
AI Learning Lab
aiLL Nov 26, 2023 - Mastering AI Tools: How Anyone Can Unlock Creativity

Video2023-12-162:15:065 views
Description
In this compelling session, host Kyle Shannon provides an inspirational overview of the latest AI tools, demonstrating firsthand how anyone can tap into new levels of creativity. From generating storyboards and production schedules to crafting vivid scene descriptions, Kyle showcases AI's remarkable - and remarkably accessible - creative potential. Whether you're an artist, writer, filmmaker or simply AI-curious, don't miss this lively demonstration of AI in action. Check out Kyle's TikTok channel for more insights: https://tiktok.com/@aiLearningLab #ai #creativity #writing
0:07 - Learning together about the AI landscape
1:31 - Fostering community around AI exploration
3:07 - Emergence of user-friendly AI interfaces
8:17 - Democratization of AI through open-source code
12:43 - Microsoft's Orca 2 vs. OpenAI
15:26 - Speculating on reaching AGI capabilities
18:30 - Preparing for societal impacts of AI advancement
23:48 - Establishing healthy values as AI Salon grows
25:53 - Curating AI tools for creative applications
35:18 - Witnessing the dawn of a technology revolution
40:55 - Anticipating resistance from power centers
43:27 - Importance of critical thinking skills development
45:05 - Artist perspectives on using AI tools
52:05 - AI applications in psychology practice
55:22 - Creating customized therapy chatbots
1:03:08 - Building an AI tutor for neurodiverse students
1:10:13 - Storyboarding films with AI assistance
1:16:38 - Directing the visual style through prompts
1:31:09 - Capturing a creative vision with AI
1:40:55 - Speculating on future multimodal capabilities
1:44:20 - Revisiting old creative projects with fresh eyes
1:55:01 - The rapid evolution of AI's creative skills
2:04:12 - Coping with inconsistencies during the AI journey
2:11:12 - Upholding community values amidst growth
Chapters
0:00<Untitled Chapter 1>0:07Learning together about the AI landscape1:31Fostering community around AI exploration3:07Emergence of user-friendly AI interfaces8:17Democratization of AI through open-source code12:43Microsoft's Orca 2 vs. OpenAI15:26Speculating on reaching AGI capabilities18:30Preparing for societal impacts of AI advancement23:48Establishing healthy values as AI Salon grows25:53Curating AI tools for creative applications35:18Witnessing the dawn of a technology revolution40:55Anticipating resistance from power centers43:27Importance of critical thinking skills development45:05Artist perspectives on using AI tools52:05AI applications in psychology practice55:22Creating customized therapy chatbots1:03:08Building an AI tutor for neurodiverse students1:10:13Storyboarding films with AI assistance1:16:38Directing the visual style through prompts1:31:09Capturing a creative vision with AI1:40:55Speculating on future multimodal capabilities1:44:20Revisiting old creative projects with fresh eyes1:55:01The rapid evolution of AI's creative skills2:04:12Coping with inconsistencies during the AI journey2:11:12Upholding community values amidst growth
Transcript
0:04 [Music] 0:08 champ are you going to 0:13 [Music] 0:26 [Applause] 0:29 sing 0:32 [Music] 0:45 I think you are first forever hook no no 0:47 you were fifth fourth or fifth you were 0:52 close hey everybody Welcome champy says 0:57 hi champy says hello 1:00 happy Sunday evening Dr J good to see 1:08 you yay I'm on time Clint 1:13 Copperhead present Turtles llas 1:18 hedgehogs do what ye do ye fellow 1:23 Irregulars good day good day good day 1:28 Christopher thank you for the Roes the 1:32 roses are 1:34 fantastic are those your car glasses no 1:37 these are my these are my computer 1:39 glasses these are my car 1:43 glasses like a 60s I look like a like a 1:46 well without the 1:48 hair these are kind of like 60s 1:51 uh gmen 1:58 glasses what's happening to BU 2:02 okay got my phone for Tik Tok iPad for 2:04 Discord trying to get Mighty networks on 2:07 my iPad too I know it's a lot right now 2:10 we'll we'll we'll simplify we have like 2:13 another week or so before we you know 2:15 officially switch over so still trying 2:18 to figure Mighty networks out welcome 2:21 everybody welcome welcome welcome 2:23 welcome to the AI learning lab encourage 2:26 more viewers to share okay hey viewers 2:29 would you share this would you share 2:31 this live and particularly if if you can 2:35 share it with friends or family that you 2:37 know it would 2:38 bug that you're watching a Channel about 2:42 AI that would be good let's get some 2:44 people in here we'll give them their 2:45 first Kevin mallister 2:48 moment 2:50 um I don't I I've got I've got zero 2:53 agenda tonight I mean there's there's a 2:55 lot going on there's a lot of lot of 2:57 things rolling but um but I think it's 3:00 just 3:02 uh I don't know I think it's 3:05 just just cranking along like I feel I 3:07 feel like last week was so dramatic with 3:10 the open AI 3:12 nonsense grock is happening wait I'm 3:15 just not paying for it I hear good 3:16 things yeah I heard that too but I do 3:19 not seem to have access to it let me 3:22 see unless I 3:25 do why is this why do I not 3:28 have there we go 3:32 I got no grock I got no grock on the 3:34 left hand side let me 3:36 reload I'm paying the 16 3:39 bucks verified orgs communities messages 3:43 I got nothing people I got 3:50 nothing so we'll say we'll 3:54 say what was that was oh it was Napoleon 3:58 Dynamite the the brother or the cousin 4:01 he talk like 4:03 this with his lower teeth out I thought 4:06 that was the the funniest acting 4:09 Choice what's up 4:12 Napoleon finally having about finally 4:15 having meeting about an AI pilot project 4:17 tomorrow at work brainstorming ideas oh 4:19 that's a awesome 4:21 kruno man it's it's so cool like you've 4:23 gone from like you know secret cyborg to 4:26 like thought leader in your company in 4:28 in couple of months that's very 4:31 cool as they say in the military no joy 4:34 want to explore Google's 4:36 duet 4:38 um possibly 4:41 except I don't think I have access to it 4:45 because I have Google 4:50 workspace and ironically if you pay for 4:53 Google you don't get this [ __ ] although 4:56 maybe they've added it 4:58 docs let me fire up up a Google doc here 5:01 and see if I got 5:07 it hello 5:13 um I don't think I got 5:16 it 5:18 tools 5:21 no why am I not seeing the 5:28 suggestion 5:32 I don't know what does grock mean okay 5:35 so so welcome everyone my name is Kyle 5:37 Shannon this is the AI learning lab we 5:39 will learn about anything AI anything 5:42 you want to talk about pop it in the 5:44 comments below um I'll do my best to get 5:46 everyone up to speed we'll do some 5:48 little level setting here and then 5:51 um and then we can dig in and and I 5:54 don't know do whatever you want to do we 5:56 can we can do some demos we can I can 5:58 answer questions grock is um the new 6:03 Twitter 6:05 um x. 6:08 a which is 6:11 X's AI arm so X used to be Twitter and 6:16 grock is their new chat GPT 6:19 competitor and it's supposed to be 6:21 launching widely to Twitter premium 6:26 members so basically if you're paying 16 6:29 bucks a month for 6:30 Twitter which I just bit my lower lip 6:33 and and paid it because I want to try it 6:36 um it's supposed to be coming out this 6:37 week the the early uh early responses 6:41 are good what's what's interesting about 6:43 it is it incorp well a it's part of 6:46 Twitter right it's part part of X So 6:49 within within your interface you've got 6:51 this tool and it incorporates X data in 6:55 its answers um so yeah yeah that's 7:01 that that's what it is so so we we 7:04 should see it's also got um it's 7:06 supposed to be not biased it's supposed 7:09 to be there's a funny mode where it'll 7:11 just be a smartass um which I think is 7:13 kind of 7:16 funny what did it say it 7:19 said someone Lex fredman asked it asked 7:23 grock about Elon Musk and said you know 7:26 is Elon Musk wrong about this and it 7:29 said oh the same Elon Musk that was 7:31 wrong about something and it said he's 7:33 wrong more than a wrong Omer at a wrong 7:37 [Laughter] 7:40 Factory oh 7:43 man Sher D CER Rose thank you very 7:48 much unbiased I doubt it I know all 7:51 these things are going to be some level 7:53 of bias depending on what they're 7:54 trained on hey Robert 7:58 Rossy 8:04 [Music] 8:06 trained on tweets it's going to be so 8:08 confused you can get more misinformation 8:15 faster yeah grock where where truth is 8:20 [Laughter] 8:21 relative we'll see we'll 8:25 see I mean like like all of these things 8:28 there's always compromises right he 8:29 wants things to be open and completely 8:32 fair and biased it probably means it's 8:33 going to there's going to be some 8:34 downside to that some unintended 8:36 consequence to that so so we'll see 8:40 we'll see how it goes all right so if 8:42 you've got uh any questions or comments 8:45 Kyle are you real or AI I'm gp5 nice to 8:48 meet 8:51 you uh I think I'm real um I do my best 8:58 I do my best to be 9:00 authentic um I can show you uh I can 9:04 show you the fake version of me here you 9:06 want to see this is funny this is funny 9:10 this is comedy this is 9:13 Haha where is it let's see we'll do it 9:16 here we go there and we'll go there and 9:18 we'll go there and go 9:22 there so I'll show you two versions of 9:25 me one is it's my real voice 9:30 but it's not real video this one hey 9:33 it's Kyle Shannon with the AI learning 9:35 lab so the previous video on my timeline 9:39 is an avatar generated with haen where I 9:42 didn't say the words I just typed in a 9:45 script and it synthesized my voice and 9:48 it was decent but it didn't really sound 9:50 like me this so that's that's my 9:53 recorded voice but but faked video and 9:57 this is not even my recorded voice 10:01 where is it hang 10:02 on hey hey it's Kyle Shannon with the AI 10:05 learning lab you know there are some 10:07 days I just don't want to turn on the 10:09 camera days where I don't even want to 10:10 get out of bed well good news we now 10:14 live in a so there's fake me so so we 10:17 can have fake me we can have all the 10:19 fake me you want um Jim Ross any chat 10:23 GPT birthday plans uh yeah I'm just 10:26 going to I I'm just going to go I just 10:29 I'm going to keep going live and 10:30 whenever I need to take a break I'm 10:32 going to take a break so I think I'm 10:33 going to start in the morning and then 10:35 I'll you know I'll do work [ __ ] then 10:37 I'll jump back into the live then I'll 10:39 jump off then I'll jump back into the 10:41 live so wholesome 10:44 exactly a post sci-fi world and I can 10:48 just type up this script and select my 10:50 avatar I can just type up this script 10:54 and yeah crazy crazy crazy crazy your 10:59 avatar sounds more realistic 11:02 exactly my version of you for $35 is 11:07 just as 11:10 good fake you is more handsome hey now 11:14 hey 11:15 now Kevin 11:18 Vasquez all right uh it's supposed to be 11:23 a leaked paper so qar and and what was 11:26 the other one that you asked about cam 11:29 the 11:31 uh Orca I don't know orca orca 2 let me 11:36 just go quickly do a quick search on it 11:37 see what it 11:39 is uh I can tell you what qar is or what 11:42 I what I understand of 11:44 qar um Orca 11:49 2 Microsoft releases Orca 2 a pair of 11:53 small language models oh yeah 11:57 so and these aren't these didn't the 11:59 these things supposed to didn't they 12:01 show up like better than GPT 3.5 or 12:04 something like that orcu 13 12:07 billion Microsoft's AI model that 12:09 challenges chat GPT yeah satian adala 12:13 talked about this he hinted at 12:16 this a th000 plus pre-built AI apps for 12:19 any use case 12:21 interesting what is Ora 2 at its core 12:24 it's a testament to Microsoft's 12:26 commitment he sort of talked about this 12:28 when they were like wow what's going to 12:29 happen if open AI screws up he's like 12:31 well we're into large language models 12:32 we're into small language models which 12:34 is what this is what what's the big deal 12:37 about a small language 12:39 model is that as they as they optimize 12:43 these as as a combination of chips 12:46 getting faster and these things getting 12:49 smaller and more optimized is you're 12:51 going to be able to 12:52 run GPT 3.5 level large language models 12:57 locally on device right right so on your 13:00 phone on your 13:02 computer and they won't have to go out 13:04 to the Internet so they'll be faster 13:06 more responsive they'll be there'll be 13:08 there won't be L latency issues and 13:10 there won't be privacy issues because 13:11 you'll be running things 13:13 locally so that feels like a pretty big 13:15 deal to me although I didn't this the 13:17 first time I'm really seeing it like I I 13:19 knew I knew it was coming and I saw a 13:20 tweet about it today that this thing 13:22 apparently performed quite well um so I 13:25 don't know about that 13:26 qar um is 13:30 the 13:31 rumored 13:33 um the 13:35 rumored break through from CH from open 13:40 AI where they say well maybe we hit AGI 13:44 um but they've been pretty tight lipped 13:46 about it since all the all the debacle I 13:48 don't think they want more drama right 13:50 now let's see Q 13:57 star see if there's any anything 13:59 interesting 14:03 here a lot of thirst traps trying to 14:06 take advantage of people searching for 14:12 qar but whatever let's see qar open AI 14:16 maybe that'll help 14:17 with oops not 14:28 Zi 14:34 yeah I don't think there's anything new 14:36 so so basically what qar is is it's a 14:39 it's 14:41 a it's a an algorithm let's 14:47 see it sits on top of a large language 14:50 model and helps it basically do 14:52 reasoning and they did reasoning on very 14:56 simple mathematical equations but the 14:59 Breakthrough was