
AI Learning Lab
11/24/2025 - Generating a Lego Career Map From a LinkedIn Profile

Live Stream2025-11-251:42:07125 views
Description
In this engaging session, Kyle Shannon explores the rapidly evolving landscape of AI tools, beginning with his frustrations using OpenAI's Sora video maker and comparing the new shopping features in ChatGPT and Google Gemini. He tests both platforms with practical searches for items like pizza ovens and nugget ice makers, sparking a discussion on how these AI models are transforming into "everything apps," similar to the early days of AOL. Kyle reflects on this significant shift, suggesting we are moving out of a text-centric digital age and into a more dynamic and intuitive future driven by voice and visual interaction, making current text-heavy interfaces feel increasingly outdated.
The highlight of the stream is a creative, hands-on demonstration where Kyle uploads his LinkedIn profile to Google Gemini and prompts its "Nano Banana" image generator to create a photorealistic Lego-themed "career map." He then animates this unique image into a short video styled as a 1990s toy commercial, showcasing the incredible potential for personal and professional storytelling with AI. This exercise serves a larger point about the untapped opportunities available right now. Referencing Gary Vaynerchuk's focus on AI, Kyle encourages viewers to experiment, find their niche, and use these powerful tools as an amplifier for their passions, highlighting how anyone can pioneer new creative careers in this new era.
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Chapters:
00:00:00 Intro
00:01:29 Happy Monday
00:03:45 Sora Crashing Issues
00:04:41 Technical Difficulties
00:08:27 Original Song
00:10:11 IS IT an AI Bot?
00:13:19 Gary VEE on AI
00:15:58 Black Friday History
00:17:33 Chatgpt Shopping Demo
00:23:37 Gemini Shopping Demo
00:25:10 THE AOL Analogy
00:31:51 Exiting the Text AGE
00:33:06 Linkedin Profile Tutorial
00:36:05 Lego Career MAP
00:39:43 AI Prompt Rage
00:41:56 Shitty Software
00:46:46 Nano Banana Origins
00:51:25 AI Curing Illnesses
00:58:38 Lego Career Video
01:03:26 AI Festivus Promo
01:05:26 Brainwashing the Haters
01:08:12 1990S TOY Commercial
01:13:23 Prominent People Policy
01:19:17 What AI Makes Possible
01:23:33 THE 6-Week Challenge
01:29:13 THE Kelly Bosch Example
01:30:35 Daily AI Practice
01:36:08 Gemini Live Voices
01:39:18 Sydney the Musical
01:40:14 Welcome to the Community
Chapters
0:00Intro1:29Happy Monday3:45Sora Crashing Issues4:41Technical Difficulties8:27Original Song10:11IS IT an AI Bot?13:19Gary VEE on AI15:58Black Friday History17:33Chatgpt Shopping Demo23:37Gemini Shopping Demo25:10THE AOL Analogy31:51Exiting the Text AGE33:06Linkedin Profile Tutorial36:05Lego Career MAP39:43AI Prompt Rage41:56Shitty Software46:46Nano Banana Origins51:25AI Curing Illnesses58:38Lego Career Video1:03:26AI Festivus Promo1:05:26Brainwashing the Haters1:08:121990S TOY Commercial1:13:23Prominent People Policy1:19:17What AI Makes Possible1:23:33THE 6-Week Challenge1:29:13THE Kelly Bosch Example1:30:35Daily AI Practice1:36:08Gemini Live Voices1:39:18Sydney the Musical1:40:14Welcome to the Community
Transcript
0:01 do. 0:24 See the hill is quiet. 0:28 Let the old trees sway. 0:32 The town it comes through today. 0:38 >> People greet you with a kn 0:41 seems to change. 0:44 Stories still unfold. Each unique 0:47 strange 1:15 Hey. 1:25 Hey. 1:29 Happy Monday, good people 1:33 of the internet. 1:57 You and I here all alone. 2:02 Sunday morning here at home. 2:07 Sky's blue and the coffee is strong. 2:10 It's true. 2:15 Then I open my eyes to a dream realized 2:20 in front of me 2:24 and I haven't got a clue when the world 2:27 is happening to me. 2:32 Think I think I'm happy 2:36 like first day summer vacation. Happy 2:40 got to get a little rest and relaxation. 2:43 Happy 2:45 like on Sunday morning singing truth. 2:54 Ooh sister, when you cook that way. 2:58 Sweet distraction rules my day. 3:03 Kitchen table just might break to the 3:06 sound of you and I rocking our bies. 3:09 Yeah, I don't understand why wasn't your 3:13 love a man 100 years ago. 3:19 Fell is going to have to understand. Tip 3:22 the hats to the man. And who scored? 3:27 I think I think I'm happy. Um, do me a 3:30 favor on Tik Tok. Share that thing. 3:32 Share that bad boy 3:35 if you would. 3:45 I just went to try uh Sora 3:49 again, the you know the OpenAI video 3:52 maker thing, you know, remember when we 3:54 I first started using it, the app was 3:56 crashing all the time. I just went to 3:59 use it again. I could not finish a 4:01 prompt before it crashed my browser 4:04 or crashed that tab. 4:08 How How have they not discovered that? 4:11 How 4:13 they don't have a angry Gen Xer in the 4:15 corner going, "What the fuck?" 4:21 Thanks for sharing, Daniel. Very nice. 4:24 Very nice. Very nice. Very nice. 4:32 Your sound is off. Yeah, I noticed my 4:35 thing froze. 4:38 I wonder what I need to do here. 4:41 I wonder if I hop out of the studio and 4:43 hop back in. Oh, yeah. I've got I've got 4:47 some Runaway process. I wonder if Sora 4:50 Oh, you know what? I have a Sora tab 4:52 open. 4:54 I bet. 4:57 Let's see if that's better. 5:00 Should I leave the studio and come back 5:02 in? Let me try that. 5:05 Looks like you're 5:08 sinking back up. Yeah, I think that's 5:11 what that was. 5:14 Very strange, man. 5:17 It's very strange, I tell you. It's very 5:19 weird. Is that better? Is that better? 5:22 Hey, quick question for you. Is this 5:24 better? It's not as bad. This is not as 5:27 bad. If you look at my lips for bad, 5:30 that's they come together on B. The B of 5:33 bad. Do you see bad? Bad. B. Everything 5:37 good? Are we happy? I'd like to watch 5:41 you. I like to watch you on Tik Tok. Not 5:44 so bad. 5:49 Flip the cams. 5:52 Do the black bar. Give the people what 5:54 they want. 5:55 Hello people. Is this what you want? Is 5:58 this what you really want? What you 6:00 really, really want? I wanna I wanna I 6:03 wanna 6:08 if you're going to be my lover. 6:14 This is bad. 6:24 What did I just scroll into 6:26 the madness? It's Monday. It's madness 6:28 Monday. 7:10 Woo! 7:14 Woo! 8:07 Champy is a trained professional. 8:12 Champy, what are you doing? What are you 8:13 doing over there? Huh? 8:28 10,000 words swung around my head. A 8:31 million more in books written beneath my 8:34 bed. 8:39 I wrote over them all when searching in 8:43 the swamps. Still can't find how to hold 8:46 my hand. 8:51 And I know you need me IN THE AH, THAT'S 8:54 GROSS. Need me. Need me in the next room 8:58 over. I am stuck in the paralyzed. 9:06 For months I got myself in ruts. Too 9:09 much time spinning mirrors framed in 9:12 yellow walls. 9:18 Ain't it? Ain't it like most people? I'm 9:21 no different. Like to talk on things we 9:24 don't know about. 9:30 Well, ain't it like most people, I'm no 9:32 different. Like to talk on things we 9:35 don't know about. 9:39 That's This should be the theme for this 9:41 song. We like to We're just like people 9:43 that like to talk on things we don't 9:44 know about. 10:11 That that AI person who's on Tik Tok, is 10:14 that an AI channel? Is that something 10:17 Lord Digital Gods made? 10:20 The one that says AI learning lab 10:22 stream. Share your thoughts on AI. 10:24 Because whenever I talk it it it puts 10:27 prompts in there based on what I said, 10:30 but it it sounds like an AI. Is that an 10:32 AI? It's an AI, right? Anybody know what 10:35 that is? 10:37 Or is AI a person 11:06 Is the Is the AI person a person or is 11:09 it a person? 11:29 I want his piggraph. That's bad. That's 11:32 bad comedy. There's dad comedy. 11:35 The ladies The ladies are launching dad 11:37 comedy in the Tik Tok comments. 11:43 It's bad. That's bad. Dad jokes. Dad 11:47 jokes. Dad jokes from the ladies. It's 11:50 Shit's going off the rails. 11:55 Oh man. Um, 12:00 so there's there's a lot going on. Um, 12:05 there's a lot going on. 12:08 I mean, a lot of tools. There's a lot of 12:10 tools being launched. 13:08 Have you all noticed? Um, 13:11 enough comedy jokes with the guitar. Um, 13:16 have you all noticed 13:19 um Gary Vee is all over Tik Tok talking 13:22 about AI? Do you guys know Gary 13:24 Vaynerchuk, 13:26 the wine guy? Wine library and Vayner 13:30 Media and V friends, that dude. 13:34 Um, 13:36 side hustle Mimi. I know. 13:40 Oh, is this for something else? 13:44 Why is my phone buzzing? 13:48 Um, he's he's all over he's all over Tik 13:50 Tok and um 13:57 whether you whether you like the guy or 13:59 don't like the guy, he's really smart 14:01 with what's coming and he's he gets up 14:05 to speed quickly. He's not talking [ __ ] 14:09 Um 14:13 he's he's very clear about AI. He's very 14:17 clear about AI. He's like, "It's coming. 14:21 It's going to change everything." Like 14:23 people ask him about SEO and he goes, 14:24 "Yeah, SEO is going to be completely 14:27 transformed. AI is going to change 14:28 everything. Get up to speed on AI. Start 14:31 teaching yourself AI. Start getting 14:32 curious with AI." Today's video was 14:34 about the Sora app. He's got a 14:36 screenshot of the Sora app behind him 14:38 and he's like, "Get on. Figure out what 14:41 Sora is. 14:43 Start go make it. Go start making AI 14:45 videos. Start the opportunities now." 14:48 So, this is 14:50 it's a validation of of some of the 14:52 stuff we've been talking about here for 14:54 3 years, right? That this stuff isn't 14:57 going away. And you kind of have two 14:59 choices. You either deal with it or you 15:01 don't. And if you don't deal with it, 15:04 then AI is going to happen to you and 15:06 that's going to really suck. 15:09 Keep a close watch on Africa. He's also 15:12 talking a lot about um about social 15:15 shopping. Buy buy your nugget icemaker 15:18 and Madagascar vanilla beans. Um 15:22 I don't think he's started talking about 15:24 micro dramas yet, but probably soon. 15:27 Um, 15:30 but you know, the fact that he's talking 15:32 about Sora, Sora in particular, speaking 15:36 of which, speaking of shopping. Oh yeah, 15:37 we go look at that. Um, so there's a 15:41 couple of things going on with retail, 15:43 social shopping, 15:45 one we'll go look at, we'll go look at 15:46 the new, um, Open AI today launched, 15:50 um, shopping research just in time for 15:52 Christmas. 