
AI Learning Lab
Jun 27, 2024 - Embrace the Jank: AI's Role in Creativity, Community, and Critical Thinking

Video2024-07-041:49:456 views
Description
In this lively and eclectic discussion, Kyle explores the intersections of artificial intelligence, creativity, and social dynamics, all while navigating the humorous chaos of live interaction. He delves into the potential of AI to revolutionize various fields, from music composition to healthcare, and reflects on the implications of digital twins and the future of content creation. Amidst the banter, Kyle emphasizes the importance of community in understanding and harnessing AI's capabilities, advocating for a playful approach to learning and experimentation. The conversation also touches on critical thinking, political satire, and even the absurdities of modern life, making it a rich tapestry of insights and entertainment. Join Kyle on this journey of exploration and embrace the unexpected twists of AI and creativity.
For more engaging discussions, check out Kyle's TikTok channel: https://tiktok.com/@aiLearningLab.
#AI #Creativity #DigitalTwins #Community #CriticalThinking #Innovation #Humor #ContentCreation #ArtificialIntelligence #PlayfulLearning
Chapters
00:00:00 Post-Debate Party
00:05:00 Hamilton
00:05:21 Ai Electricity Consumption
00:07:27 Embrace The Jank
00:08:48 Tpu Energy Efficiency
00:09:24 The Five Minute Debate
00:10:51 Shannon Sky 2028
00:12:04 New Ai Chips
00:14:47 Whimsy
00:15:53 Ai For Patent Claims
00:17:47 Book Dedication
00:19:15 Madagascar Vanilla Beans
00:21:36 Texting Thumbs Up
00:23:35 Book Release Date
00:24:41 Claude Prompt For Book Cover Art
00:27:08 11 Labs Reader App
00:36:50 The Value Of Recording Everything
00:43:11 Interactive Lessons With Ai
00:46:01 Digital Twin Portfolio
00:53:52 The New Book
00:58:17 Protecting Your Digital Twin
01:01:21 Liberal Arts Analysts
01:03:15 Entities Starting A Business
01:06:01 The Irregulars
01:07:57 Research Lab With Ai Legends
01:12:17 Joe The Tire Technician
01:14:49 Alpha Fold 3
01:18:01 Connecting Ai Models
01:21:45 Pretty Woman In Tahiti
01:23:13 Madagascar Vanilla Beans
01:25:31 Designer Drugs With Ai
01:27:29 Sleek Swimwear
01:28:04 Led Lights
01:28:51 Ai-Generated Skits
01:31:29 Runway Gen 3
01:33:19 Critical Thinking
01:34:52 Critical Thinking Dashboard
01:40:19 Push Your Boundaries
01:41:09 Quote Of The Day Calendar
01:43:15 Tire Joe Song
01:44:53 Ai Salon Community
01:47:46 Biden Crashes With Trump
01:48:58 Ai Office Hours
01:49:24 Philosophical Musings
Chapters
0:00Post-Debate Party5:00Hamilton5:21Ai Electricity Consumption7:27Embrace The Jank8:48Tpu Energy Efficiency9:24The Five Minute Debate10:51Shannon Sky 202812:04New Ai Chips14:47Whimsy15:53Ai For Patent Claims17:47Book Dedication19:15Madagascar Vanilla Beans21:36Texting Thumbs Up23:35Book Release Date24:41Claude Prompt For Book Cover Art27:0811 Labs Reader App36:50The Value Of Recording Everything43:11Interactive Lessons With Ai46:01Digital Twin Portfolio53:52The New Book58:17Protecting Your Digital Twin1:01:21Liberal Arts Analysts1:03:15Entities Starting A Business1:06:01The Irregulars1:07:57Research Lab With Ai Legends1:12:17Joe The Tire Technician1:14:49Alpha Fold 31:18:01Connecting Ai Models1:21:45Pretty Woman In Tahiti1:23:13Madagascar Vanilla Beans1:25:31Designer Drugs With Ai1:27:29Sleek Swimwear1:28:04Led Lights1:28:51Ai-Generated Skits1:31:29Runway Gen 31:33:19Critical Thinking1:34:52Critical Thinking Dashboard1:40:19Push Your Boundaries1:41:09Quote Of The Day Calendar1:43:15Tire Joe Song1:44:53Ai Salon Community1:47:46Biden Crashes With Trump1:48:58Ai Office Hours1:49:24Philosophical Musings
Transcript
0:01 [Music] 0:09 [Music] 0:20 w 0:23 [Music] 0:36 see the H is quiet 0:38 town where old Tre 0:42 sway whistle of the train echo through 0:46 the 0:50 day 0:52 um people G you will 0:55 not nothing ever seems to change 1:00 story still unfold it's Unique and 1:04 [Laughter] 1:08 strange in the town we called 1:12 Home Folks 1:15 never never what took to her no matter 1:20 tone longing to be on the 1:24 inside long love just a 1:27 little she found herself as a guest in a 1:30 nervous 1:35 Hospital weird Mar from Ceda 1:38 Hill she hows when she's 1:41 [Music] 1:44 blue of sadness and shame under the 1:48 southern Moon I don't know the words I 1:51 don't know the words you know why I 1:52 don't know the words cuz AI wrote the 1:54 damn 1:55 [Laughter] 1:57 song Tobias what's happening 2:01 [Music] 2:19 [Music] 2:21 well you're welcome I let you watch that 2:24 scintillating 2:27 debate God damn that was unwatchable 2:33 [Music] 2:44 [Applause] 2:51 oh 2:53 [Music] 3:20 get over here why you sitting over there 3:22 come over here the people need they're 3:24 singing where's the singing dog 3:28 [Music] 3:29 [Applause] 3:35 [Laughter] 3:36 [Music] 3:42 I hope there was a secret 3:45 call play 3:48 [Music] 4:29 w 4:35 sad hustle Mimi what's happening 4:37 Danielle is sharing the 4:39 live 61 people in 4:42 here for this post debate 4:45 Party by the 4:47 way here's who I think won the debate 4:50 all of you cuz I'm not going to talk 4:52 about the [ __ ] debate I hate politics 4:54 drives me [ __ ] crazy all right done 4:58 Hamilton 5:01 say his 5:03 name do you know he was 21 in 1776 when 5:08 they founded this country he was 5:10 21 5:13 21 5:15 amazing uh amazing archetypal architect 5:19 happy about the non-p 5:21 politics is AI causing a tremendous 5:23 amount of electrical resources to be 5:27 used 5:28 yes um 5:34 I mean like in a way that's hurting 5:36 other things 5:39 no the amount of electricity they're 5:42 going to need to do [ __ ] in the 5:44 future 5:46 um I'm pretty sure 5:49 Microsoft is investing in nuclear 5:51 technology like as in nuclear power 5:54 plants 5:55 um Elon Musk is going to build the 5:58 gigafactory of compute right next 6:01 to um an electricity Generating Station 6:05 of some kind I forget what what it is 6:08 either next to a dam or next to a 6:09 nuclear power 6:11 plant so I think what you'll see is 6:15 dedicated dedicated electricity just for 6:19 training these models for the really big 6:21 models in the future I I mean this is 6:23 going to end up being like government 6:24 infrastructure kind of stuff um or or 6:27 you know big big ass Private Industry 6:29 kind of stuff this is this is why 6:31 there's a rumor that open AI is trying 6:33 to re raise 5 to 7 trillion 6:36 dollar cuz they'll make their own chips 6:39 those chips will get more efficient 6:40 they'll make their own 6:41 electricity 6:43 so you 6:47 know it's going to be a lot now it's 6:50 possible that they make big advancements 6:51 in chips and Material Sciences and 6:53 things like that and but but probably 6:56 not in time to you know the demand for 6:59 electricity these probably going to Z go 7:01 exponential and then they'll have to 7:04 chase it they'll they'll be chasing it 7:05 for a bunch of years but then they'll 7:07 get to AGI and maybe they figure out 7:10 fusion and and uh you know small nuclear 7:15 like little air conditioner sized units 7:17 you sit outside your house and power 7:19 everything for all of infinity maybe we 7:21 get that in a few 7:22 [Laughter] 7:24 years they cure cancer but right now 7:27 embrace the Jank this is the cover of 7:30 the book by the 7:32 way well it started out I was just going 7:35 to um see if I could get Claude to do 7:39 some 7:40 categorization of some 7:42 quotes and two hours later I had written 7:45 a 7:47 book so today I I made the cover that's 7:49 the 7:51 cover let's see do I have did I actually 7:56 crop this 8:01 CRP it's 8:09 actually 8:17 yeah how do I oh there we 8:20 go 8:23 right so there's the there's the 8:26 full there's the full cover cover 8:31 Paving your playing your way to AI 8:34 literacy embrace the Jank fun inspiring 8:38 and janky quotes about AI by Kyle 8:40 Shannon pulled from 750 plus hours of 8:43 the AI learning Lab live sessions on Tik 8:45 Tock that's right here that's what this 8:48 is the TPU was designed specifically to 8:51 be energy efficient yeah exactly I I 8:54 figure things like that that new chip I 8:57 don't did you see that new chip that was 8:59 announced Pate the it's supposed to be 9:02 500,000 tokens a 9:04 second um crazy hey hey hey was just 9:08 watching your post whose post my post 9:12 someone else's 9:17 post all right 9:21 sh why is that not 9:24 working all right I could only stomach 9:28 about five minutes of the debate 9:31 please start the live I almost started 9:33 the live kind of five minutes in but I'm 9:35 like I don't know maybe someone's not 9:36 seeing what I'm 9:37 seeing I I tried to be uh respectful of 9:42 everyone's time and uh 9:46 [Laughter] 9:48 stuff oh man anyway there's embrace the 9:53 Jank that is Yan book 9:58 cover I think that would make a good 10:00 t-shirt 10:01 so so we'll do something maybe that that 10:04 robot becomes some sort of mascot or 10:06 something yours the book post you made 10:08 on Tik Tok Walkin talk oh cool the 10:11 walkin talk 10:12 nice Post in here I thought you made a 10:15 post on might networks um very cool yeah 10:18 I was uh talking about this 10:23 yeah you're here you experienced it that 10:25 was pretty cool um all right I'm a 10:30 little discombobulated cuz that that 10:32 debate was so bad I'm just 10:35 like it's just [ __ ] 10:41 hopeless it's going to be fine 10:43 everything's going to be 10:47 fine I'll tell you what Shannon Sky 2028 10:51 is looking a [ __ ] ton better if you 10:54 don't know what Shannon Sky 2028 10:56 is Sky was the voice that Scarlet 11:00 Johansson thought was her and so she 11:02 said hey they stole my voice and so they 11:04 shut it down but it wasn't really her 11:06 but they shut it down anyway so I agreed 11:10 that I would run for president in 2028 11:12 and my my platform would be I will let 11:15 AI run the country I'll just be the 11:17 spokes model and then the tagline of the 11:20 campaign is it couldn't possibly be 11:22 worse and then I watched that debate and 11:25 thought it couldn't possibly be worse 11:35 some be like Mr Shannon Mr Shannon uh 11:38 what do you think about policy in the 11:40 Middle 11:41 East I'd go you can make money with well 11:45 what the AI had to 11:48 [Laughter] 11:58 say good Lord people what are we doing 12:01 with our lives all right lots and lots 12:04 of