
AI Learning Lab
6/17/2025 - Embracing the Jank: An Evening of AI Experimentation and Frustration

Live Stream2025-06-181:27:4765 views
Description
In this AI Learning Lab session, Kyle Shannon explores several AI tools, focusing on Google Gemini and Flux Context. He tests Gemini's deep research capabilities by tasking it with comparing interior latex paints, analyzing cost versus quality, and identifying brands to avoid. He then uses Gemini to create a web app based on the research, humorously titled "The No BS Painter." The app aims to help users select the best paint for their needs, but Kyle encounters several technical issues, leading to comical frustration and a "master class in whining." He also briefly discusses a future podcast with Ann Murphy, where they will discuss their respective AI frameworks.
Kyle's experimentation with Flux Context for image generation proves equally challenging. He struggles with aspect ratio control and other features, expressing his frustration with the complexities of the current AI landscape. The session highlights the current state of AI, with its mix of impressive capabilities and frustrating limitations. Despite the technical difficulties, Kyle maintains a humorous and engaging tone, providing entertainment alongside insights into the world of AI tools.
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#AI #ArtificialIntelligence #GoogleGemini #FluxContext #DeepResearch #ImageGeneration #WebApps #AIArt
Chapter:
00:00:00 Opening Monologue
00:02:03 Champy's Grumpy Night
00:03:26 Happy Tuesday Greetings
00:04:12 Air Conditioner Troubles
00:05:21 Down Down Down
00:06:29 Superbase and Lovable
00:07:14 Gemini Exploration
00:08:18 Melancholy Song
00:09:26 Superbase Explained
00:09:45 Heresy Idea
00:10:00 Gemini Model Search
00:11:00 Model Chart Discovery
00:11:32 Source Camp Arrives
00:11:50 Letting AI Do The Work
00:12:00 Gemini Model Specs
00:12:15 Fire and Burning Smell
00:13:00 Gemini Website Visit
00:13:50 Recent Biz Work
00:15:05 Flux Context Question
00:15:36 Flux Pro and Hedra
00:16:00 Hedra Image Generation
00:17:45 Black Forest Labs
00:18:11 New TV Show Discussion
00:18:49 Flux Context Login
00:19:24 Video Integration Question
00:20:05 Finding Flux Pro
00:21:02 AI Complexity Discussion
00:22:13 Playground.bff.ai
00:22:43 Frustration With AI
00:23:21 Pin Confusion
00:23:35 Flux Playground Agreement
00:24:02 Flux One and Hedra
00:25:24 Bread Maker Recommendation
00:25:43 Gemini Bread Maker Research
00:27:04 Bread Maker Features
00:27:55 Shouldn't Tools Be Magic?
00:28:21 Altitude Question
00:28:44 Kyle's Model Choice
00:28:53 AI Refrigerator Inquiry
00:29:02 Jankiness Frustration
00:29:53 Flux Context Aspect Ratio
00:30:02 Appliance King of Denver
00:31:02 Irregulars' Mischief
00:31:17 Flux Pro Inquiry
00:32:15 Aspect Ratio Debate
00:32:36 Joy Pertie's Recommendation
00:33:00 Dark Green Background
00:34:12 Sydney Picture Request
00:34:39 Edutainment Channel
00:35:05 Upscaling to Gallery
00:36:04 Sydney's Work Status
00:37:28 Refresh Irregulars
00:38:06 Donald Trump Hand
00:38:47 AI Refrigerator Sighting
00:39:00 Hedra Image Refinement
00:41:03 Glory and Goodness
00:41:40 Dark Blue Dress Issue
00:42:07 Extreme Wideshot Suggestion
00:43:10 Flux Context Comparison
00:44:48 Broken By The Jank
00:45:14 Gemini Fun Time
00:46:05 House Paint Research
00:48:19 Canvas for Web Apps
00:49:02 Hilarious and Bitter Report
00:49:50 Bread Maker Recommendations
00:50:38 From A to I
00:51:21 Paint Research Progress
00:51:51 Bread Maker Comparison
00:53:59 Hating The Internet
00:54:45 Irregulars Discount
00:55:00 Slow Thinking and Sites
00:55:23 Yeti Thermos Story
00:56:04 Deconstructing Paint
00:57:57 Audio Overview Idea
00:58:20 Building a Web App
00:59:40 Multitasking and Exporting
01:00:01 Cynic's Guide to Paint
01:01:06 Color Picker Issue
01:02:01 Two Recommended Paints
01:06:04 Bad Solution Critique
01:07:05 Date Picker Suggestion
01:07:17 Picking Your Paint
01:07:41 Canvas Check-in
01:07:57 Audio Overview Attempt
01:08:41 Claude's Vibe Feature
01:09:15 Hyperlink Issues
01:10:00 Refresh Regulars Again
01:10:36 Third Date Story
01:11:00 Appliances A to I Song
01:11:50 Flux and Relationships
01:12:00 Paint Lies Podcast
01:20:29 Deep Research is Cool
01:21:39 Podcast with Ann Murphy
01:23:01 Upcoming Schedule
01:23:28 Appliance King Song
01:24:04 Denver Appliance Sponsor
01:25:08 Concluding Remarks
01:26:57 Second Life Comparison
01:27:12 Farewell and Self-Reflection
Chapters
0:00Opening Monologue2:03Champy's Grumpy Night3:26Happy Tuesday Greetings4:12Air Conditioner Troubles5:21Down Down Down6:29Superbase and Lovable7:14Gemini Exploration8:18Melancholy Song9:26Superbase Explained9:45Heresy Idea10:00Gemini Model Search11:00Model Chart Discovery11:32Source Camp Arrives11:50Letting AI Do The Work12:00Gemini Model Specs12:15Fire and Burning Smell13:00Gemini Website Visit13:50Recent Biz Work15:05Flux Context Question15:36Flux Pro and Hedra16:00Hedra Image Generation17:45Black Forest Labs18:11New TV Show Discussion18:49Flux Context Login19:24Video Integration Question20:05Finding Flux Pro21:02AI Complexity Discussion22:13Playground.bff.ai22:43Frustration With AI23:21Pin Confusion23:35Flux Playground Agreement24:02Flux One and Hedra25:24Bread Maker Recommendation25:43Gemini Bread Maker Research27:04Bread Maker Features27:55Shouldn't Tools Be Magic?28:21Altitude Question28:44Kyle's Model Choice28:53AI Refrigerator Inquiry29:02Jankiness Frustration29:53Flux Context Aspect Ratio30:02Appliance King of Denver31:02Irregulars' Mischief31:17Flux Pro Inquiry32:15Aspect Ratio Debate32:36Joy Pertie's Recommendation33:00Dark Green Background34:12Sydney Picture Request34:39Edutainment Channel35:05Upscaling to Gallery36:04Sydney's Work Status37:28Refresh Irregulars38:06Donald Trump Hand38:47AI Refrigerator Sighting39:00Hedra Image Refinement41:03Glory and Goodness41:40Dark Blue Dress Issue42:07Extreme Wideshot Suggestion43:10Flux Context Comparison44:48Broken By The Jank45:14Gemini Fun Time46:05House Paint Research48:19Canvas for Web Apps49:02Hilarious and Bitter Report49:50Bread Maker Recommendations50:38From A to I51:21Paint Research Progress51:51Bread Maker Comparison53:59Hating The Internet54:45Irregulars Discount55:00Slow Thinking and Sites55:23Yeti Thermos Story56:04Deconstructing Paint57:57Audio Overview Idea58:20Building a Web App59:40Multitasking and Exporting1:00:01Cynic's Guide to Paint1:01:06Color Picker Issue1:02:01Two Recommended Paints1:06:04Bad Solution Critique1:07:05Date Picker Suggestion1:07:17Picking Your Paint1:07:41Canvas Check-in1:07:57Audio Overview Attempt1:08:41Claude's Vibe Feature1:09:15Hyperlink Issues1:10:00Refresh Regulars Again1:10:36Third Date Story1:11:00Appliances A to I Song1:11:50Flux and Relationships1:12:00Paint Lies Podcast1:20:29Deep Research is Cool1:21:39Podcast with Ann Murphy1:23:01Upcoming Schedule1:23:28Appliance King Song1:24:04Denver Appliance Sponsor1:25:08Concluding Remarks1:26:57Second Life Comparison1:27:12Farewell and Self-Reflection
Transcript
