10/27/2025 - My Disappointing Experience at TED AI and What the Tech World Is Getting Wrong

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0:01 All right, I'll be right back. Hang on
0:04 one sec.
0:09 Ready to sing?
0:30 All right. Going live there. Going live
0:33 there. [clears throat]
0:35 All right, champ. You ready to You ready
0:38 to howl at the moon? Huh? Are you ready
0:42 to howl at the moon, big buddy? [music]
1:13 Come here.
1:19 [music]
1:21 Oh,
1:25 [music]
1:38 hey,
1:42 [music]
1:46 hey, hey, hey, hey, hey.
1:55 >> [music]
1:57 >> We are back, baby. We are back. [music]
2:02 Everybody forgot we were gone. Danielle
2:05 didn't. Danielle's here.
2:08 [music]
2:09 Producer Brandon in the house. See slug
2:12 of doom.
2:16 [music]
2:20 >> [singing]
2:28 >> I think we may need to record. See if we
2:30 can get Champy to sing for Suno. Hang
2:33 on, people. Calm down. Just everybody
2:35 calm down. I know you're excited. You
2:37 want to hear about my trip?
2:44 [music]
2:45 >> Okay, that's it. That's what we're going
2:47 to do. So, why is it not loading? What's
2:51 going on? Come on.
2:54 Share this tab.
2:57 Create audio. Record.
3:02 You ready, champion? Here we go.
3:05 [music]
3:10 That's driving me crazy.
3:13 That's [clears throat] not it. We're
3:14 going to start over.
3:17 >> [music]
3:25 >> Woohoo!
3:28 [music]
3:34 [music]
3:44 Okay, let's listen to that.
3:47 >> [laughter]
4:05 [laughter]
4:05 >> Thank you for the gift, Robert Rossy.
4:07 What's happening in Source Camp? Vicki.
4:09 Vicki in the house. Tom Nodler. Cosmic
4:12 lover. We got the It's a party. It is a
4:16 party. We're back, baby. Share the live
4:19 if you haven't. We're gonna make a song
4:20 out of that horrible thing we just did.
4:23 We're gonna just randomly We'll have It
4:26 Write lyrics. Write full song. Uh let's
4:30 see. um
4:33 song about
4:37 um a washed up
4:40 has been
4:44 dog
4:46 that used to
4:51 sing in stadiums
4:56 but now
4:58 just sings on Tik Tok. [ __ ] [laughter]
5:06 [laughter]
5:12 [music]
5:16 There was a time I sold out stadiums.
5:19 Now I sell myself on TikTok. All the
5:22 fanfare used to put me in the chair. All
5:24 right, we'll do that one. Select that
5:26 option. All right, there we got lyrics.
5:28 Now, we're gonna just pick styles from
5:30 the thing. Piano,
5:32 uh, punchy baselines, indie rock,
5:37 uh,
5:40 uh, I got to share this tab. Am I
5:41 sharing that tab? Yeah, I am. Cams and
5:43 bars. Cams. Cams. There's cams. Cammy
5:47 Cam. There's Cam. I know. We haven't
5:50 even started yet. You're like, what is
5:51 he doing? What What application is that?
5:55 I want to know. Clear and powerful voice
5:59 create. All right, let's see how bad
6:01 this song is. [music]
6:13 [music]
6:22 >> [music]
6:26 [music]
6:31 [music]
6:36 [music]
6:39 >> Okay. Dog of the year. I like the name.
6:41 Like the title.
6:45 [music]
6:46 Oo.
6:54 All the fanfare. They put me in a little
6:57 chair. Gave me my own ball to chew, my
7:00 own t-shirt. [music] And it's cool, I
7:02 guess. But it's not fair. They still
7:05 don't know. I'm the dog of the year. I
7:07 got my Tik Tok views. My tick tock
7:09 views. My tick tock [music] views. I
7:11 guess it's better than no views. No
7:14 views. I used to sell out.
7:18 I used to have real [music] things.
7:21 Now I'm just watching.
7:23 I guess [music] this is what happens
7:25 when you tell everyone that you're
7:29 [music] real.
7:32 Now I'm just watch. [music] I can't
7:35 believe this is what
7:37 you tell everyone that you're a dog.
7:39 When you tell everyone that you're a
7:41 dog.
7:47 >> [music]
7:48 >> It's so cute. I know it's not their
7:50 fault. I do. They want [music] me to be
7:52 happy, but they don't know I can't be.
7:55 And it's fine, I guess. But it's not
7:57 true, cuz dog, I have feelings, too. I
8:00 got my Tik Tok views, my Tik Tok views,
8:03 my Tik Tok views, [music] my Tik Tok
8:05 views. I guess it's better than no
8:07 views. No views. I used to sell [music]
8:11 videos. I used to real
8:18 [music] this is what happens when you
8:20 tell everyone that you're
8:24 real [music]
8:26 now.
8:29 I guess this is what happened. Will you
8:31 tell [music] everyone that you're will
8:34 you tell everyone that you're
8:39 [music]
8:44 I have to laugh. I never meant to go out
8:48 this bad. Now all I have is my
8:54 [music]
8:58 >> All right, that's pretty. That's a
9:00 banger. That's a bop, as Anne Murphy
9:02 would say. We got a bop. Song one, a
9:04 bop. All right, let's listen to the
9:05 other one. Dog of the year.
9:19 All the fanfare. [music] They put me in
9:22 a little chair. Gave me my own ball to
9:25 chew my own [music] t-shirt. And it's
9:28 cool, I guess. But it's not fair. They
9:32 still [music] don't know. I'm the dog of
9:33 the year. I got my tick tock views. My
9:36 tick tock [music] views. My Tik Tok
9:38 views. My tick tock views. I guess it's
9:42 better than no views. No views. [music]
9:47 I used to sell out. [music]
9:49 I used to have real fans. Now I'm just a
9:53 washed up husband. I guess this is what
9:56 happens when you tell everyone [music]
9:58 that you're a dog. I used to have real
10:01 fans. Now I'm [music] just watching.
10:05 I guess this is what happens [music]
10:07 when you tell everyone that you're a
10:10 dog. When you tell everyone that you're
10:13 a dog.
10:16 >> It shouldn't be when you tell everyone
10:17 you're a dog. It should be when they
10:18 find out you're a dog. Wait, hang on.
10:22 Lotus. It's not fair. Still dug. You got
10:24 my Tik Tok views. My Tik Tok views.
10:26 Guess it's better than no. No. These
10:28 cell stadiums wash up.
10:31 I guess this is what happens when they
10:36 when they
10:39 find out
10:42 you're a dog
10:45 right
10:47 now. I'm just washed up has been.
10:50 I guess that what that's what happens
10:57 when they all know that you're a dog.
11:04 When
11:07 if you don't know what I'm doing, that's
11:10 because I'm just doing it all.
11:13 Know that you're a dog verse
11:16 for having can be because dog I have
11:18 feelings too. Tik Tok views stadiums
11:22 when you tell everyone to say let me go
11:23 copy the line so I don't have to keep
11:25 typing it.
11:27 Wait, let's see. when they'll know that
11:29 your dog was sick.
11:32 Still dog of the year
11:37 when they find out
11:40 you're a dog.
11:44 When washed up has been when they Oh
11:48 crap, I did not just do that.
11:54 D.
11:57 By the way, I'm on SNO right now
12:01 and I'm I'm using Sunno V5.
12:05 So, these songs that we just made, I
12:07 made a little silly idea that it wrote
12:11 the lyrics for. Oops, that's not right.
12:15 When you tell everyone you're a dog,
12:17 when they find out you're a dog,
12:27 copy
12:29 um Sunno 4.5
12:32 um which is really good
12:36 uh is now free for everyone. So if you
12:40 have been wondering how do I make cool
12:42 songs like that, you can go do it. And
12:43 by the way, a really cool thing. There
12:47 was a study that was released this week.
12:51 [clears throat] Guess it's better. No
12:52 views any views. Real fans. Now I'm just
13:05 Now I'm
13:08 just
13:11 Now I'm just a dog
13:18 howling at the moon.
13:25 the tick tock moon. [laughter]
13:30 All right, [snorts]
13:31 so let's let's get our new lyrics in
13:33 there. Um,
13:37 if you have not played with suno, get
13:39 your ass to suno right now. So,
13:45 [music]
13:46 you don't need to play songs either. You
13:48 can just tell it, make me a song about
13:49 whatever, and it'll do it. [music]
13:57 >> [music]
14:07 >> Standing between
14:10 you and a hard place is insane.
14:17 standing [singing] too near
14:21 unifile makes it clear. [singing]
14:27 You're trouble to [singing and music]
14:29 me.
14:33 >> All right, let's listen to our dog song
14:35 and then we'll get this show started.
14:44 Oh,
14:46 all the fanfare.
14:48 They put me in a little
14:53 t-shirt.
14:55 >> Wait, hang on. That song sounded really
14:57 cool. By the way, Tom Nodler, how do I
14:58 share a song on LinkedIn? If LinkedIn is
15:01 like um Twitter and you can't actually
15:04 upload an audio file, which seriously,
15:08 but anyway, that's neither here nor
15:10 there. Um you have to turn it into a
15:12 video. So in Sunno, when you say
15:15 download, you can download it as a video
15:18 if you've if you've got a paid account
15:20 or pro account.
15:22 Uh, if not, then you can take it into
15:24 something like dscript and just put it
15:26 in as audio and then have it make a
15:28 lyrics video or Canva probably does.
15:31 [music]
15:31 >> I guess it's not fair.
15:35 I'm the dog of the year. I got my tick
15:37 tock. My tick tock. My tick tock.
15:41 [music] My tick tock.
15:43 But I guess it's better than no views.
15:46 No [music] views. I used to sell
15:49 stadiums. I used to have real fans.
15:51 [music] Now I'm just a washed up hen. I
15:54 guess this is what happens when they
15:56 find out you're a dog.
16:00 I used to [music] have real fans. Now
16:02 I'm just a washed up. I guess this is
16:05 what happens [music] when they all know
16:07 that you're all
16:14 [music]
16:18 >> That's kind of cool. Ooh, [music]
16:21 all the fanf fair. They put me in a
16:25 little chair. [music] Gave me my own
16:27 ball to chew my own t-shirt. And it's
16:30 cool, I guess, but it's [music] not
16:31 fair. You still don't know I'm the dog
16:34 of the year. I got my tick tock views.
16:38 My tick tock views. My tick tock [music]
16:40 views. My tick tock views. I guess it's
16:42 better than no views.
16:45 [music] No views.
16:49 I used to sell out stadiums. [music] I
16:53 used to [screaming] have real fans. Now
16:55 I'm just a washed off.
16:58 I guess this is what happens when they
17:01 find out you're a dog. I used to [music]
17:06 real fast. Now I'm just washed up.
17:10 [music] I guess this is what happens
17:12 when they all know that you're a dog.
17:15 When they all know that you're a dog.
17:20 >> Nice.
17:22 [music]
17:22 >> So cute. I know it's not.
17:25 They want me to be happy, but they don't
17:27 know I can be. [music]
17:29 And it's fine, I guess. But it's not
17:32 true cuz dog [music] I have this too. I
17:36 got my tic tac view. [music]
17:46 I guess it's better than no [music]
17:48 view.
17:54 I [music] used to sell.
17:57 I used to real [music]
18:05 [music]
18:11 >> Oh, that's good. Silver Fox, fade out.
18:14 Fade out with a sad long howl. Okay,
18:17 wait. Let's add that. Let's add that to
18:19 the style. Um, [clears throat]
18:21 let's see. [laughter] That's really
18:23 good. Fade out with a long
18:29 sad howl.
18:31 That's good. All right. So, we'll do one
18:33 as a girl, one as a boy.
18:36 See which one we like. I think I like
18:37 the girl ones better. The uh the the the
18:40 boy ones sound like um what's his name?
18:43 Rick.
18:45 Not Rick Ashley. Rick uh
18:50 Rick Springfield. I don't know.
18:53 [clears throat]
18:54 [laughter]
18:55 It's just crazy. I can't I honest to God
18:59 can't believe that we're living in this
19:01 present. That is the future. [laughter]
19:05 This is just bonkers.
19:09 [laughter]
19:10 Oh man. Good to see everybody. Um
19:15 All the fan.
19:17 They put me in a little chair. [music]
19:20 Gave me my own ball to chew. My own
19:23 t-shirt. And it's cool, I guess. But
19:26 it's not fair. They still [music] don't
19:28 know. I'm the dog of the year. I got my
19:31 tick tock. My tick tock views. My tick
19:34 tock. My tick tock. I guess it's better
19:38 than no views. [music] No views.
19:47 Wait, you started talking about the
19:48 pseudo study. Oh,
19:51 >> yes. When when you wrote that before,
19:53 Brandon, I thought you meant like I
19:56 should give out study homework, but yes,
19:58 I did say that. So, um, so a a paper
20:03 just came out that they asked people
20:07 what was human music and what was AI
20:09 generated, and it was a 50/50 split. So,
20:12 it was basically they couldn't tell. And
20:15 that was with Sunno 3.5. So, Suno 4.5 is
20:19 now free. And if you want the MacDaddy
20:21 latest model, that's version five.