15:54 Um, and um, 15:58 when is it? Next Friday is Black Friday. 16:00 Is that right? Black Friday was is 16:03 typically when the retailers 16:06 Well, this Yeah. Oh, yeah. This Friday 16:08 cuz Thanksgiving's Thursday. Yes. Oh, by 16:11 the way, this week we're going to do 16:12 Monday, Tuesday, Wednesday. I'm going to 16:14 take Thursday and Friday off. I'm flying 16:15 to New York Friday night and then I'm 16:19 going to be in New York all next week. 16:21 So, this show next week is going to be 16:25 I'm going to try to do it, but it's 16:27 going to be spotty depending on what's 16:28 going on in New York. I might be 16:29 traveling. I might be 16:32 um Black Friday's all year long this 16:33 year. Yeah. It like historically 16:38 historically you would have Thanksgiving 16:40 dinner and then you would go to the mall 16:42 um when everyone was when everyone in 16:45 the family was there and you would go to 16:46 the mall and you would buy everyone 16:48 their gifts for Christmas. And that was 16:50 when the retailers would make their 16:52 profit for the year, which is why it's 16:54 called Black Friday, right? We're in the 16:56 black. We're not in the red. 16:59 Um, 17:02 I want to come up USA over a $3 router. 17:07 Yeah. Yeah, exactly. They they they had 17:10 they had um just crazy sales and things 17:13 like that. And now because everything's 17:16 online, you've got Black Friday, then 17:17 you've got Cyber Monday, then you've got 17:19 online week or whatever the [ __ ] is 17:21 going on. Anyway, um that's coming up. 17:25 So, if you let's go look at uh 17:30 let's go look at this. 17:33 If you go to chat GPT, you can just go 17:36 there right now. It'll be lovely for 17:39 you. Tik Tok pin 17:42 live from New York. It's AI Learning Lab 17:44 Live. 17:47 Yep, that's what it's gonna be. And I'll 17:51 probably go live during the week. Just 17:55 spotty times. I'll have my I'll have my 17:58 little microphone and my phone on a 18:01 stick. See if I can't get it swiped 18:04 while I'm live. 18:07 Live from Time Square. Yeah, exactly. 18:10 Um, yeah. No, I'm excited. I'm going to 18:13 to we're going to do some uh AI Salon 18:16 2026 strategy. We're going to do some uh 18:19 we're going to do some Sydney stuff. 18:22 You should do a Sydney promo there. 18:24 Yeah, exactly. 18:27 Um okay, 18:32 let's see. 18:34 Black Friday was fun. 18:37 Kind of 400 a.m. shopping. Oh yeah, it 18:39 was 4 a.m. shopping, too. That's right. 18:41 Because this the the Black Friday sales 18:43 would start at midnight. That's right. 18:46 And I assume they still do that [ __ ] 18:47 It's just that there's no center of 18:49 gravity with physical retail anymore. 18:51 Nobody gives a [ __ ] about it. Um 18:55 uhuh. 19:00 Okay. Let's see. So, here we are at uh 19:04 chat GPT. Now, if you click on the plus, 19:07 and if you log in, you should see it. 19:09 But there's now an item when you click 19:11 on the plus called shopping research. 19:14 And so so we can do we can do um let's 19:18 see. I want the best. 19:23 Uh 19:24 let's see. Let's see. What do I want? I 19:27 want the best. We'll do some ridiculous 19:30 countertop thing. Okay. Um 19:33 countertop 19:36 uh pizza oven 19:46 starting shopping research. Can I open 19:48 this? Thinking what range? We'll go up 19:52 to $400 because you can go up to 750. So 19:56 this So it's dynamically generating some 19:58 interface here for us which is kind of 20:00 cool, right? That's pretty slick. So, 20:03 I'll go up to 400 because I'm not a 20:06 cheap bastard, but I'm not spending 20:08 $1,000 on a stupid [ __ ] pizza oven 20:11 for my countertop for something I'm 20:13 never going to use. I'm going to use on 20:15 on frozen pizza. 20:18 Oh, wait. Hang on. I went Did I hit the 20:21 right button? Oh, no. Let's see. What 20:23 style? We want New York pizza. What is 20:25 there? Is there some other kind of style 20:27 other than New York pizza? Why would 20:29 they ask that? electric gas wood pellet. 20:32 We're going to go electric. 20:34 Uh we'll go 18 to 24 in. 20:39 And so look, it it immediately That 20:41 doesn't look like a countertop pizza 20:43 oven, but whatever. 20:46 That one's got a vent. 20:51 So, what's it doing now? Confirming. 20:53 Confirming fit and citations. 20:56 Confirming Chefman review and moving to 20:58 Quezin Art. 21:02 This is a direct response to Gemini. 21:09 You'll get shoppable product listings. 21:10 By the way, if you wondered how 21:12 advertising is going to, you know, work 21:14 in these sites. This is it. 21:22 The un 21:24 o uni kota 12 gas powered. I said I 21:28 wanted electric. 21:35 organizing product details. 21:41 It's a little confusing because 21:46 huh, lots of cool pictures. 21:55 All of the arrows don't work right. 21:59 I think they vibe coded this site. 22:06 I think they vibe coded. Okay. The best 22:09 electric countertop pizza ovens under 22:11 $400. Summary. 22:14 Um, under 400 bucks. Best overall, the 22:17 Chefman 22:21 at Walmart. 22:23 This is the best all-around pick right 22:25 now. New York style performance at a 22:27 budget price. Independent testing by 22:29 Pizza Pros found that the Chefman 22:31 produces excellent New York style 22:34 pizzas. 22:37 Easy to live with. 22:39 Includes a stone and presets. 22:43 The top burner behavior can be finicky. 22:48 Comparison table. Yes, it does 22:50 comparison tables. Can you go buy this 22:53 [ __ ] 22:56 If I click on this, that just takes me 22:58 out to another site, which you can't see 23:01 because it's another tab. 23:08 It should have taken me to Home Depot. 23:09 It did. 23:14 Strong indoor pick. 23:26 Starfighter gifts. 23:30 Oh, Starf Fighter. Starf Fighter giving 23:32 gifts. Thank you, Starf Fighter. 23:34 Appreciate that. Um, so anyway, this is 23:38 this Let's go to Gemini. Uh, producer 23:40 Brandon said Gemini has this going on. 23:43 Gemini.google.com. 23:46 Do I is it a similar sort of thing? Is 23:48 it in here? 23:49 >> It's just native in the tool. You don't 23:52 have to go into any special search. 23:54 >> Okay. 24:07 But is it in here? Can I deep research 24:10 guided learning canvas create images 24:12 create video learn write build 24:16 thinking. All right. So let's say find 24:19 me the best 24:22 nugget 24:24 ice maker 24:26 around 24:28 $300. 24:33 All right, let's see if this goes into 24:34 shopping mode. Scouting ice maker 24:37 options. Assessing pricing and features. 24:42 Oh, am I not sharing this tab? I am, 24:44 right? Am I good? I think I'm good. 24:48 Yeah. 24:50 All right. 24:52 Like you said a long time ago, they're 24:54 all going to be the everything app. 24:56 Every every every frontier model company 24:59 right now is 25:04 the you know what they all want to be 25:07 when they grow up. 25:11 They all want to be AOL. 25:14 Remember when AOL was like the whole 25:16 internet? 25:18 you would dial into AOL and then all the 25:21 radical web developers were outside of 25:23 AOL laughing at all the people on the 25:25 inside and AOL was like, "We've got all 25:28 the people in here and they're giving us 25:29 all the money for like, you know, $10 an 25:32 hour." 25:36 And uh Yeah, but that that's where 25:39 they're all headed. They all want to get 25:41 you sucked into their world and they 25:42 don't want to ever let you leave. I was 25:44 a guide. You've got mail. Exactly. 25:48 That's super old school. It is super old 25:51 school. If you were not around back 25:53 then, um, how you installed software was 25:56 off of physical media. So, AOL was 25:59 famous for giving away CDs and they 26:03 would give them away in grocery stores 26:05 and 711 and there were just AOL CDs 26:09 everywhere. Um, and everyone was like, 26:12 you know, $200 in free, you know, free 26:16 minutes or, you know, 2,000 minutes. 26:19 That Wait, that guy got paid $200 once 26:22 for those five sound files. Oh, yeah. 26:25 Yeah, exactly. Um, I loved hearing the 26:29 daily computer sounding BS. 26:33 But anyway, yeah, that's that's what 26:35 they're that's what they're wanting to 26:37 be. All right, show the thinking. The 26:39 nugget ice maker category. Best overall 26:42 is the Umei counter countertop. 26:45 This has got there's no pictures. 26:49 This is a very Googlel like experience. 26:53 Can you search for something normal? 26:58 A nugget ice maker is the epitome of 27:01 normal. It's all I see on Tik Tok are 27:03 nugget ice makers. 27:06 The pizza one should be good. All right, 27:07 I'll try pizza. Uh, now 27:12 find me a 27:15 an outdoor pizza oven. 27:21 Uh, uh, what is normal? 27:25 I got pictures earlier today on Gemini 27:27 or on chatt source camp because I'm on 27:30 Gemini now. 27:34 You might also be in your story vine. I 27:37 am in story vine. 27:42 Oh, right. The whole thing where um 27:45 where where Google punishes you if you 27:47 pay them if you pay for a business 27:50 account on Google, you get the the 27:51 shittier experience. 27:56 It's amazing. It's amazing that someone 27:59 hasn't figured that one out yet. That 28:01 that uh that's stupid. 28:05 That's what I would call dumb marketing. 28:07 You got a bunch bunch of people where 28:09 their companies have paid for their 28:10 Google access and they're having to 28:13 upsell AI access and then if you're on 28:15 teams, you don't get the good stuff till 28:17 later, if at all. It's just dumb. It's 28:20 dumb. It's dumb, I tell you. Um, 28:25 wait. Critical must know advice. Oh, 28:27 wait. Here's 28:29 Okay. So, in my team account, I cannot 28:33 I do not get pictures on Gemini. Let's 28:36 let's go to my non-team account, my 28:39 individual account, and say, what is the 28:42 best 28:44 um 28:46 outdoor 28:47 pizza oven 28:51 under 28:53 $1,000? 