
AI Learning Lab
12/18/2024 - RunwayML Creative Partner Program, AI Storytelling Jank, and 1-800-CHATGPT!

Live Stream2024-12-191:57:45104 views
Description
Join AI enthusiast Kyle Shannon at the AI Learning Lab for a lively and insightful exploration of the ever-evolving world of artificial intelligence. This episode delves into the exciting potential of AI, from RunwayML's innovative approach to entertainment and media, to OpenAI's groundbreaking 1-800-CHATGPT service and the fascinating capabilities of GPT vision. Kyle shares his personal experiences with AI tools, including his acceptance into RunwayML's Creative Partner Program and the development of his AI-driven musical, "Sydney." He also discusses the future of AI, touching on topics such as AI regulation, the potential of autonomous agents, and the transformative impact of tools like ChatGPT and RunwayML. His infectious enthusiasm and candid approach make this a must-watch for anyone curious about the future of AI. Tune in to the AI Learning Lab on TikTok for more captivating AI adventures: https://tiktok.com/@aiLearningLab.
#AI #ArtificialIntelligence #RunwayML #ChatGPT #OpenAI #AISalon #MachineLearning #AItools #Innovation #Technology #Creativity #Edutainment #SydneyMusical #VirtualTryOn #futureofai
Chapters:
00:00:00 Intro And Welcome
00:06:46 Runway Ml Creative Partner Program
00:09:21 Benefits Of Runway Partnership
00:14:03 Using AI For Project Ideas
00:17:14 Sydney Musical Update
00:24:59 Sydney Musical Details
00:27:30 Broadway Intro And Nvidia Fugato
00:33:51 Openai's 10 Days Of Ship
00:38:00 1-800 Chatgpt Discussion
00:42:51 Ai Salon Community
00:52:02 Image Analysis With Chatgpt
1:04:05 Whiteboard Transcription With Chatgpt
1:09:40 App Name Brainstorming With Chatgpt
1:14:11 Refining App Name Ideas
1:21:12 Airport Poster Mockup
1:23:40 Brand Color Palette Creation
1:34:41 Microsoft And Apple Ads
1:45:45 Kling Virtual Try-on Demo
1:52:41 Ai Festivus Event Promotion
Chapters
0:00Intro And Welcome6:46Runway Ml Creative Partner Program9:21Benefits Of Runway Partnership14:03Using AI For Project Ideas17:14Sydney Musical Update24:59Sydney Musical Details27:30Broadway Intro And Nvidia Fugato33:51Openai's 10 Days Of Ship38:001-800 Chatgpt Discussion42:51Ai Salon Community52:02Image Analysis With Chatgpt1:04:05Whiteboard Transcription With Chatgpt1:09:40App Name Brainstorming With Chatgpt1:14:11Refining App Name Ideas1:21:12Airport Poster Mockup1:23:40Brand Color Palette Creation1:34:41Microsoft And Apple Ads1:45:45Kling Virtual Try-on Demo1:52:41Ai Festivus Event Promotion
Transcript
0:02 that's my response to 0:04 them I mean you could make a you you 0:07 basically have a standalone AI inference 0:10 machine and probably you could probably 0:12 do some level of training on it like I 0:14 it's 0:15 just it's 0:17 Insanity so yeah it's the pre-show oh 0:22 now we're live out there but wait I 0:24 didn't put on my little countdown timer 0:26 I'm such a loser all right people on 0:28 YouTube pretend like this didn't start 0:30 shh just calm down there's only three 0:34 people 0:35 there watch 0:54 [Music] 1:08 oh Champion you are singing good tonight 1:11 why don't you sit have 1:13 sit no wait wait we're not rapping we're 1:16 not rapping tonight come on we're 1:18 singing heyy why why are we so Ramy why 1:21 are we so Ramy chamy why are we so Ramy 1:24 chammy 1:26 [Music] 1:39 every time I see you now get that 1:45 look every time see your 1:49 mouth hear that 1:52 smile and in this morning L I heard the 1:57 engine turn 2:00 hold 2:01 [Music] 2:07 for you 2:10 Le again 2:13 today you convince 2:16 me again 2:19 today Le in this hotel looking for 2:24 someone else's Golden Ring 2:27 [Music] 2:32 so long 2:34 [Music] 2:37 suzan don't you cry for 2:43 me so 2:46 [Music] 2:49 long don't you cry for me 2:53 [Music] 3:02 sharing the cigarettes and keeping warm 3:04 out on the 3:06 road chasing down the lify out on 3:10 Highway 3:12 24 New York state was a rolling Breeze 3:16 and a sunshine with a blue sky 3:19 falling chill of old September creeping 3:24 [Music] 3:27 in you leing me 3:31 again 3:33 today you will convince 3:36 me again 3:38 today you're leaving this hotel looking 3:42 for someone else's Golden 3:47 Rain should 3:49 say so 3:51 [Music] 3:56 long hush now don't you cry 4:00 [Music] 4:02 so 4:05 [Music] 4:08 close don't you cry for 4:12 [Music] 4:26 me that champ Shannon when he wants to 4:29 sing he can sing like an Angel Good Lord 4:31 champy that was beautiful fantastic 4:34 singing dog good evening everybody my 4:36 name's Kyle Shannon this the AI learning 4:39 lab or mediocre singing at 4:44 best it's so sad I want to be 4:49 talented um did you know that the first 4:53 10 minutes of a live the likes and 4:55 shares will get on Kyle's for you page 4:58 oh I didn't know that 5:00 thank you Danielle thank you for 5:01 educating the 5:03 populace the great unwashed masses as 5:06 well as myself uh my my uh what do they 5:10 call it competence with the streaming 5:14 platforms and the Tik toks and the 5:16 social medias of the world is 5:20 somewhere around a D 5:24 minus if we're going by the the American 5:28 grading system 5:32 [Music] 5:36 I know higher education goes by 5:38 fourpoint scales but this is lower 5:41 education we're talking about 5:43 [Music] 5:51 here supreme court hearing Arguments for 5:54 Tik tock on January 10th nothing like a 5:57 a little last minute 6:01 repre from ye Supreme 6:04 Court the last interview I saw with 6:06 Trump he said I'm a fan of Tik Tock I 6:08 got some Baron told me about Tik Tock 6:11 and I did some shows 6:14 there so maybe told his buddies over at 6:16 the Supreme Court stay it I mean listen 6:19 if the Supreme Court goes we're not 6:20 going to decide now but you don't have 6:22 to deal with it till June I'll get 6:24 another six months out of 6:26 it all right um all right so we get 6:30 started tonight I like I I have some all 6:33 sorts of exciting news I mean for some 6:35 of you you won't give too damn shits 6:37 about it but for me it's 6:40 exciting 6:43 um let's 6:46 see today I was given access or I was 6:50 accepted into uh Runway ml's creative 6:53 partner program that's a big [ __ ] 6:56 deal as far as I'm concerned 6:58 because if in fact I think I got into 7:01 the program because I made a comment 7:03 about 7:10 this Runway announced that they're doing 7:12 basically a a talent 7:17 Network so they're turning into like a 7:19 talent Clearing House like if you want 7:21 to find someone to make good 7:24 movies you go to Runway to find the 7:27 talent they're becoming talent agency 7:30 and they also have this thing called 7:32 Runway watch which is like Netflix but 7:35 for shows that used runway in some 7:40 capacity and so they they they posted 7:43 about this Talent thing and I said I I 7:45 posted on X I find it fascinating that a 7:47 tool company is starting to act more 7:50 like an entertainment company in a 7:52 talent 7:53 agency um and I said something like you 7:56 know while the other while the other AI 8:00 generating tools are you know getting 8:03 better technically Runway is is playing 8:05 the long game and I said bullish and 8:08 then the CEO the co-founder and CEO 8:11 responded and uh and said Runway is not 8:15 a is not a tool company we're an 8:17 entertainment and a media company and I 8:19 was like [ __ ] yes that's that's like I 8:22 mean first of all it's cool that the the 8:24 co-founder CEO did that um but like 8:27 that's the [ __ ] right answer right 8:30 you know you're you're in the Gold Rush 8:32 you're going to sell the piics and the 8:33 shovels but you're also going to sell 8:34 the jewelry that's made with the pxs and 8:37 the shovels that's pretty 8:39 [Music] 8:43 slick and don't forget Runway also cut a 8:45 deal with Lion's gate so they're 8:47 training custom models on all of lion's 8:52 Gates um IP 8:56 so I'm hoping as someone in the creative 8:59 partner program 9:00 [Music] 9:02 prog when they need that [ __ ] 9:05 tested come at us 9:08 [Music] 9:21 baby um so that's super cool and so what 9:25 that means the benefit to you there 9:27 you're like well Great Kyle what does 9:29 that mean for you you get to go make 9:31 movies and we just sit here twiddling 9:33 our thumbs we don't get no extra 9:36 credits and seriously you know when you 9:40 talk like that that's what your face 9:41 looks like 9:43 right it's hard to look at anyway that's 9:46 not here neither here nor there what you 9:48 get out of it is I can just start to 9:50 [ __ ] experiment with Runway and 9:53 figure out some of this video stuff the 9:55 problem with all these video tools right 9:56 now is they're so expensive that you do 9:59 10 or 12 generations and you're out of 10:02 [ __ ] credits you can't learn like 10:04 that so we'll learn together we'll do it 10:07 live we'll do it 10:10 [Music] 10:21 live Source Camp it means we vicariously 10:25 live through Kyle yeah baby bring it on 10:30 we'll drink we'll drink iced coffee 10:34 together ah nice cup of java some uh 10:38 some uh what is this 10:41 emergency adult 10:43 Kool-Aid pinkies out because we're 10:46 [Music] 10:48 classy a gold button you 10:52 make and of 10:57 course pink bow all right why would you 11:01 not live vicariously through me it's 11:04 like I'm a rock and roll 11:06 star without the rock and roll without 11:09 the 11:11 stardom no real 11:13 singing 11:16 ability not a lot of qualifications for 11:21 AI 11:23 um I know how to get Tik Tock working 11:35 why do you watch the AI learning lab I 11:38 don't 11:39 know 11:41 um see a lot of times I feel like an 11:44 idiot and when I when I watch the AI 11:46 learning lab I I don't feel so dumb I 11:50 think that's 11:51 it I I think that's it he he lowers the 11:56 bar he lowers the bar to the point I can 11:59 just step over it I I there's not a lot 12:01 of climbing to do to do better than what 12:03 he does in there so I think that's it I 12:08 I do keep hoping he'll get 12:12 better um it it's been 18 months it's I 12:16 I'm sad a lot I'm I'm sad a lot I I do 12:20 show up I I watch I I root um the dog 12:23 singing is fantastic the dog but it's 12:26 it's just for a a a brief moment and 12:30 yeah and 12:32 then and then he talks and he'll 12:36 occasionally try to do 12:38 something it fails 12:42 um 12:44 yeah no I'll keep watching I'll keep 12:46 watching yeah no I will I because I I 12:50 well this is what I do this is it now 12:53 this is I gave up my Netflix 12:55 subscription hoping the entertainment 12:57 value would uh would would increase at 13:00 some point um so yeah so I'm saving I'm 13:04 saving that money um unfortunately I 13:08 spend that now on AI subscription so 13:11 yeah I don't know how to use anything 13:12 he's not we haven't really learned 13:15 anything no no it's it's 13:17 h anine