1/16/2026 - Scheduling AI Salon DC Flyin Posts and Building Relationships with Legislators

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0:01 Champy,
0:02 you ready? You ready for the action?
0:08 Are you ready for the action? Champy,
0:11 come here.
0:17 [music]
0:25 >> [music]
0:41 [music]
0:43 >> Is this place I can rest my forehead?
0:50 [music]
0:50 Gather my thoughts in sweet silence.
0:57 To [music] me is this place where the
0:59 [singing] feelings are
1:02 [music]
1:04 running from an over exposure to
1:06 violence.
1:08 This is a place [music] I can slowly
1:10 [singing] face. The only one I truly can
1:13 know. [music]
1:16 These are tears [singing] from a long
1:18 time ago.
1:20 Got these tears from a long time ago. I
1:24 need to cry 30 years [singing]
1:26 or so.
1:28 These are tears from a long time
1:32 [music]
1:33 ago.
1:44 >> [music]
1:48 >> Oh darling, oh darling, you say unto me,
1:53 [music]
1:55 where have you been [singing] all my
1:57 life?
2:02 I have been swimming seven sad seas.
2:07 [music]
2:09 Old women have [singing] tossed me their
2:11 life.
2:18 [music]
2:23 [laughter]
2:28 I like that dog. You ever heard the
2:31 champ Shannon? You ever heard the champ
2:32 Shannon sing? [music]
2:35 He makes you smile.
2:39 >> [music]
2:42 >> Happy Friday night. Date night.
2:48 [music]
2:53 [music]
2:59 [music]
3:02 Woohoo.
3:05 >> [music]
3:15 >> I didn't mean to cause you any sorrow.
3:20 [music]
3:20 Didn't mean to cause you any pain.
3:28 All I want time to see you laughing.
3:30 [music]
3:33 All I want to see you laughing [singing]
3:35 in that purple rain. Purple rain. Purple
3:39 rain.
3:43 Purple [singing] rain. Purple rain.
3:49 Purple rain. Papa rain.
3:56 I [music] only want to see you laughing
3:59 in that purple ring.
4:05 >> Oh, good lord. Good lord. Good lord.
4:08 Good lord. Good lord. Some fine
4:12 medicine. [clears throat]
4:14 [laughter]
4:16 Happy Friday. What is happening with
4:18 everyone? Did I actually go live on
4:20 YouTube tonight? I did. Congratulations
4:22 to me.
4:25 Um, I'm so glad that you want to hear
4:28 from me.
4:32 [music]
4:39 [music]
4:45 [music]
4:50 >> [music]
4:54 [music]
5:02 [music]
5:10 [music]
5:15 [music]
5:23 [music]
5:29 [singing]
5:31 >> What do you think, champ? What's that
5:32 song?
5:36 What are you doing? You going to sing?
5:48 >> [music]
5:55 >> Every time I see you now,
5:59 get that look in my eyes.
6:03 Every time I see your mouth, I hear that
6:07 smile.
6:10 The early misty morning
6:17 light that I heard the engine turning
6:21 [music] and the old [singing] for
6:22 outside.
6:27 [music]
6:29 Will you believe in me
6:32 again [singing] today?
6:35 You will convince me
6:38 again [singing and music] today. Hey,
6:41 you're leaving this hotel looking for
6:44 someone else's golden
6:45 [singing and music] ring.
6:50 Should I say
6:52 so long? S
6:54 wait. [music]
7:00 Hush now. Don't you cry.
7:02 [singing and music]
7:05 So long, Susanna. [singing]
7:10 >> [music]
7:11 >> Don't you cry for me. [singing]
7:16 [music]
7:22 [music]
7:27 [sighs]
7:29 [music]
7:30 You know what I noticed tonight?
7:35 >> [music]
7:41 >> How long I've been doing this?
7:47 Two and a half years.
7:51 And I probably I think I've been singing
7:52 the the guitar the whole time. I've
7:55 never looked at the camera when I sang.
8:00 Never.
8:01 [music]
8:02 or at glance like a koi little oops.
8:10 The human mind is a fascinating thing,
8:13 isn't it? [music]
8:22 [music]
8:25 Like in my mind by not looking at the
8:27 camera, am I somehow not singing?
8:32 >> [laughter]
8:32 >> I feel better already. Oh, thank you so
8:34 much. Happy to be here. Date night.
8:37 Welcome. If if uh if you got a date,
8:39 great. If I'm your date, awesome. Let's
8:42 have fun tonight. Friday night date
8:45 night. Other night, otherwise known as
8:47 just another day in the daily practice.
8:50 We're going to try to do some stuff.
8:51 We're going to [music]
8:54 maybe confront some stuff. We're going
8:56 to maybe succeed. We're going to maybe
8:57 fail.
8:59 [music]
9:03 had a really nice talk today with
9:05 someone who's going to be our speaker in
9:07 uh on February 3rd for the AI Salon
9:10 Presents. Um I just saw a piece of work
9:14 from an ex-creative director
9:17 um [music] and I think I'm going to ask
9:18 him to be on the AI salon presents. So,
9:21 [music]
9:24 having a good a good connected day.
9:27 [music]
9:29 And I looked at the camera while I sang.
9:31 Good lord. But wonders never cease.
9:34 [music]
9:36 Are you talking about AI today? I may.
9:40 I may. [laughter]
9:43 There's some new stuff from Open AI. Um,
9:46 so, so one of the thing I'm going to,
9:47 one of the things I'm going to do
9:49 tonight is I've got I've got some work
9:50 to do on um creating some more posts for
9:53 my Washington DC trip for the AI salon
9:55 hosting hosting a bunch of startups in
9:58 DC next week. So, I got to get that I
10:00 want to finish the thing I started last
10:02 night.
10:04 Um, and that shouldn't take long. Like
10:06 all the work's already done. It's it's
10:08 literally setting up the the uh the
10:10 posts.
10:11 Um, [music]
10:14 and then I think I think I might head
10:16 over to the to chat GPT and look at
10:18 what's new. And then I saw I don't know
10:20 an hour ago,
10:22 um, it looks like they they released
10:25 Claude co-work to to Claude Pro
10:28 subscribers. It was only available to
10:29 Max subscribers, which is like a 100red
10:32 or 200 bucks a month. And uh, I didn't
10:36 have that, but I do have Pro. I am
10:37 paying the 20 bucks a month. So, we'll
10:39 see.
10:44 >> [music]
10:47 >> kind of an anime connoisseur 101. Yeah,
10:50 th this channel is Listen, if you're if
10:54 you're neurospicy,
10:56 um you might enjoy it here. uh if you
10:59 don't mind neurospicy people and ADD and
11:02 [music]
11:05 the person
11:08 leading the conversation
11:14 not to follow a
11:18 a rigid agenda,
11:20 then you might like it here. [laughter]
11:22 If you're here to check off the
11:24 qualifications checkbox and get the get
11:27 the course, probably not going to be for
11:29 you. [music]
11:31 Um, here's the way I like to think about
11:33 this channel now. I'm using this time
11:36 for me personally as an extension of my
11:39 daily practice centered around AI. Um,
11:42 it's something that I started uh doing
11:46 because with within the AI salon, which
11:48 I'm the co-founder of and the co-host
11:50 of, um, we launched the AI salon
11:54 mastermind practice and weekly we meet
11:58 with anyone who's part of the AI salon
12:00 mastermind. Anyone who wants to design
12:02 their own practice, we meet once a week
12:04 to to do that. We're coming up on the
12:08 end of our first cycle and it's been
12:10 it's been a a profound experience for me
12:13 and I didn't even though I was leading
12:15 it I did not start
12:18 truly doing a daily practice uh until
12:21 about two months in. So I've been doing
12:23 it for about 3 weeks now. [music] Um and
12:26 it's it's really quite profound. So what
12:28 does that look like? It's [music] the
12:30 difference between um just showing up
12:33 and playing with AI, just kind of
12:35 mindlessly meandering through the AI
12:37 wonderland
12:39 um and coming in with intention and
12:41 really thinking about who am I and what
12:43 do I want and what are my values and
12:47 um
12:50 what do I want more of
12:54 and then
12:56 how can I use AI to amplify that
13:00 and that's tremendously exciting and
13:01 it's tremendously powerful. But it's
13:03 also scarier than [ __ ] [laughter]
13:07 cuz have you ever have you ever asked
13:08 have you ever taken a moment to center
13:10 yourself and just ask the very simple
13:12 question, what do I want more of?
13:15 [music]
13:16 It's a [ __ ] Tik Tok pin I follow
13:19 because you play guitar. Well, oh man,
13:22 thank you. And I want to learn more
13:24 about AI. Wow. Well, thank you very
13:26 much. I, you know, um, it's funny. I I
13:30 define myself as a as a as a not good
13:34 guitar player, as a tinkerer. [music]
13:40 But, you know, I've been I've been
13:41 tinkering for a lot of years. So, so
13:43 maybe there's something there. Thank
13:45 you. I appreciate that. And yeah, so so
13:48 here's the here's the real trick with
13:50 this channel.
13:51 You'll notice in here there's some
13:53 people that are probably already
13:54 chattering back and forth with each
13:56 other, saying hello to each other, maybe
13:58 answering each other's questions. Um,
14:01 they're what we call the irregulars
14:03 [laughter]
14:04 and and they're weird. They're not
14:06 weird, they're irregular. They're a
14:07 self-proclaimed group. Um, they show up
14:11 here night after night after night after
14:14 night. And why they do that is that this
14:16 is a space where yes, I create this
14:18 container and I am goofy and do some
14:21 things sometimes. Um, but this is really
14:24 an opportunity for all of us to just be
14:27 in the conversation about AI. So some
14:29 nights I might be full-on teaching
14:31 stuff. Some nights I just might be
14:34 useless in terms of giving you input,
14:38 but the space is still here. So you can
14:40 use it to experiment with tools or
14:44 center yourself and figure out what you
14:45 want to do or just have it as background
14:47 noise. A lot of people use this instead
14:49 of sleeping pills, which I highly
14:52 encourage. Just let the the sound of my
14:55 meandering voice send you off to
14:57 slumberland. Um, but just use it as a
14:59 space to be in the conversation because
15:02 2026 is about to get [ __ ] surreal.
15:06 It's about to get wild.
15:10 the tools. The last six months of 2025
15:12 let us know that that these things are
15:15 getting seriously powerful and 2026 is I
15:19 think when we start to hit the vertical
15:20 part of the acceleration curve. Um I
15:23 don't think we've hit it yet. I think
15:24 we're about to hit it and none of us not
15:26 one of us have ever been through that
15:28 before. We don't know what that looks
15:30 like. when when the AI tools start
15:33 getting good enough to start improving
15:35 themselves,
15:36 um, shit's going to get wild. Like the
15:40 the the Claude Co-work thing that I just
15:42 talked about that that launched for
15:44 Claude Pro users that um was written
15:48 entirely 100%
15:51 by Claude Opus 4.5.