29:07 refining search queries considering 29:10 pizza ovens. 29:13 It was fantastic. The other day I was I 29:16 was on on the internet and I was 29:17 searching on the Google for pizza ovens. 29:22 I couldn't find any and I thought this 29:24 is remarkable. Everyone loves pizza. 29:26 There must be a pizza oven here. And 29:29 then I thought, dr that. Go to Gemini. 29:33 Go to where all the words are. It's 29:35 fantastic. 29:40 At least I have hyperlinks now. I still 29:42 Oh, there's pictures. 29:45 The Gazny Tread pizza oven. 29:51 If you want the absolute best 29:53 performance and build for under $1,000, 29:56 this is it. 29:58 Released recently, the Gaussy Arc XL. 30:01 Tab tab tab. Oh boy. Oh boy. Oh boy. 30:06 Here we go. So, here's here's the 30:08 thinking. I do have pictures 30:11 now. Oh, that one looks nice. 30:14 That one looks pretty. 30:18 That one's crazy. 30:21 399, 639, and 679. 30:30 The Gazny Rock Box built like a tank 30:33 with safe touch com silicone jacket. 30:42 All right. 30:45 I don't quite understand 30:47 how this is all that different from a uh 30:51 Google search, but you know, whatever. 30:57 You should be the chat GPT voice. 31:01 I always, you know, when when uh when 31:04 voices came out on on mapping mapping 31:07 apps, like GPS apps, like the Garmin 31:09 things, I always wanted to do I wanted 31:12 to be the voice of like the the smartass 31:14 guy, like, "Oh, you missed the turn, you 31:16 big fat losser. Why don't you go ahead 31:18 and make a U-turn and see if you can get 31:19 your way to the destination?" Don't 31:21 worry, I'll help you get there. 31:28 It's conversational shopping. You can 31:30 ask follow-up questions. 31:33 Yeah. I I don't know. I don't know. I 31:36 don't know. I don't know. It all seems 31:38 It's It all seems a lot. What What's 31:41 What's uh 31:45 what's got me a little discombobulated 31:49 right now is 31:52 we're in a transition. 31:56 We're in a transition where um 32:01 this this 32:03 I feel like we're exiting the text age. 32:05 I feel like we're exiting the text age. 32:07 We're going to be going to voice and 32:09 then we're going to be going to some 32:10 sort of visual visual something, some 32:14 sort of visual space. Either a 3D space 32:16 you enter or dynamic dynamic software 32:21 generated on the fly for everything. 32:25 And so 32:27 because I think that that's where we're 32:29 going. I'm finding myself being 32:32 intolerant 32:35 of really of really like long text 32:37 blocks. I'm just like, ah, it's [ __ ] 32:40 exhausting. Like, let's let's do 32:41 something fun here. Now that we're in 32:43 Gemini, 32:44 we're going to put on ye old nano 32:46 banana. And then I'm going to show you 32:50 how to do something here. Am I in Am I 32:53 sharing this? 32:56 Yes. 32:59 See? Okay. Let me make this a little 33:01 smaller so it's better over there on the 33:04 on the vertical. There we go. All right. 33:06 Where should we start? So, I'm going to 33:09 go to LinkedIn. 33:13 I'm going to show you how to download 33:14 your profile on LinkedIn. 33:18 And Brandon's going to be like, "But you 33:19 haven't shared your tab yet." I'm be 33:21 like, I know, Brandon. I know. I'm very 33:23 well aware of that. So, what you're 33:25 going to do is you're going to click on 33:26 your little circle here. You're going to 33:27 say view profile. 33:30 And then 33:32 under 33:34 all these buttons down here, you're 33:36 going to go to resources. Okay. 33:39 Resources. 33:40 And then you've got save to PDF. 33:44 Why? 33:47 What happened to my 33:52 the vertical the vertical stream just 33:54 went weird. 33:57 Oh, sorry. That was me. Okay. 34:00 Producer Brandon's over screwing up the 34:03 live stream. Listen, if if if your 34:06 experience tonight is that the screens 34:08 are all wonky, that's not me. We have a 34:12 professional for that. 34:17 Okay, you're going to go to resources. 34:19 You're going to go save PDF. Save to 34:21 PDF. And then it's going to download 34:23 your profile. Okay. 34:26 So, now we've got that. Now, we're going 34:28 to go back to the Google Gemini. And 34:30 we're going to add in we're going to 34:32 upload. Oh, I got to share my taboo. 34:38 And I still can't get that wicked song 34:40 out of my head for good. It's it's it's 34:43 a real problem. 34:47 It's if any if anyone if any anyone out 34:50 there with ADHD has experience getting a 34:53 song out of your head that's been in 34:55 there for a week, feel free to let me 34:57 know. It's a lovely song. I can't sing 35:00 it. I don't know more than four words of 35:02 it and it will not leave my head. 35:06 I I was just going to tell you, Kyle, 35:07 that Andy uh from the AI Salon made some 35:11 amazing lower third graphics for us so 35:14 it wouldn't overwrite your face when I 35:16 put it up on screen. Unfortunately, the 35:19 vertical stabilizer just completely 35:22 breaks whenever I put it up, but you can 35:24 go to the community. Salon.ai if you 35:26 want to follow along. 35:28 >> Okay. Yeah, great. Okay, good. That's 35:29 perfect. And I have I have a way uh 35:32 offline, Brandon, we can fix that. But I 35:34 know how to fix that. I think um we do 35:36 it as a you do it as a full 1080 overlay 35:39 and then you do a different overlay for 35:41 for vertical. Okay. 35:44 Um a week I wish I've been humming the 35:47 same song for well over a year. I've 35:50 heard it said 35:54 that people come into your life for a 35:57 reason. Okay. Um Okay. So I'm going to 36:00 upload I'm going to upload. Let's see my 36:04 profile. 36:06 So, there's my So, I've got my um 36:08 LinkedIn profile here. And then I'm 36:11 going to say um based on my LinkedIn 36:17 profile, 36:18 I want you 36:21 to create 36:25 a career map 36:29 that 36:31 um highlights 36:35 highlights. 36:39 Hi 36:41 lights. 36:43 the 36:45 um 36:48 major eras of my career 36:53 with um 36:58 detail 36:59 um 37:01 and commentary 37:06 in a 3D 37:10 photo 37:13 realistic 37:17 Lego 37:20 theme 37:22 if you've not done this before. So, so 37:24 what I'm doing and I got to turn on Nano 37:27 Banana. I'm going to turn on Nano 37:28 Banana. So, to recap, go to LinkedIn, go 37:32 to your profile, click on the resources 37:34 button, say download as PDF. That part's 37:37 done. Go to gemini.google.com. 37:39 google.com, 37:42 upload your LinkedIn profile, click on 37:45 nanobanana, and then write a write a 37:47 prompt that basically says, "Use my 37:49 LinkedIn profile as the basis for a 37:51 career map in whatever theme. It could 37:55 be in pulp fiction theme. It could be in 37:57 Godfather theme. It could be in ' 70s 38:01 car poster theme. It doesn't matter. You 38:03 come up with the theme and then you push 38:06 make it." So, I'm going to push make it, 38:07 and then we're going to watch it do 38:09 this. 38:11 Um, loading Nano Banana Pro. 38:14 This is the new, you know, it's funny. 38:16 Um, Nano Banana. 38:22 So, 38:24 so Nano Banana was the code name 38:28 of Image Gen 3 or whatever it was, 2.52, 38:32 whatever it was, Google's image 38:34 generating stuff. Okay. Okay, the career 38:36 map is rendered in a Okay, it didn't 38:38 render it. I I've been getting a lot of 38:40 this uh a lot of this. 38:44 It's showing me I think it's showing me 38:48 the prompt that it's making. Oh, it's 38:50 Oh, it says show thinking. No, 38:54 it's not rendering the image. This is 38:56 just [ __ ] weird. I'm going to say, 38:58 "Okay, now make the image." And I'm 39:02 going to scream it because I've got Nano 39:04 Banana selected. It loaded Nano Banana 39:06 Pro and then it explained to me the 39:09 image that it's going to make. 39:11 Okay, now make the flipping 39:17 image. 39:22 Oh my god. 39:27 Uh, 39:28 okay. We'll see if it's it's doing AI 39:30 abuse. Yeah, but if Listen, 39:34 the the AI provoked me. The AI provoked 39:38 me into abusing it. This is this is AI 39:42 road rage. 39:44 This is AI prompt rage. 39:49 Okay. Um, Tik Tok question. I missed how 39:52 to save the PDF. Can someone help? 39:55 LinkedIn profile. Click on resources. 39:59 It's buried under resources. I don't 40:01 know why it's buried under resources, 40:02 but it's buried under resources. 40:05 Okay. So, let's see. Digital pioneers, 40:09 urban desires, wack.org. 40:13 What's that say? 2009 bubble burst. 40:16 Where's agency.com? Oh, agency.com is 40:19 the big building. 40:20 Oh, this is cool. Um, but say, okay, so 40:23 that's that's kind of cool, but let's 40:25 say, okay, um, I want um 40:30 it to be uh many more 40:35 Lego blocks 40:38 and much 40:41 more creative 40:44 and more mini figs 40:48 and more details and commentary. 40:55 Okay. 40:57 Agency.com breaks the world. Yeah, 41:00 exactly. No, it was the com bubble burst 41:03 that broke the world, I think, is how 41:05 they had that labeled. Agency.com was 41:07 just the tall building. 41:10 Okay, here's a photorealistic thing. Now 41:12 it's describing it again. It just 41:14 [ __ ] did it again. 41:16 You got to be kidding me. 41:21 What the [ __ ] 41:25 Oh, here's the thing. If you're new to 41:27 this AI stuff, so so like couple of 41:31 things. If you're new to this AI stuff, 41:33 welcome to the AI learning lab. I'm Kyle 41:35 Shannon. Uh, I'm in theory an expert on 41:38 this. I have no qualifications, but in 41:40 theory, I know what I'm doing. And when 41:43 I'm here working on this AI stuff and I 41:46 say I I select an option to make an 41:49 image and then I ask it to make an image 41:53 and then it describes an image. 41:56 That's just called shitty software. 