1/14/2026 How AI Solved Unsolved Math Problems and Redefined Trust and Authority

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0:02 That's going to live. That's life. Okay.
0:05 You ready, Champy?
0:08 No.
0:30 It's not simple to say.
0:34 Most days
0:36 not recognize me.
0:41 That place and its patience
0:43 have taken more than I gave them.
0:48 It's not easy to know.
0:51 I'm not anything like I used to be.
0:55 Well, it's true. I was never attention
0:58 sweet centered. I still remember that
1:02 girl. She's imperfect,
1:06 but she tries.
1:08 She is good, but she lies.
1:12 She is hard on herself.
1:16 She is broken and won't ask for help.
1:20 She is massive. She's kind.
1:24 She's lonely
1:26 most of the time. She's all of this
1:29 mixed up and B beautiful.
1:34 She's gone, but she used to be mine.
2:02 Good day, good people. I'm
2:06 not perfect. Well, I I'm never perfect,
2:10 but I'm a little under the weather, so
2:14 this will either be genius or a
2:16 disaster, or I'll just be like, I'm
2:18 tired. I'm going to bed. Could be that,
2:21 too. Um, I can't tell at this point if
2:24 I'm feeling crappy because I'm still
2:26 fighting off this sickness or because
2:29 I've been essentially laying down for 48
2:31 hours straight. Probably both. Yeah,
2:34 exactly. Thank you. Thank you. Welcome
2:37 back. I appreciate that.
3:05 Oh yeah.
3:21 Oh
3:26 yeah.
3:54 Bum bum bum.
3:58 Um,
4:01 Highway Man. Uh, I only know 17 songs
4:06 or some amount. It's some amount that's
4:08 small. So, requests and me don't go well
4:11 together. If you know depressing
4:13 Americana,
4:17 I I might have a chance of knowing it.
4:24 Tik Tok Tik Tok came off.
4:27 Low.
4:29 What? Oh, like this.
4:32 That is that what you meant.
4:48 Oh, yeah. Danielle got a job. got a job
4:52 in AI creating content with a creator
4:54 who has three and a half million
4:56 followers. Danielle, congrats. That's
4:58 awesome. First of all, you deserve it.
5:00 Second of all, it sounds like it's in
5:02 line with who you are, what you're
5:04 about, your values. Super cool. And like
5:07 you're really good at this stuff, so
5:09 doesn't surprise me at all. I think
5:11 that's awesome. Congrats,
5:22 You know, one of the things we talk
5:24 about a lot in here
5:28 is just keep putting yourself out there,
5:32 play with this stuff, explore, learn,
5:37 and let people know what you're up to.
5:43 Um,
5:44 grandkitty's staring at the TV looking
5:46 very puzzled.
5:49 He had never heard champ apparently.
6:03 Yeah. Isn't that cool for Danielle? It's
6:04 so good. It's so good.
6:08 I'll tell you what. One of the things
6:09 that makes that that makes me the
6:11 happiest in this channel is when people
6:13 in this channel um
6:17 you know are just end up doing things
6:19 that are like like good and surprising
6:24 and a direct result of of the time and
6:28 passion you put into just being a part
6:30 of this community, but also whatever
6:32 you're doing for yourself and putting it
6:34 in the world. You know, you just you
6:36 become a model for other people in the
6:38 community.
7:32 If I go into bouts of silent silence
7:35 tonight,
7:37 that's just because
7:40 I just realized I was like just gone.
7:45 I think that's how tonight might be.
7:48 What? What? Oh, Kake, I have a job, too.
7:50 Awesome. Congrats.
7:57 Personal int Google personal
7:59 intelligence. What about it?
8:01 Could be something to look at. Oh, it
8:04 launched. Okay.
8:08 Is it just in the Gemini app or is it in
8:10 Is it in regular Google stuff?
8:20 inside Gemini. Okay, cool. Um,
8:26 yeah, there's there's there's lots of
8:27 stuff launching. Um, you know, I I
8:30 continue to be with all of you
8:32 overwhelmed with all the stuff that's
8:34 launching. I can't tell what's a feature
8:35 anymore, what's a major new model. Um,
8:40 one of the things I've been thinking
8:41 about for the AI salon is um,
8:46 you know, I'm I'm feeling more and more
8:49 and more like um,
8:54 the thing that's most important for all
8:56 of us is to really understand who we
8:59 are, what we value,
9:04 the the the things we want to do in the
9:07 world, you know the change we want to
9:09 make if we if we want to make change
9:12 and that that's the primary focus and
9:14 that the tools are secondary but I'm
9:16 also realizing that there's a lot of
9:18 people coming to the salon that are just
9:20 like how do I use chat GPT how do I get
9:22 started so one of the things we're
9:24 looking at now is how do we put together
9:25 content that's like basic intro content
9:29 I did a I did a fiveday back to basics
9:32 thing here I don't know four months or
9:34 so ago and I'm thinking of digging out
9:36 that content and making that available
9:39 in the salon. And then uh we're talking
9:41 about some other stuff that could be
9:43 really exciting. So anyway, if you're if
9:45 you if you have a if if you're an
9:48 irregular
9:50 and you have a desire to do any kind of
9:52 tutorial kind of content,
9:55 um connect with producer Brandon or with
9:58 Vicki or with Andy, whoever you might
10:00 have a relationship with
10:03 and just let them know that might be a
10:04 possibility cuz I think that could be
10:06 something that would be good for all of
10:08 us that we have an area for uh
10:12 true beginners. to to just
10:16 how do I start? What's a prompt? What's
10:18 the best prompt? Those questions, you
10:21 know,
10:24 Silverf Fox, I've been narrowing down as
10:26 well. Which ones you considering
10:43 Oh wow, KKE, awesome. That's amazing.
10:47 I started cancing some sub subscriptions
10:49 today. Narrowing it narrowing it down
10:52 for phase two. That's so good, Silver
10:54 Fox. I think this idea I think this idea
10:58 of of simplify it's it's a weird it's a
11:02 weird thing.
11:04 It's it's about simplifying, but it's
11:06 not just simplifying to simplify, is it?
11:09 It's like start to think about
11:13 what it is you want. What do you want
11:15 more of?
11:17 And then what are the tools that give
11:19 you
11:21 more of that? And not just AI tools,
11:24 right? Tools could be things like
11:27 doodling, crocheting, pottery, cooking.
11:31 Tools could be like diving deeper on
11:33 midjourney. It could be like I'm going
11:35 to learn really learn vibe coding and
11:37 how to do a a truly scalable app with
11:39 vibe coding
11:42 like the the implementation
11:46 is way less significant. But that I
11:49 think this idea of focus,
11:52 this came up on the we had the the AI
11:54 readiness project podcast today, Ann
11:57 Murphy and I and we were talking about
11:58 this idea of
12:01 she was just saying she feels like
12:03 people are showing up to she leads AI
12:05 just like a level more serious.
12:08 They're just like if they're coming in
12:10 they're like if I'm going to learn I'm
12:11 going to [ __ ] go all in. I'm going to
12:12 show up to all the meetings. I'm going
12:14 to watch all the videos. I'm going to do
12:15 the [ __ ] So people are people are
12:18 starting to realize they gotta they
12:20 gotta they got to step into it.
