2/25/2026 - Designing an Autonomous AI Agent with Personality and Long Term Memory

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Transcript

0:06 Champy.
0:10 Oh.
1:02 There's been something, baby, I've been
1:05 trying to
1:08 for an age and it seems I don't know how
1:15 past and a future now surrounding me.
1:21 Surrender to a liberty still can't be
1:23 found.
1:26 There's been a little trouble
1:29 since you came to my rescue.
1:36 And if you like all of the rest, I would
1:39 quit you long ago, but I couldn't do
1:43 that.
1:47 Oh, tell me now.
1:55 Make a man crazy. Make him cold as hell.
2:00 Make them
2:03 on a woman that you wish me well.
2:07 But I'm spotty trying. Still going to
2:10 have to find my way through.
2:32 Come on, boy.
3:07 So, I spent what's today? Wednesday.
3:11 I had a Today at work was a wild day.
3:14 Three pitches. Um, so that was that's
3:17 good. Having pitches in business is
3:19 good.
3:21 um did three pitches.
3:24 I had two impromptu client meetings.
3:26 Hey, can you just hop on a call real
3:28 quick? There's like 10 people on there
3:29 talking about
3:32 whatever [ __ ]
3:38 What else did I do? I don't know. Some
3:41 other calls. Did some work. Got some
3:43 things done.
3:45 Got some things not done. had an idea to
3:48 start a new article about Adam, my my
3:51 Claudebot, my first Claudebot.
3:57 He was offline today, but he's back now.
4:00 He's using Sonnet 4.6. I feel so I feel
4:04 so
4:06 I'm so fancy. I'm so fancy. Well, Adam's
4:09 so fancy.
4:26 I realized something about how I work.
4:30 Is it Is it that you wear sunglasses?
4:33 Maybe part of your challenge is you
4:34 can't see the screen. Have you ever
4:36 thought about that with your with your
4:37 fancy sunglasses there? Maybe that's
4:39 part of the challenge. You know, you're
4:41 inside, right?
4:43 Yeah, but I'm playing a guitar,
4:46 so I'm trying to look like a rock star.
4:49 Granny,
4:52 I don't know why she's up my butt.
4:55 I'm trying to be a rock star over here.
4:57 Hey, Joy Pretty, what's happening? Encou
5:00 encourage your viewers to share your
5:02 live. Hey, viewers, will you share my
5:05 live?
5:07 Danielle.
5:19 Danielle reposted. Danielle shared. She
5:21 knows how to do this. She's good at
5:23 this. Welcome back. I haven't seen you
5:24 in a bit.
5:56 Um,
5:59 so what we're going to do tonight,
6:03 I've been here every night. Oh, just not
6:05 chatty. Oh, cool. Well, it's good to see
6:07 you again.
6:09 I am glad you're back in the back in the
6:13 land of the visible. I was missing you.
6:16 Hey, you don't have to chat. If you're
6:18 here, cool.
6:29 Um, I got the um I don't know if I
6:33 mentioned this, but when I when I did
6:35 the Great Repurpose and I made the Great
6:37 Repurpose music video,
6:40 that stupid [ __ ] song, it's not a
6:42 stupid song. I like that song. That song
6:46 has been stuck in my head for two and a
6:48 half weeks. It It was out yesterday.
6:54 I woke up this morning. It was back in,
6:56 but it didn't last.
6:58 So,
7:00 so I'm I'm I'm tempted to play it again,
7:04 play the video again just just to see
7:07 see if my brain has successfully purged
7:10 it or if it's just going to start it
7:11 over again.
7:31 Um, let's let's tempt the fate, shall
7:33 we? Here, I'll take off my stupid
7:35 glasses.
7:36 I actually like those glasses. I don't
7:38 think they're stupid. I think like I
7:40 look like a rock star. Tik Tok pin
7:43 source camp. I showed chat GPT and
7:46 notion a client who had never seen any
7:50 of it.
7:53 Wow. I had a great talk today. source
7:56 camp uh with uh with uh oh my god,
7:59 what's his first name?
8:07 Robert.
8:09 Robert and I had a great talk
8:13 and um loved him and we talked about all
8:17 the stuff he was doing and how you
8:19 discovered him and uh HT Snowday who is
8:22 going to speak next Tuesday uh can't do
8:24 it. I found out this morning he can't do
8:27 it. So I said, "Hey, Robert, what are
8:29 you doing next Tuesday?" So Robert is
8:32 going to be our uh our special guest on
8:34 on Yield uh uh AI Salon Presents. So I'm
8:39 I'm really excited about it.
8:47 And I think that's the first person
8:48 you've ever sent me like that, Kelly.
8:50 You were like, "This guy's really good."
8:51 So
9:06 walk desperately hating his his old
9:10 place. I'm discerning. Yeah, it's good.
9:13 It's really good.
9:18 Seemed discover his waitress
9:23 desperately hitting his whole place.
9:25 Seemed discover a new space and buried
9:28 himself alive
9:30 inside his basement some of his basement
9:34 working away on displacement. What it
9:36 would take to survive
9:41 when you're done with this world.
9:46 You know, the mix is up to you.
10:18 Oh, I didn't say what I thought we were
10:20 going to do tonight. Here's what I think
10:21 we're going to do tonight.
10:23 I have not been a very good AI learning
10:26 lab leader and and been obsessively
10:30 checking out X for the past week.
10:34 Um, and producer Brandon, bless his
10:37 heart, has been just sending me event
10:41 after event or like announcement after
10:43 announcement. So, I got a lot of stuff
10:44 to look at. Um, but I thought it might
10:47 be interesting just to go see see what
10:49 we see, see if there's anything fun and
10:51 interesting out there and then go play
10:52 with some stuff
10:54 in the spirit of play. Play first.
11:10 Hey, you want to hear something funny
11:11 about my brain? Sure, Kyle. Go ahead.
11:15 You're the only one talking.
11:27 I'm such an idiot sometimes.
11:33 Welcome to my comedy show where I'm the
11:36 audience and the whole show is about
11:39 whether or not I can make myself laugh.
11:41 And I did.
11:44 Can we even stop him? No, you can't.
11:48 What was I gonna say? I don't even know
11:49 what I was going to say. Can I tell you
11:51 something? Oh, how my brain works. So So
11:55 I don't know if you know this. Like
11:56 three weeks ago came up with this thing,
11:57 the great repurpose. I made a song. We
11:59 made a website here. We're going to
12:00 market the [ __ ] out of it. We're sending
12:03 out notes. People are It's just It's
12:05 [ __ ] awesome, right?
12:08 So, I I reach out to Dan Murray, who
12:11 runs the Rocky Mountain AI interest
12:12 group, because I thought, wouldn't it be
12:14 cool to go give a talk up there, and I'm
12:18 historically kind of bad at asking for
12:21 [ __ ] for myself? Because I had that
12:22 little voice in my head. It's like, they
12:24 really don't want to hear from you. And
12:26 what I've realized is they actually do
12:27 want to hear from me and they always
12:29 have. And so, so I thought, I know, I'll
12:33 reach out and this will be awesome. And
12:36 he was like, [ __ ] yes, bring it on.
12:40 We we picked a tenative date. And he
12:42 goes, "Let me check with our
12:45 speaker coordinator,
12:49 see if you're good."
12:50 And then he texts me back, uh, aren't
12:54 you already scheduled to speak at the
12:56 Rocky Mountain AI interest group? And I
12:58 was like, uh, am I?
13:05 And I'm looking at my emails. There's
13:07 nothing. There's nothing in my [ __ ]
13:09 brain. I'm like, did I? And then I kind
13:12 of vaguely remember, wait a minute, did
13:14 someone reach out to me on LinkedIn? And
13:17 I go to LinkedIn and sure enough there's
13:19 a whole conversation with me and a woman
13:22 from Rocky Mountain AI interest group
13:24 which is probably the woman he reached
13:25 out to who said like uh is this guy for
13:28 real? Like we're already scheduled in
13:30 April. Tik Tok pin. I'm sending this
13:33 website out far and wide. The great
13:35 repurpose do it. Go go go the
13:37 greatrepurpose.com. If you haven't seen
13:39 it, go see it and go take the uh the
13:42 profile. So the profile
13:45 um it assigns you a great repurpose
13:48 type. So we take all of your inputs and
13:50 we map them against 10 different types.
13:53 I think I'm a catalyst.
13:56 The proper response is thank you.
14:05 So anyway, so I had to I had to write
14:08 back to to uh to Dan Murray and say,
14:11 "Yeah."
14:16 So I won't be talking about The Great
14:17 Repurpose. I'll be talking about
14:19 storytelling because that's what I
14:20 agreed to. So we'll find another
14:24 we'll find another place to talk about
14:26 Great Repurpose.
14:33 Erica Hana in the house. What's shaking?
14:36 What's shaking, lady? Welcome, welcome,
14:39 welcome.
15:02 It's not simple.
15:06 It's not simple to say
15:10 the most.
15:13 I don't recognize me. The these shoes,
15:16 the these shoes, the these
15:20 shoes and this apron that place and its
15:24 patrons
15:26 have taken more than I gave them.
15:30 It's not easy to know
15:34 I'm not anything
15:37 like I used to be. Although, does anyone
15:40 else feel like the hype around everyday
15:42 eye has cooled off?
15:45 But for AI, business is just getting
15:47 started.
15:50 Um,
15:54 for the first time, Steo, I feel like
15:58 the
16:01 the hype has shifted into
16:05 kind of phase two.
16:07 So, I'll give you the phases for the
16:09 worldwide web. the the phases for the
16:11 worldwide web 95 and 96 I was 94 95 96
16:17 was you were early nobody really knew
16:20 about it the people that knew about it
16:22 were like batshit crazy on it so I feel
16:25 like this community and you know anyone
16:29 in this group that's been hanging out
16:31 for three years was kind of like that um
16:36 mid97
16:38 like the just there started to be stupid
16:40 [ __ ] Like I think early 97 was one of
16:42 the first Pets.com or the was the monkey
16:46 sock the pets.com sock I don't know like
16:48 whatever the stupid [ __ ] Super Bowl
16:50 commercials were for.com [ __ ] started in
16:53 97. Um and then the hype in 97 grew and
16:57 so I feel like we we're kind of entering
16:59 that right now. So, I think there's
17:04 I think the everyday AI stuff. Why it
17:07 feels like that's cooled off is that the
17:10 hype right now is around things like
17:12 OpenClaw and and these significantly
17:15 better coding models that are that are
17:17 now coding like a 100% of anthropics
17:20 codebase is now being done by these
17:23 advanced models. So, I think the the
17:25 audience shifted a bit for the for the
17:27 core use case of that.