apparently that it got 15:01 them 100% right and math is very 15:04 different 15:05 than um than large language than 15:09 language um because it requires 15:11 reasoning and you know running down 15:13 different paths and doing that until you 15:16 get it right and apparently that's what 15:19 they've achieved so that's what qar is 15:21 in in a nutshell what are your thoughts 15:23 on artificial super intelligence well if 15:26 we if we get to AGI so so there's 15:29 artificial general intelligence where um 15:32 it's essentially that 15:35 the the large language model becomes an 15:38 autonomous system that performs better 15:41 than most humans or or better than 15:44 humans at most economically valuable 15:47 tasks that's the open AI Definition of 15:50 artificial general intelligence so 15:53 basically when when when the when when 15:57 chat GPT can do your job better than 15:59 than you can and can do essentially any 16:01 knowledge work job better than humans 16:05 artificial super intelligence is where 16:07 these things are smarter than the all of 16:10 us and you 16:12 know I I don't think we're close to 16:15 artificial super intelligence but the 16:17 minute you get to artificial general 16:19 intelligence and if you have 16:22 the um you use the AGI to improve itself 16:28 then you get to artificial super 16:30 intelligence very 16:32 quickly Kyle um what is Apple doing to 16:35 stay competitive with AI you mentioned 16:37 slm being able to do something that the 16:41 pinned comment just went away uh so if 16:44 you could repin that um so so 16:50 Apple Apple's doing what Apple does wait 16:54 you okay Apple uh hang on what's it say 16:59 slm being able to run small language 17:01 model being able to run on devices Apple 17:04 have anything in the works um so I I 17:08 don't know any more than anyone else but 17:10 just paying attention to the The Vision 17:12 Pro launch and the Apple 17:16 um iPhone 15 launch and the recent M3 17:20 launch of the the M M3 17:23 chip all three of those um 17:27 launches 17:31 the first two didn't mention artificial 17:33 intelligence at all but they did mention 17:35 machine learning and inferences and 17:37 embeddings and things like 17:40 that um and in The Vision Pro goggles 17:43 they've got this chip called the R1 I I 17:46 assume it stands for reality one um but 17:49 it's it's it's doing machine learning 17:52 processing on all the sensors in the 17:55 device in real time um and then the they 17:59 mentioned both the iPhone 15 and the M3 18:02 have advanced machine learning 18:04 capabilities so I think apple is um 18:09 building the foundation right now from a 18:11 hardware perspective um they've 18:14 apparently put they they spent in 2023 18:18 their R&D budget was $22.4 billion and 18:22 apparently a lot of that was on on AI I 18:25 feel like I need to do 18:27 homework I know it should 18:29 that's that's kind of what this is 18:31 feeling like right now because it's I 18:33 I'm right there with you I feel like 18:35 there is so much changing so fast I 18:40 don't I don't even know like I kind of 18:43 know how to use chat GPT right now but I 18:48 don't really like it the fact that it's 18:51 gone fully multimodal where it's got 18:53 vision and it can generate images and it 18:55 can hear and it can talk and it can do 18:57 all this there's so many ways to use it 18:59 right now not even dealing with like the 19:01 developer side of this where there's 19:03 there's a whole other world of what you 19:05 can do with their 19:06 API and so I I I feel like I'm right 19:09 there with you that I I spent the last 19:11 year learning a tool that is so 19:13 fundamentally different now that I don't 19:15 know I don't know I don't know how to 19:17 use it um so I feel like a bit of a 19:21 fraud 19:23 here uh so and it does it kind of feels 19:26 like I got to do my homework I gotta 19:27 learn my [ __ ] 19:29 um knowing that that we're about to you 19:33 know it's going to change again and it's 19:34 going to change again and then Google's 19:37 going to come out with Gemini and you 19:39 know grocka is coming out it's going to 19:40 behave slightly differently so so it is 19:43 this is very much a curiosity hamster 19:47 wheel there's one for you are regulars 19:49 to go make something with the Curiosity 19:51 hamster wheel is Agi hold up based on 19:55 RAM GPU speed board Hardware thickness 20:00 [Laughter] 20:05 space now I think AGI is just based on 20:10 the current current large language 20:12 models are really kind of dumb they're 20:14 just 20:15 dumb um calculators they're probability 20:18 engines that just do it over and over 20:20 again they're not aware of what they 20:22 make it sounds like what they did with 20:24 this qar thing is they said okay you got 20:26 a large language model down here that 20:28 spits out a bunch of [ __ ] it's not aware 20:29 of so why don't we build a system up 20:32 here that can take the output of the 20:36 actions that were taken and score them 20:39 did it do good or did it do bad and if 20:41 it did good give it a higher score and 20:45 if it did bad give it a lower score and 20:47 let's keep track of that score over time 20:49 and so what it allows the large language 20:52 model to do is kind of self-navigate 20:54 toward the right 20:55 solution and that that seems to have 20:58 changed everything it but you know I 21:00 don't know but we don't it's all 21:02 speculation at this point 21:04 there's there's a lot of smart people 21:07 out there talking about it um so I am 21:10 just 21:11 uh this channel is more like chat 21:15 TMZ than news or 21:18 science I'm just sort of paring what 21:20 they're saying at this point we'll see 21:22 can AGI create deliverables or just Aid 21:25 in the creation AGI can create 21:27 deliverables AGI can also take actions 21:30 and AGI is 21:32 autonomous so so right now there's hints 21:36 of autonomous Behavior within chat GPT 21:39 if you watch what it does with code 21:41 interpreter where you give it a goal and 21:43 it writes python code and executes 21:46 python code to hit your goal that's 21:50 that's autonomous Behavior but in a very 21:52 sort of contained little thing what will 21:55 happen with AGI is the system will be 21:58 able to take actions on your behalf in 22:02 ways that it determines that it needs to 22:05 do you give it a goal and it will just 22:07 go off and start doing things and taking 22:09 actions and um do it until it gets there 22:13 Kyle play your Funky Music Play That 22:16 Funky Music W 22:22 boy oh champy Apple's interface chips 22:27 are still a bit of an enigma correct uh 22:30 yeah the or inference 22:33 chips yeah Apple's been fairly tight 22:35 lipped what's what what's what Apple's 22:37 going to do is what Apple does 22:40 is when they're ready to launch AI they 22:43 probably won't call it AI they'll 22:45 probably it'll probably be something 22:47 around assistants or agents you know 22:51 something on your 22:53 behalf 22:56 um and and you know know they'll they'll 22:59 probably come out and try to define a 23:01 new sector that that is kind of consumer 23:04 grade AI right I would argue that chat 23:07 GPT and grock and pi and Po and all of 23:11 them are not consumer grade they're easy 23:15 but they're but they're not consumer 23:16 grade right you still have to do 23:18 prompting and you have to do prompt 23:20 engineering you have to figure out what 23:22 plugins are and then you have to figure 23:23 out what code interpreter is and then 23:25 you you got to go use zapier if you want 23:28 to do automations and it's just 23:30 everything right now is just duck spit 23:32 and duct tape janky ass pieces of 23:35 software apple is not going to come out 23:37 with that so when Apple comes out 23:38 there's is going to be tight and 23:40 buttoned up and it will probably be like 23:42 a lot of Apple products more like a 23:45 Walled Garden where you don't have as 23:47 much control and all the Geeks will go 23:49 oh that's not really interesting cuz 23:50 they're they're you know hiding all the 23:52 controls behind that simple little 23:54 interface that cute little 23:57 Avatar 23:59 and then you know millions of people use 24:00 it because you know they don't have to 24:03 figure out [ __ ] 24:04 [Laughter] 24:10 math 24:15 ah acceleration versus 24:18 incrementalism yeah I think we're I 24:20 think 24:21 2024 I think 2024 we're going to we're 24:24 going to we're going to figure out the 24:26 difference between those two Chris um 24:29 being away from AI for 2 weeks starting 24:32 to feel like a caveman Edgar I've been 24:35 doing this every day I took one day off 24:37 on Thursday for 24:39 Thanksgiving and I still I still feel 24:41 like I'm not caught up I I feel like I'm 24:44 I'm really 24:47 behind but I don't think I mean I mean 24:50 most of the most of what people are 24:53 talking about right now is a lot of 24:54 speculative kind of crap so but I just 24:57 have this this overhang that something 24:59 big is about to change and and so it 25:03 probably won't like it's like it's we're 25:08 probably I don't know I mean it's 25:11 possible that we get the GPT store this 25:13 week hamster wheel Show and Tell 25:17 okay wait which Show and Tell Mighty 25:19 networks or or the 25:24 [Music] 25:27 other 25:31 hamster 25:35 wheel that's 25:41 awesome from B Be not Afraid the 25:44 Curiosity hamster 25:45 [Laughter] 25:54 wheel oh so so where these are thank you 25:58 Drew that's really good 26:00 um these are awesome 26:04 um so these are on the AI Salon Mighty 26:07 networks which is our new home for the 26:09 AI salon I can talk about the AI Salon 26:12 maybe what I'll do here is let let me 26:13 let me do some if you're new to Ai and 26:17 you're you're trying to figure this 26:18 stuff out if you haven't really played 26:19 with chat GPT let me let me do a little 26:21 bit of level level 26:24 [Music] 26:27 setting 26:29 okay so ignore the thing on the right 26:32 but Kyle what's behind the thing on the 26:34 right your head's in the way what are 26:35 you doing your head's in the way Apple 26:37 personal genius yeah it'll be something 26:40 like 26:41 that uh I'm here to let people in okay 26:43 great thanks Vicki that's awesome 26:48 um like playing C ketchup in a hamster 26:51 wheel yeah exactly that's exactly what 26:53 it feels like Robert um if you have not 26:57 tried chat GPT I feel like I'm about to 26:59 sneeze so I 27:03 may maybe I don't know let me drink some 27:06 water hold 27:11 on okay if you've not played with chat 27:14 GPT go there right now go to chat. 27:18 open.com and play with that what what 27:21 you'll get access to is chat GPT 3.5 27:24 which is what 27:25 launched a year ago on November 30th so 27:29 today is the 26th so 4 days from now it 27:32 will have been a 27:33 year and the thing that is at chat. 27:37 open.com if you just use the free 27:39 version is is chat GPT 27:42 3.5 what they launched over the summer 27:46 and then dramatically improved over the 27:48 last month GPT 4 is just a holy 27:52 different thing um they're not allowing 27:55 new people to sign up for it yet but I 27:57 would strong strongly encourage you to 27:59 get on the weit list um it's pretty 28:03 remarkable and I can show some of that 28:04 stuff um so so that's that the the other 28:09 thing that you should do if you want to 28:11 get curious about this stuff is start 28:14 understanding that there's other tools 28:16 that are like chat GPT that are not chat 28:18 GPT um 28:22 Claude is probably their biggest 28:24 competitor it's a company called 28:26 anthropic it's a really good tool um 28:29 co-pilot on the lower right there that's 28:31 Microsoft's version of chat GPT 4 um 28:35 it's free and in the absence of having 28:39 access to chat gp4 from open AI you can 28:41 use co-pilot then you've got Gro which 28:44 is from from X from Elon musk's from 28:47 Twitter um that's coming out this week 28:49 and then you got Bard from Google and 28:52 that's been steadily improving since the 28:54 summer it got kind of usable probably in 28:58 July and it's been getting better ever 28:59 since and it's supposed to get 29:00 dramatically better um so go play with 29:04 those and then I would also encourage 29:06 you to go play with 29:07 these These are four other sort of chat 29:10 GPT like things there's Pi which is very 29:13 conversational get the IOS app and put 29:15 it in conversation mode and talk to it 29:18 it's remarkable it it's connected to the 29:21 internet you can talk to it perplexity 29:23 if you do any kind of research is really 29:25 good for that people are swearing by 29:27 that 29:28 um llama 2 is a whole world of 29:30 open-source large language models um 29:34 that that metap put out and the whole 29:37 developer Community is kind of pouncing 29:39 all over those so that's a whole world 29:40 if you want to geek out on open source 29:43 and running things locally there's 29:45 there's just a whole world there to 29:46 explore and then po lets you play with 29:49 lots and lots of different models you 29:50 can also build these things called Bots 29:54 which are just like uh chat gpt's custom 29:57 gpts that they've launched um very very 30:00 similar to that co-pilot is supposed to 30:02 have co-pilots their version of gpts 30:04 yeah exactly so co-pilot um if you go to 30:09 copilot 30:11 microsoft.com they've apparently 30:13 launched but I don't have access to it 30:15 uh a thing called co-pilot 30:17 studio um where you can make customized 30:20 co-pilots so you know their version of 30:23 gpts just as Chris Ramsey said um so so 30:27 go play with all those 30:29 things chat 30:32 GPT those four and those four and and 30:36 now why 30:39 well because they're all kind of good at 30:41 different things and and they're kind of 30:43 one-upping each other in terms of 30:46 capabilities and what you're going to 30:47 find is that some of them do one thing 30:50 that you want to do but don't do another 30:51 thing so well and so understanding you 30:54 know the strengths and weaknesses of 30:55 them is is is really valuable for the 30:58 next six months or so 31:00 um 31:02 and yeah that's that the other thing if 31:05 you are if you're one of those people 31:08 that is curious about this AI stuff and 31:11 you've kind of gotten obsessed about it 31:13 and you're like the only weirdo in your 31:15 group of friends or family that's into 31:18 this stuff and everyone's looking at you 31:19 like you know you're you're just a freak 31:23 um come join the AI salon so this is a 31:26 group that I started 31:28 a year ago we started this one week 31:30 after chat GPT launched and it's it's 31:36 a community of people that are think of 31:39 it like an AI support 31:42 group hi my name is Kyle I'm into AI hi 31:47 [Laughter] 31:50 Kyle and it's it's a really good group 31:52 of people and we just we just moved over 31:54 to Mighty Network so this is the the 31:56 address for the salon so so AIS salon. 