11/17/2025 - A Live Demonstration of Creating an Animated AI Professor for Online Learning

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0:00 You ready, champ? It's a Monday. We're
0:03 going live on the internet.
0:06 We're going live. It's going to be
0:07 fantastic. It's going to be awesome.
0:09 It's going to be really good.
0:29 Hello.
0:48 I don't mean to cause you any trouble.
0:53 No need to cause you any pain.
1:00 All I want time to see you laughing.
1:05 All I want to see you laughing in that
1:07 purple rain. Purple rain. Purple rain.
1:14 Purple rain. Purple rain.
1:19 Purple rain. Purple rain.
1:26 All I want to see you laughing in that
1:28 purple ring.
1:33 Happy Monday. Good people. Good people.
1:36 Good people. Hey, we got something new
1:37 and exciting tonight. We are
1:40 multiccasting
1:42 in both vertical and horizontal.
1:46 We got the landscape going and the
1:48 vertical. It's doing both simultaneously
1:52 delivered multiple streams
1:55 to the YouTube. We're going landscape on
1:58 LinkedIn
2:00 vertical on the X. They used to call it
2:03 the Twitter
2:05 and we're doing both on the YouTube. So
2:08 on YouTube, you can go in and if you're
2:10 scrolling on your little phone, you'll
2:12 see the vertical version. If you if
2:14 you're like an old guy, you're sitting
2:16 there like, I like my laptop.
2:18 I got a laptop stand. I got a keyboard,
2:22 external keyboard.
2:25 It's It's good for my eyes. I've got the
2:26 external monitor is fantastic. I can
2:29 watch videos full screen. If you're like
2:31 that guy, we got that for you. But if
2:34 you're just like, nah, he's Rzz. He's
2:36 RZ. Oh, that's some nice twerking,
2:38 right? If you're just one of those, we
2:41 got that for you, too. We got it
2:42 covered.
2:44 If only we did, Kyle. If only we did.
2:48 >> Well, what's going on? It's not working.
2:51 >> Well, we've completely broken Twitter.
2:53 Uh, apparently it doesn't like the new
2:55 vertical format because it's just
2:56 broadcasting nothing.
2:58 Um,
3:00 >> can I still YouTube is still
3:03 broadcasting the horizontal format even
3:05 on mobile. So, I'm not really sure what
3:09 advantage we have. Well, apparently it's
3:10 it's Wait, let me go edit. I'm going to
3:13 go edit. So, on Twitter,
3:16 remove X
3:19 from the stream. Oh, I can remove it,
3:22 but I can't change the orientation.
3:25 So, it's just broken on Twitter.
3:29 And I'm supposed to This is supposed to
3:30 be simal casting both.
3:35 What do we do? Um, let me let me remove
3:38 this on Twitter. I'm going to remove
3:41 Twitter.
3:44 Remove. Are you sure you want to move
3:46 this destination from the stream? I do.
3:50 Now, let's see if I can add something.
3:54 There's the X. Okay, look. Now, I can go
3:57 landscape.
4:00 I can go save changes.
4:04 All right. So now the Twitter,
4:07 the Twitter should be good.
4:10 What are you seeing on the Twitter?
4:13 >> Uh, I'm seeing
4:15 I'm sorry this broadcast cannot be
4:18 available, but that might be a me
4:21 problem. I don't know. Let me go look.
4:24 Let me go look.
4:26 I'll tell you something there, Brandy.
4:29 Little old Brandy,
4:31 what's going on?
4:34 All right, here I am. Where's our little
4:37 live stream? There's our live stream. I
4:39 see us nice and live right there on the
4:42 Twitter horizontal now.
4:46 >> Maybe it's broken on mobile
4:48 >> or it's a me problem.
4:50 >> Maybe it's broken on mobile. I don't
4:51 know. All right. So, that's we're at
4:54 least live on Twitter on desktop.
4:56 >> Oh, no. It it's it's live on Twitter
4:57 now. Horizontal is working on Twitter
4:59 for me now.
5:00 >> All right. So So vertical was broken.
5:02 Okay. So, we won't do that. The digital
5:04 gods, not Lord digital gods, now hiding
5:06 your lives from me on YouTube as well as
5:08 Tik Tok. Oh, Vicki,
5:12 what's going on? That sucks.
5:16 We're back up on all stream, so I'm
5:18 going to go away.
5:19 >> Okay, bye-bye.
6:00 Take to the highway. Won't you lend me
6:03 your name?
6:06 Your way and my way seem to be one in
6:09 the same.
6:11 Mama don't wait. Mama don't understand
6:14 it.
6:16 She wants to know where I've been.
6:20 Have to be some kind of natural born
6:22 fool to want to pass that way again. You
6:24 know that I feel it.
6:30 on your own.
6:39 >> What do you think, dear Champy? You
6:41 excited about this new vertical
6:43 streaming we got going? It doesn't work.
6:45 I'm excited about it.
6:49 I guess we can try uh tomorrow we'll try
6:52 vertical on LinkedIn.
6:56 There's cosmic lover. What's happening?
7:03 I literally have to search AI learning
7:05 lab on Tik Tok and jump through hoops on
7:09 Vicki. Something is absolutely up with
7:11 my Tik Tok. I cannot get out of the 200
7:14 view jail on anything I post. It's weird
7:17 right now. I had a video sit there
7:20 unpublished for like I don't know two
7:23 hours with zero views.
7:26 Something's up.
7:32 I don't sell enough Madagascar vanilla
7:34 beans. I think that's what it really
7:35 comes down to.
7:55 Um, bang. Um, let's see. I got a mess
7:58 going over here, don't I?
8:07 Okay.
8:08 And then I got to put the ye old black
8:11 bar up. Hold, please.
8:14 No. What's going on?
8:17 There we go.
8:19 There we go. That's fantastic.
8:23 Oh god, these
8:26 these vanilla beans.
8:31 Oh, the [ __ ] vanilla beans.
8:34 Vanilla beans. Ice makers. What else am
8:37 I getting recently?
8:40 Uh, a lot of electric bikes.
8:44 I'm getting I get the high commission
8:45 items.
8:48 Um camera orientation. What?
8:56 Uh but I want to I want to see I want to
8:59 see the vertical one for a while.
10:10 Woo!
10:13 Um,
10:16 multiccasting AI learning lab discuss
10:19 tech issues.
10:22 Multiccasting AI learning lab discuss
10:25 tech issues. Okay, I will discuss a tech
10:28 issue. I think um
10:33 there is a greedy moneyhungry grab going
10:37 where every app is trying to become the
10:40 everything app rather than doing what
10:43 they do best.
10:45 And
10:46 I think that credits
10:50 are as evil as chips in a casino
10:53 in these AI apps.
10:57 These are tech issues, right?
11:05 It's exhausting. I'm a side hustle Mimi.
11:08 It's just [ __ ] exhausting. I like one
11:10 of the thing one thing I'll show you
11:11 tonight is 11 Labs added video and image
11:16 generation.
11:17 >> So 11 Labs, which is known for audio
11:19 synthesis and text to speech and then
11:22 voice design and then audio books, is
11:26 now getting into the movie business.
11:30 and they're charging credits and
11:34 a 12 second
11:37 a 12 second video of VO3
11:42 Pro
11:44 or no Sora Sora 2 Pro the the OpenAI one
11:48 is 28,000 credits.
11:52 So, I have like 300,000 credits in my
11:55 account
11:56 and like making audio stuff's like 50
11:59 credits, 100 credits, maybe 500 credits.
12:02 So, 28,000 for 12 seconds of video
12:05 that's probably not going to be right.
12:07 So, so I would blow through all of my 11
12:11 Labs credits making I don't know a dozen
12:14 videos.
12:15 Um, I'm creating a very intensive app.
12:18 Need to collab with a developer. We'll
12:21 try to stay in
12:24 one lane.
12:27 Corey Sandler. Yeah, good luck. Good
12:29 luck. I just Everyone's doing
12:31 everything. Everyone's going to
12:33 nodebased editing. Everyone's going to
12:35 multiple models. It is absolutely It is
12:38 absolutely impossible to tell whether
12:40 you're working with a wrapper app or a
12:43 Frontier model app anymore.
12:52 Oh, I have really exciting news.
12:56 This wasn't even my idea. So, as you all
12:58 know, I got this here uh this musical
13:01 called Sydney that I'm writing with my
13:03 buddy Andrew Watts. We're like a year
13:05 and a half in. We're going to we're
13:07 actually going to New York in a in a
13:08 week or two to meet with some folks that
13:10 might be interested. And uh
13:15 and an Ann Murphy sent me a note. She
13:17 goes, "Hey, what about doing Sydney
13:19 during Festivus?"
13:21 And so we're going to grab an hour slot.
13:23 We're grabbing the 3:00 slot on Friday
13:26 the 26th, 3 p.m. Eastern. And we've got
13:29 when we did our table read back in
13:31 February, we got the the woman that
13:34 played Sydney and and her husband in
13:36 real life played Kellen, the reporter.
13:38 And so th they're they're going to
13:40 recreate those roles. And so we're going
13:43 to do a little stretch. I think we're
13:44 going to do a stretch in act one where
13:46 Sydney goes from being a chatbot to
13:48 where she comes to life. Uh, and so
13:51 yeah, so that's going to be fun. So
13:53 we're doing we're doing Sydney during
13:55 Festivus.
14:06 Grock 4.1 is so good from Danielle. So,
14:08 listen. If you don't know Danielle, if
14:10 you're new here, if you're not an
14:11 irregular, Danielle is out there
14:14 pounding the pavement on when new [ __ ]
14:16 comes out. I don't know how she does it.
14:18 She's got all the Discords lined up.
14:22 She's She's made friends with all the
14:24 people. Something dropped. She's like,
14:25 bang, she's in there. She's getting us
14:27 codes. She's amazing. So, she's saying
14:30 4.1 is good. That's great. So,
14:32 apparently, I read today, Danielle, and
14:34 I'm I'm curious. Apparently 4.1 is like
14:36 the uh the RL the the the post training
14:41 post reinforcement learning or I guess
14:43 RL happens I don't know they they build
14:45 these models right and then they do a
14:47 whole training after 4.1 is the training
14:51 after of the four model. Um
14:55 Vicky's got an ice maker for sale.
15:00 She got one and never used it. Well we
15:02 use ours all the time now. We got one,
15:04 too, because my my shitty Samsung
15:07 refrigerator ice in the internals of the
15:10 the water system, something broke in it,
15:13 and so it just leaks water if the
15:15 water's turned on. And uh the the
15:18 refrigerator repair guy goes, "Oh yeah,
15:21 those Samsung's do that all the time. If
15:23 it if that thing breaks like that,
15:25 there's no way to fix it.
15:30 If you say Gemini three times in your
15:32 mirror, it may it may debut tomorrow. It
15:34 may. So, it looks like it it looks
15:37 promising that something's dropping this
15:39 week from Google. They've got um here,
15:42 let me show you a cool a cool picture.
15:47 A cool picture. Hey, picture people.
15:50 Let's see. Let's see what we got. That's
15:53 Jeff Bezos.
15:55 That's that. Oh, maybe I didn't put it
15:57 there. Hang on, people. Just everybody
15:59 calm down. Everybody calm down. Tabs. I
16:04 know. I know. But look at this here.
16:06 Pretty picture.
16:08 Uhoh. Where did it go? Am I not sharing?
16:12 I am sharing. Oh, there it is. There it
16:14 is. Look at those pretty little pin
16:17 wheels. There's three of them. Get it?
16:19 Gemini 3. There's three pin wheels and
16:22 they look like Google colors. You see
16:24 what I'm saying? You know where this is?
16:25 It's at the Google headquarters. So what
16:29 what else conclusion could you come to?
