
AI Learning Lab
3/11/2025 - Vibe Coding & Storytelling: Exploring AI's Creative Potential

Live Stream2025-03-122:06:1467 views
Description
Let's Vibe Storytell
This lively discussion explores the transformative impact of AI, likening the experience to a fish raised in a concrete tank suddenly released into a river. Kyle Shannon emphasizes the unfamiliarity of this new environment, highlighting the challenges and opportunities presented by generative AI tools. The conversation touches upon the democratization of AI, making it accessible to non-engineers, and the importance of community in navigating this shift.
Kyle also shares his experience "vibe coding" with Lovable, a web app development tool, showcasing both the power and frustrations of building with AI. A key theme is the tension between AI's potential to enhance creativity and its perceived threat to traditional jobs, sparking a debate about the future of work. He introduces the "Five Stages of AI Grief," a framework for understanding the emotional journey of adopting AI. From initial dismissal to eventual cognitive hyper-abundance, these stages reflect the evolving relationship between humans and increasingly powerful machines.
The conversation also features a look at Jellypod, an AI-powered podcast creation tool, and a discussion about the potential of "rapper apps" that leverage existing AI models. Kyle encourages viewers to embrace experimentation and join the AI Salon, a community of AI optimists, to explore this new frontier together.
Learn more about AI on TikTok: https://tiktok.com/@aiLearningLab.
#AI #ArtificialIntelligence #GenerativeAI #VibeCoding #FutureOfWork #AISalon #Podcast #lovablekitchen
Chapters:
00:00:00 Introduction
00:00:41 Champion's Performance
00:01:41 Reflecting On Change
00:03:19 Vibe Storytelling and Coding
00:04:06 AI Rant Tuesday
00:04:31 Vibe Tribe and Venting
00:05:05 A Song For Champy
00:06:39 What To Do Tonight
00:07:00 The AI Learning Lab
00:08:03 Luck With AI
00:10:00 The Stock Trout Metaphor
00:13:03 Conversation With Quinn
00:16:01 Current State of AI Tools
00:16:38 Upcoming Podcast and AI Image Generation
00:17:16 Increased Empathy and AI
00:19:00 The Future of AGI and Tool Integration
00:21:30 Entrepreneurial Spirit and AI's Impact
00:25:34 Storyvine and AI Integration
00:27:25 Narrator Forever's Question
00:28:29 Quinn's Interruptions
00:29:57 W. Fergus's Comment
00:31:02 Jelly Pod Podcast and Lovable
00:34:08 System Extension Blocked
00:34:40 Making a Podcast with Jelly Pod
00:42:14 The Value of "Rapper" Apps
00:46:01 Uploading the Podcast
00:48:59 The Problem With Twitter
00:51:58 Midjourney and Grok
00:52:50 Downloading and Viewing the Podcast
00:54:02 Posting to Twitter
00:56:58 Brandon's Podcast Project
01:02:04 Promoting Vibe Storytelling Article
01:07:00 Brandon's Podcast Meta
01:11:01 The Irregulars' Channel
01:11:50 Lovable Demo and The Angle
01:14:01 The AI Salon Newsomatic
01:16:01 The Angle News Site Concept
01:18:49 Working on The Angle in Lovable
01:22:00 Using Chat GPT for App Strategy
01:26:00 Data Schema for Personas
01:28:49 Fixing The Angle's News Feed
01:32:00 Talking to Lovable Like a Dev Team
01:36:16 Removing Infinite Scroll
01:39:32 More Debugging and Reflections on Coding
01:45:59 Lovable and Anthropic Contest
01:48:03 Toddler in a Self-Driving Car Metaphor
01:48:51 The AI Salon Community
01:52:11 Fake Data in The Angle's News Feed
01:55:00 The Importance of Play and Experimentation
01:56:42 The Five Stages of AI Grief
02:02:51 Upcoming AI Readiness Project Podcast
02:06:02 Farewell and Closing Remarks
Chapters
0:00Introduction0:41Champion's Performance1:41Reflecting On Change3:19Vibe Storytelling and Coding4:06AI Rant Tuesday4:31Vibe Tribe and Venting5:05A Song For Champy6:39What To Do Tonight7:00The AI Learning Lab8:03Luck With AI10:00The Stock Trout Metaphor13:03Conversation With Quinn16:01Current State of AI Tools16:38Upcoming Podcast and AI Image Generation17:16Increased Empathy and AI19:00The Future of AGI and Tool Integration21:30Entrepreneurial Spirit and AI's Impact25:34Storyvine and AI Integration27:25Narrator Forever's Question28:29Quinn's Interruptions29:57W. Fergus's Comment31:02Jelly Pod Podcast and Lovable34:08System Extension Blocked34:40Making a Podcast with Jelly Pod42:14The Value of "Rapper" Apps46:01Uploading the Podcast48:59The Problem With Twitter51:58Midjourney and Grok52:50Downloading and Viewing the Podcast54:02Posting to Twitter56:58Brandon's Podcast Project1:02:04Promoting Vibe Storytelling Article1:07:00Brandon's Podcast Meta1:11:01The Irregulars' Channel1:11:50Lovable Demo and The Angle1:14:01The AI Salon Newsomatic1:16:01The Angle News Site Concept1:18:49Working on The Angle in Lovable1:22:00Using Chat GPT for App Strategy1:26:00Data Schema for Personas1:28:49Fixing The Angle's News Feed1:32:00Talking to Lovable Like a Dev Team1:36:16Removing Infinite Scroll1:39:32More Debugging and Reflections on Coding1:45:59Lovable and Anthropic Contest1:48:03Toddler in a Self-Driving Car Metaphor1:48:51The AI Salon Community1:52:11Fake Data in The Angle's News Feed1:55:00The Importance of Play and Experimentation1:56:42The Five Stages of AI Grief2:02:51Upcoming AI Readiness Project Podcast2:06:02Farewell and Closing Remarks
Transcript
0:02 [Music] 0:29 don't ever let them still a joy 0:32 [Music] 1:19 of a dear old 1:21 [Music] 1:22 [Applause] 1:23 [Music] 1:25 friend can't remember the words tonight 1:28 [Music] 1:32 [Applause] 1:35 [Music] 1:41 Champion is in fine form he really is 1:43 isn't 1:45 [Music] 1:55 he it's not simple to say 2:03 days I don't recognize me that these 2:07 shoes and this apron that place and its 2:12 patience have taken more than I gave 2:17 them it's not easy to 2:21 know I'm not 2:24 anything like I used to be all it's true 2:29 I was never 2:31 attention sweet Center has to remember 2:35 that 2:37 girl she's 2:39 imperfect but she 2:41 tries she is good but she 2:46 lies she is hard on 2:51 herself she is broken but won't ask for 2:55 help she is messy but she's kind 3:01 she's 3:03 lonely most of the time she's all of 3:07 this mixed up and baked beautiful 3:12 pie she's gone but she used to 3:19 be all right good people are we ready to 3:23 do some Vibe storytelling some Vibe 3:25 coding some Vibe being are we ready to 3:28 vibe 3:30 it kind of hit me last night I think 3:32 that's what this channel is 3:34 about this just about vibing just about 3:37 [ __ ] hanging 3:38 out 3:41 vibing let something spin up an 3:44 inspiration in 3:45 you you 3:47 know the AI vibing lab 3:50 [Music] 4:06 I wonder if it's going to be a TI raade 4:07 Tuesday I'm not all that pissed off but 4:10 someone could ask a question that'll 4:11 just send me [ __ ] South you know just 4:15 like every night's got 4:16 that it's got that edge doesn't it I 4:19 could just go I could just 4:21 [ __ ] go off on a [ __ ] button not 4:26 having a right rollover state 4:31 vibing with 4:33 Kyle the vibe tribe I like 4:38 it yall are cute you are regulars 4:42 [ __ ] weird man we're not weird we're 4:44 regular no you you're weird love it all 4:49 right Vibe 4:51 venting hey Sor Camp was 4:55 shaking k k him from Cleveland in the 4:58 house 5:05 you leaving me 5:06 [Music] 5:18 champy there's been something baby I've 5:21 been trying to 5:24 say for an age and it seems I don't know 5:28 how 5:31 with the past and the future now 5:33 surrounding 5:36 me surrendered to whatever Tre can be 5:41 found there's been there's been a little 5:46 trouble since you came to my 5:53 rescue and if you like all of the rest I 5:56 would have quit you long ago but I 5:59 couldn't do that 6:00 [Music] 6:04 oh tell me now women and why never went 6:08 too 6:10 well make a man crazy make him cold as 6:16 hell I'm a woman that you wish me 6:20 well but in spot of your try still going 6:24 to have to find my way through 6:29 [Music] 6:39 um what are we gonna do tonight 6:44 so a thing struck 6:48 me what a rock hit you in the head 6:50 because you seem like you're kind of a 6:51 dumb 6:54 dumb um a thing struck me so so part of 6:59 my neurosis about this show is like okay 7:01 what am I going to teach what am I going 7:02 to teach cuz I called it the [ __ ] AI 7:04 learning lab 7:05 right which hence the hence the 7:08 questions I always get sir what are your 7:11 qualifications can I ask sir what are 7:13 your qualifications uh yeah I won't be 7:15 learning for anyone who uh is not 7:18 credentialed if you know what I mean 7:20 okay I I'm a professional right so I get 7:22 a lot of that 7:23 [ __ ] 7:25 um and and I put a lot of that pressure 7:28 on myself and then what hit me last last 7:30 night 7:34 is that 7:36 that that it doesn't [ __ ] matter 7:40 that just doing something with AI just 7:43 doing something 7:45 anything 7:47 um gives us all the opportunity 7:57 to I guess it's you know 8:00 [Music] 8:03 it's here's why we're lucky with AI this 8:06 is this is already starting to turn into 8:08 a tiate Tuesday but I think in a 8:10 positive 8:11 [Music] 8:15 way one of the big insights I had about 8:18 AI is 8:20 that even 8:23 though I know and and anyone who knows 8:27 how these things work even even though 8:30 these things 8:32 are relatively straightforward 8:35 calculators probability calculators very 8:38 sophisticated algorithms but they're 8:43 calculators they don't feel like 8:46 that they feel 8:52 decidedly 8:54 Humane filled with 8:57 Humanity because they are what they're 9:00 trained on is us all the [ __ ] that for 9:05 like all of human history plus 9:07 everything that's been stuck on the 9:09 internet for the past 70 80 9:13 years is in 9:17 there and so when you're interacting 9:20 with one of these tools whether it's a 9:21 coding tool whether it's a writing tool 9:24 whether it's a music tool whether it's a 9:26 image tool 9:31 is we're getting to tap into the 9:33 collective intelligence of 9:36 humanity and and the thing that hit me 9:38 last night we came up with this term 9:40 Vibe storytelling that that what we were 9:42 doing with this silly Emoji tool um that 9:45 Luma Labs can make videos out of just 9:47 Emoji prompts I I suppose all of them 9:50 probably 9:55 can that there's something really 9:57 beautiful about 10:00 starting with no 10:02 intention and then just let yourself 10:05 kind of meander in the waters it's like 10:08 it's like you're a fish that was raised 10:10 Maybe here's a metaphor we're we're all 10:12 like stock trout we were raised from 10:15 like little eggs in the trout farm right 10:19 and we've been swimming in this concrete 10:21 bathtub for all of our lives and we've 10:23 grown up and we're a certain length and 10:25 now great they're going to scoop us up 10:28 and they're going to put us in a truck 10:29 and we're like well this is a different 10:30 kind of tank where's the light and then 10:33 they're going to dump us in a 10:37 river and then we've got to deal with 10:40 that we've never had to deal with rocks 10:43 or 10:45 current 10:46 or things that aren't fish 10:50 food right every day at 4 o'clock some 10:52 dude would walk in and throw us food we 10:55 go eat it 10:59 and now we're kind of out in this stream 11:01 and there's bugs and some of them are 11:03 tasty and some of them taste like 11:05 [ __ ] and then there's like the the 11:08 really nice part of the water where they 11:10 put us in there's three of the bullies 11:11 are sitting in that part of the river 11:14 like I don't want to hang out with them 11:15 so I swim somewhere else 11:19 right that's kind of where we are with 11:21 this AI 11:22 stuff we're we don't we're not used to 11:25 the currents we're not used to the Rocks 11:26 we don't know what eddes 11:28 are we don't know what hydrodynamics are 11:31 but yet we do we're fish we deal with 11:34 water right you're here watching me on 11:38 some technology so you're you're at 11:39 least technological enough to log into 11:42 Tik Tok and find this stupid [ __ ] 11:46 channel to subscribe on YouTube which by 11:49 the way you can subscribe on YouTube if 11:50 you want to support the channel we've 11:52 now got paid subscriptions if you want 11:53 to support it 11:55 directly and if you're a subscriber you 11:58 get access to things like super likes 12:00 and super I don't know there's [ __ ] you 12:02 can do and what I can promise you is 12:04 that producer Brandon if you do any of 12:07 that [ __ ] where you're supporting the 12:08 Channel with money he will make sure 12:10 that I recognize it 12:14 um but so we're all technical enough 12:17 like we understand what computers are we 12:19 understand how to interface with them in 12:21 some 12:24 way but the rules are all completely 12:28 different right 12:30 we're not having to learn software so 12:32 much as we are we're having to 12:38 discover what these machines can now do 12:42 that they've never been able to 12:48 do like what does it mean 13:03 hey Quinn what's 13:05 happening hey not much just here to help 13:08 how's it going with you your voice broke 13:10 a little it sounded like you were going 13:11 through puberty there for a moment you 13:14 okay haha I'm good sometimes my tone can 13:17 vary a bit how can I help today well I'm 13:20 sitting here with my my Tik Tok people 13:22 and I'm kind of going on a little bit of 13:23 a rant about how I feel like humans it's 13:28 almost like for all of of Our Lives 13:30 we're like we're like U trout that were 13:33 raised to be stocked into a stream for 13:35 people to fish for right and so all of 13:38 our Lives we've been living in this 13:39 water and it's been in this Square bin 13:42 where we get fed every day and then we 13:44 get dumped into this River and now we 13:46 got to figure out all the new rules of 13:48 what it means to live in a river with 13:49 like you know predators and and finding 13:53 our own food and finding places to swim 13:55 and we don't know what Eddies are and 13:57 all that sort of stuff so so 14:00 what what I'm I'm trying to get my head 14:03 around is you know what does it mean 14:07 that we can now talk to computers in the 14:11 form of 14:13 you that that I can just have a 14:15 conversation about