May 2, 2024 - With Kyle and Matt Farmer: Insights from Creators & Innovators

Transcript

1. 0:28for for
2. 1:08trying to figure out how to go live here people the live creator has declined it
3. 1:23uh are we in trouble all right did we do it I think we did it bamn I think think we did it Matt it's like it's like old guys with
4. 1:32computers we're gonna I know right I've done about seven streams so far of just technical difficulties with
5. 1:40other creators so I kind of got it figured out but we'll see okay good yeah this looks good you did it okay I'm
6. 1:46getting uh I'm getting getting positive comments so uh so nice to meet you we've never actually talked but uh but I watch
7. 1:52your stuff all the time so I'm really excited you reached out yeah same and I had a bunch of my followers be like you
8. 1:59have to do a live with them and I'm like heck yeah any day of the week let's do it so I reached out to you um on on that
9. 2:05side and no it's good it's good to finally connect let's do it in a public way why not right yeah exactly exactly
10. 2:13um well so yeah like I think I think what might I mean it would be interesting to me if nothing else like
11. 2:19why don't you tell me a little bit about your background I'll do yours and then maybe we can just sort of navigate
12. 2:23through like what we're excited about what you know like what's going on because it's like I feel like we're you
13. 2:29know we're a year and a half into this geni era and it's like it it's starting to morph like I feel like there's
14. 2:36something shifting so I'd love to hear where you are with it yeah so on my side I so I did marketing for about 16 years working
15. 2:45with very large companies I didn't like the marketing world wasn't my place so I uh I exited out of my company on that
16. 2:52side and then conveniently I was trying to make an AI version of myself back in gpt2 it wasn't quite good enough for it
17. 2:57cuz I'm like maybe instead of you know doing marketing that I don't like I can have ai do it for me because I'm like oh
18. 3:03the decision tree makes sense right so I exited and I was kind of looking for my next my next thing and then chat GPT
19. 3:10came out and I'm like okay I didn't think we'd have this in our lifetime I know but but it's uh it's definitely
20. 3:17going to be soon at this rate and it's getting accelerated every single day so I went into the AI influencer side I
21. 3:23have five kids um so I wanted they I wanted them to think I'm cool so I decided to jump on Tik Tok and start doing videos
22. 3:30and plus you know I'd always ask myself the question Matt if you had a trillion dollars after being a degenerate having
23. 3:35fun and everything what would you do and it was really kind of going to teaching people on that side I think that's where
24. 3:41I find you know that's my my power on my end so yeah I just basically jumped into it I thought you know I was like 90 days
25. 3:49I'll do 90 videos and 90 days and see how I like it and then now we it's like a year and three months later and here I
26. 3:56am that's awesome man that's awesome awesome awesome how's the uh have have you uh do your kids think you're cool
27. 4:03yeah they do well the problem is now they think they're too cool on that because I put them in a couple videos
28. 4:08and my one son his video got 150k views on um this like Story one so he's walking he's shreding at school like
29. 4:16he's the most famous guy out there like Dad give me an update how many views do I have now and I'm like it's been three
30. 4:23minutes it's about the same that's awesome I've got 23y old twin boys and and uh they could not give two craps about AI or or think that I'm
31. 4:34cool although their friends are like oh that's he's got a lot of followers that's pretty respectable so got
32. 4:40external validation just not inside the house right now um nice so so my background is so I I'm a Storyteller by
33. 4:47training I have a degree in acting I've written seven screenplays and then in the mid90s I started one of the first um
34. 4:55uh internet agencies a company called agency.com so I was in the in the agency world for for a bunch of years um and uh
35. 5:02I I also right around the time we were starting agency.com I I I had also started an early online magazine called
36. 5:10Urban desires and I created a group called the worldwide web artist Consortium which was essentially anyone
37. 5:17in New York that was interested in web stuff like you know we got together every other week and and you know it was
38. 5:24just a remarkable time in history because you know the worldwide web everyone was trying to figure it out
39. 5:30when I started uh we call it whack when I started whack the worldwi artist Consortium um what my what my fantasy
40. 5:39was was that you know I'd bring smarter people than me into the room which I did and that they would know more than me
41. 5:45and then what what we all learned is that everyone was trying to figure it out there there were no experts right
42. 5:50and and it was like that for probably two or three or four years where people were just trying to figure out what this
43. 5:55thing was and so I I had a similar epiphany when when chat GPT came out I had a similar sort of knockup H side the
44. 6:04head moment of like holy crap the world just changed and no one knows about it yet so I immediately started the AI
45. 6:10Salon we we had our first meeting of the AI salon on December 7th 2022 so a week after chat GPT came out right and I
46. 6:18started a Tik Tok Channel and it was it was really just about you know I think sort of um how I'm describing it is
47. 6:25learning out loud is is going to be really important and and just Demis in this for as many people as possible as
48. 6:31I'm learning and so that was kind of the mission so we're we're we have a like a similar sort of uh uh impetus to to get
49. 6:39into this but yeah I think it's just having been through it with the web you know I know that this AI stuff
50. 6:47is way more profound like way more impactful and moving way faster so so I'm just like hanging on for dear life
51. 6:54and just trying to trying to navigate you know as as the technology evolves yeah that's it and it's evolving fast on
52. 7:03on like I exponentially every week I feel like I missed seven potential videos now it's 14 potential now it's
53. 7:12you know it just keeps going on and on like the speed and how fast we're getting quality like when mid Journey
54. 7:17first came out everyone was like oh this is garbage and I'm like well this is this is version three it's you wait till
55. 7:23version six and we're on version six now and it's like okay that's disrupting now let's look at video now let's look at
56. 7:30the next thing like it's [Music] unbelievable I didn't see if you did a a video on it but if you played with Deco
57. 7:37here's stations I haven't played with st I did Deco here a long time they're a great company they basically put
58. 7:43everything in one and I know you do a lot of content those are some of the videos that I've watched that you've
59. 7:48done on that side it seems like Deco here seems to be your favorite Well's it's well so but I was I was into it for
60. 7:54a while but then stations came out do do you know what stations is have you I don't think I've checked it out yet so I
61. 8:01didn't I didn't understand what the name was for it so so basically if you just go to The Deco here main site and then
62. 8:07you click on explore it's you just get a feed right like like a normal AI gen site but you can click on any one of
63. 8:14those images and you say create station and their metaphor is like a radio station so just like a radio station
64. 8:20just plays music this just generates images and it does a an image a second just never ending and then any image it
65. 8:27generates you can turn that into a station and and so so for me it's just like zero prompting pure intuition just
66. 8:36like let letting AI sort of do the work for you it feels like a shift to me like like a technology that represents this
67. 8:44is the world we're moving into where you don't have to be nearly as um intentional with how you use it and how
68. 8:51you deploy it that you know image generation as entertainment is is just wild to experience okay yeah yeah no that's
69. 9:00that's amazing stable audio did a similar thing too they have a live YouTube channel where it's just all AI
70. 9:05generated music 24/7 yeah that you could listen to and imagine when it gets tied into to like the you know sensors and
71. 9:12things in in the glasses we're wearing where it kind of knows our emotion and it's like here let me play You music or
72. 9:18show you images that you know shift your state based on no see I've been thinking about that for a while even like the a