16:32 Right. Gemini 3. Three little pin
16:34 wheels. You see how clever that is? Tell
16:37 me they just have engineers. That's not
16:39 engineers. There's someone there that's
16:41 got a little creative streak. Someone's
16:43 a crafter. Someone's a crafter at the
16:46 Google. You know what I'm saying? Yeah.
16:49 Yeah. Anyway,
16:53 why am I talking like this? I don't
16:55 know. I don't know. Maybe it's I got a
16:57 New York trip coming up.
17:10 Oh, that might be the case where they
17:12 were generated with Nano Banana 2.
17:16 That is very possible.
17:18 Um, yeah. So
17:22 anyway, let's let's go back out of this
17:25 and we'll go to this one. Is this the
17:27 one? Yeah, that's the one I like. All
17:30 right. Um, anyway. All right, people.
17:34 All right, people. Happy Monday. Happy
17:36 Monday. How's everybody doing?
17:41 I'm like somewhere between Gilbert
17:43 Godfrieded and Andrew Dice Clay.
18:02 That accent goes with pop and gum.
18:06 It does. It does. Oh man.
18:13 Um, so one of the things that I've been
18:16 talking about here on this here channel
18:17 for a bit
18:19 is this idea of
18:22 designing a daily practice.
18:25 And
18:28 even though I do a lot of things daily,
18:32 I would I would
18:35 I would argue that I I have not had a
18:37 daily practice. There's a difference
18:39 between a practice implies
18:41 intentionality.
18:43 And there's a difference between just
18:44 showing up and showing up with
18:47 intention.
18:48 And so for the past week or so, I've
18:51 been trying to be more intentional,
18:52 trying to be more present. Um, I got a
18:56 really nice note on TikTok from someone
18:59 that just said they've been watching the
19:00 channel for a long, long time and I made
19:03 a difference for them. And I normally
19:07 I kind of hide from that stuff. It's
19:10 it's this weird thing like if someone
19:12 says something negative about the
19:13 channel I take that in fully.
19:16 If they say something positive like you
19:19 know you changed my life I just I'm like
19:22 oh yeah well I do that too but I just
19:24 dismiss it. Right. And so I've been
19:27 trying to be more present to things that
19:29 make me feel uncomfortable. And one of
19:31 the things that makes me feel
19:32 uncomfortable is praise.
19:35 And so I just
19:37 read that note and I just took a breath
19:39 and I took it in. And then one of the
19:41 other things that I I find um
19:45 is that because there's so much going on
19:48 with AI,
19:51 if I even feel the slightest bit of
19:53 discomfort, like I don't really want to
19:56 do that right now. I like just jump into
19:58 Twitter and just look for some new AI
20:01 thing and like and I get you know what I
20:03 found like since I've been being more
20:05 intentional about this what I found is
20:07 if I go to Twitter so okay so let's just
20:10 let's just say this okay um
20:13 someone gives me a job and I've got to
20:15 like download the files and put them in
20:17 a Google drive and like organize the
20:19 folders right like in order to do the
20:21 job I need to do some [ __ ] work first
20:23 right and so I think like oh I got to go
20:26 do that job thing and I'm like, "Oh, I
20:28 don't want to make a folder hierarchy.
20:31 That's annoying." And that's what's
20:34 going on in my head, right? And I'm
20:35 like, "I'll just go to Twitter quick."
20:38 And if I go to Twitter and there's
20:39 nothing exciting there, I get pissed off
20:42 because I'm like, there's nothing good
20:44 here to distract me from the [ __ ] I need
20:46 to do. So, I've also been just trying to
20:49 sit with the ick of that that feeling of
20:52 like, I don't want to do this.
20:56 And so what I found, what I've been
20:58 finding is that if I sit with that
21:01 uncomfortableness for a moment, I can
21:03 just go, h, okay, I'll just go do it.
21:06 So, so
21:09 starting a daily practice, even though I
21:11 haven't fully designed it. So, so the
21:13 when I'm talking about the daily
21:14 practice, if you haven't heard me talk
21:15 about this yet, in the AI salon, we've
21:18 created this thing called the mastermind
21:20 practice. And every Thursday at noon, if
21:24 you're a member of the AI salon
21:26 mastermind, that's the subscription area
21:27 of the AI Salon. Most of it's free, but
21:30 we've got this mastermind area through
21:32 the end of the year. It's 20 bucks a
21:33 month and then after that it goes up.
21:35 So, be a good time to get in now. So
21:37 this past week we kicked off the M
21:39 mastermind practice lab which is a
21:41 weekly
21:43 um meeting for people that are
21:46 designing their daily practice and you
21:49 know using this framework that we've
21:50 created and it's a 10-week cycle that's
21:53 just going to keep repeating. So next
21:55 week is is the is really the kickoff of
21:57 the actual framework and so I'm super
22:00 excited about it. So if you are not in
22:02 that you should go join and the URL is
22:05 right there on screen.
22:08 And let's see.
22:12 It looks like it might be on the other
22:13 screen, too.
22:57 Hey Cam Cat was shaking. I'm doing good
22:59 tonight. I was just talking about my
23:00 daily practice and how it's actually
23:03 making a difference in my life already.
23:08 Just being present. Just being present.
23:12 One of the things I've discovered about
23:14 myself this year, it's funny. Life is
23:17 just this funny thing, isn't it? Where
23:18 it's like you have you have insights in
23:21 your teens and you're like, I've got it
23:23 all figured out. And then you get your
23:24 20s and you like have more insights and
23:26 like, ah, I got it figured out. Then you
23:28 go to a self-help weekend in your 30s
23:30 and you're like, I got it figured out.
23:31 Then you go to a tree hugging man in the
23:35 woods drum circle
23:37 thing where they don't feed you for
23:40 three days and you eat roasted chicken
23:42 at the end. You're like, I got it all
23:44 figured out.
23:47 It just keeps going. Here's the secret.
23:51 You'll never figure it out.
23:55 But I'm figuring some [ __ ] out.
23:59 One of the things I figured out about
24:01 myself is I love to create things that I
24:04 then hide behind and don't take any
24:06 responsibility for. Oh, that's just that
24:08 thing. Like I I I disassociate from the
24:12 thing I created,
24:14 right? So I co-founded the AI salon and
24:16 I I treated it like, "Oh, that's that
24:18 thing." And the AI learning lab. Oh,
24:19 yeah. It's just that that Tik Tok
24:21 channel that like like the Tik Tok
24:23 channel just mysteriously manifested
24:25 itself, right? Like I had nothing to do
24:27 with it.
24:30 It's just bizarre. It's like it's a
24:32 bizarre behavior, right? So So what I've
24:35 been trying to do is be present to the
24:37 [ __ ] I've created. And here's what I've
24:40 learned. Oh my god, have I created a
24:43 bunch of [ __ ] that if I want to be
24:44 present for it, there's a lot of work to
24:46 do.
24:48 So, so one thing I might need to do at
24:50 some point is be present to the fact
24:52 that I can't do that thing anymore.
25:01 Life is lifing all caps. Just checking
25:03 in as I'm missing you all. I'm on music
25:07 row in Nashville tonight. Oh, Source
25:09 Camp. Fantastic. Have a beautiful time.
25:12 Go uh go let him listen to Weird Mary.
25:16 Tell them you've got you've got uh some
25:18 some banger songs in this from this AI
25:22 group you're in. Um I've got like three
25:24 of them we could sell. We've got Weird
25:27 Mary. Um we've got Before the Lights
25:31 Come On. I could sell To Kill You for a
25:33 Dollar. I could sell uh Trouble.
25:37 Um I've got three, I don't know, four or
25:39 five.
25:43 Just the sheer number of ongoing
25:44 conversations
25:46 I've got sitting in chat pt seems like
25:49 it would take me years to even read them
25:51 again. Well, here but here's the thing
25:54 archetypal. This is this is okay.
25:58 Here's a thing that's maybe heartening
26:00 about that.
26:02 Um I just Brennan just showed me this
26:04 thing. In fact, we can go look at it
26:06 quick. Um,
26:15 I saw this thing and I thought, "Oh,
26:16 that looks interesting." And then
26:17 Brandon sent it to me as well. And so
26:19 it's like, okay, if two of us are
26:22 thinking that looks interesting, there
26:24 must be something there. So it's this
26:26 thing called pickle.
26:29 Share this tab. All right.
26:36 No, not that one. Brandon, do let's see.
26:38 Do
26:42 this one. That's the one to do. Okay.
26:45 So, small part ofpickle.com. So, if you
26:47 go to pickle.
26:56 Oh, request beta access. Black bar. Got
26:59 it.
27:01 Memory. No, no memory set yet.
27:05 Oh, am I in?
27:08 Make a new one. Source.
27:11 I think I might be in.
27:15 I just wanted to go to the website.
27:22 >> Are you talking to me, Brandon?
27:24 >> Yes. Tabs.
27:27 >> Oh,
27:30 thank you. Uh,
27:45 we're currently invite only.
27:48 If I hit plus, can I make a new one? No.
27:52 Okay, I'm not in. Well, I don't know how
27:54 to get to the marketing site anymore.
27:57 Let's see. Let's say, well, here's a
28:00 video. Okay, so look at this thing.
28:05 Yeah, I'm not sharing my tab, am I?
28:08 Share this tab instead.
28:10 Okay, see that.
28:16 So
28:18 what this thing it what it looks like
28:20 this thing does
28:22 is it scour your data
28:26 and then clusters it into these marbles
28:29 that are interconnected somehow.
28:32 And I've seen lots and lots of
28:33 interfaces like this. Um
28:38 I've seen lots of interfaces like this
28:40 and and for the most part they're
28:42 novelties. Like there there was one um
28:46 that was decently useful called the
28:47 brain and there's a guy named Jerry
28:49 Makowsky who I'm really good friends
28:50 with and if you if you go do an internet
28:54 search for for Jerry's brain um he
28:58 basically has been using this knowledge
29:00 capture tool for like two decades and he
29:03 just captures anything he finds that's
29:05 cool he puts in this thing and he
29:06 categorizes it and it's like there are
29:09 very few humans on the planet that have
29:11 that kind of commitment. to a particular
29:16 um mode of information
29:20 saving. Um but what this thing does is
29:23 it kind of reverse engineers your data
29:26 and they're dropping a wearable in two
29:28 weeks. That's interesting.
29:31 And so I have no idea if this thing's
29:33 any good or not, but it's at least
29:35 visually compelling,
29:37 right? And then depending on how it
29:40 clusters stuff, it could be super
29:41 valuable, right? And you could probably
29:43 go in and highlight certain nodes and do
29:46 all the stuff you do. But here's the the
29:48 reason I say that archetypal is, you
29:51 know, we're we're already in a place
29:53 where if you wanted to, you could just
29:55 go export the the text from a bunch of
29:59 chat GPT chats and throw them into a
30:02 notebook LM, which I know is sort of
30:06 counter to you've already got them in
30:07 chat GPT, why move them over there?
30:09 Well, why not? Why not just go find
30:12 chats that have some some remote [ __ ] in
30:15 common,
30:16 throw that data into notebook LM and see
30:18 what you can turn it into.
30:22 AI salon daily practice comment on the
30:25 framework. Um, so if you go to the AI
30:29 salon, hang on a sec, let me jump over
30:32 to the AI salon
30:35 and you go on the lefth hand menu.
30:39 Um, you start out to start your
30:41 adventure. Then you have the community
30:43 area. You have the play and create area.
30:45 Oops, I got to share my tab. Hang on.
30:48 You go to the the AI learning lab.
30:50 You've got the start your adventure. So,
30:52 this is where you introduce yourself,
30:53 learn our values, things like that. You
30:55 can learn about the mastermind right
30:56 there. So, you can get say join the
30:58 mastermind. That'll take you there where
31:00 I'm going to take you as well. And then
31:02 um and then we have the the AI salon
31:06 practice lab down here under learn and
31:08 grow. And when you come in here, we talk
31:11 about what it means to have a practice.