0:12 [Music] 0:25 All praise is lovely. of grace. Yes. In 0:32 his own place. He discovered his own 0:35 place. Buried himself alive 0:39 inside his basement 0:42 of his face. Working away on 0:45 displacement. 0:47 What do we take to survive? 0:50 [Music] 0:52 When you're done with this world, 0:56 [Music] 0:57 you know all the next is up there. Yo, 1:01 [Music] 1:12 as he learned how to turn turn. 1:17 [Music] 1:50 [Music] 2:03 Oh, Champy, you're loud. You're loud and 2:06 grumpy tonight. 2:08 [Music] 2:12 Well, every time I say it now, 2:16 I get that look in mine. 2:20 Every time I see your mouth, I 2:24 hear that smile. 2:28 The early misty morning light. I heard 2:32 the engine. 2:35 The old outside. 2:40 [Music] 2:44 You a living man 2:47 again today. 2:51 You a convince me 2:54 again today. 2:58 Leaving the time looking for someone 3:02 else's golden ring. 3:04 [Music] 3:07 Should 3:09 so long Suzan 3:16 now don't cry. 3:22 [Music] 3:27 Oh, what's happening people? Happy 3:28 Tuesday. Tuesday. Tuesday. What's going 3:30 down? What's shaking? What's happening? 3:34 Everybody good? All right. What are we 3:36 doing? Why did my air conditioner go 3:37 off? Do I have it on auto? Hang on. I'm 3:40 I'm blasting hot here. 3:43 [Music] 3:46 Cool. Timer. 3:49 What's up? 4:01 [Music] 4:13 Please tell me this didn't just stop 4:14 working. 4:16 [Music] 4:22 I think the old air conditioner just bit 4:24 the dust. People, what are we going to 4:26 do? What are we going to do? Oh, now 4:29 it's coming back on. All right, fine. 4:31 Whatever. 4:34 How is everybody? What's going on? What 4:37 do you want to talk about tonight? We 4:38 can talk about 4:44 [Music] 5:22 Down 5:28 down down down. 5:31 [Music] 6:30 What is the superbase in lovable? 6:34 Superbase in lovable. So, Superbase is a 6:37 database and so it's a Supabase is like 6:42 a hosted database management service 6:47 that's partnered with Lovable. So, it's 6:49 incorporated into Lovable. So, when you 6:51 make an app, 6:53 like I made a an app that's a to-do 6:55 list, right? 6:57 And if I didn't have a database there, 7:00 then every time I would add to-dos to 7:03 the to-do list, the next time I launched 7:05 the app, all my to-dos would be gone. 7:08 Um, and I couldn't have any other people 7:10 log into the system. So, there you go. 7:14 YouTube requests. We don't do much with 7:17 Gemini, it seems to me. Can we play with 7:21 that a little? I'm completely unfamiliar 7:23 with its capabilities. Um, we can play 7:26 with it a little bit. I am not super um 7:34 I don't I haven't been following all 7:36 their models, so I don't know a lot of 7:37 their models, but we can go to um 7:43 Well, we'll start with with 7:45 gemini.google.com. 7:48 [Music] 8:18 pretty melancholy. Oh, the song. Yeah. I 8:21 don't know what I'm really playing here. 8:26 [Music] 8:32 Oh, this is 8:36 [Music] 9:19 I don't know. I don't know what it is. 9:22 I do not know what it is. Um, anyway, 9:27 Mr. Yeah, Superbase is the thing that 9:29 allows you to have a database in your in 9:31 your apps. Uh, Wolfman Clint, thank you 9:34 so much. I appreciate that. Appreciate 9:36 the gifts. It's quite generous of you. 9:41 Um, 9:44 Do 9:46 let's see. Oh, you know what we could 9:47 do? I have an idea. 9:52 This is going to be heresy. 9:56 All right, hang on. So, let's see. New 9:59 chat. 10:01 We go. Plus, I'm going to go 10:04 search 10:06 uh let's see 10:09 search the web and 10:13 tell me which models 10:17 are available 10:20 right now on 10:24 gemini.google.com. 10:31 and what each of them are best for 10:37 and 10:40 which ones have multi- 10:46 modality 10:48 or 10:50 special features. 10:54 All right, let's see. 11:00 Oh, okay. Cool. 11:03 All right. Let me go look there. Got a 11:05 DM from 11:08 Yeah, but that just didn't that just say 11:09 that's that's the new things they added. 11:11 I just kind of wanted a 11:13 a list. 11:20 Oh, yeah. They've got this chart. 11:23 Yeah, this is so exhausting. 11:32 Source camp in the house. What's 11:34 happening? You can make Gemini explain 11:36 itself to you. Yeah, I could. 11:41 [Music] 11:51 Yeah, silly me. Let the AI do the do the 11:53 stuff. Yeah, that's I went to chat GPT 11:55 to ask about Gemini. 11:58 All right, the Gemini 1.5 Pro series. 12:01 Midsize, high capacity, handles huge 12:03 inputs. Let me see if it's cool out. We 12:05 just had a rainstorm, so it might be 12:07 cool out. 12:13 [Music] 12:16 Oh, someone's putting on a fire where 12:18 something's burning. 12:20 Joe 1.5 Flash 2.0 series 2.0 2.0 Flash 12:24 2.0 Pro 2.0 You know 2.5 series 2.5 12:28 flash 12:30 2.5 Pro flagship reasoning model chain 12:33 of thought 12:38 [Music] 12:41 V3 Gemini Robotics multimodal live API 12:47 oh comparison 12:51 context window 12:53 about a million tokens for the 2.5 five 12:55 models. 12:58 That's kind of cool. All right. All 13:00 right. Yeah, we'll go we'll go play. In 13:02 fact, I can I can go over there now just 13:06 so I don't forget. gemini.google.com. 13:11 And then I think I've got to switch 13:16 better text and image quality with image 13:18 gen 4. 13:22 All right, 13:23 that's cool. 13:28 Let's see. Let me try this one. 13:31 Yeah, this is ultra. So, I should have 13:33 access to everything here. 2.5 flash and 13:36 pro both new 13:41 deep research canvas 13:44 video. 13:50 Oh, okay. All right. So, can you see can 13:53 you see can y'all say can y'all see what 13:56 I'm looking at here? I've been doing 13:59 some serious work in the past two days 14:01 on my biz. Couldn't have done it without 14:03 chat. Oh, that's interesting. 25,000 14:06 likes coming and brought to you by Mr. 14:08 It. 14:11 Yeah. 14:13 Didn't I say that? You should be looking 14:14 at Gemini right now in northeast 14:17 Northwest Ohio. It's 79° and about 300% 14:20 humidity. Yeah, it's a little moist 14:22 here, too. Although, it's a little 14:23 cooler out than than it is inside. So, I 14:26 think I'm going to be okay. 14:28 Um, but something is definitely up with 14:30 the old air conditioner. It's not happy. 14:32 Oh, you know what it probably is? I know 14:34 what it probably is. I probably haven't 14:36 cleaned it out and it's probably all 14:37 full up and so it's overheating. 14:51 [Applause] 14:55 vibe sweating. 14:59 Oh yeah. 15:05 Hey, I do have a question. Is anyone in 15:08 here, Danielle, you might be one of 15:10 these. Is anyone in here 15:13 using um Flux context? And if so, what 15:18 what tool are you using it at? Are you 15:20 using it in some other tool, some video 15:23 tool or some image gen tool? Where's 15:26 anyone using Flux Context? 15:35 [Music] 15:36 Yes, Flux Pro. You're using it at the 15:38 site. Mr. He's using a Hedra. Yeah, I 15:41 don't like My problem is I don't like 15:43 Hedra's implementation unless they fixed 15:46 the problem that I had the other day, 15:49 which was my problem was 15:52 I couldn't get it to do an aspect ratio 15:54 that wasn't the input as aspect ratio, 15:56 and that was pissing me off. 16:00 Hedra image 16:04 flux context 16:07 prot2. 16:11 All right. Well, let's put in a 16:15 reference image of Sydney. 16:20 We'll get if I know we're supposed to be 16:24 playing on Gemini, right? 16:28 Welcome to chat add. 16:32 Okay. So, we'll say um actress 16:38 in in 16:41 a flowing 16:46 red dress on a 16:50 Broadway stage with 16:57 See, I can't change my aspect ratio 17:00 here. 17:03 Can I? I can't. 17:08 God damn it. 17:14 On stage with 17:19 large curved 17:22 LED screen 17:26 behind 17:28 the actress. 17:32 on the screen 17:35 are the Swiss 17:38 Alps. 17:40 And then we're going to generate that 17:42 image and it's just going to generate a 17:44 tall image. 17:46 You can use it for free from from Black 17:48 Forest Labs. I just was on Black Forest 17:51 Labs and it said I had to pay. I think 17:57 Black 18:00 forest 18:07 collapse. 18:11 By the way, I'm watching a new TV show 18:13 called Stick with uh oh, what's his 18:16 name? 18:18 I don't know. Mark Marin's in it. And 18:20 then the one of the silly brothers. 18:25 It's about a golfer, little old has been 18:28 golfer taking on a talented kid. Flux 18:31 one context 18:34 log in 18:41 [Music] 18:50 available credits zero. 18:56 Oh, that's API. Why am I in the API? I 18:59 don't want the API 19:03 dashboard. Shouldn't this be app? 19:09 No, 19:13 [Music] 19:18 I'm there now. And you can try it for 19:20 free. 19:24 How can I add a video interregulars from 19:26 my computer without using YouTube? 19:32 Uh 19:44 flux.pro 19:46 Pro. 19:49 No. 19:53 God damn it. Flux Pro. 19:59 Flux Pro Web. 20:05 Oh, you know what? 20:16 Get started. Try demo. 20:24 Flux Pro AI. 20:31 Is this the one you use, Joy Perie? 