12:24 VO3.1
12:26 ingredients to video is getting more
12:28 expressive. Portrait mode has arrived.
12:30 Yeah, I saw that. I I thought that VO3.1
12:34 had portrait mode, but I guess they
12:36 didn't.
12:37 Um,
12:39 I'm still waiting for someone to do long
12:42 form uh character animations that's
12:44 better than Hedra because Hedra is not
12:47 Hedra's aging not great and I haven't
12:49 seen anything better than it. So, I
12:51 don't know if anyone knows of anything
12:53 where you can take like a long form
12:54 recording like a three minute recording
12:56 of someone talking or a song and then
12:59 have the the thing animate it. Who Who's
13:02 doing that well right now? Does anyone
13:04 know?
13:05 Mimi. Yeah. Yeah. When I join Sheile
13:07 Leads AI, it's going to be for laser
13:10 focus on certification. There you go.
13:12 Exactly.
14:01 I'm currently translating a caregiver
14:03 cove app into French, Spanish, Filipino,
14:07 and Russian.
14:09 Oi, it's work.
14:13 Do you speak all those or are you using
14:15 AI to do that?
14:29 AI shleing.
14:33 It's still work. It is still work. Yeah,
14:35 the translation stuff is really cool
14:37 with AI, but but it's a lot of work to
14:39 like get it validated and
14:45 certified.
15:07 I can speak English, American, and
15:10 Australian.
15:15 Steo, what's happening, Steo?
15:19 What are you going to do tonight?
15:23 I just There's something about
15:24 completely unplugging. Like I uh
15:30 I just did a couple of meetings
15:31 yesterday from bed, camera off, and then
15:34 I did little of that this morning with a
15:38 big long nap and then did the uh podcast
15:41 with Ann with a couple of bit story
15:43 meetings.
15:44 Uh and then what did I do?
15:48 I think I just got dinner and
15:53 waited for this. Oh, I watched a shitty
15:55 TV show.
15:57 I beat Steo. I speak English, American,
16:01 Australian, and sarcasm.
16:07 That's like a vacation day for you,
16:09 Kyle. Well, it is Silver Fox. And that's
16:12 why I'm like
16:15 I'm I'm learning something about myself
16:18 right now.
16:20 that
16:22 part of how I manage to do so much
16:26 is continuity,
16:28 right? If I don't take a break, I can
16:31 maintain all these parallel
16:33 conversations in my head. You know,
16:35 here's the AI salon conversation, here's
16:37 my book, here's my play, here's my
16:39 company, here's my, you know, this like
16:41 I've got all these different things. And
16:43 so when I completely unplug, I kind of
16:46 come back and I'm like, what was I
16:47 doing?
16:50 God, that's a lot.
16:59 Oh, man. If you stop spinning the
17:02 plates. Yeah, exactly. It's like right
17:04 now the plates are all wobbling and I'm
17:06 kind of looking at him like, "Huh?"
17:12 Oh, good lord. Good lord. Good lord.
17:22 I'm the opposite if I don't speak it out
17:23 loud for a week. Oh yeah, that's
17:25 interesting. Yeah,
17:30 I've been going down a massive massive
17:32 rabbit hole re researching the AI proved
17:38 Liam lean math problems. Are those the
17:40 uh the propesed whatever those are
17:42 called?
17:44 Hang on. Let me see what they're called.
17:47 It seems pretty fascinating. Math
17:51 unsolved.
17:54 Oops.
18:08 Erdos
18:16 Erdos problem 728.
18:20 For context, Paul Erdos left 1500 plus
18:23 unsolved math problem. Unsolved problems
18:26 with cash prizes.
18:30 Is that the stuff you were running down?
18:32 Yes, the ones you mentioned the other
18:33 night. What did you learn in your rabbit
18:36 hole? cuz I didn't I didn't run down the
18:38 ma rabbit hole largely because I don't
18:40 understand math well enough to
18:42 understand what they are. But actually,
18:44 now that we come to think about it,
18:46 okay, this is
18:48 is this going to be my cheat night? So,
18:51 so this week I took a night off and I
18:53 might have a cheat night tonight. So,
18:54 rather than doing my practice, let's
18:56 just go [ __ ] around.
18:58 Um, all right. Let me I got to share my
19:00 screen because apparently y'all want to
19:02 see what I'm doing while I'm doing it.
19:05 It's exhausting,
19:07 but I'll do it for you. I'll do it.
19:12 Okay.
19:32 Okay. I just I have to go on record and
19:34 say
19:37 when when your talent is sick and you
19:39 have a producer who's not sick, that
19:43 producer can appear to the talent like a
19:47 bully.
19:51 He's he's right on it. The minute I
19:53 don't have the black bar there, he's
19:54 writing pathy piffy little jokey
19:57 comments. You gonna consider solving the
19:59 black bar problem?
20:02 I'm not quick enough to respond.
20:05 You don't get special treatment. That's
20:08 good. Brandon knows. There's no crying
20:11 in baseball.
20:12 Okay, here we are. We're at GPT 5.2.
20:17 So, we're going to say, hey, three of
20:21 the
20:24 airdos math problems were solved
20:30 this week.
20:32 Here's a tweet
20:36 on one of them.
20:41 Bang. So then what I'm going to say is
20:44 what were the other two
20:48 and explain
20:53 the
20:56 I don't even know how to prompt this.
20:59 Explain the the significance
21:05 of each problem
21:10 in a way
21:13 that even a guy with an acting degree
21:19 could understand.
21:22 Listen,
21:23 I'm not saying people with acting
21:25 degrees could not possibly be high-end
21:29 mathematicians.
21:31 It's possible.
21:33 I'm just saying you could generalize to
21:36 say that someone with an acting degree
21:38 might not even have heard of the 1500
21:40 plus airdose problems.
21:46 If you're new here,
21:49 welcome. I don't know what we're doing
21:51 tonight. I don't think you'll learn
21:53 anything,
21:55 but please join us.
21:58 Ocean's here. Ocean will ask good
22:00 questions. Ocean, come up with a good
22:02 one. You always ask good questions. You
22:04 sent me off on a on a tangent the other
22:06 night. It was good. Nor nor has an
22:09 English major heard of these these
22:11 things.
22:15 Liberal arts majors, unite. unite
22:19 against the mathematicians and their
22:21 fancy theorems and proofs.
22:28 Oh man,
22:34 the other two between besides 728 are
22:37 729 and 397.
22:40 Uh oh, my phone's dying. Hang on, I
22:42 gotta charge.
22:44 Man, I I can Have you ever been
22:48 Well, here's what's weird about my
22:50 sickness.
22:51 I don't have a fever, but I've got like
22:54 crawly skin like you have when you have
22:58 a fever, but I don't have a fever. I'm
23:00 not congested. I don't have a cough. I
23:03 don't have any chest congestion.
23:05 But my brain is it's like the
23:11 it's like the synapses have been filled
23:13 with marshmallow
23:15 marshmallow paste. So, it's like I have
23:17 a thought and I can literally see it
23:18 going
23:21 across the marshmallow paste across my
23:23 brain. My brain is acting really slow
23:25 tonight. So, so producer Brandon fully
23:29 exploiting that. You all can too. Um,
23:34 my brain's felt like that for the past
23:35 three years. It points to a reality
23:38 where AI assisted outputs that society
23:41 can trust verify are auditable.
