2/9/2026 - The Day I Turned Pro: A Personal Story of Overcoming Distraction

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0:00 Baby, you want to come singing? Come on.
0:17 I know. I know. I know.
0:22 I know.
0:39 There's been something baby I'm trying
0:42 to say
0:45 for an age and it seems I don't know how
0:51 past and a future now surrounding
0:57 Surrender to whatever cheap thrill can
0:59 be found.
1:03 There's been a little trouble
1:06 since you came to my rescue.
1:13 And if you like all of the rest, I would
1:15 have quit you long ago. But I couldn't
1:18 do that.
1:23 Oh, tell me now. Women on Wide never
1:27 went too well.
1:30 Make a man crazy, make him cold as hell.
1:36 I don't want to let you wish me well.
1:40 But instead of trying,
1:43 still going to have to find my way
1:47 through.
2:14 Good evening, good people. Thank you,
2:16 Silver Fox, for those kind gifts. It's
2:18 very swell of you. Appreciate it. Not
2:21 necessary, but
2:23 appreciate it.
2:26 Oh, good lord. Happy Monday. How was the
2:29 weekend? Did you do your homework?
2:33 Spend time with yourself, your family,
2:35 figure out what your Did you find your
2:37 special purpose?
2:41 Did you find your special purpose?
2:52 You have to be a Gen Xer and a Steve
2:54 Martin fan to get that joke.
3:05 No, same old guitar strap. Just maybe
3:08 aimed it at the camera different.
3:18 Silver Fox, I made some stuff. It was a
3:20 good weekend. Good, good, good, good.
3:57 So, I'll share something [ __ ] wild
4:00 with you.
4:05 I didn't know this. Well, I did know it.
4:08 Well, no, I didn't know it. I know it
4:10 now.
4:12 I entered this past weekend an amateur
4:16 and I emerged a professional.
4:35 And I'll tell you what that actually
4:37 means.
4:39 But what I learned
4:43 is that in my lifetime,
4:46 I'm [ __ ] ancient.
4:48 I have never been a professional.
4:59 And I started yesterday. Yesterday was
5:02 Sunday. I started yesterday morning.
5:06 And it feels like everything's different
5:09 and you're like, "What the [ __ ] are you
5:11 talking about?
5:14 I'm gonna tell you. I will tell you.
5:19 It has nothing to do with AI and it has
5:21 everything to do with AI."
5:29 The trigger.
5:33 The trigger was a book.
5:37 Now you're a bunch of neurospicies.
5:40 Some of you got the the ADD card.
5:43 So if your relationship to books is
5:45 anything like my relationship to books,
5:47 reading books [ __ ] sucks.
5:50 Book lovers are like, "What? How could
5:53 you say that?"
5:56 Because you don't understand how this
5:57 brain works
6:00 when you lack prefrontal cortex or
6:02 whatever the [ __ ] is going on up here.
6:06 The minute I look at a page,
6:09 the only thing I'm thinking is, how long
6:12 is this paragraph? How long is this
6:13 book? And am I done yet? The the the the
6:19 possibility of actually taking in the
6:22 words on the page is very low. It's very
6:25 low. And then on top of that, I've got
6:28 this [ __ ] this double eye infection,
6:30 so I can barely read.
6:33 But I've been I've been working on some
6:38 things and I've been getting coached
6:41 from Andy and Andy has been a
6:44 remarkable, really good, amazing. If you
6:46 need a coach, you should consider
6:49 calling her.
6:52 Um, and if you don't know how to find
6:53 her, she she's in the AI salon. She's
6:56 very prevalent there. She she helps make
6:58 that place rock.
7:00 And so I don't know,
7:04 two months ago, maybe when we started
7:06 coaching, maybe before.
7:13 I avoided anything Super Bowl. I'll talk
7:15 a little bit about that. Anyway,
7:20 she not only recommended a book to me,
7:22 but she actually bought it. Like it
7:24 showed up on my doorstep
7:27 and I said, "Hey, I got this book." book
7:29 and she said, "Yeah, I should read
7:30 that." I was like, "Okay,
7:33 then I didn't."
7:36 And then, you know, every every week or
7:38 two, she like, "You read that book yet?"
7:40 "Nope." "No." "You going to read it?"
7:42 "Yep."
7:44 Fully intending to never read it. Right.
7:48 And then, but you know, I've been I've
7:50 been having some breakthroughs. I've
7:51 been having some clarity. I've been
7:53 treating, you know, my AI stuff as a
7:56 practice, my life as a practice using
7:58 AI.
8:00 And so I had a couple more breakthroughs
8:02 this week.
8:06 She finally said, she goes, she goes, I
8:09 think it was on Friday, I don't know
8:10 what it was. She goes, "Kyle, read the
8:13 [ __ ] book.
8:16 You got to read the [ __ ] book." So I
8:19 was like, "Fine." So, I got up Saturday
8:22 morning and I knew that the book was on
8:24 my desk, right? Because I have ADD and
8:27 even though I have a lot of stuff on my
8:28 desk, I know where all my [ __ ] is. And
8:30 so, I look on my desk and the book's not
8:32 [ __ ] there. There's no book. It's not
8:35 there.
8:37 And so, I look and I look and I look and
8:39 I pull boxes out and I pull bags out and
8:42 it's not [ __ ] there. And I look over
8:43 here and I got a pile of books and I
8:45 pull out this pile of books and these
8:48 are all from producer Brandon. None of
8:50 these are the books. These are not the
8:52 books she wanted me to read.
8:54 10,000 minute mindset was not it.
8:59 So took took me about an hour.
9:06 Did you read what I posted?
9:09 Wait in a regular. It's too long for
9:11 here. Okay, I'll take a look at it.
9:12 Steo. Um, so anyway, so I found the
9:15 book. It was in it was it was in my
9:16 computer bag. So like I was carrying it
9:19 with me every day but fully intending
9:21 not to read it.
9:23 And so the the book is called Turning
9:26 Pro by Stephen something Stephen
9:30 Stephen I've got another book of his
9:33 here. Presfield.
9:36 He wrote The War of Art.
9:40 And so I start reading the book
9:46 and what's cool about the book,
9:48 especially for someone with ADD, is
9:50 there's only like two ideas in it. It's
9:52 it's like stupid simple.
9:55 And the entire book is just him making
9:58 the same point over and over and over
10:00 and over again. And you're like, I think
10:02 I might get this at some point. Then he
10:05 [ __ ] hammers it home again. Then he
10:07 hammers it home again. Then he tells a
10:08 story about it. Then he tells another
10:10 story about it. Then he tells you again.
10:12 There's a lesson in that, right? Have
10:15 distill things down to their simplest
10:16 points and then just [ __ ] hammer them
10:19 home over and over and over again.
10:22 Um he talked the book opens up and it
10:25 talks about
10:28 it references the war of art and it
10:29 talks in the war of art about this thing
10:31 called the resistance which is when you
10:33 when you get in touch with your true
10:35 purpose when you get in touch with your
10:38 who you really are. The resistance shows
10:41 up, right? The resistance is that
10:43 observer in your head, that [ __ ]
10:44 that's like they don't really want to
10:46 hear from you. You know the [ __ ]
10:48 [ __ ] the [ __ ] that's there to
10:50 protect you, right? the [ __ ] that is
10:53 how you're as successful as you are that
10:55 at some point in your life you realize
10:57 that [ __ ] doesn't work for me anymore
11:01 but it won't shut the [ __ ] up right so
11:03 that's the resistance and giving into
11:05 the resistance and all that sort of [ __ ]
11:06 so that was from the war of art
11:10 and then he talks about
11:14 in almost all kind of self-help book
11:17 kinds of things there's sort of two
11:18 modes
11:20 there's the there's the I forget how you
11:22 called it like the medical mode like
11:24 you're sick and you need treatment,
11:26 right? Some version of that where
11:28 there's the moralistic mode, right?
11:31 You're you're wrong and you need to make
11:33 it right. And he said, I'm going to
11:36 offer you a third modality and that's
11:39 what this book is about. And the third
11:42 modality is you're either an amateur or
11:44 you're a pro.
11:47 I was like, well, that's pretty [ __ ]
11:49 simple. like, "Yeah, I've been I've been
11:51 a pro. I've got a company. I'm a
11:52 professional. I get paid for what I do."
11:58 And then he just goes about sort of
12:00 distinguishing these two, I guess,
12:03 archetypes, these two ways of being.
12:07 And
12:10 he he he says, "You're either an amateur
12:11 or pro, or or he says you're either an
12:14 addict or an artist."
12:16 And he talks a lot about secondary
12:18 careers. And the secondary careers are
12:20 the careers that you do that make you
12:23 feel like you're pursuing your mission,
12:25 but you're really not. In his case,
12:29 he wanted to be a writer and
12:32 he read Jack Carowax on the road
12:36 and so he became a long haul trucker. He
12:40 did it for like 10 years because, you
12:43 know, he read the book, he fell in love
12:46 with writing, he fell in love with the
12:47 story
12:49 and he wanted to live that story.
12:54 And he said, how do he put it? He goes,
12:56 "But all I was doing was driving away
12:59 from the thing I really wanted to do,
13:02 which was write. I wanted to write the
13:04 stories, not be in it." And he goes,
13:06 "And it was a shitty version of it.
13:07 Being a long haul trucker does not have
13:09 the romance of Jack Carowak's, you know,
13:13 crossc country road trip.
13:18 Um, so he says, you know, you're either
13:20 an amateur or a pro. And there's there
13:22 was a there was a passage in it that
13:26 that said
13:28 amateurs feel fear.