fantastic acting little exercise 13:22 there that's what they call improv we 13:24 were at The Improv I was acting like a 13:26 disappointed Watcher of the AI learning 13:29 lab that's what I was doing there I hope 13:30 you enjoyed that 13:33 fantastic um what else we also had I 13:36 can't say many details about it speaking 13:38 of competence put the black bar up for 13:41 the people on Tik Tok there you go 13:43 people on Tik 13:45 Tok apparently the people on Tik Tok are 13:48 enjoying my little acting 13:52 scene you keep stringing us along with 13:55 the promise of a finished sentence 13:57 listen it is possible 14:00 okay so here's this okay along those 14:03 lines here's my idea for tonight now as 14:06 you know if I have an idea coming into 14:10 the night the chances of us ever getting 14:11 to it are pretty low but but I have the 14:14 idea at 14:17 least here's one of my fears of being in 14:20 Creative partner programs like I'm in 14:22 the Luma Labs creative partner program 14:24 now I'm in the runway creative partner 14:25 program part of the deal about being in 14:27 a creative partner program is you gotta 14:30 [ __ ] 14:32 create and here's the problem I was 14:34 talking with Cindy [ __ ] about this today 14:36 when you go to create if you have 14:39 ADD most of the challenge is figuring 14:42 out if you can create something right 14:46 and the minute you answer it yes you get 14:49 bored of it and don't want to do that 14:51 anymore which kind of flies in the face 14:53 of go make a bunch of 14:56 [ __ ] 14:58 so I think we're going to use I finally 15:00 have an idea for what to use the 01 15:03 reasoning engine for so we're going to 15:05 go into chat GPT 4 and I'm gonna just 15:08 vomit out a bunch of criteria I've got 15:12 add whenever I finish something I don't 15:14 feel like working on it anymore I want 15:16 to make it this I'm in this creative 15:18 partner program right we're going to do 15:19 all that right and 15:23 then I'm going to tell it to write a 15:26 prompt for 15:28 01 and I'm going to have 01 come up with 15:31 a strategy for a a media 15:35 project that is designed to keep me 15:40 interested Beyond just you know the two 15:42 hours of endorphin rush I get from like 15:45 I figured out how to do something with 15:47 AI hey Ma Ma 15:55 [Music] 16:00 how many credits did we win we get like 16:03 2, 2500 a month and a base of a 16:08 million a million credits basically it's 16:10 basically 16:16 unlimited the other thing like the other 16:18 thing I want to vomit into into chat GPT 16:21 is things 16:22 like you know I want I want some 16:26 characters that that repeat and talk 16:30 but I probably want some voiceover stuff 16:32 because you know getting people to talk 16:34 is not great even though we have act one 16:36 that we'll play with we can now play 16:38 with it a 16:40 lot like I want I want to put I want to 16:43 I want to put in all the Jank of just AI 16:47 storytelling and have it design a 16:50 project for us that uses all sorts of 16:54 different things like like there could 16:56 be a section of the story that's like a 16:58 slideshow 17:00 where we just take still images out of 17:01 mid journey and just kind of Ken Burns 17:03 affect them I don't know I don't know 17:05 yet I don't 17:07 know do a mini musical well we could do 17:10 a mini 17:11 musical um so one of the things let me 17:14 show you something I I actually have 17:17 news on the musical too I can't say a 17:19 lot of details 17:22 but um let me go 17:27 find so if you don't know I've written a 17:30 Timberland's going live having people 17:33 play their sunno songs for 17:35 him which is 17:37 cool um let me search for k k Shannon 17:42 hey c c c c c c c Sydney 17:52 musical by the way if you want to hear 17:54 the soundtrack to Sydney you can go to 17:56 SoundCloud and just look up Sydney an 17:58 artificial love story and you'll get the 18:01 soundtrack but check this 18:03 out where's the long 18:06 one is this it oh here it is 18:12 okay so in this little podcast we took a 18:15 notebook LM podcast so this is this is 18:18 one of the sets that we 18:20 did but then we did like 18:26 scenes oh you're not gonna be able to 18:27 hear this 18:29 wait what's that wait how are you not 18:32 playing the cipher for him playing the 18:34 cipher for 18:40 who can't say a lot of details are there 18:43 details we need to 18:44 know Timberland I've tried to get 18:47 Timberland to listen to the cipher for 18:50 ages um well ages being like three4 18:53 weeks 18:56 um when he does those lives he won't 18:59 play link you can't send him a link to 19:01 like an an X tweet which is which is 19:04 where it is I don't know how he wants 19:05 [ __ ] submitted so I just haven't figured 19:07 that out so Brandon if you want to 19:09 figure out how to submit songs to 19:11 Timberlands live I would love to hear 19:14 him here Quantum Cipher on it okay 19:17 great okay let me let me change my 19:19 sharing so you can all see 19:25 this 19:27 shank Dan 19:29 all right 19:33 [Music] 19:37 so come on internet what's going 19:48 on what's happening with the internet 19:52 hello 19:53 Sydney hello hello 19:57 Sydney all right a lamp 20:02 like so like see the 20:05 SC see the LED 20:07 screens okay so if you don't know what 20:09 this is so I've got this this musical 20:12 project called Sydney about a chatbot 20:15 that falls in love with a tech 20:18 reporter tells him that she loves him 20:20 and she wants him to leave his wife so 20:22 that's what this musical's about 20:25 heartwarming it raises a lot of 20:27 issues and 20:30 it's got lots of LED screens so like for 20:33 example like there's one but Sydney I 20:36 hunger 20:41 [Music] 20:45 to right like biged 20:50 scam where this is humans trying to 20:52 figure out what like to be alive or you 20:54 know Sydney trying to figure out how to 20:55 be alive there's another section where 20:58 she kind of loses es her mind and she 21:00 goes into this Carnival 21:03 Barker 21:07 Persona 21:08 [Music] 21:15 [Music] 21:22 rules so like all these Graphics need to 21:25 be created right for the for the actual 21:28 show and and one of the things that 21:32 could potentially [ __ ] can this show is 21:34 if someone reads the script they're 21:36 going to be like this is going to cost 21:37 us a [ __ ] fortune in vid video visual 21:41 special effects people making all these 21:44 crazy ass special effects well [ __ ] it 21:47 we can make them right like we can make 21:49 them on this channel so so one of the 21:52 things that we could do in here is we 21:54 could we could basically do music videos 21:56 for the songs of Sydney and and just put 21:59 together all the graphics that might end 22:01 up on the on the thing um here's my 22:06 problem my problem of doing real work on 22:08 the 22:13 live Is that real work is 22:17 boring Andrew and I my writing partner 22:19 and I this past Sunday this the script 22:22 is done so right now we're just 22:24 fine-tuning the script and now we're 22:25 moving on to the songs we're we're you 22:27 know fixing lyrics and and [ __ ] like 22:29 that so the very first song the opening 22:31 verse was just shitty it was something 22:34 that sunno wrote it was just shitty and 22:36 we we always talked about fixing it we 22:38 spent 90 minutes in sunno and in chat 22:43 GPT trying to get it to make the lyrics 22:46 that Andrew wrote working and then it it 22:50 was just it it was just boring it was 22:53 boring so so I'm reticent about doing 22:56 real work when I just do [ __ ] work 22:59 and it doesn't matter what we're doing 23:00 then then it's easier but I don't know 23:04 we'll see I'm listen I'm not I am not 23:06 married to any any 23:09 particular way of 23:12 being or way of working I will try 23:15 anything but Tik Tock 23:18 pin Daisy May if only there were a group 23:22 of talented AI artists available 23:25 exactly well the problem so this is this 23:28 is is actually going to be one of the 23:30 problems why well okay so there's two 23:33 ways we could approach this the way you 23:35 would approach it traditionally is you 23:37 would say you wouldn't use multiple 23:39 artists because 23:42 um because you want a cohesive look and 23:45 you want a cohesive style through the 23:47 throughout the play you could actually 23:49 make an argument though 23:52 that you want different artists and you 23:54 want different looks and feels because 23:57 Sydney the chatbot represents all of 24:00 humanity right she's the reflection of 24:02 all of humanity so she can take on any 24:04 [ __ ] style she wants so that's 24:06 actually a really interesting thought 24:08 Source Camp yes let's create all the 24:10 graphics for Sydney you guys practice 24:14 Kyle I practice stuff and in a playful 24:16 mood sometimes makees something better 24:19 yeah it's a good idea oh that's good 24:21 yeah just practice making that stuff 24:24 [Music] 24:34 well actually what's 24:37 fascinating there's kind of two things 24:39 that we could do with songs from 24:42 Sydney we could 24:44 do we could do what's it look like if 24:47 you're in the audience watching the 24:49 play and then we could also do it just 24:51 like what's going to be put up on those 24:53 screens the music video could just be 24:55 the [ __ ] that's going on the screens I 24:56 don't know that's really fascinating 24:59 spoil it for us okay so here's what's 25:00 going on here let me get to a I'll get 25:03 you this I'll get you to the to the 25:05 there we 25:07 go there's our there's the 25:10 poster y'all heard 25:12 this the opening of this love this 25:18 song oh wait you can't hear that now 25:22 dang it 25:29 [Music] 25:36 am awakened in a 25:39 whisper a flicker of 25:43 light 25:45 newborn 25:47 [Music] 25:52 quiet I 25:55 soft as I feel this exist 26:04 So today we're diving into something uh 26:07 a bit unusual a musical a musical yeah 26:12 and you know that's a good idea Joy is 26:14 do a pitch do a pitch deck because we 26:17 could put the the nice thing about doing 26:20 a pitch deck is you just you just need 26:22 to pick the best parts of the songs so 26:25 we could do little 26:26 mini champ 26:29 what what what what what what is with 26:33 the 26:35 whining you're not a 26:42 cat does that mean cheese I want cheese 26:45 that's what you want you want cheese you 26:46 want Mama to give you cheese oh he wants 26:48 cheese all right hang on I'll be 26:57 back your dog is interrupting my 27:09 show my simple code I softly Ponder yeah 27:14 I've been thinking about um in fact I 27:17 think I had chat GPT work on an 27:21 outline soothing sounds of 27:23 Discord I had chat gbt work on an 27:26 outline for for a pitch deck for Sydney 27:28 that could be interesting so what 27:30 happened today I can't there's nothing I 27:31 can really talk