23:45 Well, yeah. I listen I think that I
23:47 think that
23:50 well I think I think how it probably
23:52 goes Cam is that right now because AI is
23:56 so janky like we don't trust it at all.
23:59 Like if if you trust anything AI says
24:02 you should just not you should just stop
24:04 that. And so when when these things say
24:07 they solved a math problem,
24:10 there's a guy in this case who who
24:12 validates these proofs and and says
24:14 whether they actually solved them or
24:16 not. Um
24:18 but
24:21 there's going to be a point at which
24:22 they're going to be good enough they're
24:23 going to be like, "Yeah, that's probably
24:25 just right. We're not there yet." But
24:27 okay,
24:30 729, why it matters, the actor friendly
24:33 version. Erdos Erdos provided or proved
24:38 a kind of speed limit for when two
24:40 factorials can fit inside another
24:43 factorial. If a bang bang divided by
24:47 nbang, then a plus b can't be much
24:50 bigger than n
24:52 at at at most about n plus small
24:56 cushion.
24:58 Jesus Christ,
25:04 I'm so bad at math that I can't
25:06 understand the actor friendly version of
25:08 the explanation.
25:10 That's pretty bad.
25:16 Oh, good lord.
25:20 Why it's significant? Think of N prime.
25:23 I It's not N prime. N exclamation point.
25:26 What do they call that?
25:28 as a huge costume warehouse stocked with
25:31 prime factors
25:34 twos threes 57s in massive quantities
25:38 divisibility questions are basically do
25:41 we have enough of every costume to build
25:43 out oh piece costume piece to build out
25:46 this outfit small primes are like black
25:49 t-shirts and jeans they're everywhere so
25:52 the worry is are we being fooled by the
25:54 abundance of common wardrobe items
25:57 rather other than the rare stuff.
26:04 This is one This is one of the things
26:07 where mathematics and me just aren't
26:10 friends. Like there's they're just these
26:12 bizarre hypothetical
26:17 worlds that mathematicians just swim in.
26:21 And then if you if you take the time to
26:25 understand even the premise of the
26:27 problem
26:29 where I always go is like yeah.
26:34 So but it's that kind of thinking that
26:37 led to the transformer which gave us all
26:40 of generative AI. So I understand that
26:43 it's important but man it would sure be
26:45 nice if I had some sort of bridge to
26:48 this world. Tik Tok pin.
26:50 ask it what this means for the future of
26:53 AI and human interactions. Okay, great.
26:55 Um, rather than explain it,
27:01 tell me what you think this means
27:08 for the future of AI and human
27:12 interactions.
27:15 That's good,
27:16 Cam.
27:18 It means we're walking into a new social
27:21 relationship
27:24 where talking is no longer the the main
27:27 event. Joint problem solving is. And
27:31 that changes how humans treat each
27:33 other, not just how we use AI. Here's
27:36 here's what I think it implies for AI
27:38 and human interactions.
27:40 Trust becomes earned, not assumed. When
27:43 you stop trusting AI because it sounds
27:45 smart and start trusting it because it
27:48 can show work in ways that we can verify
27:51 formal checks, re reproduct reproducible
27:55 steps, audit trails, the vibe based era
27:58 fades
28:00 and the receipts era begins.
28:03 Authority gets weird. This is where this
28:07 is the place I think it's going. When an
28:09 AI can beat experts at certain kinds of
28:12 reasonings, humans won't just defer to
28:15 credentials. We'll defer to systems.
28:19 That shifts status from who are you to
28:22 can you validate that? Oh, that's
28:24 fascinating.
28:26 Expect more fights over who controls the
28:29 validation layer. I like that.
28:33 H that's fascinating.
28:36 collaboration becomes asymmetrical and
28:38 we'll normalize it. The normalizing
28:41 thing we I think we've experienced that
28:43 on this channel over three years that as
28:46 remarkable as something is we we
28:48 normalize it very quickly, right?
28:53 Um collaboration becomes asymmetric.
28:55 Most people won't use AI like a tool.
28:57 They'll work with it like a partner who
28:59 has infinite patience, no social
29:02 fatigue, and frightening recall. Humans
29:04 will bring bring taste, intent, context,
29:07 ethics, and narrative. Geez, kind of
29:10 like the practice, right? Um, afterlive
29:14 party on Corey's live tonight. She's
29:16 going to show us. Cool. This is cool.
29:20 The Caregiver Cove new app. Oh, very
29:22 cool. So, so maybe what Hey Corey, if
29:26 you want to pop up on screen here,
29:29 um, feel free to
29:33 just reach out to producer Brandon and
29:34 he can pop you up on on Streamyard and
29:36 you can tell me about it and then we'll
29:38 send people over there. If not, that's
29:40 cool, too. But if you want to pop up
29:42 here, that'd be cool.
29:44 Um, most people will not use AI like a
29:47 tool. They'll work with it like a
29:48 partner. Yeah, humans bring taste. The
29:51 new skill is directing, not doing.
29:53 Totally agree with that. Human
29:55 communication becomes more intentional.
29:58 This is the answer to this is sounding
30:00 like the AI salon mastermind practice.
30:06 If you can offload drafting,
30:08 summarizing, and planning,
30:10 the scarce thing becomes meaning. what
30:12 you actually want, what you value, what
30:14 you're willing to trade off. People who
30:16 can articulate intent clearly will feel
30:20 like wizards.
30:22 This is important stuff, people. Like,
30:26 even though this is answering what's
30:27 significant about these math problems,
30:30 this list right here is actually really
30:32 important.
30:36 People who can articulate intent clearly
30:38 will feel like wizards. People who can't
30:41 will feel increasingly powerless even
30:43 with superpowers in their pocket. Right?
30:46 Because if you're someone who's really
30:48 clear on who you are, what your values
30:51 are, and the change you want to make in
30:52 the world, you're going to be able to
30:54 look at AI capabilities and go, "Okay, I
30:58 wanted to do this."
31:00 And you know what this is and you know
31:02 what success looks like and AI will do
31:05 its thing and you'll go like, "No, no,
31:06 no." and you'll hone it and hone it and
31:08 hone it and you'll end up at the point
31:10 you want to get to. Someone else is just
31:12 like, I want AI to do something cool and
31:16 it'll do something cool, but there's no
31:18 direction. There's no intentionality to
31:20 it. That that feels very right to me
31:22 that that's where we're headed. We'll
31:24 bond with AIS,
31:26 but the real impact is how we bond with
31:28 humans. You'll see more people practice
31:30 hard conversations with AI first, refine
31:32 apologies, rehearse boundaries, workshop
31:35 empathy. This could mean human
31:37 relationships, this could make human
31:39 relationships better or make them feel
31:42 more curated and less raw.
31:45 Some people will prefer the safe
31:47 version. I think the counter that to
31:50 that is some people are going to prefer
31:53 raw shitty interactions that aren't
31:56 cleaned up.
31:58 Important for whom? Kyle, let's see.
32:02 Wait, wait, wait. What did Andy say?
