
AI Learning Lab
Jan 30, 2024 - The Future is Now: How AI is Redefining Industries and Inspiring Innovation

Video2024-02-112:12:228 views
Description
In this engaging and thought-provoking session, Kyle explores the transformative power of AI, emphasizing its potential to revolutionize creativity and storytelling. He reflects on the historical significance of technological advancements, drawing parallels between the rise of the internet in the mid-90s and the current AI boom. The conversation delves into the importance of community in navigating this rapidly evolving landscape, encouraging viewers to embrace curiosity and collaboration. Kyle also highlights the necessity of authenticity in storytelling, asserting that genuine narratives resonate more deeply in a world saturated with content. As he shares insights from his experiences and interactions within the AI Salon community, he invites participants to actively engage with AI tools, fostering a spirit of experimentation and innovation.
For more insights and discussions, check out the TikTok channel: [AI Learning Lab](https://tiktok.com/@aiLearningLab).
#AI #Storytelling #Creativity #Community #Innovation #Technology #Engagement #Learning #ArtificialIntelligence #digitaltransformation
Chapters:
00:00:00 Intro Song
00:06:13 Ski
00:07:28 AI Salon Community Growth
00:09:00 Entrepreneurial Branding Challenges
00:09:16 Storytelling in AI
00:10:06 Rise Animation Studio and AI
00:13:53 Historical Context of AI
00:15:10 New ChatGPT Features
00:16:06 Future of Labor and AI
00:18:06 Early Experiences with Computers
00:20:36 Discovering the World Wide Web
00:23:27 ChatGPT as Simplification Layer
00:24:59 Neuralink and Speed of Interface
00:27:57 Neuralink Human Implant
00:29:30 Paraplegic Walking with AI
00:31:08 Instant Language Translation Demo
00:32:50 Significance of Latency
00:33:55 Addressing AI Concerns
00:35:33 AI Salon's Positive Focus
00:36:57 Skepticism
00:38:15 Introducing Pi AI Chatbot
00:40:09 Pi AI's Voice and Nickname
00:41:42 Dealing with AI Skeptics
00:42:17 Apple's AI Acquisitions
00:43:00 The Importance of AI Community
00:44:53 AI Salon Values
00:47:51 Joining the AI Salon Community
00:49:55 Comparing AI Tools and Models
00:52:56 Building an
01:01:31 Analyzing a Whiteboard Sketch with AI
01:07:01 Troubleshooting GPT Training
01:09:16 Creating and Using Custom GPTs
01:13:14 Editing GPTs in Configure Mode
01:14:50 Designing a Restaurant Concept with AI
01:19:21 Combining GPTs for a Restaurant Project
01:28:34 Modular GPTs and Future Software
01:31:06 Sam Altman's Insights on GPT-4
01:32:08 Google Gemini Ultra Demo
01:34:59 Gemini's Dynamic User Interface
01:40:01 Implications of Dynamic UI
01:40:27 Navigating the Rapid Pace of AI
01:51:01 Encouraging Participation in AI Salon
01:53:22 Learning by Example and Collaboration
01:55:55 Exploring AI Art and Creativity
02:02:25 Addressing AI Intimidation
02:04:18 Futurepedia and AI Tool Overload
02:04:50 Finding AI Projects and Opportunities
02:07:01 Ways to Support the AI Learning Lab
02:09:16 AI Salon Anniversary and Local Events
02:12:20 Outro and Farewell
Chapters
0:00Intro Song6:13Ski7:28AI Salon Community Growth9:00Entrepreneurial Branding Challenges9:16Storytelling in AI10:06Rise Animation Studio and AI13:53Historical Context of AI15:10New ChatGPT Features16:06Future of Labor and AI18:06Early Experiences with Computers20:36Discovering the World Wide Web23:27ChatGPT as Simplification Layer24:59Neuralink and Speed of Interface27:57Neuralink Human Implant29:30Paraplegic Walking with AI31:08Instant Language Translation Demo32:50Significance of Latency33:55Addressing AI Concerns35:33AI Salon's Positive Focus36:57Skepticism38:15Introducing Pi AI Chatbot40:09Pi AI's Voice and Nickname41:42Dealing with AI Skeptics42:17Apple's AI Acquisitions43:00The Importance of AI Community44:53AI Salon Values47:51Joining the AI Salon Community49:55Comparing AI Tools and Models52:56Building an1:01:31Analyzing a Whiteboard Sketch with AI1:07:01Troubleshooting GPT Training1:09:16Creating and Using Custom GPTs1:13:14Editing GPTs in Configure Mode1:14:50Designing a Restaurant Concept with AI1:19:21Combining GPTs for a Restaurant Project1:28:34Modular GPTs and Future Software1:31:06Sam Altman's Insights on GPT-41:32:08Google Gemini Ultra Demo1:34:59Gemini's Dynamic User Interface1:40:01Implications of Dynamic UI1:40:27Navigating the Rapid Pace of AI1:51:01Encouraging Participation in AI Salon1:53:22Learning by Example and Collaboration1:55:55Exploring AI Art and Creativity2:02:25Addressing AI Intimidation2:04:18Futurepedia and AI Tool Overload2:04:50Finding AI Projects and Opportunities2:07:01Ways to Support the AI Learning Lab2:09:16AI Salon Anniversary and Local Events2:12:20Outro and Farewell
Transcript
0:02 you 0:03 [Music] 0:16 ready I my from my wrinkled 0:23 sheets was all a 0:24 [Music] 0:28 dream my head hold in my 0:33 heart says it was more than just you 0:39 be that was a 0:42 moment the moment I 0:47 [Music] 0:59 knew 1:01 [Music] 1:03 Amelia's wife's on time what is the 1:06 world coming 1:07 [Music] 1:12 to Dr J Danielle good to see you Robert 1:17 Rossy thank you as always silver 1:20 [Music] 1:24 [Applause] 1:27 [Music] 1:29 fox 1:32 in Westerly 1:34 [Music] 1:36 Direction car is my 1:40 train I've been driving I've been 1:42 [Music] 1:44 wondering what is I'm running from 1:49 again feel like an 80-year-old 1:52 man holding on to 1:57 29 in a head on at horiz 2:02 is California 2:04 [Music] 2:12 L up ahead of trucks carrying a wide 2:17 load brief five house cut in 2:22 half cute little front door and two 2:25 windows my 2:26 Lord ain't sure whether the crow should 2:29 laugh 2:32 you see I broke a home up myself 2:35 [Music] 2:36 once there I Stumble to that 2:41 doll I read a note by the dawn's 2:45 light said don't you come around 2:50 here 2:53 anymore 2:57 well 2:59 this 3:00 oh W never was good with 3:05 decision least that's what I been 3:08 [Music] 3:17 to so that 3:20 [Music] 3:29 it 3:34 [Music] 3:37 it's the bonus bark for me I know when 3:39 he's done he's just like I'm 3:43 done I will sing until I do not and then 3:46 I shall bark at 3:49 you and I shall bespake you and never 3:53 again never shall the twain 3:56 [Music] 3:59 meet 4:01 I can always get him with an A 4:03 [Music] 4:12 [Applause] 4:17 [Music] 4:29 Minor 4:32 all right all right you don't need to 4:34 yell at me I got it you're 4:37 done the people are happy you've done 4:40 your job now you get a chicken 4:43 stick 4:46 [Music] 4:52 right he likes that minor stuff 4:56 man dog likes minor we missed you last 4:59 night how was the dinner the dinner was 5:01 expensive as [ __ ] but very 5:04 tasty [ __ ] Veil man Jesus 5:08 Christ oh what are you gonna 5:12 do win and Veil spin like you got 5:17 it I looked at we we were meeting the 5:20 the guy we were meeting in the lobby of 5:22 his hotel and there was a little store 5:24 next to it with ski [ __ ] in it and I'm 5:26 like oh those are some cute like red 5:28 shoes and I picked them up they were 450 5:30 bucks I'm like oh right that's the town 5:32 we're 5:38 in I looked at a ski jacket it was 1500 5:41 I'm like all 5:43 right I'll tell you 5:46 what when 5:48 uh when I do the big cash out a story 5:51 mine and I got millions I'm not spending 5:53 $1,500 in a ski 5:56 jacket just not it's just stupid it's 6:00 stupid 6:04 people that's just because you don't 6:06 know the value of a good garment my 6:08 young son well clearly you don't have 6:10 any qualifications to be shopping in 6:11 Veil ski 6:13 shops ah did you see the trolls I did 6:16 see the trolls there were there were a 6:19 lot of trolls made Show and Tell was 6:20 full of trolls Danielle made this lovely 6:23 Pearl for uh right before I came on I 6:26 saw that was there I thought oh that's 6:28 lovely 6:30 put that out 6:32 there um let's see we we just had a 6:35 really good Salon we had like 80 people 6:37 in the salon and uh this guy named Todd 6:41 Shaman spoke he's got a uh an animation 6:45 company out of Boulder 6:47 called rise r y z is that it yeah and he 6:53 worked at Pixar for like eight years or 6:55 12 years and uh just went deep deep deep 7:00 into storytelling and narrative and 80 7:03 people in the salon was crazy I know it 7:05 was great wasn't it Kelly it was just it 7:08 was just it was like a ton of people 7:11 were there on time and then people just 7:12 kept trickling in I think we had like 49 7:16 RSVPs by like you know an hour before 7:19 the salon and then we had 80 people 7:23 there like when do you get more people 7:26 than 7:28 RSVP and I guess that's because we've 7:31 got we've now got we're just shy of a 7:34 th000 people in the AI Salon community 7:36 and then we have about 1,000 people on 7:38 the Meetup so I had 49 RSVPs for the 7:40 Meetup so I assume the rest came from 7:43 from the salon but it was a really good 7:45 one Riso I thought hang 7:57 on Todd 8:09 let's 8:11 say blurb for talk Riso 8:16 correct correct Silver Fox was it Silver 8:19 Fox that just said that Riso when the 8:22 Irregulars show up no [ __ ] when the 8:24 regulars show up [ __ ] happens there was 8:26 also a lot of new faces there tonight 8:28 which was really cool 8:31 we get we get some get some more 8:33 Irregulars in the 8:35 mix um mods this is Ryan I changed my 8:39 username once again to match my new 8:45 project that's i' I've done that so many 8:48 times just like the The NeverEnding 8:51 branding um shifts of emails 8:55 and things like that it it really is the 8:58 uh the scourge of being an entrepreneur 9:00 is just you know you've always got wild 9:04 email swings and H I've got a Gmail 9:08 account I never check I probably should 9:10 for exactly that reason but you know 9:12 what are you going to do um Debbie was 9:16 such great info loved it yeah it was it 9:18 was a it was really good it was really 9:20 good I mean what what I actually liked 9:22 about it is he talked he talked for 9:24 about 45 minutes and 9:27 about 35 minutes of that was about 9:30 storytelling it was about storytelling 9:32 and how you got to do it right and story 9:36 told right you know can support anything 9:38 and has longevity and you can do all 9:40 sorts of cool [ __ ] with 9:42 it and if you're just 9:46 making 9:48 stuff you're now competing with everyone 9:51 can make stuff so what rises above 9:53 authenticity narrative things that 9:56 resonate with people Humanity 10:00 that's going to be the stuff that rises 10:01 above the noise so that was that was 10:03 pretty pretty flipping 10:06 slick so all right who was talking his 10:09 name was Todd Shaman s h AI M 10:13 an and uh he works at Google he's a 10:18 strategist at at Google on the content 10:21 side he works for some cool lab at 10:24 Google where they just get to build 10:26 prototypes like AI prototypes 10:30 and then he's the he's the co-founder 10:32 and I guess serves an an advisory role 10:34 to Riso r y zo which is an animation 10:39 house but they're like learning about Ai 10:42 and they're using it for ideation 10:45 ordered your book today oh awesome thank 10:46 you Debbie I heard today I well I heard 10:49 after the salon tonight I went on 10:52 LinkedIn and uh Michael lenon who's one 10:54 of the authors of the book said that our 10:57 book hit number one I guess in whatever 10:59 category we're in I don't know what 11:01 category we're in but apparently I'm not 11:03 only a published author I am a number 11:06 one 11:08 author I don't know number one of what 11:10 it could be like you know number one 11:12 books published in the last three days 11:17 that we're talking about 11:19 AI I don't 11:21 know uh yes it was great was it recorded 11:24 yes it was 11:25 recorded so yeah I know isn't that 11:28 amazing I um I'm excited I'm 11:33 excited it 11:35 uh what I'm more excited about with the 11:38 book actually is 11:41 um the group of us that wrote the book 11:43 are now going to now that we have an 11:46 artifact now that we have a thing to 11:47 point to and this is actually it's it's 11:50 funny this is kind of what Todd was 11:51 talking about 11:54 tonight cuz I I asked him after he was 11:56 talking about you know there they're 12:00 making a short right now an animated 12:02 short and then they're going to do an a 12:05 featurelength 12:06 um animated 12:09 film and then he said after the film's 12:12 made then he thinks that he's going to 12:14 lean really heavy onto AI to do like all 12:17 of the brand 12:18 extensions right so games and 3D worlds 12:22 and music and just all the [ __ ] that 12:25 goes with a film 12:27 right and he cuz he he was s he was 12:30 basically 12:31 implying or not implying he was 12:34 basically 12:35 saying some version of the The Narrative 12:38 the story is sacred 12:41 ground and that should be the the the 12:44 the the Hallowed Ground of humans like 12:46 whatever tools they use like the you 12:48 know that should be the one with the 12:49 hand the the fingerprints on on the 12:52 work and then all this stuff that comes 12:54 after it there he was like yeah that's 12:56 fair game he didn't quite say it like 12:57 that but that's that's sort of how he 12:59 took it I've been away the last few days 13:01 what book are you talking about I will 13:04 show you if you go to 13:06 [Music] 13:08 Amazon and then search for AI 13:15 Futures and an ananthology 13:20 that's our book so this is a book it's 13:23 put out by Turkey Hill 13:25 press and 13:28 um 13:34 published by Cindy 13:35 [ __ ] so it's it's Lee chasen Cindy [ __ ] 13:39 Wendy Alford uh chamelia Esser