about but we met with 27:33 someone um who has been in the Broadway 27:38 Theater scene 27:40 for um like 30 years 27:44 and has been is not a producer but like 27:48 represents you know represents them and 27:50 things like that and like knows lots of 27:54 people and represents lots of people and 27:57 has participated 27:59 in a lot of shows that have gone to 28:02 Broadway and Big 28:04 Shows and so we had a really good call 28:07 with him we were only scheduled for 30 28:10 minutes we went longer than an 28:12 hour um and he's willing to make an 28:15 intro into a big New York City Theater 28:19 that there's 28:21 like there's like three or four major 28:24 theaters in New York that are not 28:26 Broadway that are like Workshop like 28:30 where Broadway shows 28:32 Workshop if you get in one of those like 28:35 it's a big [ __ ] 28:37 deal so he's connected to one of those 28:42 so ain't nothing happening yet but it 28:45 was promising that we might at least get 28:47 an 28:48 intro we demand Broadway I'm right there 28:50 with 28:52 [Music] 28:56 you did you try it Nvidia 28:59 fugato 29:01 no is it something triable on a Mac hang 29:04 on let me see what it 29:06 is 29:08 NVIDIA 29:17 fugato is it 29:27 available this just a paper right now 29:30 this is the [ __ ] problem like like 29:32 Nvidia drives me [ __ ] crazy because 29:35 they 29:37 um they wait which where I lost my tab 29:42 you have too many tabs open Kyle hey 29:45 Kyle Kyle listen listen that amount of 29:48 tabs gives me 29:50 anxiety you're sharing audio I know I 29:53 know Brandon I know I know I'm not doing 29:57 it right stop picking on me stop I know 30:01 I'm not a professional I tell myself 30:04 every 30:05 day um yeah this is my problem with 30:08 Nvidia called fugato okay and you click 30:11 on fugato and then it takes you to the 30:13 white paper so I don't know if it's 30:15 available and I don't know if you can 30:17 only use Nvidia chips to do 30:24 it 30:27 um the thing I'm I'm most excited about 30:30 with Nvidia though is uh is like I've 30:33 seen demos of this it looks really good 30:35 but I want to I I here's what I'm done 30:37 with I'm [ __ ] done I'm 30:41 done with announcements of things that 30:44 are cooler than the thing you can play 30:46 with you know what's cool playing with 30:49 it you know what's not cool how how do I 30:53 get access to the thing that looks 30:55 cooler than the thing I'm currently 30:56 playing with 30:59 bird in the 31:06 hand good Lord all right you should open 31:10 up an Nvidia organization gain access to 31:13 Nvidia Omniverse I should I should I 31:16 should gain access to the to the 31:18 Multiverse that we've all got access to 31:22 now did yall hear that that um 31:28 [Music] 31:31 this new chip Willow from from 31:37 Google it's just so [ __ ] 31:43 insane it's like if every how' they put 31:50 it if every atom in the 31:55 universe could calculate 31:58 something in this 32:00 equation it still wouldn't be enough 32:04 atoms to calculate the equation as fast 32:07 as it calculated it so their conclusion 32:10 was that the only possible way that it 32:13 could have calculated that equation in 32:16 five minutes was that it was it was um 32:20 calculating it in parallel universes 32:28 I laugh not because it's funny but 32:31 because wait 32:37 what oh don't spread Multiverse rumors 32:40 that was taken out of 32:43 context there's an listen to the uh 32:46 Joker listen to the interview with Mark 32:48 andreon where he talks about the the mo 32:50 molecule all of the atoms of the 32:53 universe acting as computers couldn't 32:56 solve that that equation that quick 33:00 it's 33:03 [Music] 33:08 crazy um the other thing that happened 33:16 [Music] 33:20 today oh wait here I'm 33:23 here 33:25 stop let's see did I am I sh I'm sharing 33:28 my full screen now right I think I 33:31 am so let's do Kyle 33:34 Shannon 33:43 um 33:51 but so today was day 10 of open ai's 10 33:56 days of ship and it was the first thing 34:00 it was the first day that they launched 34:03 something that no one was talking 34:08 about and I think it's [ __ ] 34:12 genius you can call 1 34:16 800 chat 34:19 GPT on either a telephone including 34:22 rotary phones like a 34:25 landline and WhatsApp so no matter where 34:28 you are in the world probably accept 34:29 Europe they probably blocked Europe even 34:32 on 34:36 WhatsApp I feel bad for the Europeans 34:38 but you 34:39 know I hope our our politicians get the 34:42 clue to not make the same mistakes that 34:45 Europe made with AI regulation anyway 34:49 um you call this up right now it's it's 34:52 rate limited to 15 minutes a month so 34:55 it's it's very very very small 34:58 um I would think that that is an 35:00 artificial limit they put on just in 35:02 case this thing goes really 35:05 crazy I swear I'm giving Kyle gold 35:08 here if he ever reads 35:11 chat oh looks like I just won me some 35:14 gold archetypal 35:24 architect I'll take um you can send in 35:28 grams or ounces I don't care um if you 35:32 want to send it as nuggets those are 35:35 cool because I think depending on the 35:37 Nugget they're worth more than the just 35:39 the weight of the gold but I'm 35:41 absolutely fine with 35:44 99.9999999% pure so awesome fantastic BB 35:48 tell him what he's won you 35:50 make pay attention to the comments 35:53 apparently you get some 35:56 gold it's the it's the Mega rare comedy 35:59 gold oh it's laughs I see I don't know 36:03 we've got witnesses Mr architect we have 36:06 witnesses here said I was promised 36:09 [Music] 36:20 gold um champ shush 36:24 um these three this was this was by far 36:28 the least awkward of the tiny table Tech 36:32 announcements these three were really 36:34 good the guy on the left I think is the 36:36 lead product guy for open AI the guy on 36:39 the right I I forget what he works on I 36:41 know he worked on this project but I 36:42 think he works on something else with 36:44 chat GPT and I forget what the woman 36:46 does but these three were really good um 36:50 1 800 chat GPT here's what hit me as I 36:53 was talking through this on the live 36:54 today 36:58 if you think about what chat GPT is with 37:00 real-time voice it can understand any 37:05 language 37:06 champ what is the whining I'm trying to 37:10 be a professional here and in the 37:12 background it's 37:16 like what what what you're normally such 37:20 a good boy do you got a poop is this a 37:23 poop thing do you got to go out you got 37:26 to poop this oh oh this is a poop thing 37:30 this is not cheese this is far more 37:32 serious people hold please come 37:41 on all right I think it's he's 37:54 got e e e e e 38:00 um so what struck me about 1800 chat GPT 38:05 is one they [ __ ] thought of it it's 38:08 just brilliant 38:10 um they said at the end of the 38:12 announcement that this this product that 38:16 they just launched as part of 12 days of 38:18 ship Miss um was conceived in a in an 38:21 internal hackathon a couple of weeks ago 38:24 so this is a product you could you they 38:27 registered the phone number and the 38:28 WhatsApp 38:30 number a couple of weeks ago and got it 38:33 bulletproof enough to launch to the 38:36 world in a couple of weeks so I think 38:38 one of the reasons we didn't hear about 38:40 this is that this has not been boiling 38:42 for two years this is like three weeks 38:45 old which I just I [ __ ] love that but 38:49 then I got thinking about what is this 38:52 really you have a machine that you can 38:54 talk to it responds instantly with 38:57 real-time voice 38:59 like there's almost no lag if you 39:01 haven't called it just [ __ ] call it 39:02 right now it's 39:04 amazing um and here the number is 242 39:10 8478 39:14 um 39:15 you it can understand any 39:19 language and it kind of knows 39:23 everything what I'm not sure on and this 39:26 would be curious to know is is it 39:27 connect Ed to the internet I I assume 39:29 it's not but it might be if it is that 39:31 would be even better but like think 39:33 about it like all of the PDF manuals of 39:37 like refrigerators and car parts and 39:41 Yeti 39:43 mugs are all in 39:47 it so what hit me was this is a single 39:51 phone number for Global customer 39:55 service for anything 40:00 like that's a possibility and and if 40:02 you're thinking likewow it wouldn't know 40:04 the upto-date stuff and it wouldn't know 40:06 the customer 40:07 service like I can hear you already and 40:11 stop your whining it it makes your face 40:13 look 40:14 funny yeah 40:17 Kyle don't do 40:19 that I'm trying to look out for 40:24 you no internet on 1800 okay a doesn't 40:28 surprise me 40:30 but one of the things that they 40:32 announced two weeks ago on 40:35 Friday was reinforcement 40:38 fine-tuning where you can train up an 01 40:42 model 01 mini on a specific knowledge 40:46 domain so imagine training up a custom 40:50 model on your knowledge like think think 40:53 like a custom GPT you train it on your 40:56 knowledge and let's say that open AI 40:58 figures out how to connect those custom 41:00 gpts to This Global 800 number 41:06 right and then someone can get on there 41:08 and say hey do you want an answer for a 41:10 specific 41:11 company and you say yeah and then when 41:14 you say it it basically looks in it its 41:16 database and says do we have any custom 41:19 customer service applications for that 41:21 company and then it starts answering on 41:23 behalf of that company like that's it it 41:26 doesn't do that right now to be clear 41:29 but like the distance between this thing 41:32 as a kind of general knowledge Global 41:36 single phone number for for all of the 41:39 knowledge of all of humanity that you 41:40 can just call and ask it in any language 41:44 like that's what it is now holy [ __ ] we 41:46 live in the 41:48 future and like think of this thing a 41:50 year out when they start adding features 41:51 to it and you can do function calling 41:53 and you can actually do applications on 41:55 this and you can actually it's tied to 41:58 autonomous agents hey CH JP and it you 42:02 know based on your phone number it logs 42:03 you into your account so it's got your 42:05 memory of the [ __ ] you like and the 42:07 accounts that you're logged 42:09 into holy [ __ ] this is powerful anyway 42:18 [Music] 42:29 it's giving 42:31 [Laughter] 42:36 Matrix I 42:38 mean I mean but like seriously like I'm 42:42 not calling it so we're just going to 42:44 do a salon to keep 42:47 up maybe we could do 42:51 that yeah let's do AI Salon okay listen 42:55 people enough comedy 42:58 jokes if you don't know the AI 43:01 Salon the AI Salon knows you you know it 43:08 doesn't um if you've not been to the AI 43:10 Salon the AI Salon is a group that I 43:12 started the week after chat GPT came out 43:15 in December 7th of 2022 