
AI Learning Lab
12/17/2025 - Gemini Pro vs ChatGPT vs Grok: AI Image Generator Quality Comparison

Live Stream2025-12-181:14:44137 views
Description
Tonight we'll be discussing ChatGPT Images, Google Gemini 3 Flash, Lovable Connectors and more!
Kyle dives into a comparative test of image generation across Gemini, ChatGPT, Grok, and Meta, using a complex prompt to highlight differences in speed, prompt coherence, and content restrictions. He notes Google’s rapid improvement, suggesting that the major AI tools are now generally “good enough.” This leads to the central argument that mastering specific tools is less critical than defining your personal goals and purpose within the rapidly evolving AI landscape.
The conversation shifts to community learning, featuring Vicki Baptiste, who details her upcoming "Learn Out Loud" session on combining the vibe coding tool Lovable with the ChatGPT Atlas browser. Kyle also shares exciting updates about AI Festivus 2025, including a sneak preview of his new musical, *Sydney and Artificial Love Story*, which explores the relationship between a tech reporter and an increasingly human chatbot.
Join us for the free AI Festivus next week! Details: AIFestivus.com
#AITools,#ImageGeneration,#LLMComparison,#GeminiAI,#ChatGPT,#AIFestivus,#VibeCoding,#AICulture
Chapters:
00:00:00 Introduction and Setup
00:01:29 Musical Performance One
00:03:37 YouTube Comment Algorithm Hack
00:04:52 Platforms Algorithms Culture (pac)
00:08:35 Musical Performance Two
00:10:35 AI Festivus and Sydney Musical
00:14:33 Festivus for All Users
00:17:29 Special Guest Vicki Baptiste
00:18:24 Vibe Coding with Lovable
00:21:03 Vicki's Notion AI Success
00:24:45 AI Salon Learn Out Loud
00:27:45 Testing Gemini Image Prompt
00:33:06 Comparing Gemini and ChatGPT
00:38:06 OpenAI's Everything App Strategy
00:40:08 Grok Image Generation Speed
00:42:42 Street Photography AI Hack
00:47:56 Meta AI Image Results
00:50:24 Danny Devito Penguin Prompt
00:52:05 Google's Massive AI Leap
00:54:12 Why AI Tools Don't Matter
00:57:52 Centering Before AI Creation
01:02:07 Heart of Sydney Story
01:04:47 ChatGPT's Nanny Guardrails
01:09:12 Final Festivus Call to Action
01:12:37 Kyle's Notion Shame State
Chapters
0:00Introduction and Setup1:29Musical Performance One3:37YouTube Comment Algorithm Hack4:52Platforms Algorithms Culture (pac)8:35Musical Performance Two10:35AI Festivus and Sydney Musical14:33Festivus for All Users17:29Special Guest Vicki Baptiste18:24Vibe Coding with Lovable21:03Vicki's Notion AI Success24:45AI Salon Learn Out Loud27:45Testing Gemini Image Prompt33:06Comparing Gemini and ChatGPT38:06OpenAI's Everything App Strategy40:08Grok Image Generation Speed42:42Street Photography AI Hack47:56Meta AI Image Results50:24Danny Devito Penguin Prompt52:05Google's Massive AI Leap54:12Why AI Tools Don't Matter57:52Centering Before AI Creation1:02:07Heart of Sydney Story1:04:47ChatGPT's Nanny Guardrails1:09:12Final Festivus Call to Action1:12:37Kyle's Notion Shame State
Transcript
0:08 At the stage Move. 0:31 Down. 0:48 share the stab instead. All right, 0:50 that's sharing. Okay, let's get the 0:53 guitar. Chimpy. Chimpy, get your ass 0:56 over here, boy. Hey, boy. You want to 0:58 come sing the songs? 1:01 Chimpy. 1:19 I'm trying to say 1:30 in the future now surrounding 1:34 Surrender to whatever you choke. Cheap 1:37 thrill can be found. 1:40 There's been a little trouble here since 1:44 you came to my rescue. 1:50 And if you like all of the rest, I would 1:53 have quit you long ago. But I couldn't 1:55 do that. 2:00 hotel 2:03 never went too well. 2:07 Make a man crazy and make him cold as 2:10 hell. 2:13 I don't want to think that you wish me 2:15 well. 2:17 But in spite of your trials, still going 2:19 to have to find my own way through. 2:57 came on here. 3:05 His beard was warmer than a look in her 3:09 eyes 3:15 something. 3:21 She said, "Give me a love that don't 3:23 freeze up inside." 3:38 Oh, do me a favor. If you're on Twitter 3:40 to Tik Tok, this one, the one with the 3:43 the one that Marge helps me out with. If 3:45 you're on the Tik Tok, get your ass over 3:48 to YouTube and start commenting. Okay, 3:51 go. So, apparently, producer Brandon 3:54 found some hack 3:56 and everything in this world, you can't 3:58 just like do [ __ ] anymore. Everything's 4:01 got to be a [ __ ] hack. 4:04 Apparently, he found a hack. And you go 4:06 over there and if you comment in the 4:08 first five minutes of the YouTube thing, 4:10 apparently they show your [ __ ] to a lot 4:12 of people. So, what do we got? We got 13 4:16 there. We got 15 there. All right. This 4:17 is 4:21 lab. Oh, lab five. This is no better 4:24 YouTube channel. Oh, there is no no 4:26 better YouTube channel on the planet. 4:28 Kyle is the goat. That's funny. Cindy 4:30 [ __ ] thank you. Yeah. You know what? Go 4:33 to YouTube and just just glow me up. 4:36 Just just blow sunshine straight up my 4:38 ass. 4:40 I've got an LED light. I'll shine it up 4:43 there for you. 4:47 I didn't listen. I didn't mean to go 4:49 blue so early. What are you going to do? 4:52 Anyway, apparently it's there's an 4:55 algorithm thing and you got to play the 4:58 algorithm. You got to play the 5:00 algorithm. 5:01 Gary Ve's all talking about the pack 5:04 methodology, PAC, platforms, algorithms, 5:07 and culture. You got to be on all the 5:10 platforms. We're on the Tik Tok. We're 5:12 on the YouTube. We're not on the 5:13 Instagram. 5:15 We're not We're not on the Snapchat 5:18 groovy thing that Snapchat has. 5:24 Algorithm. You got to know how the 5:26 algorithm works. Some of them are social 5:29 graphs. Tik Tok. It's an attention 5:31 graph. It's not a It's not a a social 5:35 graph. They don't give a [ __ ] who your 5:38 friends are. Why you have followers when 5:40 the algorithm doesn't value them, I 5:42 don't know. 5:44 For the ego of the of the creators, I 5:47 suppose. 5:50 And then C for culture is like what's 5:53 the what's the culture there? You know, 5:56 is Tik Tok all twerking all the time? 5:59 Do I get punished because I don't shake 6:01 my booty? 6:03 So, we aren't spamming. 6:06 No, because what you're doing there is 6:08 you're 6:10 telling me how awesome I am. 6:32 You're not twerking later. I will be 6:34 twerking later. Uh, just later in the 6:37 decade. 6:43 How do you spell twerking? I don't know, 6:46 Genie. I no idea. Okay, perfect. 6:50 Sunshine up the rear end. It is. There 6:52 you go. Yeah, you you guys know what to 6:54 do. 6:57 Um, listen. So, um, so I just got back. 7:00 The reason I'm late, the reason I was 7:02 late on this here, uh, what is this 7:03 called? It's called a live stream. And I 7:07 can do that for the people there on the 7:10 on the Tik Tok. There you go. Beautiful. 7:14 I don't know. Why do I start out in that 7:15 other thing? Oh, I guess because I'm 7:16 singing. You're just looking at me 7:17 singing. That's what it is. Like a 7:19 backstage view. 7:26 Get got get got got got got got got got 7:28 got got got got got got got got got got 7:28 got got got got got got got got got got 7:28 got got got got got got got got got got 7:28 got got got got super fan for 50% off. 7:36 Light at the end of the tunnel. 