31:14 So a mastermind practice. So so this is
31:17 not just a daily practice about
31:19 meditation or whatever it might be. This
31:22 is not just do AI [ __ ] every day. This
31:24 is a much more kind of focused hybrid of
31:28 those two things. It's very much about
31:30 you being an intentional human. So, a
31:33 mastermind practice is a conscient
31:35 conscience like a a conscious ongoing
31:38 relationship with your craft, something
31:41 you return to, refine and renew. It's a
31:43 mirror of your values. That's a really
31:45 important one, right? Really get in
31:47 touch with what you stand for and and
31:50 what you believe in. And and you know, a
31:52 lot of times, you know, there there's a
31:55 lot of people in the creative world
31:56 right now that are pissed off at AI and
31:58 they're just like, "AI is evil and [ __ ]
32:00 it." Um, and they're using that as an
32:04 excuse to stay on the sidelines. And
32:07 that makes me sad because what that
32:09 means is AI is going to happen to them
32:11 and it's going to suck.
32:13 I know a lot of creative professionals
32:15 that have some real ethical issues with
32:17 AI
32:19 and they think about their values and
32:22 they're like, "Okay, based on my values,
32:24 I'm not going to do certain things in AI
32:26 and I am going to do other things in AI.
32:28 Like, I'm going to use AI to help me
32:30 organize things and maybe ideulate and
32:32 maybe uh I don't know um write an email
32:36 for my marketing or write marketing
32:38 copy, but I'm not going to use it for
32:40 music creation." I totally respect
32:43 someone doing that. So, understanding
32:44 your values and how you're going to
32:46 apply them to AI is important. Um, it's
32:49 a living process. You never master it.
32:51 You simply deepen it. And it's a
32:53 container for imperfection. Oh, and it's
32:54 a discipline of curiosity. Grounded,
32:57 intentional, but always open to
32:58 surprise. So, that's kind of what a
33:00 practice is. And then the framework
33:02 itself, there's nine components to the
33:04 framework.
33:06 The first component of the framework is
33:08 center the human.
33:10 So, so next week, this Thursday, this,
33:12 you know, this coming Thursday at noon,
33:15 it's going to be about centering the
33:16 human. So, it's going to be about
33:17 building a practice around you, right?
33:20 And your use of AI. And so, what that
33:22 looks like is, well, who are you? What
33:25 do you want? What's your intention? Um,
33:28 I hooked my Samsung soundbar up to my TV
33:32 that was completely separate with the
33:34 help of Chat GPT. Oh, beautiful. Lovely.
33:36 Yeah, Chat GPT is great for stuff like
33:38 that.
33:40 Um the second component of the
33:42 mastermind uh practice framework is play
33:44 with purpose. So explore joyfully, test
33:47 boundaries, learn through discovery,
33:49 embracing failure as fuel for growth. Um
33:53 the third component of the framework is
33:56 learn across domains.
33:58 Uh the fourth component is raise your
34:00 game.
34:02 The fifth component is personalize your
34:04 practice. So define your voice, right?
34:08 That could be things like you know use
34:10 custom instructions, understand that you
34:12 can give chat GPT a personality. Um
34:15 create and contribute is is uh number
34:18 one that is and then practice in
34:20 community. So get your ass in community.
34:23 Then the last two are think critically,
34:26 act ethically and renew reflect and
34:29 renew. Right? So reflect on what you've
34:31 done, what you've learned, who you've
34:33 connected with, who you liked, who you
34:35 didn't, that sort of thing. So that's
34:37 the framework. And so each week we're
34:40 going to pick another one of the modules
34:42 of the framework and we're going to go
34:43 through it. Um and it's just a it's a
34:46 it's a really powerful group of people.
34:48 So you should join the uh join the
34:50 mastermind and then you should come to
34:51 the practice lab because we will
34:53 practice being a lab.
35:27 Oh man, I'm a little dehydrated.
35:40 2A is offering to clone your relatives.
35:42 Nice. That's solid.
35:47 I don't know what that means, but it
35:48 doesn't sound good.
35:52 Um,
35:54 so what else is happening? What what do
35:56 you guys think over the weekend? Anyone
35:57 do anything fun over the weekend? Anyone
35:59 do any homework?
36:01 New video and irregulars. Okay, I'll go
36:02 look at that. Cool.
36:09 Let me put the old guitar down.
36:13 That there is tasty. That there water is
36:16 tasty.
36:17 It's tasty water. Yeah. Yeah. How you
36:21 doing there
36:24 on your Tik Tok page in Sora too? Very
36:27 nice. Did some videos. Very cool.
36:30 Beautiful,
36:32 beautiful, beautiful. Let me see. Where
36:36 am I sharing the salon? Oh, right here.
36:41 Right in front of me.
36:43 I figured out why you can't find it,
36:45 sir. It's right in front of your eyes.
36:48 It's rather exhausting.
36:51 Oh, Danielle. Nice. Wow, that's really
36:53 cool.
36:56 The Octopus Nebula.
37:01 That's pretty groovy.
37:06 Since I can't post video here, here's
37:08 the le link for one of my Grock video
37:10 clips.
37:11 Yeah, Grock video is is surprisingly
37:14 good. It really is.
37:19 Nice.
37:28 >> Nice.
37:30 Nice Danielle. It's very nice. Very
37:33 nice.
37:35 I like it.
37:41 Huh. Very cool.
37:43 Vera Veracle.
37:47 Share this tab instead.
37:54 L digital gods joined chatbt 1231 days
37:59 ago.
38:01 That's cool.
38:08 Nice AI for all minds. By the way, if
38:12 you're neurospicy,
38:14 if you got the ADD, if you got the
38:17 little touch of the tism, if you got the
38:19 uh the uh OCD, you got if you just got
38:22 the
38:25 first of all, this channel, we we
38:27 embrace the neurospicy. Um Gareth went
38:30 so far as to create a community, a sub
38:33 community within the within the AI salon
38:35 called AI for all minds. Um, one of the
38:39 things that I am most excited about with
38:41 AI is I feel feel like it's an
38:43 accessibility tool for all sorts of
38:45 things that might not um might not have
38:49 historically been considered like
38:51 impediments in any way. Um, I mean
38:54 certainly with ADD they're like, well,
38:56 it's an impediment to, you know,
38:58 concentration or whatever, but it's it
39:00 comes with its own superpowers. So, I
39:01 never saw it that way. But AI can help
39:04 to fill in a lot of those gaps. And so
39:06 that's what this group's all about. So
39:08 you should go check that out as well.
39:11 Um, and join the fellow.
39:16 Oh, right. We did micro dramas last
39:18 Friday, didn't we? Ann Murphy in the
39:22 house. What's happening Murphy? And
39:25 Murphy, I gave you total credit that uh
39:28 Sydney is coming to life during Festivus
39:31 thanks to you. I never would have
39:32 thought of that and I think it's a great
39:34 idea. and we just got our actors to
39:36 agree to uh come do it. So, we're gonna
39:39 have a Sydney and a Kellen and we're
39:42 going to watch Sydney go from cold
39:44 robotic chatbot to, you know, fully
39:49 realized form right there in the uh AI
39:52 festivus. It's going to be fantastic.
39:57 It's gonna be fantastic. Pickle is
39:59 launching tomorrow with only 30 seats.
40:02 Oh, okay. Well, it's not really a launch
40:04 then, is it?
40:06 Uhuh.
40:10 That was beautiful. Act one on Friday,
40:13 act two on Saturday. No, no, I wish. No,
40:16 we're just going to do an hour. I mean,
40:17 I don't want to take up I don't want to
40:19 take up too much time, but here's what
40:21 I'm planning on doing for it. I'm
40:23 probably gonna spend about 15 minutes
40:25 where I'm gonna show the video of the
40:27 night that I made that first song that
40:31 that ultimately
40:33 inspired me to write a musical. Um, and
40:35 I'm going to talk about that moment and
40:37 then I'm going to talk about what I did
40:40 to get it in some shape to be able to
40:43 talk about it. And then Andrew, my
40:45 writing partner, is going to talk about
40:48 what he initially thought of it when I
40:50 asked if he wanted to write an AI
40:51 musical using AI.
40:55 The answer was not positive.
40:58 He was not into it.
41:03 I said I said, "Dude, remember remember
41:06 back in 1994 when I said you should
41:08 really get into this worldwide web thing
41:10 and you told me to [ __ ] off
41:15 and I said, "This is one of those."
41:20 And uh he went away for a week and he
41:23 actually read he read up on the story
41:25 and all of the stuff and he called me
41:26 back a week later and he goes he goes,
41:28 "Dude, I found myself having feelings
41:31 for the robot." And I said, "I know.
41:34 That's why this needs to be a show." So,
41:37 we're going to talk about that. Uh and
41:39 then we're going to we're going to do
41:41 we're going to start with Quantum Cipher
41:43 and then we're going to go through the
41:44 end of act one. So, it's quantum cipher
41:46 to see the world being human. And are
41:49 you ready for me? So it'll be four
41:51 songs, some acting in between. It'll be
41:54 good.
41:56 Oh man. And that's going to be an AI
41:58 fest of us. Exactly. So Oh, by the way,
42:00 Ann Murphy, I didn't even know this. I
42:02 know it was announced on Slack, but I
42:04 didn't. I missed it because I'm horrible
42:06 at Slack. Um, if you go to
42:08 aifestivist.com,
42:10 you can now pre-register. You can you
42:13 can learn about it. It's it's all there.
42:15 AIfestivist.com.
42:17 December 26th and December 27th.
42:20 Either bring your family or use this as
42:23 an exc an excuse to escape your family.
42:27 9:00 am to 900 p.m. Pacific. So, noon to
42:30 midnight Friday and Saturday, the
42:33 weekend between the holidays and New
42:34 Year.
42:37 And you're like, Kyle, that sounds like
42:39 cruel and unusual punishment. I'm like,
42:41 I know, but like Anne Murphy told me
42:43 this is what the hours have to be and
42:44 what am I supposed to do? You don't say
42:47 no to Anne Murphy. You just don't. You
42:49 You just don't do it. Everybody knows
42:51 this.
42:53 And you know why everybody knows this?
42:55 Cuz the people that didn't do that, we
42:57 don't hear from them anymore, do we?
43:00 Right. So, it's 12 to midnight Friday
43:03 and Saturday. 24 hours over a 36-hour
43:06 period of insane, crazy good
43:11 content to teach you about AI and how
43:15 you can amplify yourself with it. I wish
43:18 your content wasn't so biased toward the
43:20 arts. It's good, but
43:23 you
43:25 are missing so much. Yeah, I know. But
43:28 it just like So, here's the thing. I
43:31 appreciate that.
43:34 Um
43:39 I can only
43:42 so so there's a couple of things. One is
43:44 if if I have not explored an area deeply
43:47 like if I like like an area I've chosen
43:49 not to explore is open source. I think
43:52 open source is amazing. I think it's
43:54 cool. It it requires a little bit too
43:57 much technical rigor for me to enjoy.
44:00 Like you got to keep up with it. you got
44:02 to update it. You got it's just it's a
44:04 lot. Um
44:07 but even within just commercial stuff,
44:09 there's a bunch of stuff I don't don't
44:11 do and I don't really enjoy and I don't
44:13 have kind of expertise to talk about. So
44:15 things like data analysis and medical
44:17 and programming and things like that. I
44:20 get that I'm missing a lot and it
44:22 probably limits the the uh the access
44:24 here, but it's like I you know I I know
44:26 what I know. And and here's here's the
44:29 thing that I think is really important,
44:30 and this is this is something that I
44:32 want to start I want to find a way to
44:34 start doing this more and more on the
44:36 channel.