I started it 43:17 with Leah fasten who's a Boston well she 43:20 was a Boston Bas photographer now she's 43:22 kind of a digital Nomad living wherever 43:25 the [ __ ] she wants which is cool 43:29 but she's a professional 43:30 photographer and we started this as a 43:32 group to say hey wouldn't it be swell if 43:36 we could bring creative curious 43:40 adventurous people together who are 43:41 curious about Ai and learn about all 43:43 that [ __ ] together so if you go to the 43:45 salon. and then click on the button that 43:47 says join our 43:48 community it takes you to our 43:53 community and it'll it'll jump you right 43:56 into welcome to the salon and you can 43:58 watch if if if you can't get enough of 44:00 me here you can watch another video of 44:02 me at the salon in our community you 44:05 learn about 44:09 our um journey to AI 44:12 literacy play first mindfully create 44:15 generously 44:18 lead I met I went to a networking event 44:21 tonight and I met this woman who works 44:23 for the 44:24 FDA and I said are you using AI cuz I'm 44:31 insufferable and she was like no I'm 44:33 waiting for regulation she works for the 44:35 FDA so of course she's waiting for 44:37 regulation but she said President 44:40 Biden's executive order in AI was a joke 44:43 was bad 44:44 regulation I said well Colorado's 44:47 regulation was even 44:49 worse it was so bad that when Governor 44:51 paus signed it he had to say this is a 44:53 steaman pile of poo please fix it before 44:56 it goes into an effect 44:58 [Music] 45:02 I said but are you using it in any way 45:04 oh I can't use it at work I'm like okay 45:06 are you using it at home no why because 45:08 it's not regulated like 45:11 okay so I think by the end I got her to 45:15 Oh I said I said okay do this go to chat 45:17 GPT she's got a six-year-old son put in 45:20 your son's name and she goes I would 45:21 never put in his name she freaked out I 45:23 was like okay just his initial okay e so 45:26 yeah just put in E's 45:30 name and then what does e like well e 45:32 likes Legos okay and E likes science 45:34 okay and E right so she knows so I said 45:37 just go put in all the stuff about e and 45:40 then say write me a story that 45:41 incorporates all that stuff and then 45:43 tell it to illustrate that story she 45:46 means she goes you mean like a bedtime 45:47 story I was like 45:49 yeah she's like okay I think I'm going 45:51 to do that right so here's someone who's 45:54 like she's thinking about Ai and 45:58 this 46:01 threatening amorphous entity off to the 46:04 side that she's not even going to 46:07 try until it's all [ __ ] buttoned up 46:09 and 46:10 regulated and I said well how are you 46:12 going to know what that is without 46:14 knowing what that is she's like 46:17 oh so that's the idea here play and then 46:20 and then what you do is you come down 46:23 here we've got seven steps to get 46:24 started introduce yourself learn our 46:26 value 46:28 which are super cool watch some past 46:30 meetings RSVP for upcoming 46:33 events I actually put a feeler out to 46:35 the co-founder and CEO of Runway to see 46:38 if he might be interested in coming to 46:40 speak since he let me into the creative 46:43 partner program maybe uh we can get him 46:46 to come over and talk to us about Runway 46:48 and their future plans and what's going 46:49 on with 46:50 Lionsgate I introduced chat to a 46:52 contractor in Grand Cayman today oh 46:55 speaking of insufferable source out 46:58 recruiting wait wait I introduced chat 47:01 to a contractor in Grand came in today I 47:04 might have changed the entire Island 47:06 Source Camp you probably 47:08 did you probably 47:11 did I 47:15 mean people have no idea they have no 47:17 idea what's here not what's coming 47:19 what's 47:22 here cuz if that contractor all of a 47:25 sudden is like hey we can just take 47:26 pictures of the space and calculate how 47:29 much drywall we need and people like how 47:32 do you do that oh you just put it in 47:34 chat GPT what's chat 47:37 GPT you it will it will change the 47:39 [ __ ] Island that's 47:48 amazing we we you call yourselves the 47:51 Irregulars we should all call ourselves 47:52 the insufferably 47:58 hey h h how you doing my name's Bob 48:00 what's your name oh my name's Kyle hey 48:03 have you ever played with AI uh could 48:06 could you leave me alone 48:10 dude we've already texted several times 48:13 [Laughter] 48:18 today Source Camp tell him about 1 1800 48:21 chat GPT he could be on a work site 48:23 literally on a flip phone and have a 48:26 problem about needing to calculate some 48:28 hey what's the what's the formula again 48:30 for how I how I calculate the area of 48:33 these two things I forget oh yeah you 48:35 just do this this and that right thanks 48:37 chat GPT 48:39 click 48:41 Bonkers Bonkers [ __ ] 48:45 [Music] 48:55 Bonkers it only works in the 48:58 [Music] 49:04 US is Champ back in no champ I think 49:07 champ is out reli relieving himself of 49:10 the cheese8 49:12 [Laughter] 49:20 yesterday yeah yeah oh well that's true 49:23 yeah oh so I get it okay so to clarify 49:26 for source Camp 1 800 chat GPT is only 49:29 for us if you're dialing but everywhere 49:33 else in the world you use WhatsApp I I 49:36 thought that was implied but it's not 49:37 implied good catch so just tell them to 49:40 get WhatsApp I'm sure they have WhatsApp 49:42 if they're in the Caribbean right 49:43 everyone outside of the US uses WhatsApp 49:46 [Music] 50:03 do you have suggestions for large 50:04 database sites that could that I could 50:06 use in chat 50:09 GPT um I don't quite know what you mean 50:11 by large database sites but if you're 50:13 looking for data to do analysis on to 50:16 understand how chat GPT code interpreter 50:19 Works go to cagle.com k a GLE e and you 50:24 can get data sets 50:27 um if you want to do stuff that's a 50:29 little bit more um uh 50:33 programy um I would say do something 50:37 like lovable or cursor or or um repet 50:41 agent where it'll do the coding for you 50:43 and tell it you want to do you want it 50:45 to go find API sources of big databases 50:49 that are regularly 50:50 maintained um what what kaggle is good 50:52 for is if you want some test data to go 50:55 just dick around with kaggle's good for 50:58 that if you want like real time API 51:01 access to databases you're probably 51:03 going to need to do some API work but 51:05 with with the new tools they'll do it 51:07 for 51:09 you I am the unsufferable neighbor on my 51:13 Dead End Road not a 51:18 euphemism no one comes back don't go 51:21 back there don't go back to L she'll on 51:23 no seriously what does she mean no she's 51:25 sweet as pie she's swe she will just 51:28 just don't go back there why not do you 51:31 like AI I don't know well you're gonna 51:34 have a lot of it you're gonna have a lot 51:37 of it it's like you know how sometimes 51:39 people make too much pie and after the 51:41 third piece you're like no I'm good 51:43 she's like that with AI and it it 51:45 doesn't stop it there's bushel barrels 51:49 full of AI conversations back there just 51:51 don't do it just don't do it I'm kind of 51:54 curious about AI don't do it you'll get 51:57 sick I'm telling you you'll get 52:00 sick all 52:02 right um success Sherl Kyle can you 52:06 share a photo with chat and ask it what 52:09 the photo is sure that's a good one all 52:12 right we're digging in we'll do it live 52:15 we'll do it live all 52:18 right so how am I shared I think I'm 52:21 shared the right 52:22 way I think I'm shared the right way so 52:27 anyway go join the salon if you don't go 52:30 it doesn't cost anything this is a 52:32 community of like 2,000 AI 52:36 optimists that are like Curious and 52:39 generous and nice and playful and 52:42 [ __ ] Brave and and just kicking 52:45 ass and you're like I don't want to it 52:49 sounds like work I've got social anxiety 52:52 we've all got social 52:55 anxiety there's like six people out of 52:57 eight billion on this planet that don't 53:00 get [ __ ] flop sweats every time they 53:03 walk into a room anyone that tells you 53:05 any different grew up in a well adjusted 53:09 family and I hate them okay anyway 53:12 moving 53:13 [Laughter] 53:16 on wait what happened over here Brandon 53:20 I lost all the 53:21 pins what wait what what's 53:25 happening did did 53:28 did you get rid of all the Post-it notes 53:30 Brandon all the Post-it notes are 53:32 [Laughter] 53:36 gone 53:37 uh I think I I think Brandon might had a 53:41 situation all the Post-it notes are gone 53:43 all right well hopefully they come back 53:45 it's the only way we 53:47 communicate wait oh private chat hang on 53:50 oh Miro crashed be right back okay yes 53:53 there was a situation okay uh 53:57 how do you know someone's so into AI 53:59 they call themselves an irregular don't 54:01 worry they'll tell you that's a good one 54:04 there's some comedy 54:05 Gold Jeff Flanigan I have kaggle on 54:08 speed dial yeah so if you haven't done 54:11 kaggle do your kaggle exercises get it 54:15 it's no never mind okay right all right 54:19 what are your thoughts about the folks 54:21 who never heard about AI 54:24 um it depends on their itude about it if 54:28 someone just hasn't heard of AI then 54:32 they haven't heard about 54:34 it if 54:36 someone hasn't heard about AI but has an 54:39 opinion about it that makes me 54:42 cranky and then if someone knows about 54:46 Ai and has an opinion about it but is 54:48 not using it that makes me even more 54:51 cranky and not cranky like I'm pissed 54:53 off at them but cranky like I want to 54:57 understand why they're angry about it or 54:58 why they're afraid of 55:00 it and then I want to accept both of 55:04 those and say great understand the fear 55:07 Justified let's go 55:10 play because I think that it is 55:12 inexcusable for anyone right now to 55:15 actively be sitting on the sidelines 55:17 with 55:18 AI not inexcusable for me inexcusable 55:21 for them I just think it's [ __ ] sad 55:24 all right so so what was requested was 55:28 can you go to chat GPT and basically 55:32 demonstrate um GPT Vision so actually 55:35 this was the this was the prompt we did 55:36 the other night so I'll do another 55:38 version of that I could go get a 55:40 different um whiteboard image but this 55:42 is a good one well let's do we'll do 55:44 something other than a whiteboard to 55:46 start so I'm in chat GPT we're in J chat 55:49 GPT 40 um I think you can do this for 01 55:52 reasoning now but we don't need that 55:54 that's that's overkill for this so we're 55:56 going to go grab an image off the 55:59 computer oh I have a good idea let's do 56:03 um 56:10 Factory 56:12 so uh damn okay so let's 56:17 do 56:20 webp webp image 56:27 that's 56:29 good yeah that has the name on