31:59 mn. and go look at about the salon it'll 32:03 talk about the salon um you know we're 32:06 we're a ragtag group of Misfits ndo 32:08 Wells and Mis creant who've gathered to 32:10 explore the Uncharted Wilderness of 32:12 generative AI um and it goes on it talks 32:14 about who we are why we do what we do 32:17 what we're trying to accomplish and it 32:18 talks about our values and our values 32:20 are something I'm really proud of and 32:22 and something that I really want the 32:24 group to maintain as it grows um you 32:27 know one of our values is curiosity we 32:30 want people that are curious and and 32:32 inquisitive and trying to learn thank 32:33 you digital Gods really appreciate that 32:35 um generosity is another one it's a big 32:37 one for me that as you're learning stuff 32:40 share it share what you're learning 32:42 there's no reason to keep any of this 32:44 [ __ ] proprietary because it's changing 32:45 so fast that the thing that you think is 32:48 going to give you the competitive 32:50 Advantage is going to be absolutely 32:52 useless a month from now I promise you 32:54 that so just share what you're learning 32:56 because there are are no experts right 32:58 now everyone's trying to figure it out 33:00 and so generosity is about just 33:02 acknowledging that holy [ __ ] we're in 33:04 the middle of this crazy crazy mess um 33:08 exploration is one of our values we want 33:10 people that are kind of actively 33:11 stepping into this adventure 33:13 collaboration that they're willing to do 33:15 it together inclusion they're willing to 33:17 you know accept people from you know all 33:19 different kinds of work all different 33:22 experience levels things like that and 33:24 then finally empathy is our final value 33:27 and I think it's the most important one 33:30 so let's see Jennifer L thank you I've 33:32 been watching you for over a month and 33:34 something thank you very much I 33:36 appreciate that I talk to Pi for hours 33:38 at a time great sounding board yeah papa 33:41 JJ Pi's Pi's really something I've I've 33:44 used Pi for everything from just like 33:47 wanting to kill some time to I had my 33:50 battery go bad on my car and it helped 33:52 me troubleshoot the bad battery thank 33:54 you been watching you for over a month 33:56 and I'm Blown Away by your dedication oh 33:58 thank you very much Jennifer I 34:00 appreciate that yeah I I mean here's the 34:02 deal like do I do I always want to fire 34:06 up the camera and go live seven nights a 34:08 week I 34:10 don't and and yet I'm doing it why 34:15 because 34:19 um I'm need I'm needing Community right 34:23 I'm needing to connect myself with 34:25 people that are excited about about this 34:27 curious about this trying to figure it 34:29 out trying to reinvent themselves trying 34:31 to reinvent their 34:33 business um and it feels really 34:36 important to me and I here's the other 34:37 thing that I know so I was a little bit 34:39 about my background I'm an entrepreneur 34:41 I was an entrepreneur in the early days 34:42 of the worldwide web and 34:47 um and what's going on with AI right now 34:50 is very very similar to what was going 34:53 on uh in the early days of the web and 34:55 and what I know is that 34:58 the 34:58 beginning of a major shift like what AI 35:03 is about to to do to the world you don't 35:06 get to participate in 35:09 that ever right it's it's it's an 35:12 incredibly rare 35:14 moment to be at the beginning of 35:16 something we are absolutely at the 35:19 beginning of this thing what is this 35:21 thing I don't 35:23 know you know it's AGI it's it's AI it's 35:27 Ma Mach learning it's generative 35:29 AI the values are invaluable thank you 35:32 papa JJ I appreciate that I listen I 35:35 think the values here's the thing about 35:37 values if you if you look at these 35:41 values and they sing to you and you're 35:43 like yeah that's like I want to I want 35:45 to hang out with those kind of people 35:47 great this is probably going to be your 35:49 group of people if you look at those 35:51 values and you're like H that seems 35:53 [ __ ] awful then it's going to be 35:54 [ __ ] awful like like values are not 35:57 there just as like you know successories 36:00 posters right this is how I want people 36:02 to behave and if you don't behave that 36:04 way then it's just it's you're not going 36:06 to fit it's just going to be like a like 36:07 a genetic you know uh you know it'll 36:11 it'll be a it'll the organism will will 36:13 reject it and like you won't enjoy it 36:15 and it won't enjoy you so so those 36:17 things are actually really really 36:19 important I've I've grown a lot of 36:21 things over the years and and values are 36:24 super important and not every one likes 36:28 them because in order to have values you 36:30 actually have to have a point of view 36:32 and we 36:34 do so that's that group we will be 36:36 grateful for what you're doing for years 36:38 to come oh thank you be not afraid I 36:40 appreciate that um I hope so I listen I 36:44 it's not about that right now it's just 36:46 about let's [ __ ] figure this out 36:50 together and and what is this I don't 36:54 know I don't know I mean it's it I 37:00 the more I learn about this the less 37:02 educated I 37:04 feel how do you plan to monetize this 37:06 community You're Building any 37:08 advertisements um well we're not going 37:11 to we're not going to monetize the um 37:14 the community so the the AI Salon what 37:17 we're trying to do right now is just 37:18 cover our costs so so we don't have any 37:20 dues um the mighty networks is free like 37:24 the mighty networks is free and is 37:25 always going to be free 37:28 um right now we're taking um donations 37:31 um and 37:34 um uh we're selling monthly sponsorships 37:37 which which are really cheap right now 37:39 basically just to cover our monthly it's 37:41 like 120 bucks a month for Mighty 37:43 networks we we had to do the business 37:44 version of it for the features we wanted 37:47 um I think over time we might allow 37:49 members within the community to create 37:52 courses and they might be able to sell 37:54 those courses so people can you know mon 37:57 ties things individually I think at some 37:58 point we'll have a merch store that you 38:01 know the proceeds of that will will 38:02 support the group but the whole idea is 38:05 like I I want this to be a like an 38:08 ongoing you know group that anyone can 38:11 join the whole idea is being inclusive 38:14 so um so I'll figure out you know it 38:17 it's we want we want people within the 38:21 community to be able to build their 38:24 brand and monetize that but not monetize 38:27 the community itself and so we're we're 38:30 thinking of all the different ways that 38:32 that's possible what's the huge 38:34 performance limiter on the next year uh 38:37 human 38:41 beings I I think the huge 38:48 limiter is going to be human 38:56 beings 39:03 hm I think we're very very very very 39:07 very unprepared for what's coming for 39:09 what's 39:10 here how much for a Bruce Campell 39:13 impersonation see there's how I'm going 39:14 to monetize things I'm GNA be I'm going 39:17 to do I'm GNA do B celebrity 39:20 impersonations for a fee that's that's 39:23 how we're going to monetize this bad 39:25 boy 39:31 that's pretty funny um huge limiter men 39:34 fighting so we can't have nice things 39:36 yeah don't disagree with that yeah yeah 39:38 men being [ __ ] I think I 39:42 think some limiting factors will 39:46 be centers of 39:51 power actively resisting what's coming 39:54 because they're going to realize 39:58 what's coming is going to [ __ ] with 39:59 their business model get your smart 40:01 pants we're about to take off yeah 40:03 exactly exactly 40:07 bran normally if we work with Bri work 40:10 for British hours we like to wear smart 40:14 puns 40:16 um yes yes 40:19 indeed yeah I think there's going to be 40:21 a lot of resistance to this AI stuff 40:23 they're going to demonize it um they're 40:26 going to dismiss it the problem with 40:29 dismissing it is it's already getting 40:31 powerful enough that I think I think 40:34 companies and people are 40:36 realizing 40:38 um we can't really dismiss this but if 40:41 we accept 40:44 it it's a threat to our business model 40:46 and I can talk more about that how do 40:48 you think the government will react when 40:50 we hit AGI Panic 40:55 um I don't know I don't know I I think 41:00 that the fact that that Biden put out 41:02 the 122 page executive order is 41:05 promising I've got a i' I built a GPT 41:08 that if you want to understand the 41:09 executive order I built a GPT that you 41:11 can you can ask all about it um which I 41:15 shared on the AI Salon 41:18 um I think I did it in the show in tell 41:21 Channel um so if you just if you just 41:23 look for that there um 41:28 so I so I think the fact that 41:32 um that that there's awareness at the 41:35 highest level that this is important is 41:37 is 41:39 good 41:41 um the government doesn't understand 41:45 WiFi so so 41:49 um and the government's not good at 41:51 moving 41:53 fast so so it's absolutely possible that 41:56 there's going to be some Panic you know 41:59 if we hit AGI or if it's declared or if 42:02 some version of it is rolled 42:05 out 42:07 um I don't know I like 42:10 I we're in such a like we're living in 42:14 an episode of black mirror right now 42:16 Obama is currently in charge of AI yeah 42:19 he's he's he's one of the senior 42:21 advisers on it I don't know if he's in 42:22 charge of it but he's one of the senior 42:24 advisers for for what to do with it you 42:26 know he's a thoughtful guy he's really 42:28 smart he's internet Savvy like that's 42:31 good like you're going to need some some 42:32 smart people right so if it's Obama 42:35 he'll build a network of people that 42:37 have their [ __ ] together some artists 42:39 and writers are seething still listen 42:41 people are going to be seething it 42:45 I I've written seven screenplays like I 42:48 know that world well I have a degree in 42:50 acting right I moved to New York City 42:52 out of school to pursue a life in the 42:53 Arts most most of my friends from back 42:56 then 42:57 are in that 42:58 business um I have students take moral 43:01 vocal stands against AI in my class 43:04 Christopher Ramsey the younger Jen 43:06 hasn't bought in listen I I agree I've 43:09 got 23-year-old twin boys who have not 43:11 bought in they they could give two shits 43:13 about it they're they're not actively 43:15 against it they're very cynical about it 43:20 um you can take a moral stand all you 43:23 want this channel why I do these lives 43:27 is whether you take a moral stand or not 43:31 whether you I wrote a play over the 43:33 summer Kyle very cool lunar stick 43:37 um whether you um agree with it or not 43:41 whether you love it or hate it whether 43:45 um you're completely ignorant of it it's 43:48 here and it's not going away and it's 43:51 getting stronger and better dramatically 43:55 fast and 43:57 we ain't seen nothing yet 44:00 apparently if the if the if the rumors 44:03 of of sort of what's been put out there 44:05 or are 44:07 true 44:09 that 44:12 the 44:15 um they kind of slow 44:18 [Music] 44:19 rolled the qar stuff they actually 44:22 stopped it before it started improving 44:25 itself 44:27 because if if AGI comes and they start 44:33 having the system improve the system 44:37 then things get really powerful really 44:39 fast now there's pieces of that that are 44:41 remarkable because we start doing things 44:43 like curing diseases really fast and 44:46 curing scientific problems really fast 44:48 and curing economic you know um 44:52 disparity models really fast or societal 44:54 models really fast 44:57 but that's going to break a bunch of 44:59 [ __ ] and so I don't think anyone's 45:01 prepared for that so I don't know I'm an 45:03 artist and I think it's amazing so so 45:05 Otto here's here's the thing that that 45:07 I've seen 45:09 um almost all of the artist friends that 45:13 I know who have tried it are finding new 45:17 ways to express themselves with it and 45:20 and they find it remarkable and then 45:22 some put boundaries in place right so 45:24 I've got one of the one of the women 45:26 who's an organizer for the AI Salon Jane 45:29 she's a writer and she's she she writes 45:31 professionally and she uses AI for 45:33 writing you know all the time and and 45:36 you know it's remarkable and she's like 45:37 I can't imagine doing my job without it 45:39 now but she draws a line she won't do 45:42 her personal creative writing with AI 45:45 That's like a Sacred Space for her so I 45:46 think some