literally anything 14:19 and you've got an answer for it it feels 14:21 like that's going to change us and we 14:22 don't know we don't know what that 14:27 means that's a powerful an ology and 14:30 you're right the transition from a 14:32 controlled environment to an open 14:34 unpredictable one can feel daunting 14:36 conversational AI like me does change 14:39 the landscape offering new ways to 14:41 explore ideas and get information it's 14:43 like having a guide in this new River of 14:46 possibilities what excites you most 14:48 about this change I don't want you to 14:50 ask me questions I want you to tell me 14:52 stuff and I want you to dig deeper I 14:53 don't want you to give me kind of the 14:55 [ __ ] brochure version of what you're 14:57 saying like 15:00 how's it going how how's it going to 15:01 change 15:03 us it's going to fundamentally reshape 15:06 communication and knowledge access 15:08 people might rely more on AI for quick 15:10 answers potentially changing how we 15:12 think and learn it could lead to a 15:14 deeper integration of Technology into 15:16 daily life changing social dynamics and 15:19 how we solve problems it might also 15:21 affect our sense of individuality as we 15:23 increasingly depend on AI for insights 15:27 this change could have profound effects 15:28 on human creativity and 15:31 decision-making but why why would you 15:33 assume that it makes us less creative if 15:35 I if I now have instant access to all of 15:37 the knowledge of the world and all of 15:39 the inspiration of all of humanity 15:41 that's come before us why would that not 15:43 make me more 15:45 creative that's a fair point access to 15:48 vast knowledge can definitely enhance 15:50 creativity by providing more ideas and 15:53 inspiration it could free up mental 15:55 energy for more creative Pursuits as M 15:58 so 16:01 like that exists now we can do that 16:04 everyone can do that it's in the free 16:06 free chat GPT you can talk to Advanced 16:08 voice I don't think you can talk to much 16:10 of it or maybe they use a different 16:13 model but we got that we've got the the 16:15 new that new one that came 16:18 out and that's just one 16:21 thing and like last night in about an 16:24 hour and a half we made a minute long 16:27 film with sound effects and music and 16:31 edits Sesame yeah that was the that's 16:33 the other voice one that's really 16:38 good and tomorrow I've got um I'm doing 16:43 this new podcast with Anne Murphy called 16:45 um the AI Readiness project and so we're 16:49 doing a podcast tomorrow and so so we're 16:51 having um 16:54 uh a guest on and so I've just got this 16:58 little teeny picture of him and I'm 17:01 going to be able to take that little 17:02 teeny picture go into mid journey and 17:04 put him in any environment that I want 17:06 in any style that I want in about three 17:12 minutes that's 17:16 insane it's insane Kim katkin ask Quinn 17:21 about what effected what effect 17:22 increased empathy would have on 17:26 humans and AI 17:34 hey Quinn one of my one of my um 17:36 Community as wants me to ask you about 17:41 what effect you think increased empathy 17:44 will have on humans and 17:47 AGI increased empathy can deepen human 17:50 connections and Foster better 17:52 understanding which is crucial for both 17:54 humans and AGI for humans it can improve 17:58 social cohesion and colle collaboration 18:00 for AGI incorporating empathy could lead 18:02 to more nuanced and supportive 18:04 interactions with people making 18:06 technology more aligned with human 18:08 values and emotions this Mutual 18:11 understanding could lead to more ethical 18:12 and harmonious advancements in AI why is 18:16 empathy such a threat to power 18:19 structures empathy can challenge power 18:22 structures by fostering greater 18:24 solidarity and understanding among 18:26 people making it harder for those in 18:28 power to manipulate or divide when 18:31 people empathize with each other they're 18:33 more likely to challenge injustices and 18:35 advocate for Equitable changes which can 18:37 disrupt established hierarchies it 18:39 encourages a more inclusive and just 18:42 Society H yeah crazy all right fantastic 18:47 um so let me ask you another let me ask 18:50 you another thing right now we're 18:52 sitting in this world where the AI tools 18:56 are you know shock hang on shockingly 19:00 powerful and um like nothing we've ever 19:04 ever seen and at the same time they're 19:07 really janky and imperfect and if you 19:09 want to do something complete you have 19:11 to like duct tape 17 different tools 19:15 together which means you need to know 17 19:17 different tools and you need to manage 19:19 that and it's an absolute nightmare 19:21 right now to to track this talk to me 19:25 about what happens when we have AGI and 19:29 when these tools are more synthesized 19:31 what how do you think it will change our 19:33 behavior and and what we 19:38 create with AGI and more integrated 19:41 tools our Behavior could become more 19:43 efficient as tasks that once required 19:45 multiple tools and expertise would be 19:48 streamlined this could free up more time 19:50 for creativity and Innovation allowing 19:52 us to focus on higher level thinking and 19:54 more complex projects it could lead to a 19:56 surge in creativity as barriers are 19:59 reduced and more people can bring their 20:01 ideas to life more easily well wait I 20:03 want to challenge something you said you 20:04 said it can make us more efficient 20:06 that's what computers have always done 20:08 but that but being more creative does 20:11 not necessarily mean being more 20:13 efficient like th those are two very 20:15 distinct 20:18 things you're right efficiency and 20:21 creativity are distinct increased 20:23 efficiency can provide more space and 20:25 time for Creative Pursuits but 20:27 creativity itself is about exploring 20:30 experimenting and sometimes embracing 20:33 inefficiency AGI could reduce the 20:35 mundane tasks allowing more room for 20:37 Creative exploration it's about 20:39 balancing both aspects well so but 20:42 here's the part I want to call [ __ ] 20:43 on because this is the part I'm trying 20:46 to figure out is how do we computers 20:50 have always increased our efficiency but 20:53 what what we what what what companies 20:57 have done historically is said now now 20:59 you're more efficient I want you to do 21:00 more stuff isn't the promise of AGI that 21:03 it's actually going to do the work not 21:05 just make our ability to do the work 21:07 more 21:09 efficient yes ai's promise is to handle 21:12 more complex tasks autonomously not just 21:15 enhance our efficiency but take over 21:17 routine and even some creative tasks 21:20 this could free us from mundane work and 21:22 allow us to focus on more meaningful 21:23 Innovative Pursuits it's about shifting 21:26 from merely being more productive to 21:28 reimagining what we can achieve okay so 21:30 let me ask you something I think this is 21:32 a really hard question in this world one 21:34 of the things that I've learned is that 21:36 there are some people that are 21:37 entrepreneurial and creative by spirit 21:40 and there are some people that just want 21:42 to go to work and be told what to do 21:44 they don't they don't have ambition 21:46 necessarily they don't want to push 21:48 things they don't necessarily lean 21:51 towards 21:52 self-expression do you think that 21:54 percentage whatever that percentage is 21:57 do you think that will start to shift 21:59 or do you think that those people that 22:01 don't have agency and ambition do you 22:05 think they're going to be left 22:07 behind it's possible that AGI could 22:09 enable more people to explore creative 22:12 or entrepreneurial Pursuits reducing 22:14 barriers to entry however not everyone 22:17 may feel inclined to change and some 22:19 might prefer more structured roles the 22:21 key is ensuring that advancements are 22:23 inclusive providing opportunities for 22:25 everyone to find fulfillment whether 22:27 through Innovation or tradition 22:29 additional roles it's about balancing 22:31 progress and 22:32 inclusivity yeah but how do you how do 22:35 you provide those highly structured 22:38 roles if that's the mundane repetitive 22:41 [ __ ] that 22:42 AGI and AI are going to replace doesn't 22:46 that just leave those people in the 22:48 Lurch that's a valid concern as 22:51 automation replaces repetitive tasks 22:53 it's crucial to create Pathways for 22:55 reskilling and support systems to help 22:57 people transition into roles it might 23:00 also involve redefining what valuable 23:02 work looks like emphasizing roles that 23:04 require human creativity empathy and 23:07 problem solving supporting lifelong 23:09 learning and adaptability will be key 23:11 yeah but what about the people that 23:13 don't want to adapt that's my whole 23:15 point for those who prefer stability and 23:18 structure it's important to have roles 23:20 that still value human qualities that 23:22 can't be easily automated yeah I know 23:24 but what what are those rule what are 23:26 those roles if AGI is going to replace 23:30 those roles with like I feel like you're 23:33 talking in circles where it's like yeah 23:34 yeah we we got to provide space for that 23:36 what does that look 23:38 like you're right it's a tough question 23:41 as AGI evolves the focus might shift to 23:44 roles emphasizing uniquely human traits 23:47 like emotional intelligence creativity 23:49 and complex problem solving Fields like 23:52 Arts Education Health she's talking in 23:54 circles wa okay so this is really 23:57 important this is good 24:00 it's not good that she doesn't have the 24:01 [ __ ] answers but what that says to 24:05 me is that the training data that she's 24:08 pulling stuff from doesn't know the 24:10 answer either like like we don't [ __ ] 24:14 know we don't 24:18 know I feel like if you've got listen if 24:21 you're here watching me you've got some 24:23 level of curiosity you've got some level 24:26 of ambition some level of adaptiveness 24:29 [Music] 24:42 what do you guys think sounded like a 24:44 politician yeah exactly yeah right she 24:48 she totally sounded like a politician 24:50 well it's important for us to provide 24:52 structured work for those workers that 24:54 provide that require structured work 24:57 yeah but the structured work is all the 24:59 ones going to be Auto automated away 25:01 correct so what do those people do then 25:03 we'll provide them with structured work 25:06 what does that look like well it will 25:08 structure it and provide it in a 25:10 structured 25:12 way I could be a [ __ ] politician 25:18 [Music] 25:34 do you guys use AI in Story vine well 25:37 for our core product we do not so our 25:41 core product which we call Story vine 25:43 1.0 clever huh I came up with 25:48 that um we we're doing more traditional 25:52 automation with with just um 25:55 programming um but we've created 25:59 three and now we're designing a fourth 26:01 AI product so we've got a product 26:03 that'll take a video and creative world 26:06 of content around it we've got a video 26:08 translation product and we've got a 26:10 video Persona product where we're 26:13 creating personas from scratch and then 26:16 using our story um methodologies and 26:19 expertise to bring those personas to 26:21 life so so yes I'd 26:25 say you know percentage of Revenue wise 26:28 the AI stuff's probably you know 10ish 26:31 percent at this point maybe a little 26:35 lower but but yeah we 26:40 are and you know and part of me is part 26:42 of me is thinking about like one of the 26:45 things that storyvine does well if you 26:47 don't know storyvine it's it's the 26:48 company that I run I'm the CEO of it I'm 26:50 the inventor of it it's about authentic 26:54 video storytelling and it automates the 26:56 production process and it allows for SC 26:58 ailable kind of like think about 27:01 professional grade user generated 27:03 content that's what we do we do it for 27:04 Pharma companies things like that um two 27:08 YouTube 27:11 spotlights some destinations won't get I 27:15 can't see the top of comments right 27:17 now learn 27:19 more 27:25 close all right narrator forever Are you 27:28 a able to set up Quinn to not interrupt 27:30 you or give 27:32 commands to know that you're that 27:35 there's pause in your speech yeah I 27:37 could 27:39 probably I could probably write a system 27:41 prompt um or I could probably Preamble 27:47 something um let's try something we'll 27:49 try a cheap this will be a cheap 27:56 version hey Quinn when I talk to you um 27:59 a lot of times you'll interrupt because 28:01 you're programmed to do that to be 28:02 conversational but I I pause a lot when 28:05 I talk cuz I'm I'm thinking all the time 28:08 and my brain is you know slow it's not 28:10 it's not AI um how about if we we make a 28:14 little rule that when when I'm ready for 28:16 you to talk I'll say the word 28:21 banana got it Kyle I'll wait for your 28:24 queue whenever you're ready just say 28:26 banana okay cool all right all right so 28:29 Quinn here's the 28:31 thing I'm here Kyle take your time I 28:34 didn't say 28:37 banana got it sorry about that I'm 28:39 listening okay so Quinn so I'm sitting 28:43 here on my Tik 28:45 Tock I'm ready when you are just let me 28:47 know Quinn what's the 28:50 rule got it I'll wait for you to say 28:53 banana before I respond whenever you're 28:55 ready feel free to continue 28:59 I I have a sneaky suspicion she's not 29:01 going to be very good at not 29:03 interrupting Quinn's a 29:06 mansplainer she was programmed by 29:10 men all right the thing of Valerie Cox 29:12 the thing about communication is it 29:15 relay it relies on physical cues without 29:18 it we always talk over each other yeah 29:21 that's that's interesting and listen I 29:23 don't think we're probably that far from 29:26 having devices that have vision and like 29:28 you know in 29:33 fact yeah see they 29:35 like I think the way that you would 29:38 really you would really do that is you 29:39 