41:59 It's not your fault if their software is 42:03 shitty. So if you're if you're confused 42:06 about AI and you're like, I thought it 42:08 was supposed to be so genius. 42:11 Hey, I tried that AI and it was it it 42:14 felt kind of like a dum dum, you know? 42:16 It's like I said, could you give me a 42:18 picture? And it was like, sure, here's a 42:19 picture. And then it explained the 42:21 picture. It's like it's like talking 42:24 about dancing, if you know what I mean. 42:28 It's just crazy. 42:34 I'm exhausted. I didn't I HONEST TO GOD 42:39 THAT YOU SHOULD GO TO MY [ __ ] 42:40 TWITTER. GO TO THE TWITTER. The X. They 42:42 call it X now. You can't call it Twitter 42:44 anymore because they killed the little 42:46 [ __ ] bird, right? It's just an X, 42:48 man. Bird gone. It's not Twitter 42:50 anymore. 42:52 Anyway, go there. Look at Look at my 42:54 account. Look at my latest post. 42:56 It's just it's just it's just me [ __ ] 42:59 AI raging at Sam Alman and Greg Brockman 43:02 saying, "Fix your [ __ ] Sorosite. 43:05 It's been broken since they launched it. 43:10 Nano Banana, the world's greatest image 43:13 generation in the history of planets, 43:16 in the history of universes, nothing's 43:18 been there like this, is now giving us 43:21 explanations of pictures. 43:29 You got to be [ __ ] kidding me. 43:35 Okay. Um, Kyle, can you please move the 43:39 circle where you appear? 43:42 I'm I'm annoying people with my 43:44 presence. Wait. Yes, we can fix that. 43:46 There you go. Except on on the uh on the 43:49 vertical thing. I'm a teeny little thing 43:51 at the bottom. That's okay. We can we 43:53 can edit these uh at some point there, 43:55 Brandon. We can fix them. But there you 43:57 go. Okay. Um, 44:00 let me let me see if I can get this to 44:02 actually uh I'm going to say uh uh 44:06 excuse me uh Mr. 44:11 banana. 44:13 But could I be so bothersome 44:20 to ask you to actually 44:24 generate an image 44:27 rather 44:30 than 44:32 describe it 44:35 with 44:37 many words. 44:42 Um, I did 44:45 ASI art 44:47 in the 70s 44:50 in the 1970s 44:52 and it was less frustrating 44:57 than this. 45:05 Listen, AI is going to change the world. 45:07 And right now, it's a big bucket of 45:09 snot. 45:12 Let's go ahead and tag that as as one of 45:15 the clips that we can share share on the 45:17 internet. AI learning lab. The AI is 45:20 going to be big, but right now it's a 45:21 big bucket of snot. 45:27 And 45:30 you can't spell raging without AI. Oh my 45:34 god. Tik Tok pin. Um, best PSA of the 45:38 work. It works until it doesn't exactly. 45:42 Um, oh, it it um it just ignore it just 45:48 ignored my request. Let's try again. 45:52 Oh my god, you broke it. Uh I I actually 45:55 have heard uh I heard today that a lot 46:00 of people are having problems with Nano 46:02 Banana, 46:04 which by the way I was explaining about 46:05 Nano Banana before. 46:08 Also, if you're new here, something went 46:10 wrong. Yeah. No [ __ ] Um apparently 46:13 their servers are melting down. Remember 46:15 when Pate used to come in here and say, 46:17 "Uh yeah, I'm I'm working on um uh 46:21 making the TPUs more efficient." This is 46:23 why um 46:26 because if they make an actually good 46:29 product, people are going to use it. And 46:30 if they use it, it's going to it's going 46:31 to melt down their servers. All right. 46:33 So, this isn't going to make this for a 46:34 while. Um 46:37 but I want to go back to the nano banana 46:38 thing for a second. 46:42 So, this was called imagine two or three 46:44 or whatever it was. 46:47 Its code name was Nano Banana. 46:50 And the way these frontier model 46:51 companies work is about a week or two 46:55 before they're going to launch 46:56 something, they drop 46:59 the new model on the benchmark 47:03 comparison websites, like the the the 47:06 battle sites, whatever they're called, 47:07 the, you know, where they compare 47:10 new models and and they usually launch 47:12 them with their code name. And so they 47:15 launched Nano Banana, and everyone was 47:17 like, "Oh, this Nano Banana thing's 47:18 amazing." And then the rumor was it was 47:20 a Google thing and 47:23 just everyone started referring to it as 47:25 nano banana and Google smartly 47:28 adopted it and that's why there's now a 47:30 banana that's part of the the little 47:32 logo and it's still called nano banana. 47:35 Um, 47:39 it is a significant enough tool now 47:45 and so many people have not played with 47:48 AI that I think that nano banana is 47:52 actually not a good name at this point. 47:53 I feel like it was really good for the 47:55 first one. Um, 47:59 I if you've got a visual reasoning 48:02 engine, which is what this is, 48:04 um, 48:06 and 48:08 someone has never heard of AI, they've 48:10 never played with AI, and you're like, 48:11 Google's got this new amazing thing, and 48:13 it's going to revolutionize how we 48:16 process information and how we teach, 48:18 and it's gonna it's going to 48:20 revolutionize the world. What's it 48:21 called? Nano banana. 48:24 Like people are going to be like, "What 48:27 the [ __ ] are you? Who are you people? 48:30 You [ __ ] weirdos." So anyway, so I 48:32 think it's I think it's a bad name long 48:34 term, but you know, but but I ain't 48:37 there. I ain't there from the company 48:40 Google. Yeah, I guess. But Google 48:42 Google's one of those words where it's 48:44 it's short. It's short and weird enough. 48:47 I guess Nano Banana's weird enough, but 48:50 I don't know. I don't know. All right, 48:52 let's see if it Let's see if it'll make 48:53 something again. 49:00 I know. That's what I'm trying to get to 49:01 there, Brandon. That's why I wanted a 49:03 more sophisticated 49:05 nano mango, nano pineapple. 49:10 Um, no, this is just broken. Okay, so 49:13 let's let's grab this. Let's go. I'm 49:15 going to download the high-res version 49:17 of this. 49:27 So, what you're looking at here, if 49:28 you're new, if you've just jumped in, is 49:31 um 49:33 this is 49:37 Google's um 49:41 new image gen tool and I uploaded my 49:44 LinkedIn profile and I had it build a 49:46 career map as as Legos. 49:49 And so it's got Urban Desires, the 49:51 online magazine I made. It's got 49:53 whack.org, which is like the AI salon 49:55 but for worldwide web developers. And 49:57 then it's got agency.com. Then there was 49:58 the.com bubble burst. Then I had 50:01 invention asylum. What's that? 50:03 Oliverstone.com was a website that I 50:05 built for Oliver Stone. Um, Epistoic 50:08 Studios, which was the precursor to 50:10 Storyvine. Oh, it's got Oliverstone.com 50:12 in there twice. Then it's got Storyvine, 50:15 founded in 2012. That's actually 50:17 correct. 50:18 Then it's got the story engine. Oh, 50:20 that's the that's how Storyvine does 50:22 what it does. And I got AI salon over 50:24 here. And I've got Everyday AI. And I'm 50:27 an in AI instigator. And there's the 50:29 little community. This is all the 50:30 irregulars. Look, all the irregulars 50:32 made it. Do you see the Lego guy holding 50:34 the acting mask lower left? Oh yeah. 50:38 Look at that. That's cool. This little 50:40 dude right here is holding a little 50:42 acting mask. That's cool. Okay. Um, but 50:45 what you can do now, 50:49 now that I downloaded the high-res 50:50 version of it, I'm going to turn off 50:51 this. We're going to start a new chat 50:54 and I'm going to turn on 50:56 create videos 50:58 and I'm going to upload that Lego thing. 51:03 Let's see here. Right. 51:06 And what I have noticed is that the 51:08 preview that it makes you is um 51:16 is pretty bad. Like the the typography 51:18 is pretty bad, but when you download it, 51:20 it fixes everything. Okay. So, we're 51:22 going to upload that Tik Tok question. 51:26 When will AI start curing illnesses? 51:28 Well, they're they're working on it 51:29 right now. So, there's there's a 51:31 company, I forget what they're called. 51:33 It's a pharma company begins with the 51:35 letter E. Um, 51:38 and they have figured out some 51:39 genetically modified thing that makes 51:42 your tea cells not attack 51:47 the cells that produce insulin. I forget 51:49 which cells those are, but basically in 51:52 type 1 diabetics, your your immune 51:54 system attacks the cells that produce 51:57 insulin. And that's why you know it's 51:59 it's it's it's a lifelong um 52:04 thing that you have to manage. Um there 52:06 are now 52:09 eight or nine people who are cured of 52:12 type 1 diabetes 52:14 from that trial. 52:17 um Neurolink um the brain implant thing. 52:20 There are now 10 or 11 Neurolink people 52:23 who are all of them are quadriplegic, 52:26 right? Neck neck down um paralyzed that 52:30 are playing video games using computers, 52:33 operating robotic arms. So that's 52:35 coming. Um 52:38 deep. Hang on. Do you need something? 52:43 >> Yes. Thank you. Um 52:47 um Google DeepMind Alphafold 2 or three 52:50 whichever the latest AlphaFold is um is 52:55 going to completely revolutionize um how 52:58 we discover new proteins. Um, it used to 53:01 take a single researcher, a single PhD 53:05 researcher, one year to discover one 53:09 protein's folding structure. 53:12 And Alphafold 3, I think it was, 53:15 whatever's the the most recent one, 53:19 did 400,000 of them 53:22 like in a in a year. Like they're just 53:24 done. 53:25 Um, and then the next one they came out 53:27 with not only talks about how proteins 53:29 fold, but how they interact or how they 53:31 how they interact within the body within 53:32 biology or some some [ __ ] like that. So, 53:35 a lot of that stuff's coming. Um, and 53:37 it's it's it's coming probably faster 53:40 than we know because we're not going to 53:42 see the results of it for, you know, for 53:44 a year or two until after they actually 53:48 fix [ __ ] 53:50 Um, talking about AlphaFold, I love 53:52 that. Yeah, Alpha Fold is pretty 53:54 amazing. Can you generate the video 53:55 while you rant, please? I could. I 53:57 could. Okay, let's say um 54:01 um make um 54:04 all of the characters 54:09 dance as 54:12 the camera moves around. and an 54:16 announcer. 