20:35 Lucia.pro 20:39 fluxai prot 20:44 Jesus. How many URLs are there? This is 20:47 unbelievable. 20:49 fluxai.pro. 20:57 I just want like one where I can change 20:59 the aspect ratio. 21:03 Now I got to log in. Annual sale 30% 21:05 off. I the This has got to live inside 21:09 some tool I'm using. Hang on. There's 21:11 got to be Deco here. Is it in Decco here 21:13 yet? 21:15 Because I pay for other [ __ ] 21:19 Um features, use cases, get started, 21:23 log in. 21:31 I'll tell you what, the 21:34 if you're new to AI, the complexity 21:38 of this world right now, you know what's 21:40 funny? AI at this point is starting to 21:43 turn into it's not quite as bad as NFTTS 21:46 and NFT bros, but it's pretty [ __ ] 21:49 close because because we now have 21:52 powerful open-source models. The minute 21:54 an open source model drops 21:57 um or something like flux context that's 22:00 really good, everyone incorporates it 22:02 and then all these shitty little apps 22:04 spin up that have all similar URLs. It's 22:08 just it's just bad. Squirrel. Yeah, I 22:10 know. 22:12 I know. 22:14 Playground.bff.ai 22:18 AI 22:21 generate images. 22:27 Can I pick a model here? No. 22:30 No. Of course you can't. Of course you 22:33 can't. 22:36 I'm exhausted. I I just want to 22:44 Could something just work? I don't know 22:47 which site I have access to. See pin. 22:52 Okay. I don't see the pin. 22:57 Someone make him look at my pen. 23:00 What's your pin? There's nothing pinned. 23:03 Danielle, 23:05 I know. I saw that one before. I just 23:07 don't trust it. Playground. 23:12 Bff.ai. 23:18 No, that's not right. 23:22 Someone please make him look at my pen. 23:25 BL 23:27 Oh, Black Forest Labs. BFF.ai is 23:30 available if you'd like to buy it. 23:33 BFL.ai. 23:35 Welcome to the Flux Playground. Get 23:37 started. Okay. 23:40 Yes, I agree. I'm over 18. I I agree 23:43 with you. Yes, you can have all of my 23:45 data. I already gave it to Google. In 23:48 fact, rather than collecting my data, 23:51 why don't you just get it from Google? 23:53 They've already got it all. Okay. Okay. 24:02 So, this only has flux one and then 24:06 Hedra just had flux two. 24:10 Like there's our girl. 24:15 Oh, here's aspect ratios. But see, it 24:18 won't it it it does not honor the aspect 24:21 ratio. 24:30 Make this a wide image 24:35 of actress. 24:40 in three quarter view 24:45 with 24:49 LED screens. 24:52 Representing 24:54 a modern 24:57 news room. 25:02 Yeah, but I can't see. I can't select 25:08 aspect ratio. All right, so that 25:10 definitely doesn't work, which makes me 25:13 cranky. All right, so here we're going 25:15 to upload. 25:20 I like her. I need Kyle. Um, 25:24 do you have a bread maker that you would 25:26 recommend? 25:33 Oh, harsh weed. That is the best 25:35 question I've had all night. 25:44 Actually, you know what? 25:46 I I do harshed I do have a bread baker 25:49 I'd recommend. Watch this. We're go new 25:52 chat. We're going to go We'll do 03 mini 25:55 high. We're going to go deep research. 25:58 We're going to say, um, I want you to 26:03 create a, 26:06 um, 26:08 categorized 26:13 report 26:15 of three RECO 26:18 men 26:20 bread makers 26:25 in low, medium, and high price points. 26:33 You decide the criteria 26:38 and don't 26:40 mess it up. 26:45 There's 26:47 a stoned 26:49 dude who's munchies 26:54 depend on the answer. 26:57 [Laughter] 27:04 Which country or region? US. 27:08 Are there any preferred features? Um 27:15 uh flexible 27:18 loaf size 27:23 and should the 27:26 low do you uh you define ranges? Okay. 27:33 Tik Tok pin when you're done. Joy pretty 27:35 Kyle. I recommend you change your 27:38 actress character references to the 27:40 aspect ratio 27:43 you 27:45 wait you 27:48 want in the final. Will it put her on 27:51 different sides? 27:56 It's exhausting. Joy, 27:59 shouldn't these tools be magic? 28:03 I don't want to have to work. 28:06 Work is hard. 28:21 Don't forget about the critical question 28:23 of altitude. Oh [ __ ] Can I can I stop 28:27 it and put that in there? Oh, but I 28:30 don't know where where uh Harshweed is. 28:32 Oh, Harshweed. What? What? Uh 28:37 cuz I'm in Denver, so I'm a mile high. 28:41 Don't stop. We We'll just We'll let it 28:43 go. 28:45 Kyle, why are you on mini high? Cuz it's 28:48 good at doing thinky [ __ ] and it's 28:51 faster than 03. 28:53 Um I want to know the best AI 28:56 refrigerator to buy. 29:03 Oh my god. Okay. I just I you know 29:07 there's some nights I have patience for 29:10 AI jankiness and there's just some 29:12 nights this is one of them. 29:16 We are one one search away from becoming 29:18 a Tik Tok shop. Well actually so harsh 29:21 weed harsh high. What's the [ __ ] your 29:23 name? Harshw weed. I think one of the 29:25 reasons I wanted to do this in chat GPT 29:28 is chat GPT has incorporated 29:32 um a shopping uh a shopping API into 29:36 chat GPT. So when it recommends these 29:39 bread makers, it should give us links to 29:42 go buy them. 29:46 Elevation. Yeah, I know. All right. 29:50 [Music] 29:53 Context context 29:56 doesn't have aspect ratio choices in 29:58 fluxai.pro. 30:00 Okay. Kyle Shannon, the appliance king 30:02 of Denver. 30:11 Hi. You might know me from my famous Tik 30:14 Tok channel, the AI Learning Lab. But 30:16 what I bet you didn't know, I'm the 30:18 appliance king of Denver. Hi, I'm Kyle 30:21 Shannon. 30:23 [Laughter] 30:27 It was funny the other night I was on a 30:29 Tik Tok live and we were talking about 30:31 AI and someone asked me to do one thing 30:33 and then I was doing something else and 30:35 then someone else said, "Hey, can you 30:37 recommend a bread maker?" Funny enough, 30:39 I could. 30:47 I ache in my soul. 30:55 [Laughter] 31:00 It's only 1999. 31:03 Kyle, irregulars, please. Oh no. What 31:06 have I done? What have I done? 31:10 Or what have you done? What have you 31:11 people done? 31:13 You people 31:18 Is is this Flux Pro? 31:30 I I I feel I have been done a a ma major 31:34 disservice here. A major disservice. 31:38 This is not kind. This is really This is 31:42 seriously 31:44 paint modders in here. You You can't be 31:47 showing this this kind of 31:50 What is it? This is defamation. 31:52 [Laughter] 31:59 Oh my god. Bit of a time machine there. 32:03 Yeah, I know. It made me look so young, 32:06 those pictures. 32:12 Oh my god. 32:16 All right. So, Joy Party 32:20 being a buzzkill is like, "Kyle, stop 32:23 being lazy and just go change your 32:24 aspect ratio." And I'm like, "But Joy, 32:29 I don't mind. 32:32 It makes me cranky." 32:34 All right, fine. 32:37 Per Joy Party's strong recommendation. 32:43 [Music] 32:50 [Laughter] 32:52 [Music] 32:54 Does he always sing like this? This is 32:56 rather annoying. I thought this was the 32:59 AI learning lab. I thought we were going 33:00 to learn something here. 33:05 Dark. 33:06 dark green 33:10 background. 33:12 It's so funny. Last night I was all 33:14 talking philosophical and stuff. Tonight 33:16 I'm like, I'll do some work. And now I'm 33:18 starting to do work and I'm like I I got 33:20 no ideas in my head and I don't want to 33:22 work. I don't want to do this. I don't 33:24 want to have to deal with life. 33:29 It's just too much. It's too much. Too 33:32 much. All right, we're going to erase. 33:35 We're gonna We're gonna We're gonna 33:38 paint. We're gonna just Everybody calm 33:42 down. Everybody calm down. Everybody 33:45 calm down. This is not your fight to 33:48 fight. Dark green 33:50 gradient 33:53 background. 33:56 Styliz 300. Let's do styliz 50. We don't 33:58 want [ __ ] style. I don't want your 34:00 style. I don't want your stupid style. 34:02 Oh, it's probably because I had 34:03 personalization turned on. Listen, it's 34:06 not the point, people. 34:09 [Laughter] 34:13 I need that picture, Kyle. No, Mr. You 34:16 can't have Sydney. She's mine. She's 34:19 mine. You got to wait for her to be on 34:21 Broadway. 