15:55 um like all the lines of code, [music]
15:57 you know. I'm sure there was an engineer
15:59 there stewarding it, but that engineer
16:03 didn't write any of the code.
16:07 I lost my job to AI. Ah, so now I'm
16:10 trying to make money with AI. Good.
16:13 >> You can make money with GPT.
16:15 >> Here's the one thing I can tell you.
16:17 anyone that's telling you selling you
16:19 these [ __ ] courses on how to make
16:21 money with chat GPT or whatever flavor
16:23 of that it is these days um how they're
16:27 making their money is taking your money
16:29 to tell you how to make money with chat
16:32 GPT [laughter]
16:34 I can promise you that that I know
16:38 um
16:40 I think you're in the right place so
16:42 Brandon if you'd be so kind pop up the
16:44 uh the the URL for the AI salon. Um, the
16:50 AI salon. I started the AI salon the
16:52 week chat GPT came out. I've this is my
16:54 second time in the big technological
16:56 revolution movie. Um, I was there for
16:59 the early days of the worldwide web uh
17:01 when when the the worldwide web came
17:03 onto the scene. I started one of the
17:05 first digital agencies, a company called
17:08 agency.com. So, I have been through one
17:10 of these technical revolutions before
17:13 and I can tell you that we're very
17:16 early. You're not as late as you think
17:18 you might be. Um, this one is way
17:21 bigger, way different, way more profound
17:24 than the worldwide web was. And we know
17:25 that that transformed everything. Um, so
17:28 I started the AI salon community the
17:32 salon.ai.
17:34 Um,
17:36 I started that the week chat GPT came
17:38 out. I also started this channel uh that
17:41 same week. What I knew from my
17:44 experience back then was
17:47 when you're in the birth of a new
17:51 technological phase,
17:53 there's nowhere you can actually learn
17:55 how to do it.
17:57 It's not possible. And and with AI, it's
17:59 even worse because it's changing every 3
18:01 weeks. I mean the worldwide web it had
18:03 transformations but it was the same base
18:06 technology the same the base technology
18:09 of the worldwide web was the hyperlink
18:12 the ability to click on a hyperlink and
18:14 jump from server to server that was the
18:16 core technological revolution everything
18:18 else was just flower dressing around
18:20 that AI is way more profound than that
18:24 way more profound so welcome
18:27 um and join the AI salon if you go
18:31 community.thesalon.ai.
18:32 There's a little four-step welcome
18:34 thing. The second step is introduce
18:36 yourself. So, jump in there and
18:37 introduce yourself.
18:39 Okay.
18:43 And wake up someone else's Tik Tok live.
18:45 Oh, when you go to sleep to mine. Yeah,
18:47 exactly. You're like, Kyle sounds weird.
18:50 Oh, that's not Kyle. [laughter]
18:55 Okay. So, kids,
18:59 where we're going to start tonight is
19:01 I'm going to I'm going to go to um
19:06 I'm going to go to the AI salon.
19:11 [clears throat]
19:14 And here is my first post talking about
19:18 Washington DC. So, if you go to the AI
19:21 salon and um go to the salon
19:25 announcements, which I think is like the
19:27 fifth one down or the the fourth one in
19:30 community and event salon announcements,
19:33 um you'll see that we're taking the AI
19:36 salon to DC. And so, what I'm what I've
19:39 c what I created yesterday was a series
19:42 of posts for this weekend and next week
19:45 when I'm in DC. And so we're going to
19:48 pre uh populate all those posts tonight.
19:51 So I did three of them last night and
19:53 one went live. And now we're going to do
19:59 some more.
20:02 Okay. So we're going to create an
20:03 article
20:06 and we did Friday, Saturday, Sunday. So
20:10 now I need to find
20:13 not Sunday
20:16 TC flying. I need to find Monday,
20:36 Wednesday.
20:39 Tuesday. Okay. Monday the 19th.
20:44 Here's the spine of the week.
20:48 All right. And then the other thing I
20:50 had the the way this worked, I took the
20:51 run of show of what's happening next
20:53 week. I threw it into chat GPT. I told
20:55 it some things about the AI salon. It
20:57 knows some things about the AI salon.
20:59 And I had to just write posts. I haven't
21:01 read these posts. Um, they're not
21:05 they're they're about 80% of the way
21:07 there. So, what I'm doing here is
21:10 copying from chat GPT, going over here
21:13 to Mighty Networks, and just literally
21:17 pasting the crap in
21:21 spine of the week. Quick preview. Okay,
21:27 so here's the spine of the week. If no
21:29 one's If no one knows that we're going
21:32 to
21:34 DC, here's
21:40 [clears throat and sighs]
21:41 the preview of
21:45 our
21:49 DC flyin.
21:52 And I think Vicki, you'll know this is
21:55 flyin. Uh,
21:58 got an apost got a dash in it. I think
22:01 it does.
22:03 Kishan de Milan, happy new year.
22:17 Kashan
22:19 immediate you. Uh, please no advertising
22:23 in the comments. Kishan on LinkedIn.
22:25 Please don't do that. Please don't do
22:27 that. If you want to contribute to the
22:29 community, contribute to the community.
22:30 If you want to market to them, do that
22:31 somewhere else. [snorts]
22:35 All right.
22:38 Um,
22:41 I'm going to say this is the week
22:43 exclamation point.
22:46 Here's a
22:49 quick preview of what
22:53 we're con of what we're convening in DC
22:56 and why it matters. Wednesday, January
22:58 21st, breakfast and walk on the Capitol,
23:00 we're doing the very glamorous thing
23:02 where adults eat eggs and then speedwalk
23:04 together.
23:07 I guess that's fine.
23:09 [laughter]
23:10 I mean, I don't think I would write
23:11 that, but it's not horrible. [laughter]
23:15 Capitol Hill briefing with the abundance
23:18 institute open to hill staff. I'll give
23:21 welcome remarks
23:23 and then the round table will begin.
23:27 Then
23:30 the
23:33 round table moderated by
23:39 the
23:41 abundance
23:43 institute
23:46 will begin.
23:48 Okay.
23:50 Welcome reception at Silver Lion the
23:53 Rigs building. [clears throat]
23:57 Daisy Thomas and I will give welcome
24:00 remarks.
24:01 We'll have flying participants together
24:03 in one room, plus friends and partners
24:05 joining. That's fine. That's good.
24:08 Welcome. I'm just going to say welcome
24:10 reception. We don't need to know where
24:12 that is necessarily.
24:14 Uh uh [clears throat] uh.
24:20 All right.
24:23 [clears throat]
24:25 Anybody have any questions?
24:29 Like, why the hell would I watch this?
24:31 Might be one. I get so damn excited
24:34 every day when I learn something new.
24:37 Um, Eric Eric Trong. Um, yeah, it's
24:42 you can absolutely,
24:44 we call them Kevin Mallister moments.
24:47 That moment from Home Alone. You can
24:49 have you can have one of those daily if
24:51 you want. The the thing that's wild
24:53 about AI
24:55 is how quickly you can normalize it.
24:59 Like how quickly you can just normalize,
25:01 oh yeah, we can just speak [ __ ] into
25:04 existence now. Yeah. Yeah. Yeah. Yeah.
25:07 You know, you know what's not? It's kind
25:09 of a drag that that you know it codes
25:12 for a week straight and it made some
25:13 mistakes.
25:15 Wait, what? It coded for a week
25:17 straight? [laughter]
25:20 Did the thing it built actually work?
25:22 Yeah, but it had some bugs. But it
25:24 worked. [laughter]
25:26 Yeah,
25:28 that happened [clears throat] this week.
25:30 Um, [laughter]
25:32 yeah, we're in a we're in a wild time.
25:33 We really are. It's [ __ ] far out. Um,
25:37 let me Can I get rid of this?
25:41 I guess I can't. [clears throat]
25:44 Okay. Morning prep. Tuesday morning
25:46 prep. Congressional office meetings.
25:48 roundt
25:50 Congressional AI task force and then
25:53 White House and then I'm going to say
25:56 um in
25:59 parallel with the
26:04 roundt
26:09 White House and commerce meetings
26:11 including a confirmed Department of
26:13 Commerce. We'll just call this briefing
26:17 because meeting is said twice. The goal
26:20 isn't AI optimism. That's not right. The
26:23 kind of policy. I'm just going to lose
26:25 that.
26:28 Tomorrow I'll share what Daisy and I
26:30 will be doing inside the flow of the day
26:32 so you can see and follow along. Okay.
26:35 So, this is the preview of the week
26:36 ahead. So, now we're going to add header
26:38 media.
26:45 Where did I put it? I think I put it in
26:47 Google Drive.
26:49 Look at me being able to actually find
26:51 something
26:53 two nights in a row.
26:58 That one's pretty cool. Yeah, I think
27:01 these ones that are more like people
27:03 sitting around doing [ __ ] that'll be
27:05 the ones for the week. I think this is a
27:07 good aspirational one. All right. So,
27:10 let's add that in.
27:13 Let's let Mighty Networks crash and
27:16 we'll do it again.
27:20 All right. [clears throat]
27:23 You get to upload it twice for
27:26 convenience.
27:29 [clears throat]
27:30 Okay. Save that.
27:37 Okay. Here's a quick Let's see.
27:39 Wednesday.
27:46 I think we're going to do um
27:51 this is a lighter day, but we are
27:56 co-hosting
28:00 um
28:04 a round table
28:09 discussion
28:11 with AI
28:14 founders.
28:17 That is open to
28:21 Capitol
28:24 Hill staff
28:31 as a joint
28:35 effort with the uh
28:39 abundance
28:41 institute. Shoot.
28:46 Then have some of the day
28:50 to ourselves
28:53 and a
28:55 opening reception
28:58 that night. I'll put fancy exclamation
29:02 point. [laughter]
29:05 Fancy exclamation point. Okay. So that's
29:07 Wednesday. Thursday. Um, this is the
29:11 meat of the
29:14 fly in. And when
29:21 black bar, sorry about that. Sorry about
29:24 that. Carrying on rather cheerio pip
29:27 pip.
29:29 [snorts] Okay, this is the meat of the
29:31 flyin and when um this is the meat of
29:34 flyin and when um
29:38 the the
29:40 real relationship building is done. So
29:43 let me talk about this a little bit,
29:44 right? Relationship
29:47 building happens.
29:51 These meetings
29:55 are not in response
29:59 to
30:01 any specific bill,
30:07 but rather
30:10 a proactive way
30:13 for us to get our
30:18 individual
30:20 voices
30:22 in front of
30:28 congressional
30:30 senate
30:32 and white
30:34 house
30:35 staff.