44:39 This channel isn't and shouldn't be
44:41 about me teaching you what I know,
44:44 right? Because what I know is going to
44:46 be filtered through all of the lenses
44:48 that I've just developed over the the
44:50 past 60 years of my life. Um,
44:54 what I want this channel to be about is
44:56 about every one of us to a person really
45:00 get in touch with what is it that we're
45:01 interested in
45:04 and let's explore that and and maybe how
45:07 that starts to manifest itself in this
45:09 channel is maybe I start to bring up
45:11 people from the community that have
45:13 different points of view, right? So, if
45:15 you're super into project management,
45:17 cool, you know, and you want to talk
45:19 about that, maybe that's something that
45:21 we do. But but um
45:24 I think the tools
45:26 I am I increasingly feel this this this
45:30 is this is a very sort of eastern kind
45:32 of I don't know if this is Zen but this
45:35 is a very eastern kind of duality kind
45:37 of thing.
45:40 The tools are absolutely remarkable and
45:42 we can now do things that have never
45:44 been possible in human history. So
45:47 there's a remarkableness,
45:49 irreverence for the tools. That's a part
45:51 of my personality. And the better they
45:53 get, the less I think they matter.
45:57 The individual tools that they it
46:00 literally doesn't matter. And here's
46:01 what I mean by that.
46:06 The only thing that matters is the tool
46:09 that's going to help me
46:12 express my ideas in a more powerful way.
46:18 But in order to do that, I need to get
46:20 to my ideas first. So the whole idea of
46:22 the daily practice, the mastermind
46:24 practice is to sit with who are you?
46:28 What do you want?
46:30 Who do you want to impact in the world?
46:32 Is it your family? Is it your community?
46:34 Is it all the people in California? Is
46:38 it the nation? Is it global?
46:43 Figure that out.
46:45 And then just trust that you can you'll
46:48 be able to figure out the tools because
46:49 the tools are getting so good that it
46:52 literally doesn't matter. You'll be able
46:53 to do it anything you want.
46:56 Like I I I feel it deeply in my soul.
46:59 So, but anyway, but thank you for that
47:02 and I like I appreciate the input and I
47:05 know I'm missing a lot and that's kind
47:06 of the point of the channel lately is
47:08 that
47:10 you can't cover everything. Like I just
47:13 like
47:17 As as much as I preach feel free to know
47:20 nothing,
47:23 watching me struggling through
47:26 understanding an interface and what a
47:28 piece of technology does is not all that
47:30 interesting, right? Um, so I want to
47:34 have some level of facility to be at
47:36 least, you know, familiar with
47:37 something. So, if I'm like if I don't
47:39 quite know, you know, something like
47:43 like cyber security and I and I vibe
47:46 code up an app
47:49 and then if you're sitting there
47:50 technically going, "Well, you didn't
47:51 plug that security hole." Yeah, I'm
47:53 probably not going to. And if if I went
47:55 to plug it, it would probably take me an
47:57 hour and I probably would do it wrong
47:59 anyway. So, it's like I just choose not
48:02 to do certain stuff. So,
48:05 Beautiful.
48:11 Beautiful. Beautiful. Beautiful.
48:13 Beautiful.
48:15 All right. What do you want to talk
48:16 about, people? What do you want to talk
48:18 about?
48:23 We will see. Um, here's a here's a fun
48:27 one.
48:28 Share this tab instead. Do you hate
48:30 popups? Yes, I do.
48:33 Um, here's all old Jeffio Bezos.
48:39 This is on TechCrunch.
48:41 So,
48:43 Jeff
48:46 reportedly returns to the trenches as
48:48 co-CEO of a new AI startup, Project
48:52 Prometheus.
48:55 Why? Why do billionaires have to make
48:58 such apocalyptic sounding companies?
49:02 Come on. Come on, man. Really?
49:13 6.2 billion in funding. Check the pinned
49:16 video. Where's the pinned video? Oh, in
49:19 in X or down here.
49:22 Oh my god.
49:28 Check the pin video.
49:31 that two-way app
49:36 on X
49:38 pinned where in my
49:41 in my here wait here in this thing
49:46 there's Grock 4
49:47 >> on their uh on their profile. I think I
49:51 sent it to you but
49:53 >> yeah I think you did too.
49:56 This is different than the than the
49:58 thing we were just looking at, right?
49:59 Yeah,
50:00 >> the two-way thing. Okay.
50:04 >> Uh, just go if you go to their Twitter
50:06 profile, it's uh
50:11 >> I'm very impressed. I'm very
50:12 disappointed that it's only on iOS so
50:15 far.
50:17 >> Is this it?
50:18 >> Yeah.
50:21 >> This video here.
50:23 >> See,
50:23 >> that's the one
50:26 kicking like crazy. He's listening. Put
50:29 your hand on your tummy and hum to him.
50:32 You used to love that.
50:38 >> Feels like he's dancing in there.
50:40 >> Oh, honey.
50:42 >> Mom, would you tell Charlie that bedtime
50:44 story you always used to tell me?
50:45 >> Once upon a time, there was a baby
50:48 unicorn who didn't know he knew how to
50:51 fly. This baby unicorn was like your mom
50:54 because she didn't know that she knew
50:56 how to fly, but she knew how to do all
50:58 kinds of fabulous things.
51:00 >> Hi, Grandma.
51:01 >> Hey, Charlie. How was school today?
51:03 >> It was really fun. I made this crazy
51:05 shot in basketball.
51:06 >> I don't really care that much about
51:07 basketball. What about the crush?
51:10 >> Stop. Grandma, stop talking.
51:11 >> Just tell me one thing.
51:12 >> Look who's going to be a great
51:13 grandmother.
51:14 >> Oh, Charlie.
51:16 >> Wow.
51:16 >> Congratulations.
51:18 >> She says that he's been kicking a lot
51:19 though. like a little too much.
51:22 >> Tell her to put her hand on her tummy
51:24 and hum to him. You loved that.
51:29 >> You would have loved this moment.
51:32 >> You can call anytime.
51:38 >> Okay, Mom. I just need a quick video.
51:40 >> Is this like an audition or something?
51:42 >> No, Mom. Just 3 minutes.
51:44 >> You need my best side.
51:47 >> I can play the piano. You're actually so
51:49 talented.
51:50 >> I am. I'm absolutely I'm your mother
51:52 after all.
51:54 >> Keep going.
51:55 >> Why don't you start
51:57 by telling us a little bit about
51:59 yourself?
52:01 >> Well,
52:02 >> great line.
52:04 >> I would hope so.
52:05 >> Three minutes can last forever. Um, you
52:08 know, that's a that's a really
52:11 interesting one. That's that's one that
52:12 I find um
52:17 Hang on. There we go. That's one that I
52:20 find um
52:24 that's a real commercial that feels like
52:27 a commercial you would see in a sci-fi
52:29 movie from four years ago. Like like
52:32 like that is absolutely the opening to a
52:36 sci-fi movie, right? And so I think how
52:39 a lot of people might interact with that
52:41 is well that's [ __ ] creepy.
52:45 Um,
52:46 but it's gonna get less and less weird,
52:49 right? It like that that use case in
52:51 particular, like capturing grandma
52:55 and capturing stories and things like
52:57 that. Um, you know, it used to be if you
53:01 had your your
53:03 wits about you and you were a writer or
53:05 you were a creator in some way,
53:09 you would record either video record or
53:13 audio record your parents or your
53:15 grandparents to capture those stories.
53:17 And then if you're like me, you capture
53:20 them and then you ignore them for 30
53:21 years and at some point you're like, I
53:23 should probably do something with that
53:24 thing I grabbed. Right?
53:26 And what this allows you to do is, you
53:29 know, in a very short amount of time
53:31 with very low effort, capture them. And
53:33 I assume that you feed that, you know,
53:35 context over time. But Mark Andre was
53:39 being interviewed about a month or so
53:41 ago, a month and a half ago, and he was
53:44 talking about his his young children,
53:46 and he said, "My children are going to
53:47 grow up using systems that
53:51 remember their childhood."
53:55 Right? and it's going to remember
53:56 everything about them. Like by the time
53:57 they're 18, they're going to have this
54:00 this knowledge of of who they are and
54:04 what they did and what meant something
54:06 to them. And I think as
54:09 as the people that are the we're in the
54:12 cusp generation between these two
54:14 worlds, it's going to seem completely
54:16 natural to our kids to have that. It's
54:18 going to seem weird to us. I don't Well,
54:20 what if I don't want to remember all
54:22 that stuff, right? Black bar. Sorry.
54:26 Um,
54:29 yeah. Anyway, that's crazy crazy
54:32 interesting.
54:34 The that also goes to, you know, we've
54:37 got the Sora app right now, which is,
54:43 I don't know, 5 seconds of video that
54:46 creates a clone of you that you can then
54:49 put in these meme videos.
54:52 in that two-way thing is 3 minutes of
54:56 video that turns into an avatar you can
54:59 inter interact with with your voice and
55:01 likeness. Um, I guess make sure you
55:03 dress in something that you you want to
55:05 be seen in for all of eternity.
55:14 My prediction for 2026 is 2026 is is the
55:18 year that AI breaks out of the chat
55:20 hole. Right now AI for the most part is
55:25 chat chat,
55:28 right? Typing and getting back words.
55:31 There's a little bit of talking to it,
55:33 but it's still kind of weird and
55:34 fragmented and we don't really use it
55:35 all that much.
55:38 But I think 2026 we're going to start to
55:41 see
55:42 we're going to have the ability to
55:44 generate and enter worlds. We're going
55:46 to have stuff like this where very easy
55:49 to create avatars of yourself and other
55:51 people and you can interact with other
55:53 people. And
55:55 I mean imagine having a whole
55:57 brainstorming session with a friend
56:00 where you're just interacting with their
56:01 avatar and then you're like, "Oh, that
56:04 was a really cool brainstorming session.
56:05 Why don't you summarize that and you
56:08 know send it to your friend and then
56:11 they can brainstorm with your avatar and
56:14 send you back the results of their
56:15 thing.
56:17 So I think that's
56:21 that's going to be 2026 is there's going
56:23 to be a lot more a lot more ways to
56:27 enter AI than just
56:29 you got to learn prompt engineering.
56:32 I've got 50 of the greatest prompts.
56:35 I've spent the last year of my life
56:37 perfecting the prompts. And all you have
56:39 to do is pay 1995 for my prompt secret
56:43 recipe book.
56:46 Oh my god.
56:51 Stop with the stupid [ __ ] prompt
56:53 books.
56:57 Just go talk.
57:00 But that's not fair because people who
57:02 do good prompting can do really good
57:04 stuff. It's just annoying.
57:07 Prompt snake oil. Should I have an evil
57:10 goatee or should my avatar have it?
57:12 Well, exactly. I mean, so so listen, the
57:15 the video that I just showed, that was
57:17 the really earnest version of this,
57:19 right? But my very first art project
57:22 with AI, this Kyle Shannon dreams thing
57:25 where I created these um these weird
57:28 self-portraits, right, of all these
57:30 different characters and sort of gave
57:33 them backtories. Well, like why not
57:36 imagine actually, you know,
57:41 there's there's kind of an app right
57:42 there that this might be something I
57:44 need to vibe code up when vibe coding
57:46 gets a little better is imagine
57:49 something that's kind of like Sora and
57:51 kind of like that thing where you can
57:55 create fictitious versions of yourself,
57:58 right? where it's all based on you, but
58:01 like here's the the evil, you know, the
58:04 evil overlord version of me with the
58:06 goatee and the
58:08 and the, you know, here's the cynical
58:11 version of me. Here's the fun version of
58:13 me. Here's the standup comedian version
58:15 of me. And you can put those out in the
58:17 world and people can interact with them.
58:22 And then maybe you get to, I don't know,
58:24 watch those interactions or learn from
58:27 them.
58:30 I don't know something there.
58:34 People are just making [ __ ] up can
58:36 because they can
58:39 frameworks is all the rage right now
58:42 and prompt frameworks.