34:24 [Laughter] 34:28 Come to the AI learning lab. It's 34:30 educational and entertaining. We like to 34:32 call it edutainment. 34:35 TM. 34:39 So, listen. I will I will gladly gladly 34:43 Wait, did that not submit? It didn't. I 34:46 will gladly 34:49 admit 34:51 that there are certain nights on this 34:53 channel where no one should be subjected 34:56 to this. and and I I appreciate you all 34:59 more than you know. 35:05 All right, all of those are good. So, 35:07 let's let's upscale her to the gallery, 35:10 shall we? 35:12 And Joy Party's like, "See, Kyle, it 35:14 only took like 30 seconds." I look I 35:16 know 35:19 I know 35:21 but don't you understand how my brain 35:23 works once I get it in my head that I 35:26 should be able to start with a vertical 35:27 image and just tell it to make a wide 35:29 image and it should [ __ ] figure it 35:30 out because it's got all of the 35:32 knowledge of all of the history of 35:34 humanity. 35:36 That seems reasonable to me. 35:38 It's just it's just life is exhausting. 35:41 Life is exhausting. Have you guys tried 35:43 life? 35:45 It's a lot. It's a lot. It's a lot. All 35:47 right. There she is. She looks great. 35:49 No, Mr. It, you can't have her. 35:54 Is she working full-time? 36:04 I can't. Everyone is is is hitting on my 36:09 Sydney. I got I got to get her cast in 36:12 the role first. 36:14 Joy Pertie is trying to change her 36:16 aspect ratio. Mr. It is trying to date 36:19 her. I listen. You think this is easy 36:22 running a channel with all you weirdos? 36:25 We're not weird. We're regular. I know. 36:28 Well, what I' I've completely lost my 36:30 train of what I was doing. Where was I? 36:32 Oh, I was over in flux. Okay, 36:43 let's go back to Hedra. Let's go back to 36:45 Hedra, shall we? Okay, let's get rid of 36:49 this. We're going to get rid of her. Uh, 36:51 did I download her? 36:56 There you go. Screenshot it. Mr. It t 37:06 Life is exhilarating, but the 37:08 alternative is so final. I know, right? 37:12 Um, okay. So, there she is. We've got 37:14 this. Make this a wide image of the 37:17 actress. Three/4er view with Ellie's 37:20 modern newsroom. 37:23 Um, 37:25 okay. 37:29 Refresh irregulars, please. Fine, let's 37:32 go do that. Oh no, I have a feeling this 37:35 is not going to go well for me. 37:49 [Laughter] 38:07 It gave me one normal hand and one 38:09 Donald Trump hand. 38:18 Oh, good God. Who did this? Is this Who 38:21 did this? That's Brandon. That's 38:24 Brandon. What tool did you use? What 38:27 tool did you use? Embrace the jank. 38:31 GPT4. Okay. 38:36 What the heck is going on here tonight? 38:39 Leave you alone for 30 minutes. Oh my 38:41 god. 38:47 Oh, is that an AI refrigerator behind 38:50 him? Oh, let's go. Wait, where? Let's go 38:53 back to Hedra 38:56 and see if we got our Oh, there she is. 39:00 But wait, what was 39:03 Okay, so here's what I want to do now. 39:05 So So now let's let's put same image in 39:08 there. 39:11 Okay, 39:14 actress. 39:15 Let's see. Um wide 39:21 uh full 39:24 body 39:28 shot 39:30 of actress 39:35 on in the left 39:41 of the frame 39:43 in a 39:46 dark blue 39:48 LED lit dress 39:54 with 39:57 a 39:59 small home office 40:03 behind her. 40:07 And on the other side of the stage, 40:16 a huge 40:18 LED curved 40:21 screen 40:23 with a 40:26 chat conversation 40:28 that says, 40:33 "I love you. 40:35 I want you 40:38 to leave your wife. 40:42 Exclamation point. Okay. 40:47 Let's see if we can get uh what's it 40:50 called? Context. This thing uh flux 40:55 context. We'll see if we can get it to 40:57 do 40:58 what I'm hoping it can do. 41:04 Oh my goodness. My goodness. Glory. My 41:07 glory. Goodness. 41:09 Oh lordy. I thought it was Hedra. I'm 41:14 spelling it wrong. Yeah. Sorry. Uh yeah, 41:17 it's H E D R A. I've been pronouncing it 41:20 Hedra, which I think is right, but then 41:23 people that work there call it Hedra. 41:26 And so again, if these companies would 41:29 just hire 41:32 I love you. I want you to leave your 41:34 wife. All right. Well, that sort of 41:37 worked. 41:40 But wait, didn't I say 41:43 in a dark blue LED lit dress? 41:47 That is dark blue, but it's not LED lit. 41:50 This is Yuddio all over again. It really 41:53 is. 41:56 Um, 42:04 yeah, I gotta I gotta 42:07 You might need to say extreme wideshot. 42:09 I know. This will definitely be one to 42:12 rewatch on YouTube. I don't think there 42:15 Rick Olsen, I don't think there is 42:17 anything. So far, there has been nothing 42:20 on here other than me whining. If you 42:23 want a lesson in how to be an ingracious 42:27 um incompetent 42:30 host of a semi-educational channel, 42:33 tonight is the master class. If you 42:36 wanted to actually learn anything, I you 42:39 there's I'd go back a couple of days. 42:47 Oh, good lord. All right. Whatever. I 42:50 just 42:55 I've got no patience. I've got no 42:57 patience for the jank tonight. I tell 43:00 you all to embrace the jank and that's 43:02 that's on me. That's on me. I shouldn't 43:05 have done that. It's a lot of pressure 43:07 to put on yourself. 43:11 Flux context T2 43:15 T2i. 43:23 Um, 43:29 describe 43:31 the difference 43:33 between 43:36 flux 43:39 context, 43:44 T2, max, 43:47 and pro. See, it seems to me 43:52 if you're going to name something 43:55 with sort of a naming convention, 44:00 you shouldn't have the modifiers both be 44:02 like the best. Like max is the top and 44:05 pro is pro. Like what's above pro? 44:08 Nothing. Below it is amateur 44:11 or is normal. 44:14 I don't I I 44:22 Pro fast max max maximum fidelity. 44:28 All right. So, let's go back here. 44:32 Max maximum fidelity. 44:34 All right. 44:37 Let's see. 44:47 I know. I just don't care. I don't care. 44:49 It You know what? You know what's 44:50 happened tonight? You You caught me. I 44:53 finally I I I have been broken. I have 44:56 been shattered by the jank. The jank has 45:00 caught up. 45:03 It It has shut down any of my desire 45:07 to to figure this [ __ ] out. 45:12 It happens. 45:14 All 45:15 right, let's go to Gemini. Let's go have 45:17 some fun with Gemini, shall we? All 45:20 right, Gemini Pro. 45:23 All right, what are we going to do here 45:25 that would resemble 45:30 research with your own files? Uploaded 45:32 files for more tailored research 45:35 results. Okay, 45:42 let's see. 45:46 um 45:49 research. 45:51 This is something that always 45:53 freaked me not didn't freak me out. This 45:55 was always something I couldn't actually 45:57 understand and I don't understand how 46:00 people who are not in the industry 46:01 understand this. So, here's what we're 46:03 going to research. I'm going to research 46:06 house paints. 46:10 Um, 46:15 and I want to understand 46:20 why 46:22 some are 46:24 so cheap. Well, no, some are 46:28 so much more expensive. I want you to 46:34 find 46:36 the sweet spot 46:39 of cost 46:41 versus quality and explain why. 46:46 Um, let's 46:48 uh 46:50 let's do this for latex 46:55 interior paints. 47:00 I want you to label 47:06 which ones are the garbage brands which 47:12 should be avoided 47:16 and why. And which 47:20 ones 47:22 are just 47:26 for 47:28 stupid 47:29 rich people 47:32 who can't 47:35 figure out 47:37 how to spend 47:40 their money. 47:43 So they spend 47:47 $600 47:50 on a gallon 47:52 of paint. 48:00 I got to tell you, when you're salty, 48:04 when you're when when you're a little 48:05 moist, the air conditioner's not 48:07 working, your AI's janky, you're a 48:10 little just pissed off at the world. Uh, 48:13 having a smarmy attitude is 48:15 entertaining, at least for me. Pate pin. 48:19 Kyle, you've done so much with canvas um 48:23 for little web apps. Wonder how that 48:26 compares. 