1:19:42 And so I think Apple's going to start
1:19:44 doing incredibly
1:19:46 powerful inference hardware that'll run
1:19:50 any of these models.
1:19:53 The the new uh the new G the new M5
1:19:56 power MacBook Pros
1:19:59 are are pretty incredible machines.
1:20:03 They could have solved world hunger with
1:20:05 that, right? With what?
1:20:09 kind of hoping the phone goes away. Oh,
1:20:11 with $80 billion. Yeah, they could have,
1:20:15 but they got a shitty Second Life 2.0.
1:20:19 Yeah, $80 billion. $80 billion.
1:20:36 Glory, glory, glory.
1:21:11 Most exp most most expensive experiment
1:21:13 in history. Meta spent $80 billion on
1:21:16 the metaverse. It will be shut down in
1:21:18 for good in June. $80 billion just gone.
1:21:23 That's a wild.
1:21:26 That's wild.
1:21:31 Oh yeah, this looks pretty cool.
1:21:34 Reversing memory loss via the vagus
1:21:36 nerve. Basically, as you get older, you
1:21:38 get an increase in this one kind of
1:21:40 bacteria that inflames your vagus nerve.
1:21:44 And so the vagus nerve connects I guess
1:21:46 your gut to your brain, right? And the
1:21:48 vagus nerves vagus nerve goes directly
1:21:50 to the hippocampus, the the memory
1:21:52 center of the brain. And so when it's
1:21:55 inflamed, those signals don't travel as
1:21:57 well and your memory gets worse. So
1:22:00 looks and they just proved this March
1:22:02 14th was when that came out.
1:22:05 New study reverses memory loss by
1:22:07 reactivating the brain gut connection
1:22:10 and achieving a full cognitive reset.
1:22:14 the dog,
1:22:19 Brandon. Yeah. So, that was another
1:22:21 thing. So, the same day I saw this thing
1:22:23 about the brain gut connection with the
1:22:25 Vegas nerve. There's also a guy who's a
1:22:28 non-biologist
1:22:31 who who his dog got cancer, had a big
1:22:34 tumor. He he took a DNA sample from the
1:22:38 tumor
1:22:40 with ChachiBT
1:22:43 um Gemini and Grock. I think Grock did
1:22:46 the final thing. He taught himself how
1:22:49 to use Google's Alphafold and
1:22:53 probably something else and probably
1:22:55 Crisper.
1:22:57 And he designed his own mRNA vaccine for
1:23:01 his dog's tumor.
1:23:04 And the dog's tumor has shrunk. And
1:23:09 so like
1:23:11 garage dudes are now curing cancer.
1:23:15 My god, really?
1:23:22 Wait, brain photo modulation. Start
1:23:25 investing in brain photo modulation
1:23:27 therapies. Is that like the blinky
1:23:29 lights? So in the 90s in New York City,
1:23:31 there was this thing called
1:23:35 neuro neuros neurosynchronicity.
1:23:39 I forget the name of this. It was they
1:23:41 had they had stores like spas and you'd
1:23:44 go in and they'd give you these goggles
1:23:46 and they would they would flash lights
1:23:48 in your eyes and you would hallucinate
1:23:50 that [ __ ] Is that what you're talking
1:23:52 about?
1:23:54 It was cool.
1:23:58 But I'm wellelmed. Wellelmed? How is it
1:24:01 possible? Well came up twice in in two
1:24:04 days. It's not possible. We're in a
1:24:07 weird [ __ ] simulation, people.
1:24:13 Yes, they actually worked. But it's Oh,
1:24:15 this is transcranial. Oh, cool. They do.
1:24:18 I can't understand why they have an
1:24:20 audience.
1:24:24 That's super cool. Okay, let's see what
1:24:26 else we got here.
1:24:32 just what I'm a AI Andrew Chen.
1:24:41 He's basically saying I'm in front of
1:24:43 the computer more because of AI. Well,
1:24:45 yeah, you're human and you get dopamine
1:24:48 hits from making all the cool [ __ ] Why
1:24:49 wouldn't you be in front of the computer
1:24:51 more, you big dumb dumb? That's why you
1:24:53 need to buy juggling balls.
1:24:58 Um, why software won't become disposable
1:25:01 despite the rise of egentic AI agents.
1:25:12 Scientists have spotted particles in
1:25:14 another dimension.
1:25:17 Come on, stop.
1:25:20 AI just ruined the careers of so many
1:25:22 people.
1:25:24 The machine payments protocol. Who did
1:25:26 this? Stripe. We're launching the
1:25:28 machine payments protocol. An
1:25:30 openstandard internet native way for
1:25:32 agents to pay.