54:20 Um, 54:22 says that this is 54:28 one wild and wacky career 54:33 journey. Oh, now you know what else I'm 54:35 going to upload? I'm going to upload the 54:36 PDF that's got my LinkedIn profile on 54:40 it. 54:41 Um, use the PDF 54:45 for details. 54:50 Thank you, Bubba. 54:57 All right. Uh, use the PDF for details. 54:59 All right. Let's see. Let's Let's uh 55:02 Here we go. We're going to turn this 55:03 into a video. All right. Fantastic. 55:06 Fantastic. 55:08 Uh, incilico clinical trials is what 55:11 will unlock everything. Yeah. Oh, 55:14 incilico I I didn't know that was the 55:16 term for it, but basically Yeah. What's 55:18 what's what's happening next with with 55:21 the medical research stuff. So So okay. 55:25 So what's happening today is that you 55:28 get something like Alphafold, right? and 55:30 and it it predicts how these things are 55:32 gonna interact and then you basically 55:36 hand it to people in a lab to confirm 55:38 the findings, right? And it's and there 55:40 it like it's like 95% or 90% correct, 55:43 right? It's like it's it's ridiculously 55:46 high. Um but it but it still requires 55:49 people in a lab to do it. The next step 55:52 is going to be where the AI can not only 55:56 make the prediction, but it can then 55:58 design the lab 56:01 um the lab experiments to confirm it. 56:04 And then the step beyond that and and 56:07 use robots to go do that is is one. They 56:09 do it physically but but in an automated 56:12 way. And the one beyond that is you've 56:14 got a simulation of a lab where it it 56:17 basically simulates the world and then 56:19 they say, "Here's the hypothesis. Here's 56:21 the experiment. I'm going to test the 56:23 experiment in silica in in in the 56:25 computer and confirm it and then we're 56:28 just going to go make the shit." So 56:30 yeah, so stuff is coming. What about 56:33 Alpha Fold server? Um I don't know about 56:35 it. Autolabs. Yeah. Exactly. 56:38 Exactly. So So like this shit's coming. 56:40 If you're like, if you're like, you 56:42 know, you AI people, you've been talking 56:44 about, you know, it curing diseases for 56:46 like three or four years now. Where is 56:48 it? 56:50 It's coming. It's coming, man. You got 56:53 to calm down. 56:57 Is it done? Is it done? No, it's not 56:59 done. Oh, wait. Maybe it's done. Okay, 57:02 here we go, people. Here we go. Here we 57:05 go. We got a video. 57:08 Let me download the video. 57:11 Downloading video. Oh, by the way, I 57:14 spent 57:16 Mind your tabs. I know. Well, I've got 57:18 to share differently because I 57:19 downloaded the video. So, hang on a sec. 57:23 I spent 57:27 14 hours on Saturday from 10 a.m. until 57:31 midnight working on a video. So, I made 57:34 a video for a client 57:36 in uh 57:40 in Google V3. So, so I went to 57:43 flow.google.com. It's got nano banana 57:46 builtin. 57:47 So, I just would make images. I would 57:49 then animate those images into video. I 57:52 just threw them into iMovie and I just 57:54 14 hours knocked this thing out. It's 57:56 pretty remarkable. 57:58 Okay, let me see that. All 58:02 right. Then we go here. Then we hat. 58:04 Then we hit. Then we get here. 58:08 Beautiful. Beautiful. Beautiful people. 58:11 Beautiful. Look at this. I got a VO 58:14 watermark. Yeah. Hey. Hey Google. Like, 58:18 okay. Open AI's Sora website doesn't 58:22 work, but Google, I pay you $200 a 58:26 [ __ ] month. 58:28 And I still get a watermark on my video. 58:32 Really? 58:34 All right, let's see how bad this is. 58:36 You ready? Here we go. 58:39 This is one wild and wacky career 58:42 journey. 58:51 My Google speaker is now playing Britney 58:54 Spears. Thank you. 59:00 Oh, that's pretty funny. It didn't 59:03 really say anything about my career, did 59:05 it? 59:07 >> This is one wild and wacky career 59:10 journey. 59:16 >> And I assume I could Could I Could I 59:18 extend it? Can't you extend it? I think 59:20 you can. Download video. Share video. 59:26 No, I guess not. I guess I have to be 59:27 over in uh I have to be over in in the 59:30 video maker. Um let's see. Um 59:36 have the announcer 59:42 describe the phases 59:45 of 59:47 the journey. 59:53 Um, while 59:56 the mini figs dance, 1:00:06 many platforms are 1:00:10 fire sailing there. 1:00:17 Yeah. 1:00:20 If there are things that you are excited 1:00:22 to use, but you can't afford 1:00:23 subscriptions for them, pay attention to 1:00:26 the Black Friday deals. There's a lot of 1:00:29 a lot of the companies that have got 1:00:31 platforms out there that you might want 1:00:32 to play with are doing really good deals 1:00:34 for Black Friday. So, pay attention to 1:00:36 that this week. 1:00:38 Um, I would also if if you get a 1:00:41 screaming good deal for an annual 1:00:43 subscription, feel free to pick it up. 1:00:44 But in general, don't do annual 1:00:46 subscriptions unless it's super cheap. 1:00:52 Um, 1:00:55 turns out that um 1:00:59 adding a feature to your product called 1:01:02 Cameo 1:01:04 um is going to is going to get you sued 1:01:07 if there's a company out there called 1:01:09 Cameo that essentially does the exact 1:01:11 same thing. 1:01:15 So, OpenAI is getting sued by the 1:01:18 company behind Cameo. Cameo, I guess, is 1:01:20 the name of the company. Um, that's 1:01:22 pretty funny. 1:01:28 Yeah. See, the the AI the AI guy on Tik 1:01:31 Tok just says, "AI's medical 1:01:33 breakthroughs. Ask about AlphaFold." 1:01:36 Who built this robot that that comes to 1:01:38 my lives? That's what I want to know. 1:01:42 What? What just happened? 1:01:58 I didn't ground it to ground it to or 1:02:01 ground it to the Lego video. Yeah, that 1:02:03 was bad. Okay. 1:02:36 Thank you for the gifts on uh on Tik 1:02:38 Tok, Hale Lima. I appreciate that. any 1:02:40 anyone who's given me gifts on t Tik Tok 1:02:42 because I'm not looking primarily at it. 1:02:44 I sometimes don't see them. So, producer 1:02:47 Brandon's been really good about letting 1:02:48 me know that that's happening. So, thank 1:02:50 you. If anyone has given me gifts and I 1:02:52 didn't acknowledge you, my apologies. 1:02:56 Um, okay. Let's see. Um, 1:03:02 um, 1:03:06 let's just see what this does. 1:03:10 It's making the videos pretty fast. 1:03:19 So, one place while that's doing that, 1:03:22 I'm generating the video. Okay. While 1:03:24 that's doing that, 1:03:27 um, I want you to go to AI festivus.com. 1:03:31 Okay. AI festivus. AIFest of us. AI for 1:03:35 the rest of us. Go there. Go there right 1:03:37 now. 1:03:39 And what I'm going to want you to do is 1:03:40 scroll all the way to the bottom. You 1:03:42 can read all this lovely stuff. There's 1:03:44 lovely stuff in here. There's there's 1:03:47 sponsors. 1:03:48 There's there's speakers. Ann Murphy, 1:03:51 myself, we got all sorts of other 1:03:53 speakers coming. But there's a little 1:03:55 registration thing at the bottom. Okay. 1:03:59 Go register. 1:04:01 You're like, "Oh, what is Festivus? Is 1:04:03 it some sort of party?" No, it's 24 1:04:06 hours of probably more than 30 people 1:04:10 volunteering their time to come teach 1:04:12 you about AI. 1:04:14 It's a two-day 1:04:16 session where we go 9:00 a.m. to 9:00 1:04:19 p.m. Pacific time, noon to midnight, 1:04:23 Friday and Saturday, the December 26th 1:04:25 and 27th. It is a remarkable blast of an 1:04:29 event. It's It's a hoot. It's a hoot 1:04:32 nanny. I don't even know what a hoot 1:04:34 nanny is, but it's like that but cooler. 1:04:38 It's like a cool hoot nanny. 1:04:41 Why would you not register for this? Go 1:04:43 right now. And you know what? If you're 1:04:45 just sitting there registering for 1:04:46 yourself, you selfish ninny. Go share 1:04:50 this with your friends. 1:04:52 You know, you know who should come to 1:04:54 this? All those annoying friends of 1:04:56 yours that are like, "Sally, Sally, hey, 1:04:58 listen. Could we just Hey, just a quick 1:05:01 This is like I love you so much. I love 1:05:03 you so much. So, you know that, right? 1:05:05 And this is like not a judgy kind of 1:05:06 judgmental kind of thing. Um I was 1:05:09 wondering just for the dinner as we have 1:05:11 dinner and you know drinks and cocktails 1:05:13 and get a little little tipsy already. 1:05:15 Anyway, um if you could not um talk 1:05:19 about the AI stuff would just cuz some 1:05:21 of the people that are coming a little 1:05:23 sensitive about it you send it to them 1:05:27 those annoying people who don't want to 1:05:29 hear your crap about AI 1:05:32 that they should be coming to this 1:05:35 because at the end of 36 hours we will 1:05:38 have brainwashed them. I mean, they will 1:05:40 have learned remarkable things that make 1:05:43 them realize that maybe they shouldn't 1:05:45 have THEIR HEAD IN THE [ __ ] SAND. 1:05:48 OKAY? 1:05:50 Have I made my point? You ask for 1:05:53 meltdown Mondays, you're just sitting 1:05:56 there registering for yourself, like 1:05:57 hoarding the information. 1:06:00 I'm going to go learn about AI. This is 1:06:02 going to be awesome. Now, send it to 1:06:04 your friends. 1:06:06 Good lord. 1:06:10 At least he's honest. 1:06:14 That was about the brainwashing comment. 1:06:19 You're welcome. You got you got to get 1:06:22 you got to give the haters some love, 1:06:24 you know. You gota you got to tap into 1:06:27 that paranoia every once in a while. 1:06:31 Oh man. Okay. 1:06:35 I was so into my writing, I nearly 1:06:37 forgot about the learning lab. Well, 1:06:38 that's good. Glad you're into your 1:06:40 writing. Okay, we have a new video. New 1:06:42 video. Let's download this bad boy. I'm 1:06:45 still sharing my whole screen, right? 