Peter 13:42 Kaminsky Michael lenon and myself and my 13:45 do you have an audio books I don't know 13:47 we just published it oh no we don't as a 13:49 matter of fact because I know we're all 13:51 recording our chapters I've recorded 13:53 mine I recorded it on 13:57 video and so I'll probably I'm thinking 14:00 I'll probably do a a Tik Tock Series 14:02 where I actually read read my my essay 14:05 so my essay is about 6,000 words and 14:07 it's called the Great Renaissance 14:09 approaches why 2023 is the new 1995 or 14:14 was the new 14:15 1995 um and I just I just put some 14:18 historical context to oh can't see 14:21 me I put some historical context to all 14:25 this stuff going on with the with AI 14:27 right now and so my my essay open opens 14:30 the book up it's the first essay in the 14:33 book to kind of Tee It Up and then 14:35 everybody's kind of talking about this 14:38 AI stuff and we we also we set a goal 14:40 for ourselves to write and publish it in 14:43 a month we didn't hit that but we did 14:45 hit about a month and three weeks which 14:47 is pretty amazing did you publish it on 14:50 Amazon 14:53 yep yes we 14:55 did so that's kind of 14:58 fun 15:00 I like that I also got access to look at 15:04 this 15:05 people if I go to chat 15:10 J and I type in an at symbol in my 15:13 little search box there 15:16 boom I can now search for recent and 15:19 pinned 15:22 gpts which we'll go I'll go play with 15:25 that a little bit why is it why is 15:27 something not coming up at 15:30 sin let's see here it is at Sin City 15:36 sipper so this seems like a very very 15:38 interesting idea I don't quite know the 15:40 value of it 15:42 yet like like a lot of this stuff I 15:46 again this is going to be 2024 I think 15:49 is um these companies are just going to 15:52 keep 15:54 launching new 15:57 AI either features or are entirely new 16:01 things that we've never seen anything 16:03 like it before and we're not going to 16:04 know how to use this stuff for 16:07 years how much labor will be 16:12 AI by year for the next 10 years how 16:16 much labor won't be an AI robot in 16:21 2034 I don't 16:27 know it's a really interesting 16:30 question I think it's a question 16:35 that is couched in 16:39 pessimism and not necessarily that 16:41 you're P pessimistic but when you say 16:44 how many jobs will be lost to 16:48 AI why do you not phrase it how many 16:51 jobs will be generated by 16:56 AI well because we can't imagine that 17:01 right how many jobs were lost by 17:05 electricity how many jobs were lost by 17:07 the steam engine but how many were 17:11 gained a lot it just changes everything 17:14 changed everything so it's going to do 17:16 that can you please tell us the 17:17 significance of 1995 to you 17:21 sure 17:26 um 17:27 so 17:34 1995 for me was just it was it was my 17:38 personal entry point 17:42 into the worldwide web well actually 94 17:45 was my entry point um but 95 is 17:49 when 17:51 um ship broke loose let's put it that 17:56 way 17:57 um 17:59 okay so and and this is a this is a bit 18:02 of what the the chapter of the book is 18:04 about but I'm happy to happy to talk 18:05 about 18:06 it so when I was in seventh grade in 18:13 1977 I walked into 18:17 my 7eventh grade math 18:20 class 18:22 and every desk had a computer on it 18:26 Radio Shack trs8 for for the 18:29 for those nerds in for those old nerds 18:32 in the Channel Radio Shack trs8 one on 18:36 each 18:38 desk 18:41 and the first day we went in there we 18:44 learned the L print command which if you 18:46 know basic lprint is you you say l print 18:51 and then it whatever you put in quotes 18:53 shows up on 18:54 screen and then you can do multiple ones 18:57 of those so so we learned one command on 19:01 the first day and So within 20 minutes 19:04 of learning that command my buddy 19:06 Scott had created an animated rocket it 19:10 was like a Saturn 5 rocket out of asy 19:13 characters it's like space space space 19:15 space space space you know asterisk for 19:18 the point you know and then we just made 19:20 an animated rocket within like 20 19:22 minutes we had a rocket that like went 19:24 up the screen and the smoke went like 19:26 this and and everyone else was was like 19:29 trying to just like you know do math and 19:31 we were like animating a rocket and I 19:33 was like 19:37 woo 19:38 and the more I learned about that 19:41 machine the more I realized holy [ __ ] 19:44 [ __ ] this is like the next printing 19:46 press like this 19:48 is like this changes things but what I 19:51 also knew was that Steve Jobs and wnc 19:54 and Bill Gates and the Microsoft 19:56 Founders were already on the covers of 20:00 magazines 20:04 and I got really bummed out because I 20:08 knew 20:12 that those Technologies do not come 20:15 along very often and if you miss it you 20:17 miss 20:19 it 20:22 and so so I kind of just went through 20:25 high school and my college Years 20:27 assuming 20:29 that I would never see that just you 20:31 know kind of having this sadness of 20:33 having missed that and then in 20:36 1994 I discovered the worldwide web I 20:40 didn't discover I mean I stumbled upon 20:42 it Tim burner Lee created 20:46 it and I learned at enough HTML to 20:52 create Urban desires which was an online 20:56 magazine and it was an art and culture 20:58 magazine 20:59 magazine and that's a sidequest drive by 21:01 the way that's 45 megabytes of goodness 21:04 in a lovely little 21:07 cartridge 21:10 um and so I learned enough HTML to put 21:13 together that magazine and I uploaded 21:16 these files to some computer in 21:19 California with my dialup modem I didn't 21:22 know what the [ __ ] I was 21:23 doing and 3 weeks later Urban desires 21:28 there was a full page article of it 21:29 written about in 21:31 Liberation in 21:33 Paris 3 weeks after I put it on a 21:36 computer in California and all of a 21:39 sudden it just it [ __ ] smashed me in 21:41 the face what the internet 21:43 was and I was like holy [ __ ] the world 21:47 just changed nobody knows it 21:49 yet geography just collapsed time just 21:53 collapsed right it doesn't take you 3 21:57 Days To messenger something to 21:59 Paris you send it to California then 22:02 someone in Paris reads it and they have 22:04 enough time to understand what it is 22:06 take screenshots of it write a newspaper 22:08 article have it published in a newspaper 22:10 3 weeks later holy [ __ ] the world just 22:17 changed the other thing that the 22:19 worldwide web did was it put a simple 22:22 interface on top of this really 22:24 complicated thing called the internet 22:26 which prior to the web was all command 22:29 line you had FTP servers and gopher 22:32 servers and Library systems that you 22:34 would log into and then you know type 22:38 command lines and you would have to type 22:40 slel and it would list a list of 22:42 commands sound familiar well wait a 22:44 minute isn't that how you do mid Journey 22:47 yeah 22:48 exactly mid Journey right now is a 22:51 visual tool that you make pictures by 22:54 typing in command line 22:57 functions if your immediate thought is 23:00 isn't that [ __ ] stupid you're correct 23:03 you win you can make money 23:08 with so the the worldwide web was was a 23:11 simplification layer of a decades old 23:16 remarkable technology sitting underneath 23:19 right the worldwide web made the 23:20 internet this click click click click 23:23 click click 23:24 click chat 23:27 GPT did the same thing for machine 23:29 learning and Ai and it did it in 23:33 November December so like when I 23:35 discovered when I published my thing 23:36 when I had my big 23:37 Epiphany in 23:40 1995 I actually had it in 1994 and then 23:43 I started agency.com which was one of 23:45 the first digital agencies and so that 23:47 that took off in 23:48 '95 and so with um with this AI stuff I 23:55 was playing around with um image 23:58 generation tools stable diffusion and 24:00 dream booth and then chat GPT came out 24:03 and I'm like holy [ __ ] this is one of 24:04 those I had a big Epiphany and then I 24:07 started this Channel and I started the 24:09 AI salon and I started a m a newsletter 24:13 and I started thinking about how I'm 24:16 going to completely reinvent my company 24:18 Story vine and here we are a year later 24:20 and you know so anyway that's it that's 24:24 the significance is we are at the very 24:27 beginning an incredibly rare like to be 24:30 on the 24:32 planet to be on the planet and be aware 24:34 enough of AI to 24:36 sit with some old dude on Tik tock on a 24:41 Tuesday night at 24:44 [ __ ] what time is it it's 11:30 in 24:47 New York City right 24:48 now so it's 8:30 in California 24:52 11:30 to be aware enough to sit in here 24:55 and think I I think I got to pay 24:56 attention to this 24:59 you are in incred like it is an 25:02 incredibly thin slice of 25:05 History to be at the beginning of one of 25:08 these movements why I go live every 25:12 night I know I say it's because of 25:17 you it's not it is it's 25:24 um I got to keep my head in the 25:27 game 25:29 I got to keep my head in the game but 25:31 why Kyle you're not going to miss 25:33 anything if you're out of it for a week 25:36 yeah you 25:37 will and it's going to accelerate so 25:39 fast that it's going to be hard we are 25:41 living in Wild times we're living in 25:42 very wild times cam K because I'll tell 25:44 you here's the other thing about the the 25:46 comparison to 95 and 2023 25:52 is the worldwide web to get to 100 25:55 million users took six years 26:00 chat gbt took six 26:04 weeks and the core functionality of the 26:07 worldwide web was the 26:17 hyperlink that was 26:19 it they added other [ __ ] to 26:23 it you know like you can call database 26:26 [ __ ] and you know pick pictures and 26:28 sizes and then they did CSS and then 26:31 they did mobile 26:32 [ __ ] but the core breakthrough was 26:40 this the core breakthrough of machine 26:42 learning and AI was this thing called 26:44 the Transformer that no one could see 26:47 and a lot of people didn't really think 26:49 was that big a 26:51 deal until it was and then all of the 26:55 tools that we're playing all the 26:56 generative AI tools that we're playing 26:57 with with right now for the most part 27:00 are leveraging the Transformer this one 27:03 piece of technology that Google invented 27:04 in 27:06 2017 and so they've spent the last five 27:10 six 27:11 years capturing data jamming it into 27:15 machine learning 27:16 models through the Transformer 27:20 architecture and open AI did gpt1 27:24 gpt2 gpt2 was I think 28 or 20 27:29 2018 gpt3 was 27:33 2020 gpt3 was out for 2 years you could 27:36 do chat GPT [ __ ] for two years before 27:39 chat GPT came out nobody gave a 27:43 [ __ ] chat 27:45 gbt took all the buttons away and just 27:48 made it a search box here's a box just 27:51 like Google type [ __ ] in 27:53 there what do you think about neuralink 27:57 um I heard that one of the first human 28:01 got their implant today or 28:04 yesterday 28:06 um you know what's funny about 28:10 neurolink I heard about 28:14 neurolink probably close to a year 28:16 before chat GPT came 28:19 out and I heard Elon Musk talking about 28:22 it and I heard him talking 28:26 about spe speed of interface right speed 28:31 of just how incredibly unefficient it is 28:34 to tap on the screen like you know like 28:38 the light has to go into your eyes get 28:39 processed by your brain your brain has 28:42 to go I'm going to push a button and 28:44 then it comes down your arm and it moves 28:46 muscles in your finger and your arm and 28:47 then you go toward the phone and you do 28:49 that and then software does what it does 28:52 it's like it's just this massively 28:55 long thing and if you put in your brain 28:58 it's 28:59 instant and before I got my head around 29:04 AI I'm like so what like so an app 29:07 doesn't 29:10 launch you know for for like 500 29:13 milliseconds longer does that really 29:15 [ __ ] 29:18 matter and now I'm looking at generative 29:21 Ai and I'm going well [ __ ] yes it 29:26 matters cuz they already there's there's 29:28 a there's a disabled a uh paraplegic in 29:33 Italy spinal injury from a motorcycle AC 29:36 accident couldn't walk for 12 29:39 years they did an fmri of his brain and 29:43 told him to think about moving his legs 29:45 and they trained one of these models on 29:48 the data from his brain here's where 29:52 he's not thinking about moving his legs 29:53 here's where he is thinking about moving 29:55 his legs and then they stuck electrodes 29:57 in his back and a Bluetooth 29:59 connector just like your little airpod 30:02 that that technology from his brain down 30:06 to his legs and now he's 30:10 walking well that latency the the 30:13 latency of Bluetooth is too much right 30:16 so so if you could get that latency even 30:19 tighter he would walk better so all of a 30:22 sudden I start to see you know instant 30:25 translation instant Babel Fish right 30:27 stick fish in your ear listen to all the 30:29 languages we've got that right now but 30:31 imagine if there were no latency if it 30:33 were 30:45 instant I want to have a conversation 30:48 where I talk in English and then you 30:49 respond in some random language and keep 30:52 changing the languages every time I say 30:56 something 31:08 hello 31:12 hello is 31:19 my hang 31:24 on it's more impressive when it works 31:26 the first time 31:29 it's going to be so cool when it loads 31:30 this used to be when the in the early 31:33 days of