13:30 And I was like, oh [ __ ] Yeah, yeah,
13:35 yeah, we do. Right. I'm like, "Yeah,
13:38 yeah. Amateurs feel fear." And and you
13:41 know, he wrote a little passage about
13:42 it. Then then I turned the page and on
13:44 the next page it said, "Professionals
13:47 feel fear, too. It's just that they
13:50 don't let it stop them. They keep
13:51 going." And I was like, "Fuck."
13:56 And then he talks about this this
13:58 distinction of being an addict. And and
14:01 you know, it can it could be an addict
14:02 to substances or sex or whatever it is.
14:05 It can be all sorts of addictions, but
14:07 it can also be like being addicted to
14:09 doing anything except the thing you're
14:11 called to do.
14:13 And he talks about when you're being an
14:15 addict,
14:17 you distract yourself to the point of
14:20 incapacitation.
14:21 Hey, black bar and cams. Oh, yeah. Sorry
14:23 about that. Brand Brandon told me he was
14:26 going to be late and he said, "Just the
14:29 one thing I want to tell you. Please
14:30 make sure you do your cams and your
14:31 black bar." and then I got on here and
14:34 started waxing poetic about being
14:36 professional and was not professional.
14:38 Um, but let me unpack this for you
14:41 because I think this is a really
14:42 important one. And I think the the one
14:44 of the reasons that I think this is so
14:46 important in the age of AI
14:50 is
14:54 um
14:57 AI is addictive. AI is absolutely
15:00 addictive, right?
15:02 You've seen nights here where I just get
15:04 wrapped up in something and we just blow
15:06 through three three hours.
15:11 When he talks about
15:15 when you're an amateur,
15:22 you think a lot about your calling.
15:27 You think about it all the time.
15:31 He carried around a Smith Corona
15:32 typewriter for a decade in his car. Like
15:35 it was packed in the back of his car
15:36 under [ __ ] He couldn't get to it, but
15:39 it was there. He knew it was there. He
15:40 thought about that typewriter all the
15:41 time. Was there for a decade while he
15:43 was being a trucker.
15:47 And he talks about when you're when
15:48 you're an amateur, when you're an
15:50 addict, what the addiction is is the
15:52 addiction is to distracting yourself to
15:55 the point of incapacitation.
15:59 He said, "Because when you're
16:00 incapacitated,
16:02 you're not responsible for your vision,
16:06 for your purpose, for your why,
16:10 for your passion.
16:13 I couldn't do it. I was incapacitated.
16:17 It's this brilliant addictive
16:20 distraction from who you are."
16:24 And I'm just I'm like reading this thing
16:26 and I'm going, "Oh, fuck."
16:31 Like so much of my life are these series
16:36 of distractions to the point of
16:38 incapacitation.
16:42 Like I have moments I mean you know I
16:44 would call myself a high functioning
16:46 amateur because when I decide to do
16:50 something I'm powerful enough to put it
16:53 into motion right and I can put this
16:55 [ __ ] into motion it actually manifests
16:57 in the world. Like that's [ __ ]
16:59 amazing. It's an amazing feeling when I
17:03 do that. But then I talked about this
17:05 idea if I manifest these things and I
17:07 get I get out of the driver's seat and I
17:09 I get in the backseat of the car and I'm
17:10 like, why aren't they driving the
17:12 direction I want to go? Right? I
17:15 distract myself to the point of
17:16 incapacitation
17:23 and and then
17:26 and then as he goes through the book, he
17:27 defines this idea of being a
17:29 professional
17:31 as
17:35 the professional just shows up.
17:39 The professional just does it.
17:44 The professional
17:46 cuts the lines,
17:49 right? If you've ever been a bartender,
17:50 I bartended for a bunch of years in
17:52 Manhattan.
17:54 First thing you do when you get in is
17:57 you [ __ ] about whoever closed up the
17:59 night before cuz they left it a [ __ ]
18:01 mess.
18:03 And then you cut the lines and you make
18:05 the syrups and you do the [ __ ] and you
18:07 pour the [ __ ] in the [ __ ] and you go in
18:09 the back to the you do the work.
18:16 and you do it every day
18:20 and it's not glamorous.
18:25 But if you're an addict, if you're an
18:27 amateur,
18:31 you let yourself be distracted to the
18:33 point of incapacitation.
18:37 The other thing he said in the book was
18:41 I don't even know if this is making
18:42 sense or tracking.
18:48 The other thing he said in the book
18:53 was about
18:56 how do you put it?
18:59 [ __ ] It went out of my head.
19:02 It's funny. I just got I just got
19:04 self-conscious about what I'm talking
19:06 about and my brain emptied.
19:10 We need a book club. Yeah, this is this
19:12 is total book club. So, what I'm talking
19:14 about is um Turning Pro by Steven
19:18 Presler. Is that right?
19:21 Press field. Press field. Steven
19:25 Presfield. Turning Pro. I would highly
19:26 recommend it. Highly recommend it.
19:36 He said, "A a professional
19:39 a professional puts in the time. They
19:41 put in the time every day
19:50 and they they don't [ __ ] about it.
19:54 There's no drama to it.
20:03 It's a commitment. Oh, this is the thing
20:04 he said in the book. I got it back.
20:08 He said, "You're going to remember the
20:09 day you turn pro as clearly as you
20:12 remember 911. Remember where you were on
20:14 911.
20:16 It's going to be that clear to you." And
20:18 as I'm reading that with my double
20:21 vision and my shitty ADHD brain and I'm
20:25 reading about, you know, every tenth
20:26 word clearly,
20:30 I just like what popped in my head was
20:32 like the angry Gen Xer going, "Oh,
20:34 bullshit."
20:36 I'm not going to remember the day I
20:37 turned pro. Like it was 911. That's
20:39 horshit. [ __ ] Kept reading. He said
20:44 it again two or three times. He just
20:45 keeps making the same points over and
20:48 over and over again. They're just going
20:50 like bang bang. You gonna let him in?
20:52 You gonna let him in? You going to let
20:54 him in?
21:00 And you know, I'm sitting there because,
21:03 you know, I'm clever and smart and I'm
21:06 good with words and I'm sitting there
21:07 trying to intellectualize all this stuff
21:09 and I get it. Yeah, I understood what
21:12 this book was about in page one because
21:14 I'm pretty clever and he just keeps
21:16 hammering the same point home over and
21:17 over again. And at some point it started
21:20 to stick.
21:23 And so I finished it. I finished a book.
21:28 There's a moment in the book he talks
21:30 about he he finally after realizing that
21:34 being a long haul trucker
21:37 was not writing. It was being a long
21:40 haul trucker. He finally decided to quit
21:43 that job and to pull his Smith Corona
21:45 typewriter out of his car. He unburied
21:48 it out of the car and put it in this
21:50 little cinder block house he was renting
21:55 and he wrote for two hours that first
21:58 day and he threw he crumpled it all up
22:00 and threw it away because it was
22:02 horrible because he hadn't written in 10
22:05 years. He was a long haul trucker.
22:08 And he said he woke up the next day and
22:10 he sat down at the typewriter. And he
22:12 woke up the next day and he sat down at
22:14 the typewriter and I think it was two
22:15 years later.
22:18 He was typing on the typewriter and he
22:20 typed the words the end.
22:26 He completed something
22:29 that was tied to his passion, was tied
22:31 to who he was,
22:33 that couldn't be finished in an in an
22:36 instant,
22:38 that couldn't just be a distraction.
22:41 YouTube, somebody wants to actually talk
22:43 about AI. Okay, we'll get we'll get to a
22:45 to YouTube in a second. We'll talk about
22:47 AI. I'm talking about personal
22:49 transformation here, so indulge me or
22:51 not. You don't have to hang out. But I
22:54 will get to AI.
22:56 Um
23:03 he said professionals
23:05 put in the time
23:08 to be able to do the thing over time
23:11 that is tied to who they are.
23:14 Because if it's your passion, it's not
23:16 going to happen overnight. It's it's
23:17 it's going to have to you're going to
23:19 have to discover it. You're going to
23:20 have to discover who you are. Like all
23:21 the stuff we've been talking about with
23:23 having a daily practice, with
23:24 understanding who you are, understanding
23:26 your point of view, understanding your
23:28 values, understanding who you care
23:29 about, understanding what you want to do
23:31 with them. All of that requires you to
23:33 be
23:36 in touch with who you are and
23:40 show up and do the work. Cut the lines.
23:45 Put the paper in the typewriter.
23:48 Do the things. Do the things. Do the
23:50 things.
23:51 So I woke up Sunday morning
23:56 and I said,
23:59 "You have a choice.
24:01 You can be an amateur or you can be a
24:04 professional.
24:05 You can be an addict or you can be an
24:07 artist."
24:09 And I said, "Fuck it. I'm an artist.
24:14 I'm a professional.
24:17 And I'm going to do the work.
24:21 And what that looks like for me right
24:23 now
24:25 is I built this I vibecoded this project
24:28 management app called Project Cardboard.
24:30 Some of you saw it. Some of you
24:31 downloaded it and played with it or like
24:32 it. It's a website
24:37 and I built this whole thing to track
24:38 all my projects. But I never populated
24:42 the project cards with the actual tasks
24:45 I need to do.
24:48 like I just let my tasks
24:51 float into the ether
24:53 and at some point I pulled them out.
24:55 Here's what I realized. I realized this
24:57 yesterday. Yesterday afternoon after
24:59 after being a professional for a day,
25:03 it hit me
25:06 how as an amateur my relationship with
25:10 my non-urgent tasks. So, let me talk
25:12 about urgent and non-urgent tasks.
25:14 Urgent tasks are
25:18 uh the checking accounts under by $20.
25:21 You got to move some money around.
25:22 Urgent tasks are uh the client just
25:25 called and our app doesn't work. You've
25:26 got to troubleshoot it. Right? Our our
25:28 days are filled with urgent tasks. Ur
25:30 urgent tasks are easy because they're
25:31 urgent. They just right.