73. 9:24the future is AR so basically you know you're you're it's detecting that you're depressed and then everyone you look at
74. 9:30it just deep fakes a smile on their face and you're like wow everybody loves me the world is a great place even though
75. 9:35everybody's frowning at you and everything else but you know you're living in it's making stuff more colorful you know it's all painted nice
76. 9:42Etc but yeah the whole realtime generation is going to be a game changer and we haven't even really I guess we've
77. 9:48seen it with this station um but we haven't really seen what the potential is going to be on that we're so early
78. 9:54it's crazy like I I that when I look at um station from Deco here what what where where my mind immediately goes is
79. 10:03I swap out image generation with every other kind of multimodal image generation and so imagine a system like
80. 10:10that where you could you know fluidly navigate between okay turn that into a poem Oh make that a song Oh Let's make
81. 10:18that a video oh I want to see a bunch of images like like where you're just GNA uh you know I I want to go into how
82. 10:23would I start a business around this idea and and you know then out will come problem solving kind of stuff and and
83. 10:29just our ability to kind of navigate knowledge space you know as as easily as you can just watch those images being
84. 10:37generated that's where I think we're heading and it's like what is that skill set like like right now like people talk
85. 10:45about you got to learn prompt engineering and structured this and structured that well what if you move
86. 10:49into a world where it's about intuition and curation and and I think that's going to be an option that people have
87. 10:55for how they interact with this stuff yeah and I think on my side I've been doing a lot I'm working with a company
88. 11:01right now who wants to help people reach all their goals and I think another like model that we'll see on our side is
89. 11:07we're dealing with a lot of stuff like image generators everything is we're doing the input and waiting for an
90. 11:12output where the proactive side really hasn't been cracked yet where you have an AI like a C3PO that's basically every
91. 11:19morning being like hey Matt don't forget you wanted to learn Mandarin um and you said you know you you really want to
92. 11:25achieve this goals Etc and having that voice as well from the AI when we start communicating it with that way it's
93. 11:31going to be nuts because even using chat GPT with voice kind of feels different and when the AI starts talking to us and
94. 11:38then we have the curation on top of it so it's like Matt you have this goal so I put this lesson together for you yep
95. 11:44um it you know it gave you that inspiration on that side and we it knows how to motivate you yeah yeah I'm
96. 11:51experimenting right now I'm part of a group called content Evolution I'm I'm the chief generative officer there I
97. 11:56think I'm the world's first Chief generative officer but but um what what we built it's so it's a group of marketing organizations and so
98. 12:05you know that the're kind of co-market for one another and and it's people that are just you know very accomplished have
99. 12:10written books things like that and so we created a group within it an AI kind of Skunk Works called uh content Evolution
100. 12:17collab and we've created digital twins of of all of the members of collab and so we now have gpts we we created a
101. 12:26structured interview where we interviewed people you know sort of on who they are what's their life view what
102. 12:31do they think about the future how do they solve problems what have they done for work and and now we have a GPT for
103. 12:37each one of us and and so where we're shifting right now is okay we have these digital twins what do we do with them
104. 12:45how do we interact with them what what are other people going to interact with them and then as the capabilities come
105. 12:51along where you can add video to that and audio to that and all this other stuff you know that idea of kind of exploring you know
106. 13:00designing how you're going to be represented whether it's the metaverse or in knowledge space or anything like
107. 13:06that is just Bonkers like it's just crazy no it's it's absolutely nuts and then you wonder if it's a if you have
108. 13:16your own GPT like the Matt subconscious to some extent you know you have your own kind of subconscious where you're
109. 13:21talking to yourself and making sure you're aligning even with yourself too at the same time like there's there's so
110. 13:28many levels to it and it's like there's no the craziest part about this industry and even just trying to build anything
111. 13:33alongside of it is there's nothing really been done in this space yet so it's just like okay we have all these
112. 13:38gpts now what the what's the use case for it how can we apply it like okay we could generate perfect images now what
113. 13:45what can we do with that now with video and audio it's nuts I I know and that's I don't know like I don't know where
114. 13:53where you are like I I there's a there's a weird malaise right now in the industry for me and it might just be for
115. 14:00me but I feel like a lot of the other large language models have caught up to gp4 right so we have we have five or six
116. 14:08now that are sort of hovering around GPT 4 and then we're all waiting for Sam to drop GPT 5 right which we assume is
117. 14:15going to be way up here and so like I'm in this place where I'm like I don't really know which large language model
118. 14:21to put any time into because they're all kind of you know it's kind of like computers are kind of good enough now I
119. 14:25feel like large language models are all kind of relatively at the same capability and you know some are a
120. 14:31little better than others but they're all basically good but I just I feel like we're in this this sort of moment
121. 14:38of pause before shit's about to hit the fan no I I definitely agree with you because I do um I actually have an
122. 14:45agency so I do like implementations for business and stuff and I think it's really like a lot of the the
123. 14:51capabilities are already there to do so much let's say for example it's never it never increases we never get anything
124. 14:58past GPT 4 with what we have with gp4 you can almost build everything like there's not much it's missing like maybe
125. 15:05on the math side and like the the truly planning like planning and math is what they're truly trying to crack on this
126. 15:10end but I feel like it's more going to be the tools and applications and everything else and you almost see it
127. 15:16like it's really interesting like Microsoft release co-pilot and it's pretty much chat GPT but nobody really
128. 15:21uses it because it's it's you're more using the application of it of like chat I have both and I never use co-pilot I
129. 15:28go to chat PT and I use it there where it's like the applications are really going to push the next part of it of
130. 15:35just like okay how cuz that's what we that's the unknown right now it's like how are we going to use the the all this
131. 15:40application this technology like where does it actually fit in and at this even at the rate of Technology that's
132. 15:46increasing some people are almost like holding back a little bit because they're like I don't want to do that
133. 15:51because agents are coming out and then agents are going to take care of this and like and it's the question of what
134. 15:56are agents going to do and are they going to be good is that the way going forward do you follow do you follow Ethan
135. 16:03mollik I don't believe so okay you should you should follow won business school Professor he wrote an article
136. 16:08like a month ago was I forget the exact title I think it was the the tyranny of the of the weight calculation or
137. 16:16something like that and it's basically um you know if you were to get in a rocket today and and and travel to our
138. 16:23nearest star it would take you 20,000 years but if you wait for a 100 Years it'll only take take you 50 and and but in that hundred years of
139. 16:32waiting you've missed all this opportunity and he said it's the exact same with AI right now that that you
140. 16:37shouldn't be waiting because because as you wait there's all this opportunity for what these tools do right now that's
141. 16:43that's like truly remarkable and mind-bending like I one of the things that I keep I just keep having this
142. 16:50palpable sense of of feeling like you know either we're living in a post- Sci-Fi world where all the Sci-Fi movies