20:23 That's that's the one you pay for now.
20:25 But version 4.5 is free. That study was
20:27 done with last year's technology and it
20:30 was a 50-50 split whether people could
20:32 tell. So all the people that are like
20:34 it's soulless it's no it's not. It's
20:37 not. It's good. And if you put a little
20:41 bit of intentionality behind it like I'm
20:43 doing here like I just had that funny
20:46 little What was it?
20:52 [music]
20:56 something like that. It just sounded
20:58 cool. I put it into Sunno song Champion
21:00 was singing. I wrote it about a dog. And
21:03 now we got this cool little bop we're
21:04 working on.
21:06 Um Yeah. Crazy. Rico Kasich. Yes,
21:11 exactly. Doesn't it does Don't some of
21:13 these sound like Rick Kasich?
21:21 >> Listen to the Yeah. The cars.
21:24 [music] They're so cute. I know it's not
21:26 their fault I do. They want me to be
21:28 happy, but they don't know I can't be.
21:30 And it's fine, I guess. But it's not
21:33 true. Cuz [music]
21:36 I got my tic tac
21:39 tic tac view.
21:42 I guess it's better than
21:46 [music]
21:53 >> Yeah, that's good. That's very very What
21:55 is that? '90s pop.
22:04 [music]
22:05 >> All the fanfare.
22:07 They put me in a little chair. Gave me
22:10 my [music] own ball to chew my own
22:12 t-shirt. And it's cool, I guess. [music]
22:18 [singing]
22:21 >> No.
22:35 All the fanfare [music]
22:37 they put me in a little chair. All
22:40 right, let's see if this one ends with a
22:43 how.
22:45 [music]
22:49 >> No views. I used to have real fans. Now
22:53 I'm just Now I'm just [music] Now I'm
22:57 just a dog
23:00 at the moon.
23:02 The tick tock.
23:06 >> No,
23:07 >> no fade out. [music] All the fan, they
23:11 put me in a little tear. Gave me my own
23:16 [music] ball to chew, my own t-shirt.
23:19 And it's cool, [singing] I guess, but
23:21 it's not fair. They still don't know.
23:24 I'm the dog of [music] the year.
23:28 I got my tick tock.
23:32 [music]
23:33 Right. There's that.
23:37 [music]
23:45 [music]
23:47 >> Hey, by the way, thank you. I was going
23:49 through withdrawals for everyone that is
23:51 saying how much they missed me. Thank
23:52 you very much. I missed you guys, too.
23:54 It was like, it was nothing personal. It
23:56 was really just last week all of my
23:59 activities were evening. I was either on
24:00 a plane or at some big shindig.
24:03 So, so I just I wasn't around. Um, stuff
24:08 on the West Coast in the evening just
24:10 pretty much eats eats this time slot.
24:12 So, um, so it's good to be back. So, but
24:15 I appreciate the kind words from
24:17 everyone. It's really nice. It's generic
24:19 Ariana Grande saying, "Boy, I'm
24:22 critical. Sorry." That's okay. Well,
24:24 we're we're not really we're just kind
24:26 of [ __ ] around right now. So, it
24:28 shouldn't sound like anything
24:31 >> unless you stumble on. Sometimes you
24:33 stumble on things like that that circus
24:35 song we did. That voice in that thing
24:37 was consistently
24:39 [music]
24:43 gave me [music]
24:46 my own t-shirt. And [singing] it's cool,
24:48 I guess, but it's [music] not fair. They
24:50 still don't know. [singing] I'm the dog
24:53 of the year.
24:56 I [music] got my tick tock views. My
24:58 tick tock views. My tick tock.
25:02 My tick tock [music] views. I guess it's
25:04 better than no views. No views.
25:11 [music]
25:12 I used to sell out stadiums. I used to
25:16 have real fans. [music]
25:18 Now I'm just watching.
25:20 I guess this is what happens when they
25:23 find out you're a dog.
25:28 I used to have [music] real friends. Now
25:30 I'm just a washed up.
25:33 I guess
25:36 I binged on serial murderers all week
25:39 [laughter]
25:41 out my window.
25:45 You were on the West Coast and didn't
25:47 tell me. Oh, sorry, Chef Kelly. You know
25:49 what? Well, I I said I was going to
25:50 TEDex, but I decided like three days
25:53 before that I was going, so I didn't.
25:55 The the one person that I did connect
25:57 with out there was Leah Fon, my
25:59 co-founder of the uh of the AI salon. Um
26:02 she and I had a really good breakfast
26:03 and I have a ton of ideas from that
26:06 meeting for the salon. So, I'm [music]
26:08 really excited.
26:10 Um I've been using chat GPT to describe
26:12 the style of a song and then use that in
26:15 sunno. Yeah, that's that's a really good
26:16 way to do it. Um because it's one of the
26:18 nice things about that if you just put
26:20 in like I want it to sound like Annie
26:22 Lennin, sometimes it won't do it. I
26:24 think ethically it's it's also good just
26:26 not to do it. But if you go to chat GPT
26:28 and say you know describe the music of
26:31 Annie Linux or describe the music of
26:33 Annie Lennin and I don't know someone
26:34 else you like uh Nico case and and have
26:38 it create a description of it. Put that
26:40 into that can be really really powerful.
26:46 >> [music]
26:47 >> What's the magic button in?
26:54 Oh, yeah. The dice button in the in the
26:58 styles. Let's see. Right here. You just
27:01 hit the You just hit the uh the uh
27:06 the magic wand.
27:18 >> [music]
27:18 >> All the fanfare.
27:20 They put me in a little chair.
27:24 Gave me my own ball to chew my own
27:27 t-shirt. And it's [music] cool, I guess.
27:31 But it's not fair. They still don't
27:33 [singing] know I'm the dog of the year.
27:35 I got my tick [music] tock views. My
27:37 tick tock views. [singing] My tick tock
27:40 views. My tick tock views. I guess it's
27:43 better than [music] no views. No views.
27:46 >> I used to sell
27:50 [music] I used to have real fans now.
27:54 >> All right, that's one we could work on.
27:56 You know what I think was the best one
27:57 of them was the first one [laughter]
28:00 after all that.
28:09 Oo,
28:12 all the fanfare. They put me in a little
28:15 chair. Gave me my own butter chew, my
28:19 own t-shirt. [music] And it's cool, I
28:21 guess, but it's not fair. They still
28:23 don't know. I'm the dog of the year. I
28:25 got my tic tac views. My tick tock
28:28 [music] views. My tick tock views. I
28:30 guess it's better than no views. No
28:32 views. I used to sell out stadiums.
28:35 [music]
28:36 I used to have real things.
28:39 Now I'm just watching.
28:42 I guess this is what happens when you
28:44 tell everyone that you're a dog.
28:47 I [music] used to have real things.
28:50 Now I'm just watching. I guess this
28:53 [music] is what happens when you tell
28:56 everyone that you're a dog. When you
28:58 tell everyone that you're a dog,
29:06 [music]
29:07 >> it's so cute. I know it's not.
29:10 [music]
29:11 >> All right, that one's cute. All right,
29:13 give that a thumbs up. Publish it. Dog
29:16 of the year.
29:18 Um,
29:22 I used to be somebody
29:26 [laughter]
29:29 publish.
29:31 [clears throat] All right. You can go
29:32 find dog of the year on my channel here.
29:35 I'll put it in um I'll put it in
29:40 AI salon.
29:42 Let's see. Share. Copy link. Go to AI
29:46 Salon. AI salon.
29:48 And then I'm going to go to the
29:51 community feed. Oh, you know what? We
29:53 haven't posted in AI Learning Lab in for
29:57 [ __ ] ever. Let's put it in there.
30:11 the little
30:15 little bop we made
30:19 on the live tonight. Okay, so there's
30:25 that. Let's post that. We'll publish
30:28 that. And you know what? We're going to
30:29 tell the whole [ __ ] community.
30:31 [laughter]
30:33 Everybody, everybody needs to hear that
30:35 song. So, everyone's been notified.
30:38 Scroll down just a wee bit. I'm back.
30:42 [laughter]
30:45 That's great. All right. Oh, nice. Corey
30:48 Sandler. Beautiful.
30:51 Um, [clears throat]
30:53 okay. So,
30:56 let's let's get let's get talking. Let's
30:58 get talking first about hair. [laughter]
31:05 I may have been gone for a week, but I
31:07 didn't figure out my uh my uh hair
31:09 management any better than I have in the
31:12 past. I think it's just how it is now.
31:16 Later will say it's AI generated.
31:21 [music]
31:27 [music]
31:31 It's funny not not hearing this guitar
31:34 every night for a week. It like it
31:37 really sounds good tonight to my ear.
31:39 [music]
31:47 [music]
31:53 [music]
31:58 in a westerly
32:04 car is my train
32:09 driving. I've [singing] been wondering
32:12 what it is I'm running from again.
32:16 [music]
32:18 Feel like an 80-y old man
32:22 holding on to 29.
32:26 No head on the horizon [singing]
32:31 is California.
32:33 [music]
32:37 All right, we all want to know about TED
32:39 AI. Okay, let me tell you about TED AI.
32:43 Um, I've never been to a TED event.
32:48 Um, so I was I was quite enamored with
32:51 it. It's it's a brand that's been around
32:53 forever, right?
32:55 Um,
32:57 it was a it was a very well prodduced
33:00 event, right? I'd have been [laughter]
33:02 I'd have been I'd have been disappointed
33:04 if it wasn't a well produced event. Um,
33:10 one thing that caught my eye, they had
33:11 three robots walking around. They they
33:14 had a a humanoid robot that was like,
33:16 you know, 4 410, 411. They're short. And
33:22 then they had two dog two dog bots, one
33:24 on wheels and one on legs. Um, and the
33:27 thing I noticed about the bot was that
33:29 like it wasn't a new bot. It was one
33:31 that had fallen down a lot. Like all of
33:33 the chest, all the paint on its chest
33:36 was all scraped off. So I'm like, that's
33:38 kind of a low rent bot for Ted. That was
33:41 [laughter] that was one of my one of my
33:43 takeaways was they could have gotten
33:45 some they could have at least put a coat
33:46 of paint on it. [laughter]
33:50 And they actually gave one of those bots
33:52 away. They gave one of the dog bots
33:53 away. Um which is kind of cool. Um but
33:58 it was a very well produced event. The I
34:00 think it was at the Herbert Theater. I
34:01 think that's what it was called. Hubert
34:03 or Herbert Theater. Um which was really
34:05 beautiful. It's right next to the
34:06 Capitol in San Francisco.
34:08 Um,
34:10 so before I got going, let me pull up
34:13 something.
34:16 Um,
34:21 let me change how I'm sharing.
34:23 Do I have all these things in here?
34:27 Yeah. Yeah, I do. [snorts]
34:31 Tom on YouTube. Don't you hate it when
34:33 your students can't differentiate
34:35 between
34:36 [laughter]
34:37 the the the Konis medelara and I don't I
34:41 don't know what words you're saying.
34:44 [laughter]
34:47 Okay.
34:49 [clears throat]
34:55 Okay. So,
34:58 let's see where did I start? started
35:02 here. Okay.
35:07 So, I'm a street photographer. I like
35:10 taking pictures of, you know, just
35:14 stuff.
35:15 And so, I I left my hotel and I was
35:18 going to walk to the event to the venue
35:21 and I saw this picture and then what
35:23 popped in my head was Grock has
35:27 Gro has a new app. If you haven't played
35:29 with it, just go get the Grock app or
35:31 you can also go to grock.com.
35:34 And three months ago, Grock didn't have
35:37 a video model and now they do and it's
35:40 really good and it's really fast. It's
35:43 like 15 seconds. And so I took a a
35:48 second shot
35:50 from like this one
35:53 and then Graedia launched an hour ago.
35:55 Then I took that shot and I thought,
35:57 "Oh, wouldn't that be cool to throw that
35:59 into into Grock and turn that into a
36:02 video
36:04 and so
36:14 that came out."
36:22 And so what immediately hit me was so so
36:25 you may have remembered like a month ago
36:27 I came up with this idea called the 303
36:29 prompt walk which was a combination of a
36:32 photo walk and an AI lesson
36:35 and and when I took this one and I and
36:37 like like I took the picture and like I
36:40 I did no editing on the picture and then
36:42 you literally just upload it into the
36:44 Gro app and it immediately renders it
36:46 into a video. When you upload an image
36:48 into Grock into the imagine module, it
36:52 immediately turns it into a video. So
36:54 this was the first video that came out.
36:59 And I was like, [ __ ] this is almost
37:01 like a new kind of street photography
37:04 because it's like for me, street street
37:07 photography is one of those things where
37:08 it's just like I see a moment and it's
37:12 like I find it beautiful or compelling
37:14 or interesting and so I try to frame it
37:16 up and capture it and now it's and it
37:19 becomes like this this the memory of
37:22 that what it felt like and now this is
37:26 like warping that memory, right? It
37:28 didn't feel like this video, but it it's
37:31 kind of cool, right?