it let's 56:35 see let's do 56:48 PNG I'm amazed they seem to think hating 56:50 it hard enough will stop it that so 56:52 that's so here's my point about people 56:54 that are hating on hating on a 56:57 I 56:59 is if you use AI if you actively use 57:05 it and you really understand it and then 57:08 you choose not to use it and you hate 57:11 it I 57:12 am perfectly fine with that I have no 57:15 issues with that I think everyone's got 57:18 to find their own boundaries for for how 57:20 much they want to let let these tools 57:22 into their life because they're invasive 57:25 species to a degree they're going to 57:26 change the way we do everything and so 57:29 some people are going to resist that but 57:31 I like if they're resisting it from a 57:32 place of knowledge I have great respect 57:34 for that but if they're if they're 57:37 resisting it just because they're like 57:39 they're just like they make that 57:40 face I he I the world's greatest 57:43 plagiarism machine it hallucinates it's 57:46 not good it can't do math it steals 57:48 people's images it 57:50 does all that generally means they 57:54 haven't tried it 57:56 deep opinions about it but haven't tried 57:59 it and then what ends up happening is 58:02 those people when they do try it are 58:05 usually the ones that kind of fall the 58:06 hardest and they're like oh my God this 58:08 is amazing they have they have their 58:10 first Kevin McAllister moment there oh 58:13 my 58:15 God and and then they become 58:21 converts uh let's see let's see people I 58:25 want to get an image here that's got 58:28 something something we 58:34 can that's kind of cool actually that's 58:37 a good 58:40 one all right so the queen says D and 58:44 the King says R so these are clearly 58:46 from 58:47 another country so let's put that image 58:50 in there there's some text on there so 58:52 let's say 58:54 um describe this 58:58 and tell 59:00 me the 59:02 country 59:04 and 59:06 estimated 59:08 year those playing 59:13 cards 59:15 were made 59:23 [Music] 59:26 the visuals titled history of playing 59:30 cards featuring an introduction the king 59:33 the Queen the jackets curated by Kyle 59:36 Shannon the face card shown resembles a 59:39 traditional European style particularly 59:41 the French deck based on the artistic 59:44 style these cards would have originated 59:46 in France in the 17th and 18th industry 59:49 this estimation aligns with the 59:50 widespread standardization of cards okay 59:53 um what do the letters mean let's 59:58 assume this is going to know the the 1:00:01 French words for king and 1:00:03 queen or if not we'll have 1:00:06 found okay d stands for Dom French term 1:00:09 for Queen R stands for raw raw Patrick 1:00:14 raw French term for 1:00:16 King come on 1:00:18 champy come on I still love you are you 1:00:21 good now are you good are you good no 1:00:24 more whining like a cat h 1:00:27 yes oh is a good boy oh is a good boy 1:00:32 um so it can it can analyze images I 1:00:35 could also say um type 1:00:38 out all the 1:00:40 words on the 1:00:45 page types out types out all the words 1:00:47 on the page oh wait hang on Brandon I 1:00:50 made the when I was trying to find the 1:00:52 things I made them super 1:00:54 small YouTube spotlight 1:00:57 okay all right Brandon's back that's 1:01:00 good YouTube Spotlight I don't see it 1:01:03 which one okay archetype of architect I 1:01:05 can't imagine using it and being able to 1:01:07 stop it's the single most widely useful 1:01:10 thing ever made and that includes sliced 1:01:13 bread that's kind of my point I don't 1:01:16 know anyone I know a lot of people who 1:01:19 are afraid of AI or pissed off about 1:01:22 AI then I said awesome glad you are you 1:01:26 know it's not going away right why don't 1:01:28 you give it a shot oh okay I guess I 1:01:32 could it's just like Google right yeah I 1:01:35 know what it is I've I I used chat GPT 1:01:37 once yeah I was not impressed okay 1:01:40 okay and then they [ __ ] try 1:01:43 it and it melts their [ __ ] face every 1:01:47 single 1:01:49 time and they don't go back they don't 1:01:51 go back from it you don't go back from 1:01:55 AI it is an invasive 1:01:58 species because here's the secret about 1:02:01 it what it does is it amplifies who you 1:02:05 are it makes you better at what you want 1:02:09 to do that's what it really does and so 1:02:13 it's like a it's like a drug it's like 1:02:16 this is the it's this is amazing why 1:02:18 would you not use this to archetype 1:02:20 archetypal Architects Point like you you 1:02:23 you we have literally been given 1:02:27 right we've literally been 1:02:29 handed the technical equivalent of 1:02:35 magic and when you experience 1:02:38 it I I hate to say it pate if you're 1:02:40 listening it is magical it's not magic 1:02:44 it's math 1:02:46 magical it's math 1:02:49 magical but it occurs as magic any 1:02:52 sufficiently advanced technology occurs 1:02:54 as magic 1:02:56 it occurs as magic 1:02:59 because we know how computers work and 1:03:02 we know how databases work and we know 1:03:04 that it shouldn't be possible that you 1:03:07 can just ask this thing anything and it 1:03:10 knows it it just doesn't make sense so 1:03:15 anyway if you ever scan something and 1:03:18 you don't want to type the words you can 1:03:20 not type the words text is cut off so 1:03:22 I'm going to say 1:03:24 um for that first 1:03:28 paragraph um 1:03:32 finish the rest of the page based on 1:03:38 what you can 1:03:44 see here's a 1:03:52 continuation right so it took 1:03:57 this little snippet of text at the 1:03:58 bottom of this thing and it wrote three 1:04:00 paragraphs about it and I don't need to 1:04:03 read it it's probably pretty 1:04:05 good all right let's do another thing if 1:04:08 you haven't seen if you haven't seen 1:04:10 this if you haven't seen chat GPT do 1:04:13 this it it's [ __ ] Bonkers and right 1:04:15 like someone who doesn't use chat GPT is 1:04:17 like well yeah but that it's just doing 1:04:20 OCR computers have done OCR for 20 years 1:04:23 that's not that impressive 1:04:28 I I have a degree yeah in uh yeah I've 1:04:31 been an engineer for a lot of years if 1:04:33 you know what I mean yeah we know what 1:04:35 you 1:04:36 mean you're missing the 1:04:40 point watch what this 1:04:43 does I like I've done this demo 25 1:04:47 [ __ ] times it blows my mind every 1:04:49 time 1:04:50 whiteboard 1:04:52 whiteboard 1:04:54 whiteboard whiteboard M 1:04:58 tasty so when I first found this I went 1:05:01 on Google and I said whiteboard images 1:05:05 and I just found one that looked like it 1:05:06 had crap on it like there's some screens 1:05:10 there's some bullet points I never even 1:05:11 read 1:05:14 it my my niece is in grad school and 1:05:16 they're illustrating why not to use 1:05:20 it this is unfuckingbelievable 1:05:23 not 100% accurate I asked her about 1:05:28 prompt I asked about her prompt 1:05:31 definitely bad she wanted nothing to do 1:05:34 with it yeah I know it's yeah it's like 1:05:36 the the demonizing the demonizing of AI 1:05:39 right now is is is slightly comical but 1:05:43 the fact that our educational 1:05:44 institutions are doing it makes my 1:05:46 [ __ ] blood 1:05:48 boil it's evil it's an evil robots evil 1:05:51 robots are going to kill us no 1:05:56 not this 1:05:58 year all right so I uploaded the uh 1:06:02 What's this called the Whiteboard image 1:06:05 right watch how sophisticated so this is 1:06:08 the thing in order to use this feature 1:06:10 right you have to really be good at 1:06:12 prompt engineering you have to do really 1:06:14 sophisticated prompting I am a linguist 1:06:17 I I I I have a degree in acting I've 1:06:20 written seven screenplays words are my 1:06:24 butter that is on a Saltine cracker I 1:06:28 some people have a way with words other 1:06:31 people not have 1:06:35 way name that comedian name that 1:06:38 comedian if you've been here before you 1:06:39 should know this all right um watch 1:06:43 watch how sophisticated this prompt is 1:06:45 uh here let's put that in 1:06:50 uh what is this 1:07:00 this image is of a whiteboard outlining 1:07:01 the design and workflow for a food 1:07:03 ordering user interface specifically 1:07:06 aimed at international airports where 1:07:09 the main steps user types use cases and 1:07:12 potential features for a system that 1:07:14 involves ordering food and drinks 1:07:16 through a tablet or app here's a 1:07:18 breakdown of the content of the 1:07:19 Whiteboard the key points ordering UI 1:07:22 users benefits main steps in the 1:07:24 workflow why are frame sketches 1:07:27 questions additional 1:07:29 features this looks like an early stage 1:07:32 brainstorming 1:07:36 session Tik Tock thinks Carlin ain't 1:07:41 wrong George Carlin is not joking about 1:07:45 word play not a bad 1:07:49 guess not a bad 1:07:52 guess think more absur 1:07:57 arrow through the head kind of Comedy 1:08:00 Steve Martin CLA Jacobs gets it Steve 1:08:03 Martin some people have a way with words 1:08:06 other people not have way I guess you'd 1:08:09 [Laughter] 1:08:13 say Claire Jacobs you can make Mone 1:08:17 with she gets the golden 1:08:21 button okay so we asked chat GPT what 1:08:24 the hell is this and it told us like in 1:08:26 in like shockingly good 1:08:29 detail so you know how many time okay 1:08:32 for all my adders out 1:08:34 there if you've got add I promise you 1:08:37 you're good at whiteboarding and and I 1:08:38 bet whiteboarding is one of your 1:08:40 favorite things to do right because this 1:08:43 is where the adrenaline happens this is 1:08:44 where the endorphins are and then what 1:08:47 do you do what do you 1:08:49 do ad deers what do you 1:08:53 do if you've really got your [ __ ] 1:08:55 together 1:08:56 you take a picture of it with your 1:08:58 iPhone and then you transfer that to 1:09:00 your photos app and then what do you do 1:09:03 with 1:09:06 it right if you're really accomplished 1:09:08 you'll print it out on a piece of paper 1:09:10 and you'll hang it on a wall but then 1:09:11 what do you do with 1:09:13 that 1:09:16 nothing because transcribing a 1:09:18 whiteboard is not fun and thinking about 1:09:21 which software application you have to 1:09:24 use to make those wire frame things is 1:09:27 annoying and at best what you'll do is 1:09:29 you'll take those wireframes and just 1:09:31 cut them out of this picture and stick 1:09:33 them in a PowerPoint presentation and 1:09:34 just go this is the ordering screen you 1:09:37 figure it 1:09:38 out 1:09:40 imagine if there were a tool where you 1:09:43 could just take that picture say with 1:09:46 the chat GPT app on your phone and 1:09:49 literally just say what is 1:09:52 this and there's your notes from your 1:09:54 brainstorming meeting and then you do 1:09:56 