143. 16:57of our past are becoming document so like oh yeah we can do that now you know or or it's just like we're we're living
144. 17:03in you know some weird sci-fi movie where we can just we're starting to have these increasing capabilities and it's it's just it's totally
145. 17:11surreal no it's it's crazy and they even think with this new AI technology we're going to increase lifespans and they
146. 17:18think by 2030 we could potentially get significant like a two to 300 year increase on lifespan which will give us
147. 17:24200 to 300 years to figure out how to make it a thousand and like to some extent it's like you know we could we
148. 17:30could be the oldest people in the world for a long time if this technology goes the way that everybody thinks it's going
149. 17:36right now oh that's true yeah like like it it redefines OG doesn't it yeah exactly we what will be the oldtimers you know old G
150. 17:46guard yeah how many O's do you have in front of your G no exactly that's interesting um no it's good man there's so many tools
151. 17:58being released all the time it's hard to even keep up with them it seems like there's and then it's also separating
152. 18:03who is um who's the Cherry Pickers like who's who's releasing technology where it's like no it's not actually like that
153. 18:09and the other ones that are like okay this is actually you know they're showing us real use case it's kind of
154. 18:14like how Devon came out I'm not sure if you followed Devon and then it turned out Devon where well it's you know but
155. 18:21they just raised a ton of money but yeah it's a six-month old company with no technology but they had a good demo reel
156. 18:26I'm I'm feeling similar I I'm I'm in a bit of a pet peeve with a lot of a lot of companies right now where like you
157. 18:34know Sor was announced and then it's like you know no Clarity on when it's going to be out right they just they
158. 18:40just had to get something out there um we just saw the a similar video model from China um VD yeah vdu there was emo
159. 18:49emo from someone else was announced Devon was one of those there's a bunch of these where they're putting out slick
160. 18:55videos but then it's like you know crickets on when we're going to see it and it's like just launch the cuz
161. 19:01there's plenty for us to play with we we don't need to know that yeah something Cool's coming cuz it's you know I think
162. 19:07I think Google was the first one where where you know their their Gemini Ultra you know thing which they got a lot of
163. 19:13for but but um like I want to like I want to play with some of those tools that they showed like the dynamic
164. 19:23interfaces that were being generated and it's like you know they they showed them but just you know now it's crickets and
165. 19:29we're just waiting and it's like just just give us access to stuff no that's it it's all they're trying to pump up
166. 19:36stocks or something like that but there's so many of those that are coming out right now one of the ones that I was
167. 19:41surprised and I saw you did a video on it um LTX Studio I got access to it actually really good yeah it's it's
168. 19:48surprisingly good I mean you know you know what's fascinating about it Matt is that if you look at what they're doing
169. 19:54technically there early on um there there were a lot of people were talking about oh RP wrapper apps are um are kind
170. 20:03of a waste of time where where you're sort of putting a pre- prompted app together that's just using you know chat
171. 20:08GPT as the back end and and that's what LTX studio is to a large degree is just a whole series of prompts very well
172. 20:16structured but it's very well structured like if like I look at LTX as kind of a prototype for you know the kinds of
173. 20:26sophisticated agents where we're going to have where if you swap out storytelling and film making for project
174. 20:31management or for code development or for Consulting and you have a similar kind of tool as LTX where you have deep
175. 20:38you know subject matter experts putting these systems together you know we're going to have incredibly sophisticated
176. 20:44tools that that can just you know you literally give it a prompt and then it just goes off and you know it's a it's a
177. 20:50chain of events one after another uh in a specific domain I think that's going to be incredibly powerful so yeah I I'm
178. 20:57impressed with it and and one of the things I say on my channel a lot is embrace the Jank like it's janky they're
179. 21:03using a crappy stable diffusion image generator right and and you know a crappy animation tool or you know video
180. 21:10tool but it's pretty damn good for for the sort of low-level Tech that's in it right now no I agree and it is I felt like it
181. 21:20was a mix of all like okay here's this face swap technology where you're able to put your own face in it the voice
182. 21:25it's like the voice is okay but yeah you're completely right it's just like they've and it's almost how it's like
183. 21:31chained together they're just chaining all these Technologies together making like some kind of a pipeline and that
184. 21:36pipeline creates something that's quite good in the end and it's also you know I I also like to give these apps a lot of
185. 21:42credit even if it's not the best it's not I'm not looking at what it is now but I'm like okay what is it in two
186. 21:48generations from now three generations where it may not be perfect at this point and I'm fine with that I'll give
187. 21:54them a good review regardless for that I'm I'm so I'm so there I just I don't know if you gotten yours yet or if
188. 21:59you've ordered one but but the rabbit is getting all this hate where people like it's a grift and it you know it doesn't
189. 22:07wash my clothes for me and I hate it it's like no it's like it's an incredibly it's a beautifully well-designed product with like cool
190. 22:17Nostalgia and a and a walkie-talkie button and the software is crap right now but it's like you're old enough to
191. 22:24remember remember when the iPhone first came out and and they talked about these things called apps but they weren't
192. 22:30really apps they were just shitty websites and it's like that's that's at the stage this is at right where like
193. 22:36the software right now is a little weak but it's like what I give them huge credit for is at least they're trying
194. 22:43right they're envisioning a future where literally a single button can give you the you know access to all of the
195. 22:50technology and knowledge of the world right that's that's the sort of Promise of AI is it becomes this simplification
196. 22:56layer and to me this represents kind of the first tangible product of someone thinking like that and so I give this a
197. 23:04lot of Grace and it's it's it's way better uh constructed and built than I thought it would be like it's it's good
198. 23:11yeah no and I like the price point they really went out of reasonable price point $200 I didn't get one just because
199. 23:17I'm in Canada so there's some Nightmares of the converting over there you know uh so that's the only reason why I'd love
200. 23:24to try one but yeah I'm the same way where it's like you're looking at the potential of it not the current state
201. 23:29because of course even agent agents aren't the best right now only because they don't have tools so like agents can
202. 23:35do stuff and all the demos are the same look up the financial information of Nvidia versus Adobe and charted over the
203. 23:41last five years blah you know and it's like yeah I could do that but the thing is it's only because it's got that tools
204. 23:47so on my side I'm working on just creating tools for the agent right now because that completely changes how they
205. 23:53work so on the marketing side I made a tool to basically extract like from the Facebook ad librar so now I could have
206. 23:59an agent do a smart competitor research for stuff like that so I think it's like they're more it's it's so early
207. 24:06technology and it's same with rabbit they don't have the a lot of the apps aren't released yet because they don't
208. 24:10have the tools made for it yet and the tools are just basically being like all right the llm can now work with this
209. 24:16because it can't all these agents they don't work with Google Docs or any of the really important stuff that you
210. 24:21actually need to get stuff done um but once they do that's when it's going to be absolutely amazing and where I you
211. 24:28know I joke I'm like we're about a th000 tools away from it being good but a th000 tools isn't that much yeah exact
212. 24:34well yeah cuz there you know 10 are coming out a day so it's not it's not taking us that long um yeah no yeah the