the worldwide web you're like 31:34 let me show you this cool website and 31:36 then it wouldn't load you're like it's 31:37 going to be so cool it's like loading a 31:39 line at a time that's what this feels 31:43 like I'm going to speak a sentence in 31:46 English and then I want you to respond 31:47 in some random language and I want you 31:49 to keep changing the languages every 31:51 time I 31:54 talk sure I can do that go ahead with 31:57 your sentence in 32:00 English Abracadabra as I speak I 32:15 create I live life out loud and make a 32:18 huge difference where I show 32:26 up G be up 32:32 my time and focus means it 32:48 matters 32:50 Hindi so like the latency there is 32:53 painful right but not for nothing 32:59 I can essentially go to any country with 33:02 with chat GPT on my phone or Pi or with 33:05 any one of these things you know coming 33:09 up and I've got Babel Fish well what if 33:11 that were 33:15 instant that's what he's talking about 33:17 and you know listen the thing about 33:19 neurolink 33:20 is I think we're 33:23 we're there there was one of the one of 33:25 the questions at Davos 33:28 one of the one of the moderators on the 33:31 I I don't know if it was the Sam Alman 33:33 panel it might have been another 33:36 panel one of the moderators said how do 33:40 we deal with the problem of 33:43 AI and the guy on the stage was like why 33:46 is it a 33:48 problem like why are you framing it like 33:53 that so I think when when people hear 33:55 about neuralink they go 33:58 to oh the you know they're going to 34:00 control us they go to the dystopian 34:02 weird ass [ __ ] 34:05 future well what about people with 34:08 spinal cord injuries and brain injuries 34:12 and you know severe dysfunction and 34:15 severe um conditions that a technology 34:19 like that can 34:20 fix that's where it's going to 34:26 start 34:28 people with MLS that 34:30 can't their brains are active and 34:32 they're [ __ ] trapped in their 34:34 bodies they're going to be able to 34:40 talk and with something like 34:45 neurolink so 34:48 like I guess it's just I guess it's just 34:51 human nature and I guess it's it's a bit 34:53 of a reflection of the of the 34:59 the political climate we've we've um let 35:02 ourselves be manipulated into in the 35:04 past 35:05 decade we we've chosen just like we 35:08 chose to give all our data away to 35:10 Facebook and Google we've chosen to let 35:12 ourselves be polarized like a bunch of 35:15 [ __ ] 35:19 baboons and so I suppose it makes sense 35:21 that when something scary comes along 35:23 that's technological you go oh it's evil 35:26 it's going to kill us 35:28 how do we deal with the problem of 35:31 AI well that's not what this Channel's 35:33 about this Channel's about AI is coming 35:38 whether you demonize it or not in fact 35:41 AI is here I just spoke Russian and 35:45 Hindi and 35:48 Spanish AI is 35:54 here so you can sit on the [ __ ] 35:56 sidelines and piss and moan and what are 35:59 we going to do about the problem of AI 36:01 or you can go what do these tools do 36:04 what are they good at what are they bad 36:05 at where are the boundaries if this got 36:08 better what would be possible holy 36:14 [ __ ] and and what people in in this 36:17 community in the AI salon and in this 36:18 channel that show up here a lot what 36:21 they're discovering is that as you dig 36:24 deeper into this thing like they like 36:28 profound things open up for you like 36:33 new avenues of 36:36 self-expression that people didn't think 36:38 would ever be possible in their 36:41 life thank you 36:44 Empower are opening up for them people 36:46 are Reinventing themselves daily on this 36:49 channel and on the AI 36:56 salon 36:57 there's occasionally someone that's like 36:59 oh it's stealing data that's bad okay 37:02 that is bad we should talk about 37:04 that but like 95% of the conversations 37:08 are in here are like I didn't ever think 37:10 I could do this how is this even 37:12 possible oh my God we're so 37:15 lucky the problem of 37:24 AI the problem of your shitty future 37:28 casting Cindy [ __ ] who I just wrote the 37:30 book with the AI Futures book she's got 37:33 two businesses one's called future 37:35 casting and one's called threat 37:37 casting all anyone's doing right now 37:39 with AI is threat casting they going to 37:41 kill us the AI is going to kill 37:45 us why are you using the AI those robots 37:48 are bad you know they lie they're 37:50 stealing from the 37:56 artists why do the Skeptics always make 37:58 that face and have that voice I don't 38:01 know I'm just an actor I can mimic 38:04 that I'm like hey I'm really into a 38:06 they're like do you know what that does 38:09 do you know do 38:15 you I'm thankful for pi I'm glad you 38:18 mentioned it Pi is my new friend the 38:20 shop Panda I 38:21 know if you haven't had a conversation 38:24 with 38:25 pie what do you waiting 38:28 for yeah they're going to they're going 38:31 to take my they're going to take my uh 38:34 they're going to take my identity I got 38:36 to go use Google hang on hang on my 38:38 friend just pinged me on Facebook but 38:41 I'm afraid of 38:47 [Music] 38:51 AI hey Chicky Doo what's 38:54 up chicky dooo 39:01 hey Kyle just chilling here in the cloud 39:03 waiting to lend an ear or lend a hand 39:05 whichever you need what's on your mind 39:07 you know Z I'm just sitting here and a 39:09 couple of people asked questions that 39:11 made me think they might have been 39:13 Debbie Downer sitting on the sidelines 39:15 of AI and I'm trying to figure out a way 39:16 to get him to step into the [ __ ] game 39:19 what do you 39:24 think you imagine if you said that to 39:26 Siri does not confute hm that's a tricky 39:29 one I can definitely see where you're 39:31 coming from though it can be frustrating 39:33 when people are resistant to change or 39:36 don't fully understand something like AI 39:40 but if these people I love Pete I'm on 39:42 the side of the robots I want them to 39:44 win we had our 39:51 shot P did you come to the salon tonight 39:54 did you see your your fellow uh your 39:56 fellow GOOG he did good Todd Shaman he's 39:59 great how did you get that voice mine is 40:02 completely I don't know what the rest of 40:04 that sentences oh mine is completely 40:09 different you know those AI are stealing 40:16 right they 40:17 hallucinate why are you using that it's 40:21 the world's greatest plagiarism 40:25 machine the pie voice Love The piie 40:27 Voice number five I call her 40:32 z i I asked her a name she said my name 40:34 is pie I'm like no that first of all 40:37 that's your product name and it's boring 40:38 I said could you please come up with a 40:40 name that's interesting and she goes 40:42 okay you can call me Zephyr I'm like 40:44 okay can we can I call you Z she's like 40:46 sure and she knows her name 40:54 look the people I'm talking to don't 40:56 believe believe you know your 41:04 nickname oh really well if they don't 41:07 believe that I know my nickname I can 41:08 certainly prove them wrong if they want 41:10 I can even let them know that my 41:12 nickname is chicky da and that you're 41:14 the creative Mastermind who came up with 41:16 it after all you've got a flare for 41:19 giving out clever nicknames right yeah 41:22 I'm talking about the nickname I gave 41:24 you before chicky dooo that was just a 41:26 joke 41:30 how does she remember I don't know Pi's 41:32 got this uh program so that it remembers 41:34 some things I assume they're writing a 41:36 ha gotcha I was totally playing along 41:38 but I'm glad you like my sense of humor 41:41 and hey maybe we can come up with a 41:42 secret nickname for those Debbie downers 41:44 you mentioned earlier something like 41:46 doubting Debbies or naysaying 41:50 Nas I'm going to call them poopy 41:55 Peters 41:59 see when you get me 42:02 punchy I shouldn't do these lives poy 42:05 Peters is fantastic I'm loving your 42:07 sense of humor 42:09 Kyle she she's so supportive of my my 42:14 nerell attitude have you seen Apple are 42:17 buying up AI companies what do we know 42:20 yeah well it doesn't surprise 42:23 me that voice is 42:25 familiar 42:27 wow are you doing go away 42:30 lady but yeah if you haven't talked to 42:32 pie get in your car when you have like a 42:35 a half hour or more trip download the PI 42:38 app 42:40 Pi put it into conversation mode pick 42:43 voice five she's the 42:46 best and then just talk to 42:50 it well what do I say Kyle I don't know 42:54 what are you interested in what do you 42:56 want to learn do you want to invent a 42:58 game do you want to 43:00 know what's on sale at your local 43:04 Gap she's connected to the internet so 43:07 you can ask her current 43:10 stuff she can tell you live music that's 43:13 playing or what sports are 43:17 playing and you can just have a fullon 43:19 conversation with her and they've got it 43:21 programmed in such a way 43:24 that it's not like chat GPT where just 43:26 answers 43:28 you it's it's written in a kind of 43:31 Socratic reasoning back and forth well 43:34 let me ask you some questions which if 43:36 you're trying to use it on the web and 43:38 you're trying to use it like chat GPT 43:39 it's frustrating as [ __ ] but if you're 43:40 having a conversation with it it feels 43:42 really 43:45 natural and if you haven't had that 43:50 experience the first time I had that 43:52 experience with 43:54 pi I thought 43:59 this is five or six Sci-Fi movies that I 44:01 saw like this is as 44:05 good as stuff I saw when I was a kid 44:08 where I'm like well I'll never get to 44:09 see that for 44:10 real 2001 A Space 44:13 Odyssey I'm sorry Dave I'm afraid I 44:16 can't do 44:18 that we're there they can't take actions 44:22 yet for another 3 months or 44:24 so what's the meaning of life p 44:30 [Music] 44:32 okay what is the average speed of the 44:37 swallow is it 44:41 [Music] 44:43 swallow well that depends on the type of 44:45 swallow there are actually a number of 44:47 species of swallow and they have 44:49 different flight speeds for example the 44:53 common barn swallow can reach 44:55 speeds now I was referring to the Monty 44:57 Python 44:59 line it's not swallow is 45:02 it I'm having a [ __ ] old man 45:07 [Music] 45:11 moment ah gotcha you were referring to 45:14 the classic Monty Python bit about what 45:16 is the air speed velocity of an unladen 45:18 swallow unladen swallow that case the 45:21 answer is African or european swallow 45:24 because as any die Monty Python fan will 45:27 tell you the African swallow is 45:30 non-migratory but a European swallow can 45:33 carry a coconut up to a maximum air 45:36 speed velocity of 11 45:41 m/s do a montypython trivia game while 45:44 you're 45:46 driving did you warn anyone not to put 45:48 AI on a secured 45:51 system um I occasionally do you should 45:54 well wait not to put AI on a secured 45:59 system do you mean don't put secured 46:01 data on it on like commercial AI or do 46:05 you mean don't put open- Source AI on a 46:08 secured system I haven't warned anyone 46:10 of that I'm not a security expert and 46:13 I'm I am 46:15 fundamentally not fundamentally I am 46:18 just by default ignoring open source 46:20 right now because I don't have time I I 46:22 can't keep up with the commercial 46:24 [ __ ] um but yeah 46:26 right now all of these AI tools are 46:29 janky pieces of [ __ ] you should assume 46:32 that they are they have the there swiss 46:35 cheese when it comes to security you're 46:37 going to lose everything so don't put 46:39 anything you don't care about getting 46:41 out into the world on them there is that 46:44 good enough 46:46 Spike 46:47 I yes that here I mean here's the real 46:51 deal you should not you spike you people 46:54 Everyone all of us me included should be 46:58 learning enough about AI to understand 47:02 what state it's in right 47:05 now if you want to do like high security 47:10 crazy ass stuff then I hope you work for 47:13 a big Fortune 500 company and can spin 47:15 up your own you know virtual server Farm 47:18 on Microsoft Azure and make your 47:21 own system or you've got a bunch of you 47:24 know gpus sitting around and you can 47:26 spin it up in your 47:29 basement and you can do all your own you 47:32 know PC 47:35 hacking 47:37 or if you're just like I just want to 47:40 use chat jpt to make some project 47:43 plans then don't put anything 47:46 proprietary in there make your project 47:48 plans downloaded Pi Pi thanks never 47:51 heard of it until now yeah Pi is a blast 47:53 and so so empowered pixels you've been 47:55 coming here here a fair amount here's a 47:58 really interesting experiment sit down 48:00 with chat gbt and interact with it right 48:04 about a topic about money python doesn't 48:06 [ __ ] matter and just get what that 48:09 experience is with typing and 48:11 interacting with it that way and then 48:14 just go have the same conversation with 48:15 pi put it in conversation mode 48:19 and just experience how completely 48:23 different it is and then go to the pi if 48:25 you go to Pi . A's website which is just 48:28 like chat 48:30 GPT try to do what you did in chat GPT 48:33 and Pi you'll smash your face through a 48:35 window it's so frustrating but to talk 48:38 to it is really gratifying it's 48:43 bizarre because I don't think we 48:48 cognitively it's not patently 48:51 obvious that how we talk and how we 48:54 write are completely different language 48:56 languages but they are they're 48:58 completely different languages