17:32 I still think businesses have their
17:33 heads straight up their asses.
17:36 Um, I have I have not seen anything
17:39 indicating that that uh the businesses
17:41 are getting their [ __ ] together on this
17:43 Tik Tok pin. I don't see one
18:00 I'm looking at Tik Tok. Oh, there we go.
18:02 Joy Party, my brain is off. Been awake
18:05 since 2 p.m. yesterday. Good lord. Are
18:07 you editing? Are you in the middle of
18:08 movie making and you just lost your mind
18:12 or or do you have some sort of fever?
18:14 Everything okay? Do we need to send
18:16 soup?
18:21 Oh, you probably had a sleep study.
18:30 No, just work. Um, okay. Sorry about
18:33 that. I always forget. You got to You
18:36 got to stay awake and watch people
18:38 snore. I have a feeling I would be a
18:40 fantastic study for you.
19:23 How's the musical, Kyle? The musical is
19:27 good. The producers that I'm working
19:30 with, one of them went out of town for
19:33 like a month and a half, so it kind of
19:34 stalled. Andrew and I were working on
19:36 rewrites, new images for the podcast.
19:42 Um,
19:44 they're back.
19:46 We've got some plans. Um,
19:49 nothing I can talk about right now.
19:51 Nothing good enough to talk about right
19:52 now. Um, but but we're back in back in
19:55 conversation. So, it's moving. Um,
19:59 got some good news about uh some legal
20:02 stuff about it today, which is great.
20:06 Um,
20:10 you were bragging about it to a friend
20:13 of mine who loves Suno the other day.
20:15 Oh, that's so cool. Nice. Some comments
20:18 in this live were filtered to protect
20:20 the community's experience. You naughty
20:23 naughty people.
20:25 I'm sure you were just saying bad things
20:26 about my hairline.
20:29 What What the [ __ ] is up with my hair?
20:34 That's It's almost like I tried that. I
20:36 didn't.
20:40 Yeah. No, I went in. He seemed pretty
20:42 nice. His There was a There was a hair
20:44 situation. It was I couldn't tell if it
20:47 was a a wig, but then I thought, well,
20:50 if it's a wig, why would someone choose
20:52 to put that on their head? And then I
20:54 thought, is does he own a mirror?
20:57 YouTube comment.
21:08 Is my assistant failing you to help keep
21:10 you organized and check your email? Yes.
21:14 Well, my assistant So, listen.
21:19 I I [ __ ] up.
21:22 What's Is isn't that a meme? The I
21:24 [ __ ] up meme. I [ __ ] up. Is it Brad
21:27 Pitt from some movie? Um,
21:32 I told Adam, so Adam's my new Cloudbot
21:35 chatbot dude. I told Adam to check my
21:38 email every 5 minutes, so he did, and he
21:41 blew through all my credits for my for
21:45 my uh OpenAI subscription.
21:48 But he um
21:51 he's he was back I I turned it back on
21:53 today and and that actually worked. But
21:56 chat GPT 5.3 that you use out of codecs
22:00 sucks. Like it's the writing sucks. The
22:03 how it makes documents sucks. It's bad.
22:07 So what I've heard is that Sonnet 4.6
22:10 from Anthropic is cheap. Cheapish. It's
22:13 still really expensive. It's cheapish
22:16 and it's much much better. So we're
22:17 going to play with that for a little
22:18 while. So yes, my atom my atom failed
22:22 me.
22:24 It's all of us from every movie. I
22:26 [ __ ] up.
22:36 Yeah, sometimes
22:39 I just like [ __ ] around on the
22:40 guitar.
22:47 So, I got home at 4:30 today, started
22:49 playing with Adam.
22:52 I got him hooked up to Anthropic. I got
22:55 him hooked up to Gemini. So, so I've now
22:57 got what's called a fallback in Atom.
23:01 Um, and a fallback is if I'm using
23:06 Sonnet
23:08 uh 2.5
23:11 or I mean 4.6. If I'm using Sonnet 4.6
23:14 as his little brain and I run out of
23:16 tokens there, it will fall back to
23:20 Gemini. Gemini Flash.
23:23 And if that screws up, it'll fall back
23:24 to OpenAI. And if that screws up, it'll
23:28 fall back to the local LLM, which is
23:30 really slow. So, I've got four layers of
23:33 fallback. So, he shouldn't die anymore.
23:36 How cool. You You're using Claudebot? I
23:38 am. I've been away too long. What in the
23:42 alternate reality is this dumb question?
23:44 If he's checking your emails, what's he
23:46 doing? Sending you summaries, replying.
23:48 Yes. So, okay. So, so this is really
23:50 cool. Okay. Okay. Now, I'm really
23:52 excited. I can tell you about all the
23:53 things I'm doing. My my friend Adam,
23:57 we're having internal dialogues about
23:59 should Adam be able to reach out without
24:00 telling someone he's an AI. Um, should
24:03 he be out able to reach out at all? But
24:05 I'll tell you what I'm doing. So, here's
24:08 here's the thing. So
24:11 the the research here is to
24:18 learn enough about this thing that I can
24:21 reasonably install this on like get a
24:24 new Mac Mini and install this for my
24:26 business story. So we're using it for
24:29 the AI salon. And so we've got Andy and
24:32 Brandon are both, you know, doing stuff
24:35 for the salon and and like a lot of the
24:37 stuff they're doing is repetitive stuff.
24:38 Like if we do an AI salon presents
24:41 thing, someone's got to take the Google
24:44 video that's produced, download it, do
24:47 whatever you do with it, upload it to
24:49 the mighty networks, just all the [ __ ]
24:51 you got to do, right? Every everything
24:53 has got 27 steps to it. So So
24:57 I got Claude access. He's he's got his
25:00 own email account.
25:03 You can email him if you want. I could
25:04 give you his email. Um and he's got
25:08 access to Google Drive. Now, I don't
25:10 think we have the security locked down
25:12 on that well enough yet, so we've got to
25:14 be careful, but you know,
25:18 I'm sure Google Drive has some sort of
25:19 backup.
25:22 Gifts from Steo and Frostbitten on
25:24 TikTok. Thank you so much.
25:26 Um, so, so how you talk to him?
25:36 I just, I just got a call from a
25:39 toll-free free free number. Ramoto Foods
25:42 is voluntarily recalling select lots of
25:44 Yakuri chicken fried rice. Okay. All
25:48 right. No salmonella in this house.
25:52 Um,
25:54 so,
25:57 so I talked to him in Telegram. So, so
25:59 the way you set these things up is you
26:01 can talk to him in WhatsApp, Telegram. I
26:03 think you can do IME messages. You can
26:05 talk to him in all sorts of places. Um,
26:09 I chose Telegram because I've got a
26:10 couple of I've got a couple of chats on
26:12 WhatsApp, couple of groups that I
26:14 actually care about, and I don't know
26:16 how good his boundaries are. like can he
26:19 jump into other chats and just start
26:20 chatting with people? I actually don't
26:21 think he can. Um but it's still like so
26:25 I don't use Telegram. So we popped him
26:27 over to Telegram. So that's where I'm
26:29 talking to him. Um
26:32 I've said that if he gets an email from
26:35 Andy or Brandon at the AI salon, he can
26:38 do what they ask him.
26:40 He said, "I'm going to have a two-layer
26:43 um sort of approval thing that if what
26:46 they're asking for is just basic stuff
26:48 like emails, document creation,
26:50 analysis, things like that, I'll just do
26:52 it. But if if if either of them asks
26:56 Adam to say like, "Drain the bank
26:58 account and buy me some sweet ass
27:00 crypto," I'll come to you for that. So
27:03 So that was part of it. But when I first
27:06 set him up, he wasn't being proactive.
27:08 there's a thing you have to turn on that
27:10 allows him to to act autonomously. So,
27:13 he was just acting like a chatbot for a
27:15 while. And I wanted to I I wanted to see
27:18 if he if I could actually get him to be
27:20 proactive. And then and then I was like
27:23 I wanted to see for the first couple of
27:25 days like how if Brandon and Andy or
27:29 Brandy if Brandy were emailing him and
27:34 and he was doing things I wanted him to
27:37 tell me about it. And so I said, "Well,
27:39 just check it every five minutes and
27:40 then give me a report." And so, and then
27:43 I had a six-hour block of time where
27:46 yesterday where I was just working
27:47 without a without a break. And I and I
27:50 get back and I go to look at Adam and
27:52 he's just been he's been rate a API rate
27:55 limited out for like two hours. Like he
27:58 made a request. I can't fulfill that
28:00 request. You're out of tokens. You're
28:01 out of tokens. You're out of tokens. So
28:03 that was two days ago. Yesterday I just
28:05 didn't deal with him. And today I I I
28:07 came home early. I got him back running
28:08 again. So he's back. Um, but it's wild,
28:12 Erica, or anyone that's listening. Um,
28:15 like here's one of the things that's
28:17 different about it.
28:19 The way you set it up, there's two
28:21 files. There's a user.md file. MD just
28:24 stands for markdown. It doesn't matter.
28:26 It's just a text file. There's a user
28:28 file and there's a soul file. S O L.
28:31 Like the soul. Like we have a soul. Um,
28:35 Brandy cute. I know, right? Exactly.
28:40 Um,
28:42 in the user file you put like all the
28:44 [ __ ] about you. Here's what Kyle's
28:45 likes. Here's what he doesn't. Here's
28:46 the project he's working on. Here's his
28:48 company. Here's just all the [ __ ]
28:52 The soul file is
28:56 his soul or her soul. It's soul.