30:38 So that
30:44 when
30:46 there
30:50 is some specific bill
30:57 where they need input,
31:01 chances are high
31:04 they will think
31:07 of our org or
31:12 our members. I think that's important to
31:14 put some context in there.
31:17 I should mention homework. What is the
31:20 homework? Did we talk about the
31:22 homework? Just that there will be
31:23 homework.
31:26 Producer Brandon's giving me notes.
31:30 Oh, yeah. Okay, I will do that. Great.
31:32 Thank you.
31:35 Beautiful. Beautiful. Fantastic. Dare
31:37 producer Brandon. Yeah, producer
31:40 Brandon, he, you know, he does the good
31:42 work over there on the side. He's behind
31:44 the scenes. Didn't he don't get on
31:46 camera a lot, you know, he's got he's
31:49 got more of a, you know, radio face. No,
31:52 he doesn't. He's actually He's quite a
31:54 pleasant man. [laughter]
31:59 They're like making fun of him, though.
32:01 Vibe Cinema 2025. Oh, yeah. Manners.
32:04 Thank you, Brandon. I might need to get
32:06 some social [laughter] interactions back
32:07 in my life.
32:10 Oh, missed the shot collar moment. All
32:12 right, [snorts] cool. Um, beautiful.
32:15 Let's see.
32:18 So, let's make this not bold.
32:22 Uh, what did I do? Let's make this not
32:26 bold.
32:27 Let's make this not bold.
32:31 Let's make these dates bigger.
32:35 We'll call those heading twos. Yeah.
32:37 Look at that. Nice,
32:40 right? Boom. Heading two. Look at this
32:45 fancy [ __ ]
32:48 Can we do this in color? I bet we can.
32:51 No, we can't. Whatever.
32:56 All right. [clears throat]
32:58 Uh, this is the meat of the flying.
33:00 Okay. So,
33:02 so this is for Monday. So, what I'm
33:04 going to do is I'm going to do schedule
33:06 post. Boom.
33:09 So, we're going to do Monday the 19th
33:13 at 6:30 a.m. Mountain time
33:17 and that will make it 8:30 East Coast
33:20 time.
33:23 The other thing that I'm going to check
33:24 to do, we're going to notify. So, that
33:27 thing is scheduled. So now if I go to my
33:30 scheduled posts, I should have three in
33:33 here. I do. Look.
33:35 So here's the 17th. Here's the 18th.
33:39 Here's the 19th.
33:41 They're all going to salon
33:42 announcements. They all have notified
33:44 turned on. They all have pretty
33:46 pictures.
33:48 They have a nice pretty picture.
33:52 He went down to the store. He got a nice
33:54 tomato.
33:56 [laughter]
34:02 If if you're new here and you're
34:04 thinking,
34:06 uh,
34:09 he's a little leftist center, isn't he?
34:12 Yeah, [laughter]
34:13 I am.
34:16 Sometimes it's really fun in here.
34:18 Sometimes at my expense. Uh, sometimes
34:22 it's not fun in here. Also at my
34:25 expense. Kyle [laughter] cracks himself
34:27 up. Yeah, I I I have learned over the
34:29 years that what this channel really is
34:30 is an opportunity for me to crack jokes
34:33 that I then laugh at.
34:36 [laughter]
34:39 And there's no explanation for why I'm
34:41 laughing because it's not a joke in the
34:43 traditional sense like something's
34:44 actually funny. It's just, you know,
34:47 [ __ ] going on up here.
34:51 Okay,
34:53 fantastic. [snorts]
34:54 Let's do another one.
34:57 [laughter]
34:58 Oh, by the way, if you're new here also
35:01 and you're still here, that's on you.
35:04 Uh, but tomorrow when someone says,
35:06 "What did you do last night?" and you
35:09 struggle to answer the question. You're
35:11 like, "Uh, uh, I
35:16 kind of uh watched a guy make some
35:19 social media posts.
35:21 Why'd you do that?" I don't know. I
35:24 don't. That's normal. That's a normal
35:26 feeling. You if you're flumx tomorrow,
35:29 what happened? It's kind of like going
35:32 on a blackout drunk bender. [laughter]
35:40 Lie to them. What did you do last night?
35:42 I had a hot date. You know what? She was
35:44 really into AI. We talked about AI all
35:46 night. It was fantastic.
35:49 She was awesome. You going to see her
35:51 again? Uh yeah, week nights. What? Never
35:56 mind. I'm okay. [laughter]
36:03 [gasps] Oh god, I love entertaining
36:05 myself. I am such a card. Such a card.
36:09 Really hilarious sometimes what I do,
36:12 [laughter]
36:14 wouldn't you say?
36:17 [sighs]
36:17 Wow.
36:21 >> [clears throat]
36:22 >> What Daisy and what day what Daisy and I
36:25 are actually doing in this. This is a
36:28 shitty headline.
36:31 Okay, so this is going to say
36:35 not that. [clears throat]
36:37 This is going to say and so it begins.
36:40 And
36:43 so it begins.
36:48 The DC
36:53 good lord learn to type
36:57 the DC
36:59 law on Tik Tok. Johnny D kind of hoping
37:02 he would address one of our questions.
37:04 So Johnny D, awesome point. Awesome
37:07 point. I occasionally do. And in fact,
37:10 the one that I'm going to address right
37:11 now is the one where you said you kind
37:14 of hope I would address some of your
37:15 questions.
37:17 So, it has been addressed. Um,
37:23 if if anyone has any specific questions,
37:26 let me know and they'll pin it. And
37:29 let's see. You haven't missed. Okay. So,
37:32 if if there's if there's a really
37:34 specific question that you have, ask it.
37:36 Um, I may choose to keep going down this
37:39 path because part of part of how I'm
37:41 using this time is to
37:46 Okay, how do I how do I put this?
37:49 I spent two and a half years in this
37:52 channel just [ __ ] around and and
37:55 [ __ ] around, just playing with [ __ ]
37:57 answering questions, doing all that
37:58 stuff. And what I realized is that's 10
38:03 hours a week of my time where all this
38:07 energy was going out, but it wasn't
38:09 necessarily
38:11 advancing me or advancing my craft.
38:15 And so this year, I've shifted this into
38:18 using this as part of my daily practice.
38:20 And part of what a daily practice looks
38:22 like is it puts more intentionality in
38:24 what you do. But some of that just looks
38:28 like shitty work. So, if you have
38:30 specific questions, ask them. I will try
38:33 to answer them as I can.
38:36 Ah, I'd like to learn about Perplexity
38:38 AI. Any experience? Um,
38:42 I have a decent amount of experience
38:44 with Perplexity AI, but I haven't used
38:47 it
38:49 in
38:52 good lord
38:55 probably close to a year, nine months.
38:58 And the the reason for that is that and
39:01 it's it's not a bad tool. It's a really
39:03 good tool. Um
39:06 all of the other large language models
39:08 with the exception of anything Meta is
39:10 doing. Meta sort of fell off the planet
39:12 with this stuff.
39:14 But Google, Anthropic, Open AI, um isn't
39:19 there another one? Perplexity,
39:21 but but all of the other ones
39:24 have Manis, Genpark have all
39:28 dramatically deepened their ability to
39:31 do research. Perplexity from the
39:33 beginning was like this weird
39:34 combination of a large language model
39:36 and a Google search. It was like good at
39:39 research and it would package it up well
39:41 and it would write it well. So if you
39:43 want to do research, Perplexity is still
39:45 really good. I'll tell you what I'll do.
39:47 I'll hop over there right now.
39:50 Um, and I will
39:53 just sort of play knowing perplexity.
40:00 Um, knowing that I haven't played here
40:02 in a while and so the interface is
40:04 likely different than what I remember
40:06 and where stuff is. I know the last time
40:08 I came here I tried to find something
40:11 specific and I could not.
40:14 Spaces discover library.
40:18 Okay,
40:28 so that's
40:31 that must be deep research.
40:36 Create files and apps. Turn your ideas
40:38 into docs, slides, dashboards, and more.
40:43 50 queries remaining this month. Oh,
40:45 that's kind of cool. All right. So,
40:46 let's So, so let's try this. This is a
40:50 new feature. I think they could do this
40:51 before, but they've elevated it.
40:54 So, this means set the sources for the
40:57 search.
40:59 So, one of the things you can do on
41:01 perplexity is you can you can say I just
41:04 want you to search Wikipedia or I just
41:06 want you to search my Google drive. In
41:07 this case, you can connect your Google
41:09 Drive.
41:11 Um, and there's other connectors. So, so
41:13 that's a cool thing you can do. You can
41:15 attach files, you can do dictation, you
41:17 can talk to it. Plan latest news. Okay.
41:20 So, so it's just like chat GBT, but I
41:22 think what we're going to do is I'm
41:23 going to say make me
41:27 um a presentation
41:31 on the history of Legos
41:36 and the
41:38 significance
41:42 of the new smart brick.
41:47 that was
41:50 uh announced at CES 2026
41:58 and that I would argue Johnny D is a
42:02 really shitty prompt
42:05 presentation
42:07 missing a T. By the way, if you're new
42:10 to AI, typos don't matter anymore. You
42:12 can just these things just understand
42:13 everything we do. You can you can have
42:16 you can have 20 typos in a sentence and
42:18 it'll figure it out. I don't know how
42:19 well I know how it does it, but it's it
42:21 still blows my mind that it does it.
42:23 Okay. Um I would argue that that's a
42:25 shitty prompt. One if you're if you're
42:27 new to this AI stuff, one of the one of
42:29 the ways to get mediocre
42:32 um hallucinationfilled
42:36 answers is to give shitty generic
42:38 prompts. Perplexity is actually pretty
42:40 good at taking a shitty prompt and doing
42:43 some thinking through it. It's one of
42:44 the things they've always been good at.
42:46 That's a place where I think the other
42:48 models have caught up. So, that's why I
42:50 don't use this as much, but let's see
42:51 what it does.
42:53 All right. I will research Lego's
42:55 history via web searches and a detailed
42:57 CES 2026 smart brick thing. Okay, there
43:00 it's starting to code our presentation.
43:04 Um, if if you want to learn uh you know,
43:08 coding, here's some HTML. I think it's
43:10 writing some CSS CSS action right now.
43:13 >> [laughter]
43:14 >> You can watch it code. If you've never
43:16 seen one of these things code before,
43:18 that's pretty cool. Pretty cool watching
43:20 them do that.
43:23 Um I can we close this? I assume we can
43:26 close this. Oh, look.
43:30 Okay, let's see.
43:39 Okay, that wrote the text. But Jesus,
43:41 that's bad. Where is the
43:45 How do I
43:48 Let me close that.
43:51 Um the presentation uses um this
43:54 presentation
43:58 has no research.
44:01 It might Oh, no. It does 15 sources. So,
44:04 there's 15 sources here. So, let's see.
44:07 This presentation has no images or
44:11 visuals.