37:33 >> [laughter]
37:33 >> So, so I did a [ __ ] ton of the Well, not
37:36 a [ __ ] ton, but I did like there's a
37:38 just a picture of a hotel and then I
37:41 turned that into this
37:54 [laughter] just all the [ __ ] falling off
37:56 the building, which I thought was kind
37:58 of funny. Um, let's see. I did this
38:02 dude.
38:04 Is this the video? I took a picture of
38:06 him. That turned into a video. I guess I
38:08 didn't upload that one. Um, I took a
38:12 picture of this Tesla and had it burst
38:14 into flames.
38:23 Um, I did this all without prompts, not
38:25 on X. I did it in the Gro app, but you
38:27 could do it, you could do it at
38:28 grock.com.
38:31 Um, also XAI released Grock Studio along
38:34 with Google Drive support. Grock Studio
38:38 allows users to edit documents and
38:39 artifacts and execute code. Oh,
38:41 interesting. Fascinating. Um, and then
38:45 like here's one I did um at the TED
38:47 event. Um,
38:50 where's the where's the video? This is
38:53 it. Why is it not running?
38:56 There we go.
39:07 That one I gave a prompt. I said the
39:08 sign transforms into a humanoid robot
39:11 with the TED AI logo on it. But I mean,
39:14 look at the look at the shadows. So
39:16 that's the shadows from the photo. And
39:19 then look at as that thing unfolds.
39:21 Watch the shadow on the wall. Like it is
39:24 remarkably coherent. like like it's
39:27 following the angles of the shadows.
39:31 I find that kind of remarkable
39:34 and it does the the audio effects. So
39:36 anyway,
39:38 so that
39:40 so I get to the event and I got there
39:42 early um and so I had time to kill and I
39:46 was talking to people, but I was very um
39:52 like I went into the event very inspired
39:55 like like we now live in this world
39:58 where you can just do stuff,
40:02 right? like the like the animating that
40:06 robot coming out from behind the sign. I
40:09 could have done that four years ago if I
40:11 had learned, you know, Da Vinci Resolve
40:14 and and 3D modeling programs and
40:18 rendering and lighting programs and
40:20 things like I could just do it. So, I
40:23 was I was struck by the
40:26 lack of friction in creative expression
40:29 and the ability to just invent
40:30 something. Here is another. This was a
40:32 fun one. Fun one I did.
40:36 Was fun for me. Oops. I'm not sharing
40:37 anymore, am I?
40:43 [music]
40:47 [music]
40:48 [laughter]
40:53 [laughter]
40:54 I'll just leave that image up there for
40:55 a while.
40:58 [cough]
41:00 >> [laughter]
41:01 >> That is disturbing. That is disturbing
41:03 and all too accurate.
41:06 All right. So, so I've got all this kind
41:08 of optimism going in because I just
41:11 We're living in a in a pretty remarkable
41:13 time. I like turtles. It's total I like
41:15 turtles shot. [laughter]
41:19 I like blimps.
41:23 I like derigitles.
41:25 [laughter]
41:27 All right. Let me let me get rid of
41:29 that. That's I should I shouldn't do
41:31 that to you all. Makes makes me laugh
41:33 though. [snorts] Um okay.
41:36 [clears throat] So then so then the
41:38 event starts. Um and I got a good seat.
41:40 There was I was talking to a couple of
41:42 people that were really interesting and
41:44 they'd been there before. They're like,
41:46 "Okay, you got to go in. We got to go in
41:47 and get, you know, dead center and and
41:49 things like that." And so we got good
41:50 seats. Um, and the thing opened up with
41:54 a video of an actor who played like all
41:57 the different stakeholders of AI stuff,
42:00 you know, the skeptic and the doomer and
42:02 the, you know, the maximalist and the
42:04 minimalist and, you know, all those sort
42:06 of things. It was pretty it was pretty
42:07 well done. Um, [clears throat] and then
42:10 the the first three talks were were
42:12 interesting.
42:15 um they were decently technical
42:19 but but they kind of had they they all
42:21 had sort of a thread of humanity through
42:23 them and I thought oh this is going this
42:25 is pretty promising and you know I got
42:26 to say my expectations were that the the
42:29 event would be
42:31 like a lot of really inspiring stuff
42:35 and then as the afternoon went on it
42:38 just kind of ended up being more of the
42:40 same and and the the general theme the
42:44 the talks were very technical. Like
42:46 there was a guy that was about to launch
42:48 um uh the first H100 into space and he's
42:52 got this um design of a basically um
42:57 data centers in space. Um and he showed
43:00 the economics of why it makes sense to
43:02 do that. Um and he's launching it this
43:04 week. Uh is the first one of those going
43:06 up. He was cool. Um but it was it was
43:09 very much about technology and
43:10 infrastructure. There were there were
43:12 talks about you know data centers and
43:14 things like that. There were a lot of
43:16 talks about math and algorithms and the
43:22 algorithms are going to save us
43:25 and like as it's going on I'm like okay
43:29 but like great like where's the
43:31 humanity? Like when are we going to
43:32 start talking about how this impacts
43:34 people? And then right around the time I
43:37 was feeling that, the woman that runs it
43:38 goes, well, you know, it's great. Now
43:40 we're going to get into something a
43:41 little more creative. We've got a
43:42 musician. Like, great. And so this this
43:45 guy gets up and he starts talking about
43:47 how he played cello as a kid. I'm like,
43:49 cool. Seemed a little geeky to me, but
43:51 you know, geeks can be musicians. And
43:54 and he starts talking about math and he
43:56 starts talking about algorithms and he
43:58 starts talking about a project that he
44:00 did. And it was very much like dry
44:04 algorithm kind of slides like one of
44:07 them I think involved a math formula.
44:11 [laughter]
44:14 You know he made a math joke or two
44:16 which some people chroled at. Uh I
44:20 wasn't one of them because uh not so
44:22 math.
44:24 [laughter]
44:25 And then he gets to the music thing he's
44:27 doing. I'm like okay great. Here we go.
44:29 this is going to be good. And
44:33 you know when I make fun of geeks, he
44:36 kind of talked like that. He was very um
44:38 very precise and he was talking about
44:40 his his algorithms. And he said, you
44:41 know, I thought it might be interesting
44:43 if you know, you had the the beginning
44:45 of a song and maybe at the end of a song
44:47 and then the algorithm could fill in the
44:48 middle. And he showed like a MIDI map of
44:51 notes where like the outsides were what
44:54 the person provided and the insides were
44:56 what the algorithm provided.
44:59 And that was it. He didn't play a song.
45:04 There was no music. There was no music.
45:07 It was just math. And and so the
45:10 afternoon continued on like that. And a
45:13 lot of the the panels on the next day
45:15 were the same people kind of talking
45:17 about the same things but in panel
45:18 format.
45:21 And and what I was struck by, like what
45:24 I what I I went to the evening party,
45:27 the little mixer thing with was
45:30 what we do here every night and what we
45:32 do at the AI salon is actually really
45:35 important.
45:37 And I I I don't think I quite understood
45:41 that
45:44 in in such relief um as as when I went
45:47 to to TED or you know the end of that
45:50 first night. Um
45:56 the the attitude
45:59 the the overall attitude of what they
46:02 presented was the algorithms will save
46:06 us. that if we get the algorithms right,
46:08 everything's going to be fine.
46:11 And there was there was nothing there
46:14 was one panel about future of work and
46:16 you know how to how to survive in a how
46:19 to you know how to keep working in in
46:21 this kind of new AI environment. But
46:24 like there was nothing like how people
46:25 are using it, how they're changing their
46:27 lives. Like the stuff we talk about
46:28 here, the remarkable things that you can
46:30 do, the 98.5% of people that are not
46:33 [ __ ] engineers.
46:35 Not that I don't I like listen, I love
46:37 engineers. All of this [ __ ] we do is
46:39 because of engineers, but in the end,
46:42 it's what you do with the technology.
46:45 That is the thing that makes the
46:46 difference. It's the thing that people
46:48 remember,
46:49 not the technology itself.
46:52 Right? Most people don't know what a
46:54 transformer is. What they know is that
46:56 they they saw that video at their
46:58 friend, you know, dancing in Central
47:00 Park, even though his friend was never
47:02 in Central Park, right?
47:05 So, so it's it's people using the
47:08 technology that ultimately makes the
47:09 difference. And so that that for me was
47:13 the the biggest takeaway was well, [ __ ]
47:17 [laughter]
47:19 this is important. This this work that
47:21 we do here is important.
47:24 Um, and by when I say work that we do
47:27 here, I don't mean just me doing this
47:29 show or Brandon producing this show.
47:32 What I mean is all of us showing up
47:36 like that you show up that you hang out
47:38 here on a regular basis that you missed
47:40 me for a week
47:42 is not about me. It's about us as a
47:45 community being in the practice of AI of
47:51 understanding what it is. being in the
47:53 practice. Just doing it. Being in the
47:55 practice. Being in the practice. And
47:56 that that I want to talk about too. Tik
47:58 Tok comment.
48:00 I'm lost with what to do um with what I
48:03 create. Real dilemma, Kyle. So So Corey
48:05 Sandler, I'm going to I'm going to talk
48:07 about that. I The [clears throat] past
48:10 week's been really good for me. Um
48:14 there's some [ __ ] in my life right now
48:16 is really not good. Other [ __ ] is going
48:18 pretty good. And then a lot of the stuff
48:20 we're doing with the salon I'm very very
48:22 excited about.
48:24 I think I have a an answer for you
48:27 Corey. And
48:31 [snorts]
48:32 I don't have the final answer.
48:34 [laughter]
48:35 I think I have I have an approach
48:41 that is going to become central to
48:44 everything I do.
48:46 So, I hope it addresses what you're
48:48 talking about [laughter] because if not,
48:51 this is going to be this is going to be
48:52 a big part of it. This is going to be
48:54 part of my book, the the 10-person team
48:56 book that I'm writing. This is going to
48:58 be a an a critical part of the AI Salon
49:01 online experience. We're creating AI
49:04 Salon in-person experiences. We're going
49:06 to start designing them in Denver,
49:07 possibly New York. Um, I've got some
49:11 exciting announcements coming about
49:12 that. It already is this thing that I'm
49:15 about to talk about part of this
49:17 channel. Like this channel already is
49:19 this, but I've never
49:23 I've never thought about it like this.
49:25 [clears throat]
49:26 And and this idea is not mine. This idea
49:28 comes from Liz Miller Gersfeld, who's
49:30 the new co-host of the salon.
49:33 So, we've been we've been talking about
49:34 a lot of things. We've been talking
49:35 about future of the salon, what it
49:36 needs, things like that. And and one of
49:39 the things that I've been talking about
49:40 is that I want I want to find
49:46 as many as as many people as I can who I
49:50 consider hi-fi AI,
49:53 right? So so kind of 70s7s
49:56 uh audio file terminology, but but who
50:00 is someone that's hi-fi AI? Well,
50:02 they're clearly doing good work, right?
50:04 So it's people that are doing good work.
50:07 Um, and and that's kind of where where I
50:09 had stopped. It like I was kind of like
50:12 um like a hi-fi AI person is kind of
50:15 like you'll know them when you see them.
50:17 And there's a lot of them in this
50:18 community already.
50:20 And what I want to do is I want to find
50:22 those people and I want to celebrate
50:23 them and I want to amplify them and I
50:26 want to hold them up as aspirational for
50:28 other people in the salon to go, "Oh
50:30 yeah, I should." Right?
50:32 And so I had said that to Liz and she
50:35 went away for a week and then we came
50:36 back, we had another meeting and and she
50:38 came back and she said, "I've been
50:40 thinking about this idea of of hi-fi AI
50:42 people and like what that means." And
50:44 she said, "I I kind of like the concept,
50:46 but I I don't quite get it." And she
50:49 said she said for me
50:53 someone starts to enter that category
50:57 you know part of it's about the work but
50:59 she goes they they start to enter that
51:01 category for me when they treat AI like
51:04 a practice
51:08 and the minute she said it like just
51:11 like that that helmet sort of forming
51:13 around my head like like it was like my
51:15 skull opened up and I just saw this
51:18 whole thing of like, holy [ __ ] that's
51:20 it. It's a practice.
51:22 And so what we're what we're in the
51:24 middle of designing right now is a
51:26 structured, a framework for what is the
51:29 AI salon mastermind practice. But to
51:32 your point, Corey Sandler,
51:35 um I'd say that I'd say that feels like
51:39 me, a practice, a daily practice. Yeah,
51:41 I'm going to come back in five years.
51:42 No, don't come back in five years. Start
51:44 today.
51:46 Um, you [clears throat] can come back in
51:48 five years, [laughter] but AI will have
51:50 happened to you and that's going to
51:51 suck. Um,
51:54 like I said, Corey, I think you'll like
51:56 it because I think you already do it
51:58 right. You do it with your cooking, you
52:00 do it with your guitar playing, you do
52:01 it with your pottery, you do it with
52:03 your AI work.
52:05 But as as as Liz was unpacking what she
52:08 meant by that, it's it's not just do it
52:12 daily. like do it daily is is is the the
52:17 frequency, the cadence, but what you do
52:20 daily and and where the commitment lies,
52:23 that's the thing that we're going to put
52:24 some structure around. And so, the more
52:26 I've been thinking about this, we've
52:28 already got the structure.