7:38 That's a tunnel you don't want to be on 7:40 the other side of. 7:45 I really did say that, didn't I, Andy? 7:53 And what are you going to do? You know, 7:56 sometimes I feel like a nut, sometimes I 7:59 don't. Apparently, tonight's nut night. 8:07 The Tim Lord. Good day, Tim Lord. What's 8:10 shaking? 8:14 Brody Jameson's in the house. What's 8:16 happening 8:35 in a westerly? 8:42 This car is my train. 8:47 And I've been wondering 8:51 what it is I'm running from again 8:57 feel like an 80y old man 9:01 holding on 29 9:06 and up ahead on that horizon 9:11 is the California 9:21 ahead and trucks carrying a wide load 9:25 preab house doesn't have 9:29 cute little front door into windows. My 9:32 love 9:33 ain't sure whether a garage should last. 9:38 You're not singing to this champion. You 9:40 see, I broke a home up myself once. 9:44 I stumbled to that door. 9:48 I read a note by the dogs li 9:57 anymore. 10:00 Well, I've had enough 10:04 of this freedom. 10:08 Never was good with decisionions. 10:12 At least that's what I've been told. 10:23 Okay. Okay. Okay. You've got to talk 10:26 about your play tonight. Um, yes. So, I 10:30 just came from rehearsal. 10:32 Um, 10:35 so for those of you that don't know, 10:38 next, not this coming weekend, but a 10:40 week from Friday 10:43 is AI Festivus 2025. Um, we've been 10:46 talking about it for two months now. See 10:49 that on screen right there? Um, 10:53 it is a remarkable event. 10:57 A remarkable remarkable remarkable 10:59 event. Um, 11:02 and one of the things that we're going 11:04 to do in it is we're going to do a sneak 11:07 preview of uh part of my musical Sydney 11:12 Sydney and Artificial Love Story, which 11:14 is about a chatbot that falls in love 11:17 with the tech reporter that's reviewing 11:20 her and all of the hilarious hy jinks 11:22 that ensue. 11:27 It's it's uh it's it's actually it's got 11:29 a lot of heart. It's a very human story. 11:33 Um it's really the story of the tech 11:34 reporter and how he gets drawn into this 11:38 being and it's about our relationship 11:40 with these technologies that are 11:43 increasingly human. So anyway, so we're 11:46 um 11:48 we've got a 50-minute slot. So Andrew, 11:50 my coowwriter and I are going to talk 11:52 about, you know, what what we've been 11:53 doing for the last year and a half. Like 11:55 how do you write a musical, 11:58 you know, and what do you do? Uh, and so 12:01 we've done it. We've got it. And we've 12:03 got some producers interested and that's 12:04 really exciting. And now we got to get 12:06 more producers interested. And so we're 12:09 going to do the second hack half half of 12:10 act one. And it's where the tech 12:12 reporter brings her to life. like she 12:15 basically starts out as this chatbot and 12:16 by the end of act one she is manifest as 12:19 a in human form. Um and so we had the 12:23 rehearsal tonight. So we had the two 12:24 actors there and my coowwriter and I 12:26 were there. We were doing the directing 12:28 and and uh we went through it three 12:30 times and it's really good. It's really 12:33 good. I got a little choked up. I get 12:34 choked up easy. So that's not it's not a 12:36 high bar but but like if it were a piece 12:40 of [ __ ] I'd be like I wouldn't get 12:42 choked up. It' be a different kind of 12:44 joked up. 12:48 It's delayed from Tik Tok. It's not an 12:50 echo. 12:51 Wow, Kyle, it's pretty exciting. It's 12:53 really exciting. It's really exciting. 12:55 So, if you come to Festivus, the the 12:57 Sydney slot is 300 PM on 3 PM Eastern on 13:04 Friday, Friday the 26th. Um, and like 13:07 one of the things I love about Festivus, 13:09 if if you go to aifestivist.com, 13:12 you can see the whole schedule of of all 13:14 the speakers that we've got. It's really 13:15 a remarkable run of show or just a 13:18 schedule schedule of speakers. It's 13:19 really really remarkable. But you'll see 13:22 like, you know, before Sydney is like a 13:25 security expert on, you know, AI 13:27 security and then you see a musical and 13:29 then you probably watch a film festival. 13:32 I don't know. There's just all sorts of 13:34 [ __ ] there. Um, so go check out 13:36 AIFest.com, register. Um, if you want to 13:39 sponsor it, AIFest is free for anyone 13:42 who wants to attend. Um, 13:46 but it costs us money. It's costing us 13:48 dollars. Uh, so if you want to sponsor 13:50 it, there's all sorts of sponsorship 13:52 information on that site as well. Um, 13:55 but go sign up. So, how do you get how 13:58 do we get an all expenses uh, paid trip 14:01 the first time Sydney is on Broadway? 14:03 I'm tell you what, Danielle, if if 14:05 Sydney makes it to Broadway, we're gonna 14:07 have we're gonna have a [ __ ] party in 14:09 New York. I will tell you that. 14:11 >> Hey, Kyle. 14:12 >> Yes. 14:13 >> Since you're ignoring my uh 14:15 >> Oh, I can't see it. 14:17 >> I'm hollering you 14:19 >> to pull you down to Tik Tok. 14:22 >> Important Tik Tok pin. Tobias, I invited 14:25 three of my previous co-workers to join 14:26 AI Festivus. Will they be scared away? 14:34 Oh man. Um I don't know if you're being 14:37 Let's see. As they have never used. No, 14:39 they they won't. Listen, one of the 14:41 things about Festivus last year, we 14:44 we've got one of the sessions Tobias 14:47 and and we did uh Ann Murphy and I did 14:50 our AI readiness uh project podcast 14:52 today and we had two of the speakers 14:54 that are speaking at festivist. We had 14:56 five of them on the on the podcast 14:58 today, but two of them talked about 15:01 they came to Festivus last year not 15:03 doing anything and one of them wasn't 15:05 employed for two years and she's now 15:07 employed working for a paper newspaper 15:10 bringing them to the modern age like 15:12 getting them to use AI tools in the ad 15:16 part of the business and AI tools in the 15:18 editorial part of the business. Um, and 15:20 you know teaching them ethical AI and 15:22 and just all the stuff. Um, that was a 15:26 direct result of Festivus. 15:29 We have we have so many stories of 15:31 people that showed up at Festivus. I I 15:32 was scared of AI and you know I felt 15:35 welcomed and it you know I didn't know 15:37 what was going on and all that sort of 15:39 stuff. So it is 15:43 it's just it's just a good party. 15:47 It's just here's the reason it's so good 15:51 is that the speakers that come to 15:53 festivist, 15:55 they're donating their time, they're 15:56 donating their energy on a holiday 15:58 weekend, right? This is between 16:00 Christmas and New Year's. Um it's it's 16:03 the 26th and 27th. It's 12 hours a day, 16:10 which which when I say that out loud, 16:12 it's just it's bonkers. 16:15 and and yet people come and they love it 16:18 and they hang out and they show up and 16:20 they show up and they show up. Um and 16:23 the speakers are just so generous. The 16:26 speakers are just like, "Here's who I 16:27 am. Here's what I do." Um you know, 16:30 everyone that we asked has just been 16:33 really lovely and and you know, gotten 16:35 back to us and all that sort of stuff. 