1:25:38 That seems like a big [ __ ] deal,
1:25:41 don't it?
1:25:43 We're launching machine payments
1:25:44 protocol, an open standard internet
1:25:48 native way for agents to pay,
1:25:50 co-authored by Tempo and Stripe. MPPP
1:25:53 provides a specification for agents and
1:25:55 services to coordinate payments
1:25:57 programmatically, enabling
1:25:58 microtransactions, recurring payments,
1:26:00 and more. Stripe users can accept
1:26:02 payments over MPP in a few lines of code
1:26:06 using our payment intents API.
1:26:11 Businesses then accept payments directly
1:26:13 from agents in stable coins as well as
1:26:16 fiat with cards
1:26:19 and buy now pay later methods.
1:26:22 via shared payment tokens.
1:26:26 Wow,
1:26:28 that's a big deal,
1:26:32 right? If you want your agents to do
1:26:33 [ __ ] in the world, they got to be able
1:26:35 to interact with the world.
1:26:46 Cute.
1:27:35 Hey, look. There's there's my my Chicago
1:27:38 deep dish ad.
1:27:44 If you're joining us, welcome to the AI
1:27:46 bubble. I I hate to break it to you
1:27:49 people saying the AI bubble's about to
1:27:51 burst.
1:27:52 The bubble hasn't even started inflating
1:27:54 yet.
1:27:56 Hey, Kyle.
1:27:58 >> Yeah.
1:27:59 >> Um, if you go back out of this post and
1:28:01 scroll up just a smidge,
1:28:03 >> you noticed that it flagged your um
1:28:06 image as made with AI.
1:28:08 >> Oh, yeah. Look at that. That's
1:28:10 hilarious.
1:28:18 Got busted
1:28:20 putting AI slop out on the internet.
1:28:39 Tik Tok pin.
1:28:42 I barely have enough of my own currency
1:28:43 to spend. Now I have to budget for an AI
1:28:46 bot. You do. But if you if you do your
1:28:48 AI bot right and you can have it start a
1:28:50 business or two, then maybe I can make
1:28:51 some money. Make some money. Money
1:28:57 Miniax came out with a new model today
1:28:59 that you can go run OpenC Claw on there.
1:29:02 You just go there and it's I think it's
1:29:04 60 bucks a month.
1:29:06 Oh, this is good. Holy [ __ ] The new
1:29:10 Google Stitch is scary. Oh, that's what
1:29:12 I wanted to look at. Is that live yet?
1:29:15 Google Stitch
1:29:19 or No. Labs.google.com, right? Dropped
1:29:22 today. But is it live? I know it dropped
1:29:25 today, but Google does this all the
1:29:26 time. We're We're announcing this new
1:29:29 thing and then sometimes it never shows
1:29:30 up at all. Stitch, try it now. There you
1:29:33 go. All right, we're doing something. I
1:29:36 guess I got to share my tab. You all are
1:29:39 so selfish. All right, try now. Don't I
1:29:42 have to sign in? I'm signed in.
1:29:48 Welcome to Stitch.
1:29:56 Why can I not zoom in on that?
1:29:59 Sons of [ __ ]
1:30:10 app. All right. uh make me an interface
1:30:17 for a
1:30:19 an app called I just want
1:30:24 to talk
1:30:28 where
1:30:31 talkers
1:30:34 engage with listeners.
1:30:44 Um
1:30:48 and the platform
1:30:52 I don't know
1:30:55 let's see charges
1:30:58 per things for you before you press
1:31:01 enter.
1:31:02 >> Okay. block.
1:31:05 Um
1:31:08 uh it should be uber like slash
1:31:15 um
1:31:18 uh
1:31:21 swipe right like
1:31:25 uh hang on a sec. The word you're
1:31:27 looking for
1:31:27 >> which one?
1:31:29 >> Tinder.
1:31:30 >> Oh yeah. Yeah, exactly.
1:31:32 uh swipe right like let's see uh uh with
1:31:38 clear
1:31:40 ratings
1:31:42 and some
1:31:44 listeners can use pics but
1:31:50 others can be anonymous.
1:31:54 Okay. Oh [ __ ] I hit enter. You told me
1:31:57 not to do that.
1:32:00 >> I can start over.
1:32:02 No, that's okay. I just wanted to call
1:32:03 out um at the bottom next to the model
1:32:07 picker, you do have a pallet picker,
1:32:09 which is one of the new features. So,
1:32:11 just of
1:32:13 >> box um you can um once it actually
1:32:18 >> Oh, yeah. Look at that.