44:12 for one of the most
44:16 visually compelling
44:20 um products
44:26 in history
44:28 do better. Um you can yell at your LLMs.
44:32 In fact, knowing what you want and
44:36 guiding your LLM to give you better
44:38 answers is part of the magic of how you
44:40 do it. What are your thoughts on
44:42 probabilistic pattern predictions?
44:46 Um, I I don't know a lot about the math
44:49 uh of this stuff. Um,
44:54 so I don't like I I don't know. I I
44:58 don't have a good answer for that.
45:03 I know that I know that we're living in
45:06 a time now where a lot of people are
45:10 interacting with AI expecting it to be
45:12 probable probabilistic.
45:15 Um, and it's not. It's it's G. It's
45:18 generative. It's generating this stuff
45:20 based on probabilities of thousand
45:23 dimensional mathematical latent space.
45:26 Um, and I think because it's so good at
45:28 what it does, people think that it's
45:30 copying and pasting and it's more
45:31 probabilistic than it is and they get
45:33 really frustrated when it's when it's
45:35 not. Um, okay. This added some images.
45:39 This is I find this really
45:41 disappointing. Um, let me show you
45:43 something. Okay, we're gonna we're going
45:45 to run down a quick rabbit hole here.
45:48 Uh, and then I'm going to get back to my
45:50 work because because I have work to do.
45:53 Okay, copy. We're gonna go to GenSpark.
45:58 If you haven't been to GenSpark,
46:01 I'm gonna take the same prompt,
46:03 GenpSpark AI,
46:06 and I'm going to go to AI slides.
46:14 And I'm going to paste in that
46:17 exactly as I did before. And I'm going
46:19 to turn this thing loose.
46:25 Um, there's no such thing as a quick
46:27 rabbit hole. Shut up, source camp.
46:30 [laughter] Shut up. Shut up. Okay.
46:33 Presentation. So, one of the things that
46:35 you'll notice in GenSpark is it uses
46:37 tools. Using the tool presentation. So,
46:39 it's setting up a presentation space
46:41 using the tool deep thinking. It's doing
46:44 some research. Using the tool
46:46 presentation, it created an outline or
46:49 it's creating an outline. Um, so we'll
46:52 see what this does. We'll see if if this
46:54 gives us better design and if it uses
46:55 any images. It'll be fascinating to see.
47:18 [clears throat]
47:31 You can I see I I see you're wanting to
47:33 do some some political advocacy stuff.
47:35 It looks like Johnny D. I mean I like I
47:37 would experiment with it. I would go to
47:40 like don't just rely on a single tool.
47:43 Do it in Perplexity. See how well
47:45 Perplexity researches it. Throw Chat GPT
47:47 in deep research mode. see how it does
47:49 it. Do the same thing in Claude. Do the
47:51 same thing in Gemini. Look at how all of
47:53 them do it. One of the one of the things
47:55 we talk about in the AI salon is what we
47:57 call the cycle of AI readiness. And the
48:00 first step of the cycle of AI readiness
48:02 is play first. Second one is create
48:04 excellence. The third one is generously
48:06 lead. So what that would look like in
48:08 your case is you say, "Okay, I want to
48:10 do some some advocacy or whatever. Um
48:13 some politicking." Um
48:15 >> hey Kyle, that was on me. It's it's
48:17 actually legal briefs. I I read his
48:19 initial comment wrong.
48:20 >> Oh. Oh, it's lot
48:21 >> trying to understand legal briefs.
48:23 >> But even even the same thing even even
48:25 with something like like legal briefs
48:26 like go play with different tools and
48:29 see which one does better because what
48:34 [sighs and gasps]
48:37 I'm confident of right now is that any
48:40 of the major tools and I would consider
48:42 perplexity one of the major tools. Any
48:44 of the major tools
48:46 are good enough. right now to probably
48:48 do 90% of what you want them to do,
48:50 probably exceed your expectations. So,
48:53 they're all really, really good. But
48:55 what's going to happen is you're going
48:56 to find that, oh, Claude, the way Claude
48:59 writes or the way it constructs
49:00 arguments or the way Gemini does what it
49:02 does, that's how I think. There's going
49:04 to be one of them that has a personality
49:06 that's more in line with who you are.
49:08 So, the the most important thing is
49:11 center yourself first. Don't worry which
49:14 tool. figure out what you want to do and
49:17 start with that and then go play with a
49:19 bunch of different tools and in doing
49:21 that you'll learn some things. You'll
49:23 probably find one that does it really
49:24 well and then you can sort of run down
49:26 that and that's where you move into that
49:27 second stage of create excellence.
49:29 That's where you're going to refine and
49:31 curate and do all that sort of happy
49:32 horseshit. Um and then generously lead
49:37 is about getting yourself in a community
49:40 like the AI salon and sharing what
49:41 you're learning. Hey, I went to do this
49:43 thing. Here's what I learned. here's
49:44 what it did. All that sort of stuff. So
49:46 cool.
49:48 All right. Fantastic.
49:50 Um, so this is this is making a deck. It
49:53 it at least tried to do visuals here. So
49:55 I think what I'm going to do is stop it
49:58 and I'm going to say um your slides are
50:02 boring.
50:04 There are incredible
50:07 um Lego images you could be creating.
50:14 Um, so let's not be lazy, shall we?
50:19 [laughter]
50:22 [gasps] Let's see how it responds to
50:24 that.
50:26 Um,
50:28 upgrade the deck visual impact by adding
50:31 high quality Lego images. It's doing
50:33 image searches.
50:36 So, boom. Look, it went and found a
50:37 bunch of images.
50:40 And this is the thing that Perplexity
50:42 used to be really good at. Perplexity
50:43 used to be awesome at this. It just kind
50:45 of automatically did it. So I don't know
50:47 why it's not now.
50:51 And this didn't default to it either.
50:53 But anyway, so I guess it's going to
50:54 it'll go add [ __ ] into the into the
50:57 presentation. So we'll come back to
50:59 that. Okay. Let me let me go get back to
51:01 my work. Just Hey, Brandon, remind me to
51:03 come back to um Gen Spark. Look look at
51:06 our Lego deck later.
51:09 Later. And so it begins. Uh the DC fly
51:12 in
51:15 um
51:18 kicks off today
51:22 exclamation point point. If you've ever
51:25 wondered what hosting a flying looks
51:26 like, it's basically equal parts
51:28 choreography, emok em emotional
51:29 steiness, and making sure no one ends up
51:31 in the wrong building. Here's what Daisy
51:33 Thomas and I will be. Here's where we'll
51:36 be plugged in.
51:38 Capital
51:40 briefing. [clears throat] Capitol Hill
51:42 briefing. I'm just going to say noon.
51:46 New Tik Tok question. Edom, when do you
51:49 think AI is coming where I just tell it
51:51 what to do? Okay, that's an awesome
51:53 question. I'll take a detour for this
51:55 one.
51:57 And I know I just took a detour for
51:58 another one. And some of you might be
51:59 saying, "But Kyle, you're not doing your
52:01 work. Is this really what a daily
52:03 practice looks like?" And you're
52:05 correct. This is not what a daily
52:07 practice looks like. Shut up.
52:11 Um,
52:13 it is my firm belief having been inside
52:18 this conversation for three years that
52:21 2026 is the first year that we we see
52:24 the beginnings of that what you're
52:25 asking. Last week,
52:29 I mean this week, today's Friday. This
52:31 week, the CEO of Cursor,
52:35 um, I forget his name, Steven something,
52:38 the CEO of Curser made a post that they
52:41 they put GPT 5.2 Pro inside Cursor and
52:48 they said, "Write me a web browser from
52:51 scratch."
52:53 And it worked for a week straight.
52:56 with no breaks, needed no human
52:58 interaction for a week straight,
53:00 and it um wrote more than three million
53:04 lines of code across thousands of files.
53:07 It wrote its own rendering engine, and
53:10 basically at the end of the week, they
53:12 had a functional web browser. It still
53:14 had problems. It wasn't perfect, but
53:18 um
53:20 a week straight. Um, [clears throat]
53:22 also this past week there's there are
53:25 these
53:27 1500 math problems called I don't know
53:29 how to pronounce it. I think it's the
53:32 erdos problems that are basically
53:33 unsolvable math problems by this
53:36 mathematician
53:38 from I don't know 19th century I don't
53:40 know sometime back I don't I don't know
53:42 math so [laughter]
53:44 so I'm not good with numbers
53:48 um but three of them were solved by chat
53:51 GPT 5.2 2 Pro in three days. Three of
53:54 them were solved and verified by the
53:57 mathematicians that run that thing.
54:02 732,
54:04 728, and 729 or something like that.
54:08 Um
54:13 yesterday I had an idea for a marketing
54:16 campaign for my company StoryVine
54:20 and I had about a 45 minute window
54:22 between two meetings and I thought huh
54:25 wonder how far I can get in 45 minutes.
54:28 I came up with a creative brief and
54:31 about I don't know 50 different social
54:34 media execu executed graphics
54:38 um that were on brand on message um and
54:41 basically usable like I I launched
54:45 that marketing campaign the same day I
54:47 made it. Um
54:50 so so we're we're we're right on the
54:52 cusp of that territory. Um, if the
54:55 question is when are when are we going
54:57 to be able to just turn it loose and sit
54:58 back and and let it go? Probably 3
55:01 years. But I think we see in 2026
55:05 someone's going to create an agentic
55:07 tool that's so good that that [laughter]
55:10 everyone goes, "Oh shit."
55:15 I think that's this year. Okay. Capital
55:18 Hill briefing noon. Uh I'll open with
55:22 welcome remarks to
55:26 to the
55:28 founders of the startups
55:33 that will be speaking
55:37 to
55:40 Congressional
55:46 and Senate
55:49 staff. F
55:55 the Abundance Institute.
55:58 Uh
56:00 oh, wait. This is Oh, this Okay, wait.
56:03 This is Wait, this one goes
56:08 Oh, this one goes Tuesday. Oh, and so it
56:10 begins.
56:12 No, it doesn't. Kicks off tomorrow.
56:14 Let's see. And uh So, so this is
56:16 completely wrong. Um, what
56:23 happens
56:26 tomorrow
56:28 at the
56:30 DC fly in
56:35 I had my days a little confused and
56:38 twisted.
56:40 [clears throat]
56:41 [singing]
56:43 If you ever wondered about hosting
56:44 fluence, basically go here's what? Let's
56:47 see. Let's see. Here's what Daisy
56:50 said. Okay. So, so this is just going to
56:52 be
56:54 um
56:56 today is a Damn it.
57:03 Today
57:05 is a travel day
57:09 where
57:12 Daisy Thomas
57:16 and the
57:19 AI founders
57:22 head to our
57:26 nation's
57:29 capital
57:34 [clears throat]
57:39 other Then
57:41 hydrating.