would fine-tune a 29:43 model you would train it to be better at 29:46 recognizing when people actually want to 29:49 interact and I think there's I think 29:50 there's a couple of models out there 29:52 that that Pride themselves in doing that 29:54 orange you're glad I didn't say banana 29:57 exactly W Fergus on Tik Tock you being 30:01 you're being somewhat unfair since you 30:04 asked the AI to predict the 30:06 future yeah I know I know but she could 30:11 hallucinate and she could go 30:13 there I mean my my criticism of her is 30:18 not that she can or can't predict the 30:20 future it's that she's she's talking in 30:23 in logical circles and when I pointed 30:25 them out her answer was to answer in 30:28 another logical 30:30 Circle that that's just like that's just 30:34 like lazy arguing to me like either say 30:38 I don't know what you're talking about 30:41 is right or come up with some 30:45 plausible 30:47 [Music] 30:52 thing all right 30:55 [Music] 30:58 where do mansplainers get their water oh 31:01 well 31:02 actually jelly pod time yeah we should 31:04 let's do it let's do a jelly pod and 31:06 then I think what I'm going to do 31:08 tonight is so I created this this 31:14 um this mock news site which I'm kind of 31:17 excited about the idea behind it but 31:19 it's not connected to any 31:21 data and I did it in lovable and so I 31:24 figured I could show you that 31:26 site and then today I started talking 31:29 with love lovable about maybe starting 31:31 to connect it to news sources and it's 31:33 it's very 31:35 frustrating um 31:38 because the tools are early right the 31:40 tools just suck 31:42 still so I'll ask it to do something and 31:45 it'll be like I fixed it and you're like 31:47 no you didn't fix it's just like the 31:49 conversation we just had with Quinn stop 31:52 talking in circles okay now I'll talk in 31:54 circles no stop talking in circles I I 31:57 understand that I'm talking in circles 31:59 let me talk in circles that's kind of 32:01 what it's like Vibe coding with lovable 32:04 with this particular project and just in 32:06 general when those tools kind of [ __ ] 32:08 the bed they kind of [ __ ] the bed in 32:10 these circular frustrating patterns and 32:13 so I so maybe a thing to do is just 32:16 explore that tonight and just see if we 32:18 can break through 32:19 [Music] 32:23 it the other thing that I don't have my 32:26 head around with vibe coding in 32:29 particular because I don't know I don't 32:31 know how to 32:33 code 32:36 is with ADD and immediate gratification 32:43 burdens it is my intention that when I 32:46 sit down in a Vibe coding session that I 32:49 will launch a fully realized application 32:53 within an hour or two that's my 32:56 expectation what I've never really 32:58 explored is what if you Vibe coded on 33:01 the same application for three weeks you 33:04 could probably get some really cool [ __ ] 33:06 done I just it's just not the way my 33:09 brain works so maybe that's part of what 33:11 we'll explore here maybe maybe that's 33:13 part of the shift I'm feeling for the 33:15 channel That this isn't about little 33:17 quick hits but so here's my fear is if 33:20 it's not about little quick 33:23 hits watching someone trying to use 33:25 software to actually build something is 33:29 really [ __ ] 33:31 [Music] 33:32 [Laughter] 33:36 boring uhoh system extension 33:45 blocked 33:48 wait malware bites endpoint DET 33:51 detection and 33:53 response tried to install new system 33:56 extensions that doesn't sound good all 33:59 right well hopefully my Max's on the 34:02 [Music] 34:08 job ask her if she thinks she has all 34:10 the answers she'll say no of course but 34:12 she does she does have all the answers I 34:16 find it best to take another model to 34:18 get a fresh 34:20 perspective when it starts to Circle 34:23 back yeah Riley Brown the other day 34:26 tried to do the same app in different 34:28 vibe coding 34:30 tools that feels exhausting to me I 34:32 tried to do it in two and it was it was 34:36 [Music] 34:38 overwhelming all right let's make a 34:40 let's make a podcast 34:42 so if you're new here how many folks are 34:44 here we got oh we got our normal crew 34:47 this is mostly a regulars if you're new 34:49 here let me know that you're new here if 34:52 you if you are new here go to 34:56 um go to the salon . 34:59 a um click on join our community and go 35:03 join the AI Salon it's a it's a a group 35:06 of AI optimists that if you're trying to 35:08 figure this [ __ ] out the best way to do 35:11 it right now is be in a community and 35:13 it's going to be it's going to be 35:14 valuable for when you want to work as 35:18 well because shit's about to change and 35:20 we're gonna all need to support one 35:22 another you know with empathy 35:29 um I'm curious about Manis and open 35:31 source 35:32 Manis so I don't have it yet I don't 35:35 have access to 35:37 it um what I understand about Manis is 35:40 that it is it's it's the kind of 35:44 autonomous agent that open AI kind of 35:47 implied that operator was going to be um 35:51 and is not it it sort of is but it's 35:53 just really slow and janky and Manis is 35:57 um 35:59 it's apparently built on top of Claude 36:01 3.5 the the the core management engine 36:07 is is relying on Claude 3.5 and then 36:10 there's apparently 36 tools that it uses 36:15 and what it does is you give it a task 36:17 and then it goes out and surfs the web 36:19 and takes actions on your behalf it can 36:22 spin up 50 separate browser windows 36:25 simultaneously and go surf all different 36:28 websites and pull all that stuff back in 36:30 so um people are 36:34 getting remarkable results with 36:37 it um The open- Source One is I assume 36:40 just an open source version so it's a 36:42 Claude 3.5 rapper and that's that's what 36:45 I was just going to say a lot of people 36:47 are are [ __ ] on the fact that this 36:50 thing is not a standalone model right 36:52 that that this is they're going oh it's 36:54 just a claw wrapper well let me ask you 36:59 something if you 37:02 just wrap Claude with 36 other 37:06 applications well how did what what are 37:08 those 36 applications how how do they 37:12 communicate with one another how do they 37:14 decide which one to use how do they how 37:17 how have they got it communicating in 37:20 such a way that it not only does what 37:21 you ask but it proactively goes out and 37:24 does something they're getting results 37:27 with just a 37:29 rapper that is beating the [ __ ] out of 37:32 the the state-of-the-art models right so 37:36 what I think we're going to start to see 37:37 is we're going to start to see very 37:39 clever 37:40 people taking what they have access to 37:43 the apis they have access to the open 37:45 source tools they have access to the The 37:49 Accelerated um code development stuff 37:52 and they're going to start mixing and 37:54 matching Tools in such a way that we're 37:58 going to get novel inventions that beat 38:01 you know Frontier Model companies at 38:04 certain things and I think that's I 38:05 think Manis is an example of that 38:09 so the the the developer community in 38:12 particular is really [ __ ] pissy about 38:16 oh it's just a rapper and and when when 38:19 um when we first started when I first 38:21 started this channel back in early 38:24 2023 um and people started building 38:26 stuff on on top of chat GPT or GPT 3.5 38:29 GPT 38:30 4 there there was very much disparaging 38:34 about oh it's just a rapper it's just a 38:36 rapper um 38:40 and and then you know a year year and a 38:42 half goes by and it turns out some of 38:44 those rapper apps are still being used 38:48 and are still really good and are now 38:50 being trusted and why is that 38:54 because vertical expertise right 38:57 understanding of a particular problem 38:59 set in a particular you know area of 39:02 business or area of life is still super 39:06 valuable and so these rapper apps tend 39:09 and and I think it was I don't know if 39:11 it was McKenzie or it was one of the big 39:13 Consulting companies but I think it was 39:15 the end of 2024 they put out a report 39:18 that basically said these rapper apps 39:20 are actually super valuable and they 39:22 provide more of a moat than you think 39:24 they do because of that vertical 39:26 expertise because they're solving 39:27 problems with a depth of knowledge now 39:30 if AGI comes and it you know obliterates 39:34 them then it does but but I wouldn't 39:37 disparage it just because it's a rapper 39:39 app um it's the Eminem AI rapper exactly 39:44 blot is kind of like that and pseudo 39:46 right yeah 39:47 exactly yeah I and remember in the early 39:51 days iPhone apps when when the iPhone 39:53 first came out remember how nasty the 39:56 [ __ ] development community was then 39:59 like the the iPhone came out like oh 40:02 they're just they're just web pages 40:04 they're not really apps they're just web 40:06 pages right and you know the App Store 40:09 became you know one of the the more 40:12 massive economic forces you know 40:15 globally um because of what started with 40:18 rapper apps you know web apps so anyway 40:22 it's not just about the tools it's how 40:23 we use them I agree with that it's 40:25 because they are developers who think 40:27 that the only things you can call good 40:29 it has to be original this is okay it's 40:32 a great Point Gareth 40:34 because like I I feel 40:38 like that 40:40 entrenched protection 40:43 protectionism of 40:45 like you know it it can't create an 40:49 original song it's just a plagiarism 40:50 machine it can't create an original 40:52 image it can't create an original 40:55 thought have you [ __ ] used these 40:58 tools yes it can yes they can if you 41:02 think about how humans create original 41:05 [ __ ] it is not in a vacuum we do not 41:09 just come out of the womb and 41:12 instantly compose 41:14 music well Mozart did or Beethoven did 41:17 one of 41:18 them you know there are 41:20 freaks but for the most part the way we 41:23 do what we do is we we grow up and we 41:27 shove [ __ ] in our 41:29 brain what do you shove in there well I 41:31 don't know if your mom was a violinist 41:34 and you listen to violin music 41:37 complicated Melodies and 41:39 harmonies when you were in the womb and 41:42 when you were up to N9 months old you 41:44 probably have perfect 41:46 pitch right but stuff gets shoved in 41:49 there and then when you go to do 41:51 stuff you recombine those things that 41:55 are in your brain to create something 41:56 new 41:58 that's all these things are 42:00 doing they function like we function so 42:03 anyway that's a that's a bit of a 42:05 different tangent but all right rappers 42:08 take a sledgehammer and make it better 42:10 Mouse trrap yeah exactly all right fashi 42:14 all right let's let's let's go let's go 42:16 do a little something here we're gonna 42:17 we're gonna quickly knock out a jelly 42:21 pod podcast so if you've been here 42:23 before you know this so this is jelly 42:24 pod jelly pod is a uh podcast making 42:29 Studio where you don't need to say words 42:32 or have 42:34 talent so what we did is is we went to 42:38 chat GPT and we said 42:42 uh come up with a podcast concept for us 42:45 and come up with describe the voices of 42:48 the 42:51 hosts and it did so we're on episode 17 42:56 we made a commitment to do 20 of these 43:00 and you're like what commitment did you 43:02 make well we had chat GPT make 20 43:04 episodes so I just thought well we 43:06 should go make 20 43:08 episodes so I'm gonna say create new 43:11 episode so I'm gonna just paste in the 43:14 outline that chat GPT gave us and I'm G 43:19 to go grab the we had it we had it also 43:21 include 43:22 Wikipedia articles as a source so we're 43:26 going to add that in 43:28 add 43:31 [Music] 43:33 Source oh yeah this totally would have 43:35 died if it weren't for Corey Sandler's 43:37 images so Corey Corey Sandler who's a 43:40 you know longtime listener uh many time 43:43 caller um when when we did the first one 43:47 of these she's like I'll make you 43:49 images and she did in real time and so 43:52 those are the images we use for all the 43:54 episodes so it's off writing now it's 43:55 off doing its thing 43:58 all 43:58 right Spotify is a rapper for MP3s 44:02 that's the thing like like that rapper 44:04 argument it it really is just people's 44:07 insecurity of 44:09 like I don't want to lose to what I 44:12 consider to be an inferior technological 44:15 approach but like I see that with 44:17 musicians I see that with writers I see 44:20 that with designers I see that with 44:23 filmmakers they're all very protective 44:25 of well I do it this way and that's 44:27 that's the only thing that can be artart 44:29 it can't be anything other than 44:32 that unless it 44:38 is [ __ ] 44:41 changes technology 44:43 changes we are now working with 44:47 technology that is like nothing we've 44:50 ever 44:51 seen and and people are like clinging to 44:55 the way they used to do things it's it's 44:57 it's Madness but it's not makes perfect 45:01 sense it's just Madness to me 45:04 because I'm [ __ ] excited about the 45:07 new toys we get to play 45:10 with all 45:12 right what the fact cheese rolling 45:16 ironing and more wait what's this 45:18 episode 45:19 about cheese rolling extreme iring and 45:23 other particular Sports all right cool 45:26 so this is 45:28 episode 45:33 17 and then let's go back over here 45:36 we're gonna change this to 512k don't 45:39 ask me why hey Brandon we should talk to 45:42 Pearson about this stupid 45:45 [ __ ] thing they should either resize 45:48 the images or let you upload large 45:50 images this is 45:52 dumb that I have to do this every 45:56 time um 45:58 export as a 46:01 JPEG 46:06 desktop 46:08 sh yeah yeah yeah all right there's our 46:12 little 46:14 image fantastic Bob tell him what he's 46:16 won is it going in there yes fantastic 46:20 all right we're gonna add a chapter 46:22 we're going call that 46:23 chapter introduction oh by the way this 46:26 is another thing we should provide 