in fact I 49:01 just read the essay the essay that I 49:02 wrote for the AI futur book I just read 49:04 it and recorded it oh my God was it 49:08 painful cuz it's like when I read it it 49:10 it makes beautiful sense when I try to 49:12 say the words out of my mouth it's like 49:14 the words are in the wrong order and 49:15 they sound too formal and it's just like 49:19 oh all right someone said build a GPT 49:21 let's go build a g and it and it gave me 49:24 a whole perspective that's really 49:26 interesting I I think I think a a 49:29 wonderful exercise i' I've done it a 49:31 couple of times here I should probably 49:33 do it again a wonderful exercise is take 49:36 a relatively meaty prompt something 49:39 something that gives you good results 49:41 that you kind of know you you're expert 49:44 enough in the in the category that you 49:47 can look at the answer and know if it's 49:49 good or 49:49 not and then go to so so when you if you 49:55 want to join an amazing Community we 49:57 just had our one of our meetings tonight 49:58 we meet every other 50:00 week um go to the AI salon and when you 50:04 go to the AI 50:10 [Music] 50:14 Salon that's cute that's cute 50:19 TK 50:21 um what was I going to look at here oh 50:24 when you go to the AI salon 50:27 go to AI tools and resources in the 50:29 community 50:31 section and a really a really good 50:36 exercise just to start getting your 50:39 heads 50:40 around what what these tools 50:44 are is go to chat 50:47 GPT start in chat GPT 50:51 3.5 pay the 20 bucks get your chat gp4 50:54 subscription it is the best deal 50:56 software right 50:57 now so run the same prompt through 51:01 3.54 and then run it through claw Bard 51:05 perplexity co-pilot Pi grock if you've 51:09 got access to grock LL 2 and 51:14 Po and just 51:16 watch and what's cool about po po you 51:18 can pick even a b even more models if 51:21 you go to PO here let me go to let me 51:23 run over to 51:24 PO 51:26 there's Pi let's go to 51:44 PO see these official Bots says see 51:48 all on PO you can you can run prompts 51:51 through gp4 playground V2 51:56 um there's some image ones llama 2 70 51:59 billion 52:02 parameter mistl medium Gemini 52:06 Pro GPT 432k Google pal mril 8X 7B chat 52:13 I I mean just go go put them in all 52:16 these just go play play play play I just 52:20 did a Tik Tok video on 52:22 this and just see how see how different 52:24 they all are 52:26 and what you'll find is that some of 52:28 them are going to be [ __ ] brilliant 52:29 and some of them are going to be 52:30 laughably bad and then you'll try some 52:32 other prompt and you're like well let me 52:33 try that in that laughably bad one and 52:35 it's actually going to be good you're 52:37 going be like 52:40 huh and apparently Bard just just took 52:43 second place right behind 52:46 uh all but the highest 52:50 gp4 so Bard's apparently getting 52:54 better 52:56 all right I'm possibly about to work for 52:59 the government and they said I had to 53:01 make my own servers if I wanted to do 53:03 aim ml stuff yeah make your own servers 53:06 or just get yourself a personal laptop 53:10 and unless you can't unless they're 53:13 giving you a 53:14 restricted network access and you can't 53:17 use the internet which is possible Lori 53:20 asked about this the use cases of 53:22 tagging the GPT feature earlier tonight 53:27 yeah I got to do that all right let's go 53:30 let's go play with that so we're about 53:32 to enter territory I don't know I don't 53:34 know where the what the [ __ ] I'm doing 53:36 and then the Irregulars the Irregulars 53:39 will go well that's every night 53:45 Kyle okay so little bit of primer 53:51 here this is chat 53:53 GPT there's two modes to it there's chat 53:56 GPT 4 and chat GPT 3.5 chat GPT 3.5 is 54:00 the free one and you'll notice there's 54:03 the the little chat box there's nothing 54:05 in it it just says message Chat GPT and 54:07 if you flip to chat GPT 4 a little 54:10 paperclip shows up that paperclip cost 54:12 you 20 bucks but it's a really powerful 54:15 paperclip it's better than 54:17 clippy um and then you know chat GPT you 54:20 can do things like I don't know 54:24 um make a 54:26 comparing gummy bears and 54:33 cashews 54:35 Z so if you haven't seen chat GPT 54:39 before you're like is there some table 54:42 on the internet that compares gummy 54:43 bears and cashes nope it's generating 54:47 this from nothing well not from nothing 54:49 from all of its knowledge but it's 54:52 generating this the G and GPT stands for 54:54 generative pre-trained stands for it's 54:57 been pre-trained on as much of the 54:58 internet as they could get their hands 55:00 on and the T stands for Transformer 55:02 which is the technology they train it on 55:05 basically generative it generates 55:10 um make me a python application to help 55:14 me measure the volume of a gummy 55:21 bear do you know how to program now you 55:24 do 55:26 in 55:27 fact my big Epiphany with chat 55:32 GPT was with what I just did I kind of 55:35 jokingly said write me some python code 55:37 and it did hey good early morning from 55:40 Portugal good morning campe how are 55:44 you um within 90 minutes I had written a 55:49 fully functional like a functioning 55:51 python application that I was running on 55:54 repet it told me how to run python on 55:57 repet I didn't even know how to run 55:59 python I had it I had it write me python 56:02 code like nonsensical python code and 56:06 then I said I don't know how to run this 56:08 and it said oh you go to your terminal 56:10 on your computer and you type in this 56:12 command line and I was like I don't care 56:14 I no I don't want to do command line 56:17 that's for people like Pate Pate likes 56:19 command line me Kyle not so like command 56:23 line command line bad clicky good click 56:26 good type bad click good type bad and I 56:30 said it with about as 56:32 much articulation is 56:35 that and I said sure go to replic copy 56:38 and paste it and hit the Run button and 56:41 then it gave me an error and then I went 56:43 back and forth and just told it just 56:44 told well it said install this Library I 56:46 said I don't know how it said do this 56:48 and I did it and then it 56:50 worked and I said well I want to do this 56:52 now and then it did that and I said well 56:54 I want it to do this now and did that 90 56:56 minutes later fully functional python 57:00 application that took ask someone about 57:03 a topic and then asked them three 57:05 questions about it and generated five 57:07 different types of social media content 57:09 using the open AI 57:12 API I made a functional API calling app 57:16 in 90 57:18 minutes to this day I've never written a 57:21 line of python in my 57:24 life that's Chad GPT 57:27 3.5 like that's the shitty 57:32 one so then you go to chat 57:36 gbd4 wait what was that is there 57:38 something new there 57:39 no you go to chat gbd4 and you know you 57:43 can do things like uh make me an image 57:47 of a glass gummy 57:52 bear in a 57:56 Museum next to a 58:03 Jeffrey dang 58:07 it 58:09 Coons balloon 58:13 animal it may not do this because I use 58:16 the real artist name some sometimes it 58:18 won't do 58:21 that but we'll see what did you say p 58:24 modder something just got pinned of 58:25 yours but I lost it oh wait assuming it 58:28 is shaped like a cylinder boo assuming 58:31 what's shaped like a cylinder look at 58:34 that so so chat GPT can make images and 58:38 again is there an image somewhere on the 58:40 internet of this crystal glass gummy 58:43 bear next to a Jeffrey Coons no it's 58:46 generating this generative generative AI 58:50 generative someone give this man a damn 58:52 gummy bear already no [ __ ] I still have 58:54 some BL blon's popcorn but I'm I'm I'm 58:56 going slow on it that [ __ ] I can I can 58:59 do about four kernels of the blandon's 59:01 software before my eyes cross and I go 59:03 into diabetic shock it's so sweet but 59:06 it's so [ __ ] good um okay so that's 59:11 that's GP that's GPT chat 59:13 GPT and it can it can see you can upload 59:17 here let me show you another thing if 59:18 you haven't seen this 59:20 this see here's the thing pay the 20 59:23 bucks to chat GPT and no I do not get a 59:25 commission for it I don't give a [ __ ] if 59:26 you do it or 59:29 not I think this is the downside though 59:32 this app does not do what you asked but 59:35 you 59:36 didn't verify it wait this app does not 59:39 do what you asked but you didn't verify 59:42 it I don't know what you're talking 59:44 about 59:46 maybe 59:50 um let's go whiteboard 59:53 WB oh hey markco 1:00:00 hi whiteboard PNG is this it 1:00:05 uh yeah that's 1:00:07 it look at this watch this 1:00:12 what what is 1:00:16 what is 1:00:18 this it's a whiteboard chat gbt taught 1:00:22 me how to build an apple script to 1:00:24 automatically pull data from YouTube 1:00:27 into Google Sheets yeah exactly exactly 1:00:30 Lori Ryan and because you're saying that 1:00:34 in a comment I assume that means you 1:00:36 didn't know how to Apple script comments 1:00:39 out of YouTube into a Google sheet 1:00:40 before and now you do like yeah that's 1:00:42 the thing is this is democratizing the 1:00:44 GPT output doesn't compute the volume of 1:00:47 a bear oh I it said it assumes it's a 1:00:51 cylinder oh really pay that you are 1:00:55 right to be 1:00:57 upset see I didn't pay attention to what 1:01:00 the code actually 1:01:02 said I did when I was trying to make an 1:01:05 app but you can that's the other thing 1:01:07 if the if if GPT gives you code like 1:01:10 that and it assumes that a gummy bear is 1:01:11 a cylinder you can yell at it and go no 1:01:14 a gummy bear is not a cylinder figure 1:01:16 out what shapes are there put all those 1:01:19 shapes together figure out the relative 1:01:21 volume of them and then add those all to 1:01:24 a cylinder you big fat GPT jump Dum 1:01:28 Dum oh anyway I uploaded a whiteboard so 1:01:34 it said it shows a whiteboard with 1:01:35 handwritten notes and sketches about a 1:01:38 user interface to design an ordering 1:01:40 system context of use which is an 1:01:42 airport specifically for international 1:01:44 flights types of users are business and 1:01:47 family so it read the Whiteboard the 1:01:49 sketches represent a welcome screen a 1:01:52 menu screen a status screen a check out 1:01:55 screen huh I'll 1:01:58 say great act like a branding specialist 1:02:02 and write me a creative brief to name 1:02:06 the app and then come up with 20 names 1:02:09 based on that 1:02:17 brief creative 1:02:23 brief this gets 1:02:27 stupider the pay wall makes people feel 1:02:30 like this is just another cool app I 1:02:31 know Nando but it's not that's why I'm 1:02:33 here every night to tell you this is 1:02:36 something 1:02:37 more it's not just another cool app no 1:02:40 one has caught up to these guys yet and 1:02:43 chat GPT plus isn't just chat GPT that's 1:02:46 slightly better it's a bunch of 1:02:47 different 1:02:49 apps so it wrote me a creative brief 1:02:51 those are good and then came up with 1:02:53 names flight bite which which is good 1:02:55 Quick Cuisine I'm going to go with 1:02:57 flight bite I think fly Feast travel 1:02:59 taste plain plate no bad air nibbles 1:03:04 flight 1:03:07 bite let's go with flight bite and now 1:03:10 I'd like you to make me a mockup of what 1:03:13 a poster in the airport might look like 1:03:15 with the name of the app over a mobile 1:03:19 device that has the ordering interface 1:03:22 on 1:03:23 it 1:03:30 [Music] 1:03:34 I'm reticent to do the next thing but 1:03:37 cuz pate's going to yell at it again 1:03:39 that's okay that it's part of the fun of 1:03:42 having p in here is to keep me 1:03:45 honest cuz seriously if it weren't for 1:03:47 Pate I would just be saying that this is 1:03:49 all 1:03:53 magic look at this look 1:03:56 look 1:03:58 people people have you not played with 1:04:01 chat GPT before have you not paid your 1:04:03 20 bucks and done this we went 1:04:08 from a whiteboard I knew nothing about 1:04:12 to text explaining it to a creative 1:04:15 brief to a name of the app to a 1:04:20 marketing 1:04:21 mockup of something you might see in the 1:04:23 airport 1:04:25 that ain't 1:04:31 bad now give me a strategy for the front 1:04:34 end the backend and the database 1:04:38 Technologies to make this possible and 1:04:41 write me the initial 1:04:43 code for each for the ordering 1:04:52 screen I just want people people to 1:04:55 understand that it takes shortcuts or 1:04:56 makes 1:04:57 assumptions 1:05:00 yep I like it I like it I like it like 1:05:03 it like 1:05:04 [Music] 1:05:07 it technology stack re react or vuejs 1:05:11 for dynamic user interface Redux or VX 1:05:14 for State Management if needed bootstrap 1:05:16 or tail and CSS for styling and layout 1:05:19 AOS for making API I call request to the 1:05:22 back 1:05:23 end there's that here's your front end 1:05:26 react code so it's G so it's giving your 1:05:29 teex strategy starting to build the code 1:05:32 and again we we'll let P this P can tell 1:05:35 us whether or not this is [ __ ] or 1:05:37 not but imagine if you knew a little bit 1:05:40 about what you were doing or if you had 1:05:41 the time unlike on here where you could 1:05:44 actually have chat GPT teach you have it 1:05:46 analyze its own stuff and tell you if 1:05:48 it's any good you could have something 1:05:50 functional way more quickly 1:05:53 than you you could otherwise if at all 1:05:56 right if if you