57:46 There's
57:49 not a lot for us to do
57:55 though. We will probably
58:00 grab
58:02 a nice meal.
58:10 and connect. Okay, let's change this to
58:17 heading two. Um, let's see. Here's
58:23 what's
58:26 coming up tomorrow.
58:30 Let's make this a heading three.
58:35 >> [clears throat]
58:36 >> M
58:41 capital briefing
58:46 welcome reception evening
58:52 capital briefing.
58:55 Leave the discussion.
59:15 So that's that and then this change
59:18 style heading two
59:21 breakfast [clears throat] and meeting
59:22 prep.
59:35 We all meet at a
59:40 nice townhouse
59:44 right near
59:47 the right near Capitol Hill.
59:51 Might even be on Capitol Hill.
59:54 uh and have breakfast
59:57 and get our
1:00:01 specific assignments
1:00:04 for the day.
1:00:09 [sighs and gasps]
1:00:11 [clears throat]
1:00:13 John Potter
1:00:15 will moderate
1:00:19 round table with
1:00:21 Congress
1:00:34 representatives.
1:01:07 >> [clears throat]
1:01:08 >> Looks like y'all are having good
1:01:09 conversations with one another.
1:01:11 Fantastic. Do that. Amazing. Have a
1:01:14 wonderful trip. Thank you so much,
1:01:16 Sawyer. I appreciate that. Sawyer Stash.
1:01:20 Um, beautiful, beautiful, beautiful,
1:01:22 beautiful. Okay. meetings in
1:01:24 congressional and Senate offices.
1:01:28 >> Uh where
1:01:29 >> Hey Kyle,
1:01:32 >> um
1:01:33 >> I hate to interrupt your regularly
1:01:35 scheduled broadcast of the AI learning
1:01:37 lab,
1:01:38 >> but I just happened to notice that we
1:01:41 unexpectedly got 41 people on Twitter
1:01:44 out of nowhere. So figured we might want
1:01:46 to pause and tell the good folks at home
1:01:49 who we are and what we do here.
1:01:50 >> What the what the hell's going on? Well,
1:01:52 hello there everyone who's [laughter]
1:01:54 who who just popped in from Twitter. Uh
1:01:57 my name is Kyle Shannon. This is the AI
1:01:59 learning lab. Um it's Friday night date
1:02:02 night. Uh I go live five nights a week
1:02:05 uh talking about AI and life and other
1:02:08 things like that. Um I treat these
1:02:10 sessions as part of my AI my daily
1:02:13 practice where I'm learning and figuring
1:02:15 out how to use AI. I've been doing this
1:02:18 two and a half years now. Um, and the
1:02:22 whole purpose of this channel is to
1:02:26 explore what's possible with AI, use AI
1:02:28 to amplify ideas that I'm doing,
1:02:31 projects I'm working on, um, explore new
1:02:33 things, answer questions. So, if anyone
1:02:35 has questions, I'm happy to answer them.
1:02:37 Just pop them in the comments and they
1:02:39 show up for me and for producer Brandon,
1:02:42 who you just heard. Um, if you're not a
1:02:46 member of the AI salon, go check out
1:02:48 community.thesalon.ai.
1:02:51 Um, you land on a welcome page and it
1:02:54 talks about our cycle of AI readiness
1:02:55 and there's a page there with our values
1:02:57 on it. Um, it's a community of about
1:03:00 4,000 AI optimists who are all, um,
1:03:04 putting humans at the center of the
1:03:06 conversation and using AI as an
1:03:09 amplifier of our ideas. Uh, as opposed
1:03:12 to, you know, battling with AI or trying
1:03:14 to compete against it. Uh, I think
1:03:16 that's a losing cause. Um, I think
1:03:19 that's how a lot of people think about
1:03:21 it that AI is this thing that we've got
1:03:22 to beat somehow. We're not going to.
1:03:26 Um, if you flip your perspective and say
1:03:29 that that the actual most important part
1:03:31 of the um, interaction with AI comes
1:03:35 from us, that we're at the center, then
1:03:38 what it forces you to do is be a bit
1:03:40 more intentional about how you use AI
1:03:44 because you start to ask questions like,
1:03:46 well, who am I? What do I value? Um,
1:03:51 who's important to me? What are the what
1:03:53 are the ways I want to impact them?
1:03:55 Right? What are the ways I might want to
1:03:57 change things? Do I want to improve my
1:03:59 family? Do I want to make something
1:04:00 really cool for my kid? Like a like
1:04:02 producer Brandon uh spends a lot of time
1:04:06 using AI to make remarkable things for
1:04:08 his children, books and songs and games.
1:04:11 And he lets them kind of have this the
1:04:13 agency to imagine whatever it is they
1:04:16 want to imagine and then he helps guide
1:04:18 them through using AI to take their
1:04:20 ideas and bring them to life. And it's
1:04:22 absolutely remarkable. And so it's a
1:04:25 community of people who um we've got
1:04:28 this thing called the cycle of AI
1:04:30 readiness which is play first, create
1:04:32 excellence, and generously lead. You
1:04:35 just keep repeating that. And play first
1:04:37 looks like just go play with AI without
1:04:40 expectations. Just go play with AI.
1:04:45 And and in doing that, what you're going
1:04:47 to discover is that AI can probably do
1:04:50 something that you didn't even know was
1:04:51 possible, but that you're really excited
1:04:54 about. You're like, "Oh, I that's
1:04:56 amazing. I'm going to I'm going to run
1:04:57 down that rabbit hole." And then you'll
1:04:59 go play with another one, and you'll run
1:05:00 down that rabbit hole. And in doing that
1:05:02 playing, you'll start to figure out
1:05:04 where the edges are of the technology
1:05:06 and and what you can do with it. And
1:05:08 then you can start to do things like,
1:05:10 huh, I've got this specific problem at
1:05:12 work and now that I've seen how these
1:05:14 tools work, maybe I can solve that
1:05:16 problem at work or maybe I can solve
1:05:17 that problem with my family or the
1:05:19 community center or whatever it is.
1:05:21 Doesn't matter. Take some problem and
1:05:23 try to solve it with AI. And then
1:05:25 generously lead is about sharing what
1:05:29 you're learning in the journey like
1:05:30 being in the community of the AI salon.
1:05:32 We've got these things called LOL's,
1:05:34 learn out louds, where you can sign up
1:05:36 with Vicky Baptist or with Brandon. Uh
1:05:39 he can he can connect you with Vicki if
1:05:40 she's not here tonight, but I think she
1:05:42 is. Um where if you want to teach the
1:05:45 community something, you can just sign
1:05:47 up for an hour and just teach them
1:05:48 anything you want for an hour, two
1:05:50 hours, whatever, whatever your tolerance
1:05:51 is for for teaching things. And so we're
1:05:54 constantly challenging one another and
1:05:56 questioning one another and asking
1:05:58 questions of one another and taking what
1:06:00 we're learning and sharing that with
1:06:01 other people because what I can promise
1:06:05 you is that there is no
1:06:08 there's no physical way
1:06:11 with our brains to keep up with the pace
1:06:13 of AI. It is by far accelerated past
1:06:18 what you can keep up with. So there's no
1:06:20 way you can actually learn it because
1:06:21 it's too vast, it's too big, and it's
1:06:23 moving way too fast. But what you can do
1:06:25 is you can be in a community of people
1:06:26 that are all curious about this stuff.
1:06:28 And all of the people with all their
1:06:30 different points of view are going to
1:06:31 use different pieces of the puzzle. And
1:06:33 so you'll get to experience a lot more
1:06:35 of what's possible. So I think being in
1:06:38 community as AI gets increasingly
1:06:42 capable and it will take jobs
1:06:45 being in a community and getting your
1:06:47 head around what this stuff makes
1:06:48 possible and how you can use it to
1:06:51 amplify your ideas. I think that's a
1:06:53 survival mechanism. Vickiy's here. Where
1:06:56 else would I be? [laughter]
1:07:02 That's awesome. Anyway, welcome. And so
1:07:04 what I'm doing right now is next week
1:07:06 the AI salon we're we're hosting uh a
1:07:09 Washington DC flyin where we've got I
1:07:13 don't know 13 or 14 AI startup founders
1:07:16 coming into DC. We're doing roundt
1:07:19 discussions. We're doing um talks on on
1:07:23 Capitol Hill in the Senate and the White
1:07:25 House. um and um just telling stories
1:07:29 about how we're all using AI and how
1:07:33 it's changing things. Um, this is the
1:07:36 third one that we've done. And what I've
1:07:38 learned in doing these is that the thing
1:07:42 I thought was sort of the least
1:07:46 I thought when I went to DC initially
1:07:50 that it was my job to sort of figure out
1:07:52 the legislation and figure out the
1:07:55 become a politician, right?
1:07:58 And that's not it. What I've what I've
1:08:00 learned is that our legislators, the
1:08:04 only thing they're hearing from their
1:08:06 constituents about AI for the most part
1:08:09 is AI is evil. AI is going to kill us.
1:08:11 It uses too much electricity. It's the
1:08:13 world's greatest plagiarism machine.
1:08:14 It's just it's just all this negative
1:08:17 like all these negative tropes coming at
1:08:19 them. And so they're in this very
1:08:21 defensive position. they're in this very
1:08:23 defensive posture like you know must
1:08:27 protect against AI.
1:08:29 What we do in these flyins is we're
1:08:31 coming in in a proactive way. We're not
1:08:33 coming in there to say hey you need to
1:08:36 vote you know X Y or Z on this bill.
1:08:40 We're coming in to say, "Hey, we're a
1:08:42 group of founders and individuals that
1:08:47 are using AI to amplify our businesses,
1:08:50 amplify ourselves, and what we can do."
1:08:54 And here's the difference it made in our
1:08:56 lives. And here's the difference it made
1:08:57 in the lives of the the people of the AI
1:08:59 salon.
1:09:01 And
1:09:04 what what blows my mind is that
1:09:11 first it's like a sense of relief on the
1:09:13 staffer's face. Like we're not coming
1:09:15 there to kick their ass. We're like
1:09:17 there just to educate them and just say,
1:09:18 "Hey, have you thought about the
1:09:20 opportunity side of this AI thing and
1:09:22 the individuals and the small companies?
1:09:24 Because I know you're worried about all
1:09:25 the big companies, but you know, there's
1:09:27 a bunch of us out here trying to make
1:09:29 this stuff work." Um, and the other
1:09:31 thing is that those individual stories
1:09:33 make a real difference. It really opens
1:09:35 up the eyes of these legislators to say,
1:09:37 "Huh, we got to think about this
1:09:38 differently." So, it's very much a
1:09:40 relationship building trip and and
1:09:42 that's next week. So, I'm really excited
1:09:43 about it. Okay.
1:09:46 [clears throat]
1:09:50 YouTube comment. [laughter] Praise the
1:09:54 Lord for AI.