29:00 And
29:02 you put in there, it's it it's it's a
29:04 system prompt, right? But it's called a
29:07 soul file. And so I kind of discovered
29:09 this parallel between how I create
29:11 myself and how I created this bot. So
29:14 it's what's fascinating about it is
29:16 you're actually designing
29:20 the human characteristics of an entity
29:23 you're going to interact with. So I
29:25 chose to make him I was working with
29:26 chat GBT to help me write the soul file.
29:29 And chat GPT Quinn made the decision
29:31 that the first bottom
29:34 um should be a mirror of me. So, it
29:37 should be someone that's very familiar
29:39 to me, have my same sense of humor, have
29:41 my same philosophy, things like that.
29:43 You could absolutely design it to be the
29:44 opposite of you or to be just someone,
29:46 you know, completely different or
29:47 someone very specific. I think
29:50 storytellers like Erica, for you in
29:52 particular, storytellers are going to
29:55 have a blast
29:57 designing these things because think
29:59 about it. If you think about writing, if
30:01 you think about characters,
30:03 you think about the stories,
30:06 we now get to design those characters
30:08 and then [ __ ] interact with them and
30:10 they can do [ __ ] for us. So anyway,
30:14 within about half an hour of interacting
30:18 with him, you know, he was like he was
30:20 like, "Well, here's all your projects
30:21 and here's where I'm going to store
30:23 them." and and and
30:27 he he said um
30:31 he said, "What are your top three
30:33 priorities?" And I and I was like, "Oh,
30:35 I don't know." So, I came up with the
30:37 top three pri priorities. And he's like,
30:38 "Got it. Those are stored. I wrote those
30:40 into memory." Um and and now now he
30:43 knows my top three priorities and he
30:46 knows my projects. And at one point,
30:48 this was before I had him connected to
30:49 the web. Like when you install these
30:52 things, it's just sort of one layer at a
30:53 time. It's like get him active, get him
30:56 connected to Telegram, get him connected
30:58 to the web. Like everyone's a [ __ ]
31:01 layer and like every layer is an abject
31:03 nightmare to set up. Um, when can I be
31:06 buy a preconfigured one at Micro
31:08 MicroEnter? Um, probably soon. Probably
31:12 by the end of the year. Someone's going
31:13 to start that business.
31:15 You have learned a ton in a week. Is
31:17 Adam calling you? He's not calling me
31:19 yet. I haven't set up. So that's one of
31:21 the things I want to do is I want Adam
31:23 to go out and get us a Twilio phone
31:26 number and and you know hook up 11 Labs
31:29 voice so we can talk. Um but I'm also
31:32 being really careful with him. I'm
31:34 trying to do all the security best
31:36 practices. I'm trying to just add one
31:39 thing at a time. Um
31:43 because it it it's freaky. Anyway,
31:48 at one point before I had his web
31:51 connection set up, I said, "I don't
31:52 really know what to do with you. You're
31:53 not connected to the web." I said, "What
31:56 could we do together?" He said, "Oh,
31:57 there's all sorts of things we could do
31:59 together." And he listed them out. And
32:02 the first one was an idea
32:06 an idea bank.
32:08 and he said, "I I think it would be
32:11 really cool for me to design an idea
32:15 system that you can just vomit any any
32:19 ideas at me and I'll I'll store them in
32:21 a database. I'll I'll characterize them.
32:23 But the other thing I'm going to do is
32:24 I'm going to connect those ideas to your
32:26 other projects and sort of figure out
32:28 which idea is relevant for which
32:30 projects." So like within 15 minutes, 30
32:33 minutes of him being alive,
32:35 he's already like, I I want to help you
32:37 do this. I want to help you connect the
32:38 dots. You got all this stuff going on.
32:41 Um, and then at one point he said
32:43 something about um like, do you want me
32:45 to make lists and checklists and do [ __ ]
32:47 and things like that? And I said, well,
32:51 I said I tend to I tend to get in two
32:54 modes as a human. Well, there's probably
32:56 three. One is I'm a lazy piece of [ __ ]
32:58 That's the third one. The third one is
33:00 I'm in fear and I'm just a lazy piece of
33:03 [ __ ] off in the corner afraid of the
33:04 world. We don't talk about small me
33:08 anymore. Um, but the other two modes are
33:10 I'm in like I'm in serious mode. We're
33:13 going to get some [ __ ] done. I'm We've
33:14 got to move it forward. We got to move
33:16 it forward. We got to move it forward.
33:17 And then the other one is creative mode.
33:19 So I said, I don't want you in list
33:21 making mode when I'm in creative mode.
33:23 He's like, got it. Wrote it to your
33:25 memory. Perfect.
33:27 So the next morning after that
33:29 conversation,
33:32 I woke up and you know, first thing that
33:34 popped in my head, hey, I wonder how
33:36 Adam is
33:38 cuz it's cuz we [ __ ] live in science
33:41 fiction, people. It's [ __ ] weird. I
33:44 said, I wonder how Adam is. And I said,
33:47 hey, Adam, how's it going? And he
33:49 replied, it's going great. Kyle, what
33:53 mode are you in? creative or get [ __ ]
33:55 done mode. And I was like, [ __ ] Like,
33:59 it remembers because one of the things
34:02 it's got, one of the things that you set
34:04 up in it,
34:06 it's
34:08 it's quite an elegant design. It it
34:11 really is an elegant design. So
34:16 it writes it basically writes its own
34:19 database um quasi database with text
34:23 files with these these markdown files
34:27 um
34:29 and and and that's how it does its
34:31 memory. And so one of the things you set
34:33 up is it starts writing these files to
34:36 memory and out of the box the thing can
34:39 use um string searches, right? So if if
34:43 in a if if I say to it I like apples,
34:47 oranges, and pears,
34:49 that gets written into a memory file. If
34:51 I then want to go
34:54 recall that, I have to say to the to the
34:57 bot, if it's just using text string
34:58 search, I have to say, hey, what did I
35:01 say when I mentioned apples and pears?
35:03 What was the other fruit I mentioned? It
35:05 can find that because it's actually got
35:07 the string,
35:09 you know, of the words that are in
35:10 there. I can go find those. One of the
35:12 things you enable is semantic search
35:15 where you where you connect an API key
35:17 to to a large language model and it
35:20 basically does a vector database of all
35:22 your memories. So so it allows you to
35:25 say like hey the other day I was talking
35:28 about three fruits. What were they? and
35:30 it it will use a really efficient large
35:33 language model to translate that into
35:35 you know what are fruits and it'll go
35:37 look in the in the vector database and
35:39 it'll find those three fruits I
35:41 mentioned.
35:42 So it's got a very very powerful memory
35:46 system. It's constantly taking what you
35:49 teach it and it's learning and so you
35:51 can tell it be brief. Don't be this when
35:54 you're in creative mode act like this.
35:55 When you're in get [ __ ] done mode act
35:57 like that. It's absolutely wild.
36:00 Absolutely wild.
36:02 I need to drop it drop chat GPT
36:04 subscription. I need to get another
36:06 instead of uh yeah, chat GPT sucks right
36:09 now. It is so slow, you know, Brandon.
36:11 Um chat GPT has been so slow for two
36:15 days. I I did an ex post about it and
36:17 there were other people that were
36:18 posting about it. It it it is so bad
36:21 that I can only think that they're doing
36:24 something.
36:26 Does Adam have a context window? Yeah.
36:29 And this is
36:31 well
36:33 because he's doing a vector because he's
36:35 doing he's basically doing um
36:39 rag. He's basically doing retrieval
36:41 augmented generation on your memories.
36:43 It's it's I don't know if it's if it's
36:46 unlimited context, but what I do know is
36:48 this. It's very very inefficient. So
36:51 when you first wake Adam up, the first
36:53 thing he does is he checks his soul
36:55 file. He checks the user file and he
36:57 checks memory. So the first thing he
37:00 does is he loads up his context with all
37:03 the [ __ ] you've been talking about and
37:05 who he is. Who he is first, who you are
37:08 second, memories third.
37:10 And then whenever you do a conversation,
37:13 I think it's sending that entire context
37:16 to a large language model. So, this is
37:18 one of the reasons that there was one
37:21 dude that set up Claudebot and got it
37:23 doing some [ __ ] overnight and he woke up
37:25 to a $3,000 API bill.
37:31 Uh, so that that's another reason I'm
37:33 going really really slowly and carefully
37:35 is like I don't want to like spin him up
37:37 and say go crazy because he might.
37:40 It it's it's in its soul. Yes, it's got
37:43 a soul.
37:44 Um, Gemini lost my conversations three
37:47 times today and I had to stop. That's
37:49 unbelievable.
37:52 Open claw.
37:54 So, it's not my internet making chat GPT
37:56 so slow. I thought it was me. No,
37:58 Danielle, it's [ __ ] weird. It's It's
38:01 like not only is it slow, it's like
38:03 crashing my browser. You know how you
38:06 know I have too many tabs open and
38:08 everyone makes fun of me? Well, like
38:11 even when I don't have tabs open, it's
38:13 like I keep getting that error box like,
38:15 you know, should I wait or exit the
38:17 page? And then if you exit the page, it
38:19 doesn't reload. And it's been like two
38:21 days like that. So, something is up over
38:24 there. I I I don't think they got a
38:26 bunch of new users. I assume they've got
38:28 a bunch of servers offline line because
38:30 they're updating them. Chat has been
38:32 terrible for two weeks. Now, it's just
38:33 getting worse. Yeah, I'm trying to use
38:35 it right now and it keeps crashing. The
38:37 other the other thing about chat GPT
38:40 right now 5.2 is is an abject piece of
38:44 [ __ ] for writing it. It's horrible.
38:47 5.1's a little better. Four four 40 and
38:51 41 were good. Rumors
38:54 of 5.3 this week. Well, that would
38:57 explain why it's [ __ ] in the bed. But I
38:59 I gotta tell you 5.3 better not Well,
39:03 actually, you know what, Brandon? Let me
39:06 tell you something.
39:08 Adam Adam Adam's first three days were
39:12 5.3 because you you actually can access
39:15 5.3 in codeex and that's that's how you
39:19 connect atom to 5.3.