52:31 And so, let me show it to you.
52:42 It's this image.
52:46 It's the cycle of AI readiness.
52:50 Play first, create excellence,
52:54 generously lead.
53:00 And so I don't quite know what the
53:01 components are in it, but if you think
53:03 about it,
53:05 imagine if on a daily basis that you did
53:08 at least one of these things. Play is
53:11 what it sounds like. Play. Just go play
53:13 with tools. Like I just went and played
53:14 with Suno and made a song. I learned
53:17 something new there tonight. Um just
53:20 like another layer of of knowledge about
53:23 what I can do with that thing. Um
53:25 archetypal on YouTube. Yeah, I agree. I
53:27 have changed my life so much by just
53:29 having these daily Yeah. having these
53:32 daily lives and using that to set my
53:34 clock for all my writing and playing.
53:36 Exactly. That Yeah. Exactly. And and
53:39 that's like this channel is a practice,
53:42 right? I committed to showing up here.
53:44 All of you, unbeknownst to me, committed
53:47 to showing up here. We created this
53:49 amazing community. We just show up. That
53:51 is a practice. Now, the AI learning lab
53:54 has been a completely unstructured
53:56 practice, which is fine, right? Like I I
53:59 would say having a practice is a really
54:01 good way to learn. It's a really good
54:03 way to expand what you do. But without
54:05 structure, you kind of it's kind of hit
54:07 or miss whether you have something going
54:09 or not.
54:11 So then if you think about this, play
54:12 first is where you learn, right? It's
54:15 where you learn what's possible. It's
54:17 not where you learn how to use a tool,
54:20 right? That's learning. That might be
54:22 part of create excellence is get better
54:24 at a tool. Play is play. Play is
54:27 expansive. Play is without expectations.
54:31 Play is be in the practice of every day
54:36 play with something that is good at
54:38 something you're not good at.
54:43 What?
54:45 Imagine if every day
54:48 you took something, some limiting belief
54:50 in your head. I'm not very technical.
54:53 Perfect. Go do something really
54:55 technical with AI.
54:58 Like play like it doesn't matter. If if
55:01 you go play with AI with something
55:02 technical and you fail, great. You've
55:05 just confirmed that you're not very
55:06 technical, [laughter]
55:09 right? Doesn't matter. Just go play. Go
55:12 play with something that's not at at
55:13 your core expertise. Just play play
55:17 play.
55:18 And then create excellence starts to
55:20 look like imagine having a practice
55:23 where every day you you might start a
55:26 new project, but what you might also do
55:27 is say, "Hey, I want to take something
55:29 like my my musical Sydney and I want to
55:32 advance that. I want to I want to create
55:33 a work that that is not just something
55:36 that I'm willing to share." Because I
55:39 would argue if if you're in play mode,
55:42 you might create something cool and
55:43 you're like, "Oh, I'm going to share
55:44 that with the world." You might share
55:45 things from play. Here's things I want
55:47 to share. But in create excellence,
55:50 that's more about I want to work on a
55:52 project that when I get it done, I'm
55:55 excited to share it,
55:57 right? And it's going to take some
55:59 craft. And it might take a little bit of
56:01 my Photoshop skills and a little bit of
56:03 my writing skills and a little bit of my
56:04 editing skills. and I'm going to have to
56:06 maybe duct tape some things together,
56:09 but I'm going to get to the other side
56:10 of this thing and it's going to be
56:11 something I want to put in the world and
56:12 I'm really excited to do that.
56:16 [clears throat]
56:17 Um, great great news today. My AI film
56:19 collab with composer is 2025 official
56:23 selection for the premiere at the AMC
56:25 theater. Joy Party. So, so Joy Perty, I
56:29 want to talk about my New Mexico thing.
56:32 I I talked about you in New Mexico. I
56:35 think you were on in the official
56:37 record. Um I talked about this was so
56:41 funny because you know it it was a
56:43 testimony for the art and science
56:45 committee of the New Mexico legislature
56:49 and and I just I started getting excited
56:51 about people. I talked about Jim Ross
56:53 and I talked about um about Stacy Stacy
56:57 Leak with her um education for
56:59 neurodyivergent people. I talked about
57:01 Joy Pretty. I'm like, "This is a woman
57:03 who's a sleep technician for 30 years
57:06 and now she's making films and and like
57:08 the legislators like ah this is really
57:11 good." They were loving it. So that was
57:13 super cool. Um but but Joy Pertie's a
57:16 really good example of someone who went
57:18 and played and in playing discovered
57:21 that there were these tools that
57:24 unlocked
57:26 something she's wanted to do all of her
57:28 life.
57:30 And then in playing with them, she
57:32 realized if she wanted to create
57:34 something excellent, she wasn't there.
57:38 And she went and she taught herself Da
57:40 Vinci Resolve. And she taught herself
57:42 all these tools. And she taught herself
57:44 more about editing and shots and writing
57:46 and all of the things you need to be
57:48 able to be a good storyteller with
57:50 cinema.
57:53 And and over months, she got better and
57:56 better and better. And so now her film
57:58 was just accepted. She's now a
57:59 filmmaker, right? She's she's excited to
58:02 to to end her career as a sleep
58:05 technician of 30 years and start her
58:07 film making career, right? [ __ ] that's
58:11 powerful. So imagine that was part of
58:14 your daily practice and then generously
58:17 lead starts to look like
58:20 show up here and don't just lurk, but
58:23 when someone new comes in, help them
58:25 out. Like a lot of the one of the
58:26 reasons this community is so powerful is
58:28 when new people come in, whether they're
58:30 trolls or or scared or just newbies and
58:34 afraid everyone's going to make fun of
58:35 them, is that they reach out and connect
58:37 with them and say, "It's going to be
58:38 okay. Just hang out here. He'll
58:40 eventually make sense. Just keep coming
58:42 back." Or go into the AI salon and take
58:45 that thing that you created that you're
58:47 really excited to share and put it in
58:48 there and and send it to people
58:51 individually. play. Post it on LinkedIn.
58:53 Paste it on Facebook. Oh, when I paste
58:57 stuff on Facebook, people yell at me.
58:59 Let them yell at you. Go put your stuff
59:01 out there. Imagine as a daily practice,
59:04 you start to practice
59:07 establishing yourself as a leader.
59:10 You're like, I can't lead. I don't know
59:12 anything except as Anne Murphy puts it,
59:16 you're the fifth grader to everyone
59:18 else's fourth grader, right? Everyone's
59:21 trying to figure this out. So if you
59:23 figured a little bit out
59:26 and you put yourself out there and say,
59:27 "Hey, I figured this little piece out
59:29 and don't apologize for it. Just put it
59:31 out there
59:33 or or or have the guts to to ask someone
59:36 else a question." If you don't know
59:37 something, give them a chance to lead.
59:39 Part of generous leadership is is
59:42 creating space for other people to step
59:44 into that leadership role.
59:47 And so what we're going to design for
59:50 the AI mastermind for the for the paid
59:52 area of the AI salon is we're going to
59:55 design this framework. And the AI
59:57 mastermind is where you come to design
1:00:00 and execute and talk about your
1:00:03 practice.
1:00:06 And and this like I said this is going
1:00:08 to be in everything I do. This is this
1:00:10 is going to be in everything I do. The
1:00:11 more I think about this, the more I
1:00:13 understand
1:00:16 that we can't keep up with the tools
1:00:18 anymore.
1:00:20 AI is going to be ubiquitous. It's going
1:00:22 to be everywhere, right? It's going to
1:00:25 be in everything. Just like the internet
1:00:26 is everywhere. AI is going to be
1:00:28 everywhere. It's going to be in every
1:00:29 tool. It's going to be it's just going
1:00:31 to be everywhere, right? And so, and and
1:00:35 then for the next five years, probably
1:00:38 10 years, it's going to keep evolving,
1:00:40 right? We're we're in an exponential
1:00:42 acceleration of of technological
1:00:45 advancement. So we literally don't know
1:00:48 what is going to be possible 3 months
1:00:51 from now, 6 months from now, a year from
1:00:53 now. So the only way the only way to to
1:01:02 be a professional in this ever evolving
1:01:05 landscape is to just have it be like
1:01:08 breathing, right? Kelly Camp does this
1:01:10 every day. She like she must be known in
1:01:14 Dallas as Oh god, here comes that AI
1:01:16 lady. Oh no. Oh no. She's gonna say it
1:01:18 again. And Kelly walks up. Hey, have you
1:01:20 played with AI [laughter]
1:01:26 like a practice like she just does it.
1:01:29 She just shows up. She just shows up.
1:01:31 She just shows up and then people ask
1:01:34 her to come speak and then people there
1:01:36 ask her to come demonstrate and then
1:01:37 people there hire her.
1:01:40 She establishes herself as a leader in a
1:01:44 practice
1:01:46 of just being
1:01:49 being being being and expanding
1:01:51 expanding expanding and that's it for
1:01:54 me. And then to to your point, Corey,
1:01:56 about um
1:02:00 you're not sure what you want to do with
1:02:01 it. Like I don't know I don't know how
1:02:05 that you could I I don't
1:02:08 I think the point of the practice is to
1:02:11 I mean you know this as an artist,
1:02:13 right? The point of the practice is to
1:02:15 be in the conversation when inspiration
1:02:19 strikes,
1:02:20 right? Like that's art.
1:02:25 But if you like check out of art, if you
1:02:27 check out of throwing pots and right and
1:02:29 just being in the practice of it and you
1:02:32 haven't done it for six months and then
1:02:34 you have this little glimmer of an idea
1:02:36 of, oh, wouldn't it be cool if I'd made
1:02:38 a pot that had this with this kind of
1:02:39 glaze with that kind of he and if you're
1:02:42 out of practice, you're like, h, but
1:02:44 then I gotta I gotta get out the clay
1:02:46 and I got to grind it and I got that's
1:02:48 just I can't,
1:02:51 right? then that idea dies.
1:02:55 I think that's the idea here. Just be in
1:02:57 the practice. It literally doesn't
1:02:59 matter which of these things three
1:03:00 things you're leaning on. I think in the
1:03:03 in my fantasy version of this practice,
1:03:05 you do at least one of these things
1:03:07 every day, right? Imagine if every day
1:03:11 you learned something new play
1:03:14 you contributed to or or made something
1:03:16 you're excited to share or like you know
1:03:19 forwarded a bigger project along like
1:03:21 let's say you're putting together a
1:03:22 feature film you make some progress on
1:03:25 that and every day you you share what
1:03:28 you're learning you put yourself in the
1:03:29 world
1:03:31 so
1:03:32 uh Tik Tok pin so many people I know use
1:03:35 AI as a small tool at work right exactly
1:03:38 Professor Crystal, right?
1:03:41 Right now,
1:03:44 see, here's the thing.
1:03:47 Computers historically
1:03:51 have been tools
1:03:56 and they've been tools of efficiency.
1:03:59 You take your work, you put it into you
1:04:02 take your work where you used to write
1:04:03 down on legal pads numbers and add them
1:04:06 up with a calculator and then you put
1:04:08 those numbers into a spreadsheet which
1:04:11 is like that legal pad and the
1:04:12 calculator combined
1:04:15 and it adds the numbers for you. Right?
1:04:17 It took the work we did and made it more
1:04:18 efficient. And you can absolutely use AI
1:04:22 like that.
1:04:26 But that's not what it is.
1:04:28 It is a collaborative entity. It's it's
1:04:31 an one of the one of the one of the
1:04:33 panels on on day one of of TED AI. Um
1:04:37 there [clears throat] was a guy there
1:04:38 was talking about AI as kind of an alien
1:04:40 intelligence.
1:04:43 Um
1:04:45 I mean it is an entity. It's and it's an
1:04:47 entity that that we get to collaborate
1:04:50 with.
1:04:52 And computers have never done that.
1:04:54 Computers have never been
1:04:56 um
1:04:58 additive, right? They they've been they
1:05:01 they've been they they they've been
1:05:03 processors. They'll take our work and
1:05:05 they will process our work. Generative
1:05:07 AI, the generative part of generative AI
1:05:10 is it's generating
1:05:13 based on our input some new thing.
1:05:18 And so you can use AI in one of two
1:05:20 ways. You can use it like a tool, like a
1:05:22 vending machine. I put in a prompt, I
1:05:25 get out an email. Done. I use AI. I use
1:05:28 chat GPT every day. Do you? Or do you
1:05:32 just use glorified sentence completion?
1:05:36 Right? [laughter]
1:05:38 You know, it's glorified spellch check
1:05:42 if you use it like that. But if you say,
1:05:46 you know,
1:05:49 one of the things I've always hated at
1:05:50 this company is that our emails all
1:05:53 sound like they come out of some
1:05:55 corporate [ __ ] email book.
1:05:59 And and our company's got more
1:06:01 personality than that. I kind of have a
1:06:03 vision that our emails should be
1:06:06 something more captivating and more
1:06:08 interesting.