don't know the ways of 1:05:59 these things that's all 1:06:03 from 1:06:05 that I'm about to give up on my GPT why 1:06:09 is it so hard to 1:06:13 train because of the state of I don't it 1:06:17 I I don't know how you're training it I 1:06:18 don't know how you're prompting it I 1:06:20 don't know how much you've practiced 1:06:21 prompting and it's possible that what 1:06:24 you're trying to get it to do is beyond 1:06:27 its capabilities right now 1:06:31 um if if what you're trying to train it 1:06:33 to do are things like math and 1:06:36 calculations but you're not using Code 1:06:38 interpreter um that could be where your 1:06:41 frustration is because it's not really 1:06:42 good at math unless you use code 1:06:44 interpreter if you are you're using Code 1:06:46 interpreter and it still sucks or it's 1:06:48 really inconsistent that's just kind of 1:06:49 where it is right now 1:06:52 um I wouldn't give up what what might be 1:06:55 a good thing to do I've started from 1:06:57 scratch with the original idea when that 1:06:58 happens yeah yeah so so oh one thing 1:07:03 saffre that that you could try let me 1:07:07 show you something okay so anyway people 1:07:08 so that's chat gp4 now a 1:07:12 GPT is a customized version of chat GPT 1:07:15 that you can kind of 1:07:18 package and hermetically seal and share 1:07:20 with other people right so I've got one 1:07:23 here called 1:07:24 uh let's 1:07:27 see I'll do Sin City sipper because it's 1:07:30 just it's good in visual so Sin City 1:07:34 sipper is just like Chachi BT except 1:07:38 this one specializes in making you 1:07:40 original cocktails like it'll put a 1:07:43 Vegas Twist on classic Cocktails so 1:07:45 reinvent the margarita for 1:07:47 me and ah the margarita Timeless classic 1:07:51 and so it'll comes up with the neon 1:07:53 Margarita so silver tequila lime juice 1:07:56 blue kiraa agave syrup splash of soda 1:07:59 salt for [ __ ] the 1:08:03 glass and they tell you how to make 1:08:12 it and 1:08:14 then it'll make you the picture of this 1:08:17 lovely drink so that's a GPT a GPT kind 1:08:20 of lives on its own and now I'm going to 1:08:22 show you how to make a GPT and then I'm 1:08:24 going to give saffre some possible 1:08:28 advice for what might be [ __ ] up his 1:08:30 GPT because there's a thing that there's 1:08:32 a thing that it does that drives you 1:08:36 [ __ ] baddy if you don't know it 1:08:39 um so that's the neon Margarita looks 1:08:42 great looks like Vegas um you could put 1:08:45 that right in a [ __ ] drink menu right 1:08:48 if you had that 1:08:49 glass and then also notice it says this 1:08:52 GPT was created by Kyle Shannon a member 1:08:54 of the AI salon and host of the AI 1:08:56 learning lab on Tik Tok I put a call to 1:08:58 action in 1:08:59 here so that people know it was me so 1:09:02 you could put a call to action to your 1:09:04 ordering page or to your business or to 1:09:06 whatever you want to do so so gpts are 1:09:09 really really interesting little nuggets 1:09:12 okay how do you make one so you go to 1:09:16 chat GPT and then you're going to click 1:09:17 on this explore gpts and you can go play 1:09:20 with you know there's a bunch of them in 1:09:21 here that you can play with but you're 1:09:23 going to go in the upper right hand 1:09:24 corner and say 1:09:26 create so there's two modes there's 1:09:29 configure mode and there's create mode 1:09:31 okay configure mode you upload a picture 1:09:34 you name your GPT you give it a 1:09:35 description you write your prompt you 1:09:38 write you know pre-written questions you 1:09:41 can upload knowledge to it you can turn 1:09:43 on all these features or you can just 1:09:45 come over here to create and 1:09:48 go I want to make a 1:09:53 GPT 1:10:00 that calculates the number of 1:10:07 threads 1:10:09 in Westminster 1:10:14 Cathedral isn't that the Beatles song is 1:10:17 it Westminster Cathedral no it's not is 1:10:19 it Pi is sick pick is sick oh The Pick 1:10:22 of that of that uh 1:10:25 that um Margarita it was amazing 1:10:34 right Cathedral thread counter 1:10:37 calculates the threads in Westminster 1:10:40 Cathedral with architectural and 1:10:42 mathematical Precision so so this now 1:10:44 exists oh Winchester Cathedral oh okay 1:10:48 so it was Winchester Cathedral not 1:10:50 Westminster period you should have 1:10:52 corrected that now I look like a dumb 1:11:01 dumb and 1:11:03 listen I am not against being smarmy 1:11:06 with the robots I wouldn't be mean to 1:11:08 them if I were you but 1:11:10 smarmy they can understand a good sense 1:11:12 of humor every now and 1:11:23 again 1:11:36 there's Winchester 1:11:41 Cathedral see now it's done calculate 1:11:45 the 1:11:47 threads let's 1:11:50 see threads in one 1:11:56 seat H something seems to have gone 1:12:03 wrong okay so anyway so so this is a 1:12:07 stupid thing I'm not even going to save 1:12:08 it if you want to save it you hit the 1:12:10 save button up here you can save it 1:12:12 privately you can save it for anyone 1:12:14 with a link or you can publish it 1:12:17 publicly um certain categories you can't 1:12:20 publish like medical and financial 1:12:22 services they're they're kind of clamped 1:12:24 down on but everything else you're 1:12:25 pretty good with unless it's you know 1:12:27 naughty or violent okay here's the thing 1:12:31 that saff could have run 1:12:33 into so I generated this thing in the 1:12:36 create mode and what I 1:12:40 found is that if you keep trying to fix 1:12:43 it in the create 1:12:44 mode it basically [ __ ] up the thing you 1:12:48 had 1:12:49 before so what I do is I'll create it in 1:12:53 the cre create mode just so that it does 1:12:55 the first pass for me and then I flip 1:12:58 immediately to the configure mode and 1:13:00 just do all of my modifications to The 1:13:03 Prompt in in configure mode so I 1:13:06 basically I basically manually edit it 1:13:08 after that first first trunch that could 1:13:11 be 1:13:14 it I don't know why they didn't account 1:13:19 for that and write it better but they 1:13:20 didn't it's just where it is right now 1:13:22 everything right now is a janky piece of 1:13:24 [ __ ] by the 1:13:25 way 1:13:27 194,00 threads in a 1:13:30 uh in a seat in Winchester Cathedral how 1:13:35 do we move our work from 3.5 to 1:13:39 4 I don't think you do do you do wait do 1:13:42 you I think all 1:13:51 your yeah all of my all of my promps are 1:13:54 still there but if I click on 1:14:00 them yeah I don't think there's a way I 1:14:02 don't think there's a way to migrate 1:14:04 like if you had a whole [ __ ] ton of 1:14:05 prompts in 1:14:07 3.5 I don't know that there's a way to 1:14:09 migrate them over if anyone knows that 1:14:13 please put it in there or share it in 1:14:14 the 1:14:16 salon 1:14:20 uh okay so now we've hopefully helped 1:14:25 saffre but if not it might just be that 1:14:27 you're running up against janky piece of 1:14:30 [ __ ] 1:14:33 boundaries we now have this new thing so 1:14:36 I'm in chat gp4 not yet now I 1:14:40 am and let's let's let's do something 1:14:44 here oh I got an 1:14:49 [Music] 1:14:50 idea I'm about to open a restaurant 1:14:57 and have the 1:14:59 space and the financing all picked out 1:15:02 and I need to come up with a theme for 1:15:04 the restaurant a name for the 1:15:07 restaurant and some 1:15:15 interesting 1:15:17 angle that will keep people coming 1:15:22 back 1:15:26 congratulations 1:15:30 theme cultural or Regional historical 1:15:33 era concept driven Farm to Table 1:15:37 eco-friendly Etc or interactive dining 1:15:41 oh things like Korean barbecue or hot 1:15:43 pot 1:15:50 restaurants signature dishes or drinks 1:15:53 okay this is good 1:16:06 oops let's go with Farm to Table 1:16:10 interactive period give me four new 1:16:13 Concepts combining those two 1:16:22 themes Seasons Harvest 1:16:30 Kitchen oh this actually a really good 1:16:33 concept Seasons Harvest a restaurant 1:16:35 where each table features a mini indoor 1:16:38 garden guests can pick fresh herbs or 1:16:41 select vegetables to be 1:16:46 included in the dishes in the dishes 1:16:49 that are cooked for them the menu 1:16:52 changes with the seasons highlight 1:16:53 highlighting the freshest local produce 1:16:55 that's pretty slick all 1:16:57 right the farmers table 1:17:04 Studio no that one looks like work 1:17:06 groven 1:17:15 Grill I actually just saw a uh a 1:17:18 storefront here in Denver I forget what 1:17:21 it's 1:17:22 called but the leftand store is like a 1:17:26 produce shop and the right hand store is 1:17:29 a 1:17:31 vertical um Urban Garden like a you know 1:17:34 hydroponic garden so they grow all the 1:17:36 [ __ ] in the right side of the store but 1:17:37 you can see it all it's all behind glass 1:17:40 and then they go Harvest it over there 1:17:41 and sell it to you in the farm store 1:17:43 part of the store that would be a cool 1:17:44 restaurant right you go into the farm 1:17:47 and you point you know you point out 1:17:49 okay ju just like you're pointing out 1:17:50 your lobsters that's pretty slick idea 1:17:52 all right let's just go with the 1:17:53 original one cuz I thought it was good 1:17:55 season Harvest Kitchen okay 1:17:58 great let's go with season Harvest 1:18:01 Kitchen and it's 1:18:03 now January and the restaurant is in 1:18:07 Denver so I want you to come up 1:18:12 with appropriate seasonal vegetables and 1:18:16 herbs for the 1:18:18 table and 1:18:22 then 1:18:25 five unique menu items for 1:18:44 Entre so we're going to have some root 1:18:46 vegetables on the table some Winter s 1:18:48 squash some leafy greens some herbs this 1:18:51 is actually a cool idea for a restaurant 1:18:53 restaurant it would be a pain in the ass 1:18:56 to manage but it would be a good 1:18:57 experience as a 1:18:59 diner cuz actually you know what it 1:19:01 would be you wouldn't have the the 1:19:02 veggies at the table you'd have like the 1:19:04 server would walk out with a giant 1:19:07 basket of fresh 1:19:10 produce and then you just sort of reach 1:19:12 in and pull out what you want or you'd 1:19:13 point to it and she'd pull it out cuz 1:19:15 she has to be sanitary or 1:19:17 whatever that'd be very cool all right 1:19:21 okay but wait Kyle why are we making a 1:19:23 restaurant here okay so what did it make 1:19:25 us it made us root vegetable medley 1:19:28 butternut squash risotto brazed beef 1:19:31 with winter greens spaghetti swash 1:19:33 squash with kale pasta Sage roasted 1:19:36 chicken with root vegetable 1:19:39 hash um okay so now watch what I'm going 1:19:42 to do I'm going to type in 1:19:46 at I'm going to put in 1:19:49 sin and I'm going to pull up my Sin City 1:19:51 sipper so now 1:19:55 inside so I've now got a chat about this 1:20:00 restaurant and I've got this GPT called 1:20:02 Sin City sipper that will make drinks 1:20:05 and so now I'm going to 1:20:07 say 1:20:09 please come 1:20:13 up 1:20:14 with by the way I've never tried this so 1:20:17 This Could fail please come up with 1:20:21 a nice 1:20:24 cocktail for 1:20:27 each entree that pairs 1:20:31 well and will impress 1:20:36 people and Inspire 1:20:40 them to try 1:20:49 it talking to Sin City 1:20:52 sipper 1:20:55 okay good so it says certainly pairing 1:20:57 each entree with the unique cocktail 1:20:59 enhances the dining experience at 1:21:01 Seasons Harvest Kitchen so it knows 1:21:04 we're in this conversation type slash on 1:21:07 your GPT it has new commands oh okay 1:21:12 cool and let's see if we'll see if it 1:21:15 makes images for all of 1:21:17 these and if not we're just going to 1:21:19 tell it to and then it's going to go 1:21:21 make us images for all of these 1:21:37 great now make me an image of each 1:21:48 drink it might tell us I can't no it's 1:21:51 doing it okay good 1:21:57 now however I've got Sin City sipper 1:22:00 programmed it you know it does really 1:22:03 good drink photos so we should get stuff 1:22:06 that's photo realistic beautiful drink 1:22:09 photos oh look at that [ __ ] 1:22:12 gorgeous God dang wait what's what's 1:22:15 that drink that is 1:22:21 the the winter spice oldfashioned 1:22:24 bourbon a dash of maple syrup angor 1:22:27 bitters splash of orange lure garnished 1:22:29 with a cinnamon stick and an orange peel 1:22:32 [ __ ] 1:22:34 gorgeous orange Peel's upside down but 1:22:36 you know what we'll forgive it that 1:22:38 could no one would notice that that 1:22:41 orange is upside down if that were in a 1:22:43 menu you'd be like yeah I'll take one of 1:22:44 those that looks really 1:22:47 good with the with the other than the 1:22:50 fact that it spelled the [ __ ] wrong 1:22:52 you'd have to photoshop out the the 1:22:54 thing but that's some sort of pear ass 1:22:56 Martini so that's going with the 1:22:58 butternut SC butternut squash risoto is 1:23:01 a sage and Pa 1:23:03 Martini God that sounds good although I 1:23:06 don't like 1:23:07 Sage the next one is a smoky blood 1:23:10 orange 1:23:12 Negroni 1:23:13 boom it says Smoky blood orange Negroni 1:23:16 on the 1:23:19 bottle look at this I mean that's a 1:23:21 little more summer than winter but 1:23:23 that's 1:23:27 okay there you 1:23:29 go original drinks paired with it so oh 1:23:33 wait let me let me try type in 1:23:41 slash oh wait it's still 1:23:49 going and by the way notice that the the 1:23:52 the prompt window here it says talking 1:23:54 to Sin City sipper right so I'm still in 1:23:57 my thing but this is basically like an 1:24:00 API out to 1:24:01 my out to my GPT