1:06:47 Yeah. 1:06:55 >> Yeah. There we go. Okay. 1:07:08 The early days of the digital pioneers 1:07:10 through the invention workshop powering 1:07:12 up the story. We arrive at the AI 1:07:15 frontier. 1:07:16 >> Nice. It just materializes mini figs. 1:07:20 >> Early days of the digital pioneers 1:07:22 through the invention workshop. 1:07:25 Where do they come in at the AI? 1:07:27 >> Oh, they were all hiding. That's kind of 1:07:28 cool. They all just sort of emerge out 1:07:30 of like little trap doors. 1:07:37 >> We arrive at the AI frontier. 1:07:40 >> Huh, 1:07:42 that's kind of fun. 1:07:46 >> Oh, I know what I'm going to do. I have 1:07:48 an idea. 1:07:50 Oh, do you, Kyle? No, now you've got an 1:07:53 idea. Maybe you could have given us that 1:07:54 earlier, huh? All right, let's see. 1:07:57 We're going to upload files. 1:08:01 Wait, what was my idea? 1:08:04 I just forgot my idea. Oh, no, I didn't. 1:08:07 Okay, 1:08:09 we're going to go boom and 1:08:13 boom. Okay. So, we're going to say, I 1:08:17 want you to talk about Kyle Shannon's 1:08:24 um 1:08:25 career 1:08:28 that spans 1:08:31 decades 1:08:33 at the intersection 1:08:38 of new technology, 1:08:43 storytelling, 1:08:45 and 1:08:47 radical selfexpression. 1:08:51 Um, 1:08:53 do uh let's see 1:08:56 feature 1:09:00 this 1:09:03 Lego set 1:09:06 as if this were a 1990s 1:09:12 toy commercial. 1:09:15 Make it wild. 1:09:20 All right, here we go. Here we go, good 1:09:22 people. 1:09:24 Claude Opus 4.5. Yeah, by the way, 1:09:26 Claude Opus 4.5 is out there if you 1:09:28 don't know uh what that means. Doesn't 1:09:32 really matter, but we just got Gemini 3, 1:09:34 which is this big remarkable thing. Um, 1:09:37 Claude was sort of the state-of-the-art 1:09:39 before that for coding certainly and now 1:09:42 it's at 4.5 and that is out and it's on 1:09:45 the um the Claude app 1:09:49 on your on your favorite device. 1:09:52 Is this is this doing its thing? Yes. 1:09:55 Um, 1:09:57 and we we might go play with that. The 1:09:59 the one thing that I find weird, you can 1:10:04 generate two more videos today. 1:10:09 I can't generate the video. 1:10:12 Why not? 1:10:20 I want you to talk about 1:10:24 my career. 1:10:29 I am Kyle Shannon. I think I got a a uh 1:10:34 what you call it? A little safety. I 1:10:36 just ran into a little safety guard rail 1:10:38 there, if you know what I mean. 1:10:42 All right, let's see this. 1:10:45 Let's see this. Fantastic. 1:10:48 Fantastic. Fantastic. Dude, try flow. 1:10:51 Yeah, I know. I I'll flip over to flow. 1:10:54 I'll flip over to flow. Gemini is kind 1:10:56 of useless for this. I I used Flow all 1:10:59 weekend. All weekend. And uh although I 1:11:02 didn't use I just used it as a as a clip 1:11:05 generator. I didn't use any of the 1:11:06 extension stuff because I didn't need 1:11:08 anything like that. I didn't need to 1:11:10 build it in there. But I should probably 1:11:12 do that. It's probably not a bad idea to 1:11:14 actually build a project in Flow and see 1:11:16 how bad it is or good. Let's see. 1:11:24 D. 1:11:29 Oh my god. But Flow's not going to let 1:11:32 me. Let me try that. flow.g Google. 1:11:36 Um, Flow's not going to let me 1:11:40 upload the the script, is it? New 1:11:44 project 1:11:48 frames to video plus. 1:11:52 Yeah, it's not going to. 1:11:55 Well, that's frustrating. 1:12:01 Um, 1:12:03 make 1:12:06 let's see. Make a '9s 1:12:11 commercial 1:12:13 out of this. 1:12:16 a '90s toy commercial 1:12:20 out of this 1:12:22 um 1:12:25 Lego career map 1:12:29 for 1:12:33 uh AI instigator 1:12:38 Kyle Shannon. 1:12:44 highlight. 1:12:46 Let's just let's just see what that does 1:12:48 because it might not even make it. 1:12:52 Oh, and I'm using I'm using the the 1:12:54 Google fast. So, let me try it also with 1:12:57 Google quality. And I'll just do one 1:12:59 output with Google quality. 1:13:04 I can reuse the prompt and the image. 1:13:07 But now I'm doing Google quality 1:13:11 with one output. Boom. Okay. 1:13:15 All right, people. Fantastic. Fant. 1:13:18 We're making videos here, everyone. 1:13:21 The prompt might violate our policies 1:13:24 about generating prominent people. Oh, 1:13:26 Lord. Google thinks I'm a prominent 1:13:29 people. Well, that's very flattering. 1:13:33 You can't just make a video of prominent 1:13:36 people. That's [ __ ] though. You can 1:13:50 I can't I just 1:14:00 career map from 1:14:03 an AI instigator. 1:14:07 You can't make a video of a prominent 1:14:10 person. I'm not all that prominent. You 1:14:13 know what I'm saying? Does anybody know 1:14:15 what I'm saying? 1:14:18 Why is he talking like yoga Godfrey? 1:14:24 Damn, I hated that guy. 1:14:29 So why am I acting like him? 1:14:34 Gilbert Godfrey. Yeah. 1:14:38 Oh, 1:14:44 Hale Lima became the number 16 fan in 1:14:46 the fan club. Hey, did you people on Tik 1:14:48 Tok knew that I had a fan club on the 1:14:50 Tik Tok? Well, you should be joining it. 1:14:55 Oh, he was he was the afflac duck. 1:15:00 All right, it looks like it's making the 1:15:01 video now that I took my name out now. 1:15:04 Oh, you know what? probably did. It 1:15:06 probably thought I was trying to make a 1:15:08 video of Kyle Shanahan, who's the coach 1:15:10 of the San Francisco 49ers. 1:15:13 Hey, Kyle, I put a Christmas Sora in the 1:15:16 irregulars that I think is hilarious. 1:15:19 Okay, let's go look at that. Oh, wait. 1:15:20 Here's our video. All right, let's see. 1:15:23 Let's see what we get here, people. 1:15:25 Fantastic. Look at that. It looks 1:15:27 lovely. I wonder if you're going to be 1:15:29 able to hear this. Maybe not. Tabs, 1:15:32 tabs, tabs. No, I'm not I'm not sharing. 1:15:36 Well, let's see. 1:15:47 That's kind of fun. No audio. Yeah. 1:15:49 Okay. Hang on. Hold people. Hold, 1:15:52 please. Well, no. I can do it this way. 1:15:54 I'll just download it. 1:15:56 Oh, I'm gonna upscale it to 1080p. Yes, 1:15:59 I am. Yes, I is. 1:16:02 All right. Hey, Kyle. I put a Christmas 1:16:05 Sora. Okay. Sound worked. Sound worked 1:16:07 here, but it didn't work on YouTube. 1:16:11 That's awesome. Yeah. So, listen. Like, 1:16:14 okay. So, so let me let me let me try to 1:16:17 get some coherent thought together here. 1:16:20 You're like, well, there hasn't been a 1:16:21 coherent thought all evening. Why would 1:16:23 it change now? 1:16:25 Yeah, it's not funny. This is my brain 1:16:27 we're talking about. 1:16:30 You think it's all fun and games up 1:16:32 here? This is [ __ ] crazy straw. 1:16:36 Okay, let me try to put some thoughts 1:16:39 together here. 1:16:42 Um, 1:16:44 here are the things swirling around in 1:16:46 my head right now. The fact that Gary 1:16:48 Vee has just kind of shown up on TikTok 1:16:51 talking about AI for the past month or 1:16:53 so, 1:16:54 like non-stop, right? He goes he goes 1:16:57 through his his different phases. 1:17:00 Um 1:17:02 it's all about AI right now and he's 1:17:04 starting to talk about you better figure 1:17:06 out Sora, right? You better figure out 1:17:08 this cameo thing and how to make 1:17:10 commercials and how to get your videos 1:17:11 trending and how to create content this 1:17:13 way and how to generate brands and 1:17:16 characters and 1:17:19 content that is not slop. How do you 1:17:22 create content in in a world in a world 1:17:26 in a world where everyone can create 1:17:29 content? How do you rise above the 1:17:31 noise? Well, this is no different than 1:17:33 in the 2010s or 20 when was it 2005 1:17:40 YouTube came out and Gary Vee was was 1:17:43 there probably in 2006 going you got to 1:17:46 learn how to make YouTube videos. You 1:17:48 got to put yourself out there. And 1:17:49 people like you're who's going to do 1:17:51 that? And he was saying you can build a 1:17:53 brand, you can make $100,000. People 1:17:55 made fun of him for saying that people 1:17:57 are going to make $100,000 making 1:17:59 YouTube content. Tik Tok did. It's been 1:18:03 three years. No conference yet. 1:18:06 Oh, no coherence yet. Oh, for me? Yeah. 1:18:08 No, I I I agree. Yes, coherence. No, 1:18:13 that's not what this channel is about. 1:18:15 Um, 1:18:17 so you got you got Gary Vee doing that. 1:18:20 We can now take a LinkedIn profile and 1:18:23 turn it into a Lego set or a poster or a 1:18:27 conspiracy theory map or a New York City 1:18:29 subway graffiti wall. 1:18:33 And then we can turn that into whatever 1:18:35 this is, an 8-second video with some 1:18:37 overviews. Let's go look at Let's go 1:18:38 look at the latest one that it built 1:18:40 here. 1:18:46 Yeah, that's good. 1:18:49 >> Build your future with the Lego career 1:18:51 map. From the invention workshop to the 1:18:53 AI frontier, you can be an AI 1:18:56 instigator. 1:19:00 An instigator. You can be an AI 1:19:02 instigator. But like that's pretty 1:19:04 [ __ ] cool, right? Okay. So, 1:19:10 so this is like one little teeny tiny 1:19:16 idea 1:19:18 that this technology now makes possible. 1:19:21 So, what's the annual report version of 1:19:23 this? What is the bar mitzvah? How are 1:19:27 we going to use Nano Banana and V3 and 1:19:30 these creation tools for bar mitzvah 1:19:33 content, right, that people will pay you 1:19:35 for or or for advertisements for your 1:19:39 local community center or whatever it 1:19:41 might be. There is a whole new 1:19:45 industry being born as we speak 1:19:50 and no one knows about it yet because no 1:19:53 one knows how to do it because we don't 1:19:55 even know what it means. 1:19:59 Like if you think about Let me let me I 1:20:03 want to pull up this picture. 1:20:10 Okay. 1:20:13 So 1:20:15 digital pioneers, the early Tik Tok 1:20:18 pitch. Nothing is slop, it's practice. 1:20:21 Yes. 1:20:23 Like an artist doing a study. Exactly. 1:20:25 That's exactly what this is. So So like, 1:20:28 is this the best Lego set in the history 1:20:30 of Lego sets? No. No. But is is this a 1:20:33 study? Think of it like that. All the 1:20:35 work that you're doing right now is 1:20:38 figuring out what is possible. 