1:06:10 All of a sudden, in that moment, you you
1:06:13 flip AI from a tool that you use to do
1:06:16 what you've always done to a
1:06:19 collaborative partner
1:06:21 where you could explain to AI, here's
1:06:23 what we currently do, here's our current
1:06:25 email, here's our requirements because
1:06:28 we're in a regulated industry,
1:06:30 but one of the things we always talk
1:06:32 about is how human we are. And so, dear
1:06:35 Chat GBT, based on all that, could you
1:06:38 help me make an email that doesn't [ __ ]
1:06:40 up our compliance, but sounds more
1:06:43 human?
1:06:44 And all of a sudden, it is
1:06:46 [clears throat] a very different kind of
1:06:47 interaction.
1:06:50 It's not just about efficiency. It's
1:06:52 about invention. It's about taking an
1:06:54 idea and amplifying it
1:06:57 in collaboration with that human, right?
1:07:00 and their idea of we should be able to
1:07:03 do this a better way,
1:07:05 a different way is is really powerful.
1:07:09 [snorts] I spent this whole year almost
1:07:11 daily writing about 5 to 10,000 words
1:07:13 with AI assist. I've gotten pretty
1:07:15 damned good at collaborating in the
1:07:18 directions um I intend writing and
1:07:21 proving constantly.
1:07:23 Yeah. the like the the the the fantasy
1:07:26 of the doomers
1:07:28 is that if AI writes for you, you're
1:07:30 going to get less creative. You're going
1:07:32 to be a worse writer.
1:07:35 What they're missing
1:07:39 is that the people that are doing like
1:07:42 what archetypal just talked about are
1:07:45 not treating it like a vending machine.
1:07:48 They're treating it like, "Hey, I want
1:07:49 to get better at my writing, so I'm
1:07:51 gonna use this awesome writing tool,
1:07:54 right? Where I get to steer it, and it
1:07:58 takes my ideas and it amplifies them.
1:08:02 It's it's it's such a fundamentally
1:08:04 different thing like like to your point,
1:08:08 what I find
1:08:10 is when I truly engage with AI in this
1:08:13 kind of
1:08:15 um collaborative
1:08:18 generous kind of way where it's like I'm
1:08:22 going to take what it gives me and I'm
1:08:23 going to look at it critically
1:08:26 and I'm going to say, "Oh, some of these
1:08:27 ideas are good. I'm going to add those
1:08:29 into my idea set. Some of them are bad.
1:08:30 I'm going to throw them away. Then I'm
1:08:32 going to take this new little
1:08:34 gobbledygook and put that back in."
1:08:37 That's [clears throat] a completely
1:08:38 different way of working.
1:08:40 And so the practice
1:08:44 is about
1:08:47 doing that like it's
1:08:50 survival,
1:08:53 like it's,
1:08:54 you know, you want to get yourself.
1:08:58 You want to get yourself to the next
1:08:59 level spiritually, you meditate, you
1:09:02 pray, you do whatever you do. You want
1:09:04 to get yourself to the next layer
1:09:06 financially, you set a goal, you take
1:09:08 action, you go to it. You want to get
1:09:10 really good at AI. You want to get
1:09:11 really good at understanding what it is,
1:09:13 what it makes possible, how it amplifies
1:09:15 you,
1:09:17 there's not a book you can read. There
1:09:18 will not be a book you can read. I'm
1:09:20 writing a book. My book will give you
1:09:23 teeny teeny piece of it. I think at this
1:09:26 point though, I'm going to have
1:09:26 something in there about AI as a
1:09:28 practice. Probably going to be the last
1:09:29 chapter.
1:09:34 The only way you can do it is to do it
1:09:36 for yourself, right?
1:09:39 You can read a book on meditation,
1:09:42 but it's not until you internalize what
1:09:44 that's actually
1:09:47 where the value is for you that you know
1:09:49 how to even meditate. It's the same with
1:09:52 AI. If you don't know what to do, if you
1:09:54 don't know how to do it, if you don't if
1:09:56 you're don't even know where to begin,
1:09:59 just play.
1:10:02 And then when you're playing, you'll
1:10:03 have an idea. Then go create.
1:10:06 And as you're learning and creating,
1:10:08 tell people about it. Put yourself in
1:10:10 the world. Establish yourself as a
1:10:12 thoughtful, creative, inventive,
1:10:15 professional human being.
1:10:18 Like a practice every day. Every day.
1:10:22 Every day. You guys show up here every
1:10:24 day. Except last week. Nobody [ __ ]
1:10:27 showed up.
1:10:29 That's not on me. [laughter]
1:10:34 Pete M's in the house.
1:10:37 Pete M shows up here day after day after
1:10:40 day.
1:10:44 He doesn't have to do that.
1:10:48 There's something about this community.
1:10:49 There's something about showing up in
1:10:51 this regular way
1:10:54 that will serve you.
1:10:57 Um,
1:11:00 so anyway, so that was Ted. That was my
1:11:02 That was like my big takeaway there was
1:11:04 it just it reinforced the power of
1:11:16 exploring how to use these remarkable
1:11:19 technologies, right? Let's let them
1:11:22 develop the technologies. It's up to us
1:11:24 to figure out how to use them. Sam Alman
1:11:27 talks about that all the time.
1:11:29 Um I have another insight that I that
1:11:32 I'll share.
1:11:34 So in the mid 90s when I was doing the
1:11:36 web stuff um
1:11:42 there was a similar thing happening in
1:11:44 San Francisco
1:11:46 is that is happening now where where it
1:11:47 was very techheavy. So, so in the early
1:11:50 days of the web, um, the West Coast was
1:11:54 very much about building the technology,
1:11:56 right? It was building browsers. It was
1:11:58 building the next spec of HTML. It was
1:12:01 building macromedia flash and building
1:12:04 building all of the technology.
1:12:07 I was not part of that world. I was part
1:12:09 of the world in New York City where the
1:12:12 the web community, the tech community in
1:12:14 New York was a really small concentrated
1:12:16 group, but it was a very noisy group. Um
1:12:22 there were a lot of really interesting
1:12:24 companies that that were sort of
1:12:25 emerging out of New York. And the
1:12:27 difference was New York wasn't where the
1:12:30 technology was being invented, but New
1:12:32 York was where the media was, where the
1:12:35 content was, the publishers and the
1:12:38 advertising agencies, right, and the
1:12:40 [laughter] the writers, right, for the,
1:12:44 you know, for the for the New York
1:12:45 press. Um, and so we were we were very
1:12:51 much innovating, but it was more like we
1:12:53 were innovating storytelling and how to
1:12:55 connect with people where the West Coast
1:12:57 was innovating with how you deliver the
1:13:00 things faster and more efficiently over
1:13:02 these shitty dialup modems that we had.
1:13:04 There was this counterveilling force in
1:13:07 New York that that was everybody. It was
1:13:10 it was almost like a competition. They
1:13:12 were like, "Well, it's more about the
1:13:13 technology." We were like, "No, it's
1:13:14 more about the content." It was this
1:13:15 back and forth thing
1:13:17 that voice is missing right now in in
1:13:21 AI. It's it's all about the algorithms
1:13:24 like the the there's something about
1:13:27 when you invest you know a hundred
1:13:29 billion dollars into a single company um
1:13:32 that's going to get a lot of attention.
1:13:33 So all the attention right now is being
1:13:35 focused on the scientists and the
1:13:37 engineers and and the the algorithms
1:13:41 and there's not as much being focused on
1:13:44 the other 98.5% of people doing
1:13:47 something with this technology right and
1:13:50 part of that might be because there's
1:13:51 not a center of gravity and I think we
1:13:53 have an opportunity if we do it right to
1:13:55 do that but we kind of have to declare
1:13:57 it and claim it. So um so there's that.
1:14:00 So anyways, that was that was Ted.
1:14:05 [sighs and gasps]
1:14:09 Hey, Paint M. I haven't seen you in a
1:14:11 while. I got to tell you, um, for as
1:14:14 much [ __ ] as I gave Google for for a
1:14:17 year and a half or two years, um, for
1:14:20 just having their heads up their butts
1:14:22 when it came to this AI stuff after
1:14:24 having invented it. Um, holy [ __ ] Have
1:14:28 [clears throat] has Google gotten it
1:14:30 together? Like the the the work coming
1:14:32 out of Google and like the the revamp of
1:14:36 um of AI Studio, the the developer
1:14:40 portal for Google as a more kind of
1:14:43 consumerfriendly
1:14:45 um
1:14:47 portal is um I I find it really
1:14:50 impressive, really impressive and really
1:14:53 good. Um,
1:14:56 it I'll tell you what it says to me.
1:14:58 What it says to me is Google is acutely
1:15:00 aware that the next 100 million
1:15:04 developers
1:15:05 are not going to come from computer
1:15:07 science schools.
1:15:11 They're going to be other people.
1:15:13 They're going to be a net 100 million
1:15:15 developers. And I feel like Google right
1:15:18 now is recognizing that they kind of
1:15:20 have, you know, these these distinct
1:15:23 audiences. And it used to just be if
1:15:24 you're not an engineer, go [ __ ]
1:15:26 yourself, right? There's there's search
1:15:27 and then there's stuff for engineers.
1:15:29 And there was kind of nothing in the
1:15:31 middle.
1:15:32 And now you've you've still got search
1:15:34 and you've got the stuff for engineers.
1:15:36 Like you'll always have that. That's
1:15:37 your legacy. But you you now have these
1:15:39 kind of two things where you've got AI
1:15:43 studio
1:15:44 um and then you've got you know
1:15:46 Gemini.goole and you've got labs but I
1:15:48 think labs is a bit off in the distance
1:15:50 but like those two things as primary
1:15:52 interfaces
1:15:54 are for this kind of middle ground where
1:15:56 you've got techsavvy people using vibe
1:15:59 coding and and using vibe coding as an
1:16:01 on-ramp to become developers. That's the
1:16:03 next 100 million developers. So anyway
1:16:06 um I haven't seen you in a while. It was
1:16:08 just a matter of time. Not as simp not
1:16:09 as simple as a startup, but we aren't
1:16:11 dumb. Yeah, exactly. No, it's it's
1:16:13 really good. Well, I mean, listen, you
1:16:15 can you can be smart and [ __ ] miss
1:16:18 the boat, Apple, right? I mean, I mean,
1:16:22 Apple's got to be full of some of the
1:16:23 smartest people on the planet.
1:16:26 And for whatever reason, you know, they
1:16:29 they have just missed the boat and like
1:16:31 continue to miss it. They're just like
1:16:32 they're out on a [ __ ] I I don't even
1:16:34 know what's going on. Um, but Google
1:16:37 Google has turned it, so it's pretty
1:16:38 impressive. Oh, and then the quantum
1:16:40 computing thing and then skills.g
1:16:41 Google. Yeah, there's there's a bunch of
1:16:42 stuff going on at Google right now.
1:16:44 That's like pretty [ __ ] pretty
1:16:46 [ __ ] powerful. All right, English
1:16:48 degrees rule now. Absolutely agree with
1:16:50 that. Um, it's funny. People ask me, you
1:16:53 know, what should my kids study in
1:16:55 school? And my answer is is not a
1:16:58 joking. I a thing to have them study is
1:17:01 philosophy.
1:17:03 >> [laughter]
1:17:04 >> Why is that? It's a large language
1:17:07 model. Understand how language works. Um
1:17:10 that's the that's the gateway. Did you
1:17:12 see that anthropic deal using a million
1:17:15 TPUs or so? I did not. Oh, that's very
1:17:17 cool. Very very cool.
1:17:25 Um,
1:17:27 producer Brandon reminded me that when I
1:17:29 just said that that quantum computing
1:17:31 thing, I said it like assuming people
1:17:34 would know what the [ __ ] I'm talking
1:17:36 about. It's a good point. Um
1:17:39 [clears throat]
1:17:40 so [snorts]
1:17:42 I don't know a year year or ago um
1:17:46 Google sort of breaks the records with
1:17:48 the number of cubits in a quantum
1:17:52 computer and then 6 months or so ago
1:17:54 they come out with this willow chip that
1:17:56 has basically solved correction or or
1:17:59 errors in quantum computing or I don't
1:18:01 know if it solved it but it dramatically
1:18:03 improved error handling or error
1:18:07 um errors. There are less of them now.
1:18:10 Um and then this past week while while I
1:18:12 was out at at TED
1:18:15 um and Pate, catch me up on this. So So
1:18:18 you were one of the one Wait, yeah,
1:18:20 they're getting more and more big TPU
1:18:22 customers, which is basically his whole
1:18:24 job. Yeah. So Pate Mo's job is to make
1:18:28 the TPUs more and more efficient for I I
1:18:32 I think for both training and inference,
1:18:34 right? It's for both. Um, and uh, so
1:18:37 that's really good because I it like
1:18:39 like
1:18:41 the world needs more than just Nvidia.
1:18:43 [laughter] So I'm glad that Apple's
1:18:45 doing their chips now. I'm glad that
1:18:47 TPUs are being recognized. [snorts] Um,
1:18:50 anyway, the the quantum computing thing.