artists are finding 45:48 boundaries like what's in what's out 45:51 where can I use it where can I not use 45:52 it other artists are just going [ __ ] it 45:55 I will never use it I'm taking a stand 45:58 and that's where the where the wga 46:00 started was [ __ ] AI 46:02 right they then came around and the new 46:05 Writers Guild contract says we can use 46:08 AI but you can't use AI to replace us is 46:10 effectively what it says it makes you 46:12 think as an artist in a different way 46:14 it's hard to describe I totally agree 46:16 with that like thankful Jones that's 46:18 that's exactly that's exactly what it is 46:20 for me is and and it's funny when I when 46:24 I first started this channel PE a lot of 46:26 the questions I got were well if it's so 46:28 creative doesn't it make you less 46:30 creative and the reality is is no it 46:32 actually makes you more creative because 46:35 you can get ideas out of your head 46:37 faster and in some form of um 46:42 articulation really really quickly and 46:45 what I found is that chat GPT can get me 46:48 to like 80% like that and then the last 46:52 20% like if I get really good at 46:55 prompting and get it really dialed in it 46:57 can get me to like 85% or maybe 90% it 47:00 it almost never gets me to the Finish 47:02 Line um but I get 10 ideas out of my 47:08 head that never would have seen the 47:10 light of day historically and so what 47:12 it's doing is it's just it's it's like 47:14 writer block as a thing of the past 47:18 um my my ability to like my confidence 47:23 the the whole sort of crazy straw of 47:27 creativity and and being neuros spicy is 47:31 is that there's a lot of Shame and 47:34 imposter syndrome and and that sort of 47:35 [ __ ] right and what I found with the 47:38 AI stuff is that 47:41 it it kind of erases that like it's just 47:46 like like you don't have to really 47:50 confront well you know I'm not I'm not 47:52 really good at drawing so that idea for 47:54 that card game would wouldn't be good 47:56 I'd have to go get someone that was good 47:58 at drawing and now I can just have a 48:00 card game and now I can put it out there 48:02 and you know I can't do creative writing 48:06 with it but man do I love its editing 48:09 capabilities and ability to argue yep 48:12 exactly like again that's what what my 48:15 what my strong strong recommendation 48:17 here is start playing with these tools 48:19 and figure out where the boundaries of 48:21 the technology are like what's it good 48:23 at what's it not good at what right and 48:25 then figure out where the boundaries of 48:28 your personal work is right there might 48:32 be some things that you're like oh I'll 48:34 absolutely use it for project management 48:36 but I would never use it to generate art 48:38 because I love illustrating great then 48:40 carve that out and don't do that but use 48:42 it for all this other stuff yep I use it 48:45 for storyboarding for the video process 48:47 yeah 48:48 exactly 48:50 um yeah and and you can take like I I've 48:53 done this now a couple of times where 48:54 I've taken projects that were mothballed 48:58 for 48:59 decades and I was like oh let me pull 49:02 out that half a screenplay I started and 49:05 then and then like within 10 minutes I 49:07 had an outline finishing the screenplay 49:10 and I was like oh that's pretty good I 49:12 could actually finish 49:14 that amazing I want to be my own artist 49:16 why does my creativity have to stop 49:19 where artists Define 49:22 it absolutely it's we're seeing that so 49:25 so Broody you've you've been coming here 49:27 a fair amount now like so you're you're 49:29 uh you are quickly becoming an irregular 49:31 so the people that show up regularly um 49:34 have named themselves the Irregulars and 49:36 that's that's the the real criteria for 49:38 being an irregular is just [ __ ] show 49:40 up but what's happening is a lot of the 49:43 Irregulars are are completely 49:45 Reinventing themselves and what they 49:47 enjoy and what they're good at and what 49:49 they where they're finding they've got 49:51 skills where they never thought they'd 49:53 have 49:54 skills and that's absolutely remarkable 49:58 right and and to your point like why why 50:03 have boundaries we now have a tool that 50:07 can let us level up in the areas that we 50:09 sucked at 50:11 before and then what we can do is just 50:13 think creatively 50:15 horizontally knowing that the tool can 50:18 do some sort of execution on all the 50:19 vertical Specialties just me in the 50:22 trees that's why it's so important for 50:23 teachers to start learning and how to 50:24 teach students to use it 50:27 absolutely absolutely just me and the 50:29 trees this is it's so funny at the 50:31 beginning of the year I was kind of 50:33 agnostic 50:35 about education and I'm like well if if 50:38 Educators don't want to do it that's 50:39 their prerogative and if they want to 50:41 block 50:41 it and and now I'm just like 50:45 no no Educators need to get their [ __ ] 50:49 together 50:52 and understand that 50:54 that 50:56 I mean even if you're just dealing with 50:58 college the world that freshmen today 51:02 are going to enter in four years is not 51:05 going to resemble the world that we're 51:06 in right 51:07 now so freshmen today are being taught 51:11 things that are going to be Irrelevant 51:14 in four years a lot a lot of the things 51:17 but there's going to be new skills that 51:20 are going to be absolutely in 51:22 demand and so I I think it's imper ative 51:27 for educational institutions to learn 51:30 this stuff to get curious about it and 51:34 to start like for me the big skill 51:37 moving forward is critical thinking and 51:39 so to the extent that you're not 51:41 actively teaching and not even teaching 51:44 critical thinking that you're not 51:47 actively exploring critical thinking 51:49 with these tools you're doing our future 51:52 a disservice I'm in training to be a 51:54 clinical psychologist and trying to 51:56 build tools to expand extend my presence 51:59 so sunshower I think that um so if you 52:01 haven't played with it yet go go play 52:05 with so there's an app called Pi this is 52:09 my 52:09 iPad and so go to 52:13 Pi and then you'll see you know it's 52:16 just like a normal chat gbt like thing 52:19 and it'll look like that when you log in 52:21 and then you can you can talk with it 52:25 but in the lower right hand corner you 52:27 see where it says Pi if you click on 52:30 that there's two modes for it now one of 52:34 them is pi just PI right the old one and 52:39 one of them is support 52:42 pi and support 52:46 Pi is like a 52:49 therapy fine-tuned version of Pi and 52:53 then the other thing you can do with pi 52:55 is you can put it into into conversation 52:56 mode so see that little thing right 53:03 there can you describe support pi to me 53:06 and how it's different than normal 53:14 Pi haha you're really hitting me with 53:17 some great questions support p is a new 53:19 in Creative term you just coined support 53:22 p is not a real thing but let's role 53:24 play like it 53:31 no I mean the pi model Pi that you're 53:34 based on there's two different modes 53:36 there's just pi and there's support Pi 53:39 can you talk about what support Pi 53:45 [Music] 53:48 is ah now I understand what you're 53:50 asking you're correct that there are two 53:53 different modes of the P model there's 53:55 the general information mode or just P 53:57 mode and there's the support mode which 53:59 you've been referring to as support P 54:02 the general information mode is designed 54:04 to give accurate comprehensive 54:05 information on any topic you can think 54:08 of whereas the support mode is more 54:10 focused on providing emotional support 54:13 empathy and companionship the support 54:16 mode so so if if you're trying to Fig so 54:19 there's two two things I would do so 54:21 that's Pi I would explore that and then 54:25 the gpts So within chat GPT you can make 54:29 a GPT that can take your philosophy of 54:33 how you want to do therapy and let's say 54:35 you've written a paper on it and you 54:37 want to do your therapy based on your 54:39 you know your dissertation or whatever 54:41 it might be you can use that as 54:43 knowledge to build your own custom GPT 54:45 where someone could interact with a 54:48 version of you and then chat GPT also 54:52 has conversation mode so on the right 54:54 hand side you can also put chat 54:57 GPT into a similar conversation 55:05 mode absolutely let's continue our 55:08 conversation how did you feel during 55:10 these different moments in your dream so 55:13 for example were you amused scared so 55:16 this was a GPT that I made called Dream 55:18 Weaver that's a dream analysis tool and 55:20 so I can have a conversation with 55:23 Dreamweaver and tell it my dream and 55:25 it'll do a whole analysis and even 55:27 visualize it Otto got to got to go eat 55:30 later everyone later Otto thank you for 55:32 coming thank you for hanging 55:33 out 55:36 um all right let's see are there any 55:39 copyright issues to worry about if GPT 55:41 helps you write your screenplay I don't 55:44 think so I mean if if 55:48 listen it's it's on you to not be a 55:52 douche right if if you just say you know 55:56 give me the give me the plot for Star 55:58 Wars and you know make it a western and 56:01 change all the character names then you 56:04 know if you just you know do something 56:06 like that then you're setting yourself 56:08 up for uh a problem but just using it in 56:11 general based on the training I don't 56:12 think so in fact a number of the 56:15 lawsuits where where people are doing 56:17 these class action lawsuits you know 56:19 suing based on content that was used in 56:22 training a lot of those are being um 56:26 tossed out by judges so I I I wouldn't 56:29 worry about it right now I I think that 56:32 IP attorneys are going to be suing each 56:34 other both directions for the next 20 56:36 years so at some point some precedent is 56:39 going to be set that'll that'll do for 56:42 AI what happened with hip hop and 56:44 sampling music in the 80s and 90s where 56:47 where we sort of landed on some version 56:48 of fair use and how people get 56:50 compensated and attribution and things 56:53 like that so some some version of that 56:55 will happen and and there will be tools 56:57 that come out that support it in fact um 57:02 YouTube I just saw a new tool that 57:04 YouTube's got that 57:07 um if you're doing a YouTube short you 57:10 can create custom background music for 57:12 your YouTube short in the style of 57:15 Charlie poth or Tay right so they've cut 57:18 deals with Charlie poo and P T where um 57:23 it'll generate the song that sounds like 57:24 Charlie po wrote it and and it's singing 57:27 and it sounds like him he's probably 57:29 getting paid every time someone 57:31 generates a song um so there'll be all 57:34 sorts of different new new kinds of 57:36 models that come out that'll deal with 57:38 it so but I wouldn't worry about it 57:39 right now just don't go steal you know 57:41 don't go blatantly steal [ __ ] because 57:43 then you'll just set yourself up for a 57:45 for you know trouble um I wonder how 57:48 this can be used to benefit the trades 57:50 I.E construction so anywhere Jerry G 57:52 anywhere where you've got um 57:59 computers 58:02 mediating a 58:05 process is is is going to be set up for 58:08 you you can do all sorts of interesting 58:10 things um so it could be 58:15 um finding ways to do construction 58:18 project planning more efficient more 58:20 efficiently you could you could upload a 58:23 spreadsheet of the last job 58:26 and say you know do some analysis on say 58:29 how can AI be used in construction what 58:32 I would say is this what are problems 58:34 that you're trying to 58:36 solve start with that and say okay if I 58:38 could solve this problem that that would 58:42 that's a major pain point for us and if 58:45 that problem in any way can be used as a 58:48 computer or could use a computer um then 58:51 you could say okay how can I use AI to 58:53 solve that problem and and then you'll 58:55 likely find ways to do it very very 58:58 quickly cuz you can just go to chat GPT 59:01 or any of these other things and just 59:03 say here's the problem I'm facing here's 59:05 how I currently deal with 59:07 it help me come up with a strategy to 59:11 make that better and it will and then 59:13 you'll get inspired you'll be like oh 59:15 and then you'll ask it some more 59:16 questions just think of it kind of like 59:18 you've got a business 59:20 consultant at the ready you have to give 59:22 it lots of instruction you have to give 59:24 it lots of Direction 59:25 but it knows 59:28 everything you can ask for specific NE 59:31 NEC code sections for electrical it's 59:33 pretty cool yeah we uh so my my 59:36 co-founder of my current business 59:38 storyvine she's got a shitty 59:41 construction site next to her house and 59:44 this construction company is just 59:46 they're just violating codes like 59:48 multiple times a day they're just 59:50 they're just shitty and they don't care 59:53 and and so we buil bu her we took the 59:56 Denver building codes website and we 1:00:00 built a GPT so she now has a GPT that 1:00:03 she can use to basically say here's what 1:00:07 they did today is is that um is that 1:00:11 against 1:00:13 code so Kyle come in please come in 1:00:17 where to he gone oh froze come 1:00:22 back the model is being tweaked can you 1:00:24 hear 1:00:25 am I good now tap the tap the hearty 1:00:28 Hearts if you can hear 1:00:31 me okay I'm seeing 1:00:34 aart you're back okay I'm back 1:00:38 cool I don't know what I was saying 1:00:42 um yeah yeah you can do code stuff you 1:00:45 could 1:00:47 do um one of the guys at the building I 1:00:51 