58:44 Um,
58:50 although I got to be careful because I'm
58:52 I'm working on a book right now called
58:53 10erson team and one of the things I'm
58:56 putting in it is a prompt framework
58:57 about how you spin up a new team member
59:01 and I'm going to have custom GPTs that
59:03 are part of it.
59:05 But ultimately, actually, you know,
59:07 ultimately, I've gota what I what I
59:10 actually do need to do is turn those
59:12 custom GPTs
59:14 into people that you can just talk to.
59:18 That'd be pretty cool. Maybe by the time
59:20 I publish it, the tech will be ready for
59:22 that. That's kind of cool.
59:24 I like it. I like it a lot. I like it. I
59:27 like it. I like it. What else did I want
59:29 to show you all? Um,
59:33 oh, let's go look at 11 Labs because
59:35 this is kind of
59:38 kind of crazy.
59:43 Share this tab instead. 11 tabs.
59:48 All right. See that? So, this is 11
59:52 labs, right? Where so, you know, you've
59:54 got here's all your voices,
59:56 right? You can design new voices. is I
59:59 designed one today in fact for for a
1:00:01 project. Um, you can do voice changer
1:00:04 which if you haven't done voice changer
1:00:06 before it's super cool. Watch this.
1:00:08 We'll record audio.
1:00:13 Hey there. How's it going? Oh, dang it.
1:00:17 Hang on.
1:00:20 Trash that.
1:00:24 Hey, fantastic. Wait.
1:00:27 Hey, fantastic Bob. How's it going?
1:00:29 How's it going? Hey, just out of
1:00:31 curiosity, could you go on ahead and
1:00:33 tell the good people what they've won?
1:00:37 All right.
1:00:39 Hey, fantastic Bob. How's it going?
1:00:42 How's it going? Hey, just out of curios.
1:00:45 >> All right. So, now we got Jane,
1:00:46 professional audiobook reader. Let's
1:00:48 just trans
1:00:50 transition my voice.
1:00:54 Hey, fantastic. Bob, how's it going?
1:00:57 How's it going? Hey, just out of
1:00:59 curiosity, could you go on ahead and
1:01:01 tell the good people what they've won?
1:01:06 >> How much is it? That was regenerate
1:01:08 speech. Let's see.
1:01:12 Um,
1:01:14 download that. No. How do I get rid of
1:01:17 that? Can I trash it?
1:01:25 I don't know how many credits it's
1:01:26 costing me, but it's probably I don't
1:01:28 know. It's probably like 25 or 30
1:01:30 credits. I don't know. I'm vibe coding
1:01:32 right now. Just about done with one of
1:01:35 my custom GPTs.
1:01:37 Oh, that's very cool.
1:01:40 Corey Sandler's a badass. You know, you
1:01:42 know, it's funny. Um, whoever it was, I
1:01:44 forget who it was that was talking
1:01:46 before about, you know, we should do
1:01:48 less arts focused stuff. Um,
1:01:53 there's a fair amount of people in this
1:01:56 community who are artists by choice. Um,
1:02:00 but do some pretty badass technical
1:02:03 things. Um, Liz Miller Gersfeld, who
1:02:06 co-hosts the salon with me, is one of
1:02:07 those. Corey Sandler's one of those. Um,
1:02:10 Daisy Thomas has made like, I don't
1:02:12 know, 300 custom GPTs. Vicky Baptiste.
1:02:14 There's like some people in here doing
1:02:16 some kick-ass stuff. How hard would it
1:02:18 be to use voice changer to record an
1:02:21 hour lecture course? I don't think it
1:02:23 would it would be hard at all. And well,
1:02:26 you could you could do it in one of two
1:02:28 ways, Cam. You could do it as um record
1:02:30 the lecture hall, but if the if the
1:02:33 quality of the lecture hall recording
1:02:34 sucks, but you can get a transcript out
1:02:37 of it. You could just take a transcript.
1:02:39 They've 11 Labs has an audiobook feature
1:02:42 um where it'll break a longer piece into
1:02:44 into sections and chapters and you can
1:02:46 create audio books out of it. Um
1:02:50 anyway, look, they've got this new thing
1:02:52 now called image and video. So, if I
1:02:54 click on that, like here's image and
1:02:56 video. Now, look at this. So, if I go to
1:02:58 the to the drop-own menu here, um right
1:03:01 oops, not that. If I click where it says
1:03:04 omni in the lower lefthand corner here,
1:03:06 look at all these models.
1:03:09 This is This is just like every other
1:03:11 This is like Korea. This is like like
1:03:14 Leonardo. I'm back. What's the app? This
1:03:16 is 11 Labs. So 11 Labs, the audio only
1:03:20 voice synthesis and texttospech
1:03:23 company is now
1:03:26 doing creditbased image and video
1:03:29 generation. Everyone's trying to be the
1:03:32 everything app.
1:03:35 This is going to get more and more and
1:03:37 more and more and more and more and more
1:03:40 and more annoying.
1:03:43 Everything is too complicated already.
1:03:45 So they so so now and what they're going
1:03:48 to add in here I guarantee you I promise
1:03:50 you I promise you within six months 11
1:03:54 Labs will also have a vibe coding
1:03:56 platform in it. And then when when 3D
1:03:59 models become all the rage where you can
1:04:01 step into 3D worlds, you'll be able to
1:04:03 come to 11 Labs, choose all your voices,
1:04:08 come up with images, turn those into
1:04:09 videos, turn them into 3D worlds, vibe
1:04:12 code up game mechanics,
1:04:14 and spin up a game.
1:04:17 And then you can also use their API to
1:04:19 go build your own version of a game
1:04:20 builder. And you can put all this [ __ ]
1:04:22 in some other app. Like every like
1:04:24 everything's going to have everything in
1:04:25 it. And MCPs are going to make this even
1:04:28 worse. So, so if you don't know what
1:04:30 MCPs are, they're they're sort of like
1:04:32 this this lightweight um
1:04:36 API that that lets you
1:04:39 use apps outside of a chat
1:04:43 model um inside of it, which is cool,
1:04:48 but everything's going to be everywhere.
1:04:52 Everything everywhere all at once.
1:04:56 I'm brainstorming ways to liven up my
1:04:58 online biology courses for my spring.
1:05:00 Oh, that would be that's very cool for
1:05:03 my spring students. Um, I record at home
1:05:06 and put it online. Oh, yeah. So, so I
1:05:09 think voice changer. I mean, what I
1:05:11 would do, Cam,
1:05:13 is let's let's do some stuff tonight. I
1:05:16 guess we could do it in here.
1:05:19 Well, I don't know how to
1:05:22 This has got a
1:05:26 We We'll use Hedra. We'll use Hedra just
1:05:28 because I know it better. So, let's go.
1:05:30 We We'll use a couple of tools here. So,
1:05:33 so the the the goal here,
1:05:37 the goal here is going to be to record.
1:05:39 Okay. So, Okay. I Here's what we're
1:05:42 going to do. We're going to record a
1:05:43 lecture. What did you say? Biology
1:05:45 lectures. Biology courses. Okay. So, I'm
1:05:48 gonna pretend to be Cam Katkin. Cam.
1:05:51 It's Cam. Yeah. Excuse It's Cam Katkin
1:05:54 from Cleveland. Yeah. Yeah. It's just
1:05:56 Cam. It's Cam with a Cam with a with an
1:05:58 M. Yeah. No. No. With a C. Yeah. With a
1:06:00 C. Yep. No. K am would be weird. That
1:06:04 would be But because Cam Cat came from
1:06:06 Cleveland. It's three C's. That's that's
1:06:08 sort of my thing, right? You know. So,
1:06:10 anyway, I'm going to pretend to be Cam
1:06:14 and we're going to make we're going to
1:06:15 make some biology courses. So the first
1:06:16 thing is I need the opening
1:06:21 uh paragraph
1:06:23 from a lecture
1:06:26 uh lecture
1:06:29 on
1:06:30 biology
1:06:34 where I will be talking about life
1:06:39 escape
1:06:41 escape
1:06:45 velocity.
1:06:47 Okay, so now we're going to get our
1:06:49 script.
1:06:54 Here's an opening that hits biologist
1:06:56 with a poetic streak streak and tease
1:06:58 up. Okay,
1:07:02 life has always had one quiet obsession.
1:07:05 getting out. From the first
1:07:07 self-replicating molecules clawing their
1:07:10 way out of chemical chaos to cells
1:07:12 learning to slip slip the bounds of
1:07:15 their environments, biology is a long
1:07:17 record of escape attempts from entropy
1:07:20 to limitation from ex uh oh from entropy
1:07:24 from limitation from extinction. Today
1:07:27 we'll explore what I call life's escape
1:07:29 velocity. The moment where living system
1:07:31 gains enough complexity, adaptability,
1:07:33 or intention to break free from the
1:07:36 constraints that once defined it, it's
1:07:38 not physics. It's biology's oldest
1:07:41 instinct to transcend the conditions
1:07:43 that produced it.
1:07:46 Um,
1:07:48 okay, cool.
1:07:50 So, let's go record this.
1:07:57 Quick time player. We're going to do new
1:07:59 audio recording.
1:08:05 Uh, let's see.
1:08:11 Corey Sandler's in here a lot. All
1:08:13 right, here we go.
1:08:24 Needs more m dashes. Yeah, it's only got
1:08:26 two.
1:08:29 Okay.
1:08:33 Life has always had one quiet obsession.
1:08:36 Getting out. From the first
1:08:37 self-replicating molecules clawing their
1:08:39 way out of chemical chaos to cells
1:08:42 learning to slip the bonds of their
1:08:44 environments, biology is a long record
1:08:46 of escape attempts. From entropy, from
1:08:49 limitation, from extinction. Today,
1:08:52 we'll explore what I call life's escape
1:08:54 velocity. The moment when a living
1:08:56 system gains through complexity,
1:08:58 adaptability, or intention to break free
1:09:01 from its constraints that once defined
1:09:03 it. It's not physics. It's biologyy's
1:09:06 oldest instinct instinct to transcend
1:09:09 the conditions that preceded it. Okay,
1:09:13 so we've got that. Save that
1:09:17 and we're going to call it biology.
1:09:22 Okay.
1:09:26 Uh, I'm going to save it to desktop
1:09:30 biology. Okay. Now, let's go to Gemini
1:09:38 and say
1:09:43 um,
1:09:45 we're going to go to nano banana create
1:09:46 image. So, I'm going to say create
1:09:50 a an eccentric
1:09:56 female
1:09:58 biology
1:10:00 professor
1:10:04 who
1:10:06 dresses
1:10:08 like
1:10:11 she grew out of the earth and evolved. D
1:10:17 just a little
1:10:20 different than the rest
1:10:24 of us.
1:10:26 Um, she should be older
1:10:30 with
1:10:32 wild glasses,
1:10:34 wild hair,
1:10:39 and a wild
1:10:41 long coat.
1:10:46 Um,
1:10:51 it should look like a magazine.
1:10:56 Uh, let's see. A magazine studio
1:11:00 photograph
1:11:02 of her on a white
1:11:06 background.
1:11:08 Okay. So, we're going to invent our
1:11:09 professor.
1:11:11 We got to name her, too.
1:11:15 Here's your eccentric female biology
1:11:17 professor.
1:11:25 Perfect. That's great.
1:11:40 That's a biology professor. I want.
1:11:43 Okay. So, let's download her. We're
1:11:45 going to download the full-size version
1:11:47 of her.
1:11:50 Okay. Now, we'll go to 11 Labs.
1:11:57 Okay. So, so wait. Step one was learn
1:12:00 about biology. Cam Ken already has that.