1:09:58 Yeah. And if anyone has any questions,
1:10:00 feel free to pop them in the chat. Uh,
1:10:01 I'm just working on on some posts.
1:10:05 8 a.m. 2:30. Okay. meetings with
1:10:07 congressional and senate offices or AI
1:10:09 startup founders will um
1:10:14 speak with staff members about their
1:10:19 experiences with AI and build
1:10:24 relationships
1:10:26 [clears throat]
1:10:28 and offer
1:10:31 to be part of the conversation.
1:10:36 um in the future. And that's what what
1:10:40 what this what this really is about is
1:10:45 at some point some legislation is going
1:10:47 to come in front of these legislators.
1:10:50 And they're going to um
1:10:52 they're going to say, "I got to talk to
1:10:54 someone who knows what they're doing."
1:10:55 Oh, you know what? Those people from the
1:10:56 AI salon, they seem to know what they
1:10:58 were doing. Let me let me reach out to
1:11:00 them. And they'll reach out to their
1:11:01 staff and they'll go, "Who' we talk to
1:11:02 from the AI salon?" Oh, you talk to
1:11:04 these two startup founders and the the
1:11:06 guy that runs it. So, Tik Tok comment.
1:11:09 Uh, let's see. AI is good if it's free
1:11:15 on the same level as govern. Yeah, Eden.
1:11:17 Yes, but in bad hands, it will do more
1:11:19 harm than any good. Well, Edom, listen.
1:11:24 There there is like any technology like
1:11:27 right now with nonAI technology, there
1:11:30 are bad actors and there are good
1:11:32 actors. There are black hat hackers and
1:11:34 there are white hat hackers.
1:11:36 That dynamic doesn't change with AI. And
1:11:39 yeah, I agree. There are people that can
1:11:41 do
1:11:43 bad things with AI, but there are also
1:11:46 people that look for those people that
1:11:48 also have access to AI. What we're
1:11:50 focused on here is not the theoretical
1:11:53 what could happen if. Here's here's my
1:11:56 philosophy on this stuff.
1:12:01 I don't know a lot of things in this
1:12:02 world.
1:12:04 The one thing that I am about 99.999%
1:12:08 sure of is that AI is not going away.
1:12:13 And so
1:12:16 if that's true, I and I could be wrong,
1:12:19 but I have never in my life seen so much
1:12:23 investment and so much acceleration
1:12:26 um and so much profound power
1:12:29 delivered in a in a short amount of time
1:12:32 as I have with AI. And you know, chat
1:12:36 GPT going from zero users to 800 million
1:12:38 users in essentially 2 years, 2 and a
1:12:41 half years is unprecedented.
1:12:44 This the speed of that adoption. So it's
1:12:46 not going away. So if it's not going
1:12:48 away, then we have two options.
1:12:50 Two,
1:12:53 you can sit on the sidelines and go,
1:12:55 "Bad [ __ ] could happen. That shouldn't
1:12:56 happen." And not deal with it. Or you
1:12:59 can deal with it.
1:13:02 And what dealing with it looks like in
1:13:04 my opinion is learn as much as we can
1:13:06 about what it actually is, not what the
1:13:08 tropes tell us. Learn how it works.
1:13:11 Learn what it's good at. Learn what it's
1:13:13 not good at. Learn how that how you can
1:13:16 take these tools and fill in gaps that
1:13:18 you might have in your life. Like I
1:13:20 don't have a good enough attention span
1:13:23 to do coding.
1:13:26 I'm great conceptually, but the minute I
1:13:28 get into the code, it makes my head
1:13:29 [ __ ] explode and I hate it. So, I can
1:13:32 now take AI and I can fill in that gap.
1:13:36 That's absolutely remarkable.
1:13:39 But I would never know that that was
1:13:40 possible if I'm just sitting on the
1:13:42 sidelines bitching about what might
1:13:44 possibly happen.
1:13:46 That's out of your control. It's out of
1:13:48 my control. What's in your control?
1:13:51 What's in your control and what's in
1:13:53 every one of our control on this call is
1:13:55 that we can say, "I'm going to take
1:13:57 responsibility for me. I'm going to make
1:14:00 sure that I maintain my agency as a
1:14:02 human being
1:14:04 to understand what these tools make
1:14:07 possible,
1:14:08 understand who I am, what my values are,
1:14:11 and the difference I want to make in the
1:14:12 world. And then I'm going to use these
1:14:16 profoundly powerful tools at my
1:14:19 discretion to do the [ __ ] I want to do.
1:14:24 That seems like a much better path to me
1:14:26 than sitting on the sidelines and
1:14:27 letting this thing slap you upside the
1:14:29 head because it's going to like it's
1:14:31 coming whether we want it or not. So,
1:14:34 this channel is about well, let's play
1:14:37 with what's in our control and let's
1:14:40 think about it critically and let's talk
1:14:42 about the [ __ ] that's not good and let's
1:14:43 talk about what the dangers are, but
1:14:45 let's also look at what it makes
1:14:47 possible and let's look at what we can
1:14:50 do in our lives with it. So preach
1:14:52 reverend Kyle [laughter]
1:14:54 worth mentioning chat GBT better memory.
1:14:57 Oh okay. Um while I'm off on a tangent
1:15:00 here um if you want to go check out uh
1:15:02 chat GPT especially if you're
1:15:04 international if you're if you're um
1:15:06 from from elsewhere in the globe than
1:15:08 the states. Um Chat GPT has a plan
1:15:11 called the go plan which is $8 a month.
1:15:14 So, for $8 a month, you get a decent
1:15:17 amount of the paid features and you get
1:15:19 it so that they're not training on your
1:15:21 data, which that's an important thing.
1:15:24 Um, that's now expanding globally.
1:15:28 Um, they also just made some changes to
1:15:31 memory. They they improved memory. So,
1:15:33 memory used to be able to sort of
1:15:35 remember your past year or so of
1:15:37 conversations. It now apparently is your
1:15:40 entire memory. Um, and it's apparently
1:15:43 gotten better. So, I don't know. I
1:15:44 haven't played with it at all yet. And
1:15:46 there are some new personality options
1:15:47 and settings. I'm not going to go play
1:15:49 with them because maybe I'll do it next
1:15:51 week. No, I'm going to be in DC next
1:15:53 week. I don't know when I'm going to do
1:15:54 it. I'll I'll play with it and let you
1:15:56 know at some point. Um, but it might be
1:15:58 worth going to play with. The other
1:15:59 thing if you did not if you were not
1:16:01 here for AI Festivus
1:16:04 on December 26th and 27th we did this
1:16:07 event called AI Festivus where we had 48
1:16:11 speakers. It was some ridiculous amount
1:16:13 of speakers 42 or 48 speakers um 12
1:16:17 hours a day uh for two days talking
1:16:20 about AI and and what you can do with it
1:16:23 and what they're doing with it and
1:16:25 teaching things. We had a preview of a
1:16:27 musical that I wrote about AI. Um, if
1:16:31 you want to um, see those sessions, you
1:16:34 can get the deluxe replay bundle of
1:16:38 those sessions and a whole bunch of
1:16:40 things that goes with them like the
1:16:41 transcripts and notebook LM uh,
1:16:45 presentations and um, Jellypod podcasts
1:16:49 of each presentation. There's all this
1:16:51 stuff you get. So, if you go to
1:16:52 aifestivist.com,
1:16:54 you can buy the replay bundle for 27
1:16:57 bucks. It's like the It's like the best
1:16:59 the best deal. Uh it's the best deal the
1:17:02 side of the POS. [laughter]
1:17:05 Did your Gen Spark finish? Let's go see.
1:17:08 I asked I asked GenSpark to make me um a
1:17:12 Lego presentation. Did it do it? Is this
1:17:16 it? Oh,
1:17:19 let's see. What did it do?
1:17:29 Yeah, it did it. All right. View
1:17:31 [clears throat] and export presentation
1:17:34 view.
1:17:38 So what I asked this is a presentation
1:17:42 about
1:17:43 45 minutes ago. I went into GenSpark and
1:17:47 I gave it a shitty prompt. I said,
1:17:50 um, build me a presentation on the
1:17:54 history of Legos.
1:17:56 Um, and and talk about the significance
1:17:58 of the new smart brick that was
1:18:00 announced at CES
1:18:03 from wooden toys to connected
1:18:04 creativity. And then it made the first
1:18:06 pass it made, it was just visually
1:18:08 horrible. And I said, "Go find Lego
1:18:10 images and make it prettier." And so
1:18:13 this is what it made. So I I have you
1:18:15 and I are seeing this at the exact same
1:18:17 time.
1:18:20 Okay,
1:18:23 that looks nice. Nice start.
1:18:26 Origins from wood to brick 1932. Kirk
1:18:30 Olirk
1:18:32 founds billand workshop. Lego name
1:18:35 officially adopted factory fire and
1:18:37 reconstruction. Patent 1958 patent for
1:18:40 studen tube coupling. Well, this is
1:18:43 cool. And look, the little mini figs
1:18:46 behind the behind the the things. So,
1:18:49 Duplo Technic minifigure 1980 Lego DACA
1:18:54 educational division 1998 Mindstorms
1:18:57 video games era 2008 Lego Cuso. I don't
1:19:01 even know what that is. Pilot program in
1:19:03 Japan allowing fans to submit designs
1:19:06 for official sets. That's cool. LEGO
1:19:09 Ideas, Community Scale, Connected Play
1:19:12 2017, Lego Boost 2019, Powered Up 2019,
1:19:16 Spike Prime, Hidden Side, Mindstorm
1:19:19 Ends,
1:19:21 the iconic robotics brand is retired.
1:19:24 Huh?
1:19:26 2026 CES reveal the Smart Brick. What is
1:19:29 it? It's a unified screenfree
1:19:32 intelligent core that brings physical
1:19:34 builds to life. Designed to merge
1:19:36 coding, sensing, and play without
1:19:39 complex app dependencies.
1:19:43 That's so cool. What's it got? An
1:19:45 accelerometer, light sensing, sound
1:19:47 sensor, speaker and synth, wireless
1:19:49 charging,
1:19:56 education, storytelling, accessibility,
1:19:58 platform, strategy, one brick, limitless
1:20:01 worlds. Smart brick isn't just for toys.
1:20:04 It's a universal interactive core.
1:20:08 Risks and guard rails
1:20:10 adoption path
1:20:13 from studs to systems.
1:20:16 Only the best is good enough.
1:20:20 H. There you go. That's it. Not bad.
1:20:24 It just went off and did that. And these
1:20:27 are all HTML. You can see all the all
1:20:29 the code of them here. Like every slide
1:20:31 is an HTML design.
1:20:35 [clears throat]
1:20:36 Wild.
1:20:37 Wild. It's wild and wacky. Wild and
1:20:40 wacky stuff. Okay. Finish your loop.