48:30 Oh, here. Yeah. Yeah, we should we 48:32 should do Oh, that's actually a good 48:34 idea. Can I do both? No, 48:38 let's do the research first. You know 48:40 what we'll do, Pate? We'll do the deep 48:42 research. So, so the little Gemini 48:44 little Gemini uh party here. We'll do 48:48 the deep research 48:51 and then So, so let's see. I want you to 48:57 write the report to be accurate and 49:03 informative, 49:05 but 49:07 as if it were written by a hilarious, 49:15 bitter, stand up comic like Bill Burr or 49:22 Tom Sig. 49:23 Gura. 49:25 Uh or uh what's his name? Uh the [ __ ] 49:29 his name? 49:31 Uh I can see him. 49:34 Uh 49:36 oh my god, it keeps going out of my 49:37 head. In in out of my head. I I hate 49:39 getting old. Getting old sucks. By the 49:41 way, if you're um not old, um don't. 49:46 Okay. Um Okay, go. So, this is going to 49:49 go off and do that. Now, let's go see if 49:51 we've got a bread maker recommendation. 49:53 All right. Hey, Kyle. Yes. Uh, so two 49:56 things. One, um, you it's going to 49:58 prepare a plan, and you have to activate 50:00 that plan on 50:04 Oh, I have to I have to tell it. It's 50:06 going to think. Yeah, it's going to it's 50:08 going to come up with a plan. You can 50:10 edit that plan and before it goes off 50:12 and uh does its thing. Also, 50:16 uh it would take a little uh squirrel 50:20 moment here. Yes. Um back to uh your 50:23 side hustle as uh the appliance king of 50:26 Denver. Yes. Yes. I don't I don't know. 50:29 Not many not that many people knew that 50:31 that I I did work for an appliance 50:33 company, but you know, I guess it's 50:35 going to come out at some point. 50:38 Oh no. What did you do? 50:41 From A to I. 50:44 Embrace the jank. 50:49 From A to I. 50:52 Embrace the jank. Oh, good lord. 50:58 Where'd you do that? Is that That's V. 51:01 That's V3. Since it's a Gemini night, 51:04 did you do image to image to uh image to 51:08 video? No, it couldn't do image to 51:10 video. So I had chat GBT describe your 51:14 picture in explicit detail and then I 51:16 gave prompt that's in a regulars for 51:19 anybody who wants it. Okay. All right. 51:21 So our paint research is happening. 51:24 Great. And then yeah paint. So what 51:26 we'll do is we'll take the the the 51:28 research of this and we'll turn this 51:30 into a hilarious 51:32 web application 51:34 like a a a paint selector dashboard. 51:38 It'll be it'll be fantastic. But more 51:40 importantly, 51:42 um, wellbaked. What's his name? Forever 51:45 baked. Forever harsh weed. 51:49 Forever baked. Thought for 12 seconds. 51:51 Here's a side by side. Oh, those are the 51:53 two flux context. Okay, here we go. 51:56 Bread machines. 52:01 Tik Tok pin. my high appliance guy. 52:10 Okay. Top bread makers by price tier, 52:13 budget, mid-range, and high-end. 52:16 All right. Budget tier for under hundred 52:18 bucks. The Oster Express Bake 2 lb 52:22 baker. It's got loafsize flexibility, 52:25 which is one of the things I requested. 52:28 But now, wait, why does this not have 52:30 shopping? 52:32 Maybe I've got to do it. Um, let me go 52:35 back to GPT40. 52:38 Um, 52:41 give me a a set of shopping 52:47 links 52:49 for 52:51 the recended 52:56 or mented 52:57 bread makers. 53:00 Why did it not do that? Maybe because I 53:02 was in four 04 mini high. 53:06 Yeah. See, look what it does. 53:13 Wait, the mid-range favorite is $123. 53:19 Was that right up here? 53:26 The Oster Express bake 53:30 was the budget pick and it's more than 53:31 the Quez and Art Compact. 53:34 And then the Zo Jurishi 53:37 Bakery Virtuoso, 53:40 high-end performance. More bread for 53:42 your buck. That Quezin Art looks like a 53:44 [ __ ] deal. 53:48 But I don't know if you knew this, but I 53:50 guess I guess you can't do it with 04 53:52 mini high, but chat GPT40. 53:55 You get shopping 53:57 links. 53:59 You go buy [ __ ] 54:03 or you can't. 54:05 Can you? 54:08 No. 54:14 I I hate the internet. I ate it. By the 54:18 way, if you're new here and you're 54:20 trying to figure out, hey, is this AI 54:24 stuff anything? You've got a channel 54:27 called the AI Learning Lab. Maybe you 54:29 could give me an opinion on the value of 54:31 AI. Um, don't waste your time. It It's a 54:34 fad. It's a fad. It's like NFTTS. It's 54:37 It's It's going to go away soon. It's 54:39 going to go away soon. I I I don't like 54:42 it. 54:45 Can we get an irregulars discount from 54:48 the appliance king? No. No. If you're an 54:50 irregular, I charge you double for your 54:52 appliances. 54:59 Oh man. All right. What's going on over 55:02 here? Slow thinking 55:05 sites browsed. Oh, look at all the sites 55:08 it looked at for all the paint paint 55:11 comparisons. 55:13 What will they think of next? I stopped 55:16 using my coffee thermos because it kept 55:19 it too hot. Wild. Wow, that's wild. 55:24 Can I tell you something? I was given a 55:27 uh a Yeti 55:30 coffee thermos thing, like a you know, 55:32 like a 32 oz or something like that. No, 55:35 it was it wasn't that big. It was like a 55:37 24 oz. 55:40 And I I had it with me every day for 55:42 like I don't know three months. And then 55:44 one day it just I couldn't find it at 55:47 work. I couldn't find it at home. It's 55:49 gone. I don't know what I did with it. 55:52 So I I've been without a thermal. 56:00 Paint works at Google. 56:04 Let's see. Deconstructing paint 56:06 ingredients. 56:08 Connecting ingredients to quality and 56:10 cost. Brand analysis and price tiers. 56:14 Researching websites. 56:18 God damn, that's a lot of websites. It 56:20 looked at deep dive into paint 56:22 chemistry. This is what we need. You see 56:26 what I'm saying? 56:28 Because when I go into like 56:31 Walmart and I look at the paints, I'm 56:34 like, well, these paints are probably 56:36 fine. But like if you buy anything else 56:38 at Walmart, it's not fine. It's crap, 56:41 right? 56:42 But then you go to like the Home Depot 56:44 and you're looking at paints and they're 56:46 like, "That'll be $167 a gallon." And 56:50 you're like, "Who do I hit in the head 56:51 with the paint can?" No. No. I would I 56:55 would rather my [ __ ] just rot and fall 56:57 apart than spend $167 on stupid paint. 57:02 And so you go back to Walmart and you 57:04 get the one for $27. You're like, I'm 57:06 the man. And then you try to paint with 57:08 it and it's like painting with Elmer's 57:11 glue with with with paperiermâché 57:13 shredded into it. 57:17 I don't know. I don't know. 57:20 I'm also saying this like I have a lot 57:22 of paint projects. 57:24 I think 57:26 in the past 10 years 57:29 I painted the front porch of this house 57:31 and the back porch of this house two 57:33 years ago and it's already flaked off 57:36 cuz I don't know paint. 57:40 And 57:42 I feel like I should still be given a 57:44 [ __ ] award for that. 57:47 But no one cares. They don't care about 57:51 my plight, 57:53 my toil. 57:57 Create something new based on this, like 57:59 an audio overview, web app, or timeline. 58:02 Hey, Pate, this is pretty cool. 58:05 It rolled under your car seat, Kyle. It 58:07 actually might have rolled under my car 58:09 seat, Dr. J. Now that I think about it, 58:12 I have not looked there. 58:14 Oh, if Dr. J's got it. She's going to 58:16 get a She's going to get a a cookie. 58:20 But look what this did, Pate. This is 58:22 cool. It said It said, "Okay, here's 58:25 your stupid uh thing." 58:28 So, you want to paint a wall, a guide 58:30 for the confused and annoyed, 58:35 but it said build on top of this. So, 58:36 we're going to create we're going to 58:38 create a web page. 58:41 Okay. Describe your own app. 58:46 Um, 58:48 I want this to be 58:52 an interactive 58:55 web app 58:57 that allows 59:00 user to 59:04 first get the 59:07 highest quality paint for the 59:13 most reasonable 59:16 price 59:18 and then select 59:23 the color of their 59:27 dreams. 