25:34 How you get to who you are and how you
25:36 get to full self-expression
25:39 is the non-urgent tasks.
25:42 So, I realized on Sunday afternoon or
25:45 Sunday evening, my relationship with
25:46 non-urgent tasks looks like this.
25:51 We'll just take it on a 7-day week
25:53 starting on Sunday. So, Sunday
25:56 starts to look like,
25:59 "All right, Kyle, the weekend's over.
26:02 All the [ __ ] that you promised yourself
26:03 you would do, you haven't done, so
26:06 you're a [ __ ] loser."
26:10 And then I start to think about what are
26:13 the tasks that I've been I've been
26:16 avoiding for so long that they
26:19 absolutely have to be done and they're
26:22 humiliating that I haven't done them.
26:26 And I it's easy to find the list. You
26:28 can find if if you have historically led
26:32 with shame uh finding evidence that you
26:35 should be shameful about pretty easy,
26:37 right? So, I find these things. So, I
26:39 spend most of the day Sunday beating
26:41 myself up for these things that should
26:43 have been done two months ago. The
26:45 longer the the time, the juicier the
26:49 shame, right?
26:51 H I I promised myself I'd get that thing
26:54 done on December 1st. We just hit
26:56 [ __ ] February. Hey, you [ __ ]
26:58 loser.
27:00 Right. So, that's Sunday. Then Monday is
27:03 pep talk day. Okay.
27:06 You're a professional. You can do this.
27:09 It's going to be big. You can you take
27:11 those things you didn't do and we're
27:13 gonna we're gonna
27:15 and then we're GONNA
27:18 So all day Monday I'm like pep talking
27:20 myself. We're going to do the things got
27:23 do we got to tomorrow it's going to be
27:25 tomorrow's gonna be awesome.
27:28 Then Tuesday comes and I have the 10
27:32 things that I have bludgeoned myself
27:34 with and pep talked myself into. And
27:36 I've got these 10 things I'm going to do
27:38 on Tuesday. And I get three of them
27:40 done. Two of them really well and the
27:42 third one kind of shitty and seven I
27:44 didn't get done at all.
27:48 And then Wednesday comes
27:52 and I'm waiting
27:55 and I'm looking around
27:58 and what I'm waiting for is someone to
28:00 tell me how awesome I am that I did
28:03 those things.
28:05 I'm waiting for the participation trophy
28:07 of life. Like you did good, right? You
28:10 did good. This is good. Good boy. Good.
28:12 Good. And then Wednesday would come and
28:15 go and I would not get that recognition.
28:17 And I would start to get deflated
28:20 and then Thursday and Friday would be
28:22 like, "Oh, fuck." And I would go into
28:25 addict land and distract myself to the
28:27 point of incapacitation. I just [ __ ]
28:29 around and I'd go into AI and I would um
28:32 Corey Sandler today called it doom
28:34 generating. She [ __ ] just generate
28:36 pictures for 18 hours. She goes, "It's
28:39 just like doom scrolling, but it's doom
28:42 generating, right? So, I'll doom
28:44 generate for two days and then Saturday
28:47 I I'll I'll think, yeah, I'm gonna get
28:49 some stuff done on Saturday and I'll do
28:50 whatever. I have to go shopping. I have
28:51 to do family [ __ ] I have to whatever
28:53 you do, right? And then Sunday, the
28:55 cycle starts over again.
28:57 So, in a given week, on average, I do
29:00 three non-urgent tasks
29:04 and I spend the rest of the [ __ ] week
29:07 in some form of anxiety over the [ __ ]
29:10 I'm not doing.
29:15 And so I started on on Sunday. I said,
29:17 "Okay, I'm a professional.
29:20 I'm just going to start doing tasks."
29:22 And like my first task is gather your
29:25 tasks. I remember Cindy [ __ ] was talking
29:27 about when she did it back in November,
29:29 she did it with Post-it notes and she
29:31 designed a whole system and then she
29:33 actually kept it up and kept going. She
29:35 said it took her like, I don't know, two
29:37 weeks to just get her tasks written down
29:40 that she hadn't done. and she committed
29:42 to just sort of blasting through that
29:44 whiteboard, which she's done. She's
29:46 designed a whole system around it now,
29:48 which if you're in the AI salon, today
29:51 we had week two of her four-week sprint
29:54 on turning your practice into a system.
29:59 So what happened for me on Sunday
30:05 was I started doing my tasks and I
30:08 started
30:09 improving the the project management
30:12 tool that I vibe coded. One of the other
30:14 things I realized if I can't finish
30:16 something in a sitting, I don't have any
30:19 interest in it anymore.
30:22 And the whole thing about this book of
30:23 like just doing stuff over time, just
30:25 show up and do the work and do the work
30:27 and do the work is the only way you can
30:30 build something of substance
30:33 that is something you care about.
30:38 And so I'm doing these tasks and
30:42 I was doing one task and I thought about
30:44 another task and I had this instinctive
30:46 anxiety happen which was what if I what
30:49 if I don't get that done today?
30:52 It was this panic. What what what if I
30:54 don't get it done today?
31:00 And like what popped in my head is it's
31:02 okay. You'll be working on it tomorrow.
31:05 It wasn't this single momentous day
31:08 where I was going to do all the
31:09 non-urgent stuff. It was just like, I'm
31:12 going to do some non-urgent stuff today.
31:14 I'm going to do some non-urgent stuff
31:16 tomorrow. I'm going to do some
31:17 non-urgent stuff, right?
31:20 One of the non-urgent things is clean my
31:22 [ __ ] office and my living space,
31:24 which is an absolute [ __ ] train
31:25 wreck. Like humiliating.
31:28 Not quite hoarder, but it's pretty
31:30 [ __ ] close.
31:33 And I think one of the reasons
31:36 I've historically gotten paralyzed about
31:38 it is I think if I can't clean this all
31:40 in a sitting,
31:44 I'm a failure. Like if I can't do it in
31:47 the adrenaline rush, I'm I'm a failure,
31:49 right? So you don't do it. So you know
31:51 what I did on Sunday?
31:53 I did a little bit of it.
31:56 I chopped up some styrofoam packing
31:59 material from a computer I bought and I
32:01 threw it. I put it in a garbage bag and
32:02 I took it out to the garbage
32:06 and I had that anxiety. What if you
32:08 don't get it done? What if you don't get
32:09 it done? Like, it's okay. I'll just work
32:11 on it tomorrow. I'll just work on it
32:13 tomorrow.
32:18 So, at the end of Sunday, at the end of
32:20 that first day, I realized that that
32:23 [ __ ] was right when he said, "You're
32:26 going to remember the day you turned pro
32:28 as clearly as 911.
32:38 Because it's like it hit me how much
32:40 [ __ ] anxiety I have in my life
32:44 because I don't just show up and do the
32:47 [ __ ] work, the non-urgent, nonsexy,
32:52 follow up on that email, read that
32:54 thing, do the thing you said you were
32:56 going to do. Respond to that guy that's
32:58 really excited to meet you.
33:01 It's all just little [ __ ]
33:05 and there's nothing dramatic about it
33:08 unless you turn it into drama. And I
33:10 became a [ __ ] master. I was an addict
33:14 of creating distraction to the point of
33:16 incapacitation.
33:21 So anyway, so today was my second day as
33:23 a professional
33:27 and I even found looking at the clock,
33:30 the hours left in the day
33:34 as less stressful. I didn't have anxiety
33:36 around them. Like if I in my in my
33:41 amateur days, you know, last Saturday
33:43 and earlier for 60 years, in my amateur
33:47 days, I would look at the two-hour block
33:50 at the end of the day and I'd be a
33:51 little tired and I'd be like, uh, I
33:53 don't I don't want to do anything, but
33:56 like there's two hours left, so I should
33:57 probably like do something that's kind
34:00 of like work. And like there was all
34:01 this anxiety of what do I do with the
34:03 time? What do I do with the time?
34:04 because it's not I'm too tired to really
34:06 do something big and powerful and but
34:08 there's only two hours but it's two
34:10 hours so you can't do nothing. So there
34:12 was all this anxiety around these two
34:14 [ __ ] hours
34:16 and I looked at the clock today and it
34:17 was 3:00
34:20 and there wasn't anything else to do.
34:22 There was I wanted to go to Cindy's
34:23 thing. There wasn't anything else to do.
34:26 And I thought, okay, I'll watch Cindy's
34:28 thing and then that last hour, I'll do
34:31 some more things.
34:34 And if I don't get them done, it's okay.
34:38 I'll do that tomorrow.
34:40 And I'll do that tomorrow. And I'll do
34:42 that tomorrow.
34:45 So anyway, so I'm two days into it. I'm
34:47 a professional.
34:50 So anyway, there you go. Who wants to
34:52 talk about AI? Did was that was that
34:55 worthwhile to anyone? That [ __ ]
34:57 ramble.
34:59 We're supposed to have Meltdown Mondays.
35:01 I didn't quite melt down there, but you
35:03 know when your life is being
35:07 transformed in real time,
35:12 especially when I've got
35:15 a venue like this where the the the
35:17 majority of people that hang out here
35:20 really love each other and really love
35:22 me and I really love you guys.
35:30 was pretty lucky.
35:32 I feel pretty lucky to be able to
35:35 process
35:38 what's happening
35:47 to an audience that I know a lot of you
35:49 are working on the same [ __ ] Like I
35:51 know you are. I see you. I'm in the I'm
35:53 in the meetings with you in the
35:55 meetings.
36:00 In the AI salon, we've got these
36:02 mastermind meetings and people are in
36:04 there doing doing
36:11 a daily practice sounds sexy
36:14 and it's not. It's not sexy.
36:17 It's powerful. It's transformative,
36:20 but it's not sexy
36:23 and it's not easy.