1:20:42 Yeah, exactly. Okay. Meetings in
1:20:45 congressional and Senate offices. Okay.
1:20:49 I'll also be with the group
1:20:51 >> [clears throat]
1:20:51 >> uh doing the White House commerce
1:20:53 meetings.
1:21:06 I'll be with the group. [snorts]
1:21:10 [gasps]
1:21:11 This group make the round. That doesn't
1:21:13 matter. [sighs]
1:21:18 uh
1:21:20 doing similar education and
1:21:26 Q&A sessions
1:21:31 with White House staff.
1:21:36 We're bringing builders. We're bringing
1:21:38 nuance. We're building creators
1:21:43 and builders.
1:21:46 We're bringing um authentic voices
1:21:51 and we're bringing the AI salon
1:21:54 uh we're bringing
1:21:57 the [clears throat] AI salon
1:22:00 um
1:22:04 human
1:22:06 centered optomystic optoistic
1:22:13 ethos into rooms.
1:22:15 that usually don't get any of it.
1:22:23 Um, our stories matter a lot
1:22:28 and
1:22:33 this trip will have an impact.
1:22:40 Uh, [clears throat]
1:22:42 I'll sign my name.
1:22:46 because this is from me. Okay. So, this
1:22:49 is for Tuesday.
1:22:51 I think that's good. I'll go I'll go
1:22:53 proofread these before they go. So,
1:22:56 we're going to do 6:30 a.m.
1:23:04 on Tuesday the 20th.
1:23:08 Schedule post notify everyone. Okay.
1:23:12 Beautiful.
1:23:14 That's fantastic, Bob.
1:23:17 Really good. This is really good stuff.
1:23:21 It's solid. It's really good. It's
1:23:23 really solid stuff.
1:23:27 Fantastic.
1:23:30 All right. So, back here and we're in
1:23:33 salon announcements and we're going to
1:23:35 create an article.
1:23:38 Astroade.
1:23:39 Umhuh.
1:23:42 [sighs]
1:23:44 Uh uh.
1:23:46 Maybe I guess I could finish these
1:23:48 tomorrow.
1:23:50 [clears throat]
1:23:51 What time is it? All right. You want to
1:23:52 end with some fun? [laughter]
1:23:55 I've been This has been a a nonfocused
1:23:58 day.
1:24:02 Today is the day. This has been a
1:24:05 non-focused practice day. That's okay.
1:24:09 Um,
1:24:13 Mimi and I were playing hookie for a
1:24:15 bit. Sorry. You You two scoff laws.
1:24:20 You You know You know you're going to
1:24:21 get demerits, right? You can't get too
1:24:23 many AI learning lab demerits. Bad
1:24:25 things happen. Bad things happen.
1:24:29 [snorts]
1:24:30 You can't be late.
1:24:32 You can't play hookie. You can't play
1:24:34 hookie.
1:24:36 [laughter]
1:24:37 They were probably off building some
1:24:39 cool [ __ ] Okay. All right. D Fly Day.
1:24:42 Here's what we'll be focused on start to
1:24:44 finish. Helping founders show up as
1:24:45 humans.
1:24:47 Um
1:24:51 using AI to make a [clears throat]
1:24:54 difference
1:24:58 for themselves
1:25:02 and
1:25:06 their companies.
1:25:09 Let's say for themselves,
1:25:13 their communities
1:25:16 and [clears throat] their companies
1:25:31 make this error. They're trying to make
1:25:33 and trying let's see not as not as
1:25:36 lobbyists not as hype machines people bu
1:25:39 building real products seeing
1:25:43 real tradeoffs and trying
1:25:53 and
1:25:56 leveraging
1:25:58 [clears throat]
1:25:59 AI I
1:26:03 as a regular
1:26:05 part of their
1:26:10 daily work and practices.
1:26:22 Oh, okay. That's cool. That's a good
1:26:23 idea. All right. So, we'll come back to
1:26:25 this.
1:26:27 All right. So, we're going to go we're
1:26:28 going to go play a little.
1:26:32 Where I'm going to go is this thing
1:26:33 called Astrocade, which if if you
1:26:35 haven't seen it, it's kind of cool. a
1:26:38 astrocade.com.
1:26:41 So, here's all these video games,
1:26:48 right? Just like, you know, like any old
1:26:50 sort of, you know, crappy uh what what
1:26:53 do they call casual games? Casual
1:26:55 gaming.
1:26:58 And so every one of these games, let's
1:27:00 see, play it. Hit play. Level one. Uh,
1:27:06 I guess I have to Okay, I sort of see
1:27:08 what's happening here.
1:27:11 I got to I got to mine diamonds and kill
1:27:13 the zombies.
1:27:16 Oh, choose skill. Uh, we'll go
1:27:20 that one. [laughter]
1:27:28 All right. So, anyway, so that's a game
1:27:31 and I maybe it's got sound, maybe it
1:27:32 doesn't. I don't hear anything right
1:27:34 now, but this is just like lovable where
1:27:36 not only can you play the games, you can
1:27:38 go make your own. All right, so we're
1:27:40 going to say um I want a game
1:27:46 like um
1:27:50 uh what's the one called Angry Birds? on
1:27:53 a game like Angry Birds,
1:27:57 [laughter]
1:27:59 but where you
1:28:03 shoot the furry animals
1:28:08 into
1:28:10 someone
1:28:15 else's.
1:28:17 Um,
1:28:22 let's see.
1:28:23 board game [laughter]
1:28:26 and mess it up.
1:28:31 [laughter] All right, we'll let that it
1:28:34 might ask me some questions here. So,
1:28:37 one one of my favorite ways to test AI
1:28:40 things like this is give it really
1:28:42 stupid prompts and see how it does it.
1:28:45 Furry fiasco. Launch an adorable
1:28:47 physicsdefying furry creature. Wait.
1:28:50 Launch adorable physicsdefying furry
1:28:53 creatures from a slingshot onto an
1:28:56 opponent's digital board game, aiming to
1:28:58 knock over their pieces and cause
1:29:00 maximum mayhem. Strategically choose
1:29:02 your angle. Okay. Hilarious physics. A
1:29:06 variety of fun. Here's a mockup. Um,
1:29:09 sign in to create. Oh, damn it. Uh, sign
1:29:12 in with Google. We'll do single sign in.
1:29:14 This is free, by the way.
1:29:24 Did it remember? Okay, this is a good
1:29:26 thing. One of the thing, one of my pet
1:29:28 peeves is these companies will do this
1:29:30 where you start a process and then
1:29:32 they're like, "Oh, sign in to to
1:29:34 continue and you sign in and it
1:29:36 remembers all the [ __ ] you, it forgets
1:29:38 all the [ __ ] you typed in." Uh, this
1:29:40 didn't do that. So, that's a good sign.
1:29:42 Okay. So, this is now going to make our
1:29:44 game. We'll come back to this. So, this
1:29:45 is vibe coding where I gave it a shitty
1:29:48 prompt about a shitty game idea and
1:29:50 let's see if it makes this a playable
1:29:52 game. Okay, let me go back and finish my
1:29:54 uh this is my Wednesday uh post.
1:29:59 Today is the day. All right, DC flyin
1:30:01 day. Um here's what I'll be focused on
1:30:04 start to finish, helping founders show
1:30:06 up as humans using AI and make a
1:30:07 difference for themselves, their
1:30:08 communities, and their companies. not as
1:30:09 lobbyists, not as hype machines, but as
1:30:12 people building real products, seeing
1:30:13 real trade-offs, and leveraging AI as a
1:30:15 regular part of their daily work and
1:30:17 practices. Um,
1:30:20 people don't need to know the times
1:30:22 we're doing [ __ ]
1:30:25 Breakfast.
1:30:27 Breakfast at Junction Beastro.
1:30:32 I'm just going to say breakfast.
1:30:36 Oops.
1:30:48 Capitol Hill briefing.
1:30:51 We'll just say at noon
1:30:57 briefing
1:31:00 and round table.
1:31:04 Oh no, this is uh this is not a round
1:31:07 table. This is a
1:31:09 Capitol Hill briefing and moderated
1:31:13 discussion.
1:31:16 I'll give opening remarks.
1:31:21 The Abundance Institute will lead the
1:31:23 discussion and we'll open it up to the
1:31:25 Hill staff to
1:31:28 Capitol Hill staff.
1:31:31 Okay.
1:31:34 Welcome reception.
1:31:37 That's silver lion. I don't know. I
1:31:40 think I'll just say welcome reception
1:31:43 in evening.
1:31:46 Daisy and I welcome everyone. Connect
1:31:48 the dots across the group and set the
1:31:50 tone for Thursday's meetings.
1:31:52 The AI salon doesn't expect to be in the
1:31:54 conversation. We exist to make the
1:31:56 conversation better. That's horshit.
1:31:58 We're going to get rid of that.
1:32:01 All
1:32:11 right. Um [clears throat]
1:32:17 um
1:32:24 this first day is where we
1:32:28 really get to know one another and talk
1:32:33 about our past
1:32:36 experiences
1:32:38 with this kind of work.
1:32:42 And
1:32:44 um
1:32:48 relax
1:32:50 before an intense
1:32:55 day
1:32:58 coming up.
1:33:05 No rest for the wicked.
1:33:10 exclamation point. Kyle Shannon. Okay,
1:33:14 there's that. And then we're going to go
1:33:16 schedule post.
1:33:19 Oops, I just hit save drafts. So, we're
1:33:21 going to go to drafts.
1:33:25 We're going to go edit. Wait,
1:33:27 [clears throat]
1:33:29 we're going to go in here. We got to add
1:33:30 a picture to this one. So, this is the
1:33:32 opening day one.
1:33:35 So, we'll do
1:33:43 Did I use that one yet?
1:33:49 I think I did.
1:33:53 No, I used that one.
1:33:56 All right, I'll use that one.
1:33:59 I don't think I've used this one. If I
1:34:00 have, we'll have to go change it.
1:34:03 All right. Save.
1:34:07 Today is the day. Um, today.
1:34:17 Can I edit this stuff? Yes.
1:34:20 Today
1:34:22 [clears throat]
1:34:28 it begins.
1:34:34 the DC
1:34:36 flyin.
1:34:38 That is
1:34:41 [laughter]
1:34:43 all right. Schedule post. So, this is
1:34:46 going to be on Tuesday, no, Wednesday
1:34:51 21st. We're going to do this at 6:30
1:34:53 a.m.
1:34:57 Schedule post. We're going to notify
1:34:59 people. Beautiful. Fantastic.
1:35:02 Fantastic. Let's go look at our
1:35:04 scheduled posts.
1:35:06 Oh, I didn't I didn't do a graphic for
1:35:10 this one. That's bad. Edit.