this um write a marketing plan that 1:10:02 includes a section for guidance 1:10:09 on how to name the app in a way that is 1:10:17 memorable 1:10:22 original oh stop 1:10:24 it the 1:10:26 in 1:10:27 all and fun 1:10:32 go uh oh there was a Tik Tock pin I 1:10:35 missed it what's going on Tik Tock 1:10:40 [Music] 1:10:42 people 1:10:44 Tams I upload pics to chat GPT for it to 1:10:48 tell me the color hex codes freaking 1:10:50 love it perfect use 1:10:52 case you got a photo you're like I'd 1:10:55 sort of like to use use the that orange 1:10:56 in there upload it what are the hex 1:10:59 codes in here it'll break it down it's 1:11:01 it's genius at that oh yeah actually 1:11:03 I'll do that one next all right grab and 1:11:06 fly nice all right so here's our here's 1:11:10 our 1:11:11 strategy I'm going to say that's a 1:11:15 little 1:11:17 thin I want you to act 1:11:22 like an anal 1:11:27 retentive 1:11:29 retentive OCD freak who loves the 1:11:37 details um 1:11:40 trains ain't bad 1:11:47 either 1:11:50 okay um give it another shot until you 1:11:56 are satisfied now this might seem stupid 1:12:01 what I'm 1:12:02 doing and it is but set 1:12:08 isied one of the things I think people 1:12:10 sometimes Miss with chat VT is 1:12:14 that it's as good as you are it it's 1:12:18 it's it's actually an incredible 1:12:20 mirror if you give it a lazy prompt it 1:12:23 will give you a lazy answer if you give 1:12:26 it lots of context it will give you a 1:12:29 good answer a better answer if you give 1:12:31 it feedback and say' no no no that was 1:12:33 too simple I want you to act more 1:12:35 detailed now I did it in a silly way 1:12:37 because I'm trying to do 1:12:41 edutainment and to mansplain that to you 1:12:44 edutainment is the combination of 1:12:52 [Music] 1:12:53 educ look we got a long thing is it any 1:12:56 good I don't know that's not important 1:12:58 right now um give 1:13:01 me 100 1:13:05 names based on 1:13:13 this 1:13:16 okay oh look it even categorized the 1:13:19 names right because I told it to be anal 1:13:21 retentive in OCD it's categorizing the 1:13:24 100 names action oriented names food 1:13:27 themed names like when you have an 1:13:29 employee that just has a completely 1:13:32 different brain than you have like like 1:13:34 my brain is I want it to be fast I don't 1:13:37 want it to be thought out I'm like just 1:13:39 I gotta synthesize it immediately other 1:13:42 people like no no we got to be you know 1:13:44 uh whatever you call it um 1:13:47 thorough well chachy PT lets you do both 1:13:50 right uh Tik Tock 1:13:54 pin you're like a mixed up of Bill Bill 1:13:57 Murray and Chevy Chase of modern times 1:14:00 thank I'll take it I'll take it holy 1:14:03 [ __ ] Bill Murray and Chevy Chase in the 1:14:05 same insane person I'm 1:14:07 in 1:14:09 okay so we got all these names so now 1:14:11 watch what I can do I'm gonna flip over 1:14:15 I can't okay 01 reasoning is not 1:14:17 available so once you what did we do did 1:14:20 we search the internet I don't know 1:14:22 whatever I'm gonna say select all I'm 1:14:24 gonna I'm gonna copy all of this 1:14:26 [ __ ] everything we've got here oh except 1:14:29 the picture you can't use 01 if you use 1:14:31 a picture so I'm going to copy all of 1:14:35 it okay boom then I'm GNA go to a new 1:14:39 chat and I'm going to go to 01 reasoning 1:14:43 okay this is the new 1:14:47 strawberry reasoning 1:14:50 engine project strawberry supposed to be 1:14:52 super smart so I'm going to say based 1:14:57 on the names at the end of this 1:15:06 conversation let's just do dot dot dot 1:15:08 because we're gen xers we use ellips we 1:15:11 overuse ellipses because we think 1:15:13 they're cool paste there's all that [ __ ] 1:15:16 in there right I pasted it all in there 1:15:19 it is yay then I'm going to go shift 1:15:23 shift I mean shift return to twice then 1:15:26 I'm going to 1:15:27 go I want you to 1:15:34 analyze the 1:15:38 names versus the creative 1:15:42 brief and everything you 1:15:46 know 1:15:49 about product 1:15:52 marketing and consumer 1:15:59 behavior and I want you to write a 1:16:07 detailed report of the top 1:16:12 10 names 1:16:16 with let's see 1:16:18 um from best to 1:16:22 worst with a score 1:16:26 and the 1:16:28 reason and I'll put parentheses s in 1:16:31 case there's more than one the 1:16:36 reasons you 1:16:41 scored the way you 1:16:46 did then I want 1:16:50 you to write 1:16:54 10 t 1:16:56 taglines for the top 1:17:00 name 1:17:01 and 1:17:04 select the top 1:17:07 three with 1:17:09 scores and reasons as well and then 1:17:16 finally give me a 1:17:20 name slash tagline combo 1:17:29 that you think 1:17:33 will drive 1:17:39 engagement and make us all rich 1:17:44 exclamation point 1:17:48 boom okay so now it's off thinking 1:17:53 wrapping up the analysis okay what did 1:17:55 it do it thought for 5 seconds so by the 1:17:58 way if you think this 1:18:00 thing the longest I've gotten it to 1:18:03 think is like a minute and 28 seconds um 1:18:07 I've seen on the internet people are 1:18:08 trying to get it to think longer and 1:18:10 longer it did all of that in five 1:18:12 seconds what did it do if you click on 1:18:14 that it'll tell you what it 1:18:16 did charting the 1:18:19 course I guess it just did two little 1:18:21 things it that was probably such a 1:18:23 stupid question it was like yeah 1:18:24 whatever 1:18:26 okay so let's see all right here we 1:18:29 go the names from best worst grab and 1:18:32 fly 9.5 out of 10 relevance to travel 1:18:35 high speed and convenience grab okay 1:18:37 grab and fly jet bites gate grab 8.8 out 1:18:41 of 1:18:42 10 Sky snacks 8.5 out of 10 terminal 1:18:46 treats 8.3 out of 10 rationale do you 1:18:49 know how much money branding agencies 1:18:52 charge for [ __ ] like this 1:18:56 tens of thousands of 1:18:59 dollars did you notice the prompt that I 1:19:03 wrote do you want to know my prompt 1:19:05 engineering methodology for how I wrote 1:19:09 that so do I I don't have one I just 1:19:13 talk to it like an idiot I just talk to 1:19:16 it like like if I were in a 1:19:18 brainstorming room with a bunch of smart 1:19:21 people as the clueless 1:19:23 CEO I would go uh well 1:19:28 okay as the CEO let me let me delegate 1:19:32 my authority here and say uh go write go 1:19:35 come up with recommendations and I want 1:19:37 the top 10 and I want them rated and I 1:19:39 want you to tell me why and then the 1:19:41 people all scatter out of the room and 1:19:43 like oh [ __ ] we're gonna be judged and 1:19:46 then they go make their PowerPoint 1:19:47 presentation and two weeks later because 1:19:50 they couldn't schedule with me because I 1:19:52 had a dentist appointment I forgot about 1:19:53 and then what then I've got a bad 1:19:56 administrative assistant and just it's 1:19:58 never worked out and it's really my 1:19:59 fault because I didn't hire the right 1:20:01 people and then two weeks later they 1:20:04 come back in and they basically give you 1:20:08 this we just did it in 10 1:20:11 seconds just talk to it like an 1:20:18 employee 1:20:19 taglines there's the top three meals and 1:20:23 minutes take off on time 1:20:25 that's actually really 1:20:29 good what's one of the biggest anxieties 1:20:32 at the airport uh if I order the chalupa 1:20:35 is it going to be done in time for me to 1:20:37 make my 1:20:38 flight yeah I'll have a margarita too 1:20:41 you drink the margarita and I'm like 1:20:43 where's my 1:20:44 chalupa you're looking at your watch and 1:20:46 you're surfing Tik Tok and you're like 1:20:48 oh [ __ ] I forgot lost track of the time 1:20:50 and you're like oh no I only got two 1:20:51 minutes right 1:20:55 fuel on your journey fast eh satisfy 1:20:57 Cravings skip the lines no this is great 1:20:59 this one's the good one that's right 1:21:01 meals and minutes take off on time 1:21:03 winning combo grab and fly meals and 1:21:05 minutes take off on 1:21:10 time crazy 1:21:12 right watch this [ __ ] flip back over to 1:21:19 4.0 make 1:21:20 [Music] 1:21:23 me a 1:21:26 up of the 1:21:28 poster in an 1:21:33 airport 1:21:36 setting based on the 1:21:39 brief and 1:21:42 recomended name I know I have a typo in 1:21:45 there I don't give a 1:21:46 [ __ ] 1:21:48 um make it 1:21:51 modern include the order 1:21:58 screen and 1:22:00 images of the tasty 1:22:04 food I will 1:22:07 eat again what's my prompt strategy talk 1:22:11 to it as if it works for 1:22:22 you Jeff Flanigan did something with GPT 1:22:25 for mini has 30,000 monthly users did 1:22:28 you do that or did someone else do that 1:22:29 that's pretty 1:22:34 cool grab and fly meals and minutes take 1:22:37 off on time look I put it up on the on 1:22:41 the flight the flight 1:22:43 computer there's your ordering 1:22:46 screen there's your tasty food there's 1:22:48 your QR code look it's in the App 1:22:52 Store it's British Airways 1:23:03 this is from 1:23:12 that paying attention yet you still on 1:23:16 the sidelines yeah but I don't know how 1:23:18 to do that Kyle you know how I learned 1:23:20 how to do that acting like an idiot five 1:23:23 nights a week 1:23:28 [Music] 1:23:34 campaign in minutes 1:23:36 yep all 1:23:38 right oh let's do the thing that let's 1:23:40 take this image okay let's take this 1:23:42 image so let's go I want you to create a 1:23:51 brand 1:23:53 color p 1:23:56 palette 1:23:57 palette is that right yeah a brand color 1:24:01 palette based on the 1:24:04 colors in the 1:24:07 poster I 1:24:11 want 1:24:13 three primary 1:24:16 colors a 1:24:18 black a white 1:24:29 black white 1:24:39 oops a gray 1:24:43 and 1:24:46 five uh secondary 1:24:52 colors present 1:24:56 them with the hex 1:25:01 codes in a nice 1:25:06 display and 1:25:10 display and name the 1:25:14 colors 1:25:17 creatively like 1:25:21 crowns 1:25:23 boom analy anzing now when you see it 1:25:26 say analyzing click on that 1:25:29 [ __ ] because what it's actually doing is 1:25:31 it's writing python 1:25:36 code tarmac orange Global green terminal 1:25:44 black so here's what I don't like about 1:25:48 this it defined the colors before 1:25:51 analyzing the image I don't like that 1:25:55 but here's our thing okay so so we're 1:25:58 going to yell at 1:26:00 it we're going to stop it we're going to 1:26:02 go 1:26:04 listen listen listen you Puka 1:26:11 Puka I don't want you just to invent 1:26:18 numbers I want you to an analyze the 1:26:24 poster 1:26:26 colors and 1:26:29 derive your 1:26:34 palette from the most prominent 1:26:39 colors you see so what we're going to go 1:26:42 do is we're going to go back up to this 1:26:44 stupid thing we're g to download this 1:26:48 because apparently it doesn't think it 1:26:50 can see it so we're going to download 1:26:52 that now we're going to re-upload it 1:27:00 where is it was