new Chips most aren't ready or don't 12:06 have info out yet so Pate what you're 12:08 saying is the video about those chips 12:10 can't be relied 12:12 upon huh interesting it's not normally 12:15 how we run things around here if I see 12:17 it in video I assume it's 12:21 fact that thing that thing the rabbit 12:25 they said they had a large action model 12:27 turned out it's just a bunch of macros 12:32 you have a good sense of humor it took 12:34 me a while to realize very awesome 12:36 videos thank you very much yeah my sense 12:39 of humor so part of my part of my humor 12:42 philosophy is you have to commit uh and 12:45 then some people get it some people 12:47 don't but if you if you half ass your 12:49 comedy you just you'll never be funny to 12:51 anyone so you just got to you just got 12:53 to lean in and go for it so yeah a lot 12:57 of times people like oh you were joking 13:00 [Laughter] 13:04 oh good lordy lordy lordy I'm saying 13:07 that thing about 500,000 tokens had 13:10 exactly zero info but Pate it was a 13:13 really cool picture like it looked like 13:16 Darth Vader on a chip 13:19 so they can't have lied about the amount 13:23 of actual compute power in that thing 13:25 because it looked that cool 13:27 it's it's kind of like you know a 69 GTO 13:31 Judge like it's not going to be slow I 13:34 mean look at 13:35 it you 13:38 know see again I 13:41 think here's the thing your PhD in 13:45 mathematics is really constraining your 13:48 ability to Envision the 13:51 future cuz you're like applying logic 13:53 and reality to the situation and see I'm 13:58 free of those 14:02 constraints my degree in acting I can 14:04 look at a completely madeup story and 14:07 make it seem real in 14:09 [Laughter] 14:15 here ah it sure was an 14:19 image that's why they put the pin stries 14:21 on it make it go faster exactly you're 14:25 starting to get it P's coming around 14:28 he'll be he'll get here he's fine he 14:30 just you know what he just needs to he 14:32 needs to take it one step at a time 14:35 first you paint it orange then you put 14:37 on the graphics and if you got the right 14:39 Graphics that car is 14:44 [Laughter] 14:47 fast oh good lord what are we going to 14:51 do 14:54 people oh man all right there's a bit of 14:58 Whimsy to it all we know know that we 15:00 know what's happening here yeah yeah 15:03 yeah yeah that's what I'm seeing mhm 15:07 futurist says gazing into the future 15:09 requires science I picked paid on my 15:11 team yeah exactly yep you got you got to 15:14 have you got to have someone like PA on 15:16 the team absolutely walked in on paint 15:19 in Orange Kyle's muscle cars or 15:22 Stonehenge uh it was muscle cars yeah 15:24 the Stonehenge thing I you know I failed 15:27 to see where desecrating 15:30 monuments serves anyone in any 15:34 way just makes people look like [ __ ] 15:40 [ __ ] like all right you're going to 15:43 spray paint Stonehenge then I'm going to 15:45 I'm going to vote for drilling 15:47 everywhere drill in the middle of the 15:49 nature 15:53 reserve oh man can AI be used to assist 15:56 inventors to write their patent claims 15:58 yes 16:01 yes and and in 16:04 fact that'd be kind of interesting let's 16:07 go play with that for a second 16:16 um I'm trying to 16:25 think I know I've got a couple of 16:27 patents for Story vine I'm trying to 16:29 think if there's something I could do 16:30 with them 16:32 um like I think what could be 16:34 interesting is you could take patents 16:36 you could take the claims of 16:39 patents you could have Claude or cat GPT 16:42 explain the 16:44 claims and then you could take three or 16:48 four patents in a similar area and then 16:51 say 16:52 identify gaps in the claims that I can I 16:56 can write claims in the gaps between 16:58 this prior art I would think you could 17:00 do that pretty quickly wow Tik Tok 17:02 didn't even show you a live from me 17:03 forever hooked what's up with 17:05 that well we started out with like 80 17:08 people in here or 75 people or something 17:10 like that and then it's come down so I 17:12 assume it's a bunch of people that were 17:14 like Tik Tok was like all right we 17:16 didn't show your thing to anyone last 17:18 night we'll show it to some people 17:19 tonight and they were like um yeah uh 17:22 why am I getting all these old guys 17:24 maybe could we get more of the girls in 17:26 the bikinis why is he wearing a man 17:28 manini I can't watch this so yeah so we 17:32 lost we lost some of the The 17:35 Interlopers who were disappointed in 17:37 what they saw I personally I'm going man 17:40 candy but you know Lord digital Gods 17:43 title gifter once again thank you very 17:45 much 17:47 sir I was writing to the dedication to 17:50 the book 17:52 today mention Lord digital Gods I'm in 17:55 the middle of writing about the 17:56 Irregulars right now 18:03 I talked to Cindy [ __ ] we're GNA she's 18:05 going to help me with the publishing of 18:07 this bad boy we're going to get this 18:08 [ __ ] 18:10 published we're going to get this 18:13 out 18:14 um so it's going to be good it's going 18:17 to be good good 18:18 good Oh I thought it was the bikini 18:21 Channel it is I did you miss you weren't 18:24 here early when I was in the manini 18:26 because it I was in the pink one did you 18:28 didn't see that the pink one I've got 18:31 like Borat I've got the lime green one 18:34 then I got a pink one and I have kind of 18:36 a like a a chiffon 18:39 yellow which is really really 18:45 nice thank God no be right B be right 18:50 back reporting this 18:55 live listen I 18:59 I really 19:01 do I'm 19:04 excited hang 19:06 on I'm excited to really share with 19:11 you 19:15 Madagascar vanilla 19:19 beans yeah see here I'm really excited 19:23 about the 19:25 Madagascar uh vanilla beans it's it's 19:28 just 19:30 $1,150 and you know you can make money 19:33 with I mean if you've made 19:37 cheesecake and you use vanilla extract 19:40 oh my God that's 19:41 embarrassing you've got to you've got to 19:44 Freshly 19:45 press moist tasty Madagascar vanilla 19:49 beans it's only 1,500 bucks for a third 19:53 of a pound you see what I'm saying so 19:56 that's the thing I'm most excited about 19:58 in AI this week uh have you seen the uh 20:02 the new 3D printers [ __ ] amazing well 20:05 I got to show you there's a there's a 20:06 plug that you can plug in and it turns 20:09 two outlets into six and it's got a 20:11 nightlight on it oh my God this I the 20:14 the I'm so excited about the new 20:16 direction of the channel yeah exactly 20:18 Roberto exactly Madagascar vanilla moist 20:22 exactly digital Gods you got to have you 20:26 got to have the right moisture content 20:29 you don't want it dry you want it 20:32 moist I think we all know that I think 20:34 everybody knows that instinctively it's 20:37 why everybody loves that 20:42 word oh you know what else you should do 20:46 if you know a millennial or a genzer or 20:51 a uh uh I of there's there's like three 20:54 or four new ones the younger people if 20:56 you know any younger people do it right 20:58 now take out your phone if you're 21:00 watching this on your phone take out 21:02 your phone and just text 21:05 them thumbs up just no context just 21:09 thumbs up text it to them right now 21:12 they'll love it they'll love it because 21:14 you know what you're saying to them 21:17 you're all right man and you know how 21:19 they'll interpret it that was 21:22 aggressive is is that is that are you 21:25 being cynical is that it's a little 21:27 aggressive don't you think is it 21:31 and just you know when they respond have 21:34 fun go nuts 21:36 anyway um if you want to buy the 21:38 Madagascar vanilla you just click on the 21:41 link below and you go there and it's 21:44 just it's you're going to it it ships 21:47 from China it's cuz it's they they uh 21:51 they coordinate the 21:54 madagascarians vanilla through the 21:56 Chinese ports and you should have it 21:58 with in by 22:00 Christmas all right 22:04 so be right back texting my 22:07 son I'm no longer with speaking with 22:10 anyone younger than Gen X I'm off to 22:12 work for this 22:15 summer thumbs 22:19 up oh good 22:21 lord Biden addresses the watch party in 22:24 Atlanta at the watch party they're like 22:27 H yeah it's awesome it's good thumbs up 22:30 buddy he did 22:32 [Laughter] 22:41 good Pinkie's out cuz we 22:46 classy $1,500 for [ __ ] vanilla you 22:51 got to be kidding me I told my colleague 22:54 to embrace the Jank today that's awesome 22:56 we're going to get the books going by 22:58 the way 23:00 I think I'm going to figure out a way in 23:02 Kindle 23:04 publishing to do a two for one or not a 23:07 two for one like a a special deal if you 23:09 buy a pair of 23:11 books 23:13 because I forget whose genius idea it 23:16 was might have been Lord digital 23:19 Gods because it's a book of quotes 23:22 you're going to want one for the living 23:23 room and one for the bathroom and you 23:25 know if you have multiple public 23:27 bathrooms in the house where you know 23:29 there's traffic you might want to order 23:32 three or four all right so you're going 23:35 to you're going to love it when's it 23:37 going to be out I don't know yes my 23:40 photo oh yeah that was your photo that's 23:41 right that's 23:44 right here let's go look at let's go 23:47 look at digital God's photo uh about the 23:51 strategy for for um buying the embrace 23:57 the Jank books 23:59 there's there's me at the debates with 24:02 Frank couldn't possibly be worse and 24:06 then 24:08 oops and then here is wait 24:13 where yeah here it 24:17 is I couldn't decide where to put my new 24:19 book the living room or the bathroom so 24:22 this solved 24:26 it this is why you want to buy two cop 24:29 have embraced the Jank you don't want to 24:31 be that 24:32 guy I love his 24:35 [Laughter] 24:41 eyes oh man um oh I did a cool thing 24:46 today I'll show you let's see I was at 24:50 Claude yeah so this was my big long ass 24:53 prompt where we wrote the book last 24:56 night and by the way it's not a prompt 24:59 that wrote the book it was like a series 25:01 of I don't know 20 or 30 prompts that 25:03 wrote little chunks of the 25:05 book and then 25:12 today I 25:20 [Music] 25:23 wrote I said give me 10 visual concepts 25:27 for the cover art of the book