16:38 So, um yeah. So, that's that. 16:42 All right. Let's see. 16:49 Thank you for that. I can see both 16:51 postits now. I could just see the purple 16:52 one before, Brandon. That's what was uh 16:55 that's what was going on there. Uh I was 16:58 not ignoring you. I was just ignoring 17:00 you. 17:04 All right. You know what we're going to 17:05 do? We're going to go I got to go look 17:07 at Gemini. 17:10 So, so Gemini 17:14 gemini.google.com. 17:18 Where should we start? What model is 17:21 this? 17:23 >> Oh, here we go. Pro. 17:25 >> Oh, hang on, Kyle. 17:27 >> Yes. 17:27 >> Before we go off on that tangent, um, we 17:30 have a special guest. 17:32 >> Do we have one? Vicky Baptiste. 17:34 >> We do. 17:36 >> Bring her up here. 17:39 Fantastic, 17:40 >> Vicki. 17:41 >> Oh, I Hang on. I probably should turn my 17:43 TV down. 17:49 >> Yes, you'll be on like both screens at 17:51 once. 17:52 >> That's awesome. So, so, so last night, 17:55 um, last night I was, what was I 17:58 talking? I was talking about Festivus. 17:59 I'm like, Fesus, you're like, "L" and 18:02 I'm like, "Oh, Vickiy's laughing." It 18:03 didn't, it didn't even register. that at 18:05 one point you're like, "No, we've got a 18:07 law on Saturday." And I didn't know what 18:09 it was and I it it was a complete 18:11 travesty. So, I saw you today and let's 18:14 untravesty this. So, here's the thing. A 18:17 week from Saturday is the second day of 18:19 Festivus. But this Saturday, this 18:22 Saturday is an LOL, a learn out loud 18:25 that Vicki is teaching. Um, and why 18:27 don't you tell the good folks what it's 18:29 about? It is. It is a vibe coding. Uh, 18:32 yeah, just talk about it. I'm really 18:34 excited about it. 18:35 >> It is. It's Well, we all know Lovable 18:37 and we've all been using Lovable, but I 18:39 have been using Lovable Lovable. Um, 18:44 this is why I can't do live things. 18:46 >> Fine. You You can watch me, right? Like, 18:51 >> I know. I know. And And I did threaten 18:53 to post on my Tik Tok bloopers. So, 18:55 there is 18:56 >> Yeah, exactly. Yeah. 18:58 Yeah. So, I've been using Lovable, but 19:00 in the um chat GPT Atlas browser. 19:04 >> So, basically, you have your Lovable 19:06 chat on one side and you can have your 19:08 chat GPT chat on the other side. And 19:11 it's just like, you know, sped up the 19:13 efficiency like a thousand% being able 19:16 to do both those things at once. So, I 19:18 figured 19:20 >> is the is the is the chat GPT window 19:22 like aware of what's happening in the 19:24 lovable thing? Is that right? So, oh 19:27 that's cool. 19:28 >> Yeah, it it it is really cool. It's 19:30 ultra cool. Um I love using the Atlas 19:33 browser despite all its, you know, 19:35 fallacies and like shortcomings and 19:37 whatever. Yeah. Um you know, everyone's 19:40 got my information anyway. So, 19:41 >> that's cool. And then and then what are 19:43 you gonna are you are you like building 19:45 a specific kind of app? Are you going to 19:47 like what's what's the what's the uh the 19:50 subject matter other than the tool? Um I 19:53 well I I thought that we could you know 19:55 come up with some ideas together like 19:57 whoever's in the group but then again 19:59 like when you have input from 16 people 20:01 like they might not all want to build 20:02 the same thing. So I do have a fallback 20:03 idea if we 20:06 got to have the fallback idea. 20:09 >> Great. Um and we might have time to 20:11 build two smaller ones or we might have 20:12 time just to build one and like iterate 20:14 on it a bit more. It's not going to be 20:16 like a, you know, like a full 20:18 lifechanging thing like Brandon and 20:20 Rick's thing in Florida, but but we'll 20:23 come up with something. 20:24 >> That's really cool. And it's it's one 20:26 hour or two hours. 20:27 >> It is an hour. Um, and then, you know, 20:30 people can like play along in their own 20:32 screens and, you know, just follow along 20:35 or they can just watch or obviously 20:38 everyone can contribute. But 20:40 >> yeah, that's great. And if you if you 20:42 don't know what Lovable is, so Lovable 20:44 is one of what are called vibe coding 20:47 tools where basically you just ask in 20:49 English and it will code things for you. 20:52 It creates web applications. Right. 20:54 They're not doing mobile yet. That's 20:55 correct. Right. 20:56 >> Not yet. No. But I do have a tool for 20:59 that as well, which I'm learning. So 21:02 that's that's another LOL. And then and 21:04 then while you're up here, you might as 21:05 well brag a little bit because Vicki was 21:07 downright gloating today. She came in 21:09 and said, "I'm cranky." And then she 21:10 started talking about this. She was 21:12 downright gloating. Can Can you talk 21:14 about what what did what did you what 21:16 have you done with notion? 21:19 >> I just turned my whole life around 21:21 basically. 21:23 My my my 21:25 brain is in notion. Well, my brain has 21:27 always been in notion, but it's been 21:29 pretty much a reflection of my real 21:31 brain. Like it's scattered like in a 21:33 million places. Um, but using Notion AI, 21:37 um, I've been able to bring like a bunch 21:39 of stuff together and like I I just love 21:42 it. It's because there's no copy and 21:44 paste anymore. You just ask the AI agent 21:46 to do whatever you want it to do and it 21:48 just goes and or it will give you a 21:50 response and say, "Do you want me to do 21:52 that for you?" Sure, go ahead. And so 21:55 it's like, you know, 21:57 >> moving around. 21:59 >> It is. I Well, I had like five to-do 22:01 lists or something like that. So, it's 22:03 consolidated all my to-do list, which is 22:05 not an easy feat because you have 22:06 different labels. Like, it might be done 22:08 in one and it might be completed in 22:10 another. So, it's got to like match all 22:12 those things. 22:13 >> Um, but it's like, you know, it just 22:15 doesn't fight me. It just it does 22:17 whatever I ask it to. 22:20 >> I can ask it to. So, I'm I'm going to 22:23 try and like to teach this course on 22:25 notion, which obviously I learned from 22:27 someone else. And so I just asked the 22:29 agent like, "Can you just put a course 22:31 together teaching me, you know, to help 22:33 teach people what we're doing here?" And 22:35 like, it's put the whole course together 22:36 for me. So, 22:37 >> good. 22:38 >> Yeah. Created some databases. So, I'll 22:40 have a template that I can give people 22:41 that they can 22:43 >> um Okay. And I have the databases 22:45 already set up and it has all the 22:46 instructions in it and everything. And 22:48 it is just so very cool. 22:51 >> And yeah, it's just like organizing my 22:54 whole life. like you I was in my my 22:56 therapy appointment this afternoon and 22:57 she said, "So, what have you actually 22:59 done anything that you were said you 23:01 were going to do in the last um yes, 23:03 I've done this and I've done this and 23:04 I've done this and it's just 23:06 >> it has a you list of my tasks at the top 23:09 and you can show all your tasks or you 23:11 can show just the day or just the 23:13 weeking week or whatever. It's it's just 23:16 so so organizing. I don't I don't know 23:18 this feeling." 23:20 >> That's amazing. First first question. 