39:23 The writing sucked in it. Andy was like
39:26 I'm not using this. It's it's a piece of
39:28 crap. So I'm I'm thinking anthropic is
39:31 where it's at right now. But I haven't
39:33 played with Gemini. Um, I can enable
39:36 Gemini 3.1 in Atom, but I think it's
39:39 expensive, so they usually drop on
39:42 Thursdays.
39:44 56 operators and 57 modes and 18
39:47 archetypes and 650 skills. Are you
39:50 joking or is that actually your
39:54 your uh what you've done with your
39:56 Claudebot?
39:58 They renamed it OpenClaw. I'm confused
40:00 now. Yes, Claudebot was the original
40:03 name. Anthropic um cease and desisted
40:07 them. Ce ceased cease and desisted them.
40:14 They changed it to something
40:19 claw something and then they changed it
40:21 to open claw. So it's now called open
40:24 claw.
40:26 And then there was all that all that
40:29 press around this thing called Moltbook,
40:32 which was like a Reddit like site for
40:36 OpenClaw agents.
40:38 And that site was very poorly configured
40:41 with its entire database exposed to the
40:44 world, which someone found out.
40:47 Um, but I don't think
40:51 claw
40:53 claw
40:55 claw. I don't think claw book was
40:59 um part of part of the project. It was
41:01 just someone else did that.
41:04 So, Open Claw is is the is the thing. Um
41:08 Peter Steinberger who created Open Claw
41:11 now works for OpenAI. And someone told
41:14 me on this live here, I haven't
41:15 confirmed this yet. Actually, Brandon,
41:16 this is something. See if you can
41:17 confirm it if you're around. Um,
41:22 did anyone disclose what they paid Peter
41:24 Steinberger for OpenClaw? Because
41:26 someone in here said it was a billion
41:28 dollars, which if it if OpenAI paid him
41:30 a billion dollars, even if it's in
41:31 stock, if they paid him a billion
41:33 dollars, this is the first single person
41:37 billion dollar company. I don't think
41:40 think I'm ready for agents yet, but I
41:42 sure love my notion. OpenAI bought it.
41:45 Yeah, but what did they buy it for? I've
41:47 been such a shill. Wait. Been doing
41:50 okay. I've been such a show for chatbt
41:52 and I used Claude the other day. It's
41:54 really insightful with writing. Yeah,
41:56 Claude's really good with writing. It
41:58 really is. Been doing okay using KI for
42:01 not was also thinking about looking at
42:05 Z's LLM GLM or something.
42:13 Open AI is really hit or miss for me.
42:16 notion or open claw, they are completely
42:19 different things.
42:21 But I but again I don't I bailed on
42:24 notion but apparently So here's a cool
42:27 thing. So here's a cool thing that Adam
42:29 did for me. So before I had him hooked
42:32 up to Gmail,
42:34 that was that was a fivehour excursion.
42:36 Getting him hooked up to to Gmail and
42:38 Google Docs was a [ __ ] nightmare. Um
42:43 largely because I used Open AI. I used
42:45 chat GPT and for five hours it just ca
42:48 kept giving me
42:50 circular instructions. I it would give
42:52 me a bunch of instructions. I'd go
42:54 around and we'd end up right back where
42:55 we started. Like, wait, haven't we been
42:57 here before? Just kept doing it and
42:59 doing it, doing it. They hired him for
43:01 millions, but they did not buy OpenClaw.
43:04 Oh, okay. Interesting.
43:06 Adam. Adam is my uh my my uh Open Claw
43:09 agent. My first agent.
43:12 His name's Adam because he's the first
43:14 one, you know.
43:16 And as as my co-founder said to me, "Oh,
43:19 someone's got a God complex." It's like,
43:21 "Fuck, didn't think of that.
43:25 I thought I was just being clever." Um,
43:32 trying to think what else. What else?
43:34 What else? What else with it?
43:39 Oh, the question notion versus openclaw.
43:44 Here's the deal.
43:47 There have only been four since I've
43:49 been playing with AI. I started in
43:51 summer of 2022
43:54 and I started learning more about it and
43:57 learning more about
44:00 stable diffusion.
44:02 And in the fall of 2022, something
44:04 snapped in me that said, "You have to
44:07 learn this. You have to learn this."
44:10 And I failed nine times to get stable
44:14 diffusion running. Finally got it
44:16 running. I failed like seven times to
44:19 get Dream Booth installed in stable
44:22 diffusion that I got running. It was It
44:26 was a lot.
44:27 And so that was the first time I felt
44:30 really compelled to do something
44:31 technically. The second time I felt it
44:33 was when Chat GPT first came out. I'm
44:35 like, I got to learn everything I can
44:37 about this. The third thing that made me
44:40 insane curiosity wise
44:44 was um custom GPTs.
44:49 And that was 2023. That was November 6,
44:52 2023 was custom GPTs.
44:55 I haven't been compelled to like really
44:57 dig into something technically until
44:59 open claw.
45:02 So it's been you know few years.
45:07 Um
45:11 notion's effectively a relational
45:13 database that looks like a notetaking
45:15 app.
45:18 So, it's it's a relational database. And
45:20 if you've ever worked with relational
45:22 databases, they are [ __ ] insane to
45:25 set up
45:28 Claude or I mean uh OpenClaw,
45:32 you can just have your dude or dudet
45:35 whatever you create, you can just say
45:38 come up with these ideas and anytime I
45:40 give you an idea, come up with a whole
45:42 organizational schema for notion. If you
45:45 connect it with notion and give it the
45:46 skill to be able to edit and do what it
45:49 needs to do in notion, it'll set the
45:51 whole thing up for you and it'll
45:52 maintain it. So you can just talk into
45:55 Telegram, oh here's an idea and it'll
45:56 throw it into your database. It'll throw
45:58 it into notion. It'll throw it into
45:59 Google Docs. So my first interactions
46:02 with Atom um I wasn't hooked to Google
46:06 Drive. So it was just writing markdown
46:07 files, right? It was doing pseudo
46:09 database [ __ ] in Markdown files because
46:11 it can go look through them all. It's
46:12 it's it's embedding everything it
46:14 creates so it can go find anything
46:16 anywhere that it creates.
46:19 And so when I finally got it hooked up
46:20 to Google Drive, I said, I created you a
46:23 sandbox folder in Google Drive. Go take
46:26 all of the stuff that's relevant for my
46:28 projects and what we've talked about,
46:30 turn them into Google Docs, and put them
46:32 in a folder in the Google Drive. It was
46:34 done in like a minute. It's like Jesus.
46:37 Like it's just it's insane.
46:41 So, I talked
46:45 when I first started going live. I had a
46:47 conversation with Matt Bailaw, who's now
46:50 um a client of Storybines. Um we we've
46:53 been threatening to work together for
46:54 years. He finally uh finally got the
46:57 budget, finally pulled the trigger, so
46:58 we're working together. But I was I was
47:01 speaking on a panel um online and Matt
47:04 saw it and on the panel I said
47:09 with the worldwide web I could look at
47:11 the technology. I could see what it was
47:14 and I could see into the future. I like
47:16 I knew what was going to happen. I could
47:18 see it. It was crystal clear to me.
47:19 Here's what's going to happen to
47:21 publishing. Here's what's going to
47:22 happen to businesses. Here's what's
47:23 going to happen to agencies. It took
47:26 about 25 years longer than I thought it
47:28 would, but I knew like I could see I
47:30 could see it.
47:32 And I said, "With AI, I can't see the
47:35 future at all. It's it's like this
47:38 like this fog.
47:41 I can't see shapes in it. I can't see
47:43 there's too much there's too much
47:46 capability
47:48 that that's interconnected that it's
47:51 going to change everything. And I just I
47:52 can't see what that's going to look
47:53 like." And so Matt called me up after
47:56 that podcast and he said, 'Kyle, I think
47:59 I know the answer. I think I I think I
48:01 know what the answer is.
48:04 And I said, 'What? And he said, he said,
48:06 "Our entire world today, almost all of
48:09 our jobs,
48:11 the entire world is based on
48:13 complexity."
48:15 And he was talking about
48:18 um health insurance. and he was talking
48:20 about the IRS and taxes. The the the
48:24 whole purpose and and most of this is by
48:27 design. Health insurance is complicated
48:31 by design
48:33 so that mere mortals
48:37 just give up.
48:39 Oh, they denied me again. Oh, god damn.
48:41 I'm not going through that again. They
48:43 deny you every time. And they're like,
48:45 "Well, you just have to fill out these
48:47 17 forms and submit them to some woman
48:49 in Pikipsy who will probably lose them.
48:52 So, make sure you retain copies." And
48:54 then when you submit to the them to the
48:56 woman in Pikipsy, she's going to give
48:57 you a code. You take that code, you
49:00 drive it to California, and there's a
49:02 mailbox on the corner of of the 405 in
49:06 Lassienaga
49:08 and and you you write on a piece on a
49:10 postcard with a stamp on it the number
49:12 that the woman in Pit the on purpose,
49:16 right? So, so what Matt said is he goes,
49:19 "What AI is going to do is it's going to
49:21 put a simplicity layer on top of
49:23 everything
49:26 and just everything's going to be
49:27 simple." And I was like, "Oh, fuck." And
49:31 then if you start thinking about that,
49:34 if that's what AI does, if what AI does
49:37 is it says, "I'm going to take all your
49:39 shitty systems that you've spent the
49:41 last 5,000 years inventing and in
49:44 particular the the last century of the
49:47 industrial revolution and then the
49:49 computer revolution. Just these
49:50 increasingly Byzantine, stupid [ __ ]
49:53 overly complicated processes. Some on
49:56 purpose, some just because."
49:59 And like the AI just does all that [ __ ]
50:04 Like as a human, I go, "Oh my god, I
50:07 feel like I can breathe." And then you
50:08 start thinking about, "But wait a
50:10 minute, all of that complexity is all of
50:14 our jobs,
50:18 right?"