213. 24:41agent thing is going to be really interesting you know when when uh when chat GPT has reasoning there there was
214. 24:47that uh the little Kur fuffle last week with gpt2 chatbot that yeah the chat gbt2 J chatbot um I heard a rumor I don't know if you
215. 24:58heard this that um open AI is launching a search engine next Thursday yes on the 9th so um that seems to be more legit
216. 25:08than the gp2 gpt2 chatbot that's just kind of unknown and it's amazing how fast I didn't report on it just because
217. 25:15I'm like uh how old this video age potentially not the best is it worth worth the effort I tried it out so it's
218. 25:22it's better than other llms at most things and it's not and everyone was disappointed like oh oh it's it's just a
219. 25:29little bit better than GPT 4 but I don't think GPT 5 that's where we're going to see the gains I think it's more the
220. 25:35softer Suite they're just going to be embedding agents inside of it to some extent so instead of like you can make
221. 25:41gbt 3.5 L perform gbt 4 by using an agenic framework for it like just because the whole sequence is anytime
222. 25:49and I tried to do it once I made some seating chart um Creator where there's an event had 150 people and if you try
223. 25:56to do it at the beginning you give it a list and like make me a a seating chart there's too much reasoning built in so
224. 26:02it's like for every step of reasoning you build into a prompt you're getting significantly lower results on it so we
225. 26:07basically created like a lang chain where it do it sequentially where it's like okay here's the list of people
226. 26:12create one table so we create one table then we'd remove the name from the list and then it' be like create table two
227. 26:18and tell us why um so I think just adding that additional techn will be the reason why GPT 5 so I think they're just
228. 26:25going to release like a GPT 4.5 equalent it'll be slightly better but when they add the agent on top of it I think
229. 26:32that's when we're going to see that's when it's going to blow our mind like what it could do that when really
230. 26:37realistically it's just kind of the you know the pipeline that it's similar to what LTX created they're just creating a
231. 26:43better pipeline of prompts on that side to to query the model yeah yeah the the one the one uh the one chat TMZ uh
232. 26:52speculation that I heard about that was that was that it was chat GP it was GPT 2 but they had added qar to it and
233. 27:01that's what got it the gp4 level stuff so if if that's actually the case then it's really interesting but but it's
234. 27:08exactly what you said that if they had reasoning to even a a less powerful you know core model then then all of a
235. 27:14sudden it gets way better that's essentially what you were just talking about so that's my fantasy right now is
236. 27:20that that's what that thing was so but we'll see yeah I just at this point I'm like I just want them to release I don't
237. 27:26care what comes with it is it is it going to be good bad Etc it's like let's see what the new one is and then we
238. 27:31could get tokens a bit cheaper on gbd4 that would be nice cuz now llama 3 you could use it free through gr like with
239. 27:38grock and it's super high speed and I'm like okay do I move everything over on this side like I'm running all my agents
240. 27:45with Gro because llama 3 is good enough for most of it it's just like it's it's commoditizing these llms and I can't
241. 27:52believe meta Zuckerberg going through and doing that um they talked about it on the all-in podcast of you know it's
242. 27:58it's basically when you're behind inet technology you open source it So Meta was number one at Facebook and they lock
243. 28:04their API and nobody could get access to it and now they're behind an AI so they're like all right let's open source
244. 28:10it and they already have it up to a million tokens there's a project right now that has a million tokens with um
245. 28:17needle in a hay stack scoring all the way up to like 900k tokens perfect um attribution on all of that so it's like
246. 28:23crazy it's just amazing it it really is it yeah I don't you know it's funny ear early on when when chat GPT first came out Alman
247. 28:33was talking about um he believes in you know releasing often but but you know kind of delaying putting things out there
248. 28:46because I forget how he he exactly phrased it basically people need to prep for what's coming like they need to
249. 28:53understand what's coming and so trickling out the features a little bit at a time and and maybe this is a
250. 28:58justification for announcing Sora but not really having it out in the world is um I don't know if you heard the the uh
251. 29:05Tyler Perry when he saw Sora he cancelled an $800 million Studio Expansion Project for his Film Studio in Atlanta $800 million construction
252. 29:16project he looked at that Tech and just went nope not going to do it so I think there really is something to putting you
253. 29:24know putting some new thing out there that really will change the game let people assimilate it a little bit and
254. 29:29get used to it a little bit and then do the next one because I I I it really could be completely disruptive if you
255. 29:36just sort of go from nothing to just it can do everything like I don't even like people don't how people don't know how
256. 29:43to even think about basic chat GPT right now much less multimodal chat GPT 4 right like it's like that jump is is
257. 29:51massive and it's taken us a year to kind of get our head around how we even deal with that so I don't know I yeah no I I
258. 30:00agree with that it it takes time it it takes time for people to adjust and even the tools to be made for it because it's
259. 30:07like we haven't even if they did GPT 5 6 months ago and we're on GPT 6 it'd be so far beyond what we're even able to use
260. 30:14it for and it yeah they are they're the rap um the rapper Killers too at the same time so I think they're being a
261. 30:20little bit wey of that because I think they're just going to try to kill everybody at some point you know he
262. 30:25pretty much said it's like yeah you know it mayen happened and it's like yeah it's definitely going to happen cuz you
263. 30:30see they they have an audio product that's coming out soon um on that side they have they have all this stuff and
264. 30:37I'm just like okay and then Sora Sora I had um a bunch of video companies reach out to me and they're like oh yeah can
265. 30:44we do a video together Etc Sora launched and they all canceled at the same time they're like well we give up you know
266. 30:51delete them we're done it's over well the thing the thing that was most exciting to me about Sora is is the approach that the the very first
267. 31:02sentence of the of the announcement of Sora was that you know Sora is a system that understands and simulates the real
268. 31:09world it's not a video tool right it's it's a video tool that understands oops I just spilled the drink it's a video
269. 31:17tool that understands physics right and you're like oh like that's just a completely different conversation well it's like UD you know
270. 31:26udio the the AI song creator that came out it turns out Killer song last night on my live it was so much fun yeah know
271. 31:34I love that one but it's not a a music generator it's a sound generator they were able to make it create standup
272. 31:40comedy and they're also able to make it generate sounds too at the same time so it doesn't just understand music it's an
273. 31:47entire sound generator and even how these llms work is amazing just how it's like oh we fed up more data and now it
274. 31:54knows physics and then we fed up more data and now it understands reasoning and then a bit more data and they never
275. 31:59know when these points are going to come they're just like huh look at that it understands that now oh it understands
276. 32:05something we didn't teach it it's like yeah yeah well that's you know with the if with ha jens's you know my company
277. 32:14Story vines a a video storytelling thing and I've been playing around a lot with hay Jen's translation tools and it's
278. 32:20like as humans you know as a human who speaks English you know I can look at Spanish and Spanish is easier for me to
279. 32:27understand then say Mandarin Chinese because it's just a completely different thing but to the machine learning models
280. 32:34it like it doesn't it's just as easy for it for it to learn Mandarin as it is to learn Spanish and that's just
281. 32:41mindblowing that like to your point you just dump different data in it it learns it and now you've got access to that and