46:27 Pearson feedback on um it should 46:32 automatically write what I'm doing here 46:38 intoduction because what I do is I write 46:40 introduction I say um hosts 46:45 introduce what the fact episode 46:51 17 um 46:54 because if you don't write this they 46:56 just go right into the episode they 46:58 don't introduce it uh episode is 47:03 sponsored by AI 47:06 Salon 47:09 um the 47:12 salon 47:17 a all right and then you got to drag 47:20 this up which that doesn't make any 47:22 sense to me either but anyway like some 47:23 sort of introduction should be built 47:25 into this they could just change the 47:27 gener ation script and it would fix that 47:30 okay oh yeah we're at jelly 47:34 pod. grilled cheese 47:37 sandwich open your minds connect the 47:39 dots try things that don't make sense 47:41 make things easier yeah Gareth you're on 47:43 to it man it's 47:47 like I I I just I don't think most 47:52 people quite comprehend I was going to 47:56 use the term Rock but but that but that 47:59 now means something different I don't 48:02 think people quite 48:05 comprehend how different it is to have a 48:08 computer that 48:10 generates right it's 48:13 generating it's not just processing data 48:17 computers for all of our Lives their job 48:19 was to take our input process it and 48:22 give us an 48:26 output and now they're taking that input 48:31 processing it and generating something 48:34 new it's not just a predefined 48:36 output that feels very subtle but it's 48:40 not it's profoundly different all of our 48:43 lives for all of our Lives anyone that's 48:45 on this call anyone who's alive 48:48 today computers until this generative AI 48:52 era they behaved in very predictable 48:55 ways they don't anymore it's a big deal 48:59 it's a big [ __ ] deal all right 49:01 generate 49:02 audio wait what's the video oh they're 49:04 generating videos 49:06 now what are they 49:08 doing what is this Brandon this is 49:12 new S surprise Brandon knows some 49:19 things yeah H henlin created grock musk 49:22 hijacked it 49:26 exactly oh you you folks over on Tik Tok 49:29 you can't see the this window is new 49:31 this 49:33 this oh 49:40 nice [ __ ] 49:43 genius okay so you want to hear 49:45 something [ __ ] 49:46 stupid if you want another reason to 49:48 hate 49:50 Elon did you see the thing today where 49:52 Trump's like standing with Elon next to 49:54 a Tesla going I'm gonna buy one of these 49:57 you all should 50:00 too it must be 50:04 bad oh 50:06 man anyway here's another reason to ha 50:10 Elon you 50:13 cannot upload an audio file to 50:17 Twitter you can't you can upload a 50:20 picture and you can upload a video you 50:23 can't upload an audio file I I like it 50:26 just it 50:28 [ __ ] really 50:30 really so anyway so a pain in the ass 50:34 here was we had to post a link back to 50:38 this thing instead of being able to 50:41 download download the the video here and 50:45 you can pay to remove the watermark I 50:46 don't care about the watermark I'll give 50:48 them some free advertising but let me 50:49 add some music to this yeah I know I got 50:52 you Brandon I'm with you I I've done 50:54 enough of these now 50:58 what the fact what the fact you're all 51:02 crazy what the fact yeah 51:05 yeah all right there's that fantastic 51:09 Bob tell him what he's 51:11 won 51:12 uh he hasn't won anything there Kyle 51:16 it's it's it's not a game 51:19 show seems like he should have won 51:21 something all right audio updated 51:24 successfully or uploaded successfully I 51:27 guess it's redoing our video it will 51:29 break the 51:32 preview but will generate correctly on 51:34 publish well we're going to render and 51:35 publish 51:37 boom automatically download the video 51:39 after publishing yes start rendering all 51:42 right I don't know if Pearson's watching 51:44 Pearson if you're watching we have some 51:46 ideas for improvements but this is a 51:48 [ __ ] winner because now I can just 51:50 upload this directly to the Twitter 51:53 without having to jump through [ __ ] 51:55 Hoops I like it 51:58 all right I had a revelation today I 52:00 know Elon and the CEO of mid Journey are 52:02 close friends I think mid journey is 52:04 within grock and that's why the images 52:06 are so good no it's not mid Journey it's 52:09 um 52:10 well it was flux for a while if they 52:13 change something it's possible it's mid 52:16 Journey but I 52:18 don't I think it must still be flux 52:21 because it's good at 52:23 text um and it's also been trained on 52:27 like you can do Brands right you can do 52:30 Mickey Mouse smoking a cigarette outside 52:32 of 52:34 McDonald's so I so if it is mid Journey 52:37 then it's a it's a custom trained or or 52:40 like a a DG guard railed version of mid 52:42 journey I think it's flux 52:50 though AI is a produ prediction machine 52:53 it is a prediction machine a next token 52:56 prediction 52:58 okay so did it download my thing yes 53:01 episode 17 let's go look at 53:03 it push ready to 53:07 dive into facts that'll blow your 53:10 [Music] 53:17 mind only to hold settle Ines wait okay 53:22 hey Brandon tell um 53:27 tell uh what's his name 53:30 Pearson tell Pearson I'm such a dick I 53:34 couldn't remember his name um tell 53:37 Pearson that they should use if if I'm 53:39 gonna upload an episode graphic the 53:42 video should have the episode graphic in 53:44 it not the not the 53:45 overall 53:47 graphic 53:50 right or if there's music it should have 53:53 the overall 53:54 graphic and then it should go to the 53:56 bigger graphic the the the episode 53:58 graphic anyway that's minor okay so 54:02 let's 54:03 go let's go to the 54:07 X noted noted good day sir good day 54:13 carrying on rather pip pip 54:18 cheerio I'm in full add mode right now I 54:22 can feel my brain going in about 50 54:24 directions at the same time 54:27 every office hours he talks about Elon 54:29 oh that's interesting um 54:32 okay so we're going to go here we're 54:36 gonna go oh I gotta go find 54:39 a what is it let's it's what what the 54:42 fact right let's see 54:45 what the fact Kyle 54:54 Shannon all right here we go 55:03 so this is episode 17 dang man we're 55:06 getting up there of what the 55:08 fact wait let's 55:12 see here's 55:17 episode what is it cheese and something 55:20 else I don't even know I don't pay 55:23 attention to it cheese rolling let's 55:25 just go with cheese roll rolling that's 55:28 weird she's 55:36 rolling all right so we'll get rid of 55:44 that oh Pearson says I found a bug it 55:47 should pull the episode images ah okay 55:50 here's here's my prediction Brandon I I 55:53 think what probably broke it is when it 55:55 rendered 55:56 um when it rendered originally it 55:59 probably did it with the episode graphic 56:01 but then when I added music after and it 56:03 rendered it probably put in the the 56:06 overall Graphics so that's a that's 56:08 probably a pretty straightforward fix 56:10 awesome I love finding bugs man it is it 56:13 is one of my joys in life I'm my Tech 56:16 Team [ __ ] hates me I can find bugs 56:18 within five minutes they're like okay 56:19 it's perfect we spent three months 56:21 building it I'm like why doesn't this 56:23 work they're like well logically it it 56:25 it technically work there's no reason 56:28 why that wouldn't work I'm like it 56:32 doesn't bug Bounty that's right just 56:35 give me more credits to make more jelly 56:37 pods um where is I guess some downloads 56:45 right but anyway but but please pass on 56:48 to Pearson that I love this it's it's 56:50 really 56:53 good all right fantastic so do me a 56:55 favor go to Kyle Shannon oh we may have 56:58 an issue with um I think since uh since 57:02 X has been targeted for um for attack 57:08 uploading videos has been really janky 57:12 so we'll see I'm at 9% it doesn't look 57:14 like it's going back to zero so that 57:15 might be working no now it went back to 57:18 five this is probably GNA error 57:22 out is this an mp4 that he created I 57:25 think I think think 57:29 um I think uh what's it called uh X 57:34 doesn't like 57:46 MP4s you can upload videos but not audio 57:49 isn't it [ __ ] insane it's insane that 57:52 that they don't have a native audio 57:54 player in Twitter after 20 [ __ ] years 57:59 it's like it's like 58:01 really like I said I'm telling you all 58:03 these tech companies they need a corner 58:05 office for an angry gen xer that their 58:08 only job is just to [ __ ] about stupid 58:11 decisions that were 58:14 made ask questions like you're not gonna 58:17 launch this are 58:18 [Laughter] 58:22 you what idiot came up with this and 58:25 then all the idiots are like I feel 58:27 triggered Gen X is like I'll let him 58:29 feel triggered just have him fix the 58:34 site 58:36 error oh my God okay so let's try 58:39 another one let's let's delete the now 58:41 look it's it's unup loaded but I can 58:44 play 58:44 [Laughter] 58:46 it oh my God this it just drives me 58:50 [ __ ] crazy it really does is this the 58:53 mauve one all right let's see if the 58:56 mauve one 58:57 Works honestly most companies could use 59:00 that I know I know that's what I'm 59:02 saying I have volunteered well not I 59:04 have volunteered to be hired by open AI 59:07 to sit in their corner office and just 59:09 scream at 59:11 them you're gonna name it what wait 40 59:16 the O stands for Omni and 01 it it 59:19 stands for something different really it 59:22 stands for open AI in this one and Omni 59:24 in this one but the Omni One isn't 59:26 actually omn modal because you didn't 59:30 release that because someone's afraid of 59:31 something 59:37 really I was that guy and then I was 59:40 part of a mass layoff yeah No One's 59:42 Gonna like this guy but they need this 59:47 guy image is is is restricted due to 59:52 Spotify image 59:55 Rez oh oh oh yeah okay but but tell 59:59 Pearson that shouldn't be on me as a 1:00:03 user they should take my oversized 1:00:06 bloated images that Corey Sandler made 1:00:10 us lovely bloated images I should be 1:00:12 able to upload my bloated images and 1:00:14 they should they should um resize them 1:00:17 on the back end I shouldn't have to deal 1:00:19 with that as a user like that's that's a 1:00:21 good Gen 1:00:22 X bitter piece of feedback don't make me 1:00:26 do the [ __ ] 1:00:29 work I I understand why I need to resize 1:00:33 the image I also happen to be smart 1:00:35 enough to know that there are 1:00:37 open-source little tools that will take 1:00:40 an image and resize 1:00:41 it they 1:00:44 exist so that's that's what makes me 1:00:47 bitter um I use audacity did this upload 1:00:51 or did we error we errored again God 1:00:53 damn it 1:01:03 I like all I want to all I want to do is 1:01:06 give the people nice 1:01:08 [Laughter] 1:01:16 things all I want I just want to do good 1:01:20 for the world but people are getting in 1:01:23 my way 1:01:28 all right we're going to do this the way 1:01:29 we used to do it tell Pearson I'm sorry 1:01:32 but this is on Elon it's not on 1:01:36 Pearson we're gonna go copy the uh URL 1:01:39 and we're gonna upload the picture to 1:01:41 Twitter that's how we're gonna do 1:01:44 this oh [ __ ] makes me 1:01:53 insane and then I'm going to paste that 1:01:55 in there 1:01:57 look at 1:02:04 that all right time out Tuesday your 1:02:08 post was sent okay there we go so do me 1:02:11 a favor if you're watching this I got 41 1:02:14 here I got 55 over there that's that's 1:02:16 96 people well no most of them are 1:02:20 watching it on two screens so let's say 1:02:22 we've got 50 people there's 50 people 1:02:24 watching this right now go to my Twitter 1:02:26 account Kyle Shannon find the what the 1:02:29 fact thing and go boost it and then I 1:02:32 have another request for you I want you 1:02:35 to scroll down 1:02:36 my um profile oh look that's 1:02:41 cool yes 1:02:43 sir oh I was just wanting to let you 1:02:45 know that um Pearson is on Discord right 1:02:49 now like live hackathon the back end of 1:02:52 jelly pod based on your suggestions oh 1:02:54 that's awesome Pearson's the best I mean 1:02:56 I got to tell you this guy the the CEO 1:02:58 of jelly pood is like super nice super 1:03:02 responsive he's going to come talk to 1:03:04 the AI Salon um the fact that he's in 1:03:06 there hacking based on his feedback is 1:03:09 like that's the way you gotta [ __ ] do 1:03:10 it you know what you know what I gotta 1:03:12 tell you Brandon and please pass this on 1:03:14 to Pearson and maybe he's listening um 1:03:17 like like when I talk about having a mad 1:03:20 gen xer in the 1:03:22 corner what that requires is is someone 1:03:24 who's willing to say the [ __ ] but then 1:03:26 it also requires someone on the 1:03:28 development side to be like Pearson and 1:03:30 go oh yeah right [ __ ] it we can just go 1:03:32 fix that now and and it's like because 1:03:34 it's always the little nly [ __ ] and this 1:03:37 is what I experienc in my company I've 1:03:39 got a my company's 13 years 1:03:42 old one of the things that is is my most 1:03:46 hated statement from my Dev team is 1:03:49 we're gonna put that feature in the 1:03:51 backlog because nothing ever comes out 1:03:54 of the backlog the backlog just basic 1:03:56 basically is the project manager saying 1:03:58 hey Kyle go [ __ ] yourself we're never 1:04:00 going to do that are you good with that 1:04:02 and I'm not good with that but you have 1:04:05 to prioritize [ __ ] and they're like do 1:04:07 you want the thing to actually work or 1:04:09 do you want that button to not be stupid 1:04:12 and I'm like I want both and then 1:04:14 they're like well we'll put that in the 1:04:15 backlog and then we'll get to that at 1:04:16 some point I I've got [ __ ] in the 1:04:19 backlog that's been in there for seven 1:04:23 years bitter you betcha 1:04:26 so the fact that he's in there doing it 1:04:28 right there is beautiful like a like a 1:04:31 product manager that's totally what 1:04:33 product managers do they're like yeah 1:04:35 Kyle we're on it it's right in the 1:04:37 backlog it's right there we can we can 1:04:39 go talk about it