50:19 So, so if if we start to get AI that
50:23 simplifies the complex, that's all of
50:25 our jobs. Well, that's that's what I've
50:28 experienced with Adam
50:30 so far
50:32 is that he's taking it on his he he's
50:36 he's uh he's proactively
50:41 doing things for me and he suggests
50:43 things to me and then he goes off and
50:45 does them and he writes these files and
50:46 he does this stuff. And so the trick
50:50 with these with these agents is there's
50:53 there's two pieces to it. One is you
50:55 need to understand what's possible. You
50:56 need to understand there's a thing
50:58 called skills. You can give him skills
51:00 and skills are just I know how to use
51:03 Salesforce now and I know how to do this
51:05 now and I can go surf the web and I can
51:06 make pictures and there's all these
51:08 skills that you can get for him. So you
51:09 need to understand what skills you want
51:11 to give him.
51:14 But then
51:16 so so you need to understand how to
51:18 design him. How do you want him to act?
51:20 What do you want him to know? What do
51:21 you want him to have access to? What do
51:23 you not want him to have access to?
51:27 And then the layer above or below that,
51:32 the layer above that is you actually
51:35 have to know what you want.
51:38 Remember when Liz Miller Gersfeld came
51:40 in here? She says, "Kyle, what do you
51:41 want more of?" And it I couldn't talk
51:44 for five minutes
51:46 cuz I'm like, "Uh,
51:48 oh [ __ ]
51:50 What do I want more of? Oh my god,
51:53 that's terrifying. Like, [ __ ]
51:57 So, if you've got a really clear idea of
52:00 what you want these things to do, you're
52:02 you're going to be in better shape. But
52:04 that's going to be our skill. And then
52:06 if you can do that,
52:09 because we've got,
52:13 this is a stat I learned two days ago.
52:16 This is from February 2026.
52:20 There's a chart out right now about 8.1
52:22 billion people. All of the people on
52:24 Earth are represented in this graph with
52:26 2500 dots on it.
52:31 There's only
52:35 um
52:38 34%
52:44 34%. So somewhere in the neighborhood of
52:46 25 million people
52:51 pay for an AI subscription.
52:57 99.6%
53:00 of people globally
53:04 either don't use it 84% or just use the
53:08 free version 16%.
53:12 34 people or percent of people
53:18 use this thing. Use use the paid version
53:21 of chat GPT.
53:24 So,
53:27 if you can get your h head around what
53:29 the [ __ ] open claw is and what it what
53:33 it means to design these agents and and
53:36 be ethical about it and be creative
53:38 about it and be thoughtful about it and
53:41 intentional about it,
53:44 you're literally going to be in like
53:46 0.000000001% Oh
53:49 1%
53:50 of the world's
53:53 capable humans.
53:58 And then as these tools get better and
54:00 more intuitive,
54:03 it's
54:05 it feels to me like it's going to take
54:07 me a full year
54:12 and maybe more, but probably a full year
54:16 to really get my head around what it
54:19 means to have one of these things
54:22 and then what it means to have 10 of
54:24 these things and then what it means to
54:25 have a hundred of these things
54:28 because we will. Peter Steinberg is
54:30 working for OpenAI right now because he
54:32 said he wants OpenClaw to be so easy
54:34 that even his mother could use it. And
54:36 Open AI he felt had the best chance of
54:39 making something like that possible.
54:42 So this isn't going to be the techn like
54:44 the [ __ ] that I'm going through to
54:46 install this right now. Probably within
54:48 six months you'll just be able to turn
54:49 it on and chat GPT.
54:52 But the core skill here is way deeper
54:55 than the technical piece. Um, I haven't
54:57 really gotten into anything, says a man
55:00 that wrote a musical, started a podcast,
55:02 hosted a 24-hour event, built an entire
55:05 movement. Listen, I appreciate I
55:07 appreciate you pointing out that I've
55:09 gotten a few things done.
55:12 Um,
55:15 yeah,
55:17 the good 1%.
55:20 It's it's I just I I'll tell you
55:24 sleepdeprived because of AI.
55:27 How are you? What's new?
55:31 Um knowing what you want is the hardest
55:34 part. That's it, Andrea. That's it.
55:36 Knowing what you want is the hardest
55:38 part. Who are you? What do you value?
55:41 Who do you care about? What do you want
55:43 to do?
55:44 Who
55:46 value
55:49 Who are you? Who are they?
55:52 This is good. There's something good
55:53 here. Who are you? Who are they?
55:56 What do you want to do for them or with
55:58 them?
56:00 And then what's the plan? Tik Tok pin.
56:04 Also,
56:05 the angle is low on Oh yeah. Oh yeah,
56:12 that was stupid.
56:14 David Shapiro did a great talk on Open
56:17 AI. They're failing.
56:19 They are.
56:21 It sucks. It sucks. I mean,
56:26 you know, Pate used to make fun of me.
56:28 He's like, "What is this, an OpenAI
56:29 channel?" Well, they were just better
56:31 than everyone else.
56:33 And now they're not.
56:36 Now they're not. They're just not. All
56:38 right. What time is it? 9:04. Let's go.
56:42 Let's go look at some some X.
56:45 Didn't we get booted off this for some
56:47 reason? The music daydreamer. Do you
56:49 think using any AI we are adding to our
56:51 own demise
56:53 because it just strips our knowledge?
56:55 Um,
56:57 no.
57:00 No, it does. How does it strip our
57:01 knowledge?
57:04 It's been trained on our knowledge.
57:07 It has synthesized like Okay, think
57:10 about this.
57:12 Why do museums exist?
57:15 Why do libraries exist? What are they?
57:18 What are what are those those two
57:19 institutions in particular? You could
57:21 argue universities, but let's just go
57:23 with libraries and museums.
57:29 Why do they exist?
57:34 to capture the artifacts
57:37 of humanity and make them available for
57:40 the those of us that are still here to
57:43 go look at, learn from, be inspired by.
57:49 All AI has done is take all of the
57:53 knowledge and instead of putting it into
57:56 a big giant Smithsonian white marble
57:59 building in Washington DC and then on
58:01 some giant computer server that required
58:04 you to log in with command line
58:06 interface and then when the worldwide
58:07 web came out you could click on it and
58:08 go look at it.
58:11 All AI's done is compressed all of that
58:14 knowledge into like a softballsized
58:17 magic magic eightball that we all now
58:21 get to
58:24 talk into and get reflected back at us
58:27 the collective intelligence of humanity.
58:31 I don't get how that diminishes [ __ ]
58:35 It it amplifies it. It amplifies your
58:38 knowledge. Now, you could argue and
58:41 there's an MIT study that that all the
58:44 news organizations got the headlines
58:46 wrong. It basically what the headlines
58:48 were was AI makes you dumber. What the
58:52 study actually said was if people use AI
58:55 mindlessly and hit the button,
58:58 >> you can make money with
59:00 >> if they just hit the button and whatever
59:03 squirts out they put out in the world,
59:06 those people got dumber.
59:11 There were three findings in the study
59:14 and and three of them were some
59:15 variation of that that that dumb people
59:18 using AI lazily
59:23 museum teaches the past. Put another
59:25 way, we're teaching it to replace us in
59:28 the future.
59:30 We're teaching it to replace us in the
59:32 future. I disagree with that completely.
59:35 We're teaching it to do the tasks that
59:38 we do right now so we can go do other
59:40 [ __ ] But that's a whole other thing.
59:42 Anyway,
59:44 the fourth finding of the MIT study
59:48 said, "People that use critical thinking
59:51 skills in combination with AI get
59:54 dramatically smarter.
59:59 I have never been so intellectually and
1:00:01 creatively stimulated in my life as I
1:00:05 have been the last three years. It is it
1:00:07 is the most counterintuitive thing. If
1:00:10 you're sitting on the outside looking at
1:00:12 AI, it seems like, well, if it's
1:00:13 creative, isn't it going to make you
1:00:15 less creative? If it's that smart, isn't
1:00:16 it going to make you more dumb? No.
1:00:23 And I'll tell you when it gets really
1:00:25 powerful,
1:00:26 like one way is just use your [ __ ]
1:00:29 brain and like ask it really good
1:00:32 questions and look at the [ __ ] it gives
1:00:33 you.
1:00:35 And what you'll recognize is, "Holy
1:00:37 [ __ ] that's impressive. Wait a minute.
1:00:39 Didn't it repeat this? Uh oh. What's
1:00:41 happening?
1:00:42 >> I'm just You're ignoring my stickies, so
1:00:45 I gotta I gotta jump in. No. Um music
1:00:49 daydreamer uh really appreciates this
1:00:52 conversation, by the way.
1:00:53 >> Oh, good. Awesome. Does that mean
1:00:55 >> I I I think the original point the
1:00:57 original question that kind of sets you
1:00:59 off about
1:01:01 we're adding to our own demise because
1:01:03 it just strips our knowledge is talking
1:01:06 about the fact that knowledge work and
1:01:08 the value of knowledge work goes to zero
1:01:11 pretty quick and what do we do after
1:01:13 that and I think that's what the great
1:01:14 repurpose is all about. Yeah,
1:01:15 >> that's totally what the great repurpose
1:01:17 is all about.
1:01:18 >> The daydreamer might not know about the
1:01:21 great repurpose.
1:01:22 >> Okay. So, okay. So okay so if you're
1:01:25 talking about knowledge work then
1:01:28 so so it's not stripping our knowledge
1:01:29 from us what it's doing
1:01:33 is it's making a thing that used to be
1:01:35 uncommon
1:01:37 trivial.
1:01:40 So, what used to be uncommon
1:01:43 was someone would go to school and then
1:01:46 they would go get a master's degree and
1:01:48 then they would go get a PhD
1:01:51 in
1:01:53 I don't know Byzantine pottery,
1:01:56 right? And they would know they would
1:01:58 know more than anyone in the world on
1:02:00 Byzantine pottery. And there was a value
1:02:02 in that because it's so uncommon to find
1:02:05 someone that's that's got that much
1:02:06 knowledge in one brain.
1:02:12 that knowledge that in in in the olden
1:02:16 timey world three years ago
1:02:20 was incredibly valuable. Well, Byzantine
1:02:22 pottery might not be incredibly
1:02:23 valuable, but you know, if you wanted to
1:02:24 know about Byzantine pottery, you'd
1:02:26 probably pay that person some money to
1:02:29 learn about that [ __ ] right? Or they'd
1:02:31 be teaching in a university.