1:18:52 So So what Google cracked this week,
1:18:56 so when Google first started talking
1:18:58 about quantum stuff, I was like, "Oh,
1:19:00 this is great. This is going to be
1:19:02 really good for AI." And Pate was the
1:19:04 one that pointed out to me, uh, Kyle,
1:19:06 yeah, it's a math thing. Um, the math
1:19:09 that they do on quantum computers is not
1:19:11 the same math that they do for AI, and
1:19:14 they're different worlds. I was like,
1:19:16 oh, right. Okay. So, I educated myself a
1:19:20 little bit about that. What they cracked
1:19:22 this past week is is I don't I don't
1:19:24 know if it's a kind of emulator or some
1:19:26 sort of math bridge, but they basically
1:19:28 got a quantum computer to do the kind of
1:19:30 math that can be used for AI and and it
1:19:33 did something, you know, in whatever 20
1:19:36 minutes that would have taken 13,000
1:19:38 hours with supercomputers or some [ __ ]
1:19:41 like that. Um, so, so the the
1:19:44 advancements in quantum now appear to
1:19:48 have a bridge to to the world of of
1:19:51 stuff that we know. It's not just going
1:19:52 to be relegated to, you know, high-end
1:19:54 physics, astrophysics, and things like
1:19:56 that. Um, it's still going to be used
1:19:59 for that, but but I think it opens it up
1:20:02 to a whole new kind of world. So, I
1:20:03 don't know if you know anything about
1:20:04 that, Pete. But [snorts]
1:20:08 TPUs are are both for training and
1:20:10 inference, but you're doing an emphasis
1:20:11 on inference, which is good. I think
1:20:13 that's smart. Why philosophy on deck?
1:20:16 Why philosophy?
1:20:18 Oh, why philosophy as as something to
1:20:20 study? Um,
1:20:23 hang on a sec. I got a I got kind of a a
1:20:25 cold on uh Thursday and I'm it's still
1:20:28 there, so it's drying me out.
1:20:33 Um,
1:20:35 [snorts]
1:20:40 understanding
1:20:42 understanding
1:20:44 [cough and clears throat] arguments and
1:20:45 language and framing and different
1:20:50 worldviews.
1:20:52 When you when you have a a large
1:20:54 language model that's been trained on
1:20:56 kind of all of the disciplines,
1:21:00 the more exposure to you have to how
1:21:03 people think and how they interact and
1:21:04 how they frame up arguments and how they
1:21:07 how they think about the world
1:21:10 um is going to serve you as you start to
1:21:13 learn prompting. Right? So, one of the
1:21:15 one of the things as as you start to
1:21:17 play with AI and practice it, one of the
1:21:19 things I notice is that
1:21:23 I've got a fairly lazy
1:21:28 I have a decent vocabulary and I have a
1:21:31 passion for words and writing,
1:21:34 but I have a fairly myopic training.
1:21:37 Like, I have a fairly limited training.
1:21:40 you know, it tends to be around theater
1:21:42 and storytelling and things like that,
1:21:44 but it's not like
1:21:46 I understand all of the different kinds
1:21:49 of storytelling there there are. And I
1:21:51 don't, you know, I don't understand, you
1:21:54 know, approaching the world from a
1:21:55 financial lens or from a humanitarian
1:21:58 lens or from a socialist lens. All the
1:22:00 different lenses, all the different ways
1:22:02 of looking at the world
1:22:05 expand
1:22:06 how you can think about the prompts that
1:22:09 you put in. Like the quality of the
1:22:11 answers you get out of AI are a direct
1:22:14 result of the quality of the questions
1:22:15 that you ask. That's philosophy, right?
1:22:20 Ask better questions, get better
1:22:22 answers, right? And so philosophy is is
1:22:25 the art of asking questions, right? It's
1:22:27 the art of inquiry.
1:22:30 um and and doing that in an you know in
1:22:32 an educated in a rounded way. And so um
1:22:36 because I think a lot of the the the
1:22:39 technical stuff um
1:22:43 you're not going to have to learn. You
1:22:45 may choose to learn it, right? There
1:22:48 there are places that having that
1:22:49 technical underpinning are going to be
1:22:51 incredibly powerful, but you're not
1:22:53 going to have to. That's going to be a
1:22:54 choice, right?
1:22:56 Just like when when film came out, we
1:22:59 didn't need plays anymore. We didn't
1:23:01 need the theater anymore. You can choose
1:23:03 to make a play, but you don't have to.
1:23:06 We got films now. We got TV. We got
1:23:08 YouTube. We got Tik Tok lives. You
1:23:11 [laughter] know, you don't need the
1:23:12 theater.
1:23:14 But, you know, boneheads like me say,
1:23:17 "You know what' be good right here? A
1:23:18 musical. Let's do a musical.
1:23:22 [laughter]
1:23:26 Oh man.
1:23:29 [clears throat and cough]
1:23:30 All right.
1:23:33 Decent vocabulary. Kyle the humble bee.
1:23:36 I Well, I I mean I know I got some good
1:23:41 words. [laughter]
1:23:43 I remember
1:23:45 I remember I was standing in line in
1:23:48 high school once and one of the jocks
1:23:51 was behind me and he was holding the
1:23:54 basketball and I I said something like
1:23:57 can you put your hand around the
1:23:58 circumference of the ball [laughter]
1:24:02 and he goes, "You mean can I can I palm
1:24:05 it?" [laughter]
1:24:08 Like he was like, "Why would you use
1:24:10 that word?" And it was like it's just
1:24:12 one of those moments where I realized,
1:24:13 oh yeah, I guess I guess I guess I guess
1:24:17 I'm using I gota I got to learn my
1:24:20 audience a bit better. [laughter]
1:24:25 Oh man. Um Okay. Um, so, so then I went
1:24:31 to on Friday I got invited to speak
1:24:37 at the New Mexico um, Science and
1:24:40 Technology Committee for the New Mexico
1:24:42 Legislature. So, there were senators and
1:24:44 and Congress people on this committee.
1:24:47 [snorts] Um, it was a it was just a a
1:24:51 small venue. It was in Los Cusus, New
1:24:53 Mexico, which is just outside of El
1:24:56 Paso, Texas. It's right on the border in
1:24:58 the south of New Mexico, very rural,
1:25:01 very um
1:25:03 not the bastion of of of
1:25:07 AI.
1:25:09 And so I was a little bit nervous about
1:25:11 that. And then so we got there and
1:25:15 the first group that pres we presented
1:25:17 at 10:00. There was another group that
1:25:18 presented at 9:00. And then there were
1:25:20 two days previous of this. There were
1:25:22 two days of
1:25:25 testimony. And so this was this this
1:25:28 committee's third day of listening to
1:25:30 testimony, which is absolutely
1:25:31 remarkable that because they actually
1:25:34 paid attention. Like I've been in some
1:25:36 of those rooms before and they're just
1:25:37 like all checking their email and eating
1:25:39 sandwiches and talking to each other.
1:25:41 They're actually listening and paying
1:25:42 attention.
1:25:44 The first group that went,
1:25:46 [clears throat] it was like an hour
1:25:47 long.
1:25:50 Like like
1:25:51 if you wanted to just say, "Here's all
1:25:54 the evil [ __ ] that AI can do. Let's go
1:25:58 find an article that was written about
1:26:00 every one of them and we'll screenshot
1:26:02 it and then we'll talk for for two
1:26:05 minutes on each one of those." It was
1:26:07 just like, you know, it's not secure and
1:26:10 it's it and it it's not fair and it
1:26:14 helps people do bad things to
1:26:16 themselves. And it was just like an hour
1:26:18 of like, you've got to write laws.
1:26:20 You've got to write laws. You've got to
1:26:21 write laws, you know, because it it's
1:26:23 bad and it's evil and it's bad and it's
1:26:24 evil. And the legislators are all going
1:26:27 like, "Yeah, we we legislation. We got
1:26:29 bills for that. Ah, it's good. Yeah.
1:26:31 Yeah. We got to protect the people. Got
1:26:32 to protect the people."
1:26:35 [laughter]
1:26:36 And I'm sitting there thinking like, I'm
1:26:38 not going to say that at all. [laughter]
1:26:41 [gasps] Uh then our group got up and we
1:26:43 had one one of our guys was a lawyer. um
1:26:47 who sort of knows the law of this stuff
1:26:49 and he talked a lot about, you know,
1:26:51 here's what's going on with the law. The
1:26:52 next guy beside me was a was a policy
1:26:55 wonk, policy geek, um and and said,
1:26:59 "Here's all the different pieces of
1:27:00 legislation and and you know why you
1:27:02 should pay attention to them and here's
1:27:04 the stance we think you should take."
1:27:06 Um, and then it came to me [laughter]
1:27:11 and I and I said I said, you know, a
1:27:15 long time ago I was in a position to
1:27:19 um to experience the power of a
1:27:23 transformative technology. And I told
1:27:25 this story about publishing um my my
1:27:28 online magazine, Urban Desires, in 1994.
1:27:31 And so I started out and I said
1:27:34 and and I realized it was the same date
1:27:37 in 1994, November 30th, 1994. So I
1:27:41 started the thing out. I said on
1:27:43 November 30th in 1994,
1:27:47 I took some HTML files that I had
1:27:49 created in my apartment in Brooklyn,
1:27:51 Brooklyn, and I uploaded them to this
1:27:53 computer in California. And that
1:27:55 actually got chuckles for some reason. I
1:27:57 don't know why it did, but it did.
1:28:00 And I said, 'What was in those HTML
1:28:02 files was the first issue of Urban
1:28:05 Desires, which was one of the earliest
1:28:06 online magazines. It was an art and
1:28:08 culture magazine. And I said, three
1:28:10 weeks after I upload these files to this
1:28:12 computer in California, I get an email
1:28:14 from a friend that says Urban Desires
1:28:16 has been written about in Paris in
1:28:19 Liberat, the Parisian News Daily. And I
1:28:22 knew in that moment that the world had
1:28:24 changed, that communication was instant,
1:28:26 and that right. And I was getting all
1:28:28 these nods from from the committee.
1:28:30 They're like, "Oh, oh, yeah, yeah,
1:28:31 that's good."
1:28:34 And I said I said, you know, that was
1:28:36 the same time I co I co-founded
1:28:38 agency.com and, you know, built a lot of
1:28:40 the websites for the for British Airways
1:28:42 and Coca-Cola and Nike and things like
1:28:44 that.
1:28:46 And I said, and I say this not to boast,
1:28:49 but but to establish that I'm intimately
1:28:52 aware of the opportunity
1:28:55 that new technologies can provide to to
1:28:58 individual people and entrepreneurs. And
1:29:01 I was getting a lot of nods and I said,
1:29:03 "And I'm also intimately aware of how
1:29:05 fragile that opportunity is." And that
1:29:09 kind of settled them down. They're like,
1:29:11 "Oh."
1:29:12 And then I and then I talked about flash
1:29:15 forward to November 30th, 2022 and
1:29:18 chatgpt comes out and I realized, you
1:29:20 know, chat GPT does for AI and machine
1:29:24 learning what the worldwide web did for
1:29:25 the internet. It makes it accessible. It
1:29:27 democratizes it. I was getting nods
1:29:29 again. Um and um and then I talked about
1:29:34 starting the AI salon. I said the first
1:29:36 thing I did the first thing I did was I
1:29:38 started this thing called the AI salon.
1:29:40 and I talked about what it is and how we
1:29:42 stand on policy and say we're not anti-
1:29:45 AI policy. We we want policy, but we
1:29:47 want you to be educated. One of the one
1:29:49 of the amazing things about this hearing
1:29:52 was that they were having the hearing
1:29:55 before they had legislation on the
1:29:57 docket. They didn't this was not A lot
1:30:00 of times what happens in politics is the
1:30:02 lobbyists get in there and they say, "Go
1:30:04 write these laws." the the politicians
1:30:07 write those laws or have the lobbyists
1:30:09 write them and then they hold these
1:30:12 hearings that are [ __ ] that are just
1:30:14 like come tell us what you think and
1:30:15 then we're going to pass what we're
1:30:16 going to pass anyway. This wasn't that.
1:30:19 This was actually this committee wanting
1:30:21 to be educated
1:30:24 which was really cool. So I acknowledged
1:30:25 them for that. I said this is like you
1:30:27 know that we have the opportunity to do
1:30:29 this with no you know actual legislation
1:30:31 that is you know that this is related to
1:30:34 is is is really powerful. So thank you
1:30:37 for that. And then I talked about some
1:30:40 people in the salon. I talked about Joy
1:30:41 Perie and I talked about Stacy and I
1:30:44 talked about Jim Ross and I think I
1:30:45 talked about one other and I was just
1:30:48 talking about I get to witness every day
1:30:51 people transforming their lives, people
1:30:53 coming out of retirement.
1:30:55 people excited to retire so they can
1:30:58 start their next career. And as I'm
1:31:01 saying this, like they're taking notes
1:31:02 and they're they were super excited and
1:31:05 and uh and then I talked about the
1:31:07 Colorado bill and why it was such a
1:31:09 train wreck. Um and it's been talked
1:31:12 about a lot, so I didn't I didn't, you
1:31:14 know, break any new ground there, but
1:31:16 but I did tell the story of the last the
1:31:18 the first time I went to Washington DC
1:31:19 for a flyin. I [snorts] was talking
1:31:22 about the Colorado bill with this woman
1:31:24 on [clears throat] the plane and she was
1:31:26 going to Washington to do some lobbying
1:31:28 or whatever the hell she was doing.