36:25 And so knowing that there's people here
36:27 that are on some version of the journey
36:34 like these kind of changes can be really
36:36 lonely
36:39 because
36:42 Andy described it as the narrow path. As
36:44 you get more and more clear on who you
36:45 are, the path narrows. And what that
36:47 means is there's people that were around
36:49 you that are not going to be on that
36:51 same path anymore.
36:54 And so I don't know, knowing that I've
36:57 got a community here that,
37:02 you know,
37:05 can at least see it and see me. It's
37:09 really cool.
37:11 Yes, it was. Judging by the comments,
37:17 not me. I'm just a hobbyist. I only mess
37:18 with graphics and stuff.
37:22 video games like things for fun. Don't
37:24 make us start crying.
37:27 Don't Don't make us start crying.
37:29 Listen, I
37:31 What's What's cool about this shift from
37:33 amateur to professional? Like when when
37:35 Liz Miller Gersfeld came on here and
37:37 asked me, "What do you want more of,
37:38 Kyle?" And I [ __ ] cried for two hours
37:40 and just sat in silence for, you know,
37:42 15 minutes at a shot. I mean, that was
37:45 definitely a possibility tonight. But
37:46 there's something about this.
37:50 There's something about reading the book
37:51 when I did I mean at literally at the
37:54 bludgeoning of Andy read the [ __ ] up.
38:03 Um
38:05 there's something so simple about it.
38:08 There's something so simple about it.
38:15 But it's like I kind of feel like I've
38:17 got these dominoes falling and they're
38:18 just sort of dominoes of self-awareness
38:21 and subconscious
38:23 habits revealing themselves. And so
38:28 one of the things that I got to
38:31 experience in my life is I had a
38:33 business that became incredibly
38:35 successful. Like we even went public and
38:39 ended up selling it to Omnicom and it
38:41 was like an incredible success and we
38:43 grew really quickly and I got I learned
38:45 all this stuff like I probably have five
38:47 MBAs in my head of what to do and what
38:49 not to do and how to scale businesses
38:51 like it's all there
38:54 and when I sold that in 2002
39:01 I don't think I've made a significant
39:03 personal
39:05 jump
39:08 until
39:11 the end of 2025.
39:15 It's been like 23 years. 23 years of me
39:19 being in essentially the same state I
39:22 was in, which is a really unhealthy
39:24 state when I sold agency.com.
39:28 I went through like 10 years of
39:30 low-level depression and then I just
39:32 have been in this sort of just try
39:35 again, try again, try again. If if if
39:38 nothing else, I'm persistent,
39:40 right? Which I think it's one of the
39:42 keys to entrepreneurship is you just got
39:43 to show up.
39:47 But I didn't fundamentally shift
39:49 anything. And so I think I've got this
39:51 internal pressure like I'm so [ __ ]
39:54 ready to change and transform and just
39:58 open myself up and let my power emerge,
40:02 my holistic balance of solar and lunar
40:07 energy
40:10 as this [ __ ] force of nature. Like
40:12 I'm I'm hungry for it to get out. So, as
40:15 I've been working on these things and
40:17 sort of knocking these dominoes down,
40:19 it's just like, "Oh, [ __ ] thank God.
40:22 There's an exit for that one. Oh, [ __ ]
40:24 Here's an exit for that one. Here's an
40:25 exit for that one." And like the turning
40:28 pro was like, "Oh, this is how I do my
40:32 daytoday shit."
40:34 So, it's good. It's really good. Now,
40:36 I'm going to start crying.
40:41 Okay. What's going What are we gonna
40:44 talk about? I have a couple of AI things
40:46 to talk about.
40:49 Andy did not do that. I know I did that.
40:53 But but you know, but the but the
40:55 coaching has helped me articulate
40:59 articulate these things that have just
41:02 been unspoken.
41:04 Behavior drivers.
41:08 There was a question about
41:13 The best free coding tool.
41:16 Um.
41:19 Oh, bludgeoning me. That's true. You
41:21 didn't bludgeon me.
41:24 You You're confident and persistent.
41:26 Have you read the book? Have you read
41:28 the book? I really need you to read the
41:29 book.
41:31 So, I read the book
41:34 and now I'm a professional.
41:37 I'm an artist, not an addict.
41:43 A Kyle, you're one of the bravest men I
41:47 know by the way. Thank you so much.
41:51 What did you use to vibe code project
41:53 cardboard with? Uh it was um lovable
41:58 lovable.dev. I think lovable.dev. If if
42:00 you're not a coder, if you just want to
42:02 experience the magic of coding, you can
42:04 go do it in Claude. Claude's got a
42:07 Claude. If you flip Claude into Opus 4.6
42:11 and just go tell it to build you
42:13 something, like tell it to build you a
42:14 video game of a specific kind and just
42:17 watch it do what it does. It's pretty
42:18 remarkable. But if you want something
42:20 where you can actually launch something
42:22 that's got a database and authentication
42:24 and [ __ ] like that, Lovable's really
42:26 good. Lovable.dev.
42:28 So, if you go to project dashcardboard
42:35 um
42:41 project-cardboard.lovable.app.
42:47 You can go play with my um my project
42:50 manager tool. That one's pretty good.
42:53 There were two things I wanted to talk
42:54 about other than turning pro. Um,
43:00 and being a professional,
43:03 what's cool, what's so cool about the
43:06 work that I'm going through right now is
43:09 I'm discovering the source sources
43:14 of so much of my anxiety
43:20 and like by being able to name them and
43:23 see them and visualize them. And in
43:26 fact,
43:27 Where's my
43:34 I showed you guys this before that the
43:36 front of my my little journal
43:40 I've got this visualization of me as a
43:42 peasant envying Yale row boys
43:47 like my whole life spent
43:50 thinking that I was less than those
43:51 other people and then come to realize
43:53 I'm that dude on top. I'm the [ __ ]
43:55 creative. I'm the [ __ ] artist.
43:58 I'm flying above all that [ __ ]
44:01 We live in a world now where you can
44:03 visualize [ __ ] like that. I said I
44:05 wanted a renaissance painting of this
44:07 image
44:11 that I I had this breakthrough of this
44:13 [ __ ] that was causing me so much anxiety
44:15 in my life
44:18 and the ability to visualize it so
44:21 cleanly and clearly and just like put it
44:23 in the world and go, "Yeah, that was my
44:25 [ __ ] life. Look at me. I'm this
44:28 artist, dude."
44:30 So cool.
44:34 Thank you for sharing your personal
44:36 experience. Well, thank you for
44:37 listening. Thank you for being there to
44:40 listen.
44:41 I've been working on a claw app
44:45 all weekend. I went to ship it and I had
44:47 forgotten security features. Lovable
44:50 stopped me. Good. Perfect. Awesome.
44:52 That's great. Congrats.
44:56 Lovable gives you five free prompts a
44:58 day. That's cool.
45:01 Um, okay. So, there were there were two
45:03 things that I wanted to talk about.
45:06 One of them was there were a couple of
45:08 big Super Bowl ads. Um, Claude Super
45:11 Bowl ads taking down chat GPT were
45:14 awesome.
45:16 Your your AI is going to get advertising
45:18 and their their ads were really good.
45:20 Um, I think there was another AI thing.
45:23 And then there was I don't know if you
45:25 saw it, but there was AI.com.
45:30 So, at some point toward the toward the
45:32 end of the third quarter, I think of the
45:35 world's most boring Super Bowl. It's
45:38 just an awful It was an awful Super
45:40 Bowl.
45:42 Oh, yeah. Oh, yeah. On AI Salon, if you
45:45 go to community.thesalon.ai,
45:47 Brandon did a write up on all the
45:49 commercials. um rather than writing up
45:52 the game, he wrote up the commercials,
45:53 which quite frankly were way better than
45:55 the game. So, go read his write up on
45:57 it. But anyway, one of the ads was this
46:00 ad for AI.com.
46:04 And it basically said, "Grab your handle
46:06 now." And I like so having having
46:10 crashed servers before, having run a
46:12 digital agency in the mid 90s and
46:14 predicting that we would crash servers,
46:17 like our very the very first site that
46:19 we built was for Sports Illustrated. We
46:22 we did the the website for the Sports
46:24 Illustrated swimsuit issue in 1994.
46:30 And there's like all these hot chicks on
46:32 this website, these these bikini blad
46:35 clad, you know, sports sportsware babes,
46:39 fashion models.
46:41 And we said to the to the guys at
46:43 Pathfinder, "This is going to crash your
46:45 servers." They're like, "No, we're we're
46:46 we're Time Inc. We're you can't crash
46:49 our servers within five minutes. You
46:52 crashed our servers." Like told you. So
46:55 anyway, so I'm looking at this AI thing.
46:57 Says, "Grab your handle now." I'm like,
46:58 "Oh, that that site's going to be dead."
47:00 So, I go to log into it. It's like,
47:02 "Error 503. Error 503. Cloudflare errors
47:06 coming up. Cloudfare is fine. Cloudflare
47:09 is fine. We're fine. The site itself is
47:12 fucked." So, so it was probably 20
47:15 minutes where you couldn't get into it,
47:16 but I finally got into it and I and I
47:18 claimed my handles. So, I claimed my
47:21 name. I claimed AI Salon. I claimed uh
47:23 Great Repurpose.
47:25 Um, and I didn't know what it was. And I
47:28 don't really [ __ ] care. Like, like I
47:30 assume when you start seeing Super Bowl
47:32 ads that are AI.com,
47:36 grab your handle now, and the site
47:38 crashes,
47:40 you know that we're entering the hype
47:42 cycle. Everyone thinks AI has been
47:44 hyped. No, like the hype cycle is just
47:46 beginning. It's just beginning. I would
47:49 I would mark that AI.com ad as chef's
47:52 kiss of the beginning of the hype cycle.