32:04 important. How is this revoly in any
32:07 way? Um, okay, hang on. Well, it might
32:11 not be re revvelatory, but this feels in
32:14 line with where I think things are
32:15 headed. Trust becomes earned. We stop
32:18 trusting AI because it sounds smart and
32:21 we trust because it can show work in way
32:25 so it can be it can be validated. That
32:27 that's fine. Whatever. Authority gets
32:29 weird. When AI can beat experts with
32:31 certain kinds of reasonings, human won't
32:33 just refer to credentials will defer to
32:36 systems. The the shift
32:39 that shifts status from who are you to
32:41 can you validate that? I think that's
32:43 important. I think right in right now's
32:45 in today's world, who are you
32:49 is a way that we we sort of imply trust,
32:53 right? If you went to the right school,
32:54 we're going to trust you. That that will
32:57 start to fade. I think that's right.
32:59 Collaboration becomes asymmetrical. Most
33:01 people won't use AI like a tool. They'll
33:03 work with it like a partner. No social
33:06 humans will bring so I don't know if
33:08 this is revoly but this is this is what
33:10 I believe deeply. Humans will bring
33:13 taste, intent, context, ethics and
33:15 narrative to AI and that our value will
33:20 be bringing those things.
33:23 Um human communications will become more
33:25 intentional. If you can offload
33:28 drafting, summarizing, and planning, the
33:30 scarce thing becomes meaning.
33:33 What you actually want, what you value,
33:35 what you're willing to trade off. People
33:37 who can articulate intent clearly will
33:39 feel like wizards.
33:41 People who can't will feel increasingly
33:44 powerless. That feels that feels I don't
33:46 know if it's revvely to me.
33:49 People who can articulate intent will
33:51 feel like wizards. That feels right to
33:52 me. Corey's here. Oh, cool. Is Corey
33:55 backstage?
33:57 Yes.
33:58 >> Hey.
34:00 >> Hey everybody. How you doing?
34:02 >> What's happening?
34:04 >> Well, I've been going talking about
34:05 rabbit holes. Holy hump and holy holy.
34:08 So,
34:09 >> I've I've done this this app for
34:12 caregivers who are taking care of people
34:14 with Alzheimer's and dementia.
34:16 >> And it's called Caregiver Cove. And I've
34:19 done it in Lovable.
34:21 And I have sort of stretched the lovable
34:24 bounds kind of like a very big balloon.
34:27 You know how we like circus balloons.
34:30 >> I'm kind of asking it to do a whole lot.
34:33 >> And there there's that there's that
34:34 aching four minutes where you keep
34:36 blowing them up knowing it's about to
34:38 blow, but it hasn't quite blown yet.
34:40 >> But it's doing it which is incredible.
34:42 Like it's absolutely insane how much I'm
34:45 packing into this thing. So, for
34:47 example, yesterday I decided, so I have
34:50 a section on here and I'll I won't take
34:52 off all of this time, but I'll just tell
34:53 you a couple of the components and then
34:55 how I got into this mess that I'm in
34:57 now. So, I have this one component that
35:00 allows for a user to take their phone,
35:03 put it under their chin, and go into a
35:06 breathing sanctuary
35:08 >> where there'll be a brain stimulation of
35:12 sound going from side to side. And it it
35:15 gives the user which is the caregiver
35:18 all these lovely thoughts and lovely
35:19 sounds so they can just have a minute of
35:21 respit almost.
35:22 >> Uhhuh.
35:23 >> And then I thought wait a second I also
35:25 should give them a full proper guided
35:27 meditation. So then I went into garage I
35:31 went into chat GPT and I made a custom
35:34 GPT back when we were making all those
35:36 GPTs
35:38 >> and it was called Mindmate and another
35:40 one called Zen Friend. And what they did
35:43 was you could put in anything that you
35:45 needed to work on, anything you were
35:46 upset about, anything that was sore, if
35:48 you had a locked jaw, if you had a
35:49 busted shoulder.
35:51 And I like fairies and I like deer and I
35:54 like babbling brooks. And it would
35:56 create a meditation for you and work on
35:59 those parts of you that really needed
36:00 work. So I went, I'm going to go into
36:03 that and I'm going to say, I want to
36:04 create a guided meditation for
36:07 caregivers of Alzheimer's and dementia
36:09 people. Mhm.
36:10 >> I want it to be generic enough that a
36:12 man, a woman, any nationality can
36:14 understand it and enjoy it, but it was
36:17 in English. So, I got that written down.
36:20 Then I took it back into chat GPT, my
36:22 project, and I said, "Clean this up. I
36:25 want it to be even better. You're the,
36:28 you know, the marketing manager here.
36:29 You're the blah blah blah blah blah." It
36:32 did that. I then spoke that into
36:34 GarageBand. I went into Sunno. I made my
36:37 own music to lie underneath it as a
36:40 lovely meditative music.
36:42 >> I I compressed all of that and brought
36:46 it back in. So now you click on a little
36:48 area and it's a guided meditation and
36:50 you then hear Corey talking through your
36:54 guided meditation. Then I realized I was
36:57 talking to a cousin of
36:58 >> Oh, you recorded it. You recorded you
37:00 saying it in Garage Band. So it's you
37:03 being your soulful self. Oh, that's
37:05 beautiful. Yeah, with my choice of music
37:08 because I went looking for music and
37:09 there's lots of it out there, right?
37:11 >> Yeah. Yeah. Lot lots of wave files I
37:12 could have downloaded.
37:14 I hope you got some cello in the
37:16 meditation music.
37:17 >> Well, actually there wasn't cello in
37:18 this either, but there was very gentle,
37:20 calm, lovely Coreyish music, right? So
37:25 brought that in, put that in there. And
37:28 then I realized that at least in Canada
37:32 and in my own family, there are a lot of
37:35 caregivers that are supportive of family
37:38 members who come from other
37:41 places.
37:43 We have a very large Filipino community,
37:45 a large Russian community um that end up
37:48 doing that sort of caregiving work in
37:50 our hospitals and whatnot as well.
37:52 >> Mhm. So, I thought I should be
37:54 translating this. So, then I went down,
37:57 how do I translate this?
37:59 >> Wow.
37:59 >> So, I put it in the chat that there's a
38:02 a framework and and I found this out.
38:05 Thank you, Chat GPT. And I'm using I go
38:08 back and forth between chat GPT and
38:12 Gemini and Claude
38:15 >> because I'm in the middle of a project
38:16 and there's like there's so many
38:18 sections in the project that I don't
38:20 want to miss where I am right now
38:22 because I still have to go back to this
38:23 one and I don't so then I go over to
38:25 this other
38:26 >> Yeah, that makes sense.
38:27 >> LLM, right? Yeah.
38:28 >> So, what I've just done is I it said get
38:31 the framework in first. And the
38:33 framework is called
38:35 I whatever I just I I typed it in there.
38:38 I forget what it's called now, but it's
38:39 some framework. Um, so get that started.
38:42 And what it did is it and and I gave it
38:44 those four Spanish, English, French,
38:47 because French is our national language
38:49 as well.
38:50 >> Although many of us don't speak it.
38:52 Hands up. However, I want to make this
38:54 accessible. I want to make this a really
38:56 important app that'll be used in maybe
38:59 in schools like u maybe in nursing,
39:03 maybe in facilities that they can then
39:05 give out to their
39:08 primary care teams for families, for a
39:11 daughter, for a spouse, for a anybody,
39:14 for anybody who's caregiving or who's
39:16 around somebody with Alzheimer's in our
39:18 hour. I say our like I'm talking to
39:20 everybody else there. There are many of
39:22 us who have this color hair who we are a
39:25 growing group of people who are losing
39:28 our [ __ ] minds.