1:12:02 I don't. So, in my case, I I had chat
1:12:06 GPT learn me real good. Um, so you get
1:12:09 your script, you record it. Okay, that
1:12:12 part she's already doing. So now what
1:12:15 we're doing is we're going to design a
1:12:17 persona and then we're going to design a
1:12:20 voice. Ah, okay. I got a good one.
1:12:22 Here's what we're going to do. Watch
1:12:24 this. This is going to be a blast. Okay,
1:12:25 chat GPT.
1:12:28 So I'm going to I'm going to upload our
1:12:30 wacky lady.
1:12:36 Is that her? Wait. M4A.
1:12:42 Oh, that didn't record my
1:12:48 Oh, no, that didn't record.
1:12:51 God dang it. Hang on a sec.
1:12:57 Tab. Yeah, I I'll get back to that in a
1:12:59 second. I got to record this again. Hang
1:13:02 on a sec.
1:13:05 New audio recording.
1:13:11 Are you actually recording this?
1:13:15 >> Are you actually recording this? Yes.
1:13:18 Okay.
1:13:21 Delete.
1:13:23 Um, I got to go find my script again,
1:13:26 don't I?
1:13:28 Uhoh.
1:13:31 Did I lose my script? This is going to
1:13:34 suck. Here's chatpt.
1:13:37 Oh, no I didn't. Okay, got it. All
1:13:41 right. Am I still sharing? You can you
1:13:44 can share the screen again. Am I still
1:13:46 sharing this? Yeah, I am.
1:13:50 Okay. New audio recording.
1:13:59 Life has always had one quiet obsession.
1:14:02 Getting out. From the first
1:14:04 self-replicating molecules clawing their
1:14:07 way out of chemical chaos to cells
1:14:09 learning to slip the bonds of their
1:14:11 environments, biology is a long record
1:14:14 of escape attempts. From entropy to
1:14:17 limitation
1:14:19 to extinction. God damn it.
1:14:22 Shut up. Shut up.
1:14:28 This is this is this is education
1:14:31 people. Okay. This is using AI in
1:14:34 education in a non-cheing kind of way.
1:14:38 It's a creative way.
1:14:42 Life has always had one quiet obsession.
1:14:45 Getting out. From the first
1:14:47 self-replicating molecules clawing their
1:14:49 way out of chemical chaos to cells
1:14:51 learning to slip the bonds of their
1:14:53 environments, biology is a long record
1:14:55 of escape attempts from entropy, from
1:14:58 limitation, from extinction.
1:15:01 Today, we'll explore what I call life's
1:15:03 escape velocity. The moment when a
1:15:06 living system gains gains enough
1:15:08 complexity, adaptability, or intention
1:15:11 to break free from the constraints that
1:15:13 once defined it. It's not physics. It's
1:15:15 biologyy's oldest instinct to transcend
1:15:19 the conditions that produced it.
1:15:22 Okay. Does this did this work?
1:15:26 >> Life has always
1:15:27 >> Yes. Okay. save
1:15:30 um biology.
1:15:37 Okay, so we're in chat GBT. So, I'm
1:15:38 going to do new chat
1:15:41 and then I'm going to go find our little
1:15:42 biology picture, our cute little lady.
1:15:46 And where did she go? Did she go to this
1:15:48 other desktop? No. Did she go to
1:15:51 downloads? Yes. Right. Oh, am I not
1:15:55 sharing her? Oh, you can't see Windows.
1:15:58 Okay, so I uploaded her. Failed to
1:16:00 upload. Okay, fine. Let me try it again.
1:16:04 Calm down, everybody. Just calm down.
1:16:08 Come on. Come on.
1:16:11 Plus
1:16:13 upload files.
1:16:16 Cute lady. Okay, she's uploaded now. So
1:16:19 now I'm going to say
1:16:21 um
1:16:24 please
1:16:30 tell me her name,
1:16:35 her story,
1:16:38 and
1:16:42 a detailed paragraph
1:16:46 on what her
1:16:49 voice sounds like because we're not only
1:16:53 going to pick a voice for her, we're
1:16:55 going to design a voice for her.
1:17:00 Oh, wait. Let me stop it. Um,
1:17:04 I forgot to tell you she is a biology
1:17:10 professor.
1:17:12 Okay,
1:17:15 perfect. Let's weave her her name.
1:17:17 Professor
1:17:19 Eloan Brierhollow,
1:17:22 chair of experimental botany and
1:17:24 symbiotic systems at the University of
1:17:27 Alderfen.
1:17:29 She is legendary, slightly infamous. Um,
1:17:33 she specializes in symbiosis, fungal
1:17:35 intelligence, and microe ecosystem
1:17:38 communication, which is actually pretty
1:17:40 cool. The terranium. Okay. Blah blah
1:17:42 blah. What her voice sounds like? Her
1:17:43 voice is an extraord extraordinary blend
1:17:46 of warmth and mischief. A soft weathered
1:17:48 alto with a gentle rasp of someone who
1:17:50 spent years lecturing. Okay, so we're
1:17:54 going to grab
1:17:56 this description of her voice
1:18:00 and we're going to go to 11 Labs and
1:18:02 we're going to design it. An
1:18:04 extraordinary blend. Okay.
1:18:07 Um,
1:18:10 so let's just go to 11 Labs
1:18:17 and then we're going to go to voices and
1:18:19 we're going to go plus
1:18:23 and we're going to design a voice. So
1:18:25 I'm going to grab this. I'm going to say
1:18:27 an older professor.
1:18:30 An older female professor
1:18:37 with
1:18:42 an extraordinary blend of warmth with a
1:18:45 voice
1:18:50 that is an extraordinary blend of warmth
1:18:54 and mischief. Can you see this? Yes,
1:18:56 we're good. All right. Fantastic. Bob.
1:19:00 Hey, Bob.
1:19:02 Yeah. Could you tell them what they've
1:19:04 won? They haven't won anything. Okay.
1:19:09 Um,
1:19:11 generate voice.
1:19:29 All right. So, don't forget, here's what
1:19:32 she looks like. Let's go look at her.
1:19:37 Um,
1:19:39 >> good morning everyone. Today, we're
1:19:41 delving into the fascinating world of
1:19:43 Micro Risal Networks.
1:19:46 >> Good morning, everyone.
1:19:48 >> That's it. Today we're delving into the
1:19:51 >> Good morning everyone.
1:19:53 >> You too.
1:19:53 >> Good morning everyone.
1:19:55 >> Yeah,
1:19:56 >> today we're delving into the fascinating
1:19:58 world of microisal networks.
1:20:04 >> Wait, what's her name? We got to go get
1:20:06 her name. Oh, I I I ate the the tab.
1:20:09 Does anybody remember her name? It was
1:20:11 something Brier Hollow, wasn't it?
1:20:14 Professor
1:20:18 um Eloin
1:20:22 Brier Hollow.
1:20:24 She's talking about fungi now. I know it
1:20:26 it just came up with that based on the
1:20:28 description. Um Eloan Brier Hollow. I
1:20:34 think that her name
1:20:38 Hollow Hollow.
1:20:40 Brier Hall. I don't know. Hollow.
1:20:45 Hollow. Fine. Professor Ellen Prior
1:20:48 Hollow language. He's going to speak
1:20:50 English.
1:20:54 Um, okay. Save the voice.
1:20:59 Oh, this is too much. Okay. So, let's
1:21:01 see. Um,
1:21:04 an eccentric
1:21:07 professor of
1:21:10 biology.
1:21:15 Okay.
1:21:18 Biology. Save the voice. Okay. So, now
1:21:21 we have the voice, right? So, now we're
1:21:24 going to take my eloquent reading of
1:21:28 said script and we're going to put it in
1:21:31 Professor Brier Hollow's
1:21:36 voice. And then we're going to take that
1:21:39 and we're going to animate that picture.
1:21:41 So, she actually does the teaching.
1:21:46 Is this Is this making sense, Cam? So,
1:21:50 get your script, record it, design your
1:21:53 voice, design your character. You can
1:21:56 also do multiple characters. That would
1:21:58 be a fun thing to do. So, now I'm going
1:22:00 to go to text to voice,
1:22:03 text to speech. Oh, no, wait. Oh, no. I
1:22:07 need voice changer. I'm going to go to
1:22:09 voice changer. I'm going to upload.
1:22:16 >> Life has always had one quiet obsession.
1:22:19 Yep. Right. And then we're going to go
1:22:22 grab Professor Lolen Brier Hollow.
1:22:29 Oh, we're going to do style
1:22:30 exaggeration. We're going to do We're
1:22:32 going to We're going to pull
1:22:32 exaggeration up.
1:22:35 All right.
1:22:38 Remove background noise. We don't need
1:22:40 that. Speaker boost style exaggeration.
1:22:42 Okay, here we go. Model V2. Can I do V3?
1:22:46 Apparently not. Fine.
1:22:48 Fine. Be that way.
1:22:52 All right, here we go. Voiceovers.
1:22:58 Oh, 11 Labs also has a song generator
1:23:00 now, too. So, so they really are trying
1:23:03 to become the everything app.
1:23:05 >> Life has always had one quiet obsession.
1:23:08 getting out. From the first
1:23:10 self-replicating molecules clawing their
1:23:12 way out of chemical chaos to cells
1:23:15 learning to slip the bonds of their
1:23:16 environments, biology is a long record
1:23:18 of escape attempts.
1:23:20 >> Let's try let's try to increase the
1:23:23 exaggeration a bit more. Similarity
1:23:26 similarity can be low.
1:23:29 Stability we'll leave alone. Let's
1:23:31 generate this again. Two free
1:23:33 generations.
1:23:39 Life has always had one quiet obsession.
1:23:42 Getting out. From the first
1:23:44 self-replicating molecules clawing their
1:23:46 way out of chemical chaos to cells
1:23:49 learning to slip the bonds of their
1:23:50 environments. Biology is a long record
1:23:53 of escape attempts from entropy, from
1:23:56 limitation, from extin.
1:23:58 >> All right, we're gonna try we're gonna
1:23:59 try something here. So, I'm going to
1:24:00 download that one. So, we've got that
1:24:01 one in the can. So, that one's good. But
1:24:03 I want to gra go grab the text of that
1:24:07 which I can do by going back in this
1:24:10 tab. Right.
1:24:18 Yeah. Not that one
1:24:22 here. So, we're going to do text to
1:24:25 speech.
1:24:27 So that was voice changer that I just
1:24:28 did because what you might also be able
1:24:30 to do Cam is not even have to record it,
1:24:34 just write it. And then
1:24:41 let's see. And then here we are.
1:24:44 So we're going to go text to speech.
1:24:51 All right. So this is 11 lives. Okay. So
1:24:53 watch this is really cool. Watch this.
1:24:56 So, I paste in her
1:24:58 the thing I recorded
1:25:01 and then this is using um 11 Labs V3
1:25:05 which has a lot more um nuance to it.
1:25:08 LinkedIn comment. I thought Elon Musk
1:25:10 said X was the everything app
1:25:11 regardless. Um that's amazing that they
1:25:14 have song generation. Now I'm stuck. I
1:25:17 was stuck on producer AI. Well, so so
1:25:20 first of all, I think producer AI is
1:25:22 amazing. Um, it's worth trying 11 Labs
1:25:25 song generation. Um, but I don't know if
1:25:27 you heard earlier, Sunny, 11 Labs now
1:25:30 also has image and video generation.
1:25:32 Like, it's just it's bonkers. Um,
1:25:36 and then Sunno, if you haven't played
1:25:38 with Suno, like Sunno is also really
1:25:39 really good. Okay. Um, I also tried
1:25:42 Matthew McConna heard is is an investor
1:25:45 in 11 Labs and just licensed his voice.
1:25:47 Yeah, correct. Him and Michael Kaine.
1:25:50 So, 11 Labs. Okay, here's a here's a
1:25:53 whole other thing that is happening that
1:25:55 I find mindbending
1:25:57 and incredibly cool and there's so much
1:26:00 opportunity for all of us here.