47:54 So, I've learned a little bit about
47:56 AI.com since um someone on X said it's
48:00 they they think it's just an OpenClaw
48:03 rapper, which it very well may be. So,
48:05 OpenClaw is this agentic thing. And what
48:07 this what the site says is you're going
48:10 to grab the name for yourself and then
48:12 you're going to grab the name for your
48:14 agent and your agent is going to go do
48:16 all the things. So, it's an agent
48:17 building platform, but it's so
48:20 overloaded that you don't I'll go look
48:23 at it tonight. We'll see if it's there.
48:24 But here's what I learned. So Sam Alman
48:27 bought AI.com in I don't know, seven
48:30 years ago or something like that for $7
48:33 million. Um, and pointed it to ChatGpt
48:38 then or no, pointed it to something
48:40 else, I guess, to OpenAI to get more
48:41 people to go to OpenAI. Then he sold it
48:44 and Elon Musk bought it. I think he
48:46 bought it for $30 million.
48:49 Um, and it was pointing to some XAI
48:52 [ __ ] And then he sold it and whoever
48:55 bought it last bought it for $70
48:56 million. So they paid minimum of $5
49:00 million for a Super Bowl spot and $70
49:03 million
49:05 for for a [ __ ] domain name
49:18 and it apparently spun it up in a week
49:20 or two. like if it is indeed an open
49:23 claw rapper, which it may not be, um it
49:26 it it very well could be a robust
49:28 agentic platform that we're all going to
49:30 be really excited to use. But anyway,
49:33 that's what I know about it. I know that
49:34 it's, you know, they're they're 75
49:37 million in and they haven't even started
49:39 yet.
49:43 Jesus, that's so funny. Oh my god. Um so
49:49 that's that one. And then
49:51 The other thing, so there's there's a
49:54 couple of things,
49:59 one of the things I said at the
50:00 beginning of the year is I said I think
50:02 this is the year launched in February
50:05 2026 by Crypto.com. Oh, it was launched
50:08 by a crypto bro. Oh. Oh, that's right.
50:11 He b he paid $70 million for AI.com and
50:15 he paid with crypto. So that makes
50:16 sense. focused on focused on developing
50:19 personal autonomous AI agents for
50:21 mainstream users. So, I've said a couple
50:23 of things. When when uh uh what was it
50:26 called? Clawbot first came out. I said,
50:28 "Don't install it. If you're not a geek,
50:29 don't do it. Someone's going to do the
50:31 consumer version of this." So, it sounds
50:33 like Crypto.com bro. The the the OG
50:37 Crypto Bro is going to is going to try
50:38 to turn AI agents into a commercial
50:42 product. He may or he he may do it. I I
50:44 doubt it. like this. This feels like a
50:47 flame out, but if it does go big, I've
50:49 got my handle.
50:53 Better than Coinbase or better than
50:54 Pets.com, right? It's like like we're in
50:57 the pets.com era. We're we're entering
50:58 the pets.com era of AI. Um, but I did
51:04 say this is going to be the year that we
51:06 all get to experience
51:10 AI technology that's getting so good
51:14 that it's going to make us go, "Oh,
51:16 fuck."
51:19 That it's going to start changing jobs.
51:23 Um, Brandon, bless his little heart. Do
51:25 you all know producer Brandon? He isn't
51:28 on screen much. Got a cute little
51:29 goatee. Swell fella little kids writes
51:33 books. No. Anyway, he
51:39 did this post today.
51:42 Let me go look him up. Brandon Tid,
51:45 which [ __ ] busted me up. This is This
51:49 is so good. I assume you didn't come up
51:50 with this meme. If you did, it's really
51:52 good. But let's see here. Here it is.
51:55 Share my screen.
51:57 So So So Brandon Brandon puts this up.
52:00 If you saw if you saw the Super Bowl
52:02 yesterday, you know, Bad Bunny was
52:04 walking through this. You you came up
52:06 with this. Oh, this is so good. Okay. I
52:09 Because it was it was too good and too
52:11 close to what we're talking about with
52:12 the Great Repurpose. Like, it was too
52:14 good. So, if you didn't see the Super
52:16 Bowl yesterday, they had this maze of
52:18 sugar cane that that Bad Bunny was
52:20 navigating through when he opened
52:22 started singing the thing. They they had
52:24 a limit to what they could put on the
52:26 field. And so the the production team
52:29 came up with this idea that that they
52:32 would dress human beings as clumps of
52:34 sugar cane and have them form the maze.
52:37 Right? So this meme, everyone at work
52:39 insisting AI hasn't changed their job,
52:42 right? And there's like two normal
52:43 people and the rest are all these clumps
52:45 of grass. Like like
52:49 this is happening, right? This is
52:51 happening right now.
52:54 And it's not even necessarily they're
52:56 going to take our jobs. It's it's that
53:00 we're all going to get some sort of
53:02 weird promotion
53:05 where instead of doing the thing we used
53:07 to do for our job, our job over the next
53:11 two years is going to we're going to
53:12 we're going to be promoted.
53:15 We're going to be promoted into managers
53:17 of AI bots.
53:20 And it's the the task is going to be not
53:23 to do the thing. The task is going to be
53:26 to look at the things that do the thing
53:28 and make sure they do the thing. Okay.
53:34 Which if you're not deeply centered in
53:36 who you are and let's say you loved
53:39 doing the thing.
53:42 Let's say you loved being a designer.
53:45 You loved doing business analysis. You
53:48 loved being a spreadsheet jockey
53:52 and now it's your job to watch these
53:54 things make spreadsheets.
53:57 That's going to be kind of like this
53:59 meme
54:01 where there's just going to be these
54:03 incapacitated zombies running around
54:06 going, "What am I doing? Why am I here?"
54:10 But they're still going to have a job.
54:11 All their friends are going to have been
54:12 laid off. They're like, "But at least
54:13 I'm employed,
54:16 right?
54:18 So, so open claw this this agentic thing
54:23 feels like the first like if you hear
54:26 Jason Calacanis and you know all the
54:29 people on Twitter and Brent Peterson on
54:33 AI office on AI salon office hours last
54:36 Friday and HT Snow Day going no this is
54:39 a really big [ __ ] deal. the agents
54:41 that you that you deal with on like
54:43 Manis and Genspark, those are cool.
54:48 But this openclaw thing, these agent
54:51 agents have their own intentionality.
54:54 They're proactive.
54:57 They do [ __ ] overnight. They solve their
54:59 own problems. Right? We talked about um
55:03 what's his name? Uh Alex Finn. Flynn.
55:08 Finn. I don't know. some dude on X. He
55:12 went to bed one night and he woke up to
55:13 a phone call
55:16 and his Claudebot
55:19 had signed up for a Twilio account to
55:21 get a phone number,
55:23 hooked himself up to the 11 Labs voice
55:26 synthesis API
55:29 so that he could call his human friend,
55:32 his human boss, so he could call him
55:35 throughout the day and and give him
55:36 updates and and ask for direction.
55:40 So, so he received a call. So, that's
55:42 that. So, the the other thing that I
55:44 wanted to play with tonight is I just
55:46 wanted to go through and look at there's
55:48 a new thing coming from Seed Dance, Seed
55:51 Dance 2.0 that it looks like it can do
55:54 video that's a minute long. Well, on
55:56 YouTube, I have to think it's making
55:59 me a weak-minded. Tik Tok pen. Wait. Uh,
56:02 Weaver's changed
56:04 when commercial looms born, not less
56:07 fabric.
56:09 Oh, weavers changed when commercial
56:10 looms were born. Not less fabric, more
56:14 more for the masses, not less. Yeah, but
56:16 the job changed, right?
56:21 Zombies love turtles.
56:24 I like turtles.
56:27 Future programmers aren't going to know
56:29 anything. They're not going to have to.
56:30 They can choose to. They're not going to
56:32 have to. Everything's going to change.
56:34 Everything's going to change.
56:38 And if you're not actively
56:41 figuring out who you are,
56:44 what you value, what you want,
56:52 what are you going to do when they when
56:54 they take away the tasks?
56:58 Where are you going to derive your sense
56:59 of purpose and
57:02 value in the world? Then you I mean
57:04 listen you can absolutely say family and
57:07 community and all that stuff. Great.
57:09 What percentage of that is the job?
57:14 Um
57:16 so this new video model called seed
57:18 dance came out and it is similarly
57:20 causing people that I respect to lose
57:23 their [ __ ]
57:25 You know um OpenAI rolls out chat ads to
57:29 free users. Yeah. Well there you go.
57:32 just like the Super Bowl predicted. Um,
57:38 so I figured I figured what might be
57:40 good is go let's go look at the output.
57:42 So Seed Dance isn't out yet. It's
57:45 available in China. Um, it's not
57:47 available here. It looks like in China
57:51 it's fully unrestricted and China
57:53 doesn't give a [ __ ] about copyright. So
57:54 it's got all the stuff in it. You can do
57:56 anything in it and it's really good,
58:00 right? and it does long form multi-edit
58:03 kind of creation. And
58:07 so I thought it would be worth going to
58:08 look at. I've made enough videos like
58:10 like
58:12 right now prior to seed dance, every
58:15 video editor out there, every motion
58:17 graphics person can look at the [ __ ]
58:20 that AI produces, even the most recent
58:22 models, and go, "Yeah, well, you know,
58:24 that's not that's not real video." This
58:28 one, this one feels like the first one
58:32 that is starting to freak those people
58:33 out, right? So, I thought it might be
58:35 fun to just Let's go look at some [ __ ]
58:43 Did my Am I frozen on
58:48 Oh, yeah. Higsfield Higsfield got their
58:51 ex account banned today.
58:54 They've been doing some really sleazy
58:56 marketing [ __ ] Um, and they they did
58:58 some stuff that was really like on the
59:00 on the borderline of just like gross and
59:03 unethical.