describe 25:30 the images in detail I can use as a 25:33 prompt for image generation tool be sure 25:36 to include the title of the book embrace 25:38 the Jank into the image and oh I don't 25:42 think I added the exclamation point on 25:44 the cover I got to fix that don't I oh 25:48 no it's there okay uh also include the 25:51 aspect ratio for a typical book cover 25:54 and then it wrote it without the 25:56 description or the the uh 25:59 aspect ratio so then I said 26:02 include the specific style of 26:06 each and then so I did 10 I did 10 26:09 prompt descriptions and then I went over 26:12 to chat 26:19 je yeah I quote summary no embrace the 26:22 Jank 26:24 framework is this it no here let me 26:27 reload this 26:30 longing to be on the 26:33 inside longing for love just a 26:38 little she found herself as a guest in a 26:42 nervous 26:45 Hospital where's my where's my [ __ ] I 26:48 wonder if I did it in in another 26:55 account 26:57 no huh 27:01 H 27:04 strange generating artwork is this 27:08 it yes okay all right so I went to chat 27:13 GPT and I went to DOL the the dolly 27:17 GPT and I just pasted in all the prompts 27:20 I said here are 10 part prompts for 27:23 artwork for the cover of a book go make 27:26 that [ __ ] and because of the way they 27:28 coded the the dolly GPT it produces two 27:31 images for each prompt so I got 20 27:33 images right out of the 27:37 gate so that was one I almost went with 27:40 surfing the tsunami and the only reason 27:42 I didn't is it's a little cliche the 27:44 digital 27:46 wave and that that blue and purple is a 27:49 little and it's a little boring and 27:51 tried I published a couple books on 27:53 Amazon there's a template you can follow 27:56 yeah I've got um I talked to Cindy today 27:58 she's just like just put it in a word 28:00 Dock and we'll follow the thing so she's 28:02 going to help me make it that's yeah I'm 28:05 excited about it so there's that it it 28:07 made the embrace the Jank like really 28:09 small on a lot of these here it's 28:10 non-existent but that one was kind of 28:12 cool but it's a little messy that one 28:15 just feels cliche and crap this one felt 28:18 cute and right and like it's like 28:21 Embrace but the ease all [ __ ] up there 28:23 the Jank which was I almost kept it like 28:25 that but it it doesn't quite look on 28:28 purpose 28:30 um that one's just crap the tornado of 28:33 information is fine that's 28:36 fine like you know these tools when you 28:38 have them come up with Concepts it 28:41 basically comes up with what you'd 28:42 expect but I thought the style of the 28:44 robot was pretty good so here here was 28:47 one where I tried to change the E and it 28:49 it completely recreated the 28:53 image um I forget what I did with that 28:56 one 29:00 Andra the Jank and then I kept trying to 29:03 edit the the end of the word Embrace and 29:05 broco the 29:08 Jank and Bronco the Jank it just kept 29:11 doing it embrac the Jank I tried to get 29:14 it to do by Kyle Shannon somewhere in 29:16 the image just wouldn't do 29:19 it and 29:22 then so this is the one I took over I 29:25 took this over to one of the there was a 29:27 free 29:29 image upscaler that would upscale it 2x 29:32 bigger for 29:34 free 29:38 um oh yeah Danielle that's a good idea 29:41 all right so so anyway okay yeah I'll do 29:43 I'll do that in a second Daniel that's a 29:45 really good idea I love this AI space 29:47 thank you June Mary well the whole idea 29:49 here is play 29:52 First and the whole reason for that is 29:55 stuff is moving too fast and it's 29:58 impossible possible to keep up with it 30:00 so if you get yourself in a in a playful 30:04 mindset you'll explore things you 30:06 wouldn't have otherwise done right cuz 30:08 if you're not in a playful mindset 30:09 you're like I got to make work more 30:10 efficient I got to be more efficient I 30:12 got to learn these tools I got to and 30:14 you put all this pressure on yourself 30:15 and it's totally [ __ ] intimidating 30:18 but if you're just like oh screw it I'll 30:19 just have some fun let's go let's go 30:22 right a book in two 30:24 hours like what's the downside if 30:26 embrace the Jank is a shitty book book 30:29 which it's not you were there when I 30:30 wrote it it's actually pretty good but 30:32 what is the downside if it's a shitty 30:34 book you're like oh it's a janky book 30:38 about AI written by some dude on a 30:42 channel using AI H that's kind of janky 30:44 it's right there in the title it's on 30:47 brand if this thing's a piece of 30:49 [ __ ] you should embrace it or you 30:52 shouldn't brocco 30:55 it you shouldn't brocco the Jank 31:02 um so then I did this this morning this 31:05 was kind of 31:07 cool I took the book the transcript of 31:11 the book and I put it in the 11 Labs 31:21 app hang on let me quit it I got to re 31:24 start and log in I think 31:28 embrace the Jank embrace the Jank 31:31 embrace the Jank embrace the world what 31:33 you've 31:35 got all right so let's 31:38 see Pixar bright let's see I did who was 31:42 it was it Alice yeah I think it was 31:44 Alice but these are not normal times in 31:47 our politics Washington is as divided as 31:50 ever the fox has many tricks the 31:52 Hedgehog has but one but that is the 31:55 best of all I think that was her 32:02 Lily all right so what I 32:06 did if you don't know 11 Labs who does 32:10 voice 32:11 synthesis um launched an app yesterday 32:15 and it's called reader and what it does 32:19 guess I'm bringing a bunch of Ed cred 32:23 evaluators to the salon awesome June 32:25 that's terrific 32:26 fantastic yeah get get uh connect with 32:29 Stacy and she'll she'll steer you to the 32:32 to the right location to join the 32:33 education Guild and just get them in 32:36 there I I mean seriously anything they 32:39 can do to just jump in jump into 32:41 conversations share images just put 32:43 stuff there um it'll serve them well so 32:46 anyway so I took the book and put it in 32:48 reader and what you can do with reader 32:50 is have it read your book so 33:02 there's the there's the book embrace the 33:05 junk playing your way to AI literacy 33:09 quotes from Kyle Shannon on the future 33:11 of AI called from more than 750 hours of 33:15 lives from the AI learning lab on Tik 33:17 Tok Tik tok.com J learninglab Kyle 33:21 Shannon is not your typical 33:28 come on all right future AI Wizards 33:31 strap in you're about to embark on a 33:34 wild Journey towards AI literacy and 33:37 this book is your irreverent guide right 33:40 now forget the stuffy Tech manuals we're 33:42 diving into the trenches of the AI 33:44 learning lab switch the voice to a model 33:47 of me lab where we don't just theorize 33:50 about AI we wrestle with it daily this 33:53 isn't about becoming some AI Guru 33:56 overnight it's about embracing the messy 33:59 exciting sometimes ridiculous world of 34:02 artificial 34:03 intelligence we're going to walk you 34:05 through the three stages of AI badassery 34:08 play first where you'll make mistakes 34:10 and have your mind blown mindfully 34:13 create where you'll actually solve real 34:15 problems and generously lead where 34:18 you'll help others and build a kick-ass 34:20 community so whether you're a tech so 34:23 what was cool 34:25 was as I drove to work 34:30 I listened to the book so here's the 34:32 first section of quotes AI adoption and 34:34 urgency one shit's going to get weird in 34:38 2024 two 2023 was the last normal year 34:42 three buy a [ __ ] surfboard and start 34:45 paddling four embrace the Jank five if 34:50 you haven't had a Kevin mallister moment 34:53 and what was cool what was cool was 34:55 listening to it as kind of a I did it 34:57 with the the British woman voice cuz 34:59 listening to myself all I hear is how 35:01 how much it's not like me but with her 35:04 voice like I don't know her 35:06 so let's see which one did I use I used 35:09 Lily 35:16 right chap GPT you're not doing it right 35:21 six the beginning is here seven if you 35:25 think you're behind you're really not 35:28 behind you're 35:30 ahead eight it was just cool hearing 35:33 it hearing it kind of like a podcast it 35:37 was a different kind of proof reading 35:39 and it was like some of the quotes were 35:41 like oh that's not really a good quote 35:43 or that's someone else's quoted but I 35:44 just said it right 35:48 um and I was just kind of mindlessly 35:50 listening to this book I wrote last 35:54 night was wild it was pretty cool 35:58 I think the British accent is much more 36:00 slick yeah I agree exactly read her app 36:02 from 11 Labs exactly that's what it is 36:05 she probably thinks it doesn't sound 36:07 like her either yeah exactly exactly 36:14 um the thing 36:17 that some of the writing of the 36:20 sections because it used all of my 36:23 quotes and it's and it because it it 36:25 grabbed quotes where I'm sort of being 36:27 you know know my high personality self 36:30 on here it really captured my 36:32 personality like when I was listening to 36:34 it read back those 36:37 paragraphs I was like I was just nodding 36:40 like yeah yeah that's good that makes 36:41 sense and normally when I listen to 36:43 stuff I'm listening more critically and 36:45 it doesn't sound like me and that 36:48 sounded pretty good 36:50 the the big Revelation for me last 36:55 night was 36:58 the amount 37:01 of 37:04 value that's in recording 37:08 [ __ ] because historically and this used 37:10 to be how we used to sell Story vine is 37:13 we said the the world's largest 37:14 unstructured data set is video because 37:17 it's time based and it's really hard 37:21 to watch all the hours of if you shot 37:23 hours of video someone's got to sit 37:25 there and watch that [ __ ] and take notes 37:27 and 37:28 put in time 37:30 codes not with 37:32 AI digital Gods pulled down transcripts 37:35 from 750 37:38 hours of me [ __ ] babbling 37:43 nonsense and it just went in and found 37:45 it all and and then you know in just 37:48 [ __ ] with it last night it kind of 37:49 Spun up this idea oh maybe this could be 37:51 a book and then before we know it we had 37:53 a 37:54 book and it's 37:56 like how many other pieces of 37:59 interesting content are in there from 38:02 750 hours probably a lot like you know 38:08 and and the tools right now just