282. 32:47that's just that's just you know I that's that's the thing that I think changes everything right that that it
283. 32:54used to be if you wanted to get good at something you need needed to go back to school or you needed to put your 10,000
284. 33:01hours in as Malcolm Gladwell would say and now you can just have access to it or you know that's where we're headed
285. 33:09and that that to me is just you know yeah no it's it's crazy and then there's the whole AGI conversation which
286. 33:16I find it's hard to get the full definition of that like that's where people really struggle because a lot of
287. 33:21what people talk about is ASI and that's almost what I consider an AGI it's like when is AI better than the best at every
288. 33:28single subject and I feel like we're not that far away from it because at that point that's when you can use AI to
289. 33:35train and make AI better and that's when we hit the flywheel the flywheel is ABS like as soon as we hit that point and
290. 33:41that's where qar got a little bit crazy where it was rumor like oh it made its own type of math it's better than ours
291. 33:47and I'm like well it's that's actually believable yeah um but it's really it's like how far are we from that and it's
292. 33:53kind of yeah the last 5 10% may be the hardest part and we may 90% but that 10% is going to take us years but as soon as
293. 34:01we get to that point where AI is able to train AI better than we are that's when it's able to do it 3,000 times an hour
294. 34:08and then that's when we go into Skynet or AGI or whatever whatever the next step is the unknown there's there's also
295. 34:15a lot of conversation about semantics and and they kind of drive me crazy like first thing I thought when I when I when
296. 34:23I played with chat GPT was oh the Turing test has been soled like I immediately went to the test Sol and then there were
297. 34:30like months of people going well the real touring test you for 5 hours and like they're they're they're sort of
298. 34:37moving the goalpost right and I feel like you know AGI is similar where you know I guess AGI is you know better than
299. 34:43the median human at most jobs or whatever it is right and I'm like Well Chad GPT already knows significantly
300. 34:50more than I ever will like buy thousands like it's it's already way past where I am in my opinion now now can it actually
301. 34:58execute my job and have judgment and reasoning okay it doesn't have that piece right but but just in terms of
302. 35:04access to knowledge it is significantly Beyond me so now you add in a reasoning and logic layer to that and yeah it's
303. 35:11absolutely you know miles beyond what I'm ever going to be capable of doing but we all have access to it so that's
304. 35:19that's again the thing I get really excited about is yes it can do that but we get to direct those tools right and
305. 35:25that's that's where you know that's for now at least yeah exactly no it's um no I completely agree where it's like because that's what they
306. 35:37say it's like the 50% median and I'm kind of like well I feel like it's beyond that and that's the whole like
307. 35:42and you know one downside of humans is we'll never agree on anything um to any extent and that's why it's like we don't
308. 35:48have these definitions and we Pro we'll be long into ASI and like Singularity before even humans can can figure it out
309. 35:55I'm I'm a pretty big optimist in general for all this technology and everything so you know everybody's always saying
310. 36:02like oh AI is going to create all these problems and I kind of think if we make a super intelligence that it has a good
311. 36:07shot at being smart enough to solve the own Pro its own problems that it creates it kind of beyond that and that's one
312. 36:14thing that humans have never been the best at like we got intelligence locked down pretty good uh solving our problems
313. 36:20of course we have solved quite a bit of them but for it to just do like a a clean sweep and be like okay all the problems are solved
314. 36:28yeah yeah let's go fix it yeah no I you know I'm an optimist as well I I feel like it's you know if if if you look at
315. 36:37history every single technology that's been significant has been met with resistance and riots and violence you
316. 36:48know the printing press the steam engine the flipping Loom you know uh there were RI the loom right you know yeah so every
317. 36:57single Tech technology so it's not surprising to me we also have you know 50 years of Hollywood telling us the
318. 37:02robots are going to kill us right so so I think there's a natural fear plus there's just that fear of a new
319. 37:09technology but what I'm experiencing in the AI salon and in the AI learning lab is the the the fear that people have
320. 37:20almost always like with very few exceptions is people that haven't tried it and what I am experiencing is that
321. 37:27the minute people try it they're kind of reintroduced to their humanity and like what what they can what they can do now
322. 37:35with these new tools and I'm just watching people reinvent themselves and ReDiscover their passions and and you
323. 37:42know start businesses and it's it's absolutely flipping inspiring right uh for people that actually try it and so
324. 37:49that's like my mission is just similar to yours like just you know learn about this stuff try this stuff get curious
325. 37:56about it because the you get in touch with this thing it's just like boom this world opens up and it's
326. 38:02remarkable no it is and I think there's a lot of fear and I talk to a lot of artists about it and everything else
327. 38:08it's I truly view it as a tool of Leverage and like someone who's very artistic will always beat me in AI image
328. 38:15generation if we were to go head-to-head because they know what good art is and I don't and same with music generation and
329. 38:22even from the marketing side copywriting you can't write copy with the best large language model if you don't know what
330. 38:28good marketing copy is you have to have the base knowledge so just you have to view it as a tool of okay I've got
331. 38:34knowledgeable in this field and now I have this tool that can make me a hundred times more productive on that
332. 38:40side and create a hundred times more pieces of art or even just as an artist train to model on all of their art and
333. 38:46then in the future everybody's going to be able to do use your generator or your image model to create more versions of
334. 38:52your art that are customized to them like it is it's truly a leverage thing and not just something where it's like
335. 38:58okay well my career is dead it's like no you just got some more time on the beach now you don't have to sit there in Ms
336. 39:05paint just going away being like well is this good Etc it's like and I have a rule if any task takes me over five
337. 39:11minutes I try to find a way to have ai replace that or automated or or do do anything on that end so I'm yeah I'm
338. 39:18extremely optimistic on that side where and it's going to be a long time before someone with no knowledge of art is able
339. 39:25to go in there and beat a true artist at AI image generation like they do have the advantage I look at some of my
340. 39:31Generations versus like the Community Feed and I'm like wow these guys are amazing like this is unbelievable that's awesome that's
341. 39:40awesome yeah yeah I don't know man I um yeah I'm I'm really hopeful about it what what are the things that you think
342. 39:49what you know what are the things coming up that you're excited about is there anything that you're on pins and needles
343. 39:55about is it all GPT 5 for you like what's what's the stuff that you're you know you're impatient for I think the
344. 40:04video stuff um especially even just helping I'm not a v I learned video editing myself and I'm not a good video
345. 40:11editor so just more tools that are going to actually help with that adobe has their new stuff where you can put
346. 40:16generative inside of it I think that's going to be pretty cool um definitely just the AI video generation getting
347. 40:24that to the point of say mid journey and everything else once we truly figure out text and AI generators like idiogram is
348. 40:31a massive leap for it but it's still for any kind of complex text you're looking at maybe two of the four Images are
349. 40:36correct for it and there's limitations um on that side so that's pretty interesting um the song stuff is really
350. 40:44cool too I know a company they're called son AO they're YC combinator I found twers team they made it most um of these
351. 40:53these song generators are um they're actually using language models and but he's using a diffusion model which