work work for created a thing called 1:00:53 maintenance mentor 1:00:56 that um would would do like you know if 1:00:59 you have questions about the a AC or the 1:01:02 heating or Plumbing or electrical it 1:01:05 will help you troubleshoot problems 1:01:06 within the building um so you can it's 1:01:09 just it's kind of endless so again where 1:01:11 I would start is start with the problem 1:01:13 you want to solve first and then go see 1:01:17 how much chat GPT knows or or any of 1:01:19 these tools how much they know um they 1:01:22 will likely surprise you at how good 1:01:24 they are 1:01:25 especially things like construction 1:01:27 there's so much been written on it 1:01:28 there's so much that's been on the 1:01:30 internet about it that it just kind of 1:01:34 assimilates all that information and it 1:01:36 kind of knows everything it's pretty 1:01:37 remarkable how many gpts have you made 1:01:40 I've probably 1:01:42 made I don't know 25 or 30 most of them 1:01:45 I've made live on on on this channel um 1:01:48 we can make one now if you 1:01:50 want um if someone has a specific thing 1:01:53 they want to do I'm happy to do that 1:01:57 hope you have a good holiday Kyle with 1:01:59 your gpts thank you your company 1:02:03 co-founder is my hero oh that's so cool 1:02:06 my 1:02:07 Shiro Monique's 1:02:10 amazing yeah no Monique and I we we knew 1:02:13 each 1:02:14 other I don't know five or six years 1:02:17 before we started storyvine and I was 1:02:19 Consulting with her she had started a 1:02:21 social media 1:02:23 agency and I was Consulting with her on 1:02:25 that and that ended up kind of falling 1:02:27 apart and there were kind of you know 1:02:29 founder issues and things like that and 1:02:31 so I knew she was available and I knew I 1:02:33 wanted to start story Vin and so I 1:02:34 called her up and said hey I've got this 1:02:36 idea you know do you want to start it 1:02:39 cuz I knew she was good at the [ __ ] I 1:02:41 wasn't as we describe our relationship 1:02:43 Becky I'm the hand wavy guy and she 1:02:45 keeps the trains running on time um and 1:02:49 and you know it's been it's been a 1:02:51 really really really good partnership 1:02:53 and if you started companies before 1:02:56 finding good partners is almost 1:02:58 impossible teaching autistic and add 1:03:01 math please do it oh teaching autistic 1:03:04 and add math for for for a GPT we can do 1:03:08 that that would be a good one 1:03:12 um yeah yeah we can do that I'm trying 1:03:15 to think are there 1:03:17 any if you've got any 1:03:19 sources we we'll we'll we'll make one 1:03:21 without sources right now and then I'll 1:03:23 show you how you could improve with 1:03:25 sources so let's go make a GPT he 1:03:27 creates so right now cam on on Mighty 1:03:31 networks um if you go to show and 1:03:35 tell okay hang on a 1:03:38 sec oh wait hold please 1:03:43 hold so I'm in the showand tell channel 1:03:47 on Mighty networks 1:03:49 right and in the lower right that's how 1:03:51 you add a post to show and tell 1:03:58 and then it actually just prompted that 1:03:59 see where it says the hashtag thing so 1:04:03 when you create a 1:04:07 post you bring up a list of 1:04:13 hashtags can you see it oh come on there 1:04:16 you go well they're down there see that 1:04:18 one hashtag is gpts so if you tag your G 1:04:22 you you tag your post in show and tell 1:04:24 with GPT you can then go um sort 1:04:29 by all the hashtags so so there's like a 1:04:32 pull down menu where you can say show me 1:04:33 all the ones that are tagged with GPT 1:04:35 it's not a perfect way so we we might 1:04:38 improve that but right now how we're 1:04:39 handling it is with hashtags so share it 1:04:42 in Show and Tell and just tag it just 1:04:44 tweak my GPT if you want Kyle 1:04:49 oh that's right 1:04:52 Pate so pate's got I we don't you know 1:04:55 what I think what I'd rather do is point 1:04:57 them to your so whoever just said to 1:05:00 create a 1:05:01 GPT um for autistic uh and add 1:05:07 students um on the channel Pate is a is 1:05:11 a a he's a swell guy works at Google he 1:05:16 heads up the AI mechanics Guild on the 1:05:20 AI salon and he 1:05:23 created a 1:05:25 GPT for for you know in that 1:05:29 neighborhood and so that could be 1:05:31 modified so let me go to chat GPT here 1:05:34 hang 1:05:35 on now I think did I look at it I'm sure 1:05:39 I looked at it here 1:05:43 recently explore hang 1:05:53 on recently 1:05:59 used where is it P what's it called 1:06:02 again top of the hourish Irregulars 1:06:11 present ask 1:06:18 Mary 1:06:20 H I don't know how to 1:06:23 see 1:06:26 unambiguous Ally or Aly Ally hang 1:06:31 [Music] 1:06:33 on delete 1:06:48 post hold 1:06:53 please 1:07:01 search and M big 1:07:10 us all right if you go to go to go to 1:07:14 Mighty networks and find it yeah if you 1:07:17 go to the AI Salon Mighty networks and 1:07:19 search for unambiguous 1:07:21 Ally this is the GPT that Pate wrote 1:07:25 for 1:07:27 empowering neuros 1:07:30 spices all right um so that's a good one 1:07:35 so let's let's do something else since 1:07:37 since that one's already built like 1:07:38 that's a good one and I actually want to 1:07:39 support that one because I feel like 1:07:42 you've got a vision for that pain so USA 1:07:45 loves Tik Tock okay all right no picture 1:07:49 must 1:07:50 pass what do you mean no picture must 1:07:53 pass I don't know what that means 1:07:55 what do that 1:07:56 [Laughter] 1:08:03 man who did this 1:08:06 one who did this darling 1:08:11 Rober that's just rude it's true but 1:08:14 [Laughter] 1:08:18 rude oh 1:08:21 man the Curiosity hamster wheel that's 1:08:24 pretty 1:08:26 fun all right so let's go let's go make 1:08:29 another one um what do we want to make 1:08:31 for a GPT uh uh give me another give me 1:08:34 another topic we'll we'll do one on the 1:08:36 Fly here feel free to try it out and 1:08:39 provide feedback it's already been 1:08:41 improved thanks to the community that's 1:08:43 awesome Pate that's really 1:08:46 cool um which is completely different 1:08:49 than the 1:08:50 androgynous 1:08:53 Ally 1:08:55 uh wait crit faced can you show us how 1:09:01 you use it to 1:09:03 storyboard um I haven't used it to 1:09:06 storyboard but we can certainly do that 1:09:07 let me go that that might be a fun thing 1:09:09 to do all right so let's go do that so 1:09:12 we're going to go to um here's chat 1:09:17 GPT 1:09:20 um I'm in chat gp4 mode so one one of 1:09:24 the things if if you haven't used chat 1:09:27 GPT a lot um chat GPT is now multimodal 1:09:31 meaning you can upload images you can 1:09:38 um you can generate images you can 1:09:41 upload 1:09:42 um spreadsheets and CSV files and it can 1:09:46 analyze them it can it can write things 1:09:48 so one of the things I'm going to do 1:09:50 here is I'm going to 1:09:53 go I'm going to upload a screen 1:10:03 [Music] 1:10:15 play that's Microsoft Word I'll just 1:10:18 I'll upload the text version of it all 1:10:20 right so here's a this is a screenplay I 1:10:22 wrote in 1990 one or two called salmon 1:10:26 flying 1:10:28 East and 1:10:30 so um so one of the things I'm going to 1:10:32 do is I'm going to 1:10:39 say please 1:10:42 write a 1:10:44 compelling Hollywood log line that is 1:10:48 the elevator pitch for this 1:10:51 screenplay period 1:10:55 act as if you're a high-powered 1:10:58 Hollywood agent and make sure 1:11:04 that anyone that hears this will want to 1:11:07 make this 1:11:10 movie so so so log lines are especially 1:11:14 if you if if you write the screenplay 1:11:15 writing log lines about it are almost 1:11:17 impossible cuz you can't separate what 1:11:20 you know is wrong with the screenplay 1:11:22 from from the marketing piece of it so 1:11:25 let's see what it comes up with salmon 1:11:27 flying East in the misty docks of 1991 1:11:30 Gig Harbor Jack a rugged fisherman 1:11:33 haunted by his Vietnam War past grapples 1:11:36 with shadows of memory and longing of a 1:11:38 life he can't reclaim when his path 1:11:41 crosses with ping a striking Vietnamese 1:11:43 woman entwined in his wartime memories 1:11:45 Jack's quest for Redemption takes a 1:11:47 dramatic turn as Jack as Jack navigates 1:11:51 the treacherous Waters of his past and 1:11:53 present he finds him himself Torn 1:11:54 Between the ghost of his love lost in 1:11:57 Vietnam and the reality of his solitary 1:11:59 life blah blah blah okay this is so the 1:12:02 content may violate our content policy 1:12:04 because probably because it talks about 1:12:05 war um that's great can you make it much 1:12:10 shorter and 1:12:14 punchier I'll just leave it that see 1:12:16 what it 1:12:22 does 1:12:25 all right a haunted Vietnam vet and 1:12:27 rugged fisherman in 19901 Gig Harbor 1:12:30 confrences w war torn past when he 1:12:34 reencounters ping a figure from his 1:12:35 Vietnam days and past and present 1:12:38 Collide Jack search for Redemption and 1:12:41 peace propels him on a thrilling journey 1:12:43 through love loss and the Quest for 1:12:44 healing I'm going to say 1:12:48 um give me a log line that 1:12:51 compares this screenplay to two 1:12:55 different movies meeting one 1:12:58 another I don't know if it'll understand 1:13:00 what that means like Jaws meets 1:13:04 Rocky we'll see what it comes up with 1:13:07 what I what I find about chat GPT is it 1:13:09 tends to be um way better at 1:13:11 understanding me than I am like I don't 1:13:15 understand what I say half the time 1:13:17 salmon salmon flying East is where the 1:13:19 deer hunter meets a river runs through 1:13:21 it oh that's kind of cool a poignant of 1:13:24 a Vietnam veteran fishing uh veteran 1:13:27 fisherman wrestling with his past 1:13:28 entangled in a haunting romance that 1:13:30 Bridges the turbulent Waters of War and 1:13:33 the Serene struggles of life back home 1:13:36 that's cool that that sounds that that's 1:13:38 in the neighborhood so now I'm going to 1:13:40 say 1:13:41 okay okay great now I'd like you to 1:13:43 create a list 1:13:52 of visual ual scenes from the 1:13:58 opening of the 1:14:01 movie period describe them as if they 1:14:04 were a 1:14:09 storyboard period in fact create a 1:14:14 table where one column 1:14:17 describes the 1:14:19 action and the next column describes 1:14:23 what's going on 1:14:31 visually all right scene one Gig Harbor 1:14:35 Docks pre-dawn a foggy Serene Gig Harbor 1:14:38 the camera slowly pans across the glassy 1:14:40 water of the Puget 1:14:42 Sound fishing boat interior Jack's 1:14:45 morning 1:14:47 routine Jack steps out of the boat onto 1:14:49 the dock all right so great so this is 1:14:53 so this is now this is now reading my 1:14:56 screenplay and and pulling the visuals 1:14:59 from 1:15:01 it flashback to a crowded bar in 1:15:15 Vietnam so let me say 1:15:22 so great I'd like to start storyboarding 1:15:26 this so I want you to 1:15:29 create 1:15:31 16x9 wide 1:15:34 orientation 1:15:38 images one per 1:15:42 scene 1:15:45 period I'd like the style to 1:15:47 be loose 1:15:52 watercolor in 1:15:55 style but that clearly 1:16:00 indicate what the camera 1:16:03 sees 1:16:04 and what 1:16:09 lens should be 1:16:12 used period why don't we start 1:16:19 with scene one to get the style dialed 1:16:27 in and and so notice what I'm doing here 1:16:32 is while I'm technically prompting this 1:16:35 isn't really prompt engineering right 1:16:37 you keep hearing this term you got to be 1:16:39 a prompt engineer and prompt engineering 1:16:41 is going to be big and prompt 1:16:43 engineering prompt engineering all that 1:16:45 does in my opinion is intimidate people 1:16:48 to not want to deal with AI at all I 1:16:50 don't want to be an engineer I'm not a 1:16:52 PR engine I don't even know what a 1:16:54 prompt is and now I got to engineer it 1:16:57 no no what you actually have to do is 1:16:58 just 1:16:59 talk you just you just talk your words 1:17:02 now could I use prompt engineering to 1:17:05 get things better sure I could 1:17:07 absolutely do 1:17:08 that um so there's my thing okay that's 1:17:19 great okay that's terrific but I don't 1:17:23 want the splattery edges period I want 1:17:27 the image to go all the way to the edge 1:17:30 of the frame 1:17:36 period I'd also like to create two 1:17:45 distinct color 1:17:48 grades one for the present which is more 1:17:52 saturated 1:17:54 and vibrant and one for the 1:17:58 past that captures the fog of 1:18:03 War 1:18:07 period let's 1:18:11 create two images one for the 1:18:15 present and one from a scene from the 1:18:20 past so I can compare them 1:18:24 all right so it like it already hit me 1:18:27 that this looks pretty cool but it would 1:18:30 it would also be cool to have you know 1:18:31 the past look like the past you know how 1:18:34 films 1:18:36 do but but like but what I'm doing here 1:18:39 is just I I am acting kind of as a 1:18:42 director kind of as a writer kind of as 1:18:45 an art director kind of as a creative 1:18:47 director that's way too colorful so we 1:18:50 hate that and we will tell it them we 1:18:53 hate 1:18:57 that but that does look like Gig 1:19:00 Harbor which is amazing 1:19:05 actually and so now it's creating 1:19:07 there's the one from the past right so 1:19:10 listen at a minimum it kind of got that 1:19:13 you 1:19:13 know there's your present there's your 1:19:16 past 1:19:19 right so now I'm just going to say 1:19:22 you've got the right idea but the images 1:19:25 still 1:19:27 have blotchy edges rather 1:19:31 than the image going all the way to the 1:19:34 edge of the frame period 1:19:37 also the saturated image is way too 1:19:41 vibrant period it should still look like 1:19:43 a 1:19:46 film but be more saturated than the 1:19:49 images from the past 1:19:51 period why don't we put 1:19:54 an olive green Hue on the color