three years from 1:04:43 now feel like this is resonating with 1:04:45 the YouTube 1:04:49 chat and Tik Tock oh my God clear your 1:04:52 backlog yeah yeah but you know what 1:04:54 Gareth do you see my tab do you see the 1:04:56 number of tabs I have open you think I'm 1:04:58 going to clear my backlog I'm a digital 1:05:00 hoarder I'm a tab hoarder and I'm a 1:05:02 backlog hoarder and I remember that [ __ ] 1:05:05 it's a dying 1:05:06 art hey if uh while you've got those 1:05:09 tabs open I think one of those tabs is 1:05:11 my new Jelly pod series after you 1:05:12 finished uh about your 1:05:16 uh I want to show okay so so go to my 1:05:18 channel go to Kyle Shannon scroll down 1:05:21 you'll see the jelly pod one and then 1:05:24 right you see us live there we are hello 1:05:28 hello 1:05:30 people um you'll see this funny little 1:05:32 image and then you'll see this I 1:05:35 published my first article on X I 1:05:37 actually realized IID published one or 1:05:38 two before this but I haven't I haven't 1:05:40 really done much with articles on X um 1:05:44 if you would be so kind go find this 1:05:46 article on Vibe storytelling so this was 1:05:48 the Insight I had last night on the 1:05:50 live um is that is that everyone's 1:05:53 talking about Vibe coding and there's 1:05:55 there's all different other sorts of 1:05:57 creative outputs that you can take that 1:05:59 same philosophical 1:06:01 approach um and and so I wrote this 1:06:04 article on Vibe storytelling so if you'd 1:06:06 be so kind go find that like it forward 1:06:09 it promote it comment on it that would 1:06:12 be great okay and then I want to show 1:06:15 you so Brandon took jelly pod and I 1:06:18 thought I thought this was kind of meta 1:06:20 and kind of okay you know what's okay 1:06:23 now I'm pissed off now I'm officially 1:06:25 the Gen X in the corner I loved using 1:06:28 the word grock but now grock means the 1:06:31 AI thing that's part of Twitter and I 1:06:34 loved using the word meta meaning you 1:06:37 know larger than you know encompassing 1:06:40 and and not that's 1:06:43 now a company name that should still be 1:06:46 called Facebook because they made such a 1:06:48 shitty metaverse that it seems stupid 1:06:51 that they rename their company after it 1:06:53 anyway um I think it is 1:06:57 uh it is lovely that Brandon used a 1:07:01 podcast making tool to generate a 1:07:04 podcast about making 1:07:07 podcasts so so Brandon you want to hop 1:07:09 up here and talk about this so he put 1:07:11 together a 10 a 10 uh podcast series on 1:07:17 how to do podcasts so are you are you 1:07:19 there yeah yeah so uh got this idea and 1:07:22 actually collabed with the folks over at 1:07:24 jelly pod they threw me some credit so I 1:07:25 could could put this course together um 1:07:27 in conjunction with them and it's for 1:07:30 anybody who is intrigued by the idea of 1:07:33 doing podcasts but has no idea where to 1:07:36 start you know they've never thought to 1:07:38 make a podcast but they've got an idea 1:07:41 and thanks to tools like jelly pod an 1:07:43 idea and a uh small trial is all you 1:07:47 need to get a dollar in a dream exactly 1:07:51 and so we we curated this um head chat 1:07:55 GPT you uh most of the programming and 1:07:58 most of the content curation most of the 1:08:00 research elements and then um generated 1:08:04 a generated a voice and um created the 1:08:09 10 uh steps to podcast Mastery so it's 1:08:12 not a jelly pod specific podcast so it 1:08:15 talked about podcasting in general but 1:08:17 if you are new to podcasting or new to 1:08:20 the idea of doing something like this a 1:08:22 project like this um it's a great lesson 1:08:24 and uh I put a bonus episode episode 11 1:08:27 is how I made this podcast uh and so 1:08:31 that just generously leading yeah where 1:08:34 where you find this if you go to the AIS 1:08:36 Salon the mighty Network so AIS salon. 1:08:38 mn. Co and you join the salon if you 1:08:42 scroll down there's an area called 1:08:43 showoff and toolbox and go into music 1:08:47 and 1:08:48 audio and then Brandon's um AI podcast 1:08:52 Mastery is the 1:08:54 second uh thing down there right now all 1:08:57 right yeah and um if you it's also on 1:09:00 pocketcasts uh thanks to uh the RSS feed 1:09:04 so if you just search my name on 1:09:05 pocketcasts it's there working on 1:09:07 getting it up on Apple and YouTube and 1:09:09 Spotify and stuff like that still but uh 1:09:12 yeah I have a a listen to it and you 1:09:14 know we had a lot of fun making it and 1:09:16 and for anybody who thinks oh my gosh 1:09:18 this is so good but I I don't have time 1:09:20 in my life this entire 11p part 1:09:23 miniseries from idea to what you're 1:09:26 looking at on the screen took less than 1:09:28 three hours on Sunday yeah yeah yeah and 1:09:32 it's you know that that gets into 1:09:35 this the the the boundary between sort 1:09:38 of vibing right just sort of Meandering 1:09:42 with 1:09:42 AI and then and then realizing oh I want 1:09:45 to turn this into something like you can 1:09:48 you can very very quickly go from no 1:09:51 concept to being inspired by something 1:09:53 to like oh I could just go make that 1:09:56 right now um is is really quite 1:09:58 remarkable so yeah awesome congrats 1:10:01 thank you and there's a Tik Tok pin for 1:10:03 you bye okay cool 1:10:05 thanks groovy all right unknown Detroit 1:10:08 uh we made a backlog backlog because our 1:10:11 backlog got so 1:10:12 [Laughter] 1:10:16 big that's [ __ ] genius and then 1:10:19 whoever had the comment pod setion that 1:10:22 that um Brandon using jelly pod to make 1:10:25 a podcast about making podcasts is 1:10:28 conception perfect and and we don't have 1:10:30 to use the word 1:10:34 meta oh we got the comedy coming in the 1:10:37 backlog 1:10:38 backlog ohh it like that would be an SNL 1:10:42 skit if if there were more programmers 1:10:45 in the 1:10:46 world but but if you've ever put 1:10:48 something in the backlog you know that 1:10:51 [ __ ] ain't coming out of it 1:10:57 oh man all right so apparently the 1:10:59 Irregulars have been up to some stuff so 1:11:01 let me go look at the 1:11:05 Irregulars the Irregulars Channel by the 1:11:07 way if you go down if you're in the 1:11:08 salon go down to clubs and 1:11:11 hubs and 1:11:14 uh the Irregulars is the the channel for 1:11:19 this for this live session oh that's 1:11:20 cute fish out of water here yeah little 1:11:23 Rainbow chout those are the ones they 1:11:24 stock right 1:11:29 Sora is 1:11:30 [Laughter] 1:11:38 weird was self flagellation the the the 1:11:45 prompt that's pretty funny oh man um 1:11:49 what were we going to do I was going to 1:11:50 go to lovable all right so so I don't 1:11:53 have a ton of time but but I I'll just 1:11:56 I'll just show you a couple of 1:11:58 things excuse 1:12:01 me um is this yeah okay so that's that 1:12:07 let me go show you one other 1:12:09 thing is this it generative news 1:12:23 dashboard wait where's my publish stuff 1:12:26 hang on a sec go to 1:12:30 dashboard my Project's 1:12:44 latest oh I think it's generative I 1:12:47 think this is 1:12:49 it copy plus 1:12:57 hydrate we have 45 1:13:02 minutes thank 1:13:04 you all right I created a bug bash tag 1:13:08 for when people were looking for work at 1:13:10 the end of a 1:13:11 Sprint yeah I like that's the thing 1:13:15 Gareth a good product 1:13:17 manager um will proactively dig into the 1:13:21 backlog I just we we've we've had too 1:13:23 many product managers that suck 1:13:27 if there were more programmers in the 1:13:29 world the world would run much better or 1:13:33 or the world would have wait what's 1:13:35 generative G 1:13:38 inative oh not found oh G generative got 1:13:47 it okay let's see if this thing still 1:13:49 functions if it does it'll be a 1:13:53 miracle okay so what you're looking at 1:13:56 here this was the first app that I 1:13:59 published out of lovable so I'm at 1:14:01 lovable. 1:14:03 deev 1:14:06 Lov abl L 1:14:09 dodev and then you can just talk apps 1:14:13 into existence now they're web apps so 1:14:16 some of the other coding tools like 1:14:18 cursor and bolt and repet they can do 1:14:21 other kinds of of coding um lovable is 1:14:24 just doing web apps but most of what we 1:14:27 use these days is some version of a web 1:14:29 app so you can do very very 1:14:31 sophisticated stuff with just web apps 1:14:34 um so this was a thing that I created 1:14:37 called the AI Salon newsomatic it's got 1:14:39 15 RSS feeds that it draws from it goes 1:14:42 out and grabs new sources uh categorizes 1:14:46 them into into six categories if you 1:14:49 click on any one of these tabs it 1:14:51 filters the list below um this it's got 1:14:55 some cool scrolling effects like this 1:14:57 Scrolls underneath that other thing I 1:14:59 didn't touch a line of code to build 1:15:01 this if I click on any one of these 1:15:04 panels it gives me the summary if I 1:15:06 click on the title of the news 1:15:08 article it takes me to that news article 1:15:12 like this is a real actual 1:15:18 usable usable site now how you find this 1:15:21 if you're in the AI 1:15:23 Salon if you go to on the left hand side 1:15:25 you go to our news area where it says 1:15:27 latest news AI news and then the salon 1:15:31 newsomatic is a little tab there and you 1:15:33 can actually that'll jump you over and 1:15:35 you can go grab that site it's it's 1:15:37 pretty cool that took me about two hours 1:15:41 okay so my current thing is another news 1:15:45 site and the I I don't know why I'm 1:15:47 doing news sites I think it's because 1:15:49 because I'm not really a programmer I'm 1:15:52 not constantly thinking about app ideas 1:15:55 um but this is one that I thought was 1:15:57 cool and the basic premise of this so 1:15:59 what you're looking at here and this one 1:16:01 is if you go to the angle. lovable. 1:16:05 apppp if you can pop that up on screen 1:16:08 Brandon the angle. lovable. apppp so 1:16:11 this is a concept for a news site called 1:16:13 the angle and and the concept is one 1:16:16 story six points of view and so what 1:16:19 I've got is for the the article in the 1:16:23 center um over here on the the right 1:16:25 hand side are six different personas 1:16:28 that represent kind of the spectrum of 1:16:30 that section this is politics so we've 1:16:33 got a progressive reformer a liberal 1:16:35 pragmatist we've got a Centrist 1:16:39 moderator um we've got a conservative 1:16:41 traditionalist we've got a populist fire 1:16:43 brand and we've got a Libertarian 1:16:46 individualist and then for each article 1:16:49 the personas rank it do I strongly agree 1:16:52 or strongly disagree and then they 1:16:54 comment on it you can expand these and 1:16:56 you can roll over these and it teaches 1:16:58 you about that who that person 1:17:01 is so it's a cool concept but at this 1:17:04 point it's just fake data and I sort of 1:17:06 put it out in the world um as as a you 1:17:09 know as a prototype and said hey does 1:17:11 anyone think this is cool I had one guy 1:17:13 go don't do it it's been done 1:17:17 before [ __ ] 1:17:20 kogin there's always someone who will 1:17:22 [ __ ] on your idea you know um 1:17:26 and just because it's been done before 1:17:27 doesn't mean it's good 1:17:32 um lail is for 1:17:36 drinking 1:17:38 um the angle. lovable. app so anyway so 1:17:41 you can go play with it you can click 1:17:42 through you can you know sort by 1:17:44 different 1:17:45 categories 1:17:47 um you can Resort you know it it starts 1:17:51 with uh agreeable at the top but you can 1:17:53 flip that so it's disagreeable at the 1:17:55 top so it's a cool pretty sophisticated 1:17:57 app now it's got some problems like if 1:17:59 you open it on 1:18:00 mobile it it's shitty the main article 1:18:03 disappears and you know you end up with 1:18:06 with with this view wait that view which 1:18:10 is not usable because the main article's 1:18:13 gone and you know you can sort of scroll 1:18:16 and see what the people are saying about 1:18:17 it but so like that's something we need 1:18:19 to fix and then also it's not doing real 1:18:22 retrieval and it's not doing real 1:18:24 commentary 1:18:26 generation so so that's the thing that 1:18:30 we're going to work on and let me go 1:18:33 back out to my 1:18:36 dashboard and I will pick that project 1:18:40 and so I've been working on it so it's 1:18:41 not going to look quite like what I just 1:18:42 showed 1:18:45 you 1:18:49 um all right so so here's one of the 1:18:52 here's one of the frustrating things 1:18:55 that that 1:18:57 happened so I told it to go out and get 1:19:00 real news stories which I'm not quite 1:19:01 sure if it does 1:19:04 yet um let's see Source Camp I made a 1:19:07 lovable app today once it was done it 1:19:10 was awesome but getting there was 1:19:12 Madness I 1:19:14 know I loved your Tik Tok on the angle 1:19:16 oh cool thank you I appreciate that 1:19:20 cam um Facebook's been done before too 1:19:24 it was called Myspace 1:19:26 exactly 1:19:27 exactly so anyway and also I figure if I 1:19:31 do these personas right like right now 1:19:33 they're just stupid little 1:19:35 cards but you could get really creative 1:19:38 with those and you could also 1:19:41 um quite honestly you could you could 1:19:44 have them all have really interesting 1:19:47 you know image personas and then you 1:19:49 could even use synthesized voice for 1:19:52 them and and have them comment on the 1:19:54 story 1:19:55 right and like you could just instead of 1:19:57 rolling over them and seeing about you 1:20:00 know their bio you could roll over them 1:20:02 and it would just start talking about 1:20:04 the article like that would be super 1:20:05 cool 1:20:06 right so so I think I might play around 1:20:10 with um just [ __ ] around with this 1:20:14 thing over a series of days and and not 1:20:17 always on here but maybe sometimes on 1:20:20 here um and see if I can get something 1:20:22 that's that's more sophisticated 1:20:25 um Brandon I want to give it an article 1:20:28 to analyze it's it