23:22 Oh, you're getting lots of yays and very 23:24 cools and things like that. First 23:26 question, when's the notion class? 23:28 Listen, she's got to get done with the 23:29 lovable class before she can teach the 23:31 notion class. It's a it's a bottomless 23:34 pit of need over here. You know, 23:36 >> it is. We'll say in the new year. We'll 23:38 say 23:38 >> in the new year. Yeah, exactly. That's 23:40 awesome. 23:42 >> We have January and February already 23:43 scheduled. Um we have Lord Deod San and 23:47 we have um Korean. I can't I think 23:50 Kore's January and um digital gods is 23:54 February. So it might be March unless we 23:57 squeeze an extra one in, you know. 23:58 >> Squeeze extra one in. Okay, cool. That's 24:00 awesome. Um great. So Saturday, lol. 24:04 What time? 24:05 >> 400 PM Eastern. 1 p.m. 24:06 >> 4 p.m. Eastern. And if you if you don't 24:08 know what we're talking about, go to 24:09 community.thesalon.ai 24:11 and in the upper lefthand corner, you'll 24:13 see events and then look for the event 24:15 this Saturday called LOL. And that's 24:17 Vickiy's event. And please go RSVP so 24:20 she knows how many people to get nervous 24:23 for. 24:24 >> Thank you. I wasn't until then. And also 24:28 if anyone else has an idea for an LOL 24:30 that either they want to present or they 24:32 have a topic that they want to hear 24:34 about and we can find someone to present 24:36 it. Just let me know that too and we can 24:38 we have a lot of you know months to fill 24:40 next year. 24:41 >> Vicki Vicki I think you came up with the 24:43 idea for the LOL, right? 24:45 >> And she manages it. So, so the LOL 24:48 stands for learn out loud. And the whole 24:50 idea within the AI salon, we've got this 24:53 idea of play first, um, create 24:55 excellence and generously lead. And that 24:57 generously lead part is about, you know, 25:00 learn out loud, right? Learn, um, share 25:03 what you're learning in real time while 25:04 you're doing it because no one can keep 25:06 up with all this technology. So, as each 25:09 of us learn little bits of things, if we 25:12 can just share with one another, it 25:13 helps us all grow and that's what that's 25:15 about. So, thank you for doing that, 25:17 first of all, and then thank you for 25:18 teaching one. I'm excited for it. So, 25:22 >> all right. Well, you did great. There 25:23 was no there there was one stumble. 25:25 There was one stumble. 25:27 >> I'll have it on video. So, we'll be able 25:29 to put that on loop and we'll send it. 25:32 >> Great. I can send you some more if you 25:34 like to add to it. 25:35 >> Exactly. All right. This was awesome. 25:38 Thanks. Thanks, V. 25:40 >> All right. Cool. Beautiful. That's I 25:43 like it a lot. I like it a lot. So, go 25:46 do that. Um, Gemini Fast. 25:53 Is this Gemini Flash 25:56 on Gemini.google.com? 25:57 Does anybody know? 26:01 Does producer Brandon know? 26:04 Gemini 3 flash. 26:06 Oh, fast. It's the fast one. Okay. 26:09 Because it doesn't say flash here 26:11 anywhere. 26:15 fast. 26:18 Um, 26:20 let's see. Um, 26:24 prove the 26:27 Ryman 26:29 hypothesis. 26:34 Silver Fox on YouTube. My re my 26:37 resolution for 2026 is to Lmore with 26:40 Vicki. Oh, that's great. Yeah, it's a 26:42 great great thing. Proving the Ryman 26:44 hypothesis or Reman hypothesis was 26:47 largely considered the holy grail of 26:48 mathematics. It is one of the seven 26:50 millennial prize problems and correct 26:54 proof carries a $1 million prize from 26:56 Clay Mathematics Institute. As an AI, I 26:59 cannot provide proof 27:03 that has eluded the greatest 27:04 mathematical minds for over 160 years. 27:07 However, I can't explain it. 27:12 Uh, I I 27:15 don't know. I suppose that's good. Um, 27:18 Vicky will need the lawn more. Beautiful 27:22 to prove you need thinking mode. Yeah, 27:24 exactly. Um, let's 27:28 see if create images. Is this still the 27:32 old image generating tool? 27:35 visual layout. 27:38 So, I'm in um I'm in Gemini right now. 27:42 So, let's do we're going to go make an 27:45 image. So, we'll say 27:48 um create an image of 27:55 seven king 27:58 penguins 28:04 marching 28:07 in front of a marching band. 28:13 From 28:17 Tusa 28:20 Luca 28:23 High School 28:28 High School um 28:32 down let's see 28:36 Time Square 28:39 in a snowstorm 28:43 on New Year's Eve 28:47 with Anderson 28:50 Cooper and what's his what's the buddy's 28:52 name that he drinks with? 28:56 That's not how you spell Tuscaloosa. 29:01 I don't know how to spell Tuscaloosa. 29:03 What's his name? The dude that drinks 29:05 with Anderson Cooper. They always get 29:07 drunk. Is it Andy something? Andy. Andy 29:11 Cohen. Is it Andy Cohen? 29:15 Cohen. 29:17 I think it's Andy Cohen. And 29:20 Andy Cohen. Is that right? 29:24 Is it Andy? 29:26 Come on. Yo, someone can Google this, 29:29 right? You've got chat GPT. I'm trying 29:32 to write a prompt here. 29:36 Nothing. I get nothing. Yes. Okay. I got 29:38 Yes. Andy Cohen, I believe. Okay. Let's 29:42 see if we did this. So, what do we say? 29:44 Seven King Penguins, a marching band 29:47 from Tuscaloosa High School, 29:50 Anderson Cooper, and Andy Cohen. 29:54 That was pretty fast, wasn't it? And 29:57 let's see. One, two, three, four, five, 30:00 six. 30:02 Is there a seventh one back there? Oh, 30:04 it only gave us six penguins. 30:06 And that looks like two men, but that's 30:10 not Anderson Cooper. 30:12 You're in fast, so it won't use Oh, it 30:15 won't use pro. Oh, okay. Fine. Be that 30:18 way. Let's go get that prompt, then. 30:21 Flip it into pro. 30:46 Okay, 30:48 let's see. I suppose we could go to Oh, 30:52 you know what we could do? They both 30:54 have silver hair. I know. Exactly. Those 30:56 two dudes did not. All right, let's see 30:58 if this one's better. 31:00 Oh, it did the same thing. This is a 31:02 nano banana bug. I hate that bug. It 31:04 makes the exact same image sometimes. 31:07 New chat. 31:10 Boom. Uh, boom. 31:13 Pro. Generate images. Um, 31:17 16 by9 wide. Let's go. 31:33 Have you all noticed that Ed 31:38 for Santa Claus show him with a darker 31:40 gray beard? 31:42 Oh, that 31:45 this got it right. Okay. One, two, 31:48 three, four, five, six, seven penguins. 31:52 Let's see if this is the Tuscaloosa 31:54 marching band. 31:56 I can't see what that says, but 31:58 possibly. 32:00 And then there's Anderson Cooper and 32:02 Andy Cohen. It worked in a snowstorm. 32:07 Okay. All right. So, let's now we're 32:12 going to close 32:15 this. 32:17 We're going to change how we're sharing. 32:25 La 32:52 da da da da. 32:54 I know it's annoying. 33:00 Okay, so there's Gemini on the left. 33:03 Let's do chat GPT on the right. 33:07 Is this it? 33:13 Chat jeep. 33:17 And then we're going to put this into 33:19 Oh, yeah. Oh, the other thing um chatbt 33:23 got by the way is 33:27 let's see 33:29 how do I get more of these KA. 33:37 Ah, there we go. Um 33:40 there's this this Can you see this? 33:43 Yeah. 33:45 So, when you click on the plus button, 33:47 there's a bunch of things like shopping 33:49 research and deep research and agent 33:52 mode and and then there's this further 33:54 drop-own menu. And in that, you've got a 33:57 bunch of apps. And if you go to add 33:59 sources, 34:02 um, and then click here, add, and then 34:04 say connect more. Like why they buried 34:06 it in in front of a bunch of ads is 34:10 crazy to me. This is not the latest 34:12 interface. 