suck 38:10 right the tools are like he's got the 38:12 transcript of the text but it doesn't 38:15 have all the you know like the tone and 38:19 things like that well when real- time 38:21 voice comes out if open AI ever releases 38:24 it where you've got a model that can not 38:26 only understand the words but can 38:28 understand the 38:30 tone imagine having a model where I 38:33 could take those 750 hours of video and 38:37 have it find all the places where I was 38:39 being 38:40 sarcastic and just cut together a 38:44 smartass Kyle Sizzle 38:48 reel and it 38:50 will here's where he was sincere here's 38:53 where he was crying because he was 38:55 talking about you know being an 39:00 artist next book The rants of Kyle yeah 39:02 exactly 39:05 exactly find the moments where Kyle 39:07 talks for more than half an hour on a 39:10 single subject and just grinds the point 39:14 you know into a 39:17 pulp on average that was every three 39:25 days Biden Aid on the debate not an 39:28 ideal 39:29 start you 39:31 think oh good 39:34 [Laughter] 39:40 lord I want the waxing philosophic Kyle 39:42 too yeah exactly I mean 39:46 but so so here's what's here's what's 39:49 kind of tripping me 39:52 out this is 39:55 a this is going to be hard for us gen 39:58 xers it's going to be hard for everyone 40:00 but I think it's going to be hard for us 40:04 is I'm a 40:06 writer I I've written seven screenplays 40:09 I like writing I like 40:12 Words somewhere in my brain I've got it 40:16 wired that I can't write a real book 40:19 like a screenplay that's not really a 40:21 book that's just a that's just like 40:24 dialogue and [ __ ] and so I kind of I 40:27 kind of dismissed that right but I think 40:30 a real book that's that's like you know 40:33 I got to have thoughts and and I got to 40:36 be able to articulate them and I got to 40:37 be able to organize them and it just 40:38 with my ADD it just feels 40:42 like now I've got a [ __ ] hell of a 40:47 life I got a lot of stories going on 40:50 right 40:52 and like I did a whole series of videos 40:56 the when when Co when lockdown started I 41:00 started a a daily 41:03 video called The extroverts View From 41:06 Within and those are only 3 minute 41:08 videos three or 4 minute 41:10 videos but I did every day for a year 41:13 being locked down in Co I think six 41:16 people might have seen that there's 41:18 probably a book in 41:20 there and I don't have to like figure it 41:23 out like I can just 41:25 say go watch all the videos 41:28 and tell me tell me what's an 41:30 interesting book out of this what are 41:31 the 41:33 themes what's the emotional Arc what's 41:36 the what's the narrative Arc of when 41:38 Kyle was hey this is fun being locked 41:41 down for like 30 days and then 60 days 41:44 in he's like it's not as much fun now 41:46 then he realized oh [ __ ] this going to 41:48 be for a while and he went down Into the 41:50 Depths then he came back up then he 41:53 started playing with it then he went 41:54 back down then he started talking about 41:57 how sh [ __ ] his hair 41:58 [Laughter] 42:01 looked then his then his business 42:03 partner started talking about how shitty 42:05 his hair 42:05 [Laughter] 42:08 looked but just we've all 42:11 got if you've put [ __ ] in the world if 42:13 you've if you've done anything if you've 42:16 written half a novel if you've written 42:20 poetry for your whole life and you're 42:22 like oh someday I'll type that all in 42:25 you don't have to now just take pictures 42:26 of it throw it in the GPT it'll type it 42:29 up and all of a sudden all your little 42:31 scraps of 42:33 paper are in there as images and as 42:38 words and you could throw that thing 42:42 together and then you could go oh take 42:43 all of those 42:46 and create a songwriting GPT that only 42:50 writes lyrics in the style of my 42:53 poetry just our ability to leverage our 42:56 own data and then any company's ability 42:59 to leverage their own 43:01 data is 43:11 crazy as an educator recording my daily 43:15 lessons then have end of the year book 43:17 great idea absolutely yeah 43:22 exactly and in fact you know Mr Studio 43:26 like I would say Allan I I would say 43:29 that it's even more exciting than that 43:31 like I would say if you've recorded all 43:34 that stuff you've got all the 43:35 transcripts of your 43:37 lessons get them all in 43:40 um you know text text files or 43:44 PDFs upload them to a GPT and then give 43:48 access to your students to the GPT so 43:52 that they have an interactive they can 43:54 interact with all of the lesson of the 43:58 previous 44:00 year I mean there's just something wild 44:03 about 44:11 that 44:14 yeah this is the thing I I'll I'm going 44:17 to be talking about this tomorrow on my 44:19 content Evolution call and on on my 44:21 office hours call is just this idea of 44:26 the the thing that I am 44:36 I'm struggling to get my head around 44:42 is when I thought about making gpts when 44:45 gpts first came out I thought oh we're 44:48 going to make these gpts you're going to 44:49 put them out in the world everyone's 44:50 going to use your GPT and then at some 44:52 point if they do monetization you know 44:54 we can you can make money with 44:58 and then that didn't come to pass and 44:59 then lots of people were enthusiastic 45:02 about making gpts but no one really had 45:04 access to them and no one was using 45:07 them and then I kind of thought of it 45:09 like oh gpts are a 45:13 failure and then The more I've been 45:15 using these gpts that we made digital 45:18 twins of all these professionals we now 45:21 have 20 different digital twins in a 45:23 single GPT from content 45:26 Evolution and 45:28 what we're trying to figure out right 45:29 now is how do we use them for 45:32 us it's not even about other people 45:35 using them it's like what does it mean 45:38 to have a digital twin and then what 45:40 does it mean to have oh that is 45:43 beautiful forever hooked never saw the 45:46 little feather makeup thing I could be 45:49 an exotic dancer I I'll get my manini 45:52 I'll which color what 45:55 color um 46:01 lost my Chain of 46:04 Thought my my own image of me and a man 46:08 keini made me throw up a little in my 46:14 mouth I made a GPT for my fortune 14 46:18 company's Global comms function nice 46:22 beautiful yeah cuno is killing it Chris 46:24 you're doing great that's 46:26 awesome memory 46:29 Frozen we're talking about manicure I 46:32 was talking about 46:35 manicure not manicure I hate it when 46:37 that happens what was I talking 46:40 about um learning how to use our own 46:47 gpts oh he was talking about digital 46:49 twins yeah yeah yeah 46:53 um here let me let me show you something 46:59 all right here I am at chat 47:02 jpt I'm going switch over to my content 47:05 of evolution 47:09 account longing to be on the inside 47:13 longing for love just a little she found 47:16 herself as a guest in the nervous 47:20 Hospital weird Mar from Ceda hill come 47:23 on where's the gpts why don't they show 47:26 up 47:29 explore GPT four more 47:35 okay so this is the the C profiles 47:39 complete digital twin portfolio so the 47:41 little pre-done questions 47:44 here 47:46 are show me a list of available profiles 47:49 who can support my AI strategy 47:51 development I'll do that let me do that 47:52 one because that should bring up my my 47:54 little profile 48:00 Mike Maguire Kyle Shannon Mark 48:02 prky so it gives a little bio for each 48:05 of 48:06 us and then it talks about what we talk 48:09 about and for some reason it's not 48:11 showing our images it used to show them 48:13 but we got to fix that 48:16 um let's see 48:18 um um I want a panel 48:25 of five CE 48:29 Pros to talk about the 48:34 future 48:38 of 48:41 work 48:43 after AI 48:50 democratizes 48:52 specialty 48:55 skills and then I'm going to say uh so 48:57 so who are the 49:03 best five so the the way we made this is 49:07 we've got interviews with each of the 49:09 professionals which is kind of this 49:11 rounded think think of it like 20 49:13 questions where each person did a video 49:16 interview and we did it as video video 49:18 interviews because we wanted how people 49:21 talked rather than how they wrote write 49:23 because how people write is very 49:25 different than how they talk 49:27 oh Kazi amazaki nice so from Japan Rick 49:30 lroy nice Mark prensky Kyle Shannon Mike 49:34 Maguire okay great so now I'm going to 49:37 say 49:41 um have a round 49:45 table 49:55 discussion and so we prompted this in 49:58 such a 49:59 way that it acts as a 50:02 facilitator and so it says facilitator 50:04 welcome everyone thank you for joining 50:06 this round table discussion for the 50:07 future of work after AI democratizes 50:10 specialty skills to start how do you 50:12 envision a future Workforce adapting to 50:15 AI democratizing specialty skills Mike 50:17 Maguire I see the de democratization of 50:20 AI leading to more collaborative and 50:22 more flexible Workforce Mike used to 50:24 work for Gartner um as AI handles more 50:27 specialized tasks the human Workforce 50:29 will need to need complimentary stuff 50:32 and then let's see it goes down there 50:34 facilitator excellent points let's 50:36 everyone delve in so so 50:39 let's let's go 50:45 um why don't you ask each person one at 50:49 a time and then based on their answer 50:52 ask someone else a qu 50:55 question so that 51:00 this is a series of responses that 51:03 inform one 51:07 another certainly let's do this 51:09 dynamically first let's start with you 51:11 Mike how do you envision the future 51:13 Workforce so Mike says that facilitator 51:16 Kyle Building on what Mike said about 51:17 fostering an environment of C 51:19 collaboration how would you see AI 51:21 transforming the 51:25 role of 51:28 content creation and 51:30 storytelling me AI will significantly 51:33 streamline the production process making 51:35 highquality video content more 51:37 accessible at storyvine we focus on 51:39 automating video production but the 51:41 human touch and storytelling will remain 51:43 crucial AI will assist in creating the 51:46 content but humans will be needed to 51:48 ensure the stories are authentic and 51:50 impactful the role of content creators 51:52 will shift toward curating and and 51:54 enhancing AI