352. 41:00actually is going to let you go in and prompt edit the entire song after it's been created so just because like
353. 41:07instead of you know udio you have very limited edits that you could do of course you do the lyrics and stuff but
354. 41:12you're like hey I want to trombone here and like drum solo drum solo let's go but just like expansion of these
355. 41:20Technologies on top of it too because I also you know I see it for my kids my oldest just turned 10 um and you know I
356. 41:27got five of them so it's just even seeing how they're using these tools and giving them the capabilities to do stuff
357. 41:32like create their own stories and videos and seeing them do so just more and more that coming to the consumer level at
358. 41:39reasonable prices I still think some of it's a little bit expensive my AI bills can get a bit expensive but yeah other
359. 41:45than like gp5 it's good to see all that stuff come out but I think really I'm excited about just the different models
360. 41:53and like the like I said the proactive chatbot I think think when somebody nails that inflection tried to do it and
361. 42:00like it's still good and you're still kind of talking to it but you know where we have our true either second brain or
362. 42:05a robot assistant or anything like that and then of course I'm all in humanoid robots I just started doing videos on
363. 42:12those because I want one I'm like sponsor me send me a robot I don't want to ever do the dishes again cook clean
364. 42:19well I can give that to robots that's fine that's awesome we on my on my Live a month or two ago U we were talking
365. 42:26about the the robots and we actually came up with you know I've written screenplays so I'm always sort of
366. 42:32thinking stories and uh we we came up with with a a movie idea um that um four different people are given early
367. 42:41versions of humanoid robots they win it like in a grocery store contest that's in the town of the robot manufacturer
368. 42:48and then and then it's all the wacky hij Jinks with with the 1.0 version of the inhome robot right where you know the
369. 42:55minute the people leave the robots kind of go nuts you know no I think like that's a whole another and even on the the
370. 43:04medical side I'm really excited to see just more medical breakthroughs and everything I think that's going to help
371. 43:09shine a good light on AI and what they're doing with even stuff like because we have ASI and stuff like Alpha
372. 43:14F fold or you know the chess and Etc like we're at that top Beyond humans in a bunch of those fields but they've been
373. 43:21very closed doors very specific like Google deepmind basically takes care of all of that stuff and I'm really excited
374. 43:28for some of that even just the fact that they're able to generate all these new materials um on on their end where it's
375. 43:35like oh we had 13 before but we found 87 new ones that could potentially change all of humanity um within a short period
376. 43:43of time it was three 380,000 new stable crystals they found and humans up to that point had discovered 22,000 and
377. 43:53then using computers had found another 44,000 so so like humans in computers up to that point it was like 66,000 right
378. 44:02and then overnight here's 380,000 stable crystals like I I mean you know like the the the implications and impact of that
379. 44:12we probably won't know for five or 10 years but holy crap right like CU in there is a battery that charges in 30
380. 44:19seconds that lasts for a day right you know in that is you know you know easy electri you know electricity trans
381. 44:27Mission all you know all just all the sort of stuff is probably sitting in one of those crystals that we have yet to
382. 44:33sort of bring to the world it's just staggering yeah no that's that's it like those are really going to be some of the
383. 44:39big ones of course on the tool side I'll take anything I could get give me even a better version of mid Journey I'm happy
384. 44:45you know get I'm excited for the the release of that it's it's interesting to see large companies like Adobe fall kind
385. 44:52of behind in it just because of how they're trying to do it with Premiere was kind of their first admit of defeat
386. 44:57so with premere how they're like we're going to integrate Runway ML and Pika and Sora to it it's like okay it's good
387. 45:03to see on that side because the new Firefly I tested it out um hopefully adobe's not listening but it wasn't good
388. 45:11yeah you know but they have the users so I'll tell you I'll tell you a funny thing about Firefly that you can try so
389. 45:17I I you have a go-to prompt you're Spaceman you know my my go-to prompt is a a 70s muscle car in an abandoned
390. 45:26Factory with light streaming Through the Windows Firefly because it was trained on public domain images it doesn't know
391. 45:32what a 70s muscle car is so when you do it it's like a 1962 like stand they're horrible so my test for Adobe is you know when it
392. 45:43recognizes 70s muscle cars then I'll know it's made a leap but even version three can't do 70s muscle cars it's
393. 45:50really funny no it's so it I think they're all using the Nvidia one IO had the same thing so Nvidia has one where
394. 45:57it uses like a layering technology and you could tell they're just cutting out one version like they're they're getting
395. 46:03all these like say Lions they cut them all out and they're almost just like putting like glue stick out and
396. 46:10squishing them all they're squishing them all together on that side so they're not they're trying to be like oh
397. 46:15we have all this training data and they're just training it in a really weird way and just using stuff that's
398. 46:20not competitive but even just seeing the the open market significantly outperform these corporations yeah that's uh that's
399. 46:27that's a good thing to see that's a good thing to see well you know going back to the rabbit R1 it's like when I when I
400. 46:34really took in what that device was I'm like that should have been something that Apple disrupted the industry with
401. 46:41right but it wasn't you know Apple's kind of fat and happy and just sitting on their Laurels and like where's Apple
402. 46:48by the way I'm that I'm waiting for I guess worldwide developer conference will see something but it's it's uh they they are they are
403. 46:57visibly late to the party no they're gonna try so Apple's always late on technology even smartphones like we had
404. 47:04the because I remember back in the day I wanted one of those windows phones or the pal phones or everything else where
405. 47:10they're probably going to come in late but I could see it they're trying to train their own models and they released
406. 47:14a paper saying that oh it's this 30 billion model is better than gbd4 and I was like yeah right maybe maybe from
407. 47:21your testing but they're they're definitely behind in it even like Samsung's not doing the best job they're
408. 47:27just I don't think it makes sense they're Hardware companies you know there they software they're not really
409. 47:32made for this big gen AI boom on this side but yeah they're significantly late at this point like you could some people
410. 47:39tried to say that oh they had AI first it was Siri and I'm like ah I don't I don't know about that fliping use Siri
411. 47:46it's hard yeah like I think we should flush that brand down the toilet and start over quite honestly but whatever
412. 47:53yeah yeah we'll we'll see with it and same with like Alexa and Google and and everything else but no I I honestly
413. 47:59think they'll probably partner with open AI they the thing is they have enough Capital where they could even like
414. 48:04acquire well not after Microsoft did what they did Microsoft took the most interesting out of all the tech
415. 48:09companies like Google's really just sitting on it they're not sitting on their hands they are releasing some good
416. 48:14stuff but considering they made the Transformer model like they are like they basically started it to some extent
417. 48:21and to see them so far behind it's like and it it's an interesting thing I see on large platforms where they're having
418. 48:27issues where um so I've talked to a lot of just software companies um learning companies Etc so this one was telling me
419. 48:35about it and it made total sense because we made a custom tool to go into it to be like a coach and co-pilot and you
420. 48:40know help people complete the course and everything else and they're like yeah Matt the the biggest problem with it is
421. 48:46we don't just have like coach like coaches on here we have tutorials on how to install a washer and dryer so it's