34:14 >> Yeah. If you click on your history or 34:16 your left nav, um there's a in in chat 34:20 GPT. Um if you expand the 34:24 you've got apps at the top. 34:28 Oh yeah, look at that. And images is 34:31 new, too. Okay. Oh, cool. Okay, so if 34:33 you go to apps, very cool. Thank you. So 34:36 here's featured apps. Photoshop, Air 34:39 Table, Apple Music, Alltrails, 34:41 Booking.com. 34:43 So 34:46 chat GPT is going to connect with any 34:49 app out there, any developer that wants 34:51 to do it. They're now opening this up. 34:53 They're opening it up like Apple opened 34:54 up the app store. And what this means, 34:57 if you're trying to figure this out, 34:59 what does this actually mean is that 35:01 with from within Chat GPT, you're going 35:04 to be able to access any other app. 35:07 Um, 35:15 Low res. You can download the full 35:18 image. Oh, of this. Yeah, I can download 35:21 the full one. 35:24 Uh, 35:26 yeah, Nano Banana Pro is 4K images. I 35:29 think you can make them 4K. Maybe I have 35:31 to up Do I have to up res it in here? 35:34 Um, let's see. up 35:36 up res 35:38 to um 4K. 35:43 We'll see if it does it. 35:53 Um and then let's go back over to chat 35:55 jeopet and we're going to go images tab. 35:59 And it's got this really weirdass shitty 36:02 interface. 36:05 It's fine. It's a fine interface. All 36:08 right. Is this This actually looks 36:10 pretty big. No, maybe it's the same. 36:33 I mean that really is close enough that 36:35 if you saw that 36:38 somewhere Tuscaloosa sort of 36:44 Tusk sort of Tuscaloosa High School deck 36:47 deck 36:51 they got the tubas in the back the 36:52 little clarinet they're wrapped in 36:54 plastic. Yeah. 36:57 Amazing. 36:59 There they are doing their thing. 37:04 Absolutely wild. 37:06 So, let's take that prompt 37:12 over here to 37:15 chat GPT. 37:18 Let's compare them, shall we? 37:23 Okay. So, AI festival is just for 37:25 advanced users. No. I need to tell them 37:28 to wait and join something later. No, 37:32 no, it's it's not Tobias. It's not for 37:35 advanced users. That's what I was 37:36 saying. There's people that people that 37:38 came to Festivus last year that knew 37:40 nothing about AI a year later are like 37:44 they got motivated and they realized it 37:46 wasn't just about the technology and 37:48 they realized that they didn't have to 37:49 be a flipping math major to be any good 37:51 at it. Oh, I never finished on the 37:54 thought of the importance of 37:57 the app store. Oh, yeah. Like, okay. 38:06 What 38:08 OpenAI is doing with this app store is 38:10 they're laying the foundation for all 38:13 large language models to 38:16 to try to lure your lure lure lure lure 38:21 you into attract you into their web 38:26 and keep you there. They're trying to 38:28 every large language model company right 38:30 now is trying to create the everything 38:32 app so that you never have to leave 38:34 them. Wait, chat GBT didn't like using 38:37 Anderson Cooper. It didn't. Oh, it 38:39 doesn't follow our content policy. 38:42 Then you suck. 38:45 Try uh 38:49 try it with generic 38:55 um news broadcasters. 39:02 Attention 39:09 is all you need. I don't have any 39:10 attention. I'm a little exhausted after 39:13 the uh the Sydney rehearsal. Although I 39:15 didn't do anything except give notes. 39:21 The apps are trying to capture your 39:22 attention. Oh, I see what you're doing 39:24 there. That's good. That's smart. Yeah, 39:26 they're all going to try to get you to 39:28 use their app and their app's going to 39:29 be better. Elon Musk is absolutely on 39:32 this train. 39:39 Huh. 39:42 I actually kind of like this one better. 39:46 They're generic. There's your generic 39:48 broadcasters. 39:50 And let's see. One, two, three, four, 39:53 five, six, seven. Seven penguins. High 39:56 school band. 39:58 It got the red and white of Tuscaloosa. 40:01 Happy New Year. 40:06 Huh. Fascinating. Let's bring up another 40:08 one. Let's do Grock. Grock.com. 40:12 This one will definitely do Anderson 40:14 Cooper. 40:16 Um, so we're going to go to the imagine 40:18 tab 40:20 and I'm going to paste that in there. 40:26 Now, Grock, if you haven't played with 40:28 it, is really quite good. Let's see. 40:31 Let's grab one of these. One, two, 40:34 three, four, five, six. So, not the 40:36 right ones there. Is that Anderson 40:39 Cooper? Not really. 40:42 But look, it just keeps making it just 40:44 keeps m making image after image after 40:47 image. 40:50 And And they're fast. Like, I don't know 40:51 how it's doing the diffusion this fast, 40:54 but it is. And then it turns them into 40:56 movies. 41:15 Yeah, Grock's really fast. 41:17 And then I'm going to pull up Meta 41:21 cuz Meta 41:40 Oh my god, that's hilarious. 41:43 Oh my god, 41:46 I need 11 labs. Morgan Freeman, 41:50 the king penguin took over the island. 42:05 Can I loop? 42:25 and good night everyone. Have a 42:27 fantastic evening. 42:31 Okay, 42:34 so Grock wasn't so big on prompt 42:36 coherence, but it's really fast. Um, and 42:40 it'll just instantly make you videos. By 42:42 the way, new street photography hack. Go 42:46 do street photography. If you if you 42:48 know what it is and you like it. I love 42:50 it. I love street photography. Just 42:53 destined a little see something you 42:54 think's a picture. Take it. 42:57 Upload your pictures to Grock and it 43:00 instantly turns them into videos. Let me 43:02 show you something I did in New York. I 43:03 haven't even done this yet cuz cuz this 43:06 is a project that I 43:10 I actually need to finish. 43:12 Oh, wait. 43:15 Squirrel. 43:16 Okay. Remember remember the other night 43:18 I was trying to find um these black and 43:21 white pictures from this box. Remember 43:25 this box? It's this little 4x5 card box 43:28 and in it are all these 4x5 uh film 43:33 negatives from 1937. 43:38 And so I took a couple of pictures of 43:40 some of the things in there. 43:43 And so here's here's one of them. That 43:45 cute little kid in the middle 43:48 there. They got look at the size of 43:49 those rabbits. 43:52 And then this is 43:55 Donald Donald Ira Wilson, son of Ira and 43:58 Blanch Wilson, was born on June 10th, 44:00 1920 in Atlanta, Kansas. Was killed in 44:03 action on the Italian front December 44:05 9th, 1944. 44:08 So it's someone that was killed in 44:10 action. There's a 44:13 in grateful memory of from Franklin 44:15 Roosevelt. 44:18 And then there's just these pictures and 44:19 they're like, "These people are really 44:21 stylish 44:23 and the photographs are really good. 44:27 It looks like a woman photographing her 44:29 shadow. Looks like a bob haircut. 44:34 Like look at those dudes. Look how cool 44:35 they are. Look how cool that car is." 44:42 And so you can take any of these and 44:43 turn these into images. So So Grock's 44:45 really good at that. So, so street 44:48 photography you can do old photography 44:49 and turn it into photos, but you can 44:52 also do 44:57 um 45:01 okay all these. So, 45:07 see these things that look like kind of 45:09 photographs on the wall? They're all 45:11 mosaics. 