1:35:12 [laughter]
1:35:14 And nobody yelled at me. Nobody's paying
1:35:16 attention because we're not paying
1:35:17 attention to you, Kyle. This is
1:35:19 relatively uh I
1:35:22 would it be rude for me to say boring?
1:35:25 [laughter]
1:35:28 We'll do that one. That one's That one's
1:35:30 pretty funny. Okay,
1:35:40 network error. Thanks, Mighty Networks.
1:35:44 This is This is really one of the better
1:35:45 experiences I've had using really
1:35:49 expensive cloud-based software.
1:35:54 Okay, beautiful. Fantastic.
1:35:58 Save.
1:36:00 Wait. Members opted into receiving a
1:36:03 daily. No.
1:36:06 Reschedu post.
1:36:09 Schedule posts. Notify. Okay.
1:36:14 So, yes. So, we've got that graphic.
1:36:17 We've got that graphic. We got that
1:36:18 graphic. We got that one. So, it begins.
1:36:21 We got the little constellations.
1:36:23 Beautiful. And then we got one more.
1:36:25 Let's just get it done. Let's knock it
1:36:27 out. and then we're [ __ ] done.
1:36:31 All right, let's see. This is where it
1:36:34 gets real.
1:36:36 Okay, fantastic.
1:36:40 I'm going to copy this. We're going to
1:36:42 go over to the AI salon.
1:36:45 I don't know if you've ever been to the
1:36:46 AI salon, but if you go, it's an awesome
1:36:48 place. There's a awesome people in here.
1:36:51 They're really good. They're really
1:36:53 smart. They're super sweet. You should
1:36:56 see the people in here. They're just
1:36:57 awesome.
1:36:59 I don't know if you've been in here, but
1:37:00 you should be in here. Why are you not
1:37:02 in here?
1:37:04 This is where it gets real. I wonder
1:37:06 where everyone from Twitter came from.
1:37:10 Do you ever figure that out, producer
1:37:12 Brandon?
1:37:15 [clears throat]
1:37:17 Today is the full-on work day.
1:37:21 Sure are a quiet bunch. Well, the thing
1:37:24 about Twitter,
1:37:26 the thing about Twitter is that when
1:37:29 they add to our view count, if they
1:37:32 leave, it doesn't reduce the view count
1:37:35 by one. So, it just keeps ticking up.
1:37:38 So, part of why they might be quiet is
1:37:40 they might not be here. They might have
1:37:42 stumbled in here and gone, "Who's this
1:37:45 guy?" Nah.
1:37:48 [laughter]
1:37:54 >> [laughter]
1:37:56 >> All right. All right. All right. All
1:37:59 right. All right. Robert Rossy's here.
1:38:03 Okay. Today's the this kind of day where
1:38:05 AI policy stops being a headline and
1:38:07 becomes a hallway conversation. A small
1:38:09 conference room with staffer with three
1:38:11 minutes between boats and a founder
1:38:13 trying to explain without turning it
1:38:15 into theater. Ah.
1:39:23 And why
1:39:26 ledge is slators
1:39:31 must
1:39:33 balance
1:39:39 up
1:39:43 must balance
1:39:45 um pro protect protecting
1:39:49 us from risk
1:39:53 with
1:39:56 access
1:40:00 to
1:40:02 opportunities
1:40:04 AI provides
1:40:06 to
1:40:08 startups
1:40:10 and individuals.
1:40:13 Okay.
1:40:16 Um
1:40:18 We can do this
1:40:20 like that.
1:40:40 And
1:41:46 I'm going to come back and edit this
1:41:47 one. I'm not happy with this one, but
1:41:49 I'm too tired tonight to edit it. But
1:41:50 let me go find a picture for it.
1:42:00 I think it's that one.
1:42:04 Yeah, that's the one.
1:42:09 Okay. Oh, god damn it. Come on, man.
1:42:16 Third time's the charm.
1:42:20 There we go.
1:42:22 All right,
1:42:24 we're going to schedule this bad boy
1:42:29 for Wednesday. No, this is Thursday
1:42:34 at 6:30 a.m. [clears throat]
1:42:44 notify.
1:42:47 And then we should see if we go to
1:42:48 scheduled posts,
1:42:51 we've got
1:42:54 tomorrow's Saturday. So, there's
1:42:55 Saturday, Sunday, Monday, Tuesday,
1:42:59 Wednesday, Thursday.
1:43:02 Beautiful. That is done. It's I've I've
1:43:05 got a couple of loops to close. Like,
1:43:06 I've got to go edit. Some of these have
1:43:09 just got shitty AI writing in them that
1:43:11 I got to go take out and fix. Um, but
1:43:15 they're not horrible. Like, if they go
1:43:16 out as is, you know, I can I can live
1:43:19 with it. But they're not going to. Um,
1:43:22 but they're scheduled. They're in loop
1:43:24 closed.
1:43:26 Beautiful. Okay. Now, while I'm here,
1:43:29 where did we put that community feed,
1:43:32 Brandon?
1:43:34 Yes.
1:43:37 Okay.
1:43:40 So, here's what I'd like. It's Oh, it's
1:43:42 salon announcements.
1:43:45 [clears throat]
1:43:47 I don't think so.
1:43:52 No, it's community feed.
1:43:55 Hello saloners. As you know, we might be
1:43:57 going there.
1:43:59 Please share a personal story of how AI
1:44:00 has changed your life. Okay, so go to
1:44:03 the AI salon. There's 22 of you in here.
1:44:06 There's some amount of you over on on
1:44:08 the YouTube side and the Twitter side.
1:44:10 Go to the AI salon in the community
1:44:12 feed. The first post there says, "Hey AI
1:44:15 saloners, as you may know, Daisy Thomas
1:44:16 and I are hosting a Washington DC flyin.
1:44:19 What I'd love to do is to have you go in
1:44:22 here and share your story of how AI has
1:44:24 changed your life in some way. Okay? So,
1:44:28 made a difference for you and your kids,
1:44:30 made a difference at work. You didn't
1:44:31 get laid off because you have been, you
1:44:34 know, generously leading with this AI
1:44:36 stuff. Um, do me a favor.
1:44:40 [clears throat]
1:44:40 Take this as weekend homework as, um,
1:44:44 you know, keep up with with the posts
1:44:46 that I've scheduled. Um, you know, I
1:44:49 will I will also be posting them on
1:44:51 LinkedIn. Um, and uh and and just, you
1:44:55 know, wish us luck in DC next week, but
1:44:57 over the weekend, if you could share
1:44:59 your story next week for the live
1:45:01 because I'm going to be in DC. It's
1:45:03 probably going to be a very disrupted
1:45:05 week. I'll be going live Monday night.
1:45:09 I'll be traveling Tuesday night. I've
1:45:12 got a reception
1:45:15 Wednesday night.
1:45:18 So, I may or may not go after that. Then
1:45:21 Thursday is the big heavy day and then
1:45:24 I'm traveling Friday. I might be live
1:45:26 Friday, but I might not. I don't know
1:45:28 when I get in. So, um so next week's
1:45:30 going to be very disjointed. So,
1:45:33 [laughter]
1:45:34 this is this is what you get. Uh I'll
1:45:37 see I'll see you Monday, but everyone
1:45:38 have a good weekend and uh I I hope you
1:45:42 have a have a good one. All right. Best
1:45:43 of times. Great. Hey, wait. Don't leave.
1:45:46 >> Don't leave. Okay.
1:45:47 >> Astro.
1:45:48 >> Oh,
1:45:49 >> see your game.
1:45:50 >> Astroade. Let's see. Oops. It looks like
1:45:53 there's a mistake. Fix it. [laughter]
1:46:00 Is it fixing it? All right.
1:46:04 [clears throat]
1:46:05 Thank you for that. I totally would have
1:46:06 abandoned it. [laughter]
1:46:20 All right, retry next level.
1:46:26 It's not working.
1:46:29 Um, I can't shoot anything.
1:46:34 The pieces just fall. Tick that
1:46:37 question.
1:46:40 the Ace Wheelie. Got any tips on how to
1:46:42 get around Claude's message limits? I
1:46:44 hate waiting. No, I don't. Listen, um,
1:46:48 all of these tools have have their
1:46:50 foibless.
1:46:51 CL Anthropic, I don't know what the [ __ ]
1:46:54 is going on with Anthropic. Like, it's
1:46:56 it's clearly just a cost thing. They're
1:46:59 not burning through money as quick as
1:47:02 Open AI is. They haven't raised as much.
1:47:04 So, I think it's just their way of of,
1:47:07 you know, surviving. Um, but it's really
1:47:10 if like what I hear from people is they
1:47:12 love Claude. They love Claude from for
1:47:15 coding. They love Claude for writing and
1:47:18 they're absolutely [ __ ] frustrated
1:47:20 with the with the rate limits on Claude.
1:47:22 I don't know of a good answer to it. You
1:47:25 can up your subscription to the max
1:47:28 subscription, but I think even that one
1:47:30 [ __ ] rate limits out. So, got nothing
1:47:32 for you. [laughter]
1:47:36 I got nothing. Kyle, you need either
1:47:39 metag glasses or a GoPro to let us go to
1:47:42 DC with you. Yeah, I really should I
1:47:44 really should get some sort of live
1:47:46 streaming glasses. Shouldn't I get get
1:47:50 tackled by by security and all these
1:47:53 bellies? Are are those glass those glass
1:47:55 have cameras in them? Our sensors are
1:47:57 detecting there's some signals coming
1:48:00 out of your head, sir.
1:48:02 [laughter]
1:48:05 Oh man, I split the work with chat GPT
1:48:08 and claude. That's the only way I know
1:48:10 to do it is just, you know, use chat GPT
1:48:13 for organizing tasks or basic tasks and
1:48:17 then, you know, limit your use over in
1:48:19 Claude. Uh, I don't have a good answer
1:48:22 for that one. That's a that's a that's
1:48:23 just that's just shitty shitty
1:48:25 management on their part because there's
1:48:28 a lot of complaints about that that I
1:48:29 hear.
1:48:34 Oh, Cam's watching. Hey, Cam. How you
1:48:36 doing? Cam Ken from Cleveland. Um, I
1:48:40 know you you checked in. Checked in. Um,
1:48:43 good. Well, good to see you and and I'm,
1:48:45 you know, I'm glad you're here. I hope
1:48:47 you do well and uh yeah, I'll be in DC
1:48:50 next week, so um it's going to be a
1:48:52 little disjointed here, but you know,
1:48:54 check in on the salon um and let us know
1:48:57 how things are going. Yeah, I know. I
1:48:58 know, Joy. Um, yeah. I hope it I hope
1:49:03 everything goes really well. Really
1:49:04 well. All right, everybody. I'm out of
1:49:07 here. Have a fantastic weekend. Please
1:49:09 go share your story of AI impact over in
1:49:11 the AI salon. That would be great if you
1:49:14 did that