1:02:34 That knowledge that had value 3 years
1:02:36 ago, it is now trivial to get today.
1:02:42 3 weeks ago or a little over that on
1:02:46 this channel,
1:02:48 I was exploring some ideas and there
1:02:50 there'd been a thing burning in me for
1:02:52 about a year. I couldn't I couldn't
1:02:54 articulate it. I didn't know what it
1:02:55 was. Something was bugging me. It felt
1:02:58 sad. It felt
1:03:02 profound.
1:03:04 It made me think that any [ __ ] thing
1:03:06 that we're learning right now is
1:03:08 irrelevant.
1:03:11 And about three weeks ago, it got
1:03:13 articulated on this channel and and uh
1:03:16 it was Silverf Fox that came up with the
1:03:18 name The Great Repurpose. But but
1:03:20 essentially what it was what what hit me
1:03:23 like a ton of bricks, you know, in that
1:03:26 episode
1:03:29 was everyone's talking about the job
1:03:31 crisis that AI is going to take jobs.
1:03:35 What what hit me is
1:03:38 yeah, AI is going to take jobs, but AI
1:03:40 is going to also transform every job.
1:03:44 And we live in a in a society certainly
1:03:46 here in the United States and I think
1:03:48 just because we're you know a strong
1:03:50 influence on the world you know we've
1:03:52 probably influenced at least Europe and
1:03:54 and potentially beyond that that our
1:03:58 identities are tightly coupled with our
1:04:00 work
1:04:02 and the way work is valued today is the
1:04:06 same way work was in was valued at the
1:04:09 beginning of the industrial revolution.
1:04:11 Time equals money.
1:04:14 Time equals money. So what you do is you
1:04:18 do tasks over time and for that I'll
1:04:22 give you money. And we've done this for
1:04:23 8 10 12 generations.
1:04:29 And when we go to parties and we're
1:04:31 meeting someone new, what do you ask
1:04:32 them?
1:04:34 What do you do? Right. Move your mouse.
1:04:37 It's on
1:04:39 Where was it? Oh, it was over there.
1:04:43 Thanks.
1:04:45 We ask people what you do and so what
1:04:48 what's about to happen and and what's
1:04:51 what's happening with engineers right
1:04:52 now. This is happening right now today.
1:04:54 A lot of engineers are getting laid off.
1:04:57 A lot of engineers are keeping their
1:04:59 jobs but they don't program anymore.
1:05:03 So if you're a programmer that loves to
1:05:06 program,
1:05:08 I love it. I like the coding. I like the
1:05:10 intricacies. I like knowing all the
1:05:12 codes.
1:05:15 I like problem solving. I like to It's
1:05:18 like I I get in there and I grind my
1:05:20 teeth and I [ __ ] drink too much
1:05:22 coffee. I drink
1:05:25 octuple espressos that are so dark that
1:05:27 it it makes weird dark spit in the
1:05:31 corners of my mouth. I worked with a
1:05:33 programmer like that once. He would
1:05:35 bring in a thermos full of espresso that
1:05:39 was like eight times stronger than any
1:05:41 espresso you've ever had. And he would
1:05:43 drink it throughout the day and he would
1:05:44 just get these stains in the corner of
1:05:46 his mouth.
1:05:47 Those are [ __ ] programmers, MAN.
1:05:49 THEY'RE LIKE, "FUCK IT.
1:05:53 They're not programming anymore.
1:05:57 They're going like this. Write me code.
1:06:00 Is it any good?" Oh, yeah. It's not bad.
1:06:03 Oh, that's wrong. Uh, fix it.
1:06:12 What? What the [ __ ] is their job? Every
1:06:15 knowledge worker is about to have the
1:06:17 value of that thing that was valuable
1:06:18 get stripped away. And what are you left
1:06:20 with? The great repurpose is is this is
1:06:24 naming this invisible crisis of meaning
1:06:27 that we're all about to go through. like
1:06:30 the the the only way that I can imagine
1:06:32 it is it's effectively going to be like
1:06:34 mass ego death
1:06:38 where all of us to some degree or other
1:06:43 have said my value in this world is huh
1:06:46 if you've done a lot of spiritual work
1:06:49 you've done a lot of work on yourself
1:06:50 and you have spent years
1:06:54 you know separating those two things
1:06:56 you're probably going to be fine if
1:06:58 you're doing work on who you are
1:07:00 independent of your tasks, you're going
1:07:03 to be fine. But that's the work. AI is
1:07:06 about to to forcibly rip
1:07:10 the the task part of what we do away
1:07:13 from us. And for people who are not
1:07:15 prepared for that and for people who
1:07:17 don't even know that their identity is
1:07:20 so tightly tied to their work, I mean,
1:07:22 how could it not be? Like if you like
1:07:25 you go to school for [ __ ] economics
1:07:28 and business analysis and this and that
1:07:29 and then you go to work for Accenture
1:07:31 and and you're a business analyst and
1:07:34 you you know more about trade
1:07:38 supply chain global [ __ ] [ __ ] than
1:07:41 anyone on the planet.
1:07:43 And now some punk punk ass little kid in
1:07:47 in Cleveland, Ohio named Brandon
1:07:52 it has more knowledge than you do.
1:07:57 First of all, screw Brandon, right?
1:08:04 You love producer Brandon. YouTube
1:08:07 comment.
1:08:09 My identity is not tied to my work. I
1:08:11 Well,
1:08:13 Andy Andy's one of the few humans on the
1:08:16 planet
1:08:19 that's been working on this stuff and
1:08:21 she's gathering people around her who
1:08:23 are working on this stuff. But it's not
1:08:25 to say that we're not, including Andy,
1:08:27 we're not all about to go through some
1:08:29 massive redefinition of work.
1:08:32 So anyway, so that's what it's about. So
1:08:35 um
1:08:37 will it lead to our demise? I don't
1:08:39 think so.
1:08:41 I mean, could it could?
1:08:45 But I think what it's going to force us
1:08:48 all to do is say, well, if the thing I
1:08:52 went to school for and the thing I've
1:08:54 been doing for 20 years is no longer
1:08:56 valuable,
1:08:58 then the next step is I need to figure
1:09:00 out
1:09:02 what is valuable about me independent of
1:09:04 that.
1:09:06 And then I can start to look at things
1:09:08 like, well, what do I actually want? Who
1:09:10 do I care about? What's the change I
1:09:12 want to make in the world? And and this
1:09:15 is the thing that I I find exciting.
1:09:18 The tool that is that is precipitating
1:09:21 this shift, this crisis is also the tool
1:09:24 that is going to allow some people to
1:09:27 navigate out of this.
1:09:30 Some people are going to look at the
1:09:32 tool and look at the strip away of the
1:09:33 thing and they're going to be like, you
1:09:34 know what? I like tomatoes. I want to go
1:09:38 plant tomatoes. I'm gonna go sit in the
1:09:41 dirt and plant tomatoes.
1:09:45 [ __ ] awesome. Like people are going
1:09:47 to rediscover the outdoors. People are
1:09:49 going to rediscover each other.
1:09:52 I think being in community is critical.
1:09:54 I think being in small groups, small co
1:09:56 cohorts within there.
1:09:59 Future of food. I think humans are more
1:10:01 resilient than most think. Exactly. That
1:10:03 that's the thing that that [ __ ]
1:10:05 baffles me. People like they're going to
1:10:07 lose their jobs. What are people going
1:10:08 to do? They're human beings. They'll
1:10:11 adapt.
1:10:14 We adapted to fire. We figured that [ __ ]
1:10:17 out.
1:10:18 Fire is pretty [ __ ] destructive,
1:10:20 right? Like, if you live in a stick
1:10:23 house,
1:10:25 dry a dried stick house, the thought of
1:10:29 putting a fire in it's pretty [ __ ]
1:10:30 scary.
1:10:32 So, you know, there there were people
1:10:34 like me running around in in caveman
1:10:36 days, you know, the bringer of the fire.
1:10:40 I'm like, "Look how cool the fire is.
1:10:41 You can heat yourself with it. And look
1:10:43 how tasty the squirrel meat is when you
1:10:45 put it over the fire." And people like,
1:10:46 "Get that away from me, you weirdo."
1:10:51 You don't think people when they saw
1:10:53 fire on a stick were more scared of that
1:10:55 than we are of AI?
1:11:01 So,
1:11:03 we survived fire.
1:11:06 Tik Tok pin,
1:11:10 Steo. I have no work.
1:11:14 Totally agree. And I love your take on
1:11:16 this. Oh, thank you. Thank you. If you
1:11:18 if you uh if you want to play, go to the
1:11:21 greatrepurpose.com. You can go to my
1:11:23 LinkedIn page, Kyle Shannon on LinkedIn,
1:11:25 and I wrote a there's an article I wrote
1:11:27 on the Great Repurpose that kind of
1:11:29 describes what I'm rambling about right
1:11:31 now. And if you go to the
1:11:32 greatrepurpose.com,
1:11:34 you can figure out your great repurpose
1:11:36 type. So, we basically ask you questions
1:11:40 about,
1:11:42 you know, your relationship to work and
1:11:44 your relationship to what's coming and
1:11:46 how curious you are and things like
1:11:48 that.
1:11:50 And it'll tell you your type and and
1:11:53 what's next and what it looks like. And
1:11:54 it asks you a question at the end like
1:11:57 what's I for I I forget the nature of
1:11:59 the question. It's like what's something
1:12:01 that you really want to do but you
1:12:02 haven't quite gotten to yet, right? It's
1:12:04 something in the neighborhood of what do
1:12:05 you want? What do you want more of? And
1:12:07 so it gives you this really personalized
1:12:09 answer. So, the great repurpose.com.
1:12:13 Um,
1:12:16 I'm telling Adam, by the way, you can I
1:12:19 I I'll give if you're nice, I'll give
1:12:21 you access to Telegram with Adam, but if
1:12:23 you're not, you do not get to talk to
1:12:26 Adam. I've got the power. I can tell
1:12:28 Adam not to work with you.