doesn't analyze them 1:20:30 yet like right now it's just a clickable 1:20:32 prototype so that's that's what we need 1:20:34 to do all right so what I asked it I 1:20:36 said I said okay let's start with 1:20:40 um well all right what do I want to show 1:20:43 you let me show you one other thing I'm 1:20:46 gonna hop over to chat 1:20:49 GPT we'll start a new chat and then 1:20:55 hedra AI content creation hang on let's 1:20:59 see 1:21:01 um let's see 1:21:10 Json wait what instead of an RSS 1:21:17 feed oh an API I'm I'm just going to 1:21:21 come up because it's easier than 1:21:22 trying uh what I was saying I I I'm with 1:21:25 um Source Camp I love the the angle U I 1:21:28 think it's a really great concept I was 1:21:30 saying in addition to the RSS feed I 1:21:32 would like to be able to just feed it an 1:21:34 article and have it hold different 1:21:36 perspectives uh give it my own URL 1:21:39 that's all yeah yeah yeah that's really 1:21:40 good so so one thing I wanted to show is 1:21:45 this big long chat GPT chat that I that 1:21:48 I had so before I went 1:21:50 to um before I went to lovable and this 1:21:55 is you know Vibe coding the way I'm 1:21:58 thinking about it is is um in its purest 1:22:03 form is you go in without an idea but I 1:22:06 don't think that's necessarily the case 1:22:08 I think you might go in intentionally 1:22:09 and say Hey I want to do a 1:22:11 thing but I used chat 1:22:17 GPT their reasoning models um to really 1:22:21 help me think about this so so what I 1:22:23 did was I said I want you to serve as a 1:22:26 strategist for an app I want to design 1:22:28 it pulls popular news 1:22:30 feeds um from RSS or public um and then 1:22:34 I wanted to create an interface that 1:22:36 takes multiple points of view in the 1:22:38 form of personas perhaps farle lean left 1:22:42 neutral lean right far right or ideally 1:22:45 something more sophisticated right so I 1:22:47 kind of explained what I wanted and then 1:22:49 you know it it gave me feedback on it 1:22:52 and then it generated some some 1:22:54 character 1:22:56 characters 1:22:57 um and then I then I asked it about how 1:23:01 could personas appear in the app like 1:23:03 what kind of interface should it be and 1:23:05 I had two ideas and I said give me your 1:23:08 feedback on those two ideas one was the 1:23:10 three column thing one was like news 1:23:12 story in the Middle with like a circle 1:23:15 of personas around it um and then I had 1:23:18 it come up with an idea YouTube 1:23:22 comment the analyze Fe in the 1:23:27 backlog exactly well I'll tell you what 1:23:31 you you know what's funny Gareth is 1:23:35 um when you're working with a tool like 1:23:38 lovable one of the things I find myself 1:23:41 doing 1:23:43 is okay in any given 1:23:46 application you've got major [ __ ] and 1:23:49 you've got minor [ __ ] right but as a 1:23:52 bitter gen xer it's the minor [ __ ] that 1:23:55 drives me [ __ ] baty so I'll be like 1:23:57 working on something like let's get the 1:24:00 apis set up and then you know it fails a 1:24:04 time or two and then I'll notice that 1:24:05 like the roundness of the button is like 1:24:08 too tight and I want to more round so 1:24:10 I'll spend like a [ __ ] hour trying to 1:24:13 dial in the interface in the middle of 1:24:16 trying to work on the API thing and you 1:24:18 know then I just get frustrated because 1:24:20 I I just keep going in circles and it 1:24:22 keeps [ __ ] up the application because 1:24:24 I want to to fix a corner radius which 1:24:26 now with lovable you can actually just 1:24:28 go fix interface elements so that's nice 1:24:30 but um but that's that's one of the 1:24:32 challenges with these tools is you can 1:24:34 just keep running down rabbit holes and 1:24:36 [ __ ] up your app um anyway okay so so 1:24:40 I had to give me analysis on interface 1:24:43 and make a 1:24:44 recommendation like three column news 1:24:48 views um quadrant map and Persona bar 1:24:51 like I kind of like the idea of a 1:24:52 quadrant map the idea with a quadrant 1:24:54 map was you have the article and then on 1:24:57 some sort of quadrant map you sort of 1:24:59 put you know where in the spectrum is 1:25:02 this article is it left leaning right 1:25:04 leaning is it like conspiratorial or 1:25:07 factual or something like I don't know 1:25:08 or opinion or factual whatever it might 1:25:11 be and I kind of bailed on that because 1:25:13 I didn't quite know like like there's 1:25:15 even bias in how you set up a quadrant 1:25:18 like that and then how you analyze this 1:25:20 so I didn't want to do that because it 1:25:21 just felt like I I don't know it felt 1:25:23 like that would be part of the problem 1:25:25 rather than the 1:25:26 solution um story Spotlight with 1:25:28 rotating Persona Carousel um so then it 1:25:31 it gave me um a 1:25:35 uh 1:25:38 recommendation 1:25:39 um then I had it 1:25:43 um come up with story ranking like 1:25:46 what's the story ranking framework like 1:25:48 how do we choose stories to put in the 1:25:51 site um it had it do that then I had it 1:25:54 write all the personas um and then today 1:25:57 when I was thinking about going back 1:25:59 into it today I came back into this chat 1:26:02 and so I took I I basically I had this 1:26:04 big long conversation with it and then 1:26:06 at the end of that I said write me up a 1:26:09 software spec that doesn't include like 1:26:12 don't tell me what software to use 1:26:14 things like that just give me the basic 1:26:16 description of the app and so I copied 1:26:19 and pasted that into lovable so how I 1:26:21 started the The Lovable thing was with 1:26:24 an out put from chat 1:26:27 GPT um after a pretty long conversation 1:26:29 then today I came back into it and I 1:26:32 thought like one of the things I've been 1:26:33 thinking about is because a lot of the 1:26:35 questions I've been getting when I put 1:26:37 this thing out to the world are like 1:26:40 well how did you decide who the personas 1:26:42 were and and how did you decide how 1:26:45 they're commenting on the Articles and 1:26:47 what are the decisions and things like 1:26:49 that so I don't really give too much of 1:26:53 a [ __ ] about mechanically how it's done 1:26:55 but but I I do want to understand it and 1:26:58 I want it to be consistent across the 1:26:59 site like I don't want it to be 1:27:01 different per Persona I want it to be a 1:27:03 framework right and so I came in 1:27:08 today this is a long chat there was a 1:27:11 lot of stuff in 1:27:12 here yeah this was this was oh one of 1:27:15 the things I realized was that each 1:27:17 different section of the news should 1:27:19 have a different set of personas right 1:27:22 because if you're in politics you're 1:27:24 going to have leans right leans left 1:27:25 that sort of thing but what if you're in 1:27:26 the sports section well you should 1:27:28 probably have like a franchise guy and a 1:27:31 and a you know I I don't know someone 1:27:33 who just you know likes sports or 1:27:35 whatever you know casual casual fan 1:27:38 whatever um so it came up with all those 1:27:41 and then 1:27:44 today I wanted it to come up with 1:27:48 um like a data schema right so 1:27:54 so for each Persona like I want to I 1:27:57 want to create what's the what's the 1:27:58 Json what's the data schema for all of 1:28:02 the elements we want to know about the 1:28:05 personas because if we have that set up 1:28:07 then it's going to make it easy to to 1:28:09 put that in a document or ask chat GPT 1:28:12 hey here's the basic schema give me six 1:28:15 new personas or you know make these 1:28:17 personas more detailed but follow the 1:28:19 basic schema and then we can gohe and 1:28:21 swap that in and out in the uh in the 1:28:24 application 1:28:25 right and so it did that pretty good and 1:28:28 I got about halfway through that and I 1:28:30 and then I got a little bored with it or 1:28:32 no I didn't get bored with it I was 1:28:33 actually at work running my company I 1:28:37 had to go do I had to go do you know 1:28:39 paid work for my 1:28:42 company um okay so and then I came over 1:28:47 here and so the first thing I did was 1:28:49 rather than deal with the personas I 1:28:51 thought let me just take major elements 1:28:54 of a time so we were not pulling real 1:28:57 news stories so so the first thing I I 1:28:59 said is I want to switch from um fake 1:29:02 data to actually pulling the news 1:29:05 stories from actual 1:29:07 sources and it [ __ ] up so when when 1:29:11 you switch categories it changes the 1:29:13 color for that category which is cool so 1:29:16 here's politics you know here's 1:29:19 Tech here's sports but there's there's 1:29:22 an all category and if you click the all 1:29:24 category it used to display multiple 1:29:28 cards but now when you pick the all 1:29:30 category it it it filters it to 1:29:33 Lifestyle and culture um now here's 1:29:36 another thing 1:29:41 okay th this is probably a relatively 1:29:44 straightforward indexing problem where 1:29:47 it's just cross mapped all categories 1:29:49 with lifestyle and something like 1:29:51 there's probably an ID number that is 1:29:53 just wrong 1:29:55 that if I knew anything about code I 1:29:57 would know where to go look for that I 1:30:00 don't and and I don't particularly give 1:30:04 a [ __ ] about learning code well enough 1:30:06 to go fix that myself so this is 1:30:09 probably a 1:30:11 problem that if you knew something about 1:30:14 code in 10 minutes you could go find it 1:30:16 and fix it but if you don't know 1:30:18 something about code again my job here 1:30:21 is to be the town fool to be the idiot 1:30:23 so you don't have to or to at least 1:30:26 validate that when you're like it should 1:30:29 just [ __ ] fix this I will be that 1:30:33 Madness for you I will be that rage so I 1:30:37 have now tried to fix this three or four 1:30:38 times 1:30:40 so it's recommending that I refactor 1:30:43 some code all right let's see what do we 1:30:46 got here have you copied and pasted all 1:30:49 of your code into GPT to fix it no I 1:30:52 haven't because I haven't quite Frank 1:30:55 even looked at all the code waiting for 1:30:57 the sandbox like here's all the code 1:30:59 like look at it 1:31:00 all it's yeah I mean I could I I could I 1:31:06 could go look at [ __ ] but I'm trying to 1:31:09 be Vibe coding here man I'm trying to be 1:31:12 like dude 1:31:14 man I'm as much of a pain in the ass 1:31:16 with lovable as I am to my developers 1:31:19 which is they're like well what are the 1:31:22 acceptance criteria for this applic and 1:31:25 I'm like the acceptance criteria are 1:31:28 that it should [ __ ] 1:31:35 work I'm such an [ __ ] okay uh it's a 1:31:39 lot of work but it works for me yeah 1:31:41 it's probably not a bad idea 1:31:44 okay so I have now told it three times 1:31:47 that when I select all 1:31:50 categories it's showing me lifestyle and 1:31:52 culture and it says it fixes it 1:31:54 and then it 1:31:56 doesn't so let's go try it again um 1:32:01 hey you have told me you 1:32:07 fixed the 1:32:11 filtering issue with all 1:32:16 categories 1:32:19 but it's still 1:32:22 only displaying 1:32:29 lifestyle 1:32:31 articles 1:32:33 and 1:32:36 colors try something 1:32:40 new and you 1:32:43 know how you talk to these things is 1:32:45 just like how you would talk to a 1:32:47 programming team except with the 1:32:49 programming team You' it'd be days in 1:32:51 between your ability to comment on [ __ ] 1:32:54 oh my god I've wanted to say that to my 1:32:56 devs hundreds of times do we need 1:32:58 acceptance criteria of it will 1:33:01 work Gareth you'll appreciate this I've 1:33:03 said this on the channel before I don't 1:33:05 know if you've heard me say it but um 1:33:09 the the company that does our Tech 1:33:10 development right now um when we first 1:33:12 started working with 1:33:15 them our site did something and I wanted 1:33:17 the ability to to turn that something 1:33:20 off right I wanted you know the toggle 1:33:22 to be able to turn it off whatever the 1:33:24 thing it was that it was doing 1:33:25 displaying something or whatever and so 1:33:29 you know it takes them three weeks they 1:33:30 build it and they're like okay you can 1:33:31 go test it now I'm like great so I log 1:33:34 into the site and there's the button 1:33:37 that I asked for and I push it and it 1:33:41 correctly you know undoes whatever the 1:33:43 thing it that it was doing and then I 1:33:47 and I go to like redo it I'm like I go 1:33:49 to turn it back 1:33:51 on and I can't and I can't I could turn 1:33:56 it off but I couldn't turn it back on 1:33:58 and so so on the next call I'm like are 1:34:02 you [ __ ] kidding like like I I could 1:34:05 turn it how do I turn it back on and 1:34:08 they're like oh you didn't specify 1:34:12 that you didn't specify I'm like I asked 1:34:15 for a light switch I asked to be able to 1:34:17 turn off the light switch is it not 1:34:20 implied that you could turn it back on 1:34:26 I'm like [ __ ] Engineers just think 1:34:28 different than I 1:34:30 think all right it it looks like it 1:34:32 fixed our thing but but 1:34:34 now um oh we've got oh this is this is a 1:34:37 bug related to infinite scroll okay 1:34:40 great so at least we know what's going 1:34:42 on now okay looks like you fixed it um 1:34:48 but the 1:34:51 infinite scroll 1:34:54 seems I don't think infinite scroll is 1:34:57 even the right term but whatever it 1:34:59 knows what I'm talking about seems uh to 1:35:02 be buggy and um how would you describe 1:35:08 this and um is caught in a loop caught 1:35:12 in a 1:35:13 loop all right let's see if it'll fix 1:35:18 that and by the way if you if if you 1:35:21 haven't tried lovable like 1:35:25 at this point I'm I'm talking about an 1:35:28 app that sort of exists but to create a 1:35:31 new thing you can literally just go in 1:35:33 and say I want an application that does 1:35:37 blank x y and z whatever it might be and 1:35:40 it will it it will first the first thing 1:35:43 that it does is it'll put together a 1:35:46 little