1:31:30 We were talking about the bill and I
1:31:32 said, "Oh, by the way, like you know
1:31:34 [clears throat] what are you guys doing
1:31:35 with AI?" And she said, "Oh, I've canled
1:31:38 all of our AI initiatives."
1:31:41 I'm like, "Why?" And she goes, "Well,
1:31:42 because of that bill." because when that
1:31:44 goes into effect, if that bill is law as
1:31:48 it's written, it'll put me out of
1:31:50 business. And so, she just stopped her
1:31:52 her AI initiatives. And that like that
1:31:55 put a chill in the room. Like people
1:31:56 were like their eyes were wide. They
1:31:58 were like
1:32:00 taking notes. Um and then, you know, and
1:32:02 then I basically just said, you know,
1:32:04 have small businesses at the table,
1:32:06 like, you know, invite small businesses
1:32:07 to at the table and and uh and and play.
1:32:12 I I this the the the this graphic
1:32:20 that graphic um was was a big part of my
1:32:23 deck. I talked about the AI salon. I
1:32:25 said I said we've got this this mission
1:32:28 at the AI salon. We we practice the
1:32:31 cycle of AI readiness. And I talked
1:32:32 about playing first. I said what that
1:32:34 looks like is play. Go play. Just play
1:32:37 play. Um
1:32:39 and [snorts] um and by the end
1:32:43 [laughter] they were like, "We got to go
1:32:45 play." Um they were super enthused
1:32:48 because I think I think what they've
1:32:50 been hearing is AI's evil. AI's going to
1:32:54 kill us. Protect us from the evil AI.
1:32:57 And so when I got in there and said, I'm
1:32:59 I'm experiencing people's lives being
1:33:02 changed. Like when you're legislating,
1:33:05 don't just legislate from a place of
1:33:07 fear. And then one of them said, "We
1:33:09 should also legislate from a place of
1:33:11 hope." And I said, "Yes, exactly." You
1:33:14 know, protect our access to these tools
1:33:16 for the opportunity as much as you are
1:33:19 protecting us from the risk of it. I
1:33:21 don't mind you protecting us from the
1:33:22 risk, but be educated. Don't just paint
1:33:25 with a broad brush stroke and not
1:33:27 understand what the hell you're doing.
1:33:28 Really understand this other side of it
1:33:30 and then and legislate and balance. So
1:33:32 that was it. And it was I got we got
1:33:34 really good feedback um for that
1:33:36 message. Um and uh [clears throat] if it
1:33:40 felt good like it felt like
1:33:44 during the course of my talk the tone in
1:33:47 the room actually shifted and that that
1:33:50 feels that feels really good feels
1:33:52 really powerful. So anyway all right
1:34:08 Ah crap. Sorry to hear that, Joker.
1:34:13 [clears throat]
1:34:17 That sucks, my friend. I know you'll
1:34:19 research the [ __ ] out of it.
1:34:24 So awesome, Kyle. Carry that baton.
1:34:26 Yeah, man. Like like again you know it's
1:34:28 it's so funny how these things
1:34:31 come together like
1:34:34 like I was fully expecting to come out
1:34:37 of TED AI
1:34:40 inspired by
1:34:44 the stuff people were doing
1:34:47 and I came out inspired that what we're
1:34:50 doing is really important. Right? It was
1:34:54 a counterintuitive inspiration.
1:34:57 And then had [clears throat] I not had
1:34:59 that experience, I would have put a very
1:35:02 different emphasis on what I talked
1:35:04 about in the New Mexico thing.
1:35:07 Um, but it gave me a kind of courage
1:35:12 in a in a very formal setting to not
1:35:17 present like formal policy
1:35:20 ideas and [ __ ] I'm not a policy
1:35:23 guy. I'm not a politics guy. I hate it.
1:35:26 I'm really cynical about it,
1:35:29 but I know that it I know that it can
1:35:31 make a difference and I know that it's
1:35:32 important. And so,
1:35:36 yeah. So, so that and then and then all
1:35:38 of that just you know realizing that
1:35:42 that this idea of of we're shifting
1:35:46 from learning the tools of AI to just
1:35:52 recognizing that it's going to be
1:35:54 everywhere and just have it be part of
1:35:56 our daily practice. That to me feels
1:35:59 like something we can talk about for the
1:36:02 next decade and not exhaust it.
1:36:06 Joker. Hey, I quit smoking. Good for
1:36:08 you, buddy. [laughter]
1:36:15 [laughter]
1:36:17 Oh [snorts] my god, that's hilarious. I
1:36:19 mean, it's not hilarious. I'm glad you
1:36:21 quit smoking. [laughter]
1:36:23 Oh man. Okay, let's see. Um, some other
1:36:26 things. If you don't know, um, OpenAI
1:36:29 launched a new browser called Atlas. If
1:36:31 you're on a Mac, you can go play with
1:36:32 it. I downloaded it. I launched it and
1:36:35 like I've done with every other AI
1:36:37 browser, I stare at it and I get
1:36:40 overwhelmed with what could I ask an
1:36:42 autonomous agent to do and my head
1:36:45 starts to hurt and I break into a flop
1:36:47 sweat because of how uninspired I am and
1:36:50 then I close the browser. [laughter]
1:36:57 >> [laughter]
1:36:58 >> um Sora 2 and um uh is coming to Android
1:37:04 soon. Um another thing that happened in
1:37:07 in OpenAI is they improved the memory.
1:37:10 So it won't you won't get those memory
1:37:12 full messages anymore. It's dynamically
1:37:14 culling your memory based on what you
1:37:17 do.
1:37:18 Um, one of the other things that that
1:37:20 happened with OpenAI, they did another
1:37:22 post about it today,
1:37:25 but two weeks ago,
1:37:27 um,
1:37:29 what got the headlines was, you're going
1:37:32 to be able to do adult content with Chat
1:37:34 GPT soon. You're going to be able to
1:37:36 choose, do you want it to treat you like
1:37:38 an adult or like a kid? Um, what was
1:37:42 buried underneath that headline was why
1:37:45 they're confident to do that.
1:37:48 which is they added a new model for for
1:37:52 mental health safety
1:37:54 that if a convers conversation starts
1:37:57 going in a direction of being dangerous,
1:37:59 you know, to the person talking or
1:38:01 others, it it takes it to a specialized
1:38:04 model um to deal with that. And then and
1:38:08 so because of that, they're going to
1:38:10 open up they're going to open up this
1:38:11 lens to be a bit more. And then they
1:38:13 talked about something today like I
1:38:14 think they've improved that model or
1:38:16 they've done something with that model.
1:38:17 But but that's actually kind of exciting
1:38:20 to me because one of the challenges was
1:38:22 like people don't want all these guard
1:38:24 rails on their AI, but at the same time
1:38:26 if people are getting hurt that's bad.
1:38:28 And so the fact that they're starting to
1:38:29 get some nuance and understand
1:38:32 um hey something is going south here.
1:38:35 Let's have a model that just deals with
1:38:37 that pretty pretty smart.
1:38:39 Um,
1:38:44 wow.
1:38:46 I didn't I didn't know that. Um,
1:38:49 producer Brandon just said a million
1:38:51 people a week on chat GBT talk about uh
1:38:55 unaliving themselves, that's a lot,
1:38:58 right? And so if they've got something
1:38:59 that can handle that, um, or I don't
1:39:02 even know if it handles it, but it I
1:39:03 think it just takes the acute situation
1:39:07 has a different set of rules for it,
1:39:08 which probably involve like get your ass
1:39:10 to an emergency room or or whatever it
1:39:12 might be. Um, but that's pretty good.
1:39:15 Um, what else is going on? Um, Microsoft
1:39:19 has completely rebooted um, C-Pilot.
1:39:22 Apparently, they're claiming it doesn't
1:39:23 suck now. I haven't used it because it
1:39:26 sucked.
1:39:27 >> [laughter]
1:39:29 >> and it was really hard to get to and it
1:39:31 was really bad. And then they added this
1:39:33 new thing that's like a little character
1:39:35 called Mo ICO.
1:39:38 Um, and if you keep tapping on Mo, he
1:39:41 will turn into Clippy.
1:39:43 So, you can get you can get an AI
1:39:45 powered Clippy now if you so if you so
1:39:49 want if you're nostalgic for the Clippy.
1:39:52 [snorts and clears throat]
1:39:55 Yeah, exactly. Yeah. Yeah, chat GPT
1:39:57 sends you to a different model. Yep. If
1:39:58 you sound like you're you're having a a
1:40:00 crisis. Yep. Absolutely.
1:40:03 Um and then the the other thing that um
1:40:06 I I called it here first is uh Lovable
1:40:10 um added Shopify. So you can now add um
1:40:14 ecommerce elements to your Lovable sites
1:40:17 that you build. Um that that wasn't
1:40:19 there before and they've added it. So So
1:40:22 there you have it. All right, that's it.
1:40:24 What time is it? It is time.
1:40:28 Yeah. Look at that. It's like I've done
1:40:32 this before. [laughter]
1:40:36 Oh man.
1:40:43 Yeah.
1:40:48 Beautiful, beautiful, beautiful. Um,
1:40:50 thank you everybody for the really kind
1:40:52 words. Um, I missed you all too.
1:40:55 Um,
1:40:59 yeah. This is
1:41:02 It's funny. I've been doing this long
1:41:04 enough that there's there's some nights
1:41:08 I'm like, "Wait, why am I doing this?"
1:41:10 And I'm sure there's some nights you
1:41:11 watch it and you're like, "Wait, why do
1:41:12 I keep watching this?" [snorts] Um,
1:41:17 but just my instinct has been just keep
1:41:20 showing up. Just keep showing up. Just
1:41:21 keep showing up.
1:41:23 And so I think I finally I think I
1:41:25 finally have some vision around how
1:41:28 that's going going to evolve
1:41:31 and uh and I'm really excited about it.
1:41:34 I'm really excited about what we can do
1:41:36 in the salon. I I really want to
1:41:39 increase the engagement in the salon. I
1:41:41 think a lot of that for me looks like me
1:41:43 showing up in the salon more than I do.
1:41:46 Um just again as a practice, right?
1:41:51 Um because I because I think it's easy
1:41:53 to fall out of the practice and and when
1:41:55 you do it's it's it's not that bad
1:41:57 things happen like life goes on. It
1:41:59 doesn't [ __ ] matter. But if you want
1:42:01 to be in this game, if you want to be a
1:42:03 professional and if you want to be
1:42:06 if you want to be someone that when
1:42:07 someone has a challenge, you can go,
1:42:09 "Oh, I know how to do that.
1:42:12 [laughter] I know how to solve that."
1:42:15 Like you have to you have to be kind of
1:42:17 on a different level. And it's you don't
1:42:19 have to be more technical. You don't
1:42:21 have to be more talented. I just think
1:42:22 you need to put in the time. And so and
1:42:25 I think if we do that in a structured
1:42:27 way in a framework with some clarity
1:42:31 that members of the salon could really
1:42:33 be
1:42:34 powerful powerful voice in this world.
1:42:38 So that I'm excited about. [sighs]
1:42:41 [clears throat]
1:42:42 Yeah. ask AI to how to add 10 hours to
1:42:45 each day. Like that that statement right
1:42:49 there, Professor Crystal or Prof.
1:42:52 Crystal or Crystal the professor,
1:42:54 whatever you are. Um [clears throat]
1:42:58 like that could be that could be a
1:43:00 practice that you could do for the next
1:43:02 six months is every day just do
1:43:05 something in play, create, and lead.
1:43:08 It's about finding ways to to give
1:43:12 yourself 10 hours more. 10 hours more
1:43:15 what? I don't know. 10 hours more play,
1:43:18 10 hours more family time, 10 hours,
1:43:22 you know,
1:43:23 you know, work 10 hours less, but get 10
1:43:26 hours more productivity out of it. Like
1:43:28 whatever it might be, just really
1:43:29 explore that. That could be six months.
1:43:33 Oh, retired CU professor. Awesome.
1:43:35 Perfect. Love it.
1:43:38 Time is a human constraint. Yeah,
1:43:40 exactly.
1:43:42 And you need some money to to to buy the
1:43:44 use of the tools, though. Although,
1:43:46 Corey, I got to tell you, the uh
1:43:48 culinary uniforms, the the um the free
1:43:51 tools at this point, like the fact that
1:43:53 you've got Sunno for free. I mean, some
1:43:56 of the movie generating tools are kind
1:43:58 of [ __ ] up, but but uh because they're
1:44:01 really expensive. But there's enough
1:44:03 open- source ones now that that I think
1:44:05 if you really wanted to do a bunch of
1:44:07 video stuff and didn't have money, you
1:44:09 could probably spin up a
1:44:12 30 buck a month um [clears throat]
1:44:14 Google Collab like a like a virtual
1:44:17 machine instance and run some some video
1:44:20 tools on it and probably get some decent
1:44:22 some decent video out of it that way. Um
1:44:27 this is one of the things that I'm I'm
1:44:30 looking to do right now. So, so for
1:44:32 anyone that's in Denver,
1:44:35 um we're going to officially announce
1:44:37 this the first week of December, but the
1:44:40 AI salon is partnering up with a local
1:44:44 um uh AI space, like a physical space
1:44:48 here in Denver in the Rhino Rhino
1:44:51 district where I work. That's really
1:44:53 it's just really amazing place. And I'm
1:44:56 going to start designing what this AI
1:44:59 practice looks like in person
1:45:02 because I think that's part of it. I
1:45:03 think part of why this channel is
1:45:07 for me as powerful as it is is because
1:45:11 we've developed a bunch of trust and
1:45:14 shorthand and relationships
1:45:17 amongst the group that shows up here
1:45:19 regularly, the irregulars.