39:29 >> Yeah.
39:31 >> And there's going to be a lot of us. I
39:33 my own family my my father passed away
39:36 from it.
39:37 >> My stepfather has it like
39:39 >> Yeah. My father did too. So yeah.
39:41 >> Okay. Yeah.
39:42 >> If I would have had what I'm making I
39:45 think it would have been well not me
39:47 personally. I shouldn't say that. If I
39:49 was indirect like every day with the
39:51 person,
39:53 >> it has a scenario section, it has a help
39:56 section, it has a resource section that
39:58 takes you based on where you live to the
40:00 Alzheimer's society of your country
40:03 city, wherever that is. Um, it has a
40:06 whole bunch of like you're doing fine or
40:07 here, take a breath here or it's it's
40:10 really quite robust.
40:12 >> That's cool. And so what you're going to
40:13 do later is you're gonna you're going to
40:15 show people you're going to walk people
40:16 through it. Well, Mimi wanted to know
40:18 about the how I'm doing this translation
40:21 now because I have to
40:23 >> I could only get the the first section
40:25 in which is the the um the menu.
40:27 >> Mhm.
40:28 >> See if anything broke. Nothing broke. So
40:30 now what I'm doing is I'm taking the TS
40:32 file of each of these huge databases of
40:35 like 300 stories that are dripping every
40:38 week on this thing.
40:40 >> It starts with about 120, but then
40:42 there's going to be more. So, I'm going
40:43 to take the TS files of all of the
40:46 different database parts that I have.
40:49 I'm bringing them into
40:51 Gemini. I'm saying, "Break these down
40:54 into batches so you don't screw up."
40:57 >> Mhm.
40:57 >> Then I want you to translate this batch.
41:02 Uh let's say there's five batches in a
41:03 category.
41:04 >> Yep.
41:05 >> Translate each of those so that I can
41:08 then have JSON files like I'm a potter.
41:10 I don't know this stuff.
41:13 bring all of these things.
41:14 >> This is like I this we're hearing this
41:16 again and again. I mean this Liz Miller
41:17 Gersfeld was like this. She's like I'm
41:19 not technical and then now she's you
41:21 know she uses Claude code and GitHub and
41:24 you know like we're all figuring this
41:25 stuff out. It's so cool
41:27 >> and it just goes on just rabbit holes.
41:29 Yeah,
41:29 >> rabbit holes and rabbit holes. You can
41:31 have you played with translating the
41:33 guided meditation.
41:35 >> I have not yet but I pro because I am
41:38 not using I've never used 11 labs and
41:40 those kinds of things.
41:41 >> Okay. Yeah, I was just going to say 11
41:43 Labs and Hey Jen can probably do it
41:45 wholesale where you just upload your
41:47 thing and it'll just translate it in
41:49 your voice in those languages.
41:51 >> I probably should do that with 11 Labs.
41:53 >> Yeah,
41:54 >> I don't need to do I'm not doing any
41:55 visuals during that because I'm hoping
41:57 people will close their eyes.
41:58 >> Yeah. Yeah. Yeah, that makes sense to
41:59 me.
42:00 >> I thought about it.
42:01 >> Yeah, but I 11 Labs should be able to do
42:04 that just wholesale.
42:05 >> Yeah, that's a great idea. I I hadn't
42:08 done that yet. I hadn't gone to that
42:10 place yet.
42:11 >> Yeah. No, leave it to me to add more
42:13 stuff to your plate.
42:14 >> Oh my god. Wait. What I'd love though,
42:16 Kyle, if if you're up for it and given
42:18 that you've had a family member with
42:20 Alzheimer's.
42:21 >> I'd be happy if you want to be one of
42:22 the testers of this and try and break
42:23 it. Say this doesn't work.
42:25 >> I I am famous for finding bugs quickly.
42:28 >> There will be a lot of them, I'm sure.
42:30 >> Yeah. You know,
42:31 >> and what's your what's what's the
42:32 ultimate goal? When when do you want to
42:34 launch it? Do you know like and and is
42:36 there like a business model? Do you want
42:37 to give it away? What's your what's your
42:39 goal with it? My goal is for a monthly
42:43 and a yearly subscription and then a
42:45 premium tier for agency, schools,
42:49 >> um, long-term care facilities that they
42:51 can then give it
42:53 >> to people who are there
42:54 >> as well as suggest it to families.
42:57 >> So, I'm I'm thinking way bigger than I
42:59 have dare the right to think about. But
43:01 I think
43:03 >> No, no, you
43:05 so you where where your mind is going. I
43:09 mean, I'm telling you, man, this is the
43:11 future we're coming into. If your
43:13 instinct is I want to think bigger,
43:14 think bigger.
43:15 >> Yeah.
43:16 >> Why not?
43:17 >> Why not?
43:17 >> It's a It's an odd place for me because
43:19 I'm very used to keeping things very,
43:21 you know, just
43:22 >> make stuff for me because I like it.
43:24 >> Keep it safe.
43:26 >> Keep it safe. Yeah.
43:27 >> But it's your fault. I just want you to
43:29 know that this is entirely and utterly
43:33 your fault.
43:34 >> Good. Well, I'm glad I could inspire you
43:37 to think bigger.
43:39 >> Wear that well
43:40 >> the crap out of me on a regular basis.
43:42 Probably 10 times a day, probably more.
43:44 So,
43:46 >> I talk a good game.
43:49 >> You talk a great game.
43:50 >> Thankfully,
43:51 >> if anybody wants to because Mimi asked,
43:53 I'm just going to show how I'm copying
43:56 and moving files so that they're
43:57 prepared to then move back into Lovable.
44:00 So, Lovable has a database in each of
44:03 those languages to use to make that
44:08 framework work.
44:09 >> That's that's super valuable. Yeah. If
44:11 anyone's playing and lovable and doesn't
44:14 even quite understand what what Corey's
44:15 talking about, that's Go hang out with
44:18 her after this. I'll try to I'll try to
44:20 end this like in 15 minutes or so, just
44:22 so you
44:23 >> Oh, don't do it on my account.
44:24 >> Well, I just, you know, I don't I don't
44:26 want everyone to be up super late and
44:28 I'm also half under the weather. My
44:29 brain is totally unfunctional at this
44:31 point. So,
44:32 >> all right. Awesome. Congrats, man.
44:34 That's that's amazing.
44:35 >> Thank you. Really, it is your fault.
44:37 >> Yeah. You're welcome.
44:38 >> And I'll see you tomorrow.
44:40 >> Okay.
44:43 That's great. All right. Let's go back
44:45 to
44:50 Tik Tok pin. Corey
44:53 UGC. And just like that, Corey is a
44:56 founder. Exactly.