59:08 I'm not frozen anywhere. Okay. Um, so
59:11 anyway, yeah, it it looked like there
59:13 was some brew haha going with Higsfield.
59:16 They they got banned today, so whatever.
59:20 Um, the again the way Higsfield
59:24 marketed. So Higsfield is just another
59:26 it's another one of those video tools.
59:28 They marketed like they were run by a
59:30 bunch of NFT bros. So we're we're
59:33 starting to enter. So I've said this for
59:34 a long time. We're early. We're early.
59:36 We're early. The hype hasn't even
59:38 started yet. I think the hype is
59:40 starting right now. So you're going to
59:42 see more and more sleazy plays of agents
59:46 and sex bots and stupid [ __ ] URLs
59:50 that you can't figure out what the [ __ ]
59:52 the thing does. Like that's just we're
59:54 just we're entering that era. So know
59:56 that as confusing it as it is now just
59:59 to keep up with the real [ __ ] we're
1:00:01 about to be inundated with a bunch of
1:00:03 like you know shouldn't have been
1:00:05 invested in in the first place [ __ ]
1:00:08 right? So that's coming. That's good to
1:00:10 know. Um, and we're going to start
1:00:14 seeing tools that are so good that it
1:00:16 makes it quite evident to all of us that
1:00:20 it's it's coming for all the jobs.
1:00:24 Um, and it's up to us to regain
1:00:28 our own agency.
1:00:31 So, let's go to seed dance.
1:00:37 Seed dance 2.
1:00:40 All right. All right. If you can share
1:00:40 my screen there,
1:01:09 come
1:01:16 That's pretty indistinguishable from
1:01:18 [ __ ] I remember as a kid. All right,
1:01:21 here's another one.
1:01:31 Sad boy.
1:01:36 All right.
1:01:38 Um,
1:01:42 let me just do seed dance and not 2.0.
1:01:49 Couple of things I don't know. I don't
1:01:51 know how long the generations are. I
1:01:53 don't know of the things that are
1:01:56 blowing people's mind how um
1:02:00 how much editing was done, how much
1:02:02 post, all that sort of stuff. So,
1:02:06 it is very possible that these are all
1:02:09 cherrypicked examples, but there seem to
1:02:12 be enough of them and enough people that
1:02:15 I
1:02:18 that that
1:02:20 don't always buy into the hype
1:02:24 are talking about this as a big deal.
1:02:26 So, I feel like Open Claw was the first
1:02:28 thing to drop this year. Maybe this is
1:02:30 the second one.
1:02:32 Mm-
1:02:34 >> These trees will turn yellow in a month,
1:02:36 won't they?
1:02:37 >> But they'll be green again next summer.
1:02:39 >> Are you always this optimistic or just
1:02:41 about summer?
1:02:42 >> Only about summers with you. Actually,
1:02:44 that's really good. So, the the acting's
1:02:47 still a little flat like it always is.
1:02:49 But look at their eye eye contact.
1:02:51 >> Summer,
1:02:52 >> are you always this optimistic?
1:02:53 >> Okay, so right here, she's not looking
1:02:56 at him. So, there's there's a moment
1:02:59 where it's weird. She's not looking at
1:03:00 him, but right there. Now she is looking
1:03:03 at him. Now it cuts to There she's
1:03:06 looking at him. And now it cuts to him.
1:03:09 And bang, his eyesight, his ey line is
1:03:13 perfect.
1:03:15 One of the tells of AI
1:03:18 video is they always look like they're
1:03:19 looking off to the side of someone's
1:03:22 head. They just don't they don't ever
1:03:23 look like they're making eye contact. So
1:03:25 that's pretty good. All right.
1:03:37 Um,
1:03:41 physics here look good. Like if I stop
1:03:43 this, none of the oranges look like
1:03:46 people. None of the people look like
1:03:48 oranges.
1:03:51 The cop behind him looks normal. He
1:03:53 looks normal. The boxes look normal.
1:04:00 His face looks good.
1:04:04 Cop cop's still wearing the same fur
1:04:07 collar that he was before.
1:04:15 Like that scene,
1:04:18 this scene.
1:04:20 Like look at all the cop's legs.
1:04:24 All the legs look like actual legs. Like
1:04:26 there's no feet missing. If I don't know
1:04:29 if Joy Party's on here,
1:04:32 if you had just waited for Seed Dance,
1:04:34 you wouldn't had to spend five months
1:04:36 putting Ballerina's hands back on their
1:04:38 arms.
1:04:42 Now, that's a 10-second clip. So, what
1:04:44 that what that probably tells me is that
1:04:47 Seed Dance is making 10-second clips,
1:04:49 but maybe it maybe you can make a minute
1:04:52 long clip and it's Here's a 15-second
1:04:54 clip.
1:05:12 kind of some weird physics.
1:05:17 Let's see.
1:05:38 Oh, there's Yeah, there's a weird
1:05:39 physics thing. Watch. She jumps straight
1:05:42 up.
1:05:45 Okay, she jumps straight up and then she
1:05:50 pushes off with her back foot in the air
1:05:53 and it propels her body forward.
1:05:57 Okay, so that's weird,
1:06:00 but you know, all the swords look like
1:06:02 sword swords. All the feet look like
1:06:04 feet. That still looks like her face.
1:06:10 Who knows what killed them,
1:06:14 but maybe she killed them with her magic
1:06:16 mind.
1:06:19 Let's see. Oh, wait. Let's look. Ah,
1:06:22 okay. Here's a continuity error. It's
1:06:24 one of my favorite things to look for.
1:06:26 Right there, there's a teapot knocked
1:06:28 over
1:06:29 and then you come to the end and as this
1:06:32 thing pans back, the teapot is still on
1:06:34 the now it's upright.
1:06:38 that kind of stuff. I love looking for
1:06:40 in movies.
1:06:42 But, you know, it's pretty [ __ ] good.
1:06:43 This is This is being really nitpicky.
1:06:46 Here's a two and a half minute
1:07:04 confirmed. Seed dance 2.0 is now. Wait.
1:07:08 Has now banned the use of real people's
1:07:10 portrait portraits in video creation.
1:07:14 All right. Whatever.
1:07:20 All right. We're starting to see the
1:07:22 same clips.
1:07:23 Here's a new one.
1:07:47 You can at least make a soap opera.
1:07:58 All right, here's another one. 45
1:07:59 seconds.
1:08:12 Yeah.
1:08:21 demonstr
1:08:49 what's his
1:08:50 Um,
1:08:58 a talk I gave I I talked about that guy
1:09:01 that said from this day painting is dead
1:09:03 when he saw the first Dger type. So
1:09:05 that's pretty funny that someone made a
1:09:06 video about that moment. They keep
1:09:09 showing that action scene because it's
1:09:10 pretty good.
1:09:12 All right, that's all I got. So that
1:09:14 must be that must be the bulk of the
1:09:16 clips. There might be more of them. But
1:09:18 anyway, um
1:09:23 that's all that's all of my prepared
1:09:24 remarks. What time is it?
1:09:30 Um okay. So So a couple of things. This
1:09:35 doesn't look to me. It it looks like
1:09:37 this is probably a step change up, but I
1:09:40 would assume also that the other video
1:09:43 models probably have similar things
1:09:44 cooking in their in their in their back
1:09:46 end. Did I see this FedEka ad? No, I
1:09:49 didn't. When everyone can program with
1:09:52 just a prompt,
1:09:54 who's going to debug
1:09:56 what's in the AI cart? Is that what that
1:09:59 says?
1:10:01 Oh, when the AI can't.
1:10:04 Well, so here's the thing.
1:10:09 Here's the thing that's [ __ ] up. Will
1:10:11 2023 on censorship tube.
1:10:16 Um,
1:10:20 part part of my point in in talking
1:10:23 about Open Claw and showing the seed
1:10:24 dance stuff
1:10:28 is that what became clear to me at the
1:10:30 end of 2025 is that things were starting
1:10:32 to accelerate. that as as fast as the
1:10:36 change was coming from the end of 2022,
1:10:38 23, 24, we get into 2025, starting kind
1:10:43 of midsummer toward toward the end of
1:10:45 the summer of 2025,
1:10:48 more and more stuff started dropping
1:10:50 that was significant advancements. So
1:10:52 there was an acceleration that started
1:10:54 happening.
1:10:57 The chief product officer of Anthropic
1:11:00 basically said in a talk yesterday that
1:11:04 effectively 100% of the new products
1:11:07 being developed at Anthropic
1:11:10 are being written by AI. Effectively
1:11:13 100%.
1:11:15 Now
1:11:18 Anthropic and all the frontier
1:11:19 companies, they have plenty of engineers
1:11:20 that if something goes wrong, they can
1:11:22 fix it. But he didn't say 80%. He didn't
1:11:25 say 90%. He said effectively 100%. Now
1:11:28 effectively might be mean they have to
1:11:30 do some interventions at some point but
1:11:32 that's that's a 100. And if you take
1:11:34 something like open claw where you've
1:11:37 got these proactive agents that can also
1:11:39 spin up sub aents
1:11:42 the ones that are going to user test do
1:11:46 you know user acceptance testing and
1:11:49 compare it to the the PRDS the product
1:11:52 requirement documents. Those are all
1:11:54 going to be agents.
1:11:56 So, who's going to be fixing the code
1:11:57 when the coding bots [ __ ] up? [ __ ] up
1:12:00 are the 270 agents that are going to go
1:12:03 go do the all these specialized tasks to
1:12:06 debug and fix all the problems in the
1:12:09 code.
1:12:11 That's why like we're we're we're in a
1:12:13 weird phase right now, probably for the
1:12:16 next year, where we're going to be able
1:12:18 to sit on our soap boxes and and our
1:12:22 expert chairs and go, you really need me
1:12:26 to to fix the [ __ ] because when it gets
1:12:29 this [ __ ] wrong,
1:12:31 we're not going to be there for that
1:12:32 much longer.