generated content adding 51:56 emot depth and creativity which is not 51:59 bad um and then you know Mark you know 52:02 considering AI Kyle's insights on AI 52:05 what's your what's your 52:07 POV 52:09 so imagine this when you've got video 52:12 avatars of all of these 52:16 professionals and just as quickly as we 52:19 whipped up the book last night in like 52:22 an hour or so you could put together an 52:25 hour of programming 52:27 that is the video avatars of these 52:30 professionals talking from some point of 52:32 view and you could just knock those 52:34 things out 52:36 daily if you wanted 52:40 to right really 52:42 specialty um 52:45 subjects and you know it it would talk 52:48 to them in some form of good and as as 52:51 we get better with these things we'll 52:53 figure out more and more what that's 52:54 like and it's kind of like 52:57 it used to be in in the world of 52:59 business Consulting the the deal was 53:01 you'd write a book you'd get your book 53:03 published or you'd self publish it and 53:05 then your book becomes the calling card 53:07 for you to go do speaking gigs and then 53:09 you go do speaking gigs and then people 53:11 meet you and they're like oh he's really 53:13 smart he's not an [ __ ] I think I want 53:15 to work with him and then you would get 53:18 work well now we can just sort of spin 53:23 these things up as if it were all of 53:26 these people coming together at a 53:27 conference and put that out in the world 53:30 and let people meet these professionals 53:32 and sort of hear where they're coming 53:33 from and even if it's not completely 53:35 accurate as long as it's in the 53:38 neighborhood right someone will go oh I 53:41 you know Mike Maguire worked for Garder 53:43 I kind of like his his uh his answers 53:46 here I'd like to talk to him for real 53:49 so what becomes the new 53:52 book in the future of work and and 53:56 what's your relation reltionship to your 53:57 digital 54:01 twin or your digital 54:03 twins you might have dozens of 54:07 them you might have some that have your 54:09 name some that don't have your name some 54:11 that have your likeness some that don't 54:12 have your likeness some that are super 54:15 professional some that are super 54:19 zany so 54:34 it's funny the organization is called 54:36 content 54:37 Evolution we are in the middle of 54:40 content 54:45 evolving I created a 54:49 model of my point of 54:51 view that got built into that 54:54 GPT that was my contribution 54:57 answering 25 questions in a video 55:01 interview and then at some point we'll 55:04 take the video recording of that 55:06 interview and make a model of 55:08 me so you'll be able to talk to 55:11 me at the time I 55:14 recorded 55:16 that version of 55:25 me and then at some 55:29 point imagine that I've got some sort of 55:32 manager of personas of my my digital 55:38 Miis and I could say I want to take the 55:41 Tik Tock live me and I want to take the 55:43 professional CE me and I want to take 55:45 the story Vine CEO me and I want to 55:47 merge them 55:48 all so I want a version of me that's got 55:51 some mix of all those 55:57 and what if those things get good enough 55:59 that they can go on speaking 56:05 circuits why 56:09 not go give some sort of AI speech at 56:13 some Fortune 500 company there going to 56:15 be a zoom call anyway cuz they didn't 56:17 want to fly me out and put me in a 56:22 hotel Kyle have you talked with CE about 56:25 how you protect your personal brand once 56:28 you've been digitized we're confronting 56:30 that a lot it's a really good question I 56:33 I wouldn't say that we're well yeah 56:35 we're talking about the personal brand 56:37 so so I'll give you an example every 56:39 week for the past month Kevin Clark has 56:42 been writing an article no Kevin Clark 56:45 has been using our Master GPT he created 56:48 a prompt to write an 56:50 article then it writes the article then 56:53 he takes that article and he has um 56:57 he has three CE professional digital 57:00 twins comment on the 57:04 article 57:06 and two weeks 57:08 ago he put He put four four quotes in 57:11 there of digital Twins and one of the 57:13 guys in content Evolution was like I 57:15 don't want you to use it and not because 57:18 he didn't like what it said just because 57:21 he hasn't spent enough time with his own 57:24 GPT to understand the implications of it 57:27 and how it works and what it's good at 57:29 and what it's not good 57:31 at and then one of the other guys got 57:35 really concerned with um what if my 57:39 digital twin what if I get attributed as 57:43 a 57:45 quote something that I don't agree with 57:48 and I I had one yes or three days ago 57:50 Kevin sent me one where I was quoted and 57:53 it said the opposite of what I believed 57:56 and so I just I just wrote I said well 57:57 no here's what I would say so I said 57:59 just use use use what I would actually 58:02 say um so in the case of content 58:04 Evolution we're doing a professional 58:06 courtesy of checking in with 58:09 everyone 58:17 but I mean if you've ever been on a 58:19 video call and someone records 58:24 even 15 seconds of your 58:28 likeness they'll be able to do one of 58:30 these of you so I so I think people are 58:33 going to be confronted with people using 58:35 and I wouldn't even call them deep fakes 58:36 they're just they're just digital twins 58:38 they're they're some version of 58:43 you so I think that's something we're 58:46 going to have to all 58:51 confront did something happen to Del 58:55 what do you mean when you're 65 you can 58:58 listen to 55y Old you 59:01 yeah and when someone passes away or you 59:05 know one of the things we talked about 59:06 with content Evolution so content 59:08 Evolution's been around for 22 59:11 years and you know some of the people 59:14 now you know maybe they've had you know 59:16 some sort of health issue and they can't 59:19 talk anymore maybe they passed away a 59:21 lot of the people in content Evolution 59:23 have big bodies of work so what if we 59:27 took the big bodies of work 59:30 of these 59:32 professionals and get the blessing of 59:36 their spouse and create a digital twin 59:39 and let them be active in this master 59:42 GPT where they could participate in one 59:44 of these Round Table 59:48 discussions and why not throw in 59:51 Alexander Hamilton into the mix as well 59:54 like curating 1:00:01 creating 1:00:03 creating it's it's not content well I 1:00:05 guess it is content creating content 1:00:10 entities by curating different 1:00:12 personalities to put in them like that's 1:00:14 going to be a skill and understanding 1:00:16 how you would use a tool like 1:00:22 this like it gets really weird really 1:00:25 fast you could take a bunch of 1:00:28 professional 1:00:29 profiles and then you could say I want 1:00:34 the three of them that have the most 1:00:36 oppos opposing points of view I want 1:00:39 those three people to collaborate on a 1:00:41 screen play and then I want to watch 1:00:43 that 1:00:46 movie and then it'll be whatever movie 1:00:48 written by those three with their 1:00:50 different points of view and then okay 1:00:52 great now I want to see the documentary 1:00:55 of how they made that mov movie and it's 1:00:57 some fictitious documentary of them 1:00:59 fighting 1:01:02 and I mean that's kind of 5 years out 1:01:04 but it's not 10 years 1:01:06 [Laughter] 1:01:09 out so what's that 1:01:17 skill this is why the COO of Black 1:01:21 Rock you know like the company that owns 1:01:24 everything 1:01:26 is hiring liberal arts analysts right 1:01:31 now not Engineers not 1:01:34 mbas liberal arts analysts for Black 1:01:44 Rock cuz someone with a degree in 1:01:47 dramatic writing or 1:01:51 philosophy is going to be really good at 1:01:53 thinking about like thought experiments 1:01:56 about 1:01:56 okay I've got 50 people in some digital 1:02:02 entity that I can play with what would 1:02:05 be interesting ways to play with 1:02:08 them that's not an engineering problem 1:02:11 that's that's a Humanity's problem it's 1:02:14 a psychology 1:02:19 problem there's no 1:02:23 coding it's just all right what 1:02:27 what framework is it going to be a round 1:02:28 T discussion is it going to be Point 1:02:34 Counterpoint are these three going to 1:02:36 collaborate and these three going to 1:02:38 compete and then we're going to see how 1:02:39 their things play 1:02:43 out when these things turn into agents 1:02:46 who can take 1:02:48 action what if I had oh here's an 1:02:50 interesting 1:02:53 idea what if I prompt 1:02:58 so you know how Claude Now can 1:03:02 do it can do coding right and then it 1:03:05 can run the 1:03:06 code so imagine if these you take that 1:03:09 one step further and the these entities 1:03:11 can now take 1:03:15 actions hang 1:03:20 on so what if I take 1:03:25 um three of these 1:03:27 entities and I say I want you 1:03:31 three to start a 1:03:35 business and those three entities start 1:03:37 a 1:03:39 business and they incorporate it and 1:03:42 they raise 1:03:43 money and they they create a bank 1:03:46 account and they put the money that they 1:03:48 raised into the bank account and they 1:03:50 start the 1:03:51 business and the business starts making 1:03:54 a profit 1:03:56 do just I get the money or do I split it 1:04:02 with the 1:04:04 entities that represent people that 1:04:07 contributed to the 1:04:13 GPT shit's going to get 1:04:17 weird this isn't just going to be like 1:04:20 oh it made writing more efficient no 1:04:22 it's going to get [ __ ] weird 1:04:26 and the people that have the ability why 1:04:28 you come to this thing every night is 1:04:31 because first of all you're unstable and 1:04:33 you know 1:04:36 it but second of 1:04:39 all the whole idea with this channel is 1:04:41 just be in the conversation like the 1:04:44 fact that I'm chat add and I'm all over 1:04:46 the [ __ ] place just you know if you 1:04:49 swim in the add lanes and the neuros 1:04:52 spicy Lanes great you'll be fine with it 1:04:54 if you're neuron normal 1:04:57 just hang out here and ignore the that 1:05:00 [ __ ] but just be in the conversation 1:05:03 because at some point I will stumble 1:05:05 onto something or someone in here will 1:05:06 go hey Kyle have you thought about this 1:05:08 and it'll run me