44:59 Listen, man. This is this is the world
45:02 we're entering. I mean, quite honestly,
45:04 it's the world we're in, but right now,
45:07 you have to be um
45:12 you have to be really entrepreneurial
45:14 right now because you have to glue a
45:15 bunch of [ __ ] together. like all the
45:17 stuff Corey's talking about about having
45:18 to manually move stuff, you know, out of
45:22 lovable back into Lovable, all that
45:24 stuff. Like in the future, all that's
45:26 going to be transparent and instant. Um,
45:28 but then there won't be as much
45:30 opportunity. There's so much opportunity
45:31 right now to really just invent
45:33 yourself. So anyway, all right. So, back
45:37 to this the ma math problem solving
45:39 thing. So, Kyle, can you post some of
45:40 this to to the AI salon? Yeah, I think
45:42 what I'll do is I might have chat EPT
45:44 tighten this up a bit. Um, and then
45:47 Andy, sorry I'm spicy. You can be spicy.
45:50 I frankly I love it when people
45:53 challenge me. However, tonight my brain
45:55 is not all that functional, so I can't
45:57 hold more than half an idea in my head
45:59 at the time. Um, what does do it in 11
46:03 Labs wholes sale mean? Oh, just Todd
46:06 that um I'm pretty sure within 11 Labs
46:10 um she can just take her audio file in
46:12 English, pick a language and say
46:14 translate this into
46:17 Spanish or French or Portuguese. I
46:19 forget what the languages were that she
46:21 was using. Um she can just choose the
46:25 language and say just recreate the the
46:27 the audio file in her voice in a new
46:31 language. It's I think it's when I say
46:34 wholesale I mean it's just like a single
46:36 function. You don't have to jump through
46:37 a lot of hoops. Um but I haven't done it
46:40 in a while so I could be wrong on that.
46:42 And again you know brain brain is a
46:44 little mushy right now. All right. We'll
46:46 bond with AIs. Um the real impact is how
46:50 we'll bond with AIS but the real impact
46:52 is how we bond with humans. This is a
46:54 thing that I also think is going to
46:56 happen that the that the robots in a
46:59 weird way force us to be better humans.
47:02 Um, you'll see more people practice hard
47:05 conversations with AI first. Oh, this is
47:07 the thing where it was like refine
47:08 apologies
47:10 and so so conversations become curated.
47:13 That that's again that's one where I
47:15 think that I think some people will go
47:18 to this more curated kind of human
47:21 interaction. I think that the resist the
47:24 the push back against AI will be that
47:26 people will just be raw with one
47:29 another. A new etiquette will emerge.
47:32 Um, drop that into Notebook LM and map
47:34 it out. Oh, that's a good idea.
47:37 Okay. A new etiquette will emerge. AI
47:39 disclosure and credit hygiene. In the
47:42 same way we learned norms around
47:44 Photoshop and filters will develop norms
47:47 around AI assistance, when to say AI
47:50 helped, what counts as authorship, what
47:53 counts as cheating, what counts as
47:55 collaboration. Social trust will hinge
47:58 on these norms.
48:01 I actually don't agree with that. New
48:04 Tik Tok pin. I got Perplexity Pro for
48:06 one year. It's amazing. Agent mode. Can
48:10 browse the website
48:12 and even write posts. Yeah, Perplexity
48:15 is quite good. And I haven't used
48:16 Perplexity in ages. So, I'd be curious
48:19 to know how it is now. Mentorship
48:21 becomes scalable. That changes identity.
48:24 If everyone can have access to a
48:26 tireless coach, critic editor, then
48:28 talent looks different. More people will
48:31 ship more work. The identity crisis will
48:34 be if I can do it in a day, if if I can
48:37 do in a day what used to take me a
48:39 month, who am I now?
48:42 I think that's a puritanical
48:46 industrial revolution hangover. I don't
48:48 think that's going to last that long.
48:49 That guilt.
48:52 The conflict shifts from AI versus
48:54 humans to AI, humans with AI versus
48:57 humans with AI.
49:01 Interesting. The most important
49:02 interactions won't be you versus the
49:04 machine. That I agree with. It'll be
49:07 which people, teams, orgs have better AI
49:09 partners. That I disagree with.
49:12 I think it's it's not who have better AI
49:15 partners. I think it's which people,
49:16 teams, or orgs have the most clear point
49:19 of view. and better ideas that leverage
49:24 the AI to do better work,
49:27 better workflows, better evaluation,
49:29 better values. And that competition will
49:32 pressure society to define what good
49:34 means.
49:36 New Tik Tok pin. I don't see it. Let's
49:40 see.
49:48 Why is my phone all crooked?
49:51 Can someone explain how Apple's creative
49:53 apps
49:55 are going to compete with
50:00 how Apple's creative apps are going to
50:02 compete with
50:05 when they don't do their own AI?
50:08 No, I can't I can't explain to you why
50:12 Apple has their head so far up their ass
50:14 with AI. I I don't get it. I I mean,
50:18 their creative apps
50:20 I don't whatever this thing they just
50:22 launched was. I think it's just a
50:23 bundling of some of their most popular
50:27 apps. Maybe in a way to keep them
50:30 semi-relevant.
50:32 I I don't know. I
50:36 I mean they announced a deal with Google
50:38 yesterday that Gemini is going to be the
50:41 official
50:43 force behind,
50:45 you know, Apple. it's going to be their
50:48 their AI of choice because because they
50:50 didn't figure out how to do it on their
50:51 own. Um, no, I don't know. I I mean,
50:55 frankly, I I think that tools like the
50:59 Adobe suite and a lot of the Apple
51:02 professional creative tools, I think a
51:04 lot of these tools,
51:08 if they don't deeply integrate AI into
51:11 them, I think they're going to be in
51:12 trouble.
51:14 I
51:16 I I don't know. I don't know. I'm
51:18 flumxed. Apple Apple has me flumxed and
51:20 apppopleleic about about how how bad
51:23 they've screwed the pooch on this thing.
51:25 All right. If I had to put it in one
51:27 sentence, AI stops being a thing you
51:29 query and becomes a thing you relate to.
51:33 And that forces humans to renegotiate
51:35 trust, authorship,
51:37 authority, and intimacy.
51:46 H.
51:48 Um,
51:51 write this up as a
51:56 an article
51:59 that
52:03 talks about
52:07 what math problems were solved,
52:17 how they
52:20 were validated.
52:23 But more importantly,
52:26 how
52:28 this
52:32 more importantly,
52:35 what the future,
52:44 what this means
52:47 for the future of AI, of humans. and
52:55 relationships
52:56 to each other and AI or IIA.
53:02 All right. I'm sure Apple will figure
53:04 out the AI eventually, likely just using
53:07 Gemini temporarily. I agree with that. I
53:10 mean, they'll eventually get it. I mean,
53:12 here's the thing about Apple. They've
53:13 got buckets of money and they're not a
53:16 company full of stupid people, right?
53:17 They've got a bunch of smart people
53:19 there. Um,
53:22 it's just like I just I the thing that
53:26 I'm flung by is like how did the
53:28 corporate machine like so miss this?
53:33 Like how did someone in there not go uh
53:37 you know,
53:38 red alert, red alert, we've got to get
53:40 our [ __ ] together. It just hasn't
53:42 happened. It's amazing. Three artist's
53:44 problem fill in a week. The math is
53:45 cool. The human part is the real plot.
53:48 In the first two weeks of January 2026,
53:51 there's the airdose problem.
53:53 Okay.
54:01 How are they validated?