45:15 Look at that. 45:19 This is in New York City at the 72nd 45:21 Street station. So, I took pictures of 45:24 every single one of these. 45:27 The whole station's full of them. Like 45:29 this dude with the briefcase flying 45:31 open. 45:34 Mama with a stroller, 45:38 bow-legged cowboy. 45:43 Aren't these great? 45:46 Then 45:48 I went into Grock. So let's go into 45:51 Grock again. Is this Grock? Let me see. 45:54 Where's my 45:56 October social September? 46:00 Let's see. History. Imagine. 46:07 Are these buying? Yeah, there we go. Oh, 46:09 yeah. 46:10 So, here's that one. 46:13 That's one of those old photos turned 46:16 into that which is so cool. Creepy cool. 46:23 This is a fun one. Little kid. It's like 46:26 I'm done, mom. I'm out of here. 46:30 Even in 1937, kids were a pain in the 46:33 ass. 46:36 Oh, man. All right, let's see. Do it. 46:41 Uh, 46:44 no. Did I not do them in Grock? I 46:46 thought I did them in Grock. 46:50 Guess not 46:52 chat. No, 46:59 I don't remember where I did them. But 47:02 anyway, I turned those things into cool 47:04 into cool images. All right, so that's 47:06 Grock. So, so we've got Grock image 47:10 is good, fast, really good at video. 47:13 Chat GBT image. Um, was it Rick 47:17 McCaulay? Yeah, Rick McCaulay today um 47:21 described Chat GBT's image generation 47:24 like a a snapshot, you know, like a 47:27 disposable camera. And uh and Nano 47:30 Bananas like a digital SLR, like you 47:32 just have a lot more controls and 47:34 things. Um, 47:36 I think that the thing that sets Nano 47:38 Banana Pro apart from anything else so 47:41 far, including Chat GBT, is that it's 47:44 natively tied to the reasoning engine. 47:47 So, Nano Banana is just better at 47:50 solving things visually. And then the 47:52 the last one I'll show you here is Meta. 47:55 Meta.ai 47:59 also has image generation. So, if you go 48:02 down the lefth hand side here and you 48:04 say create 48:07 and then let's pop in our prompt. 48:13 We'll see how it does. 48:22 It's using midjourney, so I don't think 48:23 it's going to get the prompt coherence 48:25 right. Oh, yeah. And I'm I'm using a uh 48:27 a mood board, obviously, or a style 48:30 reference. So, I'm going to get rid of 48:31 that. 48:33 We'll try it again. 48:36 But these are kind of cool. 48:39 Why can I not view that? 48:43 Bigger. I want to see it bigger. Look at 48:46 that. That's pretty gorgeous. 49:05 That was cool. 49:10 All right. 49:12 Close that. And then here's 49:16 So this is MidJourney's 49:20 version of this. Let's see. One, two, 49:22 three, four, five, six, seven. That's 49:25 got seven penguins. That's not so bad. 49:41 It's more than seven. Two, three, four, 49:43 five, six, seven, eight, nine. 49:53 Absolutely bonkers. All right, so 49:58 So right now there's just from the 50:01 commercial companies 50:05 and this is not including ideog it's not 50:08 including Leonardo it's not including 50:10 crea it's not including Deco here 50:14 which a lot of those apps that let you 50:18 use different models you can use all 50:19 these models inside them anyway 50:23 um 50:24 turn them into Danny Dvito Oh, that's 50:27 pretty cute. Yeah, let's do that. Okay, 50:30 let's do it. Uh, they won't let us do 50:32 it. We'll do it at uh Gemini. Okay, 50:38 turn 50:39 the uh let's see. 50:42 Zoom in 50:48 on the penguins 50:51 and make them all Danny 50:56 Devito 51:00 from the Penguin 51:03 movie. 51:05 Um, 51:09 they 51:11 should look silly 51:16 but menacing. 51:39 Baba butt. 51:42 What's happening? Baba butt. Baba butt 51:45 in the house. 51:48 Look, seven penguins. 52:00 That's pretty good, man. 52:02 All right, Google. 52:06 I I would seriously like to understand 52:10 how Google went from being a laughing 52:13 stock 52:15 the the year Chat GPT came out, they 52:17 they were so bad 52:20 to being this good. 52:23 Just goes to show you when you dump a 52:24 big old pile of [ __ ] money toward a 52:29 single thing, good things can happen 52:38 on your unless your name is Mark 52:40 Zuckerberg. That's a great point. 52:43 What was he throwing? $200 million 52:45 signing bonuses for 22year-old 52:48 engineers. 52:51 Wait a minute. That didn't work out. 52:56 Is Pate in here? Pate, what's happening? 52:59 Listen, Pate, you're not going to be 53:01 comfortable here anymore. I keep saying 53:03 nice things about Google. 53:06 I keep I keep demoing things. I keep 53:08 expecting Google things that I demo to 53:11 suck and they keep being really good. 53:14 Uh, I would argue, and you you know, 53:17 you've told me this day would never 53:19 come. I would argue that OpenAI has lost 53:24 the lead 53:26 and they've lost their uh 53:30 their their purpose, their mojo. They've 53:32 lost their mojo. Anyway, um 53:38 there is so much I'm going to I'm going 53:40 to um 53:43 I'm going to check out for a minute. 53:47 I talked about this on the AI readiness 53:49 project podcast today 53:52 with all of the stuff that's coming out 53:55 and it's a lot. It's like it's a lot. 53:59 Like Brandon's having a tough time 54:01 keeping up with it and then he tries to 54:02 explain it to me and I'm just like my 54:04 eyes glaze over. 54:07 Um, 54:13 it is it is now my contention that the 54:16 tools don't matter. 54:20 Now, 54:22 could we do anything remarkable without 54:24 the tools? No. No. The tools the tools 54:26 matter to do stuff, but the tools don't 54:28 matter. Like, you've got to learn them. 54:30 You've got to learn to 54:33 prompt this one just correctly and you 54:35 got to learn to the foibless of that one 54:38 and this and that. I just think the 54:40 tools are getting good enough now that 54:41 the tools are good enough and then it 54:44 comes back to who are you and what are 54:46 you trying to do in the world? Jim Ross 54:48 was in here and just said you had a 54:50 breakthrough week with AI. One of the 54:53 reasons Jim can have breakthrough weeks 54:55 with AI is he's constantly thinking 54:57 about his business. 55:00 He's thinking about his business and his 55:01 customers and how does he serve them and 55:04 how can how can he let people know the 55:06 cool thing that he came up with 55:09 to get it in front of them. How can he 55:11 do that? 55:13 And so he just keeps asking 55:16 all of the questions other than 55:20 what's the best AI, right? Because there 55:24 is no best AI. They're all fine. They're 55:27 all janky. There's vibe coding ones and 55:30 picture ones and movie ones and word 55:32 ones 55:35 and 55:37 they're all fine. 55:40 You know, none of them at this point 55:44 are good enough that you can, 55:47 you know, check out as a human, 55:51 but they're all fine. And if they're all 55:53 fine, then that means you can choose any 55:55 tool. You can literally choose any tool. 55:58 Well, how do you choose the tools? Where 55:59 do you begin? 56:01 You begin with what you want to do. 56:08 What do you mean, what do I want to do? 56:09 Like literally, if you could do 56:10 anything, what would you do? I don't 56:14 know. Uh, 56:16 I like pizza. Okay, good. 56:21 Do you want to make pizzas for people? 