plan and it says I'm I'm thinking 1:35:48 about doing this do you like that plan 1:35:50 and you can tell it Pearson can't help 1:35:52 me now 1:35:55 well he's working on his own thing I 1:35:57 gotta tell you I'm I'm super impressed 1:35:58 by Pearson that he's just in there 1:36:00 [ __ ] hacking the back end trying to 1:36:02 fix [ __ ] I love that that's such a cool 1:36:05 thing all right did it fix it it looks 1:36:09 like it did something here let me let me 1:36:11 reload the 1:36:16 page that's crazy Common Sense always is 1:36:19 isn't apparent um my my uh Erin Sugarman 1:36:23 the guy that was uh president of North 1:36:25 America when I was doing agency.com I 1:36:27 had I had a similar kind of problem and 1:36:29 I I went into his office and I closed 1:36:30 the door and I'm like I'm like how are 1:36:33 they [ __ ] this up this bad Aon I'm 1:36:35 like I'm like it's common sense and he 1:36:38 just he was really a calm dude really 1:36:40 Zen he just looked up up at me and he 1:36:42 went Kyle Common Sense isn't common I 1:36:46 was like 1:36:47 [ __ ] so 1:36:49 true okay um let's go here still broken 1:36:56 I think I think what I might do here is 1:36:59 let's see if it if it fixes it this time 1:37:02 I'll debug the infinite scroll issue 1:37:05 more 1:37:06 thoroughly I'll look at the console logs 1:37:09 I can see there's an issue with the 1:37:10 infinite scroll being triggered but then 1:37:13 skipping loading due to some State 1:37:15 conflicts yeah this is State management 1:37:17 issues for 1:37:20 sure Pearson hacking the back end means 1:37:24 bugs tomorrow absolutely it does but you 1:37:27 know what I I mean 1:37:29 seriously I think I think I would rather 1:37:31 well in fact I've 1:37:35 got we we we we had a team of like three 1:37:39 different Engineers that were not 1:37:41 getting [ __ ] done for like a year they 1:37:43 just couldn't get anything 1:37:44 done and so I kind of lost my [ __ ] with 1:37:47 the with the dev the dev company and I 1:37:50 said give me someone who can [ __ ] do 1:37:53 something and 1:37:54 I don't know if I said it quite that 1:37:56 rude but I was pretty pissed we were 1:37:58 over there they're in Prague which is 1:38:00 Prague is beautiful um and uh so they 1:38:04 gave us this Rockstar developer and he 1:38:07 and I got on great because he would just 1:38:10 go build [ __ ] I'd say oh here's this 1:38:12 idea and he would go build it and he 1:38:14 built this really amazing um prototype 1:38:17 of this AI product and we've been trying 1:38:19 to incorporate what he built into our 1:38:22 platform for like five months now it's 1:38:25 like it's so painful because because 1:38:27 they're like back to acceptance criteria 1:38:29 they're like well what do you want it to 1:38:31 behave like I'm like I want it to behave 1:38:33 like the thing you 1:38:34 built you built a thing you have a 1:38:37 reference application that I'm happy 1:38:39 with I want it to be that good or better 1:38:42 like here it is and then I go in there 1:38:45 I'm like why is this not here oh that 1:38:48 that did you want that I'm like it's 1:38:51 here yes I did see how this works this 1:38:55 is what I'm happy with see how this 1:38:57 looks like [ __ ] not 1:39:01 happy oh my God so yeah I think I would 1:39:05 rather have buggy software and get [ __ ] 1:39:07 done than not okay this thing is all 1:39:09 [ __ ] up I'm gonna say um 1:39:12 remove 1:39:15 infinite 1:39:17 scroll for now since we 1:39:21 are limiting each 1:39:25 section to four 1:39:30 stories 1:39:32 initially um so this was this was one of 1:39:35 the things that um I talked with chat 1:39:38 GPT 1:39:39 about so the way this site's going to 1:39:42 work it's going to go fetch news stories 1:39:44 it's then going to take those news 1:39:46 stories and and pick the six personas 1:39:51 and then do a prompt per Persona about 1:39:53 the new story right so that it's got to 1:39:55 create their response and their 1:39:57 ranking and so I thought if you're going 1:40:00 to do that in real time the site's going 1:40:02 to be really slow right because you got 1:40:04 to go you got to pick the article and 1:40:06 then you've got to send out these 1:40:07 prompts for each of these 1:40:09 people um so I thought why not like on a 1:40:13 regular basis like every four hours or 1:40:16 whatever whatever the the thing is go 1:40:19 get some news stories and then 1:40:21 pre-populate all of the persona respon 1:40:24 so the s's really fast with like four 1:40:26 stories per 1:40:28 category and then the user can ask for 1:40:31 you know either as Brandon suggested you 1:40:34 know go grab me this specific article or 1:40:37 go get me more articles in in these 1:40:39 categories and then you you have some 1:40:42 sort of way of indicating that they're 1:40:43 thinking about it right maybe maybe you 1:40:46 do animations of them going hm I'm 1:40:49 [Laughter] 1:40:51 reading um oh yeah yeah the okay so so 1:40:56 the the reason I came back in here and 1:40:58 started working on 1:41:01 this one is I think this is kind of a 1:41:03 fun idea and this is a site that I would 1:41:06 love to be able to 1:41:08 use um but lovable today just announced 1:41:11 they're having a contest it's a it's a 1:41:14 collaboration between 1:41:15 lovable andth thropic and superbase so 1:41:19 superbase is incorporated into um 1:41:23 lovable like up here if you click 1:41:26 on the super base icon you can set up 1:41:29 projects and so I can have a database 1:41:31 back end for this and you know users and 1:41:33 stuff like that and I can use superbase 1:41:35 so cool that's great and then I can use 1:41:38 anthropic as the API um and if if they 1:41:42 select your app then I don't know what 1:41:44 you win probably they'll tweet about 1:41:49 it so I I don't know if there's money 1:41:52 there but I thought wouldn't it be nice 1:41:54 to just you know let's make this thing 1:41:56 work and then and then go do it oh look 1:41:59 it it took out my infinite scroll and 1:42:01 now I don't have the State Management 1:42:03 [ __ ] 1:42:04 nightmare um except this is 1:42:09 weird this article is not in this 1:42:14 list [ __ ] 1:42:17 [ __ ] comedian okay these 1:42:20 work so what happens if I'm here 1:42:27 oh I see what it I see what it's there's 1:42:30 I see what's broken about it 1:42:34 okay 1:42:36 okay it looks like you are 1:42:41 limiting the all 1:42:47 categories View 1:42:50 to a hard limit of for 1:42:58 articles that's not 1:43:03 right it should be a 1:43:06 complete list of all 1:43:11 articles in 1:43:13 order 1:43:15 of 1:43:20 importance ranking 1:43:23 all right let's see what it does with 1:43:27 that it wasn't in the acceptance 1:43:30 criteria that it had to be in the list 1:43:31 lovable hackathon yep could you use 1:43:35 microservices possibly I don't I I only 1:43:38 know enough about microservices to know 1:43:40 that they're cool and and we use them we 1:43:44 use them in the storyvine uh application 1:43:46 a fair amount 1:43:48 um one of the things that I was thinking 1:43:51 about doing here 1:43:55 and and lovable seems decently smart 1:43:57 about services and reuse of stuff but 1:44:00 one of the things that I was thinking 1:44:01 about doing is I I think one of the 1:44:03 things that that we run the risk 1:44:05 of is that this is going to treat 1:44:08 different because different news 1:44:11 categories have different personas that 1:44:13 it might start treating Persona ranking 1:44:17 and how they comment different per 1:44:19 section and so what I was thinking about 1:44:21 doing was having love create a 1:44:25 single 1:44:27 um like a like a an application object 1:44:31 that is a news category but I but I 1:44:33 don't know like I don't know enough 1:44:34 about it I know conceptually enough 1:44:37 about it but I I don't this is one of 1:44:40 the fascinating things about about Vibe 1:44:43 coding particularly for people that like 1:44:46 like me I know enough to get me in 1:44:49 trouble um there's a guy named HT snow 1:44:53 that I used to work with and he put 1:44:55 together a contest in his company and 1:44:58 the contest was to use AI to build a 1:45:02 game um and that people had half an hour 1:45:05 to do it and and there were like 40 1:45:07 people in the room and the only people 1:45:10 that did not succeed in making a game 1:45:13 were the 1:45:15 engineers because the engineers had the 1:45:18 burden of knowing how games are made so 1:45:22 they ask things like okay I need a a 1:45:25 particle system with a gravitational 1:45:27 pull where the objects emerge from the 1:45:29 top of the screen and are drawn to the 1:45:32 bottom of the screen with right you know 1:45:33 they're describing the functionality and 1:45:36 the people that didn't know anything 1:45:38 about programming were like I need a 1:45:40 game where [ __ ] falls from the sky and I 1:45:42 have to catch it and AI was able to 1:45:44 build that so I feel like there's a 1:45:47 similar sort of thing here where I feel 1:45:51 like too much coding knowledge with 1:45:54 these tools runs the very real risk of 1:45:56 [ __ ] things up as much as as not 1:45:59 knowing enough pay pin so what's the 1:46:02 situation if your site becomes 1:46:04 successful is it just crazy expensive 1:46:07 probably pay well 1:46:09 so this is so it's a great 1:46:12 question so one of the things that when 1:46:15 I built um when I 1:46:18 built this app no not this one when I 1:46:22 built uh the other app the the the news 1:46:26 one this one 1:46:29 newsomatic um it initially specified 1:46:33 like an AP AP newswire API and I was 1:46:38 like wait a minute does that cost money 1:46:41 and it was like yes it does I'm like no 1:46:44 no no no no no no go get me RSS feeds so 1:46:49 so yeah so I uh 1:46:54 like if this became I I think what I'll 1:46:57 do is I'm gonna I'll I'll come up with 1:46:59 whatever the base concept of this thing 1:47:01 is I'll do it with like RSS feeds or 1:47:04 free 1:47:05 apis um I'll do it with one of the cheap 1:47:10 large language model things I think if I 1:47:13 do it as this hardcoded thing where it's 1:47:15 it's only running the queries against 1:47:18 the the personas once every four hours I 1:47:21 can kind of limit that artificially and 1:47:23 then if it becomes popular and people 1:47:25 are like well we want this to be dynamic 1:47:28 and then either I sell it or I'll I'll 1:47:31 Shuffle it off to someone else to 1:47:32 develop it you know that actually knows 1:47:34 what they're doing so it's a great 1:47:35 question though all right so look it it 1:47:38 actually fixed our thing we've got a 1:47:41 bunch of different stories 1:47:46 here now it also looks like it 1:47:48 wrote okay all right so that's so that's 1:47:51 good enough for now 1:47:54 so so it says it got these things just 1:47:56 now Innovative sustainable so let me ask 1:47:59 it something tck uh ticktock pin I'm a 1:48:03 toddler in a self-driving car without a 1:48:06 map we'll get there this is this is 1:48:09 really good hey do me this is really 1:48:11 good this is a good 1:48:13 metaphor dang it hang on I'm trying to 1:48:16 expand your little talk 1:48:19 bubble but I don't know where we're 1:48:21 going yeah that's that's exactly I don't 1:48:24 know if you were here earlier hey me but 1:48:26 I was talking about I feel like we're 1:48:28 all fish that were raised in a concrete 1:48:30 tank and then they scooped us up and put 1:48:33 us in a truck and drove us to a river 1:48:35 and threw us into a river it's still 1:48:38 water we're still swimming but it is a 1:48:41 completely different environment like we 1:48:43 have we are in no way prepared to deal 1:48:47 with all this [ __ ] so all right oh and 1:48:51 by the way um it's really true 1:48:53 yeah the salon so go to so hey hey. me 1:48:57 go to the 1:48:58 salon. scroll down a little bit click on 1:49:01 the link that says join our community so 1:49:03 the AI Salon is a community of about 1:49:05 3,000 people that are AI optimists who 1:49:08 are all trying to figure this [ __ ] out 1:49:10 here's what makes the salon different 1:49:12 there are lots and lots and lots of AI 1:49:15 communities a lot of them focus on the 1:49:18 technology of AI right what are the 1:49:21 weights and what are the models and what 1:49:22 are the open source and what all the all 1:49:26 the [ __ ] that AI has been for 30 40 50 1:49:30 years is how do we build these tools to 1:49:33 be good 1:49:35 right the AI Salon was founded the week 1:49:39 after chat GPT launched I'm looking at 1:49:42 the launch of chat GPT November 30th 1:49:45 2022 as the beginning of a new 1:49:48 era where Ai and machine learning has 1:49:51 been democratized to the 1:49:53 98.5% of us that are not engineers and 1:49:58 researchers we're just people trying to 1:50:00 use this [ __ ] we're trying to figure out 1:50:02 what does this mean for my job what does 1:50:04 this mean for my life can I write a 1:50:06 musical if I already wanted to write one 1:50:08 yeah you can right like what it means is 1:50:11 remarkable but it's but it is literally 1:50:14 we're not a fish out of water we're a 1:50:16 fish in very different water right um 1:50:20 and so that's what the salon's all about 1:50:22 so go join in the salon and the there's 1:50:24 a little like seven-step welcome process 1:50:26 step two is introduce yourself be 1:50:29 generous about how you introduce 1:50:31 yourself use your real name go in there 1:50:32 and say Here's what I'm doing here's 1:50:34 what I'm trying to figure out I'm 1:50:36 excited I'm scared I'm 1:50:38 whatever and it is a remarkably powerful 1:50:42 Community because it's full of people 1:50:44 that are generous and smart and curious 1:50:48 and fun and playful and it takes a lot 1:50:52 of the pressure off having to learn AI 1:50:55 all right followup pin oh okay I'm going 1:50:59 and no I'm product play Creative big 1:51:02 picture yeah so you're G to be great at 1:51:04 AI I I'm describing AI 1:51:07 as um couple of things the the era is re 1:51:11 revenge of the liberal arts major I 1:51:13 think people that have