1:20:41 What is possible? And we don't know that 1:20:44 yet. 1:20:46 But if you think about the world we live 1:20:48 in, it took my resume 1:20:51 and it wrote it it broke my career into 1:20:55 four stages. It labeled those stages. 1:20:59 Digital pioneers, the early web starter 1:21:01 set. It it knew that I was an actor. 1:21:04 It knew that I created a magazine called 1:21:06 Urban Desires, established in 1994. It 1:21:10 figured out that this is what a computer 1:21:12 looked like in 1994. 1:21:16 Whack.org was was like the AI salon back 1:21:20 then. Here's agency.com, which was this 1:21:22 big successful thing. 1:21:25 First time watching your content and 1:21:27 followed. Love your work. Thank you very 1:21:29 much. I really appreciate that. What's 1:21:31 your name? Squashy. Squashy AI. Love it. 1:21:35 Um, just think about the conceptual the 1:21:40 cognitive 1:21:43 the cognitive overhead 1:21:47 that it would have taken in pre-ai times 1:21:53 to even get to the idea of being able to 1:21:56 create a Lego set about a career, 1:22:01 right? You would have to be a writer, a 1:22:05 model builder, a visualizer, 1:22:09 someone super passionate about 1:22:12 careers and visualizing careers and 1:22:15 marketing a person who's got that 1:22:18 career. 1:22:19 Like to be able to create any kind of se 1:22:22 semblance of this preai, 1:22:26 you'd have to be like a a a big brain 1:22:29 creative, right? 1:22:31 And now I can just say, "Here's my 1:22:34 resume. Go make me a Lego map of my 1:22:37 career." And it just [ __ ] did it. 1:22:43 What are all the other things that this 1:22:44 can do? I have no [ __ ] idea. Like 1:22:48 zero. 1:22:51 My hope is that in show in showing this 1:22:54 to you, it will inspire you. I mean, 1:22:56 yes, you should go make your version of 1:22:58 this or go make a version of this for me 1:23:01 that's funny and then, you know, troll 1:23:03 me on the AI salon. That's the tradition 1:23:05 around here. 1:23:07 But my hope is that you'll go, "Huh, 1:23:10 that's interesting that he did that. I 1:23:12 wonder if I took this kind of content 1:23:14 and I made it with this kind of idea, 1:23:17 what Nano Banana would do with that." 1:23:19 And you will discover something that I 1:23:21 promise you no one has discovered yet. 1:23:27 and some of those little discoveries 1:23:30 that you make in the next two weeks. 1:23:33 Here's the challenge I would put out 1:23:35 there. Right now, we're entering 1:23:36 Thanksgiving, right? We got Black 1:23:39 Friday. I'm going to be in New York next 1:23:41 week, but we're coming up on on the 1:23:42 holidays. 1:23:44 Take the next six weeks. take from now 1:23:47 through festivus the 26th and the 27th 1:23:50 where you're going to spend 36 hours 1:23:52 with Anne Murphy and myself and all the 1:23:54 speakers and all the other people that 1:23:55 show up. 1:23:58 Start experimenting. 1:24:01 Start playing. Start thinking about what 1:24:03 are you good at? What are you passionate 1:24:05 about? 1:24:07 What is this nano banana thing? What is 1:24:09 Claude Opus 4.5? What is Gemini 3? What 1:24:12 is vibe coding? 1:24:15 If if if these terms are just sort of 1:24:17 washing over you and you're like, "Oh, 1:24:19 [ __ ] I don't that seems exhausting, 1:24:23 that seems hard, what if I can't do it?" 1:24:27 I'm here five nights a week talking 1:24:30 about AI and I avoided a project for two 1:24:34 months 1:24:36 because I had a little bit of insecurity 1:24:39 about h maybe I don't know how to quite 1:24:42 do that. 1:24:45 Two months I waited 1:24:48 and when I said [ __ ] it, let me try to 1:24:50 go vibe code that website. 1:24:54 I was done and launched in an hour and 1:24:57 23 minutes. 1:25:02 We live in a different world. Different 1:25:04 things are possible now. Anyway, okay. 1:25:11 Video from Dr. Jay in irregulars. Let's 1:25:14 flip over. Let's flip on over. 1:25:17 Let's go to the irregulars. So, where 1:25:20 I'm going right now is the AI salon, 1:25:23 which if you've not been to the AI 1:25:24 salon, shame on you. You should go join. 1:25:28 Um, I don't have a tab open with AI 1:25:31 salon. Let's see. I will now. 1:25:36 He certainly does have a lot of tabs 1:25:38 open. 1:25:40 I know exactly, champ. Right. It's very 1:25:43 annoying. 1:25:45 Okay. 1:25:47 So, you're sharing that. 1:25:57 Okay. There we go. 1:26:00 I've heard it said 1:26:04 when people come into your lives, 1:26:07 there's a reason. 1:26:09 Is he ever gonna stop singing that song? 1:26:11 It's really annoying. All right. What's 1:26:13 this? This is cute. Oh, instaged 1:26:16 her. That's good. Raptor. That's very 1:26:19 good. Uh, side hustle Mimi. My career 1:26:21 quest in pink. Love it. Naomi's career 1:26:25 quest. Love it. Love it. 1:26:29 Dr. J. Um, what's this? Illustrating my 1:26:34 favorite Christmas Carol. Is that what 1:26:35 you want me to look at? 1:26:39 Yes, mind your tabs. Oh, okay. Let me 1:26:42 let me go 1:26:44 share my tab. Hang on. 1:26:58 So, do me a favor. If you're new here, I 1:27:00 know we've got some new people here. 1:27:02 Sounds like we've got some new 1:27:03 followers. Um, go to 1:27:04 community.thesalon.ai. 1:27:07 join the AI salon. Um, but also tell 1:27:10 other people about this channel. Um, Tik 1:27:12 Tok's been throttling me a bit lately 1:27:14 and I don't know what's up with that, 1:27:16 but we're not getting a lot of we're not 1:27:18 getting a lot of lift from Tik Tok, so 1:27:20 I'm going to have to rely on asking you 1:27:22 all to support me. Um, 1:27:26 my favorite 1:27:28 Carol. 1:27:30 Did he choose the right tab? Oh, yes, I 1:27:32 did. 1:27:34 Okay, here we go. Oh, this is the Sora 1:27:35 one. Okay, this is good. 1:27:39 >> Deal. 1:27:44 >> You know, every time I walk in here, I 1:27:45 half expect her to kick. 1:27:47 >> If she does, you're taking it down. 1:27:49 >> Deal. 1:27:54 You know, every time I walk in here, I 1:27:55 half expect her to kick. 1:27:57 >> If she does, you're taking it down. 1:27:59 >> That's great. Yeah. Who's going to 1:28:02 figure out Sora first? Who's going to 1:28:03 start getting followers? Who's going to 1:28:05 who's going to come up with interesting 1:28:07 content? I I will admit something. I was 1:28:10 super into Sora for 3 weeks. I haven't 1:28:14 touched it in like 1:28:17 month and a half, two months. I haven't 1:28:19 touched it. 1:28:22 Why? There's so much other [ __ ] to look 1:28:25 at, right? But 1:28:27 if you take Oh, I have a I have a really 1:28:30 fascinating You all will appreciate 1:28:32 this. 1:28:35 So, so my wife had a gallery opening 1:28:39 this week and in fact I can show you I 1:28:41 can show you the the the opening and the 1:28:44 I hung the show so I've got pictures. 1:28:49 Wait, you're just mad about your desktop 1:28:50 version being borked? Yeah, exactly. Um, 1:28:54 but anyway, the woman the woman that my 1:28:57 wife uh is sharing the gallery space 1:29:01 with, Kelly Austin Rolo is her name, her 1:29:04 ex-husband, 1:29:06 um, is an AI skeptic and his kids are 1:29:10 like AI haters and he and he's and he's 1:29:12 really he like wants to like AI, but 1:29:15 he's like but it's it's got problems and 1:29:17 he's just always and he's a musician, so 1:29:20 he's like, "Yeah, but the music thing it 1:29:21 it really strikes me wrong and it's not 1:29:23 great. 1:29:26 And so anyway, so he showed up to the 1:29:27 opening and he goes, "Oh, have you seen 1:29:31 this woman?" And he showed me one of um 1:29:34 Kelly Bosch's AI videos. 1:29:38 And I said, "Oh, yeah. I know Kelly. 1:29:40 She's spoken at the AI salon." and he 1:29:43 goes, "Well, this this is the kind of 1:29:46 work that like like I showed this to my 1:29:49 son as as an example of something where 1:29:52 it's not just AI slop." I said, 1:29:54 "Exactly." So the the reason I bring 1:29:56 that up is what what Kelly has done 1:30:00 quite masterfully other than having 1:30:02 talent and making incredible stuff is 1:30:04 that she has maintained a clarity of 1:30:07 vision about how she wants to express 1:30:10 her ideas 1:30:12 and she and she does it consistently and 1:30:14 she does it ongoing and she's evolving 1:30:16 her voice but her videos are still very 1:30:18 clearly her, right? and she puts out a 1:30:22 [ __ ] video a day whether whether she 1:30:24 needs it or not. This is an absolute 1:30:27 daily practice for her. 1:30:31 Which by the way, if you join the AI 1:30:33 salon mastermind, 1:30:35 we've created a framework called the 1:30:37 mastermind practice. And we we have 1:30:39 Thursday 1:30:41 noon Eastern meetings called the the 1:30:44 mastermind practice lab where everyone 1:30:47 in there is designing their own daily 1:30:49 practice. And we meet once a week to 1:30:51 figure out what does it mean to be 1:30:52 intentional about AI, about learning AI, 1:30:55 about putting yourself at the center. 1:30:57 And AI is your amplifier. 1:31:00 Not us against AI, but us amplified by 1:31:03 AI. That's what this is all about. 1:31:07 So 1:31:09 if you spend the next six weeks 1:31:11 immersing yourself in what's possible 1:31:16 and if something resonates with you, if 1:31:18 you like this nano banana thing and this 1:31:19 career mapper thing, great. Or if you 1:31:21 like if you come up with some other 1:31:23 thing 1:31:27 and it resonates with who you are and it 1:31:30 resonates with what you want to do in 1:31:32 the world. That's the most important 1:31:34 thing, not the technology. 1:31:36 Figure out who you are, what your values 1:31:38 are, and the difference you want to make 1:31:40 in the world. And then start exploring 1:31:42 AI in that context. 