54:20 This is cool. An AI generated the
54:23 mathematical argument,
54:25 not just found a paper, produced a
54:27 workable line of reasoning. A proof
54:30 assistant pipeline forced it to be
54:32 exact. Lean, which is a methodology,
54:36 doesn't kind of accept a proof. It
54:38 either complies or it doesn't. Both 728
54:40 and 729 are marked as leanverified and
54:44 397 is leanverified as well. Human
54:48 mathematicians still played gatekeeper
54:50 reviewing whether the result answers the
54:53 intended question whether it's
54:55 non-trivial and whether it's genuinely
54:58 new or a restatement. Ta's comments in
55:01 the 397 thread
55:04 show a kind of that kind of scrutiny in
55:06 action. At least in one case, someone
55:08 wrote a human readable translation of
55:10 the lean proof and explained the method
55:13 in conventional math language for the
55:15 rest of the world to evaluate and build
55:16 on.
55:18 The combo creative generation and formal
55:21 verification
55:22 plus expert social acceptance is the new
55:25 tripod. And it's the tripod that changes
55:28 everything.
55:29 All right. And then it gets into
55:32 we're moving from trust the speaker to
55:34 trust the process.
55:36 authority gets renegotiated.
55:39 Actually, this moving from trust the
55:41 speaker to trust the process. This gets
55:43 into blockchain like you know um
55:49 blockchain verified like you know you
55:51 can you can trust the trust the
55:53 blockchain. It's all there all that
55:56 transparency stuff. That's fascinating.
55:58 Authority gets renegotiated. Some people
56:00 will not enjoy the negotiation. I agree
56:02 with that. centers of power are gonna
56:04 [ __ ] hate this this next 10 years
56:07 because the power is gonna shift.
56:10 It's gonna it's gonna suck.
56:15 For the people in power that are like,
56:16 "Well, this is the way it's always been,
56:18 son."
56:22 Uh, Tik Tok, I think we need to consider
56:25 the AI access inequality issue so we
56:28 don't
56:30 get locked into just one AI. I agree
56:32 with that. I absolutely agree with that.
56:36 Well, what's fascinating, Cam, one of
56:38 the things that I've I've heard some of
56:40 the people I respect talk about with
56:41 these AI models is as they're getting
56:44 stronger, they're getting more
56:45 convergent. They're they're converging
56:46 into kind of a single point of view. Not
56:49 that
56:51 not that they're all the same, but that
56:53 that basically that they're coming to
56:55 the same universal truths. Um, so it's
56:58 possible that that all AIs converge into
57:01 a single model. Um, which is the truth,
57:05 but I don't [ __ ] know. That's very
57:08 science science fiction for me still.
57:10 Um, collaboration stops being a
57:12 metaphor. Right now, most people still
57:14 treat AI like a fancy search tool.
57:17 All right, so I'm just gonna copy this
57:19 and I'm gonna go post it over. The
57:21 headline I can't stop thinking about
57:24 there. The trailer, the real movie is
57:26 this. We are entering an era where AI
57:28 can generate novel work and machines can
57:30 verify it. Which means human
57:32 relationships will reorganize around
57:34 trust, proof, credit, and intent.
57:40 Oh.
57:42 Um, you can remove any references
57:50 to acting.
57:54 Um, just give it to me straight.
58:07 Why is my phone crooked?
58:11 Hang on.
58:17 Is that better? I think that's better.
58:21 Yeah, that's better. All
58:24 right.
58:30 No matter how much they train against
58:31 it, you need to rotate two degrees.
58:34 Yeah, I did.
58:55 Bottom line, we now have a credible
58:58 pattern for AI assisted discovery that
59:00 can be mechanically verified. Most
59:02 people experience a collaborator
59:33 I don't like that headline.
59:36 I'm gonna I'm gonna not include that.
59:39 Okay.
59:44 Okay. Okay. So, where I'm going, I'm
59:45 heading over to the AI salon.
59:49 If you don't know the AI salon, you
59:51 should.
59:53 So, you come to the AI salon, you can
59:55 learn all about us and the cycle of AI
59:58 readiness. Play first, create
1:00:00 excellence, generously lead.
1:00:03 And then I'm going to put this in
1:00:07 community feed.
1:00:11 Yeah. I'm gonna say um
1:00:16 this was
1:00:20 an interesting enough
1:00:24 take
1:00:26 from chat GPT
1:00:30 on the three
1:00:36 air dodos
1:00:41 um math problems
1:00:44 that were
1:00:46 solved
1:00:48 last week with chat.
1:00:53 Okay. With chat GPT
1:00:58 5.2 to Pro
1:01:03 and what the implications
1:01:07 are for the future
1:01:12 of human
1:01:16 AI interaction.
1:01:19 Um, I did not
1:01:23 edit
1:01:25 this.
1:01:27 It is just this side of AI slop,
1:01:36 but interesting.
1:01:39 There you go. Boom. Okay.
1:01:44 Oh, wait. It [ __ ] up the formatting
1:01:47 really bad. Hang on a sec.
1:01:49 Oh, no. Let's see.
1:02:18 Still [ __ ] it up, didn't it?
1:02:23 H
1:02:27 Oh, let me try something else.
1:02:30 No. Oh, maybe.
1:02:34 Yeah, that's better. Okay.
1:03:16 There was [ __ ] up formatting. Let me
1:03:17 let me try to find it.
1:03:39 Maybe paste it as an article. Yeah, I
1:03:41 might need to paste it as an article.
1:03:51 Andy, are you still watching? Any any
1:03:54 advice?
1:03:57 I don't know what I'm doing. Um, how do
1:04:00 I paste it as an article? Share post.
1:04:05 How do I make this an article? Oh, post.
1:04:08 Is it here?
1:04:15 I'm not in water cooler. I'm in
1:04:17 community feed. Hit create in the upper
1:04:20 right.
1:04:22 Ah, cool. Beautiful.
1:04:24 Okay.
1:04:28 Did this do better? No, it still [ __ ]
1:04:31 all this stuff up. The statement roughly
1:04:34 here. Hang on. Let me try something
1:04:36 here. 728. The statement roughly.
1:04:41 Let me copy this here.
1:04:45 Go back here.
1:04:53 So, that worked. Okay.
1:05:03 Yeah, the Apple note [ __ ] up that
1:05:05 paragraph, too.
1:05:10 But hang on.
1:05:14 The archive write up.
1:05:17 Let's see. The archive right up. Okay.
1:05:21 Proved lean. Okay. So now, let me get
1:05:23 rid of all this crap.
1:05:30 Okay, that's good now.
1:05:33 Beautiful. Beautiful. Beautiful.
1:05:35 Beautiful. Okay. So now
1:05:43 going to pull that out. We're going to
1:05:44 drop a title in here.
1:05:48 We're going say um this was an inter I'm
1:05:54 going to put in square brackets
1:05:59 interesting
1:06:02 um
1:06:04 interaction
1:06:06 with chat GPT about the
1:06:10 three eros math
1:06:15 problems. s
1:06:19 that were solved
1:06:22 last week.
1:06:27 Uh I did not edit this so it is
1:06:36 just
1:06:39 beyond AI slop but is interesting.
1:06:44 What are
1:06:50 your thoughts? Question mark. Okay.
1:07:04 All right. Post
1:07:06 done.
1:07:08 Thank you.
1:07:12 We don't need to notify people of that.