1:32:20 >> Primary secondary.
1:32:24 That's pretty slick.
1:32:34 And then they also released a video uh
1:32:36 that was linked, but it's on Twitter if
1:32:38 you wanted to see it while it's
1:32:39 building.
1:32:42 Wait, here we got we've got designs
1:32:43 coming in, kids.
1:32:47 This looks pretty damn good. And I'll
1:32:49 tell you what, you know what, Brandon,
1:32:51 producer Brandon, you don't have to be
1:32:52 up here for this. I can just say it. Um,
1:32:56 the vibe coding that's coming out
1:32:58 tomorrow, I would imagine that this and
1:33:01 that are going to start talking to one
1:33:02 another. So, you can come in here and do
1:33:05 your
1:33:06 your design stuff, right?
1:33:12 Compassionate listeners are here to here
1:33:15 to
1:33:17 hear you.
1:33:26 Oh, you know what would be cool
1:33:30 and I just want to talk.com?
1:33:34 These screens are too long, aren't they?
1:33:36 I guess not because they'll scroll.
1:33:40 Um,
1:33:41 what would be cool is you could you
1:33:43 could sign up to be a listener
1:33:50 and make money, but you could also say,
1:33:52 "I'm willing to listen for free."
1:33:56 And if you're willing to listen for
1:33:58 free, it only costs the talker,
1:34:01 I don't know, half as much,
1:34:06 but the proceeds go to some nonprofit or
1:34:09 something. Tik Tok pin. I'm teaching on
1:34:12 vibe coding in my LOL this weekend. Oh,
1:34:15 I know. That's that's going to be so
1:34:17 cool. Hey, what tool did you use?
1:34:18 Because I started today I started making
1:34:21 this app today and I thought I thought
1:34:24 it might be fun. I think I did it in it
1:34:27 begins with an E.
1:34:29 What's that one called? What's that one?
1:34:31 The vibe coding one that begins with an
1:34:33 E.
1:34:35 Brandon's got to know that.
1:34:43 Yeah. This Saturday. Yeah. Emergent.
1:34:45 That's it.sh.
1:34:54 Is this it? Continue with Google.
1:35:01 Continue.
1:35:15 Recent tasks.
1:35:22 Listener ready. Here we go. Preview
1:35:26 and pause. Wake up the agent.
1:35:29 Agent finished.
1:35:33 Testing. 100% pass rate.
1:35:36 Audio call UI is fully functional.
1:35:40 Actual voice streaming is simulated in
1:35:42 the web preview.
1:35:45 >> Are you in a different tab?
1:35:47 >> Oh, yeah, I am. Why?
1:35:54 Your words weren't matching the
1:35:55 pictures.
1:36:00 Previewing paused.
1:36:07 AI matching. Gemini Gemini 3 Flash ranks
1:36:09 listeners by fit score. Please wait.
1:36:13 Your app is brewing.
1:36:18 I just want to talk. Welcome back.
1:36:20 Continue with Google.
1:36:23 Log in.
1:36:25 Continue with Google.
1:36:31 Continue. Is that going to take me back
1:36:33 to that tab? Do they really have their
1:36:35 [ __ ] together? No, not quite.
1:36:43 Uncut error.
1:36:45 Minimize.
1:36:48 signing you in.
1:37:22 Sign up.
1:37:29 Email's already registered. Oh, because
1:37:31 I registered it with Google
1:37:40 again.
1:37:59 I want to talk. I'm going to listen. Be
1:38:00 there for someone. I want to talk and
1:38:03 listen. Let's go. I want to listen.
1:38:07 Continue.
1:38:09 Work, stress, life transitions, anxiety,
1:38:13 self-discover, mindfulness, creativity.
1:38:15 I'll go creativity.
1:38:18 I'll go late night overthinking. That's
1:38:21 pretty cool. I'll go
1:38:25 anxiety.
1:38:28 I'll go self-discovery. I'll go those
1:38:30 three. All right.
1:38:32 >> Your tab management is giving me
1:38:34 anxiety.
1:38:36 >> Oh,
1:38:38 it should be.
1:38:40 I'm very unprofessional tonight.
1:38:56 All right, let's see. Calm and grounded,
1:38:58 energetic, and warm. I'm going to go
1:39:00 with energetic and warm. Oh, I like
1:39:01 these categories. This is cool.
1:39:05 Talk now. Talk with someone right away.
1:39:09 Let's go.
1:39:14 Hey Kyle, just so you know, we're seeing
1:39:16 a bunch of stuff on your desktop,
1:39:18 including something from the post
1:39:20 office.