56:24 Do you want to go to a pizza eating 56:26 contest or create one? Do you want to 56:29 make pizza shaped refrigerator magnets? 56:33 What do you want to do? H, I like pizza. 56:37 Okay. So, you're gonna eat pizza? Yeah, 56:39 I'm hungry. Okay. 56:42 Right. 56:46 If your answer to every question is 56:48 just, I'm kind of hungry. I want pizza. 56:51 This, 56:53 you might need to be a tad smarter than 56:55 that for this AI stuff, but not much 56:57 more. 56:59 I like pizza. 57:00 I like to 57:03 Rick McCaulay chat image 1.5 is an 57:07 amateur artist with great presets but it 57:10 has strict limits. Nano banana is the is 57:14 the world model. It gives you control 57:16 and isn't offended 57:19 and it generates LeBron while GPT 57:22 refuses. Fascinating. 57:28 Gotta find your icky guy. Yeah, the icky 57:31 guy thing is really is really powerful. 57:34 Um I think even just 57:38 CJ Fletcher last year last year's 57:40 Festivus, which by the way a week from 57:43 Friday is AI Festivus 2025. If you have 57:46 not signed up, go to afestivist.com 57:49 right now. Sign up. Last year CJ 57:52 Fletcher 57:54 did a session on midjourney 57:57 on or no stable diffusion on creating 57:59 images. He's an artist and his goal is 58:01 to be in MoMA within five years. Three 58:04 years have passed. He's got two years to 58:06 get in MoMA. 58:09 Um 58:10 so he taught this class on how he makes 58:12 art and how he thinks about art with AI. 58:16 and he's got he's got this super 58:18 powerful gaming laptop that he carries 58:20 around with him and it's got enough GPU 58:22 in it that it can run stable diffusion 58:24 and he can render all of his images 58:26 locally. 58:28 And when he started his session, he 58:30 said, "Here's the most important thing I 58:33 do when I sit down to make images 58:36 is I close my eyes 58:40 and I take a deep breath. 58:50 and he centers himself. 58:53 And in that moment, he gets to say, 58:55 "What do I want to create?" Not just, "I 58:59 can create it. Squirt, squirt, squirt, 59:01 squirt, squirt, squirt, squirt. Let me 59:03 squirt out more images. Let me squirt 59:05 out more videos. Let me squirt out more 59:07 songs." 59:09 He's taking a moment to go, "Where am I 59:11 right now? What do I want to do right 59:13 now? 59:15 That's really important. Um, Tik Tok 59:17 pin. 59:20 Woohoo. Festivist premium ticket. Love 59:22 that, Rick Olsen. Thank you. That's 59:24 awesome. 59:26 Um, my break my breakthrough today was 59:29 co-pilot still makes up links even after 59:31 I yelled at it. Yeah, Co-Pilot. 59:35 So apparently like within Microsoft 59:41 they're having some issues with their 59:43 salespeople like going into 59:47 big enterprises and the big enterprises 59:49 are like yeah we'll take your other 59:51 stuff but yeah co-pilot sucks. We're 59:54 using chat GPT and we're using claude 59:56 and we're using Perplexity. They're 59:58 using anything but C-pilot because it's 1:00:00 it's bad. But whatever 1:00:04 at some point it'll get fine. 1:00:08 Claude by AI research company Anthropic 1:00:10 worked better for coding for me. Yeah, 1:00:12 Milan Milan Junka. Um 1:00:16 Claude Opus 4.5 does still seem to be 1:00:20 the the winner on coding. 1:00:24 Um, Gemini Flash that just came out is 1:00:29 um, 1:00:31 orders of magnitude cheaper and a lot 1:00:33 faster than Gemini 3 Pro, but still 1:00:36 pretty damn good. Um, 1:00:42 there's so much there's so much 1:00:44 Microsoft sucks. They do. They do. Um, 1:00:49 your play is the meaning in your life. 1:00:54 life is meaning making. I would say the 1:00:57 play is one of one of the things in my 1:00:59 life. But you know what was cool, Rick? 1:01:00 I don't know if you if anyone's a 1:01:02 theater geek here. Um 1:01:06 I was on this Zoom call with these two 1:01:08 actors in New York and my writing 1:01:10 partner in upstate New York and I'm 1:01:12 sitting in Denver and I'm sitting in 1:01:13 this corporate, you know, meeting room. 1:01:16 And it's got like frosted geometric 1:01:18 shapes on the windows and I'm just 1:01:20 looking at myself on the screen and it's 1:01:23 like 7:00 at night and there's no one in 1:01:25 the office 1:01:27 and I'm rehearsing a play and it just 1:01:30 took me back to when I was doing plays 1:01:32 in New York City where you know you'd 1:01:34 work a 9 to5 and then you'd go rehearse 1:01:37 from like you know six o'clock until 1:01:39 [ __ ] two in the morning and you'd do 1:01:41 that for for two months and then you'd 1:01:44 launch the play. You You'd go do the 1:01:48 play and like 17 people would come on 1:01:50 the biggest night and two people would 1:01:52 come on the the shittiest night 1:01:55 and then you'd be depressed and then 1:01:58 you'd do it again and then you do it 1:01:59 again and it reminded me of that. It 1:02:01 reminded me just, you know, having my 1:02:03 corporate day job going to do the 1:02:04 theater gig. So, 1:02:07 but I'm telling you that the Sydney 1:02:09 story you you'll see if you come to 1:02:11 Festivus, it's it's really good. This is 1:02:13 the the part that we've chosen to show 1:02:16 to to to excerpt for the uh for Festivus 1:02:21 is the heart of the show. It's where the 1:02:24 tech reporter brings her to life. It's 1:02:26 really good. Um do you have to create in 1:02:30 the images tab? No, you can 1:02:34 I think you get the same. Okay. So, in 1:02:37 um 1:02:41 is it Gemini? No. Uh 1:02:45 No, it's in chat GPT, right? Which one, 1:02:49 Vicki? I think you were talking about 1:02:50 chat GPT either. 1:02:54 No, they they just made these images 1:02:56 tabs because 1:02:58 they're giving you presets. 1:03:04 Yeah, there you go. They've got all 1:03:06 these presets, right? Like create a 1:03:08 holiday card. So there's a create a 1:03:10 holiday card. There's a photo of me 1:03:15 in a in a garbage pale kids t-shirt. 1:03:24 Chat GBT has nanny guardrails. It really 1:03:26 does. It's garbage. 1:03:29 Woohoo. Festivist premium ticket. 1:03:33 Rehearsal night image in a regulars. Oh, 1:03:35 nice. Okay, cool. 1:03:43 Here's my holiday greeting card. 1:03:47 Holiday cheer with Coca-Cola warmth. 1:03:58 That looks decently like me. 1:04:08 Oh, that's hilarious. 1:04:12 Um, let's see. 1:04:16 Um, if I go add photos 1:04:21 and I go Santa 1:04:32 D. 1:04:48 Oh, the question was images. Yeah, the 1:04:50 images. So, I can just be in normal chat 1:04:53 and just go I can click on the plus 1:04:55 button and then say create image and see 1:04:57 how it's got the styles down here. Like 1:04:59 we can do dramatic. 1:05:00 We'll choose that photo. 1:05:06 Is that going? 1:05:08 Yes. 1:05:21 Yeah, I guess LeBron probably cut a deal 1:05:23 with them. The thing I'm still blown 1:05:25 away with that that 1:05:29 people aren't talking about as a as big 1:05:31 a deal as it is is the Disney deal with 1:05:35 Chat GPT. You're going to be able to 1:05:37 make Disney characters inside Sora, the 1:05:40 Sora app, the video app. 1:05:43 Um, 1:05:45 and normally Disney would charge a 1:05:48 licensing fee to be able to use their 1:05:50 IP. 1:05:52 They paid chat GPT OpenAI a billion 1:05:56 dollars to be able to be on their 1:05:58 platform. 