59:29 Boom. Okay, so that's going to go off 59:31 and write [ __ ] But I bet I'm going to 59:33 lose. Wait, let me export this quick. 59:35 Export to docs. Come on, you can do it. 59:41 This is add multitasking where where I 59:44 fired off one web request and then fired 59:47 off another one 59:49 because I didn't want to lose my first 59:51 one. Um, wow. This is a 17page report on 59:56 paint quality. Oh, most of its 59:58 citations. Okay, let's go. Let's go look 1:00:01 at this bad boy. 1:00:03 [Music] 1:00:05 A cynic's guide to not being fleeced. 1:00:14 things started lagging out. Missed some 1:00:16 of that. Oh, um I it just I was over in 1:00:21 in Gemini doing stuff. Okay, so now it's 1:00:23 writing code. 1:00:26 Oh, the no BS painter. Step one, buy the 1:00:29 right can of goo. 1:00:32 Um Benjamin Moore Regal Select 78 to 90 1:00:35 bucks. Sherwin Williams duration a solid 1:00:38 number two. Okay, wait. Benjamin Moore 1:00:40 Regal Select. That's it. The holy grail. 1:00:43 It has phenomenal coverage. It's tough 1:00:46 as nails and it won't make you want to 1:00:48 throw your roller out the window. It's 1:00:50 95% of the performance of the crazy 1:00:53 expensive stuff for a price that won't 1:00:56 require a second mortgage. Just buy 1:00:58 this. I'm convinced. Let's pick a color. 1:01:02 Oh, come on. 1:01:06 Did Why did you not work? 1:01:14 [Laughter] 1:01:19 The paint is great. The room looks bad. 1:01:21 It's officially your fault. No pressure. 1:01:23 Click here to see the wall of shame. 1:01:25 Seriously, avoid this crap. 1:01:28 Cheap big box store brands. Valpar, 1:01:31 Glidden, and Bear. You're buying water. 1:01:34 They skimp on the good stuff. Titan 1:01:36 titanium dioxide, 100% acrylic binders, 1:01:40 and load it with cheap fillers. The 1:01:42 result, you'll be painting three or four 1:01:44 or five coats, hating every second of 1:01:47 it. It won't send you money. And don't 1:01:49 buy contractor grade paint. It's chalky, 1:01:52 has zero durability, and it scuffs. 1:01:56 All right, 1:01:57 I'm going to say, "Hey, Gemini, none of 1:02:01 the buttons 1:02:05 work." And the color 1:02:08 picker 1:02:12 doesn't seem to work 1:02:17 either. 1:02:19 Um, 1:02:22 either I have 1:02:25 a senior 1:02:27 Google 1:02:29 tensor 1:02:33 chip optimizer 1:02:37 optimizer 1:02:39 watching 1:02:42 you code this 1:02:47 and if you mess 1:02:50 it up 1:02:52 he will likely not have his job much 1:02:58 longer. 1:03:00 Save Pate's job. 1:03:07 I'm doing a little I'm doing a little 1:03:09 prompting. I'm doing a little prompt 1:03:11 engineering. 1:03:13 It's it I'm doing prompt comedy. 1:03:17 So, there's prompt engineering. I'm 1:03:19 teaching a new methodology called prompt 1:03:20 comedy, which is yell at your GPT, tell 1:03:24 it it's a piece of poo, tell it's a dumb 1:03:27 dumb, um, threaten it that someone's 1:03:30 going to lose their job if they don't 1:03:32 get the application right, and let's 1:03:34 save Pate's job. I think it's fair. I 1:03:36 mean, Pate gives a lot to this 1:03:38 community. You're welcome, Pate. I don't 1:03:41 know if technically I'm senior staff or 1:03:43 not. I might be, but I'm not sure. Yeah. 1:03:45 Don't you don't you get some sort of 1:03:47 level? Like, aren't aren't you like a 1:03:49 level 17 or a level 12? Doesn't Google 1:03:52 have some sort of militaristic level 1:03:54 thing? 1:03:59 Oh man, a buddy of mine just got booted 1:04:01 from Google. Sucks. 1:04:04 Oh, let's see. I got called in from the 1:04:07 bar once. Um, okay. The no BS painter. 1:04:12 Does this work? No. 1:04:16 I'm convinced. Let's pick a color. Click 1:04:18 here to see the wall of shame. All 1:04:20 right. How do we do the color picker? 1:04:21 Oh, yeah. But that No, and that's all 1:04:25 it's all it's doing is putting Look at 1:04:28 Look what it's doing here. That's 1:04:30 [ __ ] hilarious. 1:04:33 You pick a color and it just it just 1:04:35 colors the whole photo. It doesn't 1:04:37 actually change out the wall. 1:04:44 Oh yeah, janky is as janky does. But it 1:04:47 did make us a web app. Uh, 1:04:52 actually, you know what? Let's go. Let's 1:04:54 go try something. Let's go. Say, 1:04:57 um, 1:04:59 let's go. Listen, dum dum. 1:05:02 Listen, dum dum. 1:05:05 Um, 1:05:07 you only have 1:05:09 two recommended 1:05:13 paints. 1:05:15 Can't you 1:05:18 go research the actual 1:05:23 colors I can buy 1:05:28 and 1:05:30 then have me select 1:05:34 one or the or or or 1:05:39 the other paint and 1:05:42 and show me the colors 1:05:49 from the real paint store. 1:05:53 Also 1:05:56 just shifting 1:05:59 the 1:06:02 hue 1:06:04 on the fake wait the hue 1:06:08 on the fake living room is creative but 1:06:16 a bad solution. 1:06:22 Oh, you could have made an audio 1:06:25 overview for it. Deep research. Oh, 1:06:27 yeah. I wonder if I can go back. I 1:06:28 probably can. So, if I go So, that's 1:06:31 going to be doing its thing. Paint cost 1:06:34 versus quality. 1:06:38 Oh, yeah. It's up here. Is the canvas. 1:06:40 Okay. All right. So, now it's gonna 1:06:44 Okay. Let's see. 1:06:48 Hey, Paint. I found a bug. 1:06:51 When it's writing code, you can't scroll 1:06:54 up in your chat window. Could you tell 1:06:57 the people that make this Gemini thing 1:06:59 to fix that? Pate be nice if it were 1:07:01 done by like Thursday. 1:07:05 Kyle needs to build a date picker that 1:07:08 shows the person's true colors. 1:07:14 Oh, good lord. 1:07:17 All right. Step one, pick your paint. 1:07:28 The toy Toyota Camry of paint. It's 1:07:30 fine. It won't let you down, but it 1:07:31 won't excite you. The supercar of 1:07:34 paints. Emerald. Fantastic. 1:07:40 Yeah, that's not working. All right, 1:07:41 let's go back up here. Let's go back to 1:07:44 our canvas. 1:07:47 Is this the canvas? 1:07:50 Ready in a few minutes. Start research. 1:07:52 Open. 1:07:54 All right. Export. No. 1:07:58 Create audio overview. 1:08:01 Actually, this audio overview should be 1:08:03 really good. Super late. What did I 1:08:06 miss? Oh, Gareth. It has been an epic 1:08:09 night of 1:08:11 me 1:08:13 not only failing miserably, but failing 1:08:16 early and often and having no patience 1:08:21 for failing. 1:08:23 So, it's really just a it's like a 1:08:26 master class in whining. 1:08:32 Yeah. 1:08:37 is pretty much what it is. 1:08:41 I love you and I want Why Why does she 1:08:44 look so weird? 1:08:47 All right. I've been playing around with 1:08:49 Claude's 1:08:51 basically vibe feature making silly 1:08:53 things. Yeah, that's pretty cool. Yeah, 1:08:55 Claude's Claude's pretty good. Chat GBT 1:08:57 is pretty good. It looks like Gemini is 1:08:58 pretty good at this stuff. 1:09:01 I don't What model was I just using in 1:09:03 Gemini? I was using 2.5 Pro. 1:09:08 Math and code. Flash is fast for 1:09:10 allaround help. 1:09:12 All right. 1:09:16 This thing didn't work. Like none of 1:09:18 these hyperlinks actually hyperlink 1:09:20 anywhere. 1:09:22 The little buying links. Nothing there. 1:09:24 Can't go buy. 1:09:27 Ask about this. 1:09:30 Yeah, that's not good. 1:09:35 Danielle made a picture of me that then 1:09:38 look Danielle did this. This is what you 1:09:41 missed, Gareth. 1:09:45 [Laughter] 1:09:49 So, same as most nights. Exactly. 1:09:52 Exactly. It's just a normal night here 1:09:54 at the AI learning lab. 1:10:01 Oh, refresh your regulars, please. Oh 1:10:04 no. What have you done? What have What 1:10:06 are you people doing to me? 1:10:09 You're soiling my reputation. 1:10:14 Who is that? Wait. Made with Flux 1:10:16 Context Pro. I don't know this man. 1:10:24 There's Danielle out on her out on her 1:10:26 third date with a guy. She can't 1:10:29 remember his name, but she doesn't want 1:10:31 to admit it. 1:10:33 [Music] 1:10:37 Hey, Kyle. Yeah. While you're here, if 1:10:40 you go down one post Uhhuh. Um, I made 1:10:43 you a little something. Uh, wait. Scroll 1:10:46 up. Appliance king. No, no, two more. 1:10:49 Nope, not that one. The next one up. 1:10:51 That one. Yeah. 1:10:59 Don't Don't just play it. There's more 1:11:02 after suno had to get I had to get some 1:11:05 suno action in on this. We have 1:11:07 appliances from a to I 1:11:12 embrace the janky. 