1:12:36 Now, it doesn't mean we don't have a
1:12:38 role, but our role shifts dramatically.
1:12:41 Let's see. AI generated. Okay, I'll
1:12:43 check that out. Cool. Um
1:12:49 the valuable role moving forward I think
1:12:53 it's the only thing I can see
1:12:57 is if you've got
1:13:02 agents that are effectively doing all of
1:13:04 the task work.
1:13:08 They're going to do it all to a certain
1:13:09 level
1:13:12 and then at some point something is
1:13:14 going to rise above the noise. Well,
1:13:16 what's going to rise above the noise?
1:13:18 Well,
1:13:19 likely some human will have some idea.
1:13:22 Oh, what if we did this with this thing?
1:13:25 What if we took this concept and that
1:13:26 concept and we married them and right
1:13:28 and then that human is kind of
1:13:30 shephering the agents to deliver
1:13:32 something that no one else has seen
1:13:34 before something that rises above the
1:13:35 noise.
1:13:37 That's what I think our job becomes is
1:13:39 to have ideas and to maintain the
1:13:41 fidelity of those ideas as you
1:13:45 understand which of these agent swarms
1:13:47 to be able to deploy on your behalf or
1:13:50 your company's behalf. So, I think
1:13:52 there's a new kind of creative director
1:13:55 superstar coming
1:13:58 that will be like the idea guy who can
1:14:00 maintain the fidelity of the idea or the
1:14:02 the idea girl. Um, woman, sorry, I'm 60.
1:14:08 I have bad habits. Um,
1:14:16 you know, is that going to happen in a
1:14:17 year? Is that going to happen in two
1:14:18 years? Five years? I don't know, but
1:14:20 it's going to happen. I think it's going
1:14:21 to happen within a year.
1:14:23 I worry that this is going to make
1:14:25 people extremely dumb. I think that it's
1:14:28 going to make people extremely hopeless.
1:14:31 Um, you know what's funny, Will, is I
1:14:34 don't I don't know how much like vibe
1:14:36 coding you do and playing like one of
1:14:38 the things I strongly recommend is is
1:14:40 play cross discipline. Like explore
1:14:43 outside of your domain.
1:14:46 really go look at if you're not good at
1:14:48 drawing or making movies or whatever
1:14:50 you're really good at coding I would
1:14:51 strongly encourage you to explore what's
1:14:54 going on with coding but also go explore
1:14:56 across domains because what you might
1:14:59 find is there might be something in
1:15:00 those other domains that really excites
1:15:02 you that you could take your coding
1:15:03 knowledge and be like a superstar in
1:15:06 some other domain because you think
1:15:08 differently than they think over there.
1:15:09 So there's all sorts of cool stuff to
1:15:11 do.
1:15:13 I think AI absolutely makes it easy for
1:15:16 lazy people to be lazy. And lazy people
1:15:20 are going to get dumb, but lazy people
1:15:24 probably already are.
1:15:26 It's not going to make them dumber, it's
1:15:28 just going to make them lazier and
1:15:30 they're going to take advantage of that.
1:15:33 Lazy people that don't want to do
1:15:34 anything with their life, they're just
1:15:35 going to keep doing that. Now, now
1:15:37 they're going to be empowered to do that
1:15:39 even more.
1:15:41 What AI requires if you want to do it
1:15:44 right is an incredible depth of critical
1:15:47 thinking
1:15:49 to be able to like look at what's
1:15:50 coming, look at what's here now, look at
1:15:52 what's coming, look at all these other
1:15:54 different things you can do, figure out
1:15:55 how I can take an idea, express it in
1:15:58 multiple domains at the same time,
1:16:00 maintain the fidelity of that core idea
1:16:02 across domains using all these different
1:16:04 tools that all have their quirks and
1:16:06 personalities. I have never been so
1:16:08 engaged intellectually and creatively in
1:16:12 my life as I've been in the past three
1:16:14 years. It is absolutely the opposite of
1:16:17 what your fear is.
1:16:19 Unless you're lazy. You know the famous
1:16:22 the famous MIT study that came out that
1:16:25 said, you know, AI makes people dumber.
1:16:30 What you actually found if you read the
1:16:33 piece
1:16:36 was that people that just push a button
1:16:38 and publish the results are dumb
1:16:43 and get don't improve. But people who
1:16:46 push the button and look at what came
1:16:49 out of it and think critically about it
1:16:50 and go, "Huh?" and push the button again
1:16:53 and
1:16:54 collaborate with it as if they were
1:16:56 collaborating with a really smart
1:16:58 savant.
1:17:00 that had no common sense,
1:17:04 their brains actually got smarter. That
1:17:06 was the fourth conclusion in that in
1:17:09 that paper. There were three conclusions
1:17:11 that all of the papers talked about.
1:17:13 Makes people dumber.
1:17:16 There was a fourth conclusion.
1:17:19 When you engage with it with your
1:17:20 critical mind and your creative mind and
1:17:23 you do [ __ ] with it, IT MAKES YOU
1:17:25 SMARTER.
1:17:27 MELTDOWN MONDAYS ARE HERE.
1:17:32 Tik Tok pin Joy Party. Wait, who was the
1:17:34 What was the pin?
1:17:38 Mary Mary, didn't we all have a teacher
1:17:40 that said, "If you ask the right
1:17:42 questions,
1:17:44 you'll get the right answers." That's
1:17:46 That's the new skill.
1:17:50 If you're good with talky bits,
1:17:54 if you're good with ideas and being able
1:17:57 to articulate them,
1:18:00 you are going to be a rock star in in
1:18:04 this world we're entering.
1:18:06 If you're AI literate, if you sit on the
1:18:08 sidelines and like, I don't like it, it
1:18:10 smells.
1:18:12 You're going to get your ass handed to
1:18:13 you. My film script title I'm working on
1:18:16 is titled Shirtless Shepherd. Love it.
1:18:22 And I, by the way, will I'm not yelling
1:18:24 at you. I'm just I'm I'm like it's the
1:18:27 the thing that gets my
1:18:30 my my blood pressure up is that it's so
1:18:35 easy to fall into the tropes. There are
1:18:38 so many tropes. Well, if it's creative,
1:18:41 you're going to be less creative. If
1:18:42 it's smart, you're going to be less
1:18:44 smart. It steals. It's the world's
1:18:45 greatest plagiarism machine. People
1:18:47 don't understand how the technology
1:18:48 works. They don't understand how to
1:18:50 actually engage with it. They don't
1:18:52 understand what a chain of craft look
1:18:54 looks like that includes human
1:18:56 contribution and machine contribution
1:19:00 informing one another over time to
1:19:02 produce sophisticated results. They
1:19:05 assume, oh, if AI did it, it's slop. No,
1:19:08 it's it's slop if it's slop.
1:19:12 Someone was lazy and was like,
1:19:15 "That's slop. I'll give you that." But
1:19:18 don't assume that the work that Joy
1:19:20 Perie does for her award-winning films
1:19:24 is slop just because she uses AI,
1:19:28 right? It's that simplistic [ __ ]
1:19:30 that makes it just drives me [ __ ]
1:19:33 baddy. It's just not my It's just not my
1:19:36 lived experience with with the people
1:19:38 doing amazing work. Um, okay. the Svka
1:19:42 ad. Mind your tabs. Okay, let me click
1:19:45 on this.
1:19:58 Where are we going to do it? I will do
1:20:00 it here.
1:20:10 That's McAfee.
1:20:12 >> First and foremost, huge, huge fan, Mr.
1:20:15 McCaffy.
1:20:18 >> Since new Ailm arrived, they don't want
1:20:21 to help me stopping
1:20:26 or just
1:20:30 I don't quite know what that means, but
1:20:31 okay. All right, let's
1:20:35 Okay,
1:20:37 so what is this? This is AI generated ad
1:20:40 from the Christmas Coke Agency, but
1:20:42 because it wasn't ripping off a classic,
1:20:44 no one noticed or cared. Okay,
1:20:46 interesting.
1:21:03 Super freak.
1:21:05 She's super freaky.
1:21:19 Nice. There you go. It's fine. It's a
1:21:22 fine commercial.
1:21:24 Like, I mean, here here's a here's an
1:21:26 interesting thing. Does it really
1:21:28 [ __ ] matter
1:21:30 if that commercial was
1:21:34 created with 3D rigged puppets, digital
1:21:37 puppets that were composited over real
1:21:39 people being filmed dancing? No. Do you
1:21:42 give a [ __ ] No.
1:21:44 It's just another [ __ ] tool.
1:21:48 We'll get Listen, we'll get over this.
1:21:51 We'll we'll we'll get over the absolute
1:21:54 shock and horror that Oh my god, they
1:21:56 used an AI tool. We'll get over it.
1:22:06 We got over hip hoppers sampling music.
1:22:10 We figured out that that could actually
1:22:11 be music. Like hip-hop is actually a
1:22:14 form of self-expression now.
1:22:19 H
1:22:20 I think that ad is slop. It's fine. Like
1:22:23 it's just
1:22:24 >> if it's okay with you.
1:22:25 >> It's a boring ad. It's a boring ad. The
1:22:29 Duncan ad was great though. Yeah,
1:22:31 there's some good ones out there.
1:22:32 Listen, again, Kelly, you're you're
1:22:34 you're making the point I was making
1:22:35 earlier that there's going to be so much
1:22:37 stuff like like that FedEka ad is the
1:22:41 kind of thing that algorithmic, you
1:22:43 know, agents will be able to make those.