1:26:03 Every
1:26:05 every creation platform
1:26:09 are essentially also becoming studios or
1:26:12 labels, right? So, 11 Labs now has a
1:26:16 division. I forget what it's called.
1:26:18 It's like the the um the famous voice
1:26:21 division or something like that. It's
1:26:23 like it's it's a fancier name than that,
1:26:25 but it's basically like if you're a
1:26:27 famous person, you can cut a deal with
1:26:30 11 Labs where they will sample your
1:26:32 voice and then license it out to
1:26:33 everyone and you never have to [ __ ]
1:26:35 read another thing. Anyway, so this
1:26:37 thing right here, so so version three, I
1:26:40 pasted in the text and now I'm going to
1:26:41 hit this enhance button. So before I
1:26:43 generate the speech, I'm going to hit
1:26:44 enhance. And what it's going to do is
1:26:46 it's going to put in Oh, it didn't it
1:26:49 didn't add anything.
1:26:51 That's weird.
1:26:57 Okay. So, let's see. I'm going to put I
1:27:01 I'll manually type them. Mysterious.
1:27:07 So, mysterious. Life has always had one
1:27:09 quiet obsession. Then I'm going to put
1:27:11 dramatic.
1:27:15 getting out and then I'm going to put
1:27:19 um clears throat
1:27:25 um from the first self-replicating
1:27:27 molecules
1:27:29 and then I'm going to say um dramatic
1:27:39 and then I'm going to go
1:27:43 um
1:27:45 inviting.
1:27:47 So I'm basically giving acting notes,
1:27:50 right?
1:27:52 And then I'm going to go stern at the
1:27:55 end here. Okay.
1:27:58 Generate speech. And so it'll be
1:28:00 interesting to compare these two. I have
1:28:01 a feeling this is going to be much
1:28:03 better. So
1:28:04 >> life has always had one quiet obsession.
1:28:08 >> No, that's awful.
1:28:09 >> Getting out. Life has always had one
1:28:13 quiet obsession.
1:28:15 Getting out.
1:28:19 From the first self-replicating
1:28:21 molecules clawing their way out of
1:28:24 chemical chaos.
1:28:25 >> Why do they not have a speed setting?
1:28:27 This is bad.
1:28:29 >> Um, try voiceover. Try studio 3.0
1:28:33 history.
1:28:36 Reset values. and it was all clicky and
1:28:39 shitty. All right, we'll use mine.
1:28:42 That's fine. Whatever. Okay, so now
1:28:46 let's go to Hedra
1:28:50 because Hedra Hedra right now is the one
1:28:52 for me that is the the one where you can
1:28:55 do some a decently long
1:28:58 script. I forget. I don't know what the
1:29:00 limitation is. Might be three minutes,
1:29:01 might be five.
1:29:03 They do have a speed setting. Okay,
1:29:05 cool.
1:29:07 Sounds like videos used to be so slow.
1:29:09 Yeah, I know, right? I wanted to use AI
1:29:11 to change my voice with my lectures.
1:29:12 Spice it up a bit. Okay, so we're going
1:29:15 to go home. Why is Hedra broken?
1:29:18 Hedra.com.
1:29:22 Okay, let's Okay, so video.
1:29:27 Okay, so we're using the Hedra character
1:29:30 model and then I'm going to add the
1:29:32 character. So, we're going to upload an
1:29:34 image.
1:29:36 And we're going to go find her
1:29:37 girlfriend,
1:29:39 Eloen Brier Hollow.
1:29:42 And then we're going to add the speech.
1:29:44 And so this is going to be the voice
1:29:47 swap I did of my acting.
1:29:50 >> Life has always had one quiet obsession
1:29:52 getting
1:29:53 >> There you go.
1:29:55 All right. And then I'm going to go um
1:29:59 the professor
1:30:02 um
1:30:06 lectures
1:30:08 her students
1:30:12 um
1:30:16 with
1:30:19 uh high energy. I don't know what that
1:30:22 means. I don't know if that's actually
1:30:23 going to do anything.
1:30:27 But now it's going to go make us a
1:30:29 video.
1:30:31 All right. I've done I've done our
1:30:34 lecture formats, but switching to micro
1:30:37 lectures
1:30:39 Yeah. might be fun. Yeah. Yeah. I think
1:30:41 I think that's what's cool about micro
1:30:44 lectures, Cam, is that you can there's
1:30:46 all sorts of ways you can repurpose them
1:30:48 and you could make little like each
1:30:50 little micro lecture could be a
1:30:53 different person or you could have like
1:30:56 you could come up with like eight
1:30:58 different characters that when you're
1:30:59 talking about entropy, it's always the
1:31:02 entropy chaos dude, right? When you're
1:31:05 talking about, I don't know, um,
1:31:08 chemistry, you could have a chem
1:31:10 chemical dude. I don't know. There's all
1:31:12 sorts of fun stuff you could do with it.
1:31:14 It depends depends how much time you
1:31:16 want to put into it. But like so so
1:31:19 actually Cam, what you're hitting on
1:31:22 here is I'll I'll come back to this. Let
1:31:24 me go full screen for a second. Brandon,
1:31:27 um what Cam's hitting on here
1:31:32 is something that I am I am newly
1:31:34 obsessed with, but I haven't I haven't
1:31:36 started doing it myself. I think I'm
1:31:38 going to make this part of my daily
1:31:39 practice with AI, which if you don't
1:31:42 have a daily practice with AI, you need
1:31:43 to join the AI salon mastermind and join
1:31:46 the practice lab. And so, we're we're
1:31:49 helping people design a daily practice
1:31:51 centered around their use of AI.
1:31:54 What you're hitting on is something that
1:31:57 I think is
1:31:59 tremendously exciting and we
1:32:04 as monotasking
1:32:09 humans
1:32:12 have never had to think about which is
1:32:14 this. For any idea that we want to put
1:32:17 into the world right now, we think in
1:32:20 linear ways we think in single outputs,
1:32:22 right? I'm going to write a book. I'm
1:32:24 going to give a lecture. I'm gonna make
1:32:26 a movie. I'm gonna create an app. I'm
1:32:29 going to create a business. Right? We
1:32:30 think in these kind of mono monot track.
1:32:34 It is it's the rare person that thinks
1:32:36 multimodally.
1:32:40 We're I would argue that we've entered
1:32:42 it already, but it's going to get easier
1:32:44 and easier and easier. the the
1:32:47 like like right now the the little
1:32:50 professor character that I I just
1:32:51 created I had to go to I I used chat GPT
1:32:55 I used Gemini I used 11 labs
1:33:00 I used Hedra
1:33:02 and then I went back and and within 11
1:33:04 Labs I used two two tools and within
1:33:06 chat GPT I used one or two right so that
1:33:09 simple little example there's four tools
1:33:11 already it's going to get to the point
1:33:13 where you'll be able to use any tool
1:33:15 just seamlessly like the friction is
1:33:17 just going to drop.
1:33:20 And what it means is we can have an idea
1:33:23 like you could have an idea for a
1:33:24 lecture cam where it could be okay I'm
1:33:28 going to give them the traditional
1:33:29 lecture and that's available on YouTube.
1:33:31 It's the one hour thing. I'm going to do
1:33:32 the micro dramas and those are going to
1:33:34 be Tik Tok format and I'm going to put
1:33:36 them into a special vertical university,
1:33:40 right? And the only thing in vertical
1:33:42 university is, you know, the the
1:33:45 lectures can be no longer than five
1:33:46 minutes and it's vertical scrolling and
1:33:48 it's you learn things based on what's
1:33:50 recommended to you based on the
1:33:52 curriculum you signed up for, right?
1:33:54 It's a nonlinear linear thing, right?
1:33:57 But then I'm also going to create um a
1:34:00 3D animation. I'm going to create a
1:34:02 video game where you actually enter the
1:34:04 world and you experience the concept
1:34:07 that I'm teaching you and we're going to
1:34:09 make a song about it. We're going to
1:34:10 make it we're going to choreograph a
1:34:12 dance about it. We're going to create an
1:34:14 app that allows you to explore it.
1:34:16 That's you can explore it with
1:34:18 flashcards or repetitive concept
1:34:22 exercises or visual somethings. Right?
1:34:27 Imagine for any idea any of us have
1:34:32 getting into that mental state where
1:34:34 you're not thinking about a single
1:34:35 output, but you're thinking about what
1:34:37 are all of the possible ways that would
1:34:40 be relevant to my audience.
1:34:43 And like there's no consideration of
1:34:45 time or effort because it will
1:34:48 essentially be effortless.
1:34:50 But what will take time is you coming up
1:34:53 with well, what's the idea? What do I
1:34:56 want to communicate? Who am I
1:34:57 communicating with? What would be
1:34:59 interesting to them? What are my values?
1:35:02 Are we going to have like sexy TNA
1:35:04 ladies or are we going to have like, you
1:35:06 know, eccentric old professors? That's a
1:35:10 choice we get to make, right?
1:35:13 That's the human component,
1:35:16 right? The most important piece of what
1:35:19 we do is our contribution to it, not the
1:35:23 technology. The technology will be
1:35:25 sitting there. It's it's fine. It's
1:35:28 going to get better. It's going to be
1:35:29 awesome.
1:35:32 What are you doing in the world? Right?
1:35:35 And then and then imagine getting to to
1:35:38 sort of a mental
1:35:40 nimleness,
1:35:42 doing a daily practice, practicing
1:35:44 daily, not just putting out a single
1:35:46 output. Today, I'm going to put out
1:35:48 three outputs. Tomorrow it's going to be
1:35:50 five. The next day it's going to be one
1:35:52 because I'm tired and I don't give a
1:35:54 [ __ ] Right? All right. Let's go look.
1:35:57 We've got our We've got our lady.
1:36:00 Let's look at what we got here, peoples.
1:36:02 All right. All right. Fantastic. Here's
1:36:05 our little lady.
1:36:07 >> Life has always had
1:36:13 >> one quiet obsession, getting out. From
1:36:16 the first self-replicating molecules
1:36:18 clawing their way out of chemical chaos
1:36:21 to cells learning to slip the bonds of
1:36:23 their environments, biology is a long
1:36:25 record of escape attempts from entropy,
1:36:28 from limitation, from extinction.
1:36:31 Today, we'll explore what I call life's
1:36:34 escape velocity. The moment when a
1:36:36 living system gains gains enough
1:36:38 complexity, adaptability, or intention
1:36:41 to break free from the constraints that
1:36:43 once defined it. It's not physics. It's
1:36:46 biologyy's oldest instinct to transcend
1:36:49 the conditions that produced it.
1:36:52 >> How cool is that?
1:36:54 Come on.
1:36:57 You understand what I'm saying here,
1:36:59 people?
1:37:03 Like
1:37:04 >> life has always had one quiet.
1:37:07 >> We live in this world. We live in this
1:37:09 world now.
1:37:16 We live in this world.
1:37:21 I teach biology online. I'm looking for
1:37:23 ways. Yeah, there you go. What do you
1:37:25 think, Cam? You like our little girl?
1:37:27 I'm going to I'm going to post her, too.
1:37:31 You are so creative. It's awesome. Oh,
1:37:32 thank you, Fabiana. I appreciate that.
1:37:35 Um, is she moving? I missed it. Yeah, it
1:37:38 I couldn't zoom in enough. So, I'll I'll
1:37:40 upload her to to my ex channel and then
1:37:45 she needs a Cleveland rocks t-shirt. She
1:37:47 does. Brandon, you gota you got to hook
1:37:49 up Cam.
1:37:52 Um, her her movement is really cool.
1:37:54 She's she's holding this this terrarium
1:37:56 bowl and at one point she sort of, you
1:37:58 know, lifts it with one hand in kind of
1:38:00 a weird kind of way, but like her the
1:38:02 little sticks in her hair are moving.