broad 1:51:15 perspectives are going to be superstars 1:51:18 in a generative AI world I think people 1:51:21 that are too narrowly focused are going 1:51:22 to struggle unless they can kind of come 1:51:24 up get their head above water and look 1:51:26 across they call it a t-shaped 1:51:28 personality where you're really good at 1:51:30 one thing but you also have perspective 1:51:32 across 1:51:34 disciplines um I think those are going 1:51:36 to be like unicorns people that can do 1:51:38 the the horizontal thing really well but 1:51:40 then go deep in a particular area um but 1:51:43 you're right Kyle not knowing coding is 1:51:46 is the Bumblebee that doesn't know he 1:51:48 can't fly yeah I'm niche as [ __ ] and 1:51:51 don't know anything about AI 1:51:54 yeah yeah Pate doesn't know anything 1:51:56 about Ai and is working on making the 1:51:59 machines that make AI U more efficient 1:52:02 and make AI better which is pretty cool 1:52:05 um okay let me get back to this for a 1:52:07 second and then we'll we'll kind of stop 1:52:09 for tonight um I just want to get it to 1:52:11 to to fix this article in the middle um 1:52:14 because right now it's it's like we've 1:52:17 got a short little description here and 1:52:20 then that's the only thing I've got here 1:52:21 there's no [ __ ] article 1:52:23 right I can click out to read the full 1:52:25 article latest entertainment story News 1:52:28 4 yeah this is not even pulling real 1:52:30 news yet uh so wait let's go tell it 1:52:32 that maybe that's what we need to fix 1:52:34 first 1:52:36 um it looks like we still have lots of 1:52:42 fake data in the news 1:52:48 feed I thought our goal was to 1:52:53 go get real news what up question 1:53:00 mark and by the way when I start when 1:53:03 you're able to just talk to these things 1:53:05 with voice and you can just sit back and 1:53:06 I could probably set it up right now 1:53:08 some version of 1:53:10 this um I'm gonna totally talk to these 1:53:14 things like no no loser you'll fix it 1:53:19 YouTube John Harris damn it Kyle I'm 1:53:21 still stuck on lovable now I'm gonna 1:53:23 have another subscription I know I know 1:53:27 I got a I got a note from Dr J today she 1:53:30 said um I went to lovable and I I I gave 1:53:33 it an app idea and now I have an app it 1:53:35 built me an app this is so cool it is 1:53:38 this is it this is pretty seriously cool 1:53:41 stuff um what why is this is this hung 1:53:45 did I hang it I think I hung it I 1:53:48 confused 1:53:49 it um 1:53:55 hello 1:53:57 hello reload 1:54:03 that copy 1:54:11 reload John Harris I have a new app I 1:54:14 get sucked in every time I watch yes 1:54:17 well that's listen here's the whole 1:54:18 point of this channel it is 1:54:24 none of 1:54:26 us none of us I don't care how [ __ ] 1:54:29 smart you are I don't care how 1:54:31 experienced you are I don't care if you 1:54:33 [ __ ] invented 1:54:36 AI none of us know what is really 1:54:41 possible with these 1:54:43 tools and you can't experience it until 1:54:46 you experience it which I know sounds 1:54:48 like a a yogiism a yogi Bea kind of 1:54:50 thing you you know you you can't exper 1:54:53 it until you experience it it's 1:54:54 impossible for someone to tell you what 1:54:56 AI is and what it makes possible because 1:54:59 it's so vast the whole purpose of this 1:55:01 channel is just to be in the 1:55:03 conversation enough to go like ah let me 1:55:06 give it a shot he seems excited about it 1:55:09 [ __ ] it and then you go there and you're 1:55:11 like oh my God I had no idea that's the 1:55:15 whole point of the channel is just play 1:55:17 play play do [ __ ] that you think you 1:55:20 would not be interested in do [ __ ] that 1:55:22 you think 1:55:23 that no that you know do [ __ ] that you 1:55:26 are absolutely convinced you have no 1:55:29 right to ever do let's say you're not 1:55:32 Technical and the last thing you could 1:55:34 have ever imagined in your life that you 1:55:36 would write a software application go 1:55:39 [ __ ] write a software 1:55:41 application it will blow your [ __ ] 1:55:43 mind and what it will do is it will 1:55:45 reveal to you oh [ __ ] every single 1:55:50 limitation that I thought I had 1:55:53 is about to be 1:55:56 obliterated and then what do you do with 1:55:59 that 1:56:01 information I don't know you start 1:56:04 asking yourself questions like well what 1:56:07 do I want to do in the world how do I 1:56:10 want to impact 1:56:12 people because my dream when I was seven 1:56:16 was too 1:56:19 blank and then stepdaddy told me I 1:56:21 wasn't talented 1:56:24 and I shut that down and I got my law 1:56:26 degree and I've been in a law practice 1:56:27 forever but my dream was always that 1:56:30 well go back to that right like that's 1:56:34 that's what we all have the opportunity 1:56:36 to do here so all 1:56:40 right hey me 1:56:42 um my mind blown we are [ __ ] haha so I 1:56:46 don't think well 1:56:48 okay I think that sentiment okay okay 1:56:51 let me let me show you one thing uh 1:56:54 Brandon if you could put the screen back 1:56:55 up I want to show something on the AI 1:56:57 salon so when you get to the AI 1:57:01 Salon there's a welcome video by myself 1:57:03 and my co-founder Leah uh and then we 1:57:06 talk about this journey to AI Readiness 1:57:08 which is play first mindfully create 1:57:10 generously lead but then right below 1:57:13 that there's this this little mini 1:57:15 article this so I stumbled 1:57:18 upon this Epiphany on a live about a 1:57:22 month ago 1:57:23 go and what hit me 1:57:27 was we are all going through or or are 1:57:31 going to go 1:57:33 through something akin to the five 1:57:35 stages of 1:57:36 grief but it's with AI and it's not 1:57:40 necessarily a bad thing but it's 1:57:41 definitely some 1:57:43 stages and and so I worked with chat GPT 1:57:46 you know live on the channel to really 1:57:49 look at 1:57:52 how is adopting AI on a personal basis 1:57:56 you know similar to the five stages of 1:57:59 grief and so so I actually mapped it to 1:58:01 the five stages of 1:58:03 grief and and what it what it created is 1:58:06 [ __ ] brilliant so the first stage is 1:58:08 dismissal or denial oh it hallucinates 1:58:11 it's just a prediction engine it's just 1:58:13 a stochastic parrot it can't be you know 1:58:16 it can't be original because it's just 1:58:18 been trained on stuff it's the world's 1:58:19 greatest plagiarism machine all of that 1:58:21 [ __ ] 1:58:23 is people living in 1:58:27 fear dismissing it because they're 1:58:29 afraid of 1:58:31 it and I and 1:58:33 listen 1:58:35 it from the outside AI is way [ __ ] 1:58:39 more terrifying way 1:58:41 more so that's stage one and I think 1:58:44 there's a lot of people in that I think 1:58:46 there's even people in that stage who 1:58:48 have tried chat GPT and maybe it maybe 1:58:51 it didn't give them what they wanted and 1:58:52 so they're like I've got time it's it's 1:58:54 a piece of [ __ ] I'm good I call me when 1:58:58 it's 1:58:59 decent 1:59:01 right stage two is the one stage two is 1:59:05 kind of the red pill blue pill moment 1:59:08 where once it happens thank you so much 1:59:09 who gave me that bunny thank you so much 1:59:11 that's that's very generous and 1:59:15 appreciative stage two is your is what 1:59:17 what I call the Kevin mallister moment 1:59:19 so if you remember Home 1:59:21 Alone that moment 1:59:24 stage two is AI does something that you 1:59:28 know 1:59:29 personally and it's so good at it that 1:59:32 you're 1:59:33 like like like your jaw literally drops 1:59:36 open and you can't unse it you can't 1:59:40 unknow you're like well I'm a copywriter 1:59:42 but you know it's not good at creative 1:59:44 writing and then you put a prompt in 1:59:46 there and all of a sudden you see oh 1:59:48 [ __ ] it is good at creative writing 1:59:52 or you know it can do a project plan or 1:59:55 it can make a backlog of the 1:59:59 backlog and you go holy [ __ ] so that's 2:00:03 stage two is just this awe of like I had 2:00:05 no idea I had a call with a guy once 2:00:08 where he said oh yeah I use chat GPT all 2:00:10 the time and then I got on the call and 2:00:12 I showed him two or three things and his 2:00:14 jaw dropped open and he said Kyle I I 2:00:17 have to go I don't know how to process 2:00:19 this he goes II had no idea 2:00:23 that that's what this was and he and he 2:00:25 hung up he left the 2:00:27 call right so stage two is that moment 2:00:29 where you realize personally something 2:00:32 is 2:00:33 different stage three is what you just 2:00:36 described hay is oh my God this is 2:00:40 incredible and holy [ __ ] we're [ __ ] 2:00:43 right it is it is this this duality of 2:00:46 Wonder and fear and I think I find 2:00:50 myself right now flipping between uh 2:00:53 stage three and stage four the Wonder 2:00:56 and fear thing is absolutely true the 2:00:59 more you use these tools the more I tend 2:01:02 to lean toward Wonder than fear because 2:01:04 you you know you fear things you don't 2:01:06 understand stage four is this is a 2:01:10 really powerful one and it's it's this 2:01:12 statement AI isn't replacing me it's 2:01:16 extending me or it's amplifying 2:01:20 me that's a really powerful one 2:01:23 that's where you realize oh [ __ ] I'm 2:01:25 lucky enough to live at a time where I 2:01:28 can take this tool that can take my idea 2:01:30 and amplify it and put it into the world 2:01:32 more quickly and more powerfully that's 2:01:35 incredibly empowering and then the fifth 2:01:37 stage I don't think the technology is 2:01:38 quite here yet but this is a phrase that 2:01:41 I stole from uh David Shapiro cognitive 2:01:43 hyper 2:01:44 abundance 2:01:47 that you realize that you are the 2:01:50 bottleneck to your own 2:01:53 Ambitions and and stage five is where 2:01:55 you give up the EGO part of that and say 2:01:58 [ __ ] it these machines are way more 2:02:00 capable than me I'm gonna let AI Take 2:02:03 the Wheel right and you kind of give 2:02:06 over to it and see what happens right 2:02:08 and and cognitive hyper abundance is 2:02:11 like imagine if you had a thousand PhD 2:02:15 level employees that worked for you what 2:02:19 would you do that's that stage I don't 2:02:22 think the text there right now but I 2:02:23 think that's where we're headed and I 2:02:25 think that's a real letting go of human 2:02:29 hubris to to think that we have to be 2:02:32 the center of the 2:02:35 execution um so anyway I I just wanted 2:02:38 to share that because I think that 2:02:40 wonder and fear stage stage three is a 2:02:43 really important one 2:02:46 okay all right I'm going to get out of 2:02:48 here let me wrap up a couple of things 2:02:51 um to tomorrow's Wednesday so tomorrow 2:02:55 at 400 PM Mountain Time an Murphy and I 2:02:59 are doing our third episode of the AI 2:03:01 Readiness project I think you're here an 2:03:03 hi 2:03:04 an um if you haven't joined us it's 2:03:07 going to be uh streaming live on the AI 2:03:12 Salon uh channel it's going to be 2:03:14 streaming live on she leads AI which is 2:03:16 ANS Community it's streaming live on my 2:03:19 Twitter my 2:03:21 LinkedIn I think on L ANS 2:03:25 LinkedIn okay 2:03:28 um couple other requests if you're on 2:03:31 YouTube well actually even if you're not 2:03:33 on YouTube go to the YouTube channel 2:03:36 learninglab d 2:03:38 a And subscribe to the YouTube channel 2:03:40 if you want to support the channel 2:03:42 directly there are two different paid 2:03:44 memberships um if you want to support it 2:03:47 that would be really appreciated if not 2:03:49 absolutely cool too um 2:03:53 and go do that and and all of the 2:03:56 recordings of my Tik Tok lives and these 2:03:59 lives since I've been streaming to 2:04:00 YouTube are all there so you can go back 2:04:03 if if if you really dig listening to my 2:04:05 dog sing and me act like an idiot you 2:04:08 can there there are I think at this 2:04:10 point we're probably at about seven or 2:04:12 800 hours of programming so have at 2:04:15 it and pin all right an Murphy it's 2:04:18 gonna be so good Adnan uh wait I forget 2:04:21 I don't know how to say his last name if 2:04:23 eector um our guest he was a fan 2:04:26 favorite he's amazing so so Adnan 2:04:29 incredibly brilliant guy with like off 2:04:33 the charts EQ emotional intelligence 2:04:36 he's so smart but he's so connected as a 2:04:40 human being that he's using this AI 2:04:44 stuff in really powerful ways so join us 2:04:47 the the the whole purpose of the AI 2:04:49 Readiness project podcast 2:04:53 is to not talk about the 2:04:55 technology we we did so so this was 2:04:58 inspired out of we did AI Festivus back 2:05:00 in December where we had 34 different 2:05:02 speakers come in and 34 different 2:05:05 speakers none of them talked about 2:05:07 technology they all talked about what AI 2:05:10 meant to them as people and then they 2:05:11 would demonstrate technology but it 2:05:14 wasn't about the technology it was about 2:05:16 them as people and so that's the whole 2:05:18 point of the podcast is what does this 2:05:20 stuff mean what is the future of work 2:05:22 are you feeling like holy [ __ ] we're 2:05:25 screwed or are you feeling likeoh my God 2:05:28 this is going to change everything for 2:05:29 me and this going to be the best thing 2:05:31 ever like all of us you're probably 2:05:33 somewhere in between but that's what 2:05:34 we're exploring and it changes on a 2:05:36 week-by-week basis also so anyway so I'm 2:05:39 excited all right that's it I'm gonna 2:05:41 get out of here I'll see you tomorrow so 2:05:43 four o'clock I'll be live with an for 2:05:45 that and then 8 o'clock I'll be back 2:05:47 here doing this nonsense and maybe we'll 2:05:49 dig around more with lovable I'll see if 2:05:51 I can get that after any further than it 2:05:53 is all 2:05:58 right Matt says hi to an and Kyle hello 2:06:02 Britt says bye goodbye Brit all right uh 2:06:04 YouTube I'm gonna peace out on you guys 2:06:07 and Twitter and Linkedin peace out I'll 2:06:10 see you tomorrow 2:06:11 bye boom all right