1:22:45 It's just going to crank out ads like
1:22:48 that. And then someone's going to do
1:22:50 something really creative, right, that
1:22:54 stands apart from the crowd because
1:22:56 someone goes, "Okay, I can see all the
1:22:58 patterns. All these ads look the same.
1:23:01 What if we did something
1:23:03 very different? You know,
1:23:06 you're just passionate. I am passionate.
1:23:09 But Kyle, the self-doubt is real.
1:23:11 Intellect smartless. Yeah, I know.
1:23:16 Thank you. I've argued with people all
1:23:18 week this past week. That's I'm I am
1:23:22 here. Listen, I sense I sense your your
1:23:25 frustration and rage, so I get it out
1:23:27 here for you.
1:23:31 Yeah, the anthropic ads were great. The
1:23:33 anthropic ads were great. China's
1:23:35 embracing AI a lot with food services.
1:23:39 Well, China's embracing AI everywhere.
1:23:42 Like, from what I understand, people
1:23:43 that have gone back to China and have
1:23:46 kind of done reports from the inside
1:23:47 that that know that the AI world here,
1:23:50 they're like, there's none of this
1:23:52 resistance [ __ ] There's none
1:23:53 there's no people in China standing on
1:23:55 the sidelines going, we shouldn't make
1:23:57 progress.
1:24:01 I don't know. Just we're just in a we're
1:24:05 in a weird [ __ ] state, man.
1:24:08 But I'll tell you what, it is time for
1:24:16 time for people to recognize that. Uh
1:24:22 here's the here's the the cold reality.
1:24:32 We all already live in the future,
1:24:41 but we're in a we're in a cusp. We're in
1:24:43 a transition.
1:24:48 And
1:24:51 some people
1:24:54 like a lot of the people that hang out
1:24:55 on this channel and people that you know
1:24:59 that are
1:25:01 thinking about
1:25:06 how we can use AI to amplify
1:25:09 our humanity
1:25:12 rather than trying to battle AI to save
1:25:16 our humanity.
1:25:20 There there are two different futures
1:25:23 operating simultaneously right now. And
1:25:26 some of us are living in this other one.
1:25:29 We're all living in this new future.
1:25:32 There's a bunch of people kind kind of
1:25:34 living in this old one that's dying and
1:25:36 it's just going to become more and more
1:25:39 and more apparent.
1:25:41 And so I think it's up to us that can
1:25:44 see what's coming to
1:25:52 to prepare these other people for for
1:25:55 what's about to happen. So
1:25:59 China's a mess. Fascinating.
1:26:04 They don't want to disappear. I think I
1:26:06 understand.
1:26:10 You don't need to convince me. Tik Tok
1:26:12 pin. Get off my sticky. Oh, sorry.
1:26:17 Sorry, producer Brandon.
1:26:19 I made his sticky note uneditable.
1:26:23 That's annoying. Oh, man.
1:26:29 What time is it? All right, it's getting
1:26:31 to be time. Let me get on out of here.
1:26:35 Anybody have any final thoughts at this
1:26:37 point? It's a good feeling being here.
1:26:40 Yang Ma, good to see you. Think of all
1:26:44 the papers I've
1:26:47 written and things. Yeah, exactly.
1:26:49 There's still a Tik Tok pen.
1:26:56 We We want Kyle to lower his cortisol
1:26:58 levels now.
1:27:05 The future is already here. It's just
1:27:06 not evenly distributed. Yeah. A shoe.
1:27:08 That's it. I mean, William Gibson called
1:27:11 it, right? Right. The the the jagged the
1:27:15 jagged frontier. Was it Ethan Mollik
1:27:18 that called it the jagged frontier or
1:27:19 someone called it the jagged frontier?
1:27:21 We're in the jagged frontier.
1:27:24 If you're
1:27:26 if you're spending time on this channel
1:27:28 with any regularity,
1:27:32 you're already there. You know, you know
1:27:34 what's coming. You know what's here. we
1:27:37 we essentially can see the shape of how
1:27:39 this movie moves forward.
1:27:41 There's just this increasing gap between
1:27:45 that mindset and this and this other
1:27:48 mindset. They think they're in a
1:27:49 different world than they're actually
1:27:50 in.
1:27:52 And so that's going to be our ch that's
1:27:54 the whole point of the great repurpose
1:27:57 is if we can name it and articulate it
1:28:00 and
1:28:03 provide a bridge for these people then I
1:28:08 don't know I think good things happen in
1:28:10 the world or better things happen in the
1:28:12 world than without that. So that's the
1:28:15 thing I'm really excited about.
1:28:19 All right, you all good? Have you used
1:28:22 Google anti-gravity yet? You can use
1:28:25 claudopus 4.62. I I had I I downloaded
1:28:29 anti-gravity and when I saw the 46 pages
1:28:33 of preferences, I I I uninstalled it.
1:28:39 I'm like, I am not prepared to go
1:28:41 through 46 pages of settings
1:28:45 to set up my little coding environment.
1:28:48 I don't give a [ __ ] I want to go to
1:28:50 something like Lovable and go, "Daddy
1:28:53 wants a video game and it makes me a
1:28:55 video game. Daddy wants to make money
1:28:57 with the video game and it installs
1:28:59 e-commerce. Daddy wants it to be secure
1:29:01 and it fixes all the bugs. That's it.
1:29:04 That's all I want."
1:29:08 But I'm sure it's awesome.
1:29:11 Oh my god.
1:29:14 H rock paper scissors. Me too. That's
1:29:17 way above my pay grade. Exactly.
1:29:24 Oh man.
1:29:29 Oh, these are ideas I can use. I'm
1:29:32 subbing.
1:29:34 That's great. All right. Um I'm gonna
1:29:38 get out of here. Y'all hope you had a
1:29:39 good good Monday night. Um what's
1:29:42 tomorrow night? Uh,
1:29:45 it's nothing. It's
1:29:48 nothing. Just a normal Tuesday. Just
1:29:52 another magic Monday.
1:29:57 Yeah, tomorrow's Tuesday.
1:30:00 So, I'll see you here at 8:00. If those
1:30:02 of you that are if there if you're new
1:30:04 here tonight, uh, welcome. Uh, if you're
1:30:07 returning here tonight, welcome back. Do
1:30:09 me a favor. I'd like to start spreading
1:30:12 the word about um
1:30:16 about this channel. I want to I want to
1:30:19 start shifting the conversation to this
1:30:22 idea of the great repurpose and
1:30:25 daily practices and things like that.
1:30:27 We'll still do some AI stuff, but but I
1:30:29 want to start building the uh
1:30:32 conversation here. So if you know anyone
1:30:34 who is
1:30:36 living in the future from the future
1:30:41 that's heart-c centered and up to some
1:30:45 things in the world. I'd like them to be
1:30:46 in this conversation. Start start
1:30:48 thinking about that. Thanks Will. Thanks
1:30:50 for your uh
1:30:52 got to go to Yeah, I wasn't looking at
1:30:54 the time. I know it's late. This is this
1:30:55 is a late thing. Oh, Stea left a comment
1:30:57 for me in regulars. I'll go check that
1:30:58 out. Uh but but Will, thanks for hanging
1:31:00 out and thanks for your your good
1:31:02 questions. Please come back.
1:31:19 What surprised me yesterday? What's my
1:31:21 grandmother saying? I know it's not real
1:31:23 pup. We use it every day at school. She
1:31:25 say that stopped me for a moment. For
1:31:26 me, this stuff feels new for them. Oh,
1:31:28 this is cool from from Steo.
1:31:33 As most of you know, this is a comment
1:31:34 Steo put in irregulars.
1:31:37 As most of you know, I only use Chat GPT
1:31:39 for creating images of Kyle and Champ
1:31:41 and sometimes fun images of my
1:31:43 grandchildren in different places with
1:31:45 different characters. What surprised me
1:31:47 yesterday was my granddaughter saying,
1:31:49 "I know it's not real pop. We use it in
1:31:52 school every day. She's eight." That
1:31:55 stopped me for a moment. For me, this
1:31:56 stuff feels new. For them, it's already
1:31:58 normal. And that, you know, that happens
1:32:02 even on this channel where the stuff
1:32:04 that blew our minds, you know, within a
1:32:06 month or two becomes completely
1:32:07 normalized and we're like, why isn't it
1:32:09 better? Why isn't it faster?
1:32:12 But you're right, man. Like Brandon's
1:32:15 kids, any kid right now that's in the,
1:32:18 you know, in the just single digits,
1:32:23 they are living in a world where they
1:32:25 understand that they can just ask for it
1:32:27 and it will be generated. That's going
1:32:29 to get more and more and more powerful
1:32:30 and more and more normal
1:32:34 and all the jobs are going to change and
1:32:36 we are going to be trying to figure out
1:32:39 what do we do next and we'll listen
1:32:42 we'll figure it out unlike many people
1:32:46 on the planet that are just like it's
1:32:48 going to steal our jobs and everything
1:32:50 will be dead. No.
1:32:52 No.
1:32:55 Look at history. Every tech challenge,
1:32:58 every every tech transformation, every
1:33:00 single one feels like this. It's gonna
1:33:03 kill every No,
1:33:06 we're gonna figure it out. We're going
1:33:07 to figure out how to coexist with it.
1:33:09 And it's going to change everything. And
1:33:11 it's going to require us, I think, to
1:33:14 understand who we are and what we want
1:33:16 and the difference we want to make in
1:33:17 the world. That that's going to be our
1:33:20 core job. Our core job
1:33:23 is going to be to have a point of view.
1:33:28 Period.
1:33:30 Because all the other stuff will be
1:33:31 taken care of.
1:33:35 All right. Beautiful. I only know Ava 20
1:33:38 2045 from the future. Night everyone.
1:33:42 All right, everyone. Thank you. Thank
1:33:43 you, Mods. Thank you, Brandon.
1:33:45 Appreciate everyone. Have a good night.