1:11:17 [Music] 1:11:27 Okay. Y'all, y'all really, y'all really 1:11:30 need to take some vitamins tomorrow. 1:11:33 This is Listen, everyone's blood sugar 1:11:35 is low. All right, everyone's blood 1:11:38 sugars low. Let's There will be no 1:11:40 judgment tonight. There'll be no 1:11:42 judgment tonight, but there might be 1:11:43 lawsuits tomorrow. Okay, 1:11:51 that flux is about to end some 1:11:53 relationships. Yeah, really right. Oh my 1:11:56 god. 1:11:58 Oh. Oh, good lord. Where where were we? 1:12:03 Wasn't I somewhere? Was Oh, I was at 1:12:05 Gemini. Oh, look. Okay, we have a six 1:12:08 minute. This should be good. Let me let 1:12:10 me change out my my tabs because I'm a 1:12:13 responsible tab sharing member of 1:12:15 society. Unlike Brandon who never tells 1:12:19 me to do this, I always have to remember 1:12:20 it myself. Okay, here we go. Okay. Have 1:12:24 you ever stood there in the paint aisle 1:12:26 just completely lost? I mean, rows and 1:12:29 rows, all these claims, prices from like 1:12:31 $25 up to what, $150 a can. You feel 1:12:35 like you're about to get totally 1:12:36 fleeced. You just want paint, but it 1:12:38 feels way too complicated. So, this deep 1:12:41 dive, we're going to rip the lid off the 1:12:43 paint can, so to speak. We'll break down 1:12:45 the uh the grift, maybe, and figure out 1:12:48 what really matters when you buy paint. 1:12:50 Okay, let's unpack this. Right. And the 1:12:52 first thing to get is that pretty much 1:12:54 all latex paint, the cheap stuff, the 1:12:56 expensive stuff. It's got four basic 1:12:57 things inside. You've got pigments, 1:12:59 binders, liquid, and additives. That's 1:13:02 it. The huge difference in price, and 1:13:04 yeah, how well it actually works? That 1:13:06 all comes down to the quality and the 1:13:07 amount of those ingredients. Okay. So, 1:13:09 what are those key things? What makes 1:13:11 one paint actually worth, you know, the 1:13:13 extra money? Where do we start? Let's 1:13:15 start with pigments. Pigments give paint 1:13:17 its color, obviously, but also its hide. 1:13:20 That's its power to cover up whatever 1:13:22 color was there before. And the absolute 1:13:24 king of hide is titanium dioxide. Uh 1:13:27 TO22. It's just brilliant at scattering 1:13:30 light. Gives you that bright white base 1:13:32 and fantastic coverage. Ah okay. So the 1:13:35 cheaper paints 1:13:37 they skimp on that. Is that the main 1:13:39 trick? That's a huge part of it. Yeah. 1:13:41 Cheaper paints will often swap out that 1:13:43 pricey TIO2 tutors for things called 1:13:46 extender pigments or fillers. think um 1:13:49 ground up limestone, things like that. 1:13:51 It bulks up the paint, but it doesn't 1:13:52 really cover it. Makes it more 1:13:54 transparent, kind of watery. Right. 1:13:56 That's why sometimes you buy cheap paint 1:13:57 and it feels like well, like you're 1:13:59 painting with slightly colored water. 1:14:01 End up doing three, four, sometimes even 1:14:03 five coats just to hide the old color. 1:14:05 Exactly. It's incredibly frustrating. 1:14:06 And then there's the binder. That's 1:14:08 okay. One of the things it didn't get 1:14:10 and I didn't actually, you know what? 1:14:12 Let's try something. Create 1:14:16 audio overview. Let's see. Describe your 1:14:18 own app. 1:14:21 Can I not describe? Let me let me see. 1:14:23 Um, 1:14:26 make this audio overview like 1:14:31 two bitter 1:14:33 comedians 1:14:36 on 1:14:38 a podcast. 1:14:41 Audio overview. I wonder if it took that 1:14:44 prompt. 1:14:49 You can leave this chat in the meantime. 1:14:51 All right. 1:15:06 No, I know. But normally with audio 1:15:09 overviews, like if you're in Notebook 1:15:11 LM, 1:15:13 um, and you create an audio overview, 1:15:15 you can give it you can give it 1:15:16 direction. So I assume they let me do 1:15:18 that here. But if not, probably not. 1:15:20 They probably didn't because tonight 1:15:24 like the the thing the way it should 1:15:26 work, it's not working. Why? Because 1:15:28 Google chose not to have some bitter Gen 1:15:32 Xer sitting in the corner office that 1:15:34 just looks at the apps and goes, "Uh, 1:15:36 no. 1:15:37 No, no, no, no. This No, this can't go 1:15:41 out. You You got to be able to fix click 1:15:44 the thing to put in the description of 1:15:47 the audio podcast like we do over in 1:15:49 Notebook LM. Have you seen the other 1:15:51 product? Oh, that's a different 1:15:52 division. Yeah. Not to your customers. 1:15:56 It's not. Okay. They're going to be 1:15:58 looking at these things and expecting 1:15:59 them to behave similarly. They don't 1:16:02 give a [ __ ] about your corporate 1:16:03 boundaries, your level 17 seniority 1:16:07 matrix flat hierarchy report 1:16:12 structure. 1:16:14 They just want to know, can I get my 1:16:16 podcast to sound like 1:16:19 comedy? 1:16:21 No. No. All right. Well, I'm going to go 1:16:24 to bed then. 1:16:31 I don't know what to tell you people. 1:16:33 Listen, listen. I know you came here 1:16:36 expecting insights and and brilliance 1:16:39 quite frankly. 1:16:43 I really wondered how silent they are. I 1:16:45 would lose my mind. Yeah, I know. I 1:16:48 know. Corporate corporate structures are 1:16:51 weird, man. They're weird. I do I will 1:16:55 say this. I know I don't usually say 1:16:57 good things about Google, but but you 1:17:00 know, because Pate was here, at least. I 1:17:01 don't know if he's still here. Um, 1:17:04 I will say that 1:17:07 Google in the past two months 1:17:10 are starting to tighten up some of their 1:17:12 their product chaos, right? They're 1:17:14 they're starting to migrate features 1:17:16 into Gemini, and they're starting to 1:17:18 actually not only announce really cool 1:17:21 things, but launch them that we can go 1:17:22 play with. That's new from them. The 1:17:25 past two years have been really really 1:17:27 shitty. Their their product strategy has 1:17:29 been abysmal, but it's getting it's 1:17:31 getting uh it does seem to be improving. 1:17:33 So, someone over there got a promotion 1:17:36 and said, "Uh, hey, let's get everyone 1:17:38 in the same room here and you know, just 1:17:41 go around the room. There's 674 people 1:17:44 in the room." And just everyone say what 1:17:46 project you're working on. I'm working 1:17:48 on Gemini 2.5 Flex Light Pro Max. I'm 1:17:53 working on Gemini 6.2 2.3.4.5 1:17:56 May of 2024 minor 1:18:01 and then you know someone was in there 1:18:03 and they're like okay you guys go work 1:18:04 together just turn that into one thing 1:18:07 you guys go put that in Gemini oh we 1:18:10 weren't told to do that well you're 1:18:12 being told now just go just 1:18:21 it was paint promote hate. Oh, I'm going 1:18:24 to experiment with putting onboarding 1:18:26 into Notebook LM podcast. Oh, that's 1:18:28 actually a great idea. That's a great 1:18:31 idea. Source Camp. Source Camp, one 1:18:34 piece of advice with Notebook LM. Um, 1:18:40 just generate 10 of them and download 1:18:42 them all because sometimes Notebook LM 1:18:46 will do like a five minute one, 1:18:47 sometimes it's like 15 minutes. 1:18:49 Sometimes it completely misses the 1:18:51 point. So just like generate a bunch of 1:18:54 them, but download them all. And what 1:18:56 you'll what you may end up doing what we 1:18:58 did with the Sydney podcast was I think 1:19:02 I generated nine of them and then I 1:19:05 ended up editing like the beginning of 1:19:07 one, the middle of the other, and the 1:19:09 end of the other one. So it's a it's a 1:19:11 Frankensteined thing that was put 1:19:13 together. 