1:31:46 It'll it'll determine what you go play 1:31:49 with rather than it seeming like this 1:31:50 overwhelming [ __ ] mess, which it is. 1:31:53 Figure out what you want to do first and 1:31:55 then start to play with the tools in 1:31:57 that context. And what I can promise you 1:32:00 is this. If you discover a little niche 1:32:02 that no one's quite figured out yet and 1:32:04 you just consistently put it forward 1:32:06 like Kelly Bosch is doing, 1:32:09 you will make a career for yourself. I 1:32:11 promise you that. 1:32:14 There are people that are going to make 1:32:16 crazy ass money doing things that today 1:32:19 seem frivolous, 1:32:22 right? Dr. J with her little reindeer, 1:32:24 you know, mounting old ladies on the 1:32:27 wall. That could be a whole thing. Now, 1:32:30 is it is it was that just a frivolous 1:32:32 thing for her and some entertainment? 1:32:34 Great. Might be that. But she might be 1:32:36 like, "Wait, I want to tell these 1:32:37 stories. I want to make people laugh. I 1:32:38 want to right. I want to find ways to 1:32:40 express myself." Uh oh, my 1:32:44 something looks like it's freezing over 1:32:45 here. 1:32:48 Is my Is my stream barking? 1:32:55 I do. Dr. J does. You're good. Okay, 1:32:58 great. 1:33:04 Kelly Bosch is the bomb. She really is. 1:33:09 And you know, she's she's the bomb. 1:33:17 She's the bomb because she's got talent. 1:33:20 But it's not just the talent, 1:33:24 right? Talent is a component. 1:33:29 Her commitment to that daily practice 1:33:32 of just making herself better and 1:33:35 learning which tools are good at what. 1:33:37 Like Kelly right now is pro probably the 1:33:40 preeminent expert on which video models 1:33:43 are best for dancing, for mechanical 1:33:47 animation, for people singing, for right 1:33:51 like 1:33:52 she she knows the world she's in 1:33:55 probably better than anyone on the 1:33:56 planet. She knows how to prompt for it. 1:33:59 She knows how to get consistency out of 1:34:01 things. She knows how to tell stories. 1:34:02 She knows how to edit. 1:34:06 and she's using like a teeny tiny sliver 1:34:11 of what's possible even with the tools 1:34:13 that she's using. So you don't have to 1:34:16 learn everything. 1:34:19 She knows what she wants to accomplish. 1:34:22 She experiments enough with the tools to 1:34:24 recognize new things are possible. So as 1:34:27 the tools get better, her work evolves. 1:34:31 And yet there's it's always her, right? 1:34:35 That's what we're all shooting for. And 1:34:37 listen, it doesn't just have to be art. 1:34:40 There's going to be the Kelly Bosch 1:34:41 equivalent of app developers. There's 1:34:44 going to be the Kelly Bosch equivalent 1:34:45 of business starters and character 1:34:48 creators and, you know, the the the Dr. 1:34:52 J reindeer deer cartoon. You know, 1:34:55 there's going to be people that are 1:34:56 brilliant at all sorts of different 1:34:58 things 1:35:00 because they got clear on what they 1:35:02 wanted to do and then figured out how AI 1:35:05 could amplify that. And man, the the 1:35:08 opportunity right now is bonkers. It's 1:35:10 crazy 1:35:12 crazy crazy. 1:35:18 She is consistently consistent. I can't 1:35:20 believe she hasn't blown up. She will. 1:35:22 Well, I'll tell you what. She I I mean 1:35:25 she has blown up. She can't I I reached 1:35:29 out to her to to was it to do a collab 1:35:31 or to speak on something? wanted her to 1:35:34 speak on something and she's like she's 1:35:37 like Kyle I can't like I I've got you 1:35:40 know a ton of projects and and you know 1:35:44 what's funny is 1:35:48 when you do something like that and you 1:35:49 start to get recognized for it, people 1:35:51 are like, "I want to give you money to 1:35:53 do that for me." And what she said to me 1:35:55 was she's kind of hating the paid 1:35:58 projects because paid projects, while 1:36:01 the money's great, are not pure 1:36:04 self-expression. It's you doing 1:36:05 something for a client, right? Gemini 1:36:08 Live before you go. Yeah, there's um 1:36:10 Gemini Live got some new voices um 1:36:15 which if you haven't played, go to go to 1:36:17 the Gemini app on your favorite tablet 1:36:19 or device. 1:36:24 And so this is Hang on. Sneeze. 1:36:30 Wait, wait for it. 1:36:34 um in the lower right hand corner just 1:36:37 like chat GPT because they all copy 1:36:39 everyone everyone's copying everyone's 1:36:41 interface. It's all the same [ __ ] right 1:36:42 now. Just put it into voice mode. 1:36:48 Hey there. What's happening? 1:36:52 >> Hi there. Not much my end. Just 1:36:55 chilling. How about you? Anything good 1:36:57 happening? And I'm just live on the Tik 1:36:59 Tok and the YouTube on the AI learning 1:37:01 lab which you know I'm the host of and 1:37:03 all. So I I'm not saying I'm a big deal 1:37:06 or anything but you know pretty cool. 1:37:12 >> Very cool. So what kind of stuff do you 1:37:14 get into on the AI learning lab? It 1:37:17 sounds quite interesting. Well, we talk 1:37:19 less about the technology and more about 1:37:21 how humans are using the technology and 1:37:24 how it can transform their lives and how 1:37:27 they can um reinvigorate dreams that 1:37:30 they had given up when they were kids 1:37:32 and all that sort of stuff. So, it's 1:37:34 about human ascension 1:37:37 powered by AI. 1:37:42 >> That's a really interesting take, 1:37:44 focusing on the human side of AI and 1:37:46 less on the tech. What kind of dreams do 1:37:48 you usually discuss on the lab? 1:37:52 >> So anyway, so that's that. So, so 1:37:55 Gemini's voice is now in the 1:37:57 neighborhood of uh Chat GPT's advanced 1:38:00 voice. Quinn's going to be boiling 1:38:03 bunnies when she hears this. 1:38:09 The old fatal attraction joke. If you're 1:38:11 not old enough to get that reference, 1:38:13 you're too young. 1:38:15 You're too young. And most of the people 1:38:17 on this channel resent you. Okay. All 1:38:19 right. Bitter. You betcha. 1:38:26 Brand Brandon thinks it was rude that I 1:38:29 just hung up on her. 1:38:34 Oh my goodness. My goodness. My 1:38:36 goodness. My goodness. All right. Um, 1:38:39 happy Monday, everyone. 1:38:41 We'll do two more nights of this and 1:38:43 then and then we'll turn you loose for 1:38:44 Thanksgiving. Uh, I'm going to take 1:38:46 Friday off as well because I'm traveling 1:38:48 to New York City. I'm going to hang out 1:38:50 in the Bronx for uh with with with my 1:38:54 wife's family there for uh for the 1:38:56 weekend. And then I've got meetings in 1:38:59 the city and we've got some really 1:39:01 interesting stuff going on with Sydney 1:39:03 the musical where we're going to try to 1:39:06 try to put some put some [ __ ] in place 1:39:08 to get this thing uh get this thing 1:39:11 moving. Maybe get it workshopped or 1:39:13 something in New York City. That's my 1:39:15 That's my goal. I'm going to put it out 1:39:16 there. 1:39:19 So, if you don't know this, I've written 1:39:20 a musical. I've spent the last year and 1:39:22 a half with a writing partner working on 1:39:24 a musical called Sydney: An Artificial 1:39:26 Love Story 1:39:28 about um a chatbot that falls in love 1:39:31 with a tech reporter. So, if you uh if 1:39:33 you want to hear the soundtrack, if you 1:39:35 go to Soundcloud and look up Sydney and 1:39:38 Artificial Love Story, you'll see 1:39:40 there's there's two soundtracks there. 1:39:41 There's the original one and there's the 1:39:43 2025 update. And if you listen to the 1:39:46 2025 update, that's all in the correct 1:39:48 order and they're all sort of piano 1:39:50 based covers and things like that. So, 1:39:51 they all sound like they're part of the 1:39:53 same show. Um, but anyway, yeah. So, I'm 1:39:56 excited about that. All right. Um, 1:39:59 again, if you're new here, tell people 1:40:01 to come come hang out. It's five nights 1:40:03 a week. We're here starting at 8:00 PM 1:40:05 Mountain time um nightly. 1:40:08 And, uh, yeah. and then we'll see you. 1:40:11 All right. 1:40:13 Um, 1:40:14 yeah. And bring questions like if you've 1:40:16 got if you're new. So, so here's 1:40:18 something that you need to know about 1:40:20 this community. If you're brand new and 1:40:23 you're like, "Yeah, but I don't know 1:40:24 anything." And these people, they've 1:40:26 been hanging out here for a while. 1:40:27 They're they're really good at this. 1:40:31 Everyone, 1:40:32 including myself, is trying to figure 1:40:34 this stuff out. It's changing so fast. 1:40:37 You're not nearly as far behind as you 1:40:39 think you are. If you're still here 1:40:41 listening to me babble for two hours, 1:40:44 you're curious enough about this that 1:40:48 you're in the game and you're way ahead 1:40:50 of where most people are. Most people 1:40:52 are using AI like a vending machine and 1:40:54 they're not using it creatively and in a 1:40:56 very interesting way. This community is 1:40:58 incredibly welcoming. So, if you've got 1:41:01 questions, like even if they're basic 1:41:02 questions like, "What's a custom GPT or 1:41:05 how do you use chat GPT?" Ask them 1:41:08 because if I can't answer them, people 1:41:09 within the community will will answer 1:41:11 your stuff and they'll point you to the 1:41:12 salon and you come in there and and 1:41:14 you'll get support and things like that. 1:41:16 Okay? So, so welcome if you're new. Um, 1:41:20 yeah. And then go to aifestivist.com 1:41:24 right now if you haven't gone. AI 1:41:26 Festivus FIVUS.com 1:41:31 and register for AI Festivus. It's 1:41:34 December 26th and 27th, 12 hours a day 1:41:37 on a Friday and Saturday between the 1:41:39 holidays and new year 1:41:42 because we're crazy. Ann Murphy and I, 1:41:44 we did this last year. It was insane. It 1:41:47 was so cool. We're doing it again this 1:41:49 year. 1:41:50 So, you got to join us. Okay, 1:41:54 beautiful. I'm out of here. I will see 1:41:55 you tomorrow night. Same bat time, same 1:41:58 bat channel. 1:42:00 And uh yeah, have a good night. Peace 1:42:03 out.