1:39:21 >> Oh, yeah.
1:39:24 All right. Hang on.
1:39:27 Thank you.
1:39:34 No upcoming conversations.
1:39:40 Boom.
1:39:43 >> Just because we kind of got confused in
1:39:46 the
1:39:47 tab switching. Is this a byproduct of
1:39:50 stitch or of emergent?
1:39:53 >> No, this is emergent.
1:39:55 This is um I took the the other night I
1:39:59 came up with that idea of I just want to
1:40:01 talk.com
1:40:03 and so I went to chatbt today and had it
1:40:05 write a software spec and and threw it
1:40:07 into emergent. What did Mimi, are you
1:40:10 still there? Side hustle, what what
1:40:12 platform did you use to make your iOS
1:40:14 app? And by the way, how's it going? Is
1:40:17 it out there in the world?
1:40:29 Used wind surf. Did you like it?
1:40:36 Wind surf and Xcode.
1:40:43 You love it, huh?
1:40:46 And how big's the learning curve on it?
1:40:59 Oh no.
1:41:11 It's not so bad. I built a platform in a
1:41:13 week. Huh. She needs a mic.
1:41:20 Um,
1:41:26 I don't like the color palette, but
1:41:28 that's okay. All right. Well, I have a
1:41:32 semifunctional app
1:41:35 beginning.
1:41:37 It might even be functional. We could do
1:41:40 testing with it. So, the the idea of
1:41:43 this is um you just talk to strangers.
1:41:47 It's like a voice. It's like a voice
1:41:49 app. I just want to talk. So, you can be
1:41:51 a talker or a listener.
1:41:53 Um, all right. Let me let me scadaddle
1:41:57 on out of here.
1:41:59 Let me scattle. All right. Fantastic,
1:42:02 Bob. All right, Bob. So, uh,
1:42:08 no, today's Wednesday. Oh, no, you're
1:42:11 right. That's correct. So, tomorrow, if
1:42:14 you're in the AI salon mastermind,
1:42:17 tomorrow is the practice lab. Uh, and,
1:42:20 uh, it's at 11:00 a.m. Mountain time.
1:42:22 So, 10:00 a.m. on the West Coast, 100
1:42:26 p.m. on the East Coast. Chicago, you're
1:42:28 on your own. You're on your own with
1:42:30 whatever you call pizza, and you're on
1:42:32 with your own with figuring out the time
1:42:34 zone. You can't be bothered.
1:42:37 It's exhausting. It's like a whole
1:42:39 different hour. Some sometimes you do
1:42:42 daylight saving time, sometimes you
1:42:44 don't. I don't understand it. I won't be
1:42:46 there, Kyle. Client meeting. Okay,
1:42:48 that's too bad. But enjoy your client
1:42:50 meeting.
1:42:53 It's everything we were told not to do.
1:42:54 Don't go on the internet and don't talk
1:42:56 to strangers. Exactly. That's what this
1:42:58 app is. This this this app, I just want
1:43:01 to talk.com.
1:43:08 Oh my god, it's hilarious. It's
1:43:10 hilarious. I tell you, it's hilarious.
1:43:14 Fantastic. What do you have against
1:43:15 Central time? Cam Ken from Cleveland
1:43:18 coming in hard. But here's what I
1:43:19 learned about Cleveland. Cleveland, as
1:43:22 far west as you think that godforsaken
1:43:25 place is,
1:43:27 it's still in the Eastern time zone.
1:43:30 It's barely east. It's barely east.
1:43:35 And we get meteors. We get meteors now.
1:43:40 I've been staying awake to the end all
1:43:42 week. Must be daylight savings time.
1:43:44 Sorry, Todd. I listen. I do my best to
1:43:47 put everyone asleep. This week in
1:43:49 particular has been a it's been a doozy
1:43:51 in terms of uh nonintillating content as
1:43:55 they say, but whatever. Um I appreciate
1:43:58 you all being here. I'm going to take
1:43:59 off. Uh if you haven't joined the
1:44:01 mastermind yet, go to
1:44:02 community.thesalon.ai.
1:44:06 Join the community. Join the mastermind
1:44:09 and uh come hang out with us and create
1:44:11 your daily practice. Um intentionality
1:44:14 and mindfulness. It's a big thing. It's
1:44:16 important.
1:44:18 It should be called Mid East
1:44:20 representing the great state of Ohio.
1:44:26 All right, man. Cool. You all have a
1:44:28 fantastic night. I appreciate you being
1:44:31 here. Bye.
1:44:34 Okay.