1:19:16 Oh man, 1:19:18 I can always count on a good laugh when 1:19:20 I'm here. And these days I need that. 1:19:22 Nice. So for me, tonight was a win. Oh, 1:19:24 that's good. Whether you intended it or 1:19:26 not. Yeah. Sometimes it's just it's just 1:19:29 uh everything's so ridiculous that that 1:19:32 There you go. All right. Here. Look. 1:19:34 Paint lies. Paint lies and dollar signs. 1:19:37 Let's see if this gave us a comedy 1:19:40 overview. Okay. Have you ever found 1:19:43 yourself just like standing frozen in 1:19:45 the paint aisle, totally overwhelmed? 1:19:47 Oh, yeah. You see hundreds of colors, 1:19:49 all these confusing terms, and uh prices 1:19:52 that go from maybe $25 all the way up to 1:19:56 $150 a can. It makes you feel like 1:19:58 you're about to get fleeced. Definitely. 1:20:00 You just want to paint a room. Exactly. 1:20:01 You just want to cover a wall, but it 1:20:03 feels like you need a PhD to figure out 1:20:05 what you're actually buying. Well, in 1:20:07 this deep dive, we're going to rip the 1:20:08 lid off the paint industry. We want to 1:20:10 deconstruct the um the grift, if you 1:20:14 will, and show you what really matters. 1:20:16 Okay, let's unpack this, right? And the 1:20:18 first thing to get your head around is 1:20:19 that pretty much all latex paint. Yeah, 1:20:22 the common stuff has four basic things 1:20:24 in it. Pigments, binders, liquid, and 1:20:27 additive. Four things, you know. All 1:20:30 right. So, listen. I'm going to go. I'm 1:20:32 going to get out of here. But here's 1:20:33 what I learned tonight. I learned a 1:20:35 couple of things. Um, 1:20:40 deep research is really cool. If you 1:20:43 haven't been playing with deep research, 1:20:44 just even a web search is pretty cool. 1:20:47 But like the ability to go out and yes, 1:20:50 you could Google how do they price 1:20:52 paints and how do you tell a good paint 1:20:54 for a bad paint, but you'd have to read 1:20:56 that [ __ ] And just the idea of like 1:20:58 just being able to not know anything 1:21:00 about something and now I know know 1:21:02 something about it is pretty [ __ ] 1:21:03 cool. So that was good. 1:21:05 um flux context does look like it's 1:21:09 pretty remarkable, but it requires a lot 1:21:12 of thought and prompting. And so my goal 1:21:15 for 2025 use not using my brain, I we're 1:21:18 going to have to do we're going to have 1:21:20 to do a a flux context 1:21:23 chat GPT prompting session to get some 1:21:27 prompt structures to take over to it 1:21:31 doesn't matter. I I know what I need to 1:21:33 do. All right, I learned some things 1:21:35 tonight. And then, you know, because I 1:21:38 was frustrated, maybe somebody left. 1:21:40 Okay, tomorrow 1:21:42 I got a podcast with Ann Murphy and 1:21:44 myself. We don't have a guest tomorrow, 1:21:46 but Ann and I both are working on new 1:21:50 frameworks. Mine is the feed your prompt 1:21:52 framework, and I think she's got one, 1:21:54 too. So, tomorrow's podcast is just 1:21:56 going to be Ann and I talking and kind 1:21:58 of reacting to each other's uh 1:22:00 frameworks, which is good because I will 1:22:03 absolutely heckle her, right? She's 1:22:06 going to be putting it out there like 1:22:08 here's my thing and here's my thought 1:22:09 behind it. And I I think what I'm just 1:22:12 going to do is like midway through it 1:22:13 just go. 1:22:16 Right. And then like just see if she 1:22:17 gets flustered. 1:22:20 And then at some point, I think what 1:22:22 I'll do is I'll explain her framework 1:22:25 back to her in a way like she couldn't 1:22:29 possibly understand what she just said, 1:22:32 right? Like don't you think that would 1:22:34 be kind of supportive of her to like 1:22:36 really explain it to her what she just 1:22:39 told me? I like that's just that's just 1:22:41 my instinct right now. So, I think 1:22:43 interrupt her with with negative 1:22:45 sentiment, you know, while she's sharing 1:22:47 it and then and then explain it back to 1:22:50 her as if she didn't understand it. So, 1:22:53 that that should be like 45 minutes and 1:22:57 then I'll I'll share mine. All right. 1:23:01 Okay. Fantastic. So, that's at 400 p.m. 1:23:03 Mountain time. That's 3 p.m. Oregon time 1:23:05 where Ann is, where Ann will be crying. 1:23:08 Um, 1:23:10 and yeah, it'll be good. And then what 1:23:12 else? Oh, AI Life Hacks is also 1:23:15 tomorrow. 7:30 Eastern time tomorrow. So 1:23:18 5:30 Mountain, 4:30 Pacific, AI Life 1:23:22 Hacks, go to the AI salon, go to events, 1:23:25 and then 1:23:29 I bailed on the appliance king song. And 1:23:31 it gets better 30 seconds in. I can't do 1:23:33 it. I don't My my my ego is too fragile 1:23:37 tonight. 1:23:39 Oh, it's only a 30 second song. Okay. 1:23:44 Oh, lordy. 1:23:48 Hang on. I gotta go. I gotta go. Uh, 1:23:52 whatever you call it. Change my tabs 1:23:54 again. 1:23:57 [Music] 1:24:04 Who's they? Who's who's sponsoring 1:24:07 tomorrow? Oh, the Denver appliance. 1:24:15 We have appliances from A to I. 1:24:19 Embrace the jank. 1:24:23 Need a fridge or a bread maker. 1:24:27 Kyle Shannon's got the deals for you. 1:24:30 From a to washers that singer'll 1:24:36 [Music] 1:24:50 adore. 1:24:51 [Music] 1:24:55 We should have a Kyle roast. I'm pretty 1:24:57 sure we're in the middle of it. 1:25:08 Okay. All right, people. Well, can't say 1:25:12 can't say we didn't all have fun 1:25:13 tonight, can we? Well, no, we can we can 1:25:16 we can absolutely say we didn't have fun 1:25:18 tonight. We can we can definitely say 1:25:21 that. Oh my god. Paint pin. Uh the paint 1:25:26 pin's gone. 1:25:28 Yeah, we have a Kyle roast five nights a 1:25:30 week. Yeah, that's called the Tik Tok 1:25:31 channel. AI was a mistake. Exactly, 1:25:33 Pate. That's I'm I'm with you there 1:25:35 tonight. I think I think what what we 1:25:38 can all conclude tonight is that AI is a 1:25:42 fad. It's not going to change anything. 1:25:45 Um it will not it will not stop 1:25:47 hallucinating. Gary Marcus was right. 1:25:50 And just this [ __ ] doesn't work. All 1:25:52 right. Anyway, good luck with whatever 1:25:55 you figure out what to do next. Uh, you 1:25:58 know, maybe it'll be I I don't know. Uh, 1:26:01 uh, hey, you know what could come back? 1:26:02 Augmented reality, you know, uh, 3D 1:26:05 worlds in glasses, but mixed with the 1:26:07 real world, right? Not the metaverse, 1:26:10 the the augmented verse, right? I think 1:26:13 that could be big. 1:26:15 That could be big. I think I think uh 1:26:18 going back to um uh data entry, manual 1:26:23 data entry, um faxes are coming back. 1:26:27 So pretty excited about the future now. 1:26:30 And by the way, your job's fine. Your 1:26:32 jobs are going to be good because this 1:26:34 is nobody's using AI. 1:26:39 Just not really usable. All right, 1:26:41 embrace the jank. That was a lie. That 1:26:44 was a lie. That was a lie. The the 1:26:45 jank's not getting better. All right. 1:26:48 Hey, uh boy, really been fun. All right. 1:26:53 Good night. 1:26:58 Second life. Yeah, exactly. AI is second 1:27:01 life. Second life is second. Second life 1:27:04 is the future. 1:27:06 I can't wait for hand cramps from using 1:27:08 pens. Pens and papers again. 1:27:13 All right. Uh peace out. YouTube and 1:27:15 Twitter and LinkedIn. Uh, I hope you 1:27:18 enjoyed this. There's only 22 of you. 1:27:19 Like, no one came tonight. No one cares. 1:27:21 I mean, you came, right? You came and 1:27:24 you stayed. And that should indicate a 1:27:27 lot, 1:27:29 right? You might want to you might want 1:27:31 to do some self-reflection there. Like, 1:27:33 what is it about you why you're here? 1:27:37 Right. 1:27:38 After tonight, I think that's a good 1:27:40 question to ask. All right. Bye.