down a rabbit hole and 1:05:11 all of a sudden you'll be thinking in a 1:05:13 completely different way and you go oh 1:05:15 let me go try that with an AI thing and 1:05:17 then you'll try it and something will 1:05:19 happen where you'll go 1:05:22 H I have an idea and it'll run you down 1:05:25 no we're we not weird that's one of the 1:05:28 quotes in the 1:05:31 book in fact you want to read what I 1:05:34 wrote or I'll read what I wrote what I 1:05:37 have so 1:05:44 far um so I I thank digital gods for the 1:05:49 work that he did and then I say digital 1:05:51 Gods is just one of a growing merry band 1:05:54 of adventurers who frequent the AI 1:05:56 learning lab lives nightly who have 1:05:58 proudly named themselves the Irregulars 1:06:01 very early on in one of my lives I 1:06:03 noticed that there were people showing 1:06:04 up night after night and one night I 1:06:07 said y'all are a bunch of weirdos and 1:06:10 Amelio's wife Serena declared we're not 1:06:13 weird we're 1:06:15 irregular that's all I have so 1:06:19 far it's it's all out we're weird and we 1:06:23 know it 1:06:26 oh 1:06:37 man some of the stuff we do with AI is 1:06:39 going to be very 1:06:42 pedestrian but then some of it's going 1:06:44 to 1:06:45 be like imagine 1:06:58 imagine if you were super obsessed with 1:07:01 Nicola Tesla and Einstein and Stephen 1:07:06 Hawking 1:07:10 and you either put together something 1:07:14 that had all their information in it or 1:07:17 we're at the stage now where these large 1:07:18 language models are trained on so much 1:07:21 [ __ ] it's effectively all in there all 1:07:22 of their writings all of their thinking 1:07:29 and you're a 1:07:33 physicist and you start a business or or 1:07:37 you you start a research 1:07:40 lab where it's you and 1:07:43 Einstein and Nicola 1:07:46 Tesla and Stephen 1:07:52 Hawking and they're no longer stuck in 1:07:55 whatever they're their 1:07:57 last body of work was 1:08:01 right the system is now smart enough to 1:08:05 imagine how they would solve problems 1:08:08 today 1:08:10 given the contributions of the other 1:08:14 three and given all the other [ __ ] going 1:08:16 on in the world of physics it's aware of 1:08:19 Deep Mind and and that thing that we saw 1:08:22 the other day that can invent 1:08:26 new proteins that are 1:08:28 fluorescent that would have taken nature 1:08:31 500 million years to evolve it just did 1:08:35 it 1:08:38 so what would you do in that research 1:08:46 lab and what if rather than a 1:08:51 physicist you worked at a tire 1:08:54 shop but you were always is kind of 1:08:57 geeky and you always read like 1:08:59 biographies of Nicola Tesla and Einstein 1:09:03 you you read Walter 1:09:06 isaacson's biography of 1:09:13 Einstein and what if as 1:09:16 that tire 1:09:18 technician you had some ideas about 1:09:21 physics that you were afraid to ever 1:09:23 tell anyone about cuz you're a tire 1:09:25 technician 1:09:27 it's not going to go 1:09:31 well and what if you start a research 1:09:34 lab with Nicola Tesla Albert 1:09:38 Einstein and Stephen 1:09:44 Hawking and what if you come up with a 1:09:46 new kind of 1:09:48 physics say a unifying 1:09:52 theory of the 1:09:54 universe and what if it's 1:09:58 right do you go down in the history 1:10:00 books as one of those 1:10:03 three cuz you should you should win the 1:10:06 Nobel Prize and you should be you know 1:10:09 if you're like Joe from 1:10:14 Toledo like Nicola Tesla Albert Einstein 1:10:17 stepen Hawking 1:10:18 and Joe from 1:10:21 Toledo works for the Firestone Tire 1:10:24 center and Toledo Ohio I'm sorry what's 1:10:28 [Laughter] 1:10:37 this it's not out of the realm of 1:10:40 possibility like that's a [ __ ] sci-fi 1:10:48 plot it's not all the real of 1:10:54 possibility listen 1:10:56 I know you want to get back to watch 1:10:57 reruns of the debates I know 1:11:00 that just hang with me for a bit 1:11:05 more they'll still be 1:11:11 there oh my God what's going to happen 1:11:13 in our country can can can I come stay 1:11:16 with anyone else somewhere 1:11:21 else oh I don't give a damn about the 1:11:23 debate please don't go Kyle 1:11:27 is Joe from Toledo any relation from cam 1:11:29 katkin from Cleveland yeah cam 1:11:34 kin's third removed 1:11:37 cousin oh Kyle we're not going anywhere 1:11:40 thank you that's great Italy has a great 1:11:43 real estate market it's too bad we don't 1:11:45 know an actor who's worked in a 1:11:49 lab who's talking to us right now I 1:11:53 know come over to Kentucky we have KFC 1:11:56 the original I [ __ ] that sounds tasty 1:11:59 that sounds 1:12:01 awesome 1:12:03 um that's just [ __ ] trippy and I mean 1:12:05 that's like one like that feels like 1:12:08 surface 1:12:10 level I mean let's make it let's make it 1:12:13 a step more realistic let's say you're 1:12:15 Joe the tire 1:12:17 technician from Toledo and you're little 1:12:20 geeky and so you understand computers a 1:12:22 little bit and you kind of paid atten 1:12:25 mention to when Deep Mind released their 1:12:31 um 380,000 stable crystals they they 1:12:35 they 1:12:37 contributed 600 years worth of Science 1:12:41 in a in a in a 3month 1:12:45 period and you take one of those 1:12:48 compounds that they 1:12:52 discovered and you create a new tire 1:12:54 compound that's both 1:12:58 sticky 1:13:00 and 1:13:02 durable and doesn't it's it's got an 1:13:05 incredibly wide dynamic range or not 1:13:07 dynamic range an incredibly wide 1:13:09 temperature 1:13:11 range where it doesn't have to be heated 1:13:13 up to a certain temperature and you 1:13:14 completely 1:13:16 reformulate Tire compounds 1:13:26 not out of the realm of possibility at 1:13:33 all and the pelli and the 1:13:37 pelli tires for F1 cars they lose their 1:13:41 contract in 1:13:43 2027 because it's now it now says joose 1:13:46 of Toledo on the sidewall of the tires 1:13:49 on F1 1:13:53 cars because they have the attributes of 1:13:56 F1 tires being in the in the best 1:13:59 temperature range all the time in any 1:14:03 conditions oh and by the way they're 1:14:04 really good in wet conditions too 1:14:06 without needing to have 1:14:10 tread I don't know probably not possible 1:14:13 that last one but 1:14:15 still anything is possible 1:14:19 yeah well they have self he healing 1:14:21 machanum but but they don't use it gee I 1:14:24 wonder why 1:14:26 yeah I 1:14:27 know well there's always going to be 1:14:29 that there's always going to be 1:14:30 companies that try to maintain the 1:14:33 status quo and we'll you know bury the 1:14:36 new they'll bury the new Innovations but 1:14:39 what 1:14:40 happens so right now so let me let me 1:14:44 give you let me give you a u an example 1:14:46 let me go look at 1:14:49 um Alpha fold 1:14:52 3 oh we should probably talk about 1:14:54 Madagascar vanilla beans hang on uh 1:14:57 let's see 1:15:00 Alpha fold 1:15:04 three Google Deep Mind Alpha 1:15:10 fold am I late 1:15:27 let's see Alpha 1:15:31 fold I want Alpha fold 1:15:35 3 Alpha fold 1:15:43 three Alpha fold 1:15:46 3 Alpha fold 3 predicts the structures 1:15:49 and interactions of all of life's 1:15:52 molecules 1:16:01 forget what the numbers are the numbers 1:16:03 in here cuckoo 1:16:53 currently without AI it takes one PhD 1:16:57 student their tenure of whatever that is 1:17:01 two two years three 1:17:02 years to discover the the folding 1:17:07 mechanism of a single 1:17:10 protein and they just did all of the 1:17:13 molecules of 1:17:16 life kind of overnight in a 1:17:21 year it's like tens of thousands of 1:17:24 years of or I think it was something 1:17:26 it's like six billion years some crazy 1:17:28 amount of 1:17:30 years of 1:17:38 Discovery and right 1:17:42 now right 1:17:44 now you've got 1:17:56 all right you 1:17:59 got 1:18:01 gp4 let's call this the multimodal gp4 1:18:04 it's going to be the good one Omni and 1:18:07 then you have Claude there's Claude and 1:18:10 then you have uh 1:18:13 Udo or as Vicki says udio she's wrong 1:18:16 but that's okay and then you have Alpha 1:18:19 fold and right now they're all these are 1:18:22 all kind of separate right like if 1:18:25 you're going to go use Alpha fold you 1:18:26 kind of need to be a scientist and know 1:18:28 what Alpha fold 1:18:32 does and you know if you're a musician 1:18:34 you can make good songs than 1:18:37 non-musicians but at some point here 1:18:40 relatively shortly when we have 1:18:42 agents you're going to be able to have 1:18:44 an agent I'm going to I'm going to be 1:18:47 able to go um hey my kids have chronic 1:18:51 lime and they've had it for a [ __ ] 1:18:53 decade and I'm [ __ ] sick of 1:18:56 it why don't you 1:18:58 go figure out which of these stupid 1:19:01 [ __ ] tools can solve this for me and 1:19:06 it uses Claude And it uses Claude to 1:19:08 write the application to do the research 1:19:12 and then it uses Alpha fold 3 and it it 1:19:15 figures out all the apis for me and it 1:19:17 connects it all together and it says 1:19:19 okay I'm going to run 1:19:21 experiments for the next three days 1:19:26 and it runs experiments for the next 3 1:19:28 days and it comes up with 16 novel 1:19:32 ways to cure chronic 1:19:38 lme and I can say there's some other 1:19:42 model that can read blood and so I take 1:19:44 a blood sample and I put it into the 1:19:47 thing and I'm like here's the scan from 1:19:49 the blood sample thing or it's from 1:19:50 their last blood test and then it goes 1:19:53 in and it creates a customized 1:19:56 thing for 1:19:58 them and I just make that and the FDA is 1:20:01 not involved because I just made it with 1:20:03 all my stupid [ __ ] models all glued 1:20:05 together with 1:20:18 agents I 1:20:20 can't Iron Man Jarvis is coming to life 1:20:24 Joker r will get right on the blood llm 1:20:26 well I I mean you know it's funny like 1:20:29 Joker Joker 1:20:31 has done this he's used chat GPT to look 1:20:36 at blood samples and start to do 1:20:38 analysis of them and yeah there's going 1:20:41 to be think of it like garage tinkerers 1:20:43 you know you know how you know how you 1:20:46 you've got the the garage tinkerers that 1:20:48 always come up with the engine that runs 1:20:50 on water and then they mysteriously get 1:20:52 into a car accident right when they were 1:20:55 about to go to the press conference