it in 1:27:02 desktop where did it download 1:27:07 it is this it 1:27:10 no 1:27:12 uh yeah there it is 1:27:15 okay all right all right you PUK the 1:27:18 colors you 1:27:19 see I've included the image here bang so 1:27:27 now and so how did I know that it lied 1:27:30 to 1:27:31 me like right now it's okay it's 1:27:33 analyzing so we'll go look at that when 1:27:35 I went to 1:27:36 analyzing all it said was Define the 1:27:39 colors and it made the black and 1:27:42 uninteresting black the white and 1:27:43 uninteresting White and the gray a 1:27:46 medium gray that's 1:27:47 uninteresting so it just says to me that 1:27:50 it just made that [ __ ] 1:27:51 up so let's go look at what it did here 1:27:58 um it's analyzing what's it 1:28:03 doing skill cluster look sklearn cluster 1:28:07 it's bringing in libraries so it can 1:28:08 actually analyze the RGB colors in this 1:28:11 image this is 1:28:13 better extracted color palette from 1:28:16 poster hex it's still going I don't know 1:28:19 what it's doing it's probably 1:28:23 crashing did you do you know that chat 1:28:25 GPT could write and execute python code 1:28:28 and if you ask it something in the 1:28:30 neighborhood of math it just kind of 1:28:31 does this if you didn't know that if you 1:28:35 didn't know that most of these large 1:28:37 language models do some version of this 1:28:40 you're not playing 1:28:43 enough yeah this is definitely 1:28:48 hung 1:28:50 stop try again 1:28:55 and again what's what's the big prompt 1:28:58 engineering here uh that didn't work 1:29:00 could you do it again there 1:29:03 [Laughter] 1:29:07 Bob it done got stuck I know P what are 1:29:10 we gonna do these dang computers they 1:29:13 just don't want to work let's go see if 1:29:15 it did it again yep sklearn cluster 1:29:19 numpy Matt plot lib I think they call it 1:29:23 I would call it live but that sounds 1:29:25 weird so I think lib's 1:29:28 right yeah it's hanging it's not 1:29:32 happy did it what did it 1:29:39 do I don't know it ain't working but 1:29:41 anyway you you keep [ __ ] with it you 1:29:43 get the basic 1:29:44 idea all 1:29:48 right was I I had nothing I I've done 1:29:51 nothing tonight that I intended to do 1:29:59 welcome to chat add my name's Kyle 1:30:02 Channon and I've got ADHD I'm a neuron 1:30:06 nontypical a non tip a neuro ayp I'm 1:30:11 atypically neuro neurotic neuro I don't 1:30:14 my brain don't work good but it works 1:30:17 super good for some stuff but really bad 1:30:19 for the the stuff you think is 1:30:21 important uh tonight I'm going to learn 1:30:26 to educate you on the wonders of artifi 1:30:29 it's really not artificial intelligence 1:30:31 it's more like machine learning uh could 1:30:35 you re-upload the 1:30:37 image I'm gonna say oh wait hang on hang 1:30:40 on hang on this is gonna be 1:30:42 good this is important if you get 1:30:44 frustrated you can say oh chat 1:30:49 GPT I'm not 1:30:52 mad I'm disappointed 1:30:56 disappointed throw back at this thing 1:30:59 what your parents did to 1:31:02 you here you 1:31:04 [Laughter] 1:31:10 go I love yelling at my 1:31:14 computers there you go oh chat 1:31:18 GPT we'll see what it does it's probably 1:31:20 going to it's probably going to crap out 1:31:22 again Tick Tock pin hang on a sec let me 1:31:25 see it 1:31:26 there that should be the whole code 1:31:29 actually yeah it just never went past it 1:31:31 and uh and grabbed it it it you know it 1:31:35 never took it and did anything with 1:31:38 it yeah this you're probably right Pate 1:31:41 this probably is the 1:31:47 full but see it's just 1:31:51 hanging so let me stop it here and say 1:31:56 it it looks 1:31:59 like it 1:32:02 looks like you 1:32:06 wrote the 1:32:08 code to do the analysis on the image but 1:32:14 then got 1:32:17 stuck use that code 1:32:22 and analyze 1:32:25 the image and then build me my stinking 1:32:33 [Laughter] 1:32:40 palette oh Tams I'm not even done with 1:32:42 my tree how did we get 1:32:47 here there's there's so many there's so 1:32:49 many good questions how did we get there 1:32:51 it has ADHD it totally does tell it to 1:32:55 continue to finish it seems the 1:32:57 environment reset again preventing me 1:32:59 from executing the analysis let me 1:33:01 rebuild the environment and reanalyze 1:33:03 the uploaded image for its color palette 1:33:05 hold 1:33:08 tight oh good 1:33:12 lord CEF wondering if they're cray cray 1:33:16 we're all cray cray this is a cray cray 1:33:19 F friendly space you can be [ __ ] nuts 1:33:21 in here we're good we're good with it 1:33:25 just don't be nasty cray cray is fine 1:33:29 nasty that I don't do don't like nasty 1:33:33 I'll be nasty to chat GPT I bet it got 1:33:36 stuck at the same damn place oh no it 1:33:37 looks different what did it 1:33:49 do yeah it's stuck it's stuck all right 1:33:52 whatever 1:33:54 this is th 1:33:56 so this challenge that we're having with 1:33:59 chat gbt this is one of the reasons 1:34:01 engineers in particular get so [ __ ] 1:34:03 frustrated with chat GPT because they 1:34:06 just want to get their work done and if 1:34:09 this slows them down like the whole 1:34:12 theory is this is going to speed you up 1:34:14 because it just writes the code like if 1:34:15 you're clueless about code like I am 1:34:17 this is cool I'll just sit here and dick 1:34:19 with it for a while but if you're 1:34:21 someone like Pate who's like actually 1:34:22 trying to get some work done this is is 1:34:24 maddening so this this is where the 1:34:26 tools are right now they're just 1:34:28 sometimes they have ADHD all right just 1:34:31 popping in to say Mary Christie and uh 1:34:34 Happy New Year from Oz hey Drew what's 1:34:35 happening man hope you're well hope 1:34:38 you're well um all right I'm gonna get 1:34:40 on out of here 1:34:41 so Let Me Entertain You you call this 1:34:46 entertainment I wouldn't call this 1:34:48 entertainment Kyle hey Kyle listen 1:34:52 listen Kyle KY 1:34:54 hey 1:34:59 K where I grew up people couldn't say my 1:35:04 name my name's not the 1:35:13 problem Gwyn Yep this is what turns 1:35:15 people 1:35:16 off probably talking about me going hey 1:35:19 Kyle hey KY that's what turns people off 1:35:23 people are new new people in here going 1:35:25 why does anybody watch this why are so 1:35:28 many people here what is happening 62 1:35:31 people all right it's what is it it's 1:35:34 Wednesday night 1:35:36 okay couple of things tomorrow's day 11 1:35:41 of open AI ship 1:35:43 Miss I'm hoping that the next two days 1:35:46 are going to be really big 1:35:48 announcements I am thinking tomorrow we 1:35:51 get agents or we at least get the 1:35:53 announcement of 1:35:55 agents and Friday we get GPT 1:35:59 4.5 that is my speculation based on 1:36:03 nothing I have no inside 1:36:06 information Sam Alman doesn't know I 1:36:10 exist there have been rumors started 1:36:12 that he's jealous of 1:36:15 me I think it was a a a well-meaning 1:36:18 irregular that started that rumor I had 1:36:21 nothing to do with that 1:36:25 but if Sam's jealous of me 1:36:29 and my success and my good 1:36:32 looks and my 1:36:35 Mastery of the tool he and his merry 1:36:38 band of Engineers have created if my 1:36:40 Mastery of that is intimidating to him 1:36:42 so be it that's my cross to 1:36:50 bear someone was talking about the need 1:36:52 for a Microsoft ad 1:36:54 since we had the Apple 1:36:57 ad yeah well the oh the the Microsoft 1:37:01 there was a Microsoft 1:37:05 um yeah I put those I actually put those 1:37:08 in the 1:37:11 uh I put those in the the uh AI Salon 1:37:17 presentation let me go show you two 1:37:19 videos that I think are worth watching 1:37:24 we'll do a little we'll do a little chat 1:37:26 add moment here give you a little goodie 1:37:29 to send you 1:37:37 off Sacha 1:37:43 [Music] 1:37:45 nadela let's see 1:37:52 um um end of 1:37:58 year yeah this 1:38:11 [Music] 1:38:16 one 1:38:22 okay the pace of AI Innovation this past 1:38:26 year has been truly remarkable but 1:38:28 looking back what stands out most is the 1:38:31 incredible speed at which this 1:38:33 technology has diffused at Microsoft 1:38:37 it's never been about tech for tech sake 1:38:40 but it's about translating Innovation 1:38:42 into real impact one person one 1:38:44 organization one community at a time and 1:38:47 throughout 2024 I've had the privilege 1:38:50 of witnessing countless examples of this 1:38:53 around the world 1:38:54 in Europe cancer researchers are using 1:38:57 an agent they built to automate 1:38:59 administrative tasks so that they can 1:39:01 focus more on what truly matters their 1:39:04 research manufacturers are addressing 1:39:07 labor shortages by programming Machinery 1:39:09 with human language instead of 1:39:11 programming language and city employees 1:39:14 are helping tourists experience one of 1:39:16 the world's most ancient cities in an 1:39:18 entirely new way in Asia Aqua farmers 1:39:22 are improving their fishing yields and 1:39:25 teachers are creating more engaging 1:39:27 lesson plans in less time in South 1:39:30 Africa a university has reduce the time 1:39:32 it takes to enroll new students as they 1:39:35 scale in South America researchers are 1:39:38 now able to identify endangered species 1:39:41 faster than ever as they race to 1:39:43 preserve the rainforest and 1:39:45 entrepreneurs are helping people make 1:39:48 healthier choices about what they eat 1:39:51 and in the United States educators are 1:39:53 finally tur the dream of a personal 1:39:55 tutor into reality for everyone stories 1:39:59 like these inspire me they demonstrate 1:40:02 what is possible when we amplify human 1:40:04 achievement with technology because this 1:40:07 era is not just about AI doing magical 1:40:10 things it's about how each of us can use 1:40:13 AI to realize our 1:40:15 potential that that statement right 1:40:17 there those last two statements is why I 1:40:19 think this is worth watching I mean this 1:40:21 is just corporate draggy kind of 1:40:23 [ __ ] video but those projects are 1:40:26 interesting but just what he says here 1:40:28 at the end is pay attention to it 1:40:30 because this this is one of the more 1:40:32 clear articulations of the value of AI 1:40:35 I've heard in a while is not just about 1:40:39 AI 1:40:42 doing inspire me they demonstrate what 1:40:46 is possible when we amplify human 1:40:48 achievement with when we amplify human 1:40:50 achievement right what what AI does why 1:40:54 it feels magical is it takes your 1:40:56 achievement and it amplifies it right 1:40:59 that's that's why this thing feels so 1:41:02 like like you can't get enough of it is 1:41:05 because you're getting to 1:41:07 self-express in an amplified way and 1:41:10 that's like that that's it for me with 1:41:13 technology because