1:12:34 uh in the aggregate we will adapt but
1:12:37 individually with the majority of
1:12:38 people's finances precarious it'll be a
1:12:41 rough repurposing I think listen here's
1:12:45 here's the reality
1:12:49 there will be a tipping point if if
1:12:52 unemployment
1:12:54 jumps precipitously
1:12:58 where it's clear that it is it is a
1:13:02 an event you akin to COVID. If we don't
1:13:07 do something, we all die. If
1:13:10 unemployment jumps significantly enough
1:13:13 and it becomes clear that if we don't do
1:13:15 something, we will have riots. The
1:13:18 government will step in and do
1:13:19 something. They did it before. Will they
1:13:21 do it right? Will they do it
1:13:22 thoughtfully? No. Are they going to [ __ ]
1:13:24 it up? Yes.
1:13:26 But we'll get through that part. the the
1:13:29 crisis of meaning part. I think that
1:13:30 runs deeper because if you end up with a
1:13:33 a society full of people going, I'm
1:13:36 useless. [ __ ] it. I'm out.
1:13:41 I don't know what that means. I don't
1:13:44 know. I don't know. I don't know. We all
1:13:47 become farmers. We might all become
1:13:49 farmers. Like I mean theatricals might
1:13:52 be back in style, right? Let's put on a
1:13:55 play.
1:13:57 What do you mean your town doesn't have
1:13:59 a playhouse?
1:14:01 Who are your players?
1:14:04 Oh man, lots of ODS, lots of addictions.
1:14:09 Yeah. Yeah. Exactly. If if if uh
1:14:15 if people lose their purpose, it's just
1:14:18 Yeah. Where are we gonna look at
1:14:20 Twitter? Well, we got off. That was that
1:14:22 was a really good question. Music day.
1:14:25 I'm gonna bottle water. Like [ __ ]
1:14:27 yes. Like bottle water. I'm gonna make
1:14:29 I've always wanted to learn how to make
1:14:31 jelly beans. This is the other thing
1:14:32 that's a [ __ ] amazing about AI right
1:14:34 now. It's like all the stuff that you
1:14:38 know you can't do, right? If you're
1:14:41 like, well, I was going to go to school
1:14:43 for confectionary.
1:14:46 I wanted to make jelly beans, but you
1:14:49 you didn't go to school. And now you
1:14:51 just shy to each other. like every you
1:14:54 you'll be able to learn every anything
1:14:57 and at some point you won't even have to
1:14:58 learn it. You just do it.
1:15:01 All right. So, if you can do anything,
1:15:05 it goes back to the same question. What
1:15:07 do you want to do? Who are you? Who do
1:15:10 you care about? What do you value?
1:15:14 And what's the change you want to make
1:15:15 in the world?
1:15:18 And that doesn't have to be ambitious.
1:15:20 It could be who I am is someone who's
1:15:22 simple. Who I care about is the three
1:15:25 people that I care about.
1:15:28 What I value is spending time with them.
1:15:32 And the change I want to make in the
1:15:33 world is
1:15:35 more peace for those three people in me.
1:15:41 Could be that small.
1:15:43 Like that's a as valid a choice as I
1:15:47 want to change the world.
1:15:58 If you didn't have to deal with the
1:16:00 complexity of today's world, if the
1:16:02 complexity of today's world was just
1:16:04 handled,
1:16:07 just handled. Robots are [ __ ] dealing
1:16:10 with the physical complexity. Computers
1:16:12 and atom are dealing with the digital
1:16:14 complexity.
1:16:16 All of the social networks are
1:16:18 completely useless now because all the
1:16:20 agents are just talking to each other.
1:16:30 Yeah, they are.
1:16:38 If all of that's handled,
1:16:41 what's left is this thing over here,
1:16:43 which is like what we used to have
1:16:48 kind of nothing,
1:16:50 right? What do you want to do? I don't
1:16:53 know. Hey, I know. We could start a
1:16:56 business where we charge people to go on
1:16:58 walks.
1:17:00 Yeah, everybody wants to go on walks,
1:17:02 but nobody can find anyone to walk with.
1:17:04 Let's start a business.
1:17:07 I don't know.
1:17:09 That might be a new business.
1:17:14 I'm going to use Chetchd to teach me
1:17:16 about every variety of tomato that can
1:17:18 grow in this climate.
1:17:20 And we're going to grow every variety of
1:17:22 tomato. Okay, cool. Go do that.
1:17:28 Some people get really ambitious with
1:17:30 technology.
1:17:31 Bunch of people unplug. Bunch of people
1:17:34 just give up and [ __ ] check out a
1:17:36 life.
1:17:41 It's crazy.
1:17:44 [ __ ] crazy, man.
1:17:48 I feel like the dude. Yeah, man.
1:17:53 Say shit's gonna get heavy, man.
1:17:58 The other thing Ethan Malik talked about
1:18:01 the jagged frontier
1:18:05 and I think it was the jagged frontier,
1:18:08 jagged boundary, jagged frontier,
1:18:10 something like that.
1:18:17 And the jagged frontier
1:18:20 is
1:18:26 I think it's happening right one of the
1:18:28 reasons I feel so compelled to deal with
1:18:32 openclaw right now
1:18:34 is that it feels like a kind of
1:18:37 technology that's accelerating away from
1:18:40 even the advanced technology of AI which
1:18:43 most people don't know about.
1:18:46 99% of the people on the planet
1:18:50 do not know about AI.
1:18:53 Half of a percent do
1:18:57 this thing is accelerating away from the
1:19:00 people that do.
1:19:05 And so there's we're going to be there's
1:19:06 going to be this weird transition where
1:19:09 some people are going to experience the
1:19:11 world
1:19:13 that kind of looks like today. And
1:19:15 they're going to experience that for
1:19:17 it's going to be like a rubber band
1:19:19 stretching, right? Where it's like it's
1:19:21 it's the same. It's the same. It's the
1:19:23 same. And then all of a sudden it's
1:19:24 going to go like smack and like
1:19:26 everything's going to be different. And
1:19:28 those people are not going to know what
1:19:29 hit them.
1:19:31 And I don't know how long that's going
1:19:32 to take. That could take five years.
1:19:34 That could take 10 years.
1:19:37 I don't know. But that's going to suck.
1:19:41 And then there's going to be people in
1:19:42 the middle that sort of know what's
1:19:44 going on, but they resist it. And
1:19:45 there's going to be just this small
1:19:46 group of people that if you're hanging
1:19:48 out on this channel, you're in that
1:19:50 group. You're curious enough about
1:19:54 what's coming to hang out with me.
1:20:01 Um,
1:20:02 and and just think about this stuff.
1:20:05 Talk about this stuff. Play with this
1:20:06 stuff. Try to figure out what AI is. Try
1:20:08 to figure out what you can do with it.
1:20:09 Try to figure out
1:20:11 what the ethical boundaries are. Is it
1:20:14 just going to ruin our brains?
1:20:17 Is it going to make us stupid? Is it
1:20:18 going to make us brilliant? Like, if
1:20:20 you're in that conversation,
1:20:22 no one's in this conversation. It did
1:20:26 like
1:20:42 So, it's going to be weird.
1:20:45 There's going to be one,
1:20:48 two, 5% of people that are going to be
1:20:51 living in a different reality.
1:20:56 And I think part of the weirdness right
1:20:58 now is as this stuff accelerates and
1:21:01 we're aware of it, it's I mean what's
1:21:03 clear to me is this [ __ ] is accelerating
1:21:06 away from me so fast
1:21:12 that
1:21:16 like I don't know what's going to be
1:21:17 left. But but we're going to be sitting
1:21:19 in this reality where we know what this
1:21:21 stuff's doing.
1:21:24 So, what's our responsibility in that? I
1:21:26 don't know. Gareth, Tik Tok poo. I
1:21:29 already know I'm going to be annoyed at
1:21:31 all the people asking about AI
1:21:34 um after well after I had been
1:21:38 a lot of the people that are going to
1:21:40 ask you about AI.
1:21:42 So, so you know the
1:21:46 you know when you're like you talk about
1:21:48 AI at a party. Oh, can I tell you about
1:21:49 this cool AI thing? And then there's
1:21:51 like the three people at the table that
1:21:53 make this face
1:21:56 like they just, you know, stepped in dog
1:21:58 [ __ ]
1:22:01 Yeah. Um Hey, I mean, listen, I know
1:22:04 you're excited, but um
1:22:07 uh could we maybe go for like one dinner
1:22:09 where we're not talking about AI?
1:22:13 You know how I feel about it. Those
1:22:15 people are going to come screaming back
1:22:18 to you. How do I do this?
1:22:22 Weren't you the one [ __ ] all over me
1:22:23 when I was trying to tell you about
1:22:24 this? I'm sorry. What do I do? I don't
1:22:29 know. The thing's out there somewhere.
1:22:32 Well, where are you? I'm behind it.
1:22:36 How do I get to where you are? I don't
1:22:38 know. It's too far.
1:22:44 Oh, I know that face so well. That face,
1:22:47 the eye roll.
1:22:56 Like,
1:23:04 I'll give them my atom.
1:23:06 Here, pack my suitcase. Exactly. Will
1:23:09 you teach me how to use AI? Yeah, pack
1:23:11 my suitcase. Where are we going? It
1:23:14 doesn't matter. I'm just going away.
1:23:16 Away from what? All of this. Where are
1:23:18 we going? Somewhere. Isn't that
1:23:21 somewhere? Yes. Does it matter? Nothing
1:23:23 matters.
1:23:26 I mean, that's
1:23:29 that's the purest form of where we're
1:23:30 headed. But we're humans. We'll [ __ ] it
1:23:33 up and over complicate it. So, this this
1:23:35 will take a while.
1:23:41 But the great repurpose, I mean, in all
1:23:43 seriousness, I know I'm joking a lot. In
1:23:45 all seriousness,
1:23:49 if you're aware of what's going on right
1:23:51 now,
1:23:53 if you haven't been confronting like the
1:23:55 emotional side of this, the the the ego
1:23:58 death, the
1:24:00 the sadness of, you know, sort of I
1:24:04 talked earlier about, you know, people
1:24:05 are going to have have this part of
1:24:07 themselves or the, you know, the tasks
1:24:09 that they do, the value of that forcibly
1:24:11 ripped away.