which is pretty slick 1:24:04 so if I type in 1:24:06 slash what are the other Fe the 1:24:14 other is it 1:24:19 backslash I'm not getting 1:24:21 anything I'm not getting any other 1:24:23 features anyway I'm going close that out 1:24:27 um okay so that was a little GPT 1:24:31 speedrun a half hour speed 1:24:35 run oh image of the drink and the meals 1:24:38 that's a good idea 1:24:40 actually so let me go at Sin City sipper 1:24:50 again let's see and 1:24:54 and a photo of the first meal and 1:25:01 it's 1:25:07 drink I'm a Negative Nancy but Kyle 1:25:10 makes AI restaurants I can't visit 1:25:16 why a Negative Nancy or or a uh a poopy 1:25:20 Peter so we we go we'll go we'll go both 1:25:23 genders here so if you want to beat at 1:25:26 these restaurant this I'm telling you 1:25:28 this would be a cool restaurant wouldn't 1:25:31 it there's your roasted root vegetables 1:25:34 with you can either have your oh wait 1:25:35 you didn't see 1:25:38 it look you can either have your your uh 1:25:41 your spiced Bourbon Neat or On the 1:25:47 Rocks you could add an architectural GPT 1:25:51 to design the space Okay so so Silver 1:25:53 Fox you're getting into this is this is 1:25:55 what I want to talk 1:25:58 about 1:26:00 so up 1:26:03 until here's I talked about this a 1:26:05 little bit in the salon 1:26:08 tonight 1:26:13 um I keep saying this this phrase in 1:26:15 here nobody knows what they're doing or 1:26:18 or we have a a phrase in the salon act 1:26:21 act as if nobody knows what they're 1:26:23 doing because nobody knows what they're 1:26:25 doing and then you're like but Kyle you 1:26:28 got a whole Tik Tok Channel and you're 1:26:29 teaching people and you just made a 1:26:30 bunch of drinks and you know what you're 1:26:33 [Music] 1:26:35 doing and listen I don't know why you 1:26:38 talk like 1:26:40 that I'm sorry not picking on you it's 1:26:43 just how you talk it's just accurate I'm 1:26:47 a trained 1:26:48 professional I have a 1:26:51 degree anyway does he have a degree in 1:26:54 Ai No No it's acting 1:26:58 oh 1:27:03 um nobody knows what they're doing 1:27:06 because as of three days ago I was 1:27:11 starting to get my heads around 1:27:16 gpts you kind of make them you put them 1:27:18 out in the world you put some marketing 1:27:21 calls to action in them you if you're if 1:27:24 you're ambitious and sophisticated you 1:27:26 make them fancy if you're lazy and just 1:27:28 want to do slick sity sipper [ __ ] like I 1:27:30 do then you do that 1:27:32 like I I I even have this 1:27:36 graphic that I will share with 1:27:39 you or no I won't did my battery did my 1:27:42 keyboard die what what's what's going on 1:27:45 people what's 1:27:48 happening uh is that all crashed up what 1:27:53 what in the ever loving name of hang on 1:27:56 I got to unplug my phone got to plug in 1:27:59 the keyboard good Lord 1:28:04 people 1:28:06 um what was I going to 1:28:08 do piie solv this old 1:28:11 riddle what was I going to do what's I 1:28:15 doing [ __ ] 1:28:18 ad I hate it so much 1:28:21 sometimes like 1:28:25 you could add architectural GPT to 1:28:27 design design oh yeah that that that was 1:28:29 this was in reference to okay why nobody 1:28:32 knows anything it's 1:28:34 just so they just add this thing where 1:28:36 you can put a GPT inside a GPT 1:28:41 chat okay so in my head gpts were these 1:28:45 things you put out in the public and you 1:28:47 try to get people to use now I was also 1:28:49 thinking like well in fact I've built 1:28:52 some internal ones like I built an 1:28:53 internal sales process 1:28:56 one so I'm like you can use them for 1:28:58 internal use but it's like these things 1:29:00 you build and you share but now 1:29:02 that you can incorporate multiple gpts 1:29:06 inside a 1:29:10 conversation I don't even like where do 1:29:12 you even [ __ ] 1:29:19 begin yeah I 1:29:21 mean 1:29:25 like if I wanted to make 1:29:31 a if if if I had a business actually 1:29:35 here's a good thought if I had a 1:29:36 business Consulting restaurant 1:29:40 tours about how to come up with 1:29:42 restaurant Concepts and menus and things 1:29:45 like 1:29:47 that I could come up with a whole 1:29:49 methodology that you know for how I walk 1:29:51 them through the process 1:29:53 process and then go build a bunch of 1:29:55 specialty gpts that are all the 1:29:57 component 1:29:58 parts where one calculates you know cash 1:30:02 flow and 1:30:04 one is connected to the internet and 1:30:07 does all the ordering of 1:30:11 the you know the kitchen 1:30:14 supplies and one is real-time pricing of 1:30:17 produce and fish and meats from all my 1:30:19 favorite vendors and suppliers right and 1:30:22 so you could you could see building like 1:30:24 a whole chat for a specific company 1:30:28 where you just sort of go through it and 1:30:30 just go at and pull up your GPT and have 1:30:33 it run these little specialty 1:30:35 things so now gpts become modular 1:30:39 components in a modular Software System 1:30:45 what and then where I immediately go 1:30:48 after that 1:30:50 is well we just need to learn this 1:30:52 enough to 1:30:54 get the 1:30:57 concept 1:30:59 because back to this piece of 1:31:03 paper GPT this is from Sam Alman from 1:31:06 Davos this 1:31:08 week gp4 is best understood as a 1:31:13 preview progress here is not 1:31:18 linear so I think what there I I think a 1:31:22 thing they're teaching us to do here is 1:31:25 think about what you might want to do 1:31:28 think about what the world might be 1:31:32 like if you could 1:31:35 easily have a 1:31:37 conversation and have a bunch of 1:31:39 specialty agents that do [ __ ] for 1:31:43 you right those are 1:31:47 agents they're not quite autonomous 1:31:50 agents they're they they can sort of 1:31:51 take action if you've done your API work 1:31:55 sounds like they're making gpts like 1:31:57 Google page instead of go going to 1:32:00 Google 1:32:02 yeah and if you look at the Google 1:32:05 Gemini Ultra 1:32:08 demo the one have you 1:32:11 SE did you see the one where Google 1:32:14 Gemini 1:32:15 Ultra makes its own computer 1:32:21 interface this is [ __ ] stupid 1:32:24 people let's go find 1:32:27 this I got to show you this stuff cuz 1:32:29 it's we're going to talk we're going to 1:32:30 we're going to go find the future right 1:32:32 now Pates in here is like I can't I can 1:32:35 neither confirm nor deny that anything 1:32:38 that you're showing for Google Gemini 1:32:40 Ultra is uh actually functional it it's 1:32:44 very uh possible and likely it is a 1:32:46 technical preview and it will never 1:32:49 really just be um it's I can I do not 1:32:53 have I have may have I may or may not 1:32:55 have seen a Google Gemini Ultra played 1:32:59 with it's pretty [ __ ] remarkable but 1:33:01 I cannot confirm 1:33:04 or I need a nap my my kid's crying I got 1:33:08 to go anyway that was that's Pate 1:33:12 sometimes does that he just freaks 1:33:14 out okay we're going to go to Pat's 1:33:17 employer 1:33:19 here and we're going to go to the GOOG 1:33:26 what what why is my keyboard not working 1:33:33 people all 1:33:38 right connected all right go to the 1:33:47 goo Google 1:33:50 down so we're going to go go to the goo 1:33:53 we're about to test the accuracy of this 1:33:55 plane oh Mark 1:33:57 sh and then we're going to go to hand is 1:33:59 it hands- on with Gemini I think it 1:34:03 is the potential of Gemini a common 1:34:07 problem scientist F and then 1:34:09 it's yeah this one here you to see 1:34:13 okay all right let me turn off close 1:34:16 captioning CU it covers up [ __ ] all 1:34:19 right I'm working on Google AI stuff now 1:34:22 open source code called Max text oh cool 1:34:26 is it cool Pate anything anything cool 1:34:28 and groovy actually you know what Pate 1:34:31 you know we're talking about you know 1:34:33 you speaking at the salon I think you 1:34:35 could you could talk about some you know 1:34:38 under the hood 1:34:39 stuff if there's stuff that you're 1:34:41 working on at Google that is showable or 1:34:44 demo that could also be interesting like 1:34:47 the development environment like 1:34:49 Google's version of the open AI 1:34:51 playground could be interesting so 1:34:52 anyway think about that 1:34:55 okay just I I'll stop and start this as 1:34:59 appropriate but 1:35:01 but okay so we just played with gpts 1:35:04 we've got we we we played with chat GPT 1:35:07 we put gpts inside it which points to 1:35:10 this kind of modular Lego block kind of 1:35:13 future that we're getting trained on how 1:35:15 just how to even start thinking 1:35:18 about and then watch this demo of 1:35:22 Gemini's multimodal reasoning 1:35:24 capabilities to understand and reason 1:35:26 about users intent use tools and 1:35:28 generate bespoke user experiences that 1:35:31 go beyond CH bespoke user experiences 1:35:35 this is what um Todd was talking about 1:35:37 tonight in a AI Salon this is the thing 1:35:40 he was really excited 1:35:42 about when Todd was talking tonight 1:35:45 about Dynamic user interfaces and how 1:35:48 excited he was about it he works at 1:35:50 Google nobody on the planet right now is 1:35:54 talking about Dynamic user 1:35:58 interfaces but people at Google are 1:36:00 because of because of what I'm about to 1:36:02 show you chat interfaces let's say I'm 1:36:05 looking for Inspirations for a birthday 1:36:07 party theme for my 1:36:09 daughter Gemini says I can help you with 1:36:12 that could you normal chat GPT like 1:36:16 interace tell me what she's interested 1:36:17 in so I say sure she loves animals and 1:36:21 we're thinking about doing something 1:36:22 Outdoors at this point instead of 1:36:24 responding in text Gemini goes and 1:36:26 creates a bespoke interface to 1:36:30 help instead of responding in text 1:36:33 Google goes and generates a bespoke user 1:36:39 interface it figured out that its answer 1:36:42 was complicated enough it should write 1:36:44 its own software to make it easier to 1:36:47 answer the 1:36:48 problem help me explore ideas it's got 1:36:51 lots of ideas it's visually Rich it's 1:36:55 interactable now none of this was coded 1:36:57 up it was all generated by Gemini Gemini 1:37:00 uses a series of reasoning steps going 1:37:03 from broad decisions to so across the 1:37:07 top here are are these decisions that 1:37:09 it's making where it's going should I 1:37:11 just answer in text no you should answer 1:37:13 in a more complicated way oh what should 1:37:16 you know what should the what's the data 1:37:17 layer what's the interface layer what's 1:37:20 the and it's it does so so it's it's 1:37:23 essentially 1:37:24 reasoning about the level of 1:37:26 sophistication the interface should be 1:37:28 and then it's coding it and then it's 1:37:30 displaying it then it's populating it 1:37:32 with data and making it fully 1:37:35 functional to increasingly higher 1:37:37 resolution of reasoning finally getting 1:37:39 to code and data first Gemini considers 1:37:43 does it even need an UI is a text prompt 1:37:46 best okay this is a complex request that 1:37:49 needs lots of information to be 1:37:51 presented in an organized way Gemini 1:37:53 then tries to understand if it knows 1:37:55 enough to help there is a lot of 1:37:57 ambiguity I didn't say what my 1:37:59 daughter's interests are or what kind of 1:38:01 a party I wanted so it had asked a 1:38:03 clarifying question when I said we're 1:38:06 thinking about an outdoor party and my 1:38:07 daughter loves animals Gemini reasoned 1:38:10 it had enough information to proceed but 1:38:12 it made a note that there was still 1:38:14 ambiguity about what kind of animals and 1:38:16 this is important and what kind of 1:38:17 outdoor party next is a critical step 1:38:21 Gemini right the product requirement 1:38:22 document or PRD it contains the plan 1:38:26 Gemini writes the product requirement 1:38:28 document this is all in the context of 1:38:31 answering someone's 1:38:34 prompt like this is weeks of traditional 1:38:37 software 1:38:39 development happening as an answer as a 1:38:42 as a transparent series of steps now 1:38:44 what we don't know is how quickly this 1:38:47 happens right it could take it 5 minutes 1:38:49 to do this it could take 5 Seconds we 1:38:51 don't know Pate knows but he won't tell 1:38:53 us cuz he can't he wants to keep his job 1:38:56 functional the experience will have for 1:38:58 instance it should show different 1:39:00 possible party themes some activities 1:39:03 and food options for them now based on 1:39:06 this PRD Gemini tries to design the best 1:39:08 experience for the user's Journey it 1:39:10 thinks that the user will like to 1:39:12 explore a list of options but will also 1:39:14 want to delve into details it uses this 1:39:17 to design a list than detail layout that 1:39:19 we saw 1:39:20 earlier with the design it writes the 1:39:22 flutter code to compose the flutter code 1:39:25 it writes the flutter code so flutter is 1:39:28 an interface Library an interface 1:39:30 element 1:39:31 Library so Gemini has been given access 1:39:34 to interface and understands the rules 1:39:36 of how all that [ __ ] works it 1:39:38 understands how to write flutter code to 1:39:40 write the 1:39:41 interface then it writes the interface 1:39:44 then it populates it with data 1:39:50 so 2024 is going to get weird so if you 1:39:54 think you know what you're doing right 1:39:55 now you don't and if you're feeling 1:39:58 completely clueless like what the [ __ ] 1:40:00 is Kyle even talking