to 1:20:59 reveal it to the 1:21:01 world what if there are so many of 1:21:04 them that the powers that be can't kill 1:21:10 everyone that they can't suppress it 1:21:15 anymore that some garage 1:21:19 hacker has access to enough gpus that 1:21:22 they spin up a custom model that's 1:21:25 really good at something no one else had 1:21:27 thought of and they just solved some 1:21:29 [ __ ] just put it out in the 1:21:37 world I don't know where I'm going with 1:21:39 this 1:21:42 but Joker is super duper cool love it 1:21:45 yeah I 1:21:46 know and then fun stuff too like make me 1:21:50 a romantic comedy that's as good as 1:21:52 pretty woman 1:21:53 but has 1:21:55 live laugh love or whatever the [ __ ] 1:21:57 that 1:21:58 was where she goes to the Tropical 1:22:00 Islands I want pretty woman in 1:22:04 Tahiti in 1:22:08 Bali more 1:22:10 regulations possibly yeah wax and 1:22:12 philosophical yeah this is one of those 1:22:14 nights um possibly more regulations 1:22:27 like right now you have a bunch of 1:22:28 douchebags in San Francisco doing 1:22:30 biohacking right and they're trying to 1:22:32 they're taking nmn 1:22:34 and hacking their bloodstream and stuff 1:22:37 like that 1:22:38 and probably somewhere in there 1:22:40 someone's doing something that's 1:22:42 revolutionary but like they've had to 1:22:44 really geek out on 1:22:46 it and then two or three years from now 1:22:49 just anyone will be able to go I don't 1:22:52 feel great I'd like to feel better 1:22:55 and it just whips up this sort of 1:22:59 biohacking plan and I don't know just 1:23:03 does it for 1:23:05 you makes you special 1:23:09 compounds but you know the secret all 1:23:11 those special 1:23:13 compounds Madagascar vanilla 1:23:17 beans so you just let me know if you 1:23:19 need some okay we're going to put them 1:23:21 right here in the Tik Tock shop along 1:23:23 with printer filament 1:23:29 it's going to be 1:23:30 good it's going to be 1:23:40 good I wonder if I just say Tik Tock 1:23:42 shop enough if if my if the viewer 1:23:46 Count's going to go up 1:23:47 dramatically don't 1:23:51 tease you can make money Tik Tock shop 1:23:57 Tik Tock shop is going to be your your 1:24:00 salvation all right what time is it it's 1:24:02 late isn't it it's not that 1:24:14 late I feel like you went from book to 1:24:16 curing diseases real 1:24:20 quick 1:24:23 yeah cuz cuz right 1:24:31 now you know talk about embracing the 1:24:33 Jank right now the technology is like it 1:24:36 can write a it can write a book pretty 1:24:38 good pretty 1:24:39 fast if you if you kind of know how to 1:24:42 finagle 1:24:45 it but when these things get reasoning 1:24:48 and when they get agentic Behavior when 1:24:51 they can take 1:24:52 actions and when those agents can access 1:24:55 other 1:24:56 models you don't need to know all the 1:24:59 specialty models that that agent might 1:25:01 be interacting with so 1:25:04 it's like I feel like we're 1:25:10 we're really close 3 to 5 1:25:16 years where you can just literally talk 1:25:18 anything into 1:25:22 existence it's bizarre 1:25:31 holidc 1:25:34 drugs recreational drugs if you know 1:25:36 what I 1:25:37 mean like imagine being able to go into 1:25:40 like chat GPT I probably can't even say 1:25:42 this here they're probably going to go 1:25:43 this is age restricted now but imagine 1:25:46 being able to go into something like 1:25:47 chat GPT and just say I want to create a 1:25:52 recreational um compound 1:25:55 that has the following 1:26:00 attributes last like this doesn't cause 1:26:02 a hangover does this doesn't do 1:26:05 [Laughter] 1:26:07 that lets me see 1:26:10 music lets me hear 1:26:14 [Laughter] 1:26:17 flavors last for 37 1:26:19 minutes and then and then gradually just 1:26:22 returns me back to reality it's 1:26:27 like spins it 1:26:31 up guard rails for 1:26:40 [Music] 1:26:53 fun t 1: a.m. here dang 1:26:58 Tams you can sell your book on T Tik 1:27:01 Tock shop if it's kle press or do I have 1:27:03 to have 1:27:05 physical physical things of 1:27:08 it I'll sell the [ __ ] out of that book 1:27:11 so okay this channel it's going to 1:27:14 become about 1:27:16 Madagascar vanilla beans the book 1:27:20 embrace the Jank by Kyle shamon from the 1:27:23 AI learning lab 1:27:26 and 1:27:29 um Sleek 1:27:32 swimwear all 1:27:34 right I think that's where we're going 1:27:36 to take the channel Sleek swimwear 1:27:39 Madagascar vanilla beans and embrace the 1:27:42 Jank all 1:27:46 right I think that's where we 1:27:49 go I got to get um LED lights we're 1:27:53 going to do LED lights in here I could I 1:27:56 could have done cuz this is a $20 1:27:57 million production facility we've got 1:28:00 plenty of LED lights but we want to make 1:28:02 it look like a shitty home 1:28:04 office but when I start going Tik Tock 1:28:07 shop this is all going to be LEDs I 1:28:10 actually have LEDs back there but I lost 1:28:13 the remote and I don't think they're 1:28:14 plugged in and I have addd so I don't 1:28:16 give a [ __ ] 1:28:18 um but we're going to get LEDs 1:28:29 I wonder if I should do 1:28:35 skits hey honey what are you baking 1:28:38 tonight oh I'm just baking a cake do you 1:28:41 have any vanilla extract vanilla extract 1:28:45 that's funny honey you know I only use 1:28:48 Madagascar vanilla 1:28:51 beans you know what I mean skits like we 1:28:54 have GPT help write the skits and then 1:28:57 we could give have it give acting 1:29:00 lessons on how to act like um porn 1:29:08 actors I swear to God the the acting on 1:29:11 Tik Tok is so bad the worst ones are 1:29:14 those the prank videos where where it's 1:29:17 like I'm so 1:29:19 surprised it's like come on really 1:29:25 take an acting class maybe an improv 1:29:28 class making an ebook and a paperback 1:29:31 sell it through Amazon KDP you get 60% 1:29:34 royalties on physical yeah I've got the 1:29:39 AI Futures book is Amazon 1:29:45 KDP but embrace the Jank that's just a 1:29:48 good title I think I think it's going to 1:29:50 be good I don't I don't love where this 1:29:53 is going yes yes I 1:30:04 do actually there's a I don't know if 1:30:06 you've seen it I I just stumbled upon it 1:30:09 some someone do edited or whatever 1:30:11 there's a uh a car dealership out of I 1:30:15 don't know it's Pennsylvania or 1:30:17 somewhere um and they're doing these Tik 1:30:20 Tok videos that are very much like the 1:30:22 office where it's like interviews of the 1:30:24 people people about the marketing that 1:30:26 they're going to do and they they rarely 1:30:28 show the they rarely show the uh the 1:30:31 cars and and they just talk it's 1:30:33 actually pretty good it's it's a really 1:30:34 clever channel it's really 1:30:40 smart but yeah 1:30:43 crazy and by the way what the [ __ ] up 1:30:47 with Runway ml saying gen gen 3 video 1:30:50 was going to be out in a few days a week 1:30:53 ago what's what that 1:30:55 what are they taking marketing lessons 1:30:57 from open Ai and well it'll be out in 1:31:00 coming weeks and then like a month later 1:31:02 like uh coming weeks again and then uh 1:31:05 maybe sort of July fall it could be the 1:31:09 fall for the most of you but one or 1:31:12 three people are going to have access to 1:31:13 it in July and then the fall maybe fall 1:31:16 like fall how far does fall go fall goes 1:31:18 until the end of November to October ah 1:31:22 so um 1:31:27 Just Launch 1:31:29 [ __ ] don't tell us about your stupid 1:31:32 [ __ ] and now we can't play with it China 1:31:35 with your cling video better than Sora 1:31:38 yeah maybe we could play with 1:31:42 it everyone's so full of 1:31:48 [ __ ] behind the AI door that's pretty 1:31:53 funny oh I think Frank died no Frank's 1:31:56 around Frank's just tired just do it see 1:32:00 this is what you get for listening to a 1:32:01 company I know 1:32:04 [ __ ] well Google's right in there 1:32:08 where's where's your Gemini Ultra now 1:32:13 buddy the paid version of Gemini 1:32:15 Advanced 1:32:17 is 1:32:20 um whatever non Ultra was Pro 1:32:24 where's 1:32:25 Ultra where's the dynamic interfaces 1:32:28 where is it all where's the 1:32:31 multimodal Saucy 1:32:36 action it's all just waiting Frank 1:32:39 didn't die he's just really burnt out ah 1:32:41 Silver Fox Silver Fox always solid with 1:32:44 the hot dog references solid with 1:32:48 them 1:32:50 solid big thinker she's thinking up here 1:32:53 she's thinking 1:32:55 way up here we're down at Hot Dog level 1:32:58 we're thinking sauerkraut mustard 1:33:01 bun she's thinking hot dog 1:33:07 Concepts some people just think 1:33:10 different hang out with 1:33:15 them okay here's the serious 1:33:19 thing critical thinking 1:33:24 is the superpower of the 1:33:28 future it's those people that can go oh 1:33:31 you know it' be cool 1:33:35 quit the people that are good at that 1:33:37 and then are good at 1:33:39 Discerning how these tools did 1:33:43 quickly they're going to be 1:33:45 the they're going to be the ones to 1:33:47 Value to watch to pay attention to 1:33:55 all right so here's your 1:34:01 homework go to chat GPT or Claude either 1:34:07 one 1:34:17 oh neat neat neat neat good evening Kyle 1:34:21 hello hello he was roasted okay who got 1:34:25 Kyle started I know I know it's it's 1:34:27 insufferable I listen I can't stand 1:34:30 listening to me I don't know how you all 1:34:31 are doing it there's 53 people in here 1:34:34 that really need to see some 1:34:35 professionals okay 1:34:39 um here's what we're going to 1:34:48 do well let me let me explain what I'm 1:34:50 going to do 1:34:52 first so I'm in CL Claude 3.5 Sonet so 1:34:56 this is their new super powerful model 1:34:58 I've got this thing in there turned on 1:35:01 called um artifacts artifacts will write 1:35:05 code and spin up you know like a a 1:35:08 usable thing over in this window to the 1:35:11 right and we can chat over in the left 1:35:13 so the homework I was going to give 1:35:16 you is to 1:35:19 go use chat GP CLA to come up with 1:35:24 critical thinking exercises but then 1:35:26 what I thought is Claude could probably 1:35:29 make us an interactive 1:35:30 dashboard that's a that's a critical 1:35:33 thinking trainer so let's try 1:35:41 that I want you to think like a 1:35:45 nobel-winning 1:35:47 cognitive 1:35:51 scientist and Design 1:35:54 an