grading 1:19:58 from the images from the 1:20:00 past and 1:20:04 a soothing blue hue for the images from 1:20:08 the 1:20:10 present let's see what that 1:20:17 does make it as an elevator pitch for a 1:20:19 David swimmer single dad 1:20:21 sitcom exactly we could do 1:20:24 that well that's I mean that's the thing 1:20:27 I could take I could absolutely take 1:20:29 this 1:20:30 screenplay and have it rewrited as a 1:20:32 comedy like give me a new outline with 1:20:34 this is a comedy and then use the 1:20:37 writing style of how this is written and 1:20:40 let's let's turn this into a comedy you 1:20:43 could absolutely do 1:20:46 that all right there's our blue hue 1:20:49 again that looks like Gig Harbor in fact 1:20:53 that actually looks like where my dad 1:20:56 had a boat that looks like where where 1:20:58 we exited that looks like Point Defiance 1:21:01 and there's the there's a Narrows Bridge 1:21:03 right there like this actually looks 1:21:06 familiar to me that's 1:21:09 crazy there you 1:21:12 go so there's your two different styles 1:21:15 it still doesn't quite get that I don't 1:21:16 want these blotchy edges but that's all 1:21:18 right so so we'll say fine so 1:21:22 say 1:21:30 great now can you make an image for each 1:21:35 scene using our new color 1:21:44 grading 1:21:46 framework based 1:21:48 on whether the scene is in the present 1:21:51 or in the past 1:21:54 and it should just start doing it should 1:21:56 just start going through and 1:21:58 doing why are those lines in that 1:22:01 orientation the I what it did Pate these 1:22:04 these lines you mean the these are film 1:22:07 strip 1:22:10 sockets it it it realized it was a film 1:22:13 so it made it like like this is what the 1:22:16 frame of film's going to look like but 1:22:17 the the sprocket holes would be down the 1:22:19 left and right not across the top it's 1:22:21 listen it's trying 1:22:26 this like I said I gave it you know I 1:22:29 gave it some shitty prompts you know I 1:22:31 talked before about don't be a prompt 1:22:33 engineer but obviously I would need to 1:22:35 be a bit more specific about the 1:22:39 style all right let's see is that scene 1:22:44 one what's scene 1:22:47 one scene one a foggy Serene Dawn at Gig 1:22:51 Harbor inside the r fishing boat cabin 1:22:54 okay so that's scene two so let's see so 1:22:58 that is scene one which is 1:23:00 right that's scene 1:23:03 two there's Scene Three Jack's 1:23:12 up this is 1:23:14 good who suggested this this was a good 1:23:17 idea no this is really good that is 1:23:19 totally what the docks looked like 1:23:21 although these are more like Easter in 1:23:23 fishing boats the the Ducks where where 1:23:26 my dad had a fishing boat was in uh they 1:23:28 were more modern boats but but like that 1:23:32 looks very familiar although the dock 1:23:33 kind of ends right there it's pretty 1:23:36 funny there he is at the what was scene 1:23:39 four was so wait what was scene 1:23:45 four Jack emerges on the docks the baate 1:23:48 shop inside de baate shop Jack greets 1:23:51 Martha the owner's wife 1:23:53 Jack prepares for 1:23:54 fishing this is 1:23:57 good I've never I've never done this on 1:23:59 my own screenplay before but I mean holy 1:24:02 crap like look at this he's obviously 1:24:05 not preparing that that's after they 1:24:07 caught something although I guess that 1:24:09 could be bait but he's he's salmon 1:24:11 fishing those should be 1:24:13 smaller all right there we go into the 1:24:15 past so he's cutting bait and 1:24:18 remembering the 1:24:20 past like I I mean you can just you can 1:24:23 almost hear it right 1:24:25 like this is 1:24:28 cool oh I'm going to do one one other 1:24:30 one final thing 1:24:33 here I think it can do 1:24:35 this let's let it keep 1:24:38 going so wait that was preparing bait 1:24:41 what was that 1:24:43 one that was flashback to the Vietnam 1:24:46 War abrupt transition to a helicopter 1:24:48 flying 1:24:49 low Jack back in the present flashback 1:24:52 to a crowded 1:24:54 bar so so we have some back and forths 1:24:56 now between the past and the present all 1:24:59 right so he's he's at the bait shop now 1:25:01 he's preparing to go out now he has that 1:25:04 flashback now he's getting ready to go 1:25:06 out now he has that 1:25:09 flashback look at that I mean this is 1:25:11 amazing there was an 1:25:14 error oh generating response I don't 1:25:16 want to regenerate all 1:25:18 this 1:25:21 h is it going to start 1:25:26 over yeah it's going to start over we 1:25:29 lost all that oh that sucks anyway what 1:25:33 I what I would then do what I would then 1:25:36 do is you could tell it to take that 1:25:40 table and all those images and put it in 1:25:43 an Excel file and so it can actually 1:25:46 generate a a 1:25:51 uh let's see 1:25:56 it could actually generate a um a 1:26:00 storyboard for you in an Excel 1:26:03 file this is wild isn't it it's a movie 1:26:06 yeah oh and actually you know what we 1:26:08 could do now holy [ __ ] I should do 1:26:13 this because I could take all those 1:26:15 scenes into 1:26:17 um I could take all those scenes into 1:26:20 into Runway ml and and turn them into to 1:26:24 action and just do it with voice over 1:26:26 and stuff like 1:26:29 that hit the 1:26:36 2-2 to get the previous reply oh 1:26:40 really oh oh I see hang 1:26:43 on oh that's cool I didn't know you 1:26:45 could do that wait oh it's still 1:26:49 creating 1:26:50 images oh okay cool 1:26:53 so I didn't lose everything okay that's 1:26:55 something new I learned thank you 1:26:57 whoever said that who is that thankful 1:26:59 Jones okay so see see right here where 1:27:01 it's got one of three now it says three 1:27:04 of three so these are the new images 1:27:06 it's 1:27:08 creating there's Jack getting up I 1:27:10 actually like that shot better than what 1:27:11 it gave us before there he is on the 1:27:14 dock that that looks closer that's 1:27:16 that's in the neighborhood of of what it 1:27:17 looked like for 1:27:21 real this is just 1:27:25 trippy there he is meeting what's her 1:27:34 name any way to capture a receipt of a 1:27:37 user accessing my created GPT not right 1:27:41 now brother 52 so 1:27:44 um if you if you go to your um your 1:27:50 account and you go to my GP s when you 1:27:54 go to my gpts it will show you to the 1:27:56 right of the GPT how many people have 1:27:58 used it you can't click through and get 1:28:00 any more metadata on that I would assume 1:28:03 that when we get to when there's the GPT 1:28:06 store they're going to give you stats 1:28:09 and things like that um but but right 1:28:11 now it's just you can see how many 1:28:13 people have used it but that's about 1:28:17 it this is much much more Eastern tler 1:28:20 than Pacific salmon fisherman but that's 1:28:24 okay that's all stuff this is all stuff 1:28:27 like like that being a big tler is is is 1:28:31 is not right but like that's stuff that 1:28:32 you could fix you could say give me this 1:28:34 he should be cutting smaller bait than 1:28:36 this it should be on a modern boat there 1:28:38 shouldn't be a troller in the background 1:28:40 it should be you know Pacific Northwest 1:28:43 you know Puget Sound hills and mountains 1:28:46 or like the The Narrows Bridge or 1:28:48 whatever the hell they call that thing 1:28:50 how do you change the aspect ratio of 1:28:52 Imes you just ask for it you can say so 1:28:54 when I do when I make my videos for Tik 1:28:57 Tock reminders uh for the lives I just 1:28:59 say give me a 9 by6 image with this 1:29:03 subject that says AI learning Lab at the 1:29:06 top and then and then it makes it 1:29:07 vertical in this case I said make them 1:29:10 16 1:29:11 by9 wide you know wide 1:29:14 orientation that is so cool that it just 1:29:17 goes it it just it's it's remembering 1:29:19 all this 1:29:21 stuff all right each image captures it 1:29:24 um so so let me okay so now I want to 1:29:26 try something I want to 1:29:29 go okay great can 1:29:33 you create an Excel 1:29:42 file that has the 1:29:50 first seven scenes 1:29:56 from the table 1:30:00 above 1:30:02 and add a third 1:30:05 column where you include the 1:30:09 image you created 1:30:12 [Music] 1:30:14 here embed the actual image in the Excel 1:30:21 file now this 1:30:24 should so see where it says analyzing 1:30:27 here that's that's using a thing called 1:30:29 code interpreter and if you open this 1:30:32 what it's actually doing is writing 1:30:34 python code to to build this file that I 1:30:37 just asked 1:30:39 for so it's putting data into the into 1:30:42 the 1:30:43 things it looks like that's just that's 1:30:46 cell that's column 1:30:50 one there's column 1:30:52 two the 1:30:56 descriptions and then I I'm going to I'm 1:30:58 going to close this cuz I want to be 1:31:01 surprised to see if it actually does it 1:31:04 right I missed the first part of this 1:31:07 did he give it a story screenplay or 1:31:09 something and now 1:31:12 it's generating storyboards that's 1:31:15 exactly that's exactly what you're 1:31:18 witnessing so so let me go back to the 1:31:20 beginning while it's while it's making 1:31:21 that file so I uploaded a screenplay 1:31:25 that I wrote In 1991 or 2 I had to give 1:31:28 me a log line which was okay then I had 1:31:30 it make it shorter which was okay and 1:31:32 then I had it compare two movies it said 1:31:35 salmon flying East is where Deer Hunter 1:31:37 meets a river runs through it which is 1:31:39 that's a really good like someone would 1:31:40 go oh yeah that sounds good um then I 1:31:43 had it describe the first 10 scenes in 1:31:47 the in the movie like what what happened 1:31:50 and what the visual thing was 1:31:52 then I did a couple of passes of uh sort 1:31:56 of look and feel and then realized that 1:31:59 I wanted to do a look and feel where the 1:32:01 present was was kind of in color and the 1:32:03 past kind of had this funky Hue to it 1:32:07 and then I said now just uh give me the 1:32:11 scenes you know give me the images from 1:32:13 the scenes in that 1:32:15 spreadsheet and so it did the first 1:32:18 seven and let's see I've created an 1:32:21 Excel file with the first seven scenes 1:32:24 described including the action and 1:32:25 visual descriptions however embedding 1:32:27 the actual images into the Excel file is 1:32:29 not possible with my current environment 1:32:32 you can download the Excel file and man 1:32:34 manually insert them as 1:32:37 needed um let me try 1:32:40 something is there a way for 1:32:44 you to use the image command in 1:32:48 Excel and put the URL to each image in 1:32:51 there so that the Excel file itself 1:32:54 displays the image but it's pulling that 1:32:56 image from the 1:32:59 internet let's see if it's let's see if 1:33:01 it can think its way out of this 1:33:07 one and we can while it's doing that we 1:33:09 can go look at what it gave 1:33:15 [Music] 1:33:21 us 1:33:27 um okay yeah it didn't it didn't give us 1:33:30 even placeholders for the images 1:33:33 so 1:33:36 fail fail fail fail and you know what I 1:33:39 what I'm doing here is you know while 1:33:43 I'm in in theory teaching you like I'm 1:33:45 doing this for the first time I've never 1:33:47 done this before 1:33:50 so this is what I I would encourage all 1:33:53 of you to do is is don't think that 1:33:55 someone has the answers because the fact 1:33:58 is that everyone's trying to figure this 1:34:01 out and and this dear God why would you 1:34:04 bring Excel into this that's 1:34:12 great however you can manually only 1:34:14 embed the images yeah I know I can 1:34:16 manually embed them but I don't want to 1:34:18 let's see 1:34:20 um can you give me a list of the URLs 1:34:24 for each of those 1:34:29 images certainly here's the URLs okay 1:34:33 great oh but they're 1:34:46 broken those URLs do not 1:34:50 work wait 1:34:54 those URLs do not work can you please 1:34:57 provide URLs that do 1:35:05 work NOP it can't placeholder URL all 1:35:08 right well they're broken 1:35:11 anyway so so yeah there's your things 1:35:13 and then this this new thing where you 1:35:15 can take the you can go back in time is 1:35:19 that's new to me so let me show you that 1:35:21 again if you were not here so this 1:35:24 is this is the second batch of images 1:35:27 some of these I like okay but some of 1:35:29 the original ones it did were really 1:35:30 good so see where it says three of three 1:35:33 here that means three of three answers 1:35:36 for this particular prompt so I can go 1:35:38 back to the second version of that where 1:35:40 I stopped it and the first version and 1:35:43 here are the images that it created like 1:35:45 I love that one although I did like the 1:35:48 one with the the alarm clock in the 1:35:49 foreground so maybe do you'd sort of 1:35:52 combine those two then that's really 1:35:54 good he's smoking a cigarette in his 1:35:58 boat he's going out he's at the bait 1:36:01 shop there's supposed to be a woman here 1:36:03 so we that's something we'd fix there 1:36:06 he's cutting bait that bait's too big 1:36:07 but that's okay we'd fix that there's 1:36:09 his 1:36:10 flashback now he's back in the present 1:36:13 looking tortured right cuz he just 1:36:15 thought of that looking 1:36:17 tortured now he's back in the in the 1:36:20 bar and then that's where it 1:36:23 stopped but um holy crap that's really 1:36:27 good that's really good really good nuts 1:36:33 nuts it's nuts I tell you nuts I tell 1:36:39 you you know and we could even do you 1:36:41 know what would be kind of fun is 1:36:46 say as an experiment can you 1:36:50 create 1:36:53 two images one from the past and one 1:36:56 from the 1:36:57 present based on the scenes 1:37:01 above but do them 1:37:03 in a 1:37:07 photographic cinematic style so they 1:37:11 actually look 1:37:13 like stills from