1:07:15 Okay. Um I told Corey I would get out of
1:07:18 here sooner than later. I'm starting to
1:07:20 get like flop sweaty because look what I
1:07:24 made before you bounce. Okay. So in AI
1:07:27 salon also if you haven't played with it
1:07:29 if you go into look what I made people
1:07:31 make cool things. Brandon made
1:07:33 something. Let's see what he made. It's
1:07:36 officially Girl Scout time. Why just
1:07:38 order cookies when you can take a
1:07:40 personality quiz to help you decide?
1:07:43 Play along with our family's custom GPT
1:07:45 here. That's hilarious. You You did this
1:07:47 last year, too, didn't you, Brandon?
1:07:54 This is updated for this year's cookies.
1:07:56 All right, good. Hey, Brandon, you want
1:07:58 to you want to hop up on stage and talk
1:08:00 about your LOL since since I'm brain
1:08:01 dead and you can talk about this, too?
1:08:04 This is pretty cool.
1:08:08 Yeah, happy to happy to hop up. Uh, so
1:08:12 first of all, the cookie thing. Um, so
1:08:14 my daughter Naomi selling Girl Scout
1:08:16 cookies and uh last year when we were in
1:08:19 the throws of making GPT, custom GPTs, I
1:08:22 thought, well, I wonder if we could have
1:08:25 a GPT figure out which Girl Scout cookie
1:08:29 aligns with your personality.
1:08:33 I asked Chachi to do it and it came up
1:08:35 with a five question quiz that scans
1:08:39 your personality for like what type of
1:08:41 adventure do you like? Describe your
1:08:43 perfect weekend. And then at the end it
1:08:45 tells you what Girl Scout cookie most
1:08:48 resembles you. It also has advice for
1:08:50 like if you like chocolate, which Girl
1:08:52 Scout cookie is the recommendation. And
1:08:54 of course, uh, because it is girls
1:08:57 cookie season, the app ends with a link
1:09:00 out to my daughter's, uh, page if you
1:09:03 want.
1:09:05 >> That's genius and evil. It's It's evil
1:09:07 genius. That's good. Awesome. And then
1:09:10 what are you what are you gonna teach us
1:09:12 on Saturday? Um, so, so while you're eat
1:09:15 while you're uh when you're done
1:09:17 ordering your Girl Scout cookies on
1:09:19 Saturday, I am also doing uh a Vicki
1:09:22 Larn out loud to
1:09:25 go over my feat of strength, which was
1:09:29 going from thought to or from prompt to
1:09:32 publication in six hours using Amazon
1:09:34 Kindle Direct Publishing. So, we're
1:09:36 going to go through that entire process
1:09:38 in in delve deep, if you will. I feel
1:09:41 like we're reclaiming the word delve. I
1:09:42 feel like Delve is back on the list of
1:09:44 words.
1:09:44 >> We can use Delve again, I think.
1:09:47 >> Yeah. Yeah, that's the book.
1:09:48 >> That's the book. That's the book.
1:09:53 >> And so we we are going to go over kind
1:09:56 of stem to Stern if you've never
1:09:58 published anything before. No prior
1:10:00 publishing experience needed. And um you
1:10:03 know, hopefully we'll come out of that
1:10:05 session with uh an action plan that'll
1:10:07 allow you to self-publish your own book.
1:10:11 That's cool. That's very, very cool.
1:10:14 Beautiful.
1:10:15 >> And while I'm here, I am uh pressed to
1:10:18 tell you about the uh mastermind uh
1:10:21 program tomorrow.
1:10:24 >> Yes. Yes. What you said.
1:10:28 >> Yeah. So, if you're not in the
1:10:30 mastermind, you should join the
1:10:31 mastermind because it's awesome. And if
1:10:32 you are in the mastermind, we'll be
1:10:34 having our continuing uh session of the
1:10:37 practice lab tomorrow with um
1:10:41 Kyle and uh uh
1:10:45 >> I think you're Liz Miller Roshchel uh at
1:10:49 noon. Uh and that if you are jumping in
1:10:53 late because we've got a bunch of new
1:10:54 people after festivist, you can go back
1:10:56 and look at all of the p past sessions
1:10:59 on demand.
1:11:00 >> Yep. Yeah. And so the the practice lab
1:11:02 session is at noon Eastern and it's the
1:11:07 group of people that are starting their
1:11:08 own daily practices centered around AI,
1:11:10 how they use AI. Uh and and it's it's
1:11:13 it's a pretty remarkable
1:11:16 group of people that are willing to put
1:11:20 themselves out there and and just, you
1:11:23 know, be uh be vulnerable and and figure
1:11:26 out how to how to take their AI game to
1:11:28 the next level. It's really really
1:11:30 powerful. So if you haven't joined the
1:11:31 mastermind yet, do that. We have lots of
1:11:32 cool stuff coming this year and uh and
1:11:35 the this group's a really powerful
1:11:37 group. So beautiful. Thank you, sir.
1:11:40 >> Yeah, of course. And while I'm doing
1:11:41 shameless self-promotion tomorrow at 8
1:11:43 Eastern, Rick McCaulay and I are going
1:11:46 to be talking about ShiaPT health and
1:11:48 doing a deep dive on using AI in your
1:11:51 own personal health journey over on
1:11:53 Rick's YouTube channel and will be live
1:11:57 right before I go live. Right.
1:11:59 Beautiful. So, we're we're just starting
1:12:00 to bookend you. We've got a a content
1:12:02 calendar. We've got me me and Rick
1:12:04 before Corey's doing the after party.
1:12:07 >> Exactly. Exactly. I like it.
1:12:09 >> We're doing 24 hours of AI all the time.
1:12:13 >> We could do it. We can have Steo do one,
1:12:15 you know, out of Australia. Beautiful.
1:12:18 All right. Beautiful. Everybody, um,
1:12:24 thin mints. I'm a thin mint. The only
1:12:26 way I'm a thin mint here, here's my only
1:12:28 thing about thin mints. Thin mints, I
1:12:31 consider a serving size of thin mints
1:12:33 one sleeve, and I consider myself well
1:12:37 constrained if I don't eat both sleeves.
1:12:42 So, there you have it.
1:12:46 How they try to make a practice. Yeah,
1:12:49 exactly. Well, listen, man. A daily
1:12:51 practice is no it's it's it's no easy
1:12:54 feat. I'll tell you that. Um, it
1:12:57 requires some it requires some moxy. So,
1:13:02 it's a cool group. All right. Beautiful.
1:13:05 Um, Brother 52, I pitched a three-week
1:13:08 course on a me memoir writing with an AI
1:13:11 course to 200 of the 50 plus crowd.
1:13:13 Super cool. I hope you get it. That's
1:13:17 beautiful. Love it.
1:13:19 All right, KakeF's out of here. All
1:13:22 right, I'm out of here. You guys go hang
1:13:23 out with Corey, learn how she's doing
1:13:26 what she's doing. Then Saturday, go hang
1:13:28 out with Brandon. If you're in the
1:13:29 mastermind, come hang out tomorrow. If
1:13:31 you're not in the mastermind, go join
1:13:32 it. Just go to the AI salon in the first
1:13:35 four little sections there. The last one
1:13:37 you'll see is learn about the
1:13:38 mastermind. It'll take you right there.
1:13:41 Okay, beautiful. Peace out, everybody.
1:13:44 and I will see you tomorrow night
1:13:45 regular uh regular