422. 48:53like any AI solution they create has to go across their entire product Suite so that's why you see with these big
423. 48:59companies they're basically hands tied behind their back because they can't just do something Niche really well they
424. 49:05have to make a broad AI that goes across everybody and it usually just doesn't work that well it's not trained right
425. 49:11for it yep well Google also had the the you know the the the disadvantage of effectively having a monopoly they didn't have to innovate
426. 49:22and and unlike Microsoft Google doesn't have a software business to fall back on right they're they're all advertising
427. 49:31and and search advertising right that's what is it 70% of their revenue or higher 77 something like that so so okay
428. 49:39you invent a thing that if you take it to its logical conclusion is going to just answer someone's question rather
429. 49:46than give them a list of links well their whole business is based on giving you 40 links and getting you to click on
430. 49:5230 of them right they're not they're not in the business to actually get you the answer they're in the business of
431. 49:58getting you to engage with other people's content and and that's one th% at odds with what chat GPT does right
432. 50:08like it's it's like so so that's a that's a rough thing you just disappeared yeah my camera overheated
433. 50:14one sec oh that's really funny it's it's only good for uh it's only good for like 50 minutes and then it that's hilarious
434. 50:21I just got to turn my fan around it'll come back wait for it yeah I I'll just have to be smaller for I'm AI you caught me yeah right that's
435. 50:33good um yeah but but what you know here's the other thing about Google that that the the thing that they absolutely have is they've got the
436. 50:44smarts right they've got the engineers that can do um can do remarkable technology and can can produce um remarkable technical
437. 50:55results unlike Apple they don't have the humanity side of the house right Apple's always been a balance of the art and the
438. 51:03science right Google went all in on it's it's all engineers in fact they took it to to the extent that they fired all
439. 51:10their managers and said you know it's just it's all Engineers it's all about engineering and what we're interacting
440. 51:17with are large language models right we're we're interacting with Humanities um and um and so I think they've got a
441. 51:24really distinct disadvantage to how do you create tools that really require a lot of that you know human component
442. 51:33where I think apple apple should be really good at this once they once they you know get it rolling they should be
443. 51:39pretty good at this I don't know that I I think Google's going to struggle with that for for some time no I I
444. 51:46agree um it's they they have some Advantage where they have like a business Suite that they could really help with it but
445. 51:53they're it's it's just interesting to see how they're kind of going about it cuz I think they got a little bit cocky
446. 51:59too with Gemini where they stopped worrying so much cuz they released the whole that internal memo that released
447. 52:05we have no moat and then after that they almost they were just they got cocky they're like okay you know we we got
448. 52:11this figured out we got a million tokens you know this is our mode it's like we have better tpus and everything else and
449. 52:18I think that's where that's where it kind of dropped off on on that side and they're dealing with the same thing as
450. 52:24all these other big companies is um it's like how do we roll out something that works for everybody and that's always
451. 52:31the hardest thing and I feel like that's why even co-pilot Microsoft did co-pilot and like they're supposed to leverage
452. 52:38open AI for it but if you compare open AI users to co-pilot users even though co-pilot's free um it's it's not the
453. 52:45best on that end they are winning on a couple ones like with their GitHub their GitHub is actually getting really good
454. 52:50when it comes to that but there's also other competitors too uh at the same time but it'll be interesting to see how
455. 52:56all goes and then all these companies have a lot of like I think if Google gets really far behind they have enough
456. 53:01money where they may try to fix it with acquisition which is the Microsoft play like how Microsoft they didn't buy
457. 53:06inflection they're like we'll just hire all their employees and then by and that's because everybody was I how do you how do you
458. 53:15how do you hire away the two co-founders and most of the employees and not get sued into Oblivion or you know at least
459. 53:22taken to court there there's got to be a side deal there I I I have never seen that kind of you know sort of pilfering
460. 53:31of the the intellectual Firepower of a company before cuz inflection raised $1.3 billion do it's not like you know
461. 53:39they don't have they're not small yeah you know vested investors so I I don't know how they pulled that off but that
462. 53:46that one's that was pretty impressive yeah that'd be an awkward conversation with the investors like H yeah about
463. 53:52that we're going to go with Microsoft but don't worry we'll give you a couple employees um I think a lot of the reason
464. 53:58was just uh the whole antitrust and everything where companies are having issues buying companies right now so all
465. 54:04these big mergers are like how the figa and Adobe deal got basically pushed under and I think that was their way of
466. 54:12getting around it where they're like hey if we try to do it we're going to go under Federal scrutiny let's just let's
467. 54:17just go around the let let's just hire everybody from there and see what happens yeah that's that was my instinct
468. 54:24is that it's some sort of you know 3D chest acquisition that you know a year from now the acquisition will be
469. 54:30complete right you know yeah that they just about did it with open AI like during that whole weekend that was the
470. 54:36craziest weekend ever Sachin was just ready to take on 300 new employees on that side that would have worked out
471. 54:43crazy for them that was nuts well that's that's what the inflection guys that you know they started that that division
472. 54:49that Alman and Brockman were going to start so yeah that was that was a fascinating like that's that's one of the things I'm
473. 55:00excited to learn about is once all the all the new technologies from open AI release where they can actually talk
474. 55:07about what happened back in November that's going to be fascinating because there they talk about a movie right oh
475. 55:15no that's what I was thinking in Netflix that's a five parter on Netflix for sure movie for sure like what the hell went
476. 55:22down there and and just just the drama of you know they're gone they're back they're gone they're back now they're
477. 55:29working for Microsoft now they're not working for Microsoft like wow that was that was crazy and then we haven't heard
478. 55:35from Ilia since then oh overheated again IL Ilia you know what the problem is Ila's got your camera yeah I know I
479. 55:43guess right I got to just put my fan on it it's a downside you get set up with a DSLR and you think it's going to be
480. 55:51great but then you get all the problem of it yeah see I'm I'm still on the um just turning on my phone my my my
481. 56:03studio is a phone and a you know a $10 tripod from Amazon you have decent lighting though yeah I that's a my lighting is a little
482. 56:13LED strip from Ikea it's a $10 light a $10 tripod and my phone oh man you don't you honestly you don't need much no I just overkilled it
483. 56:27I had the problem is with me is when I get into stuff I get like super I have to be careful what stuff I get into
484. 56:34because next thing I know you know it's like even I'll go out for a bike ride next thing I know I'm calling my wife
485. 56:39like yeah I'll be home at like 3:00 a.m. you know I'm having to Uber back because I just got a little bit too little bit too
486. 56:47cocky with how far I go that's right you wrote into Wisconsin over the niag falls passing yeah 100% that's
487. 56:58hilarious nice so yeah tell me more about the whole AI Salon AI Labs I haven't got too much into it on on that
488. 57:07side but I just want to know what you're creating on your side it's everybody that talks about it says amazing things
489. 57:13so congratulations for one on that thank you thank you very much yeah the AI Salon is really a remarkable group so so
490. 57:19that's so we have meetings every other week and then we've got a mighty Network so if you go to AIS salon. mn.com Mighty networks.