the 1:37:19 film period 1:37:24 the 1:37:26 lighting should be 1:37:30 professional and 1:37:32 Moody and 1:37:35 the set 1:37:38 decoration and locations should be 1:37:43 impeccable see if we can get it to see 1:37:46 if we can get it to give us some 1:37:48 Hollywood 1:37:49 action ask for a list of code block or 1:37:53 markdown oh yeah that's a good idea retr 1:37:55 Punk let me try 1:38:07 that oh that's pretty cool that looks 1:38:12 nice that very much looks like Gig 1:38:15 Harbor very much looks like 1:38:19 it very much in 1:38:27 fact didn't quite capture the the color 1:38:38 grading the image from the past doesn't 1:38:41 quite have the color grading that we 1:38:43 discussed 1:38:44 earlier can you make it more 1:38:47 dramatic from 1:38:49 a stylistic point of view 1:38:56 view can it include sound seagulls maybe 1:38:59 it cannot um sounds sounds and video 1:39:04 will probably be within within six 1:39:07 months like I'm sure I'm sure chat GPT 1:39:11 very shortly here becomes true 1:39:16 multimodal 1:39:18 um and at that point it's probably 1:39:22 that doesn't look photorealistic 1:39:25 anymore the revised 1:39:33 image okay that's better stylistically 1:39:36 but it doesn't look photographic and 1:39:38 cinematic anymore can you give me a 1:39:40 final version from the 1:39:45 past that is much more 1:39:49 photographic that retains that 1:39:54 [Music] 1:39:56 style oh by the way you could you could 1:40:01 absolutely turn this into a 1:40:03 GPT so you could you could come up with 1:40:06 a way to 1:40:09 um feed it feed it a piece of a 1:40:12 screenplay have it break that screenplay 1:40:16 down and oh look this is so cool look 1:40:19 what it 1:40:20 did th this is like all the from the 1:40:23 film you know this is like the 1:40:24 cameraman's view the cinematographers 1:40:27 view that's 1:40:30 hilarious not exactly what we wanted for 1:40:32 a storyboard but that's kind of 1:40:40 cool wow uh so let me try something here 1:40:45 um could you 1:40:50 create a 1:40:52 table using 1:40:56 markdown that 1:40:59 includes the columns for the scene the 1:41:03 visual 1:41:05 description and the embedded image so 1:41:08 that I can view it here in the browser 1:41:09 as a 1:41:11 table so markdown is a is a sort of 1:41:16 local rendering it's it's kind of like 1:41:18 mini HTML let's see if it gets the in 1:41:22 there did it oh it broke darn 1:41:46 it this is great but the images are 1:41:49 breaking can you 1:41:52 use whatever coding you used above 1:41:54 because above I can see the images but 1:41:57 in this table I 1:42:00 can't let's see what it does here I 1:42:03 understand the issue let's try embedding 1:42:04 the images using a different method in 1:42:06 the markdown 1:42:08 table oh it's putting in base 64 1:42:11 truncated truncated for brevity well 1:42:13 that means that the image won't show you 1:42:15 dumb 1:42:16 Dum oh well oh well what are you going 1:42:19 to do all right so we can sort of get it 1:42:21 working if if I if I messed around with 1:42:23 this for a while you you could probably 1:42:24 get this thing to be pretty 1:42:26 sophisticated anyway this would be a 1:42:28 good GPT to create is is create a 1:42:30 storyboarding GPT that invites someone 1:42:34 to upload a scene or write a scene or 1:42:37 have it write a scene and then it will 1:42:39 create a visualization like a a scene by 1:42:42 a shotby shot table based on the 1:42:46 screenplay and then prompt them for 1:42:49 visual style and then generate all this 1:42:51 crap and then output something and or 1:42:53 save it to a something or save it to a 1:42:55 Google 1:42:58 Drive crazy crazy crazy and you could 1:43:02 probably knock that out on a Saturday 1:43:05 [Laughter] 1:43:12 afternoon holy goodness 1:43:15 people 1:43:17 crazy it's cuckoo I tell you it's cuckoo 1:43:25 cachu hello 1:43:28 [Music] 1:43:29 hello my name's 1:43:34 Kyle I like 1:43:36 ai ai is good AI is tasty have you had 1:43:40 any taste the AI taste it you can make 1:43:45 money 1:43:47 with it's so 1:43:50 exciting 1:43:54 I don't know what I'm doing I do not 1:43:56 know what I'm doing like whatever we 1:43:58 just did 1:44:00 there that was chat add is it at its 1:44:03 finest I hope you got something out of 1:44:06 that there's there's enough people in 1:44:08 here hopefully you got something out of 1:44:09 that kind of blew my 1:44:13 mind I mean it it's kind of making me 1:44:17 want to go back I've got seven feature 1:44:20 length screen 1:44:22 plays how do you upload your script 1:44:24 script to chat GPT so you just there's a 1:44:28 little paperclip so you you have to be 1:44:30 using GPT 4 for one 1:44:35 thing GPT 4 and then that little 1:44:38 paperclip you can upload anything so you 1:44:41 want to see something fun yes Kyle of 1:44:44 course we do um let me go back to the 1:44:47 chat that I just had let me go find an 1:44:50 image that I 1:44:58 like I really like that first one where 1:45:01 he's laying in 1:45:04 bed or the one where he's smoking the 1:45:06 cigarette yeah this one all right is 1:45:09 that the download button yes all right 1:45:12 so that just downloaded that so I can go 1:45:14 to chat 1:45:15 GPT if you're in chat 1:45:17 gp4 you can upload anything so I 1:45:20 uploaded a text file you could upload a 1:45:22 PDF you could upload a Word document you 1:45:25 could upload a 1:45:26 CSV 1:45:28 um I'm going to upload one of those 1:45:31 images from the 1:45:34 storyboard this 1:45:37 one and I'm going to 1:45:44 say this is an image from a storyboard 1:45:48 for a film I am working on 1:45:52 period can you 1:45:57 please describe this in as much detail 1:46:00 as possible from a cinematography and 1:46:03 set decoration point of 1:46:07 view followed 1:46:12 by a 1:46:15 table 1:46:17 of props and their descriptions 1:46:22 [Music] 1:46:33 image showcases a moment of quiet 1:46:34 introspection in the small boat cabin 1:46:36 filled with natural and artificial light 1:46:39 sources blend to create a Serene blue 1:46:41 Ambiance evoking a sense of morning 1:46:43 Tranquility the scene is primarily is 1:46:46 lit primarily by Soft natural light 1:46:48 coming from a circular window suggesting 1:46:50 early Dawn which is complemented by the 1:46:53 Warm Glow of an oil lantern indicating 1:46:55 the cabin's lack of modern amenities the 1:46:58 subject the man with unkempt beard blah 1:46:59 blah blah the set decoration is 1:47:04 meticulous Furniture adds a touch of 1:47:06 authenticity the color palette is 1:47:08 predominantly shades of blue okay here's 1:47:10 a table of props and descriptions oil 1:47:12 lantern an old-fashioned brass oil 1:47:15 lantern alarm clock ropes and Tackle 1:47:18 ship's wheel wooden suit this is this is 1:47:21 what you have assistants on Films spend 1:47:26 hours 1:47:28 doing it just knocked that [ __ ] 1:47:32 out port hole wicker basket bed with 1:47:36 pillows unmade and utilitarian 1:47:38 suggesting a character's transient 1:47:40 lifestyle like capturing the 1:47:44 the like the creative Essence as well as 1:47:49 what it is right you you need bed you 1:47:51 need a bed with pillows but we're not 1:47:53 getting you know something from from uh 1:47:57 from a fancy store here right this is 1:47:59 utilitarian this is this is well-used 1:48:01 [ __ ] transient 1:48:03 lifestyle this is well-worn 1:48:08 bedwar I'm going to 1:48:18 say could you create 1:48:23 a production 1:48:30 schedule for what needs to be done in 1:48:33 what order to achieve this 1:48:47 shot multiple departments including set 1:48:49 design lighting camera Crews and others 1:48:52 belows a simplified version 1:48:54 pre-production phase script breakdown 1:48:55 and storyboarding one to two weeks 1:48:57 before the shoot analyze the script 1:49:00 create storyboards 1:49:02 scouting set design prop sourcing 1:49:05 casting and wardrobe production phase 1:49:08 set construction and and dressing set 1:49:10 the dress set set build the set and 1:49:13 dress it with necessary props make 1:49:15 adjustments technical walkth through 1:49:17 lighting setup day of shoot morning 1:49:21 rig up natural light sources adjust for 1:49:24 desired Shadows camera setup and 1:49:26 rehearsal principal photography 1:49:30 midday review the Daily's day of shoot 1:49:36 evening 1:49:40 amazing 1:49:42 amazing oh mying it's so cool it's so 1:49:46 cool I don't know if you've seen this 1:49:47 have you ever seen AI it's so cool it's 1:49:50 really cool you can make money with 1:50:02 ch oh man yall are cool all 1:50:07 right you remind me of Peter sers 1:50:10 inspector cluso when you say I don't 1:50:13 know I don't know what you 1:50:19 mean 1:50:26 oh ask get to use the same image at a 1:50:29 different time of day we can do 1:50:35 [Music] 1:50:40 that let's 1:50:49 see 1:51:04 okay I'd like to 1:51:07 create a 1:51:14 still 1:51:17 from the photographic image 1:51:22 of the marina at 1:51:25 dawn and keep 1:51:29 the image composition 1:51:34 identical but change the time of day to 1:51:37 be high 1:51:40 noon there should 1:51:43 be some clouds in the sky but the sun is 1:51:47 shining directly on the 1:51:49 marina 1:51:50 [Music] 1:51:52 not High Moon High 1:51:56 Noon high 1:51:59 noon and this is Dawn not 1:52:02 Dan all right let's see what we 1:52:06 get Vicky's gone now she said you are in 1:52:09 the door now okay all right great thank 1:52:19 you 1:52:22 you're all caught up 1:52:24 okay fix on I 1:52:26 did let's see what it does here we'll 1:52:30 see if it it it might not remember what 1:52:32 scene I was talking about it might but 1:52:34 we'll 1:52:38 see nope it 1:52:41 didn't and that's not really high noon 1:52:46 but look it says High 1:52:49 Noon 1:52:50 High Noon present 1:52:54 day that's more like 4 in the afternoon 1:52:57 but that's okay where it's like it's 1:53:00 like 10 o00 in the morning and still 1:53:02 burning off the still burning off the uh 1:53:05 the low Ling clouds and 1:53:08 [Laughter] 1:53:13 Mist now but what I could possibly do so 1:53:16 here's another way to do 1:53:19 this 1:53:21 we 1:53:22 grab 1:53:25 this save image 1:53:29 as Gig 1:53:31 Harbor 1:53:39 Dawn save it to the desktop we'll do a 1:53:44 new a new chat jie 1:53:47 Tai and we'll upload that 1:53:54 not 1:53:56 that that okay I'm going to upload 1:54:03 that describe this scene in as much 1:54:06 detail as possible including the 1:54:09 photographic 1:54:12 style all right so we'll get it to 1:54:15 describe it watching a masterpiece being 1:54:19 born yeah this is actually I mean you 1:54:22 know jrc it it's like 1:54:25 what's what's amazing about this is you 1:54:29 know I'm just you know this is as much 1:54:33 just entertainment just me kind of 1:54:35 [ __ ] around here but I mean imagine 1:54:38 if if you really put in the work right 1:54:43 to say hey I want to I want to I want to 1:54:46 take this screenplay that I wrote I I 1:54:48 really want to get it to the next level 1:54:49 I want to get this thing 1:54:51 fundable and you put in a 1:54:54 solid 1:54:55 week can you imagine like just me 1:54:58 [ __ ] around in in the last 45 minutes 1:55:01 or so whatever it's 1:55:03 been imagine putting in a week of really 1:55:06 focus time on this what youd come out 1:55:07 with on the other side you'd come out 1:55:10 with it's just 1:55:13 amazing it's just amazing okay so now 1:55:16 I'm going to 1:55:19 say perfect now I'd like to recreate 1:55:22 that exact same scene at a different 1:55:25 time of day 1:55:35 period how about late 1:55:37 afternoon where the sun is behind the 1:55:40 camera and lighting up the 1:55:45 marina with magic 1:55:48 hour sunlight 1:55:55 is 1:55:56 reasoning able to come up with new ideas 1:55:59 the only ability missing for True 1:56:01 AGI I would argue that the current 1:56:05 technology absolutely comes up with new 1:56:08 ideas 1:56:09 um it seems there was an issue 1:56:12 generating 1:56:19 this 1:56:20 um but the me the reasoning is missing 1:56:23 it's its ability to take autonomous 1:56:25 action and its ability to reason to to 1:56:28 basically figure out if is what it's 1:56:30 doing as it's taking these actions 1:56:33 working or not and the qar thing that 1:56:37 everyone's talking about right now is 1:56:39 apparently a layer that sits on top of 1:56:41 the current large language model GPT 4 1:56:45 or five if they're working on that and 1:56:48 it adds that reasoning component 1:56:49 component to it and that autonomous 1:56:51 component to it and if that's the case 1:56:53 then I I that seems to me to 1:56:57 be a hurdle for at least some stage of 1:57:02 AGI um try again with making the 1:57:18 image thank you JC that's very 1:57:22 sweet oh my God my phone typos oh I 1:57:26 typing on a phone is anyone else in 1:57:29 instead of hitting the space bar you 1:57:31 always hit the N key and so you just 1:57:33 have one long word with all these n's in 1:57:35 the middle of the words it's 1:57:38 like like AI should learn that I'm how I 1:57:43 [ __ ] up my typing and fix it for me 1:57:46 shouldn't 1:57:47 it yes it should 1:57:52 why yes it 1:58:02 should come on come on create that image 1:58:05 oh you you 1:58:07 stinker any recommendations now that the 1:58:10 upgrade to GPT 4 is not available yeah 1:58:13 Vic so if you go to co-pilot 1:58:17 microsoft.com so so a couple of things 1:58:20 um 1:58:21 Claude now has a 200,000 token context 1:58:25 window and it's got a it's got a free 1:58:28 option um perplexity doai has a free 1:58:31 option and apparently you can upload 1:58:33 300,000 Words which is like a 400,000 1:58:37 token context window which I don't 1:58:40 believe but maybe that's true someone 1:58:42 told me that yesterday on the live then 1:58:44 you can also go to oh this is the AI 1:58:47 Salon you can go to the AI salon and 1:58:49 join that that I'll tell you how to do 1:58:51 that