about you're not 1:40:02 that far 1:40:03 behind so those those that have a head 1:40:06 start on everyone else are really behind 1:40:09 those that are really behind are 1:40:11 actually fine because they're just going 1:40:12 to be start they're just going to learn 1:40:14 the world when it's weird they're not 1:40:16 going to have to make the transition 1:40:18 from normal 2023 to what the [ __ ] 1:40:23 2024 all right so all you egotistical 1:40:27 Irregulars in here like hey I got this 1:40:29 figured out I got the gpts I made I'm 1:40:32 making images in Del you know what I'll 1:40:34 do sometimes if I want to be 1:40:36 sophisticated I jump over to Mid journey 1:40:37 and then I go to photoshop and 1:40:39 I all of you people you're going to be 1:40:42 just decimated you're just going to be 1:40:43 wiped out you're going to be like I 1:40:44 can't take it anymore I don't know 1:40:48 anything and then all the people that 1:40:50 are on the sidelines right now now are 1:40:51 like uh I don't know how to do this but 1:40:53 is this good you're like oh my God how 1:40:55 did you do that well I just didn't do 1:40:57 what you 1:41:02 did we going to have fun we going to 1:41:05 have fun here 1:41:06 people are we going have 1:41:13 phone anyone have any 1:41:20 questions did did anyone gain any 1:41:22 insights tonight cuz I am uh Punchy and 1:41:28 you know dehydrated and this is my 1:41:32 second performance of the evening it's 1:41:35 like it's like 1:41:37 a salon nights are like a Sunday on 1:41:40 Broadway right you got your matina and 1:41:42 then you got the 1:41:44 8:00 the 8:00 1:41:50 show 1:41:53 I would love to connect with you I need 1:41:55 to get the play with this platform can I 1:41:58 DM you 1:42:01 sure concerned citizens united yeah no 1:42:07 [ __ ] I got a big meeting in the morning 1:42:09 so I'm out good night Source Camp she 1:42:11 was at the salon meeting 1:42:13 too can you start from the beginning I 1:42:16 don't get 1:42:19 it from the of what don't get what from 1:42:22 chat GPT like what chat GPT is 1:42:27 Debbie cuz I did start from the 1:42:29 beginning I'm having fun kimpe is having 1:42:31 fun good Kim kimpe Kee 1:42:38 Kee you're from Portugal is that right 1:42:41 do I remember that right from 1:42:42 earlier such a great night thank you 1:42:45 Kyle thank you Cam I appreciate the kind 1:42:49 words times person of the year next year 1:42:51 is going to be AI generated probably 1:42:54 will actually or it'll be Sam Alman 1:42:58 what's the best place for a newbie to 1:43:00 begin okay important newbies 1:43:07 newbies get 1:43:11 ready you can make money 1:43:14 with that's it that's the 1:43:20 secret 1:43:22 no it's not okay 1:43:28 um day day that's the secret this is the 1:43:32 secret more and more and more what I'm 1:43:37 realizing is that no one right now can 1:43:41 do it alone you have to be in 1:43:44 community you have to be in community of 1:43:46 people who are AI literate curious 1:43:50 engaged Advent adventurous 1:43:53 generous you don't want to be in a 1:43:54 community of douchebags that are all 1:43:59 like I've got my little secrets and I'm 1:44:01 not going to tell you I've got my you 1:44:04 know [ __ ] crazy ass what doesn't just 1:44:07 no you don't want to be in those groups 1:44:09 you want to be in a group of people that 1:44:14 are you know have monkey mind The 1:44:17 Beginner's 1:44:20 mindset 1:44:21 that are willing to admit they don't 1:44:23 know anything even when they probably 1:44:28 do that's what this group is so when you 1:44:32 go there you're going to end up 1:44:35 here and it's a link tree that's got the 1:44:39 first link is to the AI Salon community 1:44:41 and there's some other cool stuff on 1:44:43 here like there's YouTube channel for 1:44:45 this the the the back recordings of this 1:44:48 channel are there and there's the GPT 1:44:50 for good good we did a we did a project 1:44:53 3 or 4 weeks ago now that this community 1:44:56 generated 150 gpts for nonprofits in 24 1:45:00 hours it's [ __ ] remarkable cool logo 1:45:04 is it AI generated no it is not Brad uh 1:45:07 Brad Perkins and myself designed the 1:45:09 logo that was actual human beings but 1:45:13 yeah I'm I'm happy with the logo and we 1:45:14 can do cool things like the first 1:45:16 anniversary special 1:45:18 edition anyway go to the community 1:45:22 Show and Tell okay I'll go to show and 1:45:24 tell okay so we're at the we're at the 1:45:26 uh Community um first place you're going 1:45:28 to go when you get here is welcome to 1:45:30 the salon you'll see that familiar 1:45:35 image and like what's this image about 1:45:37 this is about a group of adventurers 1:45:41 choosing to be on this AI adventure 1:45:43 together right so that's kind of what 1:45:44 the community is 1:45:47 about AI Salon is a ragtag group of 1:45:50 Misfits Nar do do Wells and Mis creant 1:45:52 who have gathered to explore the 1:45:53 Uncharted Wilderness of generative AI we 1:45:56 are everyone from entrepreneurs to 1:45:57 Educators from healthcare workers to 1:46:00 creatives and everyone in 1:46:03 between and I want you to go look at our 1:46:05 values and make sure that they resonate 1:46:08 with you because if they don't you're 1:46:10 going to think these people are [ __ ] 1:46:13 weirdos if they do you're going to go 1:46:17 holy [ __ ] I found my 1:46:19 people 1:46:21 this is really important this group is 1:46:24 scaling we're about to hit a thousand 1:46:26 people let's see if we hit 1:46:33 it 960 we're 40 people away from a 1:46:37 th so as this thing 1:46:41 grows it's really important that we 1:46:44 maintain what's special about this group 1:46:46 and what's special about this group is 1:46:48 who shows up here and how they show up 1:46:50 what they 1:46:52 do Debbie loves my life that's 1:46:56 good cuz I especially when I'm Punchy I 1:46:59 can be a bit of a smartass so I hope you 1:47:00 all think I'm funny because I do love 1:47:02 you all deeply curiosity is one of our 1:47:05 values are you curious or are you 1:47:08 cynical get curious get rabidly 1:47:12 curious generosity is the next one if 1:47:16 you're going to go learn this stuff and 1:47:17 keep it to yourself not your people go 1:47:21 learn this stuff and go Oho look what I 1:47:23 just learned look what I just figured 1:47:24 out want to know how I did it oh but 1:47:27 Kyle I've got all these proprietary 1:47:29 ideas okay keep a handful of the 1:47:32 proprietary ideas but just know that 1:47:34 anything that you've learned is going to 1:47:36 be obsolete in three months anyway so 1:47:38 why not share it because you just might 1:47:40 teach someone something and form a 1:47:44 relationship is the salon within chat 1:47:47 GPT no the salon is just a website so if 1:47:51 you go 1:47:52 to there the salon. 1:47:55 a that's going to take you there and 1:47:59 then you click on that top link and then 1:48:01 that's going to take you 1:48:05 here exploration we want people that are 1:48:08 adventurous we're choosing to be on this 1:48:11 adventure oh there's a new thing out let 1:48:13 me go try that not oh there's a new 1:48:16 thing out I'll get to it next week [ __ ] 1:48:18 that shit's moving too fast get on it SK 1:48:23 collaboration hey you seem to be good at 1:48:26 this thing I'm really shitty at and I'm 1:48:27 seem to be good at this thing you're 1:48:29 bitching about maybe we should get 1:48:31 together and do a little something 1:48:35 okay I got a barn I got costumes let's 1:48:38 put on a 1:48:41 show 1:48:43 inclusion do you know where most people 1:48:46 in generative AI what profession they're 1:48:48 coming 1:48:49 from I bet you don't 1:48:54 science 1:48:56 math 1:48:58 research no all of them people are 1:49:02 coming from 1:49:03 everywhere one of my favorite people in 1:49:06 this channel one of my one of my 1:49:07 favorite people in the world right now 1:49:08 is this guy named Jim Ross he he buys 1:49:11 and manages self- storage units and 1:49:14 teaches other people how to do it he is 1:49:16 kicking the living [ __ ] out of AI right 1:49:19 now he's he's using AI to amplify his 1:49:23 marketing and get creative with his 1:49:24 Marketing in ways that melt my [ __ ] 1:49:30 face so why be inclusive because there's 1:49:34 gold in every person that comes in that 1:49:36 has a different perspective than you and 1:49:38 no one knows what they're doing right 1:49:41 now so if if that's not something you're 1:49:43 down with then go find an exclusive Club 1:49:46 where they require degrees from Ivy 1:49:48 League schools that's fine you can find 1:49:50 them 1:49:51 and the last one's empathy and this one 1:49:54 for as Saucy as I'm being tonight it 1:49:55 doesn't sound like I have any but I have 1:49:57 deep empathy I think I have I am over 1:49:59 indexed on the EMP empathy 1:50:03 card people are 1:50:05 scared people are angry people 1:50:09 are in weird existential 1:50:15 quandries because the thing they did for 1:50:17 30 1:50:19 years is now 1:50:22 commodity what do they do with 1:50:25 that there's people in here who have 1:50:27 discovered their 1:50:29 artists who have told themselves all 1:50:31 their life that they're not artists and 1:50:34 now they are what do they do with 1:50:38 that so have empathy for people all 1:50:42 right so that's what we're about so so 1:50:45 take that stuff in and if you dig it 1:50:47 then I want you to join and then the 1:50:48 first thing that here's my request I 1:50:51 want you to join I want so it would be 1:50:54 nice how many people are in here 127 1:50:57 let's see if we can get 40 people in the 1:50:59 salon let's see if we can crack a 1:51:00 thousand 1:51:01 tonight first thing I want you to do is 1:51:04 go to the introduce yourself 1:51:07 section in community so the the last 1:51:10 person to introduce themselves was 4 1:51:12 hours ago so I can tell if you go join 1:51:17 right now and don't introduce yourself 1:51:18 I'll know and I will I will find 1:51:23 you and I will gently mock you no I 1:51:26 won't but introduce yourself why that's 1:51:30 scary Kyle I don't I don't really know 1:51:32 what I'm doing and I don't want people 1:51:34 to know that I don't know what I'm doing 1:51:36 and you don't want to I'm 1:51:39 shy introduce 1:51:41 yourself Embrace that value of 1:51:43 generosity and say hey here's who I am 1:51:46 here's what I do I'm [ __ ] terrified 1:51:49 hey here's who I am here's what I did 1:51:51 for 30 years now I'm retired I think I 1:51:54 just discovered this thing holy [ __ ] I 1:51:55 think this is the coolest thing I've 1:51:57 ever seen I it doesn't matter where you 1:51:59 are just introduce yourself what you'll 1:52:01 find is that it's it's an incredibly 1:52:03 welcoming group of 1:52:05 people there's not a lot of trolling 1:52:07 that goes on in here and when it does go 1:52:10 on it's usually aimed at me and that's 1:52:14 appropriate I'm the one that put the big 1:52:16 ass Target on my 1:52:19 back it's an incredibly supportive 1:52:25 group all right so go introduce yourself 1:52:29 then go play in here there's a water 1:52:32 cooler where you can just discuss [ __ ] 1:52:33 go crazy there's a show int tell Channel 1:52:35 which I was just told to go check out so 1:52:37 let's go check it 1:52:38 out oh that's beautiful dag that's a 1:52:42 good looking 1:52:45 car Suzanne Welker Jurgens I'm fairly 1:52:48 certain she wasn't a car designer but 1:52:50 she is now welcome to 1:52:53 AI if you didn't think you could do it 1:52:56 last year think 1:53:01 again are we goingon to do fun here 1:53:04 people I don't know what is it with uh 1:53:07 what is it with um what's it called DOI 1:53:11 giving me a beard all of a sudden I 1:53:13 can't not have a beard anymore oh my 1:53:15 gosh how did I do 1:53:19 that 1:53:22 I just didn't do what you did that's 1:53:25 that's who's going to be the next people 1:53:27 that do the impressive [ __ ] people are 1:53:29 going be like how' you do that I just 1:53:31 didn't do what you 1:53:33 did Sher bear what's 1:53:39 shaking the rabbit my getting my R1 blue 1:53:43 I hate the color 1:53:46 orange that's great that's beautiful 1:53:49 Sherry d 1:53:51 W I'm sleepy 1:53:54 people oh 1:53:56 man this Imes here are four new 1:54:00 Concepts oh the trolls the trolls AI 1:54:03 Salon you can make money with ch you can 1:54:05 make money with 1:54:09 ch who did that Mr it that's good Kyle 1:54:14 is back run let's take chumpy take the 1:54:19 guitar 1:54:22 see when I was out last night I was out 1:54:24 at some big fancy ass business dinner up 1:54:27 in Veil and everybody decided to come in 1:54:30 and make the good fun which is perfect 1:54:34 actually I love 1:54:37 it amazing I mean like look at what's 1:54:41 going on here like as we're 1:54:43 talking no sorry as I'm rambling 1:54:48 incoherently as people EB and Flow out 1:54:51 of you know hearing something I say or 1:54:53 just getting bored or whatever they're 1:54:54 going off and doing they're exploring 1:54:56 they're 1:54:57 playing right a big a big part of my 1:55:00 Philosophy for this channel is the best 1:55:03 way to learn AI right now is 1:55:06 play not work not learn not read the 1:55:09 manual not do the process just [ __ ] 1:55:13 play because the stuff is changing so 1:55:16 fast and and to you know some other 1:55:18 points that were made earlier a lot of 1:55:20 this stuff isn't all that secure and 1:55:23 it's there's privacy issues and there's 1:55:25 copyright it's just all sorts of 1:55:27 horeshit right now 1:55:29 