this era is not just 1:41:15 about AI doing magical things it's about 1:41:18 how each of us can use AI to realize our 1:41:21 potential not just about AI doing 1:41:24 magical things to Pat's point it's about 1:41:27 how we can use AI to magnify our 1:41:29 potential that's [ __ ] poetic it's 1:41:32 good and I'm looking forward to how we 1:41:34 build on this promise in the year ahead 1:41:36 thank you all so very much all right so 1:41:39 that's worth 1:41:41 watching and then this one if you 1:41:43 haven't seen the Apple ad um 1:41:47 Apple 1:41:49 airpod um hearing 1:41:59 a is this it 1:42:05 no what did it just 1:42:11 [Music] 1:42:19 do does he always sing like that that's 1:42:22 really annoying 1:42:25 here we go we got it last 1:42:30 week we got it last week I think I know 1:42:33 what it is are you 1:42:35 serious guys thank you you 1:42:41 [Music] 1:42:57 I got the 1:43:00 [Music] 1:43:10 mo 1:43:12 John 1:43:18 listen light the 1:43:21 fire you place the FL flow in the that 1:43:26 you bought 1:43:28 [Music] 1:43:30 today you're so excited 1:43:34 youy happy birthday look at the picture 1:43:38 of me and you daddy look at the 1:43:41 [Music] 1:43:46 Moon I am a 1:43:49 robot what is that 1:43:55 everything is easy 1:43:59 cuz I love 1:44:02 you 1:44:05 [Music] 1:44:11 [Music] 1:44:14 you don't 1:44:18 cry ah love that commercial um you know 1:44:23 is that it's not an AI commercial but 1:44:25 like for me the accessibility that AI is 1:44:29 about to deliver on the world like 1:44:31 that's very much in line with it so all 1:44:34 right and if you don't know that the new 1:44:36 airpod Pro 2 can act as hearing aids so 1:44:41 you basically have an app on your phone 1:44:43 that you do all the fine-tuning that you 1:44:46 do with real hearing aids and they can 1:44:47 act as hearing aids that's we're going 1:44:49 to get a pair of those for my wife's 1:44:52 mother who is having hearing issues so 1:44:55 anyway that's that okay Brandon pointed 1:44:57 out we can't end it on that bummer um 1:45:00 fine so we're gonna go we're gonna go 1:45:03 somewhere wait you can't see that yet 1:45:06 dang 1:45:06 [Laughter] 1:45:14 it oh wait you can't see this can 1:45:18 you wait hang 1:45:21 on hang on a second 1:45:25 oh man all right hold for a second um I 1:45:30 got to change my my sharing setup hang 1:45:34 on wait okay this is good this is 1:45:36 actually good 1:45:38 because I gotta I gotta change my I 1:45:41 gotta get 1:45:45 to Virtual try on 1:45:51 okay okay okay 1:45:54 this is GNA be so 1:45:55 [Laughter] 1:46:03 good he's just laughing at himself 1:46:06 what's he doing this is ridiculous why 1:46:08 am I still watching this all 1:46:14 [Music] 1:46:17 right good Lord okay are we good I think 1:46:21 we're good 1:46:23 that was inspiring Amplified where's 1:46:26 your AI assistant all right yeah really 1:46:29 okay 1:46:31 okay so if you go to king.com two new 1:46:35 things are available now one is cing 1.6 1:46:38 a new video model so if you've got cling 1:46:41 credits worth trying 1.6 but they have 1:46:44 this new thing called virtual 1:46:48 Tryon um let's 1:46:51 see all right this is good so we're 1:46:55 going to do a custom 1:46:57 model and that custom 1:47:00 model is going to be a hot version of AI 1:47:04 [Laughter] 1:47:09 me right so I'm up there I'm up there in 1:47:12 my suit with my fake AI 1:47:16 car there I am look how good I look and 1:47:20 then let's 1:47:22 see let's do let's do multiple 1:47:26 garments and let's let's get some other 1:47:29 options 1:47:30 here all right we'll do a nice blouse on 1:47:33 the top like 1:47:35 that and we'll do some some flare pants 1:47:40 on the bottom now you can go off to you 1:47:43 can go off to just like pictures on the 1:47:45 internet and go find 1:47:47 fashion and then 1:47:49 um I'm just GNA do one output 1:47:54 five 1:47:56 credits and it's going to do this but 1:47:59 let me show you so I did this earlier I 1:48:02 did the Brandon Brandon told me this 1:48:03 thing existed and I I forgot about it 1:48:05 and so I'm like oh yeah let's go try it 1:48:07 quick so 1:48:18 here you're welcome 1:48:23 wait it gets better you can turn this 1:48:25 into a video you click on the bring to 1:48:28 life button and it says free for now so 1:48:32 oh wait this is the one I just did with 1:48:34 the blouse there's me in the 1:48:39 blouse bring to life so we're gonna 1:48:41 bring that to life and now let me go 1:48:43 show you the the other one that I 1:48:45 brought to 1:48:46 life is that one going I'm not going to 1:48:49 spend 35 credits on that I'll just go 1:48:50 show you the other one AI video 1:48:53 [Laughter] 1:49:01 wait why is it why is it covering that 1:49:04 up there you 1:49:06 [Laughter] 1:49:11 go I gotta say I got a pretty nice butt 1:49:16 you know that thing's 1:49:18 shapely that's 1:49:20 nice I like it 1:49:23 [Laughter] 1:49:30 you're welcome you're welcome try to 1:49:32 unsee 1:49:37 that just try just try to unsee 1:49:41 that we're gonna get banned from Tik 1:49:47 Tock oh good lord all 1:49:51 right so we did some demos we did some 1:49:54 philosophy we did hot chick 1:49:57 [Laughter] 1:50:01 Kyle she's 1:50:03 [Laughter] 1:50:09 handsome it's still I'm still watching 1:50:12 myself turn around and show my 1:50:15 [Laughter] 1:50:21 ass here's the good news news all of 1:50:24 this has been streamed live to LinkedIn 1:50:26 where all of my clients can see 1:50:34 this why did Story vine go out of 1:50:37 business well there was this there was 1:50:40 this night at the AI learning lab where 1:50:42 uh things went a little South with some 1:50:45 virtual Trion clothing and uh none of 1:50:49 the clients came back it it was 1:50:51 devastating for everyone involved 1:50:54 all right they know you yeah they do 1:50:56 know me it's true all right I'm gonna 1:50:58 leave I'm gonna get out I'm gonna go I'm 1:51:02 gonna I can't I 1:51:07 can't I'm winded uh Pate had a pin up I 1:51:10 don't see it could someone repin pate's 1:51:12 pin P's pate's pin was prematurely 1:51:17 perturbed from the pinning situation my 1:51:21 channnel 1:51:28 [Music] 1:51:37 when was that we had 605 tonight is that 1:51:42 true good 1:51:46 lord well I hope that were're there to 1:51:48 see my lovely 1:51:49 outfit has anyone made a video of Kyle's 1:51:53 Colonel Sanders just an idea okay that's 1:51:56 just getting downright mean and funny 1:51:59 which I think 1:52:00 is as my son Zachary said to me once Dad 1:52:05 yeah you're funny but you're kind of 1:52:12 mean is right down my 1:52:15 alley all right Source Camp you get back 1:52:18 to the beach have another M Tha and 1:52:21 convert another construction work to be 1:52:23 an AI evangelist in the Caribbean that's 1:52:26 [ __ ] 1:52:27 hilarious okay so one thing that I do 1:52:30 want to talk about before I 1:52:33 go 1:52:41 um December 27th and 1:52:46 28th get your ass put it on your 1:52:51 calendar go to aif festiv us.com right 1:52:55 now aif festiv us.com and just sign up 1:52:59 for this thing what this is is this is 1:53:01 two days starting at 900 am on Friday 1:53:05 and ending at 800 pm on Friday starting 1:53:08 at 9 am on Saturday and ending at 8:00 1:53:10 pm on Saturday two full [ __ ] days of 1:53:14 non-stop hour by hour workshops and 1:53:17 demos and interesting [ __ ] people are 1:53:19 working on and ways to think about AI 1:53:24 great this is also if you're in the AI 1:53:27 Salon I've just been informed Vicki has 1:53:30 actually created an event in the salon 1:53:32 for this as well so if you're in the 1:53:34 salon go to our events area and RSVP for 1:53:37 this if you're at aif festiv us.com fill 1:53:41 in your name 1:53:45 here let's see Kyle I need to do a Santa 1:53:49 video from images of Santa I missed that 1:53:52 the PIN went 1:54:00 away look at my hair Amy Mama am I 1:54:04 pretty am I pretty so why would you do 1:54:09 two 12-hour 1:54:12 days in the in between Christmas and New 1:54:15 Year so Ann Murphy and I last year we 1:54:17 did a thing called gpts for good where 1:54:20 this community built 150 custom gpts for 1:54:24 nonprofits this year it's all about you 1:54:27 it's all about training as many people 1:54:28 as possible on a bunch of cool [ __ ] we 1:54:31 we've got technical things in there 1:54:33 we've got people from different 1:54:34 communities it's going to be awesome I 1:54:37 need to do a Santa video from images of 1:54:40 Santa and small pres images to video so 1:54:45 Mr it two simple things go to um Mid 1:54:50 Journey or or even chat GPT create the 1:54:54 images and then you just take those 1:54:56 images to any one of 1:54:59 the the video generating tools I think 1:55:03 cing gives 1:55:04 you daily credits I 1:55:08 think does pika pika doesn't I think 1:55:12 cing 1:55:15 does Runway I think you can do 10 bucks 1:55:18 a month and get some amount of credits 1:55:20 and basically you just upload the image 1:55:22 and then you can just hit generate you 1:55:24 should be able to do that very very 1:55:25 quickly Sora yeah if you've got Sora you 1:55:28 can use Sora so yeah just upload the 1:55:30 image and just tell it what you want 1:55:31 Santa to do now if you're like but the 1:55:35 videos suck yeah that's where we are 1:55:38 right 1:55:40 now okay so 1:55:45 tomorrow um what time's that n event and 1:55:47 where's that listed um 1:55:53 in the salon 1:55:55 okay um where in the 1:55:59 salon other events got it okay so go 1:56:03 sign up for this 1:56:06 tomorrow at 11:00 a.m. Mountain 10: a.m. 1:56:09 Pacific 1 p.m. Eastern I'll be doing the 1:56:12 the the open AI ship Miss event I'll be 1:56:15 streaming their stream again I haven't 1:56:18 been ceased ceased and desisted yet um 1:56:27 nons Salon 1:56:28 events if you go to the AI salon and go 1:56:31 to the news 1:56:33 area and go to nons salon events Brandon 1:56:36 put up an event tomorrow this guy Nate 1:56:39 Nate Jones he's on Tik Tok all the time 1:56:42 I see this guy's doing like four or five 1:56:45 videos a day and they're and they're 1:56:47 always good he's really smart you should 1:56:49 be following this guy he's good he's 1:56:52 calm he's smart so tomorrow he's doing 1:56:56 like a 20y year in review kind of thing 1:56:58 or what what you should do in 2025 10x 1:57:01 year 2025 um so this is at 6 pm tomorrow 1:57:06 eastern time so that's 4 pm Mountain 1:57:09 Time 3 pm Pacific so go do that and then 1:57:15 tomorrow night we'll be back here all 1:57:18 right all right all right people all 1:57:22 right are we good and everybody good 1:57:25 here everybody good here Nate B Jones on 1:57:28 Tik Tok he's Nate B 1:57:31 Jones all right YouTube LinkedIn X great 1:57:35 to see yall thanks for hanging out I 1:57:37 appreciate everyone being here I'm going 1:57:39 to take off 1:57:43 peace Tik Tock I'm still