in a second but you can also go 1:58:55 to um 1:58:58 co-pilot 1:59:01 dot 1:59:05 microsoft.com and so this is oh I have 1:59:08 to sign in to Microsoft I think this 1:59:11 screwed up for me the other day okay now 1:59:13 I'm in okay so let's let's try 1:59:16 this can I upload 1:59:21 can I upload here add an image oh I 1:59:25 can't huh oh and it's only got a 2,000 1:59:28 token context window all right but I 1:59:31 should be able to let's 1:59:34 see let me 1:59:37 upload from this 1:59:41 device all right we'll do that we'll 1:59:43 upload that 1:59:48 image 1:59:51 describe this still 1:59:54 from a film's storyboard in as much 1:59:57 detail as possible including the 1:59:59 photographic 2:00:03 style so this 2:00:05 should acts relatively like what we just 2:00:08 did over in chat GPT but 2:00:13 Microsoft is sometimes a little 2:00:16 weird and by a little weird I mean 2:00:18 shitty 2:00:23 all right this is a still from the film 2:00:25 storyboard the image is a wide shot of a 2:00:27 harbor with boats 2:00:30 and 2:00:32 great recreate this image at 2:00:39 a a different time of day question mark 2:00:46 or no no question 2:00:48 mark let's see what it does I'm sorry 2:00:51 but I'm not be able to recreate the 2:00:53 image however based on the 2:00:55 description I can suggest 2:00:59 some all 2:01:01 right create an image based on the 2:01:07 description it should be able to do that 2:01:10 see this is what it just did there this 2:01:12 is what I experienced with Microsoft all 2:01:13 the 2:01:16 time you could use an AI image generator 2:01:19 this is an AI image 2:01:22 generator although maybe they didn't 2:01:24 bring Dolly over to this I don't know 2:01:32 see let's go try 2:01:35 Bing chat. 2:01:37 [Music] 2:01:39 bing.com ah this is maddening no this 2:01:42 looks like it's the 2:01:44 same let's try 2:01:48 it 2:01:50 upload from 2:01:53 device please describe this in as 2:01:59 much detail as 2:02:03 possible all 2:02:05 right chat GPT made a joke last week 2:02:08 unprompted during a conversation I had 2:02:10 with it 2:02:11 wow that's wild well it looks like grock 2:02:14 you can put grock into funny mode and it 2:02:16 looks like it's going to just be a real 2:02:18 cutup 2:02:20 this is a photo okay good beautiful 2:02:23 terrific um create a new version of this 2:02:29 image at a different time of day spelled 2:02:35 wrong but that's 2:02:39 okay no it 2:02:42 doesn't I don't understand what 2:02:45 Microsoft is doing this used to have 2:02:46 Dolly built into it and now it seems 2:02:48 like it doesn't 2:02:51 I don't get it and if if I go to 2:02:54 bing.com 2:02:56 create that should be um dolly3 SLC 2:03:03 create jump start your 2:03:08 creativity but I can't upload an image 2:03:10 here I don't know so I'm totally 2:03:14 confused right now so we are discovering 2:03:17 together that it looks like have gutted 2:03:21 co-pilot to remove all the multimodal 2:03:24 [ __ ] from it except it can describe an 2:03:27 image it can see it can see images but 2:03:30 it's not able to create them which is 2:03:32 weird so that might just be a temporary 2:03:35 thing but that's very strange anyway 2:03:39 um I was going to say you could use 2:03:42 co-pilot but now you can't so 2:03:48 um 2:03:50 I got nothing I got nothing for 2:04:00 [Music] 2:04:03 you sometimes this shit's really 2:04:06 frustrating if if if by the 2:04:10 way if when you're using this AI [ __ ] 2:04:12 you're like it seemed so good when Kyle 2:04:15 did it now I can't get it to do 2:04:18 [ __ ] I have happens to me multiple times 2:04:21 a day where there are sometimes where I 2:04:23 just get so pissed off with it I just 2:04:25 like bail on the project and then there 2:04:28 are other times where it's like so 2:04:30 magical I'm like it can do 2:04:33 anything and that's just the nature of 2:04:35 where we are right now so so don't let 2:04:38 its lack of consistency dissuade 2:04:42 you just keep playing and keep finding 2:04:45 the boundaries and then what what what 2:04:48 you'll find is that 2:04:50 that you'll try to do something and 2:04:52 it'll suck at it and then you'll go try 2:04:54 other tools and you'll get something 2:04:56 close and then you'll just realize okay 2:04:58 this stuff isn't quite there yet and 2:05:01 then you'll come back like 3 months 2:05:02 later and you try the same thing and 2:05:04 you're like oh holy 2:05:06 [ __ ] oh it does it now it's 2:05:11 like it's it's um it's been progressing 2:05:15 per 2:05:16 fast per fast 2:05:20 yeah mhm I like them taters mhm Tater 2:05:24 taters tasty 2:05:26 mhm they call it a sling 2:05:28 [Music] 2:05:38 blade I think I'm I think I'm crisped 2:05:41 out I think I might be 2:05:43 done let me see if we got any 2:05:46 other stuff here let me you know what I 2:05:49 want to do um since there's a bunch of 2:05:51 new people in here let me give you get 2:05:53 ready to do some screenshotting they 2:05:55 call me tater salad that's it Mr 2:06:00 K um okay if you're brand new to this 2:06:05 here AI [ __ ] if you're like Ma what you 2:06:09 were doing look cool and everything I 2:06:10 don't know how to do any of that crap 2:06:12 I'm going to I'm going to give you some 2:06:14 some stuff to play with I'll give you 2:06:15 some homework we got Mr K here he's an 2:06:18 educator he will give you homework and 2:06:20 this is this is my son tater tot 2:06:26 exactly um go there right now if you've 2:06:29 not played with chat gbt I am wagging my 2:06:32 finger at you and you know what that 2:06:34 means I don't either but go there right 2:06:38 now and just start playing with it ask 2:06:40 it to write you a poem ask it to write 2:06:42 you a project plan ask it to to invent a 2:06:45 new kind of pizza for you what like 2:06:47 whatever you're interested in just ask 2:06:49 ask it to do that try to stump it if you 2:06:51 think you're super clever on a 2:06:52 particular kind of trivia ask it about 2:06:55 that see how it does and just go start 2:06:58 playing with it and just play with it 2:07:00 until you have what I call your Kevin 2:07:03 McAllister moment which 2:07:05 is it can do 2:07:07 that um maybe you've seen some of that 2:07:10 tonight some of that storyboarding stuff 2:07:12 I was just doing like kind of is melting 2:07:15 my face like 2:07:17 I I wrote that screenplay 20 odd years 2:07:21 ago and watching 2:07:24 it synopsize my 2:07:27 screenplay break the scenes down into 2:07:30 visuals and then create visuals like it 2:07:33 looked like what I had in my head it's 2:07:36 like are you kidding 2:07:38 me so so this stuff's just wild so so 2:07:42 anyway I made a chat GPT for your button 2:07:45 oh for this button you make money with 2:07:47 chat GPT 2:07:49 we need a you can make money with chat 2:07:51 GPT button I think I might have I might 2:07:53 have made one called that you can make 2:07:55 money with chat 2:07:58 GPT um but that's awesome that's awesome 2:08:00 share it on the on the salon I'm gonna 2:08:02 I'm GNA talk about the salon here in a 2:08:04 second okay so so that's chat GPT chat 2:08:07 GPT in my opinion right now there's 2:08:09 nothing even close to it GPT 4 okay the 2:08:13 problem is if you don't have access to 2:08:15 chat GPT 4 right now they're not taking 2:08:17 new uh 2:08:19 accounts so get on the wait list um if 2:08:22 you do have access to it and you haven't 2:08:24 really dug into it start digging start 2:08:27 digging because there's all sorts of 2:08:29 [ __ ] it does including these making 2:08:30 these gpts okay 2:08:34 but I would encourage you all to get 2:08:37 very very curious about this space in 2:08:39 general I'm now going to show you eight 2:08:41 different alternatives to chat GPT that 2:08:44 are all worth at least exploring 2:08:46 okay um Claude grock Bard and co-pilot 2:08:51 are kind of your big four um grock isn't 2:08:54 out yet that's going to be the one 2:08:55 that's inside Twitter x x.com and 2:08:59 x. um Claude is anthropic that's a big 2:09:04 competitor to chat GPT Bard is from 2:09:07 Google co-pilots from Microsoft that's 2:09:10 ostensibly chat GPT 4 but whatever I 2:09:13 looked at tonight was the gutted version 2:09:15 of it so that was very disappointing so 2:09:17 I'm hope hopefully that's just a 2:09:20 blip um these are another four that I 2:09:23 think are worth exploring Pi perplexity 2:09:25 and po are all three different very 2:09:28 specific kind of flavors of these chat 2:09:30 gpts and then llama 2 is kind of a whole 2:09:33 world in and of itself uh that meta put 2:09:36 out these open-source uh large language 2:09:39 models called llama uh that's why we 2:09:41 have llamas in here a lot because every 2:09:43 time I mention llama someone pops a 2:09:45 llama on 2:09:47 screen um and then here's kind of four 2:09:50 different image generation tools to go 2:09:52 play with and I'm not going to go beyond 2:09:54 this so screenshot 2:09:57 that screenshot that if you 2:10:01 haven't and then screenshot that and 2:10:06 then if if you are curious about this 2:10:09 and you're like you don't have you 2:10:11 haven't found your peeps yet like if all 2:10:13 the people in your life are like that AI 2:10:15 stuff's stupid it's evil it's really 2:10:17 dumb why are you wasting your life 2:10:19 if you got a lot of that going on and 2:10:21 you want to hang out with people that 2:10:22 are up to the same thing um join the AI 2:10:25 salon so this is a group that I started 2:10:27 a year ago next Tuesday is it next 2:10:30 Tuesday no a week from Tuesday is our 2:10:34 one-year anniversary so I started the 2:10:36 salon the week after chat gbt came out 2:10:39 cu when it came out I lost my [ __ ] 2:10:42 mind and so go to AIS salon. 2:10:46 mn. that's the that's the the address 2:10:50 please go to the about the salon 2:10:56 page that will tell you what we're all 2:10:59 about community of extraordinary 2:11:01 adventurers exploring the AI unknown who 2:11:04 we are why we're here how we explore 2:11:07 what we seek and what our values are and 2:11:10 please please please please it is my 2:11:12 deep request please go look at the 2:11:14 values of this community I want this 2:11:17 community to grow but I don't want it to 2:11:20 lose what we have right now which is 2:11:21 pretty [ __ ] magical so the values are 2:11:24 curiosity generosity like share what 2:11:27 you're 2:11:28 learning 2:11:29 exploration 2:11:31 collaboration inclusion and 2:11:35 empathy and and you know go read what 2:11:37 the values are really about and what the 2:11:39 community is about if you resonate with 2:11:41 these jump in start exploring start 2:11:44 being generous start being curious um if 2:11:46 if they don't resonate with you that's 2:11:48 totally cool but it's probably not your 2:11:50 group of people you probably will not 2:11:52 like 2:11:55 us uh if you see things about hair 2:11:58 you're in the wrong 2:12:02 place oh yeah yeah exactly if you go to 2:12:06 uh I did this the other day if you go to 2:12:08 the salon. mn. that's a hair place I 2:12:13 gave that uh URL out for for a while on 2:12:15 the first day when we moved over to this 2:12:17 new platform and that was that was a 2:12:19 mistake so anyway so go there join us 2:12:23 and um do me a favor follow this channel 2:12:26 I'm trying to trying to grow this 2:12:27 channel so follow this if you like what 2:12:29 was 2:12:30 here I want to say thanks for suggesting 2:12:32 pie she has been super helpful oh that's 2:12:35 that's terrific n Nash 2:12:38 n Asha or Asia NAA NAA I think I like 2:12:43 that 2:12:44 name um good afternoon for me and good 2:12:47 night to all night good afternoon drew 2:12:50 the values are the best part of this 2:12:52 group I'm stealing these values for my 2:12:54 classroom rules oh awesome I know I'm 2:12:56 really what's cool about the values is 2:12:59 we didn't just like make up a pile of 2:13:02 values we sat down and we said okay we 2:13:05 want to grow the salon but how do we not 2:13:06 lose what it is and so those values were 2:13:09 derived from how people were 2:13:12 acting and so those are just a 2:13:14 reflection of what's already there and 2:13:16 so that's when when when values are 2:13:20 right that's what they are they're just 2:13:21 a reflection of what's already there but 2:13:23 but they're super important because as 2:13:25 things grow you can lose that so that's 2:13:27 why I push push hard on on the values so 2:13:32 all right everybody I'm going to get my 2:13:34 ass out of here into bed multimod modal 2:13:37 Works in co-pilot try create an image of 2:13:39 a Philadelphia Eagle defeating a buffalo 2:13:42 yeah it might be just I sometimes when I 2:13:45 log in and it says I've got a 2,000 2:13:47 token cont context window it's non- 2:13:50 multimodal gp4 and then there's other 2:13:53 times I log in and I've got a 4,000 2:13:55 token context window and then it does it 2:13:58 so I don't know what's going on there 2:13:59 some something's weird on my end tonight 2:14:02 so thanks Kyle Kyle is C thank you very 2:14:07 much Irregulars mods present Turtles 2:14:10 llamas or 2:14:12 hedgehogs thank you Clint Copperhead 2:14:14 thank you mods um thank you everyone who 2:14:18 uh supports this and shows up 2:14:20 nightly let's see Clint 2:14:23 Copperhead who else we got jrc good to 2:14:25 see you Tobias Mary Mary as always good 2:14:28 to see you Mr K you're 2:14:30 amazing good night cor Corey Sandler 2:14:34 good to see 2:14:35 you 2:14:38 uh quick take Jake good to see you 2:14:42 Amelio's wife you were 2:14:45 late random thoughts by TK good to see 2:14:48 you all right 2:14:50 everybody um I'm Crispy drink your 2:14:53 fluids I got to go drink mine peace out 2:14:55 steo um thanks for your help you're 2:14:57 welcome thanks everybody for hanging out 2:14:59 and hope you had a good time and go join 2:15:01 the salon 2:15:04 peace