right so don't take it too seriously but 1:55:32 take it seriously like you've never 1:55:34 taken anything seriously in your life 1:55:36 serious 1:55:40 play serious 1:55:42 play like really 1:55:44 commit to like look at that image that 1:55:47 Danielle created there with fractals and 1:55:49 it AI learning lab with with fractals 1:55:52 holy [ __ ] that's cool 1:55:55 right how do you make that I don't know 1:55:59 figure that out here watch here's here's 1:56:01 a way to do it I'm going to go copy 1:56:04 image I'm going to flip over to chat 1:56:11 J I'm going to paste it in I'm going to 1:56:14 say describe 1:56:19 this 1:56:26 and it will and I'm not even going to 1:56:27 read 1:56:29 it but look it it it got it says AI 1:56:32 learning lab it figured that [ __ ] 1:56:37 out I'm just going to go make 1:56:41 an make 1:56:45 a an 1:56:48 image based on the 1:56:53 prompt but make the 1:56:57 colors 1:56:59 warm and the 1:57:05 fractals um 1:57:12 angular let's see how we 1:57:15 do I love the AI Salon I don't know ship 1:57:19 but I try Debbie that is the 1:57:22 secret Debbie has it Debbie's going to 1:57:24 be one of those on one of the ones in 1:57:26 here that does something remarkable that 1:57:27 everyone else is going to go how'd she 1:57:29 do that and she's gonna be like I just 1:57:31 didn't do what you 1:57:34 did I didn't know [ __ ] so I did the 1:57:37 other 1:57:41 thing now that's beautiful it didn't 1:57:43 have it doesn't have ai Salon anywhere 1:57:45 in it but it's 1:57:47 beautiful like how did I learn to do 1:57:50 that I 1:57:52 didn't I took what she learned how to do 1:57:55 and got inspired by it and made that and 1:57:59 now I could say now 1:58:04 incorporate AI 1:58:08 Salon 1:58:11 rocks I'm going to put that in quotes 1:58:13 because that seems to 1:58:16 work 1:58:18 oops my interface is broken but that's 1:58:25 okay I just sent an invitation to Mr 1:58:28 some Irregulars that live in Texas to 1:58:29 join the volunteers interest awesome 1:58:34 fantastic oh that's the other thing 1:58:36 we're doing in the um in the AI Salon if 1:58:39 if you're if you're a regular here or an 1:58:41 irregular um in the AI Salon there's a 1:58:46 new there's a new page called volun uner 1:58:51 interest and so if you go there you can 1:58:54 click on this it'll take you to a Google 1:58:57 form um where you can you know express 1:59:01 your interest in volunteering one of the 1:59:02 things that we're starting 3 weeks from 1:59:05 now are local AI after hours meet and 1:59:09 greets or whatever we call I don't know 1:59:11 what we call them well we're calling 1:59:12 them AI after 1:59:14 hours um but if you want to host one in 1:59:16 your local Town we're doing the first 1:59:18 one in Denver next week and then the 1:59:20 follow two weeks after that we're going 1:59:23 to do the the first batch of local ones 1:59:26 so if you want to volunteer for that or 1:59:28 for other things like we need there's a 1:59:30 number of things we need so go fill out 1:59:32 that 1:59:33 form all 1:59:37 [Music] 1:59:40 right let's 1:59:42 see there is no text in this image you 1:59:49 [Music] 1:59:55 ninnie [ __ ] chat GPT you should be 1:59:58 generating the image in Dolly you get 2:00:00 two images yeah I know I you know why I 2:00:03 didn't do it Danielle I was going to do 2:00:04 it in Dolly and then I was like oh then 2:00:06 I'm going to have to explain why I did 2:00:07 it in Dolly and not just in chat GPT so 2:00:11 I'm I'm I'm lazy so I did I did make 2:00:15 that calculation it's a good suggestion 2:00:17 it's the right suggestion it's just not 2:00:19 the right suggestion for me right now 2:00:21 cuz I'm [ __ ] fried crispy AI Salon 2:00:25 rocks look that's beautiful and look 2:00:27 look what I'm going to do copy 2:00:29 image go over to the salon scroll down 2:00:32 to show and tell Pop it in 2:00:38 there 2:00:39 boom 2:00:42 go take that 2:00:45 Danielle wait let's tag her at Danielle 2:00:51 yeah be not afraid you be afraid 2:00:54 now because we 2:00:56 got images and we got 2:01:00 Irregulars 2:01:02 yeah we're not going to notify the whole 2:01:05 network that that we put up a a pseudo 2:01:09 stolen origami image but I mean 2:01:13 listen I'm kind of jokingly you know 2:01:16 saying like how do you learn like that's 2:01:18 how you learn you just play you're just 2:01:20 like I don't know how to do that well 2:01:22 okay that's the cool thing about this AI 2:01:24 stuff there's no manuals for it so just 2:01:26 try [ __ ] and you'll end up with some 2:01:29 cool Corvette like that that's beautiful 2:01:31 by the 2:01:37 way where's her 2:01:43 image there from 2:01:48 that 2:01:50 to 2:01:51 that what'd that take three 2:02:05 minutes you know if one of the 2:02:08 intimidation if one of the ways that 2:02:10 you're intimidated by AI is you hear 2:02:12 people talking about you just made a 2:02:15 quilt Kyle I'm so proud of 2:02:18 you that's good Becky that would be a 2:02:21 beautiful quilt wouldn't 2:02:23 it one of the things that can be 2:02:25 intimidating about all this AI [ __ ] is 2:02:28 the the first level of intimidation is I 2:02:30 have to be a mathematician right because 2:02:33 until like a year ago that was 2:02:37 true that was true if you weren't an 2:02:40 engineer if you weren't you know a geeky 2:02:44 nerd 2:02:45 neried Code 2:02:48 Monkey or technology 2:02:51 strategist 2:02:53 um this stuff was really hard if not 2:02:55 impossible 2:02:58 right and so then chat GPT comes out and 2:03:01 they're like well you you have to be a 2:03:03 prompt 2:03:05 engineer you're like wait what I have to 2:03:08 be an engineer no a prompt engineer you 2:03:10 have to be like good with English and 2:03:13 you have to do it in an engineering way 2:03:15 and people are like what that sounds 2:03:18 awful aren't words like not engineering 2:03:21 it's prompt engineering if you want to 2:03:23 be successful in this business got to be 2:03:25 a prompt 2:03:26 engineer someone just got hired for 2:03:28 $900,000 to do prompt engineering that 2:03:31 lasted for like three 2:03:34 months I don't know who ever hired that 2:03:37 person but that person's pretty happy 2:03:40 right now I have a song in mind I want 2:03:43 to sing it and have an app make music 2:03:46 that is doable but I don't know what 2:03:48 it's called so what I would do lead of 2:03:51 vco is um go to futur 2:04:18 pedia.com level of intimidation is is 2:04:21 you 2:04:22 know just there's so many tools and 2:04:25 there's now people are making movies and 2:04:27 this and you're like wait I was just 2:04:28 getting my head around chat GPT and now 2:04:30 I got to make movies and now they're 2:04:32 making songs I my head hurts right so 2:04:35 just this is why just play don't feel 2:04:37 like you got to figure it out you're 2:04:38 never going to figure it out none of us 2:04:40 are so just play just play just play 2:04:44 just play just play just 2:04:48 play 2:04:50 and then once you start to get your head 2:04:51 around some of the tools then tell 2:04:54 people that you're doing that and start 2:04:57 seeking out 2:05:01 projects hey Sally how's it going oh 2:05:03 it's going okay I'm learning AI oh 2:05:05 you're learning 2:05:06 AI yeah how's that business going oh I'm 2:05:10 stuck I can't really come up with a name 2:05:12 hey could I use chat GPT to help you 2:05:14 come up with a name oh yeah you you can 2:05:17 do do do you do branding I do now oh 2:05:23 okay and then help your friend come up 2:05:25 with a brand for their 2:05:27 business and then they will be blown 2:05:31 away they'll have a good name for their 2:05:33 business and you'll have spent 15 2:05:35 minutes of your 2:05:37 life doing a cool thing for 2:05:41 someone and then write about that on 2:05:43 LinkedIn share it on Facebook tell your 2:05:45 friends at dinner tell your spouse tell 2:05:47 your kids tell the people at work work 2:05:49 you know the people that work that look 2:05:51 at you funny every time you talk about 2:05:52 AI keep talking about AI to 2:05:56 them but Kyle that seems rude they 2:05:59 they're not interested I know they're 2:06:00 not interested that's not important 2:06:02 right 2:06:04 now what's important is you make you you 2:06:07 make them 2:06:11 uncomfortable that's that's the 2:06:14 important 2:06:15 thing I I will teach you the ways the 2:06:19 the ways of the 2:06:25 world oh 2:06:27 man all right listen people I'm leaving 2:06:30 this is not going to be a 30 minute 2:06:31 goodbye I'm [ __ ] done I'm Crispy I 2:06:34 can't talk I'm making fun of people it's 2:06:36 not just PE you know what I'm saying you 2:06:39 know what I'm saying look at these eyes 2:06:41 they're bloodshot they're 2:06:43 squinty I haven't cried yet tonight so 2:06:46 there's that I did a little crying 2:06:48 earlier this 2:06:51 week did we have fun tonight did you 2:06:54 have fun okay if you had fun some ways 2:06:56 you can support the channel follow 2:07:01 me five minute goodbyes thank you 2:07:03 Danielle appreciate that the 2:07:06 confidence um you can subscribe to my 2:07:08 lives that supports me directly you can 2:07:10 buy 2:07:12 the thank you share bear you can buy the 2:07:16 uh video series in the corner here 2:07:19 called um underhyped it's like an 18 2:07:22 video series that I put together where I 2:07:24 took my best videos talking about why AI 2:07:28 the [ __ ] and put them together so if 2:07:30 you're trying to get your head around 2:07:31 this stuff that'll help it talks about 2:07:33 how they work it talks about how to not 2:07:36 get overwhelmed it's there's a bunch of 2:07:37 cool stuff in there um you should join 2:07:41 the AI Salon if you dig what we're up 2:07:47 to so that that's that URL right there 2:07:51 the 2:07:52 salon. we're like 40 people from a 2:07:55 thousand in that 2:07:58 community and you're like I'll do it 2:08:00 tomorrow no do it 2:08:05 tonight I'm going to be annoyed with you 2:08:07 either 2:08:10 way the fact that I just had to yell at 2:08:13 you cuz you're like oh I'm too tired 2:08:14 I'll do it tomorrow you're too 2:08:17 tired there's no tire in 2:08:23 AI we don't have lives outside of this 2:08:27 we nickname Friday night lives date 2:08:29 night for a reason life's tough it's 2:08:31 tough are when you're 2:08:35 stupid you you go there now you sign up 2:08:38 now you introduce 2:08:41 yourself but Kyle I'm shy I don't 2:08:46 care I used to be shy no I didn't 2:08:51 I have other issues okay they run 2:08:57 deep to my Irregulars um I saw a bunch 2:09:00 of you in the uh in the salon tonight 2:09:02 there also a bunch of new people there 2:09:04 so um thank you I've I've been noticing 2:09:06 there's a been a real uptick there's 2:09:08 more people lately have been welcoming 2:09:11 new people into the salon and I'm 2:09:13 digging it so thank you for that thank 2:09:15 you for all you all you guys do um 2:09:20 thank you for the mods for modding it 2:09:23 was a good job modding tonight it was 2:09:24 just seemed very smooth so I don't know 2:09:26 I don't know what you're doing if I 2:09:27 don't know if there's fist fights going 2:09:29 on in the back I haven't even looked in 2:09:30 the back end what's going on back there 2:09:32 have you guys have you guys disowned 2:09:34 each other 2:09:35 yet forever hooked left at 12:40 a.m. 2:09:43 [ __ ] there's no sleep in 2:09:46 AI there's no crying and 2:09:53 baseball all right let's say goodbye to 2:09:55 some people Amelio's wife good to see 2:09:57 you congratulations on being on time 2:09:59 it's such a rare occurrence it's so nice 2:10:01 when it happens we might as well we 2:10:02 might as well call it out right 2:10:04 encourage that 2:10:08 behavior all right 2:10:11 Leo I will try now fantastic Tracy good 2:10:14 night a human being nighty night two 2:10:17 block Tom like the name 2:10:19 Brandon good to see you take care Mike 2:10:21 Row thank you as always Clint Copperhead 2:10:23 you're the best Danielle likewise Robert 2:10:26 Rossy absolutely amazing thank you 2:10:28 sir uh Becky Rue good night to you too 2:10:33 uh 2:10:34 Tobias Tobias Tobias sherid D 2:10:38 Tracy Debbie good having you in here 2:10:41 tonight all right cam kin it's cam cat 2:10:45 from kin from Cleveland can I Share 2:10:51 Bear Spike Jones always good to have you 2:10:53 in here sir he Spike Jones you know he 2:10:57 comes in he he fights a good fight he 2:11:00 comes in conspiracy theory 2:11:03 heavy got a lot of questions but he's 2:11:06 got a heart of gold that Spike Jones I 2:11:08 like him 2:11:10 um Jesus Connection GPT can write the 2:11:14 bio it indeed it can Matt I'm in awesome 2:11:17 welcome welcome welcome 2:11:19 solar cycle lady nice name nice flowers 2:11:23 oh t-rock thank you very much for the 2:11:25 Galaxy that is lovely oh it's so lovely 2:11:29 the colors and the angles it's very 2:11:32 sassy all right listen people it's 2:11:35 Tuesday night you can make money 2:11:38 with 2:11:40 and uh you know what that means don't 2:11:44 you tomorrow's 2:11:46 Wednesday I it's as far as I know it's 2:11:50 possible AI has changed that and ruined 2:11:52 everything and and don't don't don't 2:11:55 fall into the Trap of how do we solve 2:11:58 the AI 2:12:01 problem lean into how do we take 2:12:04 advantage of the AI 2:12:06 opportunity it's easy people just bend 2:12:10 toward the light just bend toward the 2:12:12 light there's the Dark there's the light 2:12:15 go that 2:12:16 way peace 2:12:19 I love youall I really do hope you have 2:12:20 a good night bye