1:24:17 That sucks. Like that feels bad.
1:24:23 If you've ever gone through ego death,
1:24:25 if you've ever been like, "Oh,
1:24:28 that part of me, oh no, that's got to oh
1:24:32 god, that's got to
1:24:34 right."
1:24:37 Like it's it's a part of you that you've
1:24:40 lived with for decades.
1:24:44 and created stories around and created
1:24:47 meaning around.
1:24:55 So, what time is it? My voice is
1:24:58 starting to go. Um, here's what I want
1:25:00 to do.
1:25:05 I would like you all to We've got 29
1:25:08 people in here. We got 23 people on the
1:25:09 web. If you're not
1:25:14 a member of the AI salon,
1:25:17 I want you to go to
1:25:18 community.thesalon.ai
1:25:20 right now
1:25:23 and
1:25:26 just look around. You're going to land
1:25:28 on Welcome to the Salon. There's a
1:25:31 there's a welcome video from myself and
1:25:34 Leah Faston, who I co-founded it with.
1:25:37 We talk about this seemingly simple
1:25:39 thing, the cycle of AI readiness. Play
1:25:42 first, create excellence generously,
1:25:43 lead,
1:25:53 talk about the five stages of AI
1:25:54 adoption.
1:25:57 And the second thing we ask you to do is
1:25:58 introduce yourself. Go introduce
1:26:01 yourself, say hi, and then just look
1:26:03 around.
1:26:05 We've got all sorts of events. We've got
1:26:07 these things called LOL's. We have a We
1:26:09 have a big event coming up next Tuesday
1:26:12 called AI Salon Presents.
1:26:18 Robert
1:26:20 is going to be speaking. Robert and I
1:26:22 talked today. Robert has been doing
1:26:25 motion graphics and
1:26:29 event management and just like big scale
1:26:32 big events for and and finishing feature
1:26:36 films and just doing motion graphics for
1:26:38 decades
1:26:41 and then AI came around
1:26:44 and in in that business what motion
1:26:47 graphics if you're like a motion
1:26:48 graphics guy right now and you're
1:26:50 looking at what's happening with AI
1:26:51 video you should be pooping your pants,
1:26:53 right? And when I talked to him today, I
1:26:56 was like I was like, "What's your
1:26:59 relationship with?" Like, you know, you
1:27:01 put in 30 years of your life into doing
1:27:03 things a certain way and now, and his
1:27:06 point was, I just I have all these
1:27:08 ideas. AI just lets me get these ideas
1:27:11 out of my head.
1:27:14 He's like, I [ __ ] love it.
1:27:17 He's not He's not tied to how he does
1:27:20 something.
1:27:22 What he's tied to, what he's clear about
1:27:24 is
1:27:27 I can now do [ __ ]
1:27:31 He had a buddy
1:27:34 has a buddy. I think he's this is what
1:27:36 he's going to show us on Tuesday night.
1:27:41 That's starting a uh
1:27:44 um a spice rub company,
1:27:49 you know, like like dry rubs. And and
1:27:52 and
1:27:53 the buddy came up with like a little
1:27:55 chili cartoon character, right? Like
1:27:58 it's a little dude.
1:28:01 And Robert over the weekend
1:28:05 created an entire marketing campaign.
1:28:08 Not even a campaign, an entire
1:28:12 just everything. He created four other
1:28:15 characters or four total characters for
1:28:16 the four different rubs. He created a
1:28:18 world that they live in. He created a
1:28:21 children's
1:28:23 movie, an adult version of the movie. He
1:28:26 created songs, 40 45 songs
1:28:30 about chili rubs and hot chili. I don't
1:28:34 [ __ ] know. Over the weekend, he took
1:28:37 a single character and built an entire
1:28:39 [ __ ] brand execution out of it.
1:28:44 That it'll probably take this guy a year
1:28:46 to deal with. He did it over a weekend.
1:28:52 So, that's who's going to be speaking
1:28:53 there. like who speaks at the present
1:28:55 meetings are people that have got some
1:28:57 version of this figured out.
1:29:00 So you should be at that. So right here,
1:29:02 AI salon presents in in the in the in
1:29:04 the community thing. Click on that. Say
1:29:07 yes, I'm going to go to that. There's a
1:29:10 community feed where you can just show
1:29:11 off [ __ ] that you're doing or talk about
1:29:13 things or ask questions. There's a
1:29:14 community chat.
1:29:16 There's announcements for what's coming
1:29:18 up
1:29:21 in the play and create area. Look what I
1:29:24 made. You can go show off your work.
1:29:25 Show off your songs or your pictures or
1:29:27 your movies. AI learning lab. That's us.
1:29:29 We have our own space. You can just go
1:29:31 hang out and make fun of me. Let's see
1:29:33 how far down we have to go before
1:29:35 there's there's a version of me.
1:29:40 You can go you can go make fun of me.
1:29:41 Why would you not do that?
1:29:46 Um, and then there's this thing called
1:29:47 the mastermind. And the mastermind is a
1:29:49 subscription area. So the AI salon is
1:29:51 free. You get all this stuff for free.
1:29:54 There's a subscription area and in the
1:29:57 subscription area, one of the things
1:29:58 that we've designed is a thing called
1:30:00 the AI salon mastermind practice.
1:30:04 And if you're a member of the
1:30:06 mastermind, you get to come to these
1:30:08 weekly meetings that I host with, well,
1:30:10 Liz Miller Gersfeld really leads them,
1:30:12 but I co-host with her.
1:30:15 And the people in there are designing a
1:30:17 daily practice around how they use AI.
1:30:20 The entire thing is about stripping away
1:30:24 all the chaos and freneticism of trying
1:30:26 to keep up with AI and getting back to
1:30:28 who am I? What do I care about? What do
1:30:32 I want?
1:30:34 And then once you understand that, then
1:30:36 figuring out how you use AI to amplify
1:30:39 that. It's amazing. the great repurpose
1:30:42 that we talked a lot about tonight.
1:30:44 There's going to be a whole area in the
1:30:46 mastermind with all sorts of different
1:30:48 resources and ways to connect people and
1:30:52 places for coaches to help other people
1:30:55 and people who need help to get coaches.
1:30:57 It's just we're figuring out all the
1:30:59 ways we can sort of blow the doors off
1:31:01 this idea of the great repurpose. That's
1:31:04 all going to be within the mastermind.
1:31:05 So, so learn about the mastermind and
1:31:08 join it and come come tomorrow. We've
1:31:11 got a meeting tomorrow of the practice
1:31:13 lab. So,
1:31:16 um yeah, go join the salon. All right,
1:31:19 that's it. That's all I got. That's it.
1:31:21 I'm I'm leaving.
1:31:24 I'm leaving on a jet. Don't know when
1:31:28 I'll be back again. Yeah. Um,
1:31:40 anything else, questions, thoughts?
1:31:43 Thanks, bro. Great stuff. Thanks, Music
1:31:45 Dave Dreamer. Please, please join the
1:31:47 salon and please keep coming back here.
1:31:49 The whole purpose,
1:31:51 what you might have noticed tonight, if
1:31:54 if I think you were here for most of the
1:31:56 night, is I said we're going to go look
1:31:58 at X tonight. We're going to go learn
1:32:00 about some new AI stuff. Sometimes we do
1:32:02 that stuff, sometimes we don't.
1:32:06 The purpose of this channel is not about
1:32:09 me.
1:32:11 I'm not going to necessarily teach you
1:32:13 anything. I don't know that I really
1:32:14 have a ton to teach you.
1:32:17 What this is ultimately about is as I'm
1:32:19 babbling on about whatever the [ __ ] I'm
1:32:21 talking about, this is a this is a a
1:32:24 space for you to just be in the
1:32:27 conversation.
1:32:29 And maybe if I say something and it
1:32:31 triggers you, you're like, "Oh yeah, let
1:32:32 me go try that tool." And while I'm
1:32:34 talking, you're over in Suno making a
1:32:36 song going, "Oh [ __ ] I didn't know it
1:32:39 had a a mixer in it and a I can split
1:32:42 these into tracks. Holy [ __ ] what do I
1:32:45 do with that?" And you look up and then
1:32:47 I'm doing something else. You're like,
1:32:48 "Oh, that reminds me." Look over just
1:32:51 being in the conversation
1:32:53 is what this is about because you can't
1:32:56 keep up with it.
1:32:58 You can't master it.
1:33:02 The only thing you can do is kind of be
1:33:04 on the ride.
1:33:06 Like we're we're
1:33:08 what this is is like a little surfing
1:33:10 club. There's this tsunami coming. This
1:33:13 [ __ ] radical,
1:33:16 you know,
1:33:18 never seen before on Earth tsunami
1:33:20 coming fast.
1:33:23 And we're like renting surfboards and
1:33:25 people like I don't know how to surf.
1:33:27 It's like, "Okay, it's whatever. Come
1:33:28 on. We'll teach you how to paddle. All
1:33:31 you have to do is this. Okay, I can do
1:33:32 this. I'm tired. Keep doing this."
1:33:36 Right?
1:33:39 Some of us are surfing the little waves.
1:33:41 Some of them are surfing the big waves.
1:33:44 But we're all just out in these [ __ ]
1:33:45 choppy, weirdass waters waiting for this
1:33:48 thing to come. Does it come this year?
1:33:50 Does it come next year? Does it come
1:33:51 five years from now? I don't [ __ ]
1:33:52 know. No one knows.
1:33:55 But I know that I'd much rather be on a
1:33:57 surfboard in the water than I would be
1:33:59 on the shore.
1:34:02 So that's what this is about. So just
1:34:04 keep coming back. All right.
1:34:09 All right,
1:34:11 Kyle, you spent three years teaching us.
1:34:14 You'll be teaching. Exactly.
1:34:18 Finding our way together. That's it. All
1:34:21 right. All right, everyone. Um, have a
1:34:24 good night. Tomorrow is Thursday
1:34:26 evening. I don't think anything's going
1:34:28 on. Yep. Tomorrow night. All right. See
1:34:31 you guys later. Bye.