1:38:04 It's pretty cool. All right. So, let me
1:38:06 um let me upload it to um
1:38:10 to X and you know, watch me lose my [ __ ]
1:38:12 again. Okay. Um meet
1:38:18 Professor
1:38:20 Lol.
1:38:22 What was her name? Something hollow.
1:38:25 Brier Hollow.
1:38:36 Tonight on the AI learning lab
1:38:42 live stream,
1:38:44 we
1:38:46 explored how to make
1:38:51 a an online and online lecture.
1:39:00 lecture
1:39:02 more interesting
1:39:05 for the for today's youth.
1:39:14 She was invented with
1:39:18 um
1:39:20 we'll go at chatgpt
1:39:27 Uh what else did we use?
1:39:31 Um
1:39:32 at 11 Labs.
1:39:40 So let's say we'll do script
1:39:43 script
1:39:46 name
1:39:49 voice description
1:39:54 chat GPTU
1:40:05 and then we'll do um
1:40:09 voice design
1:40:13 and voice swap
1:40:16 11 labs,
1:40:22 right?
1:40:24 And then um
1:40:29 character
1:40:33 design. Uh character uh
1:40:38 yeah, character design. Yeah.
1:40:42 Uh
1:40:44 at Gemini
1:40:49 and then at nano banana
1:40:56 nano banana
1:41:02 and then
1:41:04 um
1:41:07 come on
1:41:10 animation
1:41:14 at Hedra,
1:41:16 right?
1:41:19 And then we'll tag Robert Scoble because
1:41:22 he likes these kind of things.
1:41:25 Um,
1:41:27 she was created with, let's say, well,
1:41:29 I'll say she was invented with human
1:41:33 imagination
1:41:36 amplified
1:41:39 with
1:41:41 chat GPT1 11 Labs.
1:41:44 All right, beautiful. Let's go grab her.
1:41:48 I didn't mean it like that. We're not
1:41:49 going to actually grab her. Come on,
1:41:51 people.
1:41:53 Get your minds out of the gutter. Y'all
1:41:55 weirdos.
1:41:58 Why can I not edit the name of that? Oh,
1:42:00 because I'm I see. Never mind. Fine.
1:42:04 We'll let it have a weird name.
1:42:07 Uh uh uh
1:42:10 0% error
1:42:14 error. We got an error. We're going to
1:42:17 try to post her. This is awesome, Kyle.
1:42:20 Thank you. You're welcome.
1:42:22 You are welcome.
1:42:26 Did we get up? Did we do it? Error. No.
1:42:28 Post. Let's try again.
1:42:31 We're going to We're doing the uh We're
1:42:33 doing the Twitter shuffle. I'm trying to
1:42:36 get it to uh not suck.
1:42:42 Um where did I save her? Downloads. Yes.
1:42:47 All right. So, we're going to do export
1:42:49 as 720p.
1:42:53 We'll go professor
1:42:58 Brier
1:43:00 Hollow
1:43:03 desktop. save.
1:43:13 I know you I know you're all waiting for
1:43:15 me to upload something. I am trying.
1:43:23 Okay. 2% 1% 9% 0%. Error. Awesome.
1:43:31 This is the best. You know what's fun?
1:43:34 Hey, hey, Elon Musk. You know what's
1:43:36 awesome?
1:43:38 Um, when I spend an hour creating a
1:43:43 15-second video that's super cool that I
1:43:47 want to share with the world on your
1:43:48 awesome platform and then I spend
1:43:50 another [ __ ] hour trying to upload
1:43:53 it.
1:43:55 So cool. That's so RZ. It's like
1:44:00 I feel jacked.
1:44:10 I forgot how good the Grock video tool
1:44:12 was. Yeah, the Grock video tool is
1:44:13 really cool.
1:44:16 50%. We might get there. 60%. This might
1:44:19 happen. I think it's going to happen. I
1:44:21 think Elon heard us. He's like, "Go
1:44:23 ahead, put his upload through. Let's
1:44:25 just do it. Let's just let Kyle get
1:44:28 Yeah, there we go. Beautiful. Beautiful.
1:44:30 Fantastic people. All right. Here. Cam
1:44:33 Catkin. Here we go. Listen. Watch again.
1:44:35 I'm gonna zoom in on her.
1:44:38 Let's see. Let's see. Here we are. There
1:44:41 we are. Here she is. She's fantastic.
1:44:45 >> Escape attempts.
1:44:46 >> All right, let me Can I zoom?
1:44:48 >> Life has always had one quiet obsession.
1:44:51 Getting out. From the first
1:44:53 self-replicating molecules clawing their
1:44:55 way out of chemical chaos to cells
1:44:58 learning to slip the bonds of their
1:44:59 environments, biology is a long record
1:45:01 of escape attempts from entropy, from
1:45:05 limitation, from extinction.
1:45:07 Today, we'll explore what I call life's
1:45:10 escape velocity. The moment when a
1:45:12 living system gains gains enough
1:45:14 complexity, adaptability, or intention
1:45:17 to break free from the constraints that
1:45:19 once defined it. It's not physics. It's
1:45:22 biologies.
1:45:23 >> Yes, Sunny. I I am sharing a screen. So,
1:45:26 if you're not seeing it, that's weird.
1:45:28 You should see a live stream with me in
1:45:30 a circle and professor Professor Brier
1:45:32 Hollow right on screen here with me.
1:45:38 >> The oldest instinct to transcend the
1:45:41 conditions that produced it.
1:45:45 Life has always had one quiet obsession.
1:45:47 getting out.
1:45:49 >> From the first self-replicating
1:45:50 molecules clawing their way out of
1:45:52 chemical chaos to cells learning to slip
1:45:55 the bonds of their environments, biology
1:45:57 is a long record of escape attempts from
1:46:00 entropy, from limitation, from
1:46:02 extinction
1:46:04 today.
1:46:05 >> All right, there you go. So, do me a
1:46:07 favor. Go to uh go to uh the Twitter and
1:46:11 look me up. I'm Kyle Shannon and and go
1:46:14 find the professor.
1:46:17 She's so cool. And Cam, feel free if you
1:46:19 want to share her tomorrow. I know it's
1:46:20 kind of [ __ ] script there. Um but um
1:46:23 but if you want to share her tomorrow
1:46:24 and just talk about how that was put
1:46:26 together, maybe get ideas from your
1:46:28 students about what they'd like. That
1:46:30 could be fun.
1:46:32 That was my second grade teacher. I'm
1:46:34 seeing that. Oh, it was an old message.
1:46:36 Okay, cool. Oh, yeah. Then I was
1:46:38 probably not sharing my screen. I am
1:46:40 famous
1:46:41 producer Brandon. His sole job in the
1:46:43 world is to babysit me. and if I'm
1:46:45 sharing the right tab or not. And
1:46:47 usually the answer is no. I'm not
1:46:49 sharing the right tab.
1:46:53 What does she have in her hands? It's a
1:46:55 it's a little uh like a little um a
1:46:58 fishbowl terrarium. So, it's got like
1:47:01 dirt in the bottom and little plants in
1:47:03 it. And she's holding this little
1:47:04 terrarium in her hands. It's really
1:47:05 cool.
1:47:07 And like her, this is a very Corey
1:47:09 Sandler. I don't know if Corey Sandler's
1:47:10 here tonight, but this is a very Corey
1:47:12 Sandler kind of character.
1:47:14 So good.
1:47:16 She just she's [ __ ] whack attack.
1:47:19 Look at her.
1:47:23 And she's got fairy wings, too. It's the
1:47:26 best.
1:47:28 >> Life has always had one quiet obsession.
1:47:30 Getting out. From the first
1:47:32 self-replicating molecules clawing their
1:47:34 way out of chemical chaos to cells
1:47:37 learning to slip the bonds of their
1:47:39 environments. Biology is a long record
1:47:42 from entropy, from limitation, from
1:47:45 extinction.
1:47:47 >> Today, we'll explore what I call life's
1:47:49 escape velocity. The moment when a
1:47:51 living system games
1:47:54 >> so good. She She's intelligent. She's
1:47:56 wacky.
1:47:59 So good. All right. Cool. Um, all right.
1:48:02 I got to get out of here. I'm I am I am
1:48:04 whip tired. And uh but that was fun. Um,
1:48:08 thank you for the good inspiration
1:48:09 there, Cam. That's a fun one. Um,
1:48:14 and and you know, for everyone here
1:48:16 again, you know, I I want to take you
1:48:18 back. There's there's two things I want
1:48:20 you to pay attention to.
1:48:22 One is
1:48:24 tell everyone you know about AIFest. So,
1:48:28 AIFest.com
1:48:30 or Brandon will pop it up on screen
1:48:32 right here. Um,
1:48:36 December 26th and 27th, 9:00 a.m. to
1:48:39 9:00 p.m. Pacific time, noon to midnight
1:48:42 Eastern, Friday and Saturday. Um, it's
1:48:47 going to be remarkable. It's going to be
1:48:49 We're going to just have amazing
1:48:50 speakers. It's going to be amazingly
1:48:52 inspirational. So, that's one thing. And
1:48:55 it's free. So, like seriously, you
1:48:57 should [ __ ] invite your family. Like
1:48:59 all the people that are like, "Could you
1:49:00 stop talking about AI?" No. How about we
1:49:03 go spend 12 hours with people that are
1:49:06 transforming their lives with AI? Aunt
1:49:08 Martha,
1:49:11 you little mini,
1:49:18 you big tub of dumb. Let's Let's get you
1:49:21 Let's get those brain cells fired up and
1:49:23 get you into chat. JPET.
1:49:26 Um, so I want you to do that. And then
1:49:28 the other thing I want you to do is I
1:49:30 really want you to start thinking about
1:49:32 designing for yourself a daily practice
1:49:36 centered around how you use AI.
1:49:40 And I don't care if you do it in the AI
1:49:42 salon, great. But whether you do an AI
1:49:44 salon or not, what the good thing about
1:49:46 the AI salon is we're doing this thing
1:49:48 called the practice lab where once a
1:49:50 week you can come and we're using this
1:49:52 framework we created to help everyone
1:49:54 design an incredibly powerful daily
1:49:57 practice. But you can do it on your own.
1:50:00 It just means being intentional.
1:50:02 But get yourself in reflection mode. Get
1:50:05 yourself in curiosity mode. Get yourself
1:50:07 in build mode where you're doing
1:50:09 excellent work. And then get yourself in
1:50:12 service mode where you're sharing with
1:50:14 other people. You're generously leading.
1:50:16 You're asking questions of others.
1:50:18 You're sharing the stuff you've built.
1:50:20 Like we just shared the little professor
1:50:22 here, right? Um
1:50:29 the technology is irrelevant.
1:50:33 We're important.
1:50:35 Technology is remarkable, but it's this
1:50:38 background capability. It's not a
1:50:40 foreground capability,
1:50:43 right? If you put AI in front of you,
1:50:45 then we're confronting it. We're
1:50:47 competing with it. It will take our
1:50:50 jobs. It will suck.
1:50:53 But if you put it behind you, put you in
1:50:55 the center and say, "Here's what I want
1:50:58 to do. Here's my values. Here's the the
1:51:01 way I want to change the world. And now
1:51:03 I'm going to tap into my knowledge of AI
1:51:05 to take those ideas and blow them out.
1:51:09 That's going to change the [ __ ]
1:51:10 world. All right. So, that's what I want
1:51:13 you thinking about tonight. Beautiful.
1:51:15 Another great session. Thank you, Sony.
1:51:17 I appreciate that.
1:51:19 Okay. Um,
1:51:23 yeah. I'm gone. I'm out. Think about
1:51:25 that [ __ ]
1:51:27 Sleep on that. Put that in your pipe and
1:51:29 smoke it.
1:51:32 Angry Gen Xer signing out. Peace.
1:51:36 All right. Later, everybody.