interactive 1:36:00 dashboard that gives me 10 different 1:36:06 activities that will improve my critical 1:36:08 thinking skills 1:36:11 period please make that 1:36:15 tool all right let's see what we get I 1:36:18 stay because I bought a ticket and I 1:36:19 want my money's worth 1:36:24 there you you know Amelio's wife you 1:36:26 know there there's no refunds for this 1:36:29 for this no 1:36:33 refunds I hope the homework isn't to go 1:36:35 find 1:36:42 Frank this is a lot of 1:36:45 code all 1:36:47 right all activities in progress 1:36:51 completed wow it's even it's even going 1:36:53 to track our impr progress 1:36:57 activities okay Socratic questioning 1:37:00 people asking probing 1:37:03 questions to explore complex ideas and 1:37:05 assumptions benefits 1:37:08 enhances analytical skills exercise 1:37:11 choose a belief or opinion you 1:37:15 hold ask yourself what supports 1:37:20 this what an 1:37:24 visually represent the structure of 1:37:31 arguments well this is kind of 1:37:34 cool so it gives you a bunch of 1:37:36 activities and then when you finish them 1:37:39 but I want it to be more interactive 1:37:41 this is 1:37:43 cool I mean this is actually really cool 1:37:47 let's let's let's be 1:37:52 fair okay this is very impressive but I 1:37:56 want the interface to be an 1:38:00 interactive 1:38:04 dashboard with game likee 1:38:06 activities that improve my critical 1:38:09 thinking skills period can you modify 1:38:13 this for these new goals 1:38:26 more code more 1:38:29 code and just even trying to think about 1:38:34 how you would ask Claude to do this is 1:38:37 critical 1:38:38 [Laughter] 1:38:43 thinking critical thinking skills game 1:38:46 logic Labyrinth start activity bias 1:38:49 Buster identify cognitive biases in 1:38:52 given 1:38:52 scenarios perspective puzzle solve a 1:38:55 problem by considering multiple 1:38:57 viewpoints start 1:38:59 activity stage one this is so cool so 1:39:02 [ __ ] 1:39:03 cool a city is debating whether to build 1:39:06 a new park or a parking lot consider the 1:39:09 perspective of business owners 1:39:10 environmentalists local residents let's 1:39:13 go local 1:39:15 residents what am I supposed to do oh 1:39:17 activity 1:39:20 created oh okay this is kind of lame but 1:39:23 whatever 1:39:26 identify cognitive bias you buy a 1:39:28 product because your favorite celebrity 1:39:29 endorsed 1:39:31 it bias 1:39:37 present all right I don't know what that 1:39:39 was supposed to do navigate through a 1:39:41 maze by solving logic puzzles at each 1:39:44 turn if it's not raining the grass is 1:39:46 dry the grass is not dry is it raining 1:39:49 wait if it's not raining the grass is 1:39:51 dry the grass is not dry is it it 1:39:54 raining 1:39:55 yes all right it doesn't 1:40:00 update all right well there's a there's 1:40:02 a thing to do so I don't know just go 1:40:04 play with [ __ ] just go do 1:40:07 something you don't have to do it 1:40:08 tonight cuz I've exhausted you I've 1:40:11 exhausted 1:40:13 myself but like over the next couple of 1:40:15 days and over the 1:40:19 weekend really push the boundaries of 1:40:25 your intellectual comfort 1:40:27 zone 1:40:32 and I like I don't know push on the 1:40:34 boundaries of what these tools can do in 1:40:36 in places where you're not 1:40:39 comfortable I think that'll be good I 1:40:42 think 1:40:43 that'll that's the kind of [ __ ] that 1:40:46 we're going to need to start doing more 1:40:47 and more of I think if we want to be 1:40:52 valuable all right 1:40:54 I'm going to get out of here all right 1:40:56 so if you're new here go check out 1:41:04 this the salon. a Kyle you could turn 1:41:09 your quotes into a quote of the day peel 1:41:11 off calendar I know that's what I was 1:41:13 thinking Danielle is 1:41:16 like you know I just I really quickly 1:41:19 went from like oh I should sort these 1:41:23 to oh this is a book to oh this is 1:41:26 actually a book and then it's like any 1:41:29 idea that you have like a poster like I 1:41:32 came up with the the 1:41:34 uh the embrace the Jen cover that should 1:41:38 be t-shirts and it could be stickers and 1:41:40 it could be postcards and it could be I 1:41:43 don't 1:41:45 the tap for super hair oh yeah look at 1:41:48 the super hair good 1:41:50 Lord I didn't even I didn't even notice 1:41:53 it that's 1:41:56 impressive you see what happens when the 1:41:58 two pays when the glue starts to loosen 1:42:01 on the 1:42:02 Tays see when you get the when you get 1:42:04 the tape right it actually pulls down on 1:42:07 the roots and the and the hair folds 1:42:09 back on the toue 1:42:10 mesh and when the uh when the tape 1:42:13 starts 1:42:15 relaxing technical term in the uh 1:42:17 business when the tape starts 1:42:20 relaxing that's when it gets bigger like 1:42:22 this 1:42:24 and you're like Kyle but if you wear a 1:42:26 toue why are you showing so much 1:42:29 forehead it's a look that I 1:42:32 like wait no philosophy 501 at this late 1:42:35 hour Kyle is that really you I 1:42:41 know all right that is that's 1:42:45 that's I'll tell you what that is that's 1:42:48 manini hair 1:42:54 Dr J made a made a song in 1:43:03 Irregulars the tire Joe's Tires BYO all 1:43:07 right let's I'm game 1:43:15 [Music] 1:43:25 in a small shop Ino fixing flats and all 1:43:30 worked a nerdy guy named Joe he could 1:43:33 solve it all with grease on his hands 1:43:38 and glasses on his face dreamed of 1:43:41 something bigger something to embrace 1:43:45 Joe from 1:43:46 too sparking his 1:43:49 eye teamed up with the gra reaching for 1:43:53 the sky 1:43:55 Tesla Hawkins I sign by his side 1:43:59 creating indestructible tires a dream 1:44:04 they never hide through the power of AI 1:44:08 they began to 1:44:09 explore materials unknown never seen 1:44:14 before ch's ideas mixed with scientific 1:44:19 might brought for the Breakthrough 1:44:22 shining so bright 1:44:26 [Music] 1:44:35 that's pretty good that's pretty good 1:44:39 Joey Joe from Toledo Joey it would be 1:44:43 really funny if you actually lived in 1:44:47 Toledo OH 1:44:49 man all right let me get out of here um 1:44:53 if you're new here go check out the AI 1:44:55 Salon the salon. click on the Community 1:44:58 Link at the top it's a community you 1:45:00 should be a part 1:45:01 of um I'm not going to say much more 1:45:03 than that I think it's I 1:45:06 listen you got to start getting curious 1:45:09 about AI you also got to start getting 1:45:11 your ass in Community start learning out 1:45:14 loud play with these tools mindfully 1:45:17 create something once you learn enough 1:45:19 about the tools to build something start 1:45:20 building [ __ ] and build out loud Learn 1:45:23 out Loud 1:45:24 the best way to do that is be in 1:45:26 community hey Kyle what's up where did 1:45:29 you used to write your book oh what did 1:45:32 I use to write my book I used Claude 1:45:35 well no I used Claude plus a 28 page 1:45:39 document of quotes that digital Gods 1:45:43 pulled out of 750 hours of transcripts 1:45:46 from a YouTube 1:45:48 channel it's a family affair 1:45:56 but that's really important right you 1:45:57 get the the you get back to this idea of 1:46:00 collective intelligence that why chat 1:46:02 GPT seems more human than it is is 1:46:05 because the data it was trained on was 1:46:07 human and the reason my book sounds like 1:46:12 me is 1:46:14 because we used quotes of me being a 1:46:19 smartass for tone and for quotes and for 1:46:23 forign 1:46:24 knowledge and 1:46:26 so 1:46:29 the the large language model put it all 1:46:32 together but it's because it was trained 1:46:34 on a data set that's familiar to me is 1:46:37 why it felt so right to me like if when 1:46:43 I first had it write the the opening 1:46:45 chapters it wrote schlocky AI [ __ ] and 1:46:48 then when I said hey stop writing saky 1:46:50 AI [ __ ] and follow my tone 1:46:53 it was perfect from that point out other 1:46:56 than kind of details it's pretty 1:46:59 amazing all right I'm getting out of 1:47:05 here CH come on let's 1:47:08 go all 1:47:13 right all 1:47:16 right further inspired by you all thank 1:47:19 you Kyle thank you Spirit 1:47:21 B3 office tomorrow oh yeah tomorrow at 1:47:25 11:00 a.m. 1:47:26 Mountain um I do AI office hours so if 1:47:30 you go to my 1:47:31 LinkedIn page Channel account whatever 1:47:34 the [ __ ] it's called 1:47:37 profile 1:47:39 um there'll be a link there in the 1:47:41 morning and uh yeah come hang out with 1:47:43 us all 1:47:46 right top story Biden crashed in first 1:47:49 Clash with 1:47:50 Trump good night everybody all right 1:47:52 thank you everyone thank you regulars uh 1:47:55 come hang out here often 1:47:58 um side hustle Mimi in the house Dr J 1:48:01 good to see you nice song Felicia or 1:48:04 fific FCW spin B3 Dr J Amelio's wife 1:48:10 Firefly 1:48:13 Tams I can't spell Danielle in the house 1:48:15 Be not Afraid good night everyone side 1:48:17 house Mimi Joker in the house Joey 1:48:21 Silver Fox Brandon I'll settle for 20K 1:48:24 tonight how we doing 20K perfect 1:48:27 Brandon nailed it nailed it Joy 1:48:32 party um yeah good crowd 1:48:35 tonight all right 1:48:39 uh got everybody I think um I'm out of 1:48:43 here Vicky's in the house too Brian 1:48:46 Whitney Stephen good 1:48:48 night um tomorrow's Friday I don't think 1:48:52 we're doing anything thing so I should 1:48:53 be I should be on for 8 tomorrow I'll 1:48:56 make a video if not or I'll put I'll put 1:48:58 something in the ai ai Salon all right 1:49:02 all right everybody peace out Source 1:49:04 Camp good to see you 1:49:06 um date night yeah Friday night date 1:49:08 night be there tomorrow be there for AI 1:49:10 office hours tomorrow and then uh and 1:49:13 then we'll figure stuff out maybe 1:49:14 tomorrow we'll actually do something 1:49:16 rather than me just trying to figure out 1:49:18 what the hell's going on in my 1:49:21 brain all right peace everybody oh you 1:49:24 know why I was probably so philosophical 1:49:26 tonight cuz the debate was so bad it 1:49:28 just everything shut down in my brain 1:49:30 I'm trying to spin it back up I think 1:49:32 that's what 1:49:34 happened all right bye our country is 1:49:37 going to be just fine it's going to be 1:49:38 just fine anybody know anyone in Iceland 1:49:41 all right bye