1:45:22 um
1:45:24 that I think it
1:45:27 you can't replicate that on your own
1:45:31 like even if you can get all the tasks
1:45:33 done of 20 people there's something
1:45:37 different about experiencing it with
1:45:39 other people and and you know going
1:45:41 through [ __ ] with them and so I think
1:45:43 doing that important in in person goes
1:45:45 up in importance so we're going to have
1:45:47 a lot a lot we're going to be announcing
1:45:48 in the next month about that space as
1:45:50 well And then what we design here in
1:45:53 Denver is going to become the model for
1:45:55 different cities. So um so I'm super
1:45:58 excited about it. So anyway, all right.
1:46:01 Um so we will have an office in Denver
1:46:03 to come to. Yes, we will. It's it's
1:46:05 called if you want to see the I don't
1:46:07 think you can see the space. Wait, I can
1:46:10 show you the space. Yes, I can. I the
1:46:12 technology.
1:46:16 [clears throat]
1:46:17 Um
1:46:20 yeah. Okay.
1:46:28 So, [clears throat] so this is a space.
1:46:31 It's called ID345
1:46:33 or ideas if you're clever and you know
1:46:36 how to do number and letter
1:46:38 substitution. Um, ID345
1:46:42 is is the space and it's like this big
1:46:44 old ex like automotive repair center.
1:46:49 Um, and Danny Newman's the guy that put
1:46:51 it together and he's a a restaurant tour
1:46:54 and a a tech developer and things like
1:46:56 that and he's got all sorts of visions
1:46:58 for it. But it's got all these different
1:46:59 seating areas. Um, [snorts]
1:47:02 and you know, like old typewriters and
1:47:06 um, there's like the space up there with
1:47:09 the that's there's a second level and
1:47:10 like little offices down there. There's
1:47:13 a big kitchen,
1:47:15 you know. Here's one of the spaces with
1:47:17 just old TVs in it, [ __ ] like that.
1:47:19 There's another really cool space.
1:47:21 There's a big sort of theater area where
1:47:23 you can demo stuff. They just put a
1:47:24 sound system in it. And then there's all
1:47:27 these like, you know, privacy booths and
1:47:30 server racks and [ __ ] like that. And
1:47:32 there's all sorts of ideas for that and
1:47:33 a big old conference room table. So,
1:47:36 it's just this really cool space. So,
1:47:38 this is going to be
1:47:41 the
1:47:42 official home of the AI salon in Denver.
1:47:46 And and what I'm trying to like the when
1:47:49 I walked into this space, what I loved
1:47:51 the most about it is the lack of how
1:47:55 techy it like it's it's kind of an
1:47:58 anti-te space, right?
1:48:02 Where will you park the 70? Yeah,
1:48:04 exactly. Oh, the 70s resto mod. Yeah, I
1:48:07 got to get a 70s resto mod and put it
1:48:08 out front. That's huge. Yeah, isn't it?
1:48:12 Yeah, I'm I'm really excited about this.
1:48:14 So, like it's just got this analog vibe
1:48:17 to it, but it's going to be highly
1:48:20 technical and like some of the smartest
1:48:22 AI minds are going to be in here. And
1:48:24 some of the ideas that we have for what
1:48:26 we're going to do in the space are just
1:48:28 cool. And then and then what I want to
1:48:30 do is I want to be able to kind of
1:48:32 replicate this idea like when we when we
1:48:35 create homes for the AI salon in
1:48:37 different cities, I want them to have a
1:48:39 vibe, right? I want them to feel like
1:48:43 that's where I hang out. Like if you
1:48:45 were going to do an AI practice, this is
1:48:48 a place you'd want to come do it every
1:48:50 day, right? Let me know when you want to
1:48:53 do one in California. Beautiful. Love
1:48:55 it. Can a regular come and visit every
1:48:59 now and then?
1:49:01 Yes, of course. [laughter] A regular and
1:49:04 irregular.
1:49:06 Well, like one of the things I thought
1:49:07 about is doing is doing um
1:49:12 like doing targeted
1:49:14 advertising campaigns that are like if
1:49:18 you think you're too technical for AI,
1:49:20 think again and do like really like you
1:49:24 know th this is where you come and you
1:49:27 know you're going to walk in here a
1:49:28 beginner and you're going to walk out
1:49:30 like you know on a mission to become
1:49:33 like you're walking into a dojo here.
1:49:37 You know, walk out a black belt.
1:49:40 [clears throat and laughter] I'll bring
1:49:41 coffee machine gas. I'll bring the
1:49:43 coffee mugs. Yeah, exactly. Yeah. Corey
1:49:45 Sandler Pottery is going to be the
1:49:46 official sponsor. The the official uh
1:49:50 pottery sponsor of the AI salon. I like
1:49:52 it. What if you're not significant? Oh,
1:49:55 stop that. Mary, here's the deal.
1:49:57 Listen, one of the earliest things, this
1:50:00 is actually important.
1:50:03 I know you're joking, but one of the
1:50:06 things I noticed very early on in AI
1:50:09 salon meetings
1:50:12 was that there was a lot of apologizing
1:50:16 for how
1:50:18 not good someone was at AI
1:50:21 and then they would show us something
1:50:22 that they were doing and it would blow
1:50:24 our minds. [laughter]
1:50:27 And it got to the point where I kind of
1:50:29 there there was a while where I was I
1:50:31 declared, you know, stop apologizing. No
1:50:33 apologies. Stop apologizing
1:50:35 because I think where the apologies come
1:50:37 from is especially if you're not
1:50:39 technical.
1:50:41 You know that gener like creating this
1:50:44 AI [ __ ] requires MIT degrees and
1:50:47 Stanford degrees. It really does, right?
1:50:50 [laughter]
1:50:51 Um but to use it doesn't. And and so I
1:50:55 think there was like an overhang of like
1:50:57 feeling like well the the thing I'm
1:50:59 doing with AI is just like this. I just
1:51:01 use it over here in this little corner
1:51:02 of my world. And what happens is that
1:51:06 little way that you use it in your
1:51:08 corner of your world is revvely to
1:51:10 someone else. And so I I want to keep
1:51:13 this idea going that no apologizing.
1:51:15 Like where you are is where you are. No
1:51:17 one is an expert at this stuff right
1:51:19 now. We're all trying to figure it out.
1:51:20 And that's the idea of the practice.
1:51:22 Just be in the practice. Just show up.
1:51:24 Just show up. Just like breathing. You
1:51:26 wake up. You do your constitutional. You
1:51:29 have a coffee, you do some AI, whatever
1:51:32 it might be. You know, if you're clever,
1:51:34 maybe you do your constitutional while
1:51:36 you're doing your AI, huh? You know,
1:51:38 it's kind of world we live in now. There
1:51:41 you go. The I am an artist flashcards.
1:51:44 No apologizing. Exactly.
1:51:47 Mary, this class has changed my world.
1:51:49 Good. This practice has changed your
1:51:51 world. It's you showing up to be honest
1:51:55 is more important.
1:51:58 What I say
1:52:00 occasionally might
1:52:02 land somewhere. You showing up is the
1:52:05 thing that's making the difference. I
1:52:07 promise you that. It's because it's just
1:52:10 it's just you just your mind is open to
1:52:13 what's possible.
1:52:15 and someone will come in here and
1:52:16 they'll say something or they'll show
1:52:17 something or, you know, you'll see
1:52:19 something I do and it'll open something
1:52:21 up, but you got to be there to be you
1:52:23 got to be open to that thing coming in.
1:52:26 So anyway, all right, no apologies. That
1:52:29 was the TED AI thing. We'll start to
1:52:31 demo some [ __ ] again this week. Um, and
1:52:34 then as I as I develop this structured
1:52:39 practice, the practice framework,
1:52:42 um, I'm going to
1:52:45 I'll be trying it on here. Like, like
1:52:48 you guys are going to be the guinea pigs
1:52:50 for this thing. Um, because that's what
1:52:53 this already is. So, if we put a little
1:52:55 bit of structure into it, we'll see what
1:52:57 works and what doesn't. And then
1:52:59 ultimately once we get that cracked
1:53:01 that's going to go into the mastermind
1:53:04 and the mastermind is going to become a
1:53:05 much more focused place. The mastermind
1:53:08 is going to be where you go where you
1:53:09 want to develop your practice. You want
1:53:11 to like really take it to the next level
1:53:13 and be with people that are taking it to
1:53:15 the next level. That's what that's going
1:53:17 to be about.
1:53:18 All right. Beautiful.
1:53:30 90% of success is showing up. It really
1:53:32 is.
1:53:34 It really is. And and you know, um Rick
1:53:37 Rubin, I I saw a Rick Rubin quote the
1:53:39 other day, Joy, that that um
1:53:42 I really liked and I haven't I've heard
1:53:45 things similar to it before, but I
1:53:47 haven't heard this specific one. And it
1:53:49 was um [clears throat]
1:53:52 you should treat every creative work,
1:53:54 every work that you do as a journal
1:53:57 entry.
1:53:59 Meaning
1:54:01 you should create the thing
1:54:04 assuming that no one's going to ever see
1:54:06 it. And the expectation is just to get
1:54:11 the words on the page when you journal,
1:54:14 right?
1:54:15 So every creative expression should be
1:54:17 treated like a journal entry. It's this
1:54:19 personal private no one's going to see
1:54:22 this thing. And then once you create it,
1:54:26 then it's this thing you can choose to
1:54:27 share with the world or not. But I love
1:54:30 I love that idea of divorcing that
1:54:33 expectation of what are people going to
1:54:35 think just it's a journal entry. This
1:54:37 thing I'm making it's just a journal
1:54:39 entry. Just a journal entry. I like
1:54:42 that. So anyway, all right. I'm going to
1:54:44 get out of here.
1:54:46 Um, [snorts]
1:54:48 tomorrow's Tuesday.
1:54:51 We've got no salon. We've got a salon
1:54:53 next week. By the way,
1:54:56 write this down. Next Tuesday night is
1:54:59 the AI salon presents. We're not having
1:55:03 a speaker. We're going to have a lot of
1:55:04 speakers. We're going to roll out this
1:55:07 this new practice
1:55:10 idea. We're going to talk about what are
1:55:12 the components of it. Liz is going to
1:55:14 talk about her ideas behind it. I'm
1:55:16 going to talk about mine. And then we're
1:55:17 going to have people within the
1:55:18 community talk about if AI is a practice
1:55:22 for them, what does that look like? I
1:55:25 want us to start modeling for one
1:55:27 another what it looks like to be in a
1:55:30 practice. And like Corey, to your point
1:55:32 of like you're in a mode right now where
1:55:34 you don't know what to do with it, but
1:55:36 you know, you're still putting in the
1:55:38 time. And if you're not putting in the
1:55:39 time, maybe it's time to get back on
1:55:41 that on that wagon of just put in the
1:55:43 time. Put in the time because at some
1:55:44 point, you know, inspiration will come.
1:55:47 But I want us to to to model for each
1:55:50 other what that's all about. So that's
1:55:51 next Tuesday night. All right. Um it's
1:55:54 going to be a really good one. Fabiana,
1:55:57 I'm here late. It's okay. We still love
1:55:59 you. We're back. Firing on all
1:56:02 cylinders. All right. Share it on the
1:56:05 salon. Exactly. Oh, wait. I want to
1:56:07 share my image process for series with
1:56:10 chat GBT and series creation. Corey
1:56:12 Sandler, do me a favor. Um, connect if
1:56:15 you want to do it just like in an
1:56:17 hour-long thing, connect with Vicki and
1:56:20 we'll do it as an LOL. If you want to do
1:56:22 it as a series, connect with Andy
1:56:25 Scarantino. An N D.
1:56:28 She just put together um Cindy [ __ ] did
1:56:30 that four-week um sprint for for
1:56:33 building stuff for uh what was it
1:56:35 called? for uh for doing a miniourse. Um
1:56:39 and Andy just turned that into this
1:56:40 really cool space of of all the the
1:56:44 downloadables and the the videos and
1:56:46 things like that. So if you want to do
1:56:48 it as a series, I that would be really
1:56:50 powerful. I'd love for you to do that in
1:56:52 the salon. That would be awesome. Great.
1:56:55 Thank you, Kyle. Another great one.
1:56:56 Thank you very much. Beautiful. All
1:56:59 right, kids. Peace. I'll see you
1:57:00 tomorrow at 8 o'clock.
1:57:05 >> [cough and clears throat]