1:05:59 I find that remarkable. Remarkable. 1:06:04 Look at that. Look at that man. 1:06:08 Look at that man. He's He's wet. He's 1:06:10 moist and dirty. He's a moist, dirty 1:06:14 man. 1:06:15 Look at that man. He's all man. 1:06:20 He's got man hands. 1:06:23 He's got a man tan in man hands. That 1:06:27 man. 1:06:31 All right. Rehearsal night image in 1:06:33 irregulars. In irregulars. Let's go. 1:06:36 Look. All right. Here we going. We're 1:06:39 going everybody. 1:06:42 Here we go. 1:06:53 The Penguin Beatles. Nice. Solid. Oh, 1:06:56 look at that. Rehearsal day by Kyle 1:06:59 Shannon and Andrew Watts. You know 1:07:00 what's funny? We were talking about um 1:07:03 securing the rights for this thing. And 1:07:06 and uh one of the women that we're 1:07:09 working with was like, "Maybe you should 1:07:10 do a musical about trying to secure the 1:07:12 rights for a musical." Which I thought 1:07:14 was pretty funny. Look, there's Champy. 1:07:18 Sydney's got blue hair. Why is she 1:07:20 sitting on like a hemorrhoid pillow? 1:07:25 Sydney, an artificial 1:07:28 an artificial love story brought to you 1:07:30 by Preparation H. 1:07:39 It's It's tough producing on Broadway. 1:07:41 We had to listen, Kyle. Good news is we 1:07:44 got enough money to put your show up on 1:07:45 Broadway. What's the bad news? Well, we 1:07:48 had to take on some sponsors. What do 1:07:50 you mean sponsors? Yeah. Well, our 1:07:52 biggest sponsors, Preparation H. What? 1:07:55 Yeah. Sydney's got to have uh some sort 1:07:58 of issue. 1:08:06 Man, that's some comedy right there. 1:08:11 All right. I'm on a kind of mission. 1:08:19 Thank you, Lord Digital Gods, for making 1:08:22 cool uh cool YouTube thumbnails all the 1:08:26 time. You're amazing. 1:08:28 Um, what's this? All right. Excellent 1:08:31 image prompt. Oh, that's cool, Danielle. 1:08:32 Very nice. There's Mr. It. Beautiful. 1:08:37 Lovely. 1:08:40 Oh, that was when I talked about peanut 1:08:42 butter sandwiches. 1:08:47 Oh man, 1:08:52 Vicki, sometimes in Mighty Networks 1:08:54 things don't post. Like I get things 1:08:56 where it's like I posted something and 1:08:58 then I go back and it's not posted. I 1:09:00 don't know what happens with it. 1:09:02 Something's odd. 1:09:04 All right. Um I gotta get out of here. 1:09:06 I'm crispy. I'm crispy as a critter. Um, 1:09:12 there's kind of too much to pay 1:09:14 attention to right now. So, don't just 1:09:16 go to Vicky's L on Saturday and then get 1:09:19 your rest. 1:09:21 Get your rest to deal with your family 1:09:23 and then come hang out with us a week 1:09:26 from Friday starting at 9:00 a.m. 1:09:31 We've builtin breaks so you you're going 1:09:33 to be able to go get pretzels, 1:09:36 nachos, hot pockets, 1:09:39 leftovers, 1:09:41 get in a bite with Uncle Stew, 1:09:44 and then come back and see the next 1:09:46 Festivist thing. So, it's 12 hours with 1:09:48 breaks. 1:09:51 9:00 am to 900 pm Pacific, Friday the 1:09:55 26th. 9:00 a.m. to 900 p.m. Friday or 1:09:59 no, Saturday, December 27th. All right. 1:10:05 All the tools are very overwhelming 1:10:07 right now. What's what what makes them 1:10:10 overwhelming is that there's not a 1:10:12 single tool that's a single tool 1:10:14 anymore. All the all the tools are 1:10:16 multi- it's like we went from a Bowie 1:10:18 knife 1:10:20 that you could like chop stuff with and 1:10:22 it was good. And now 1:10:25 every Frontier model site is like a 1:10:28 Swiss Army knife and it's like they're 1:10:30 the specialized one like the electronics 1:10:32 one with weird screwdriver tips. 1:10:35 It is it's it is it's exhausting right 1:10:37 now. Everybody did an amazing job 1:10:40 showing up with their YouTube comments. 1:10:42 Yeah, thank you for that. That was 1:10:44 really nice. YouTube comment. 1:10:47 Um, 1:10:50 I've been making freezer meals. 1:10:54 Will ship for money. 1:10:57 That's so those sound cool. 1:11:02 What number business is that of yours, 1:11:04 Vicki? 1:11:07 In between 3D printing in between 3D 1:11:10 printing um fidget spinners for people 1:11:14 like me, 1:11:16 she's cooking pre-done meals. 1:11:22 Oh man. Oh, she's talking about 1:11:25 nourishing me for festivus. Oh, that's 1:11:28 hilarious. That's awesome. That's great. 1:11:30 Um fantastic for festivus. Beautiful. 1:11:35 All right, I'm going to get out of here. 1:11:37 So, go see Vickiy's L on Saturday. 1:11:39 Today's Wednesday. Tomorrow's Thursday. 1:11:42 Uh, I did that math. I could figure that 1:11:44 out. Once I knew today, I could actually 1:11:47 figure out with my large language model. 1:11:50 What's the next day after this day we're 1:11:52 in? Depending on the time, depending on 1:11:54 your time zone. Steve disagrees with me. 1:11:58 Different time zone, different part of 1:11:59 the world. He's living in the future. 1:12:05 There's no reason he needs to be 1:12:06 obnoxious about it, but he is. He's 1:12:07 living in the future, right? Anyway, 1:12:11 it's Wednesday here. I know because I 1:12:13 can do math because I have a large 1:12:14 language model built right here. Low 1:12:16 wattage. I think it's something like 10 1:12:18 watts. 1:12:21 Tomorrow's Thursday. So, come back here 1:12:23 tomorrow 8:00 1:12:26 and we'll we'll do some [ __ ] All right. 1:12:31 manastic. 1:12:34 You don't have to figure it out. If you 1:12:36 if you're in Notion, it'll know. I swear 1:12:38 to God, Vicki, if I go through the the 1:12:40 angst 1:12:42 like right now with notion, I'm in I'm 1:12:46 in the notion shame state. The notion 1:12:49 shame state is everyone's talking about 1:12:52 notion. Everyone's talking about how 1:12:54 remarkable it is once you team up AI 1:12:56 with notion. 1:12:59 And I've actually gone and looked at 1:13:00 notion and I don't know if you download 1:13:02 it or you go to the website doesn't 1:13:03 [ __ ] matter. Whatever you do with it. 1:13:07 I looked at it and then I tried to chat 1:13:10 GPT it and chat GPT said oh notion's 1:13:13 based on these concepts of I don't know 1:13:16 widgets and snorts or it's it calls them 1:13:19 something like components right and so I 1:13:23 go to notion and nothing in there is 1:13:25 labeled what the core idea of it is and 1:13:29 so I'm just an angry Gen Xer and so I 1:13:32 said no 1:13:37 I 1:13:39 So, I'm going to take when Vicki teaches 1:13:42 her LOL, her notion, LOL, I'm going to 1:13:45 take it. And then if I install this 1:13:48 stupid [ __ ] thing and it's horrible, 1:13:50 what do I do? 1:13:53 What do I do? 1:13:58 We've officially entered whiny 1:14:00 Wednesdays. 1:14:02 I don't like AI. There's too much to 1:14:04 learn. I'm exhausted. You know, I got a 1:14:06 musical, right? It's probably not going 1:14:08 to go anywhere. 1:14:14 Kill me. Fire me. 1:14:21 All right, everyone. You have yourselves 1:14:24 a fantastic evening. Um, go join the AI 1:14:27 salon. Join the ASLon mastermind. Go to 1:14:29 the LOL's. Sign up for festivists. Get 1:14:32 your ass out there. Share things. Help 1:14:34 us. help us bring new people into 1:14:36 Festivus. All right, good night 1:14:38 everybody. Night Kelly Camp. Thank you 1:14:40 all for posting on YouTube. Thanks all 1:14:42 for hanging out tonight.