491. 57:28co.com um that takes you to the AI salon so you should definitely come join and then you know within it um there's all
492. 57:35sorts of different areas think of the mighty networks as kind of like a cross between it's like Facebook and Discord
493. 57:40had a baby right you know so so there's conversation areas we have a showand tell area where people can show off the
494. 57:46work they're doing we've got guilds in four different categories creative business tech and and ethics um and and
495. 57:55there's just all these sub communities within it we really encourage people to use their real names you know one of the
496. 58:01things about Discord culture is it's it's because it came from gaming it's a lot of anonymous Tech Bros and things
497. 58:08like that one of the things I feel really passionately about is that we are in the middle of a transition from from
498. 58:16a future of work perspective from people hiring um because of the skills you had to people hiring for your aptitude and
499. 58:24because they know and trust you because the AI is going to do a lot of the skills part and so you're not just
500. 58:30hiring people for their skills anymore so I think being in community and and building trusted relationships um in a
501. 58:37community like the AI Salon is going to be the future of work I think that's how I think that's where hiring goes um and
502. 58:44so so so that's it there's also a thing similar to the early days of the worldwide web where this stuff is moving so fast that
503. 58:53literally no one on the planet has their head around this so everyone's trying to figure it out so if you're in a
504. 59:00community of people that are all trying to figure it out you'll get all these different perspectives and you'll learn
505. 59:06a lot faster right so there's a there's a sort of speed of learning thing that happens and then the relationship
506. 59:11building thing really becomes foundational for for where we're headed so that's the salon and it's it's just
507. 59:17it's amazingly generous people they share what they learn they're they they're collaborating a lot they're
508. 59:22starting projects together uh it's really exciting and then the AI learning lab is really just my Tik Tok Channel it
509. 59:29just started out I was doing a lot of the similar stuff you were doing where focusing on products and things like
510. 59:34that and then on on April 30th a year ago I did my first Tik Tok live and here's what I did I um I used to come
511. 59:43home every night I have a SIM racing rig and similar to you something I go into it right yeah yeah so I would come home
512. 59:50and every night I'd have dinner you know i' get home I'd have dinner and then I'd Sim race for two or three hours and as I
513. 59:56got into this AI stuff and and just really realized listen I got to put time and focus into this I thought what if
514. 1:00:02for the next year instead of sim racing two or three hours a night I went live two or three hours a night and so that's
515. 1:00:08what the AI learning lab has really become is just this nightly live jam session and the biggest surprise I I
516. 1:00:16don't know if if you do a lot of of lives but the biggest surprise for me in that is I kind of had a preconception of
517. 1:00:23media as you know you produce this content people consume your media and what the AI learning lab has become is
518. 1:00:30like this interactive jam session where you know I'll sort of come in I have no agenda sometimes I'm demoing software
519. 1:00:37sometimes we're just you know pontificating about what's going on sometimes there's a lot of input sometimes there's not um but because a
520. 1:00:44lot of the members that show up to the live all the time are also in the salon I can be talking about stuff or trying
521. 1:00:52stuff and they're like actually making images and posting them to the salon and they're like oh go check out the
522. 1:00:56Irregulars Channel by the way the the uh people that show up to my live regularly they nickname themselves the Irregulars
523. 1:01:04a bunch of them are here hello um but the Irregulars are just this amazing Bunch that they just show up night after night after night
524. 1:01:13because they recognize that this AI stuff in order to be literate with what's going on you have to actually be
525. 1:01:22active in the conversation and so that's what that Channel's become is just like a just keep the conversation going keep
526. 1:01:29playing keep exploring and and that's that's the AI learning lab so they they really compliment one another nicely
527. 1:01:36nice oh that's crazy and great uh yeah giving up Sim Racing for that you got to blow the dust off of it at this point I
528. 1:01:43guess um anything I could do to help on my side you know if you ever want me to jump on a training or anything like that
529. 1:01:50I'm open for it couple things I would love to have you join the salon and then I think I haven't explored doing this
530. 1:01:57kind of thing like doing these Joes I like this I think this was fun so maybe we maybe just on a you know regular
531. 1:02:03basis every you know week or two we just grab an hour and and just play I think that could be good for both of us and
532. 1:02:10good for the audience no 100% I'd love to do more of these lives I've been that's one thing I find even about the
533. 1:02:16AI creators is it's actually a really good community on our side just of creators everybody's willing to
534. 1:02:22collaborate so not sure if you know who Tech friend is but I've done live with him um AI Savvy Victor I've tried to do
535. 1:02:31so we've had technical difficulties about five times you know but I'm feeling feeling optimistic that we're
536. 1:02:36going to get uh get it going eventually yeah it's it should at some point um but even just like the connections I've made
537. 1:02:43on this side everybody's been great and you know it's like really on our side it's just trying to to educate people
538. 1:02:48while learning ourselves that's the whole thing it's like I don't claim to be an expert in any in any of this stuff
539. 1:02:55I'm just I'm learning and teaching everything I learn and I find even when I teach I learn stuff better too at the
540. 1:03:00same time every night I one of my mantras is there are no experts and if and if anyone tells you they are an
541. 1:03:07expert run um because yeah no no one can know what's going on with this stuff right now um yeah it's it's I every
542. 1:03:15single night someone will share something or I'll see something that's actually the uh the the decco here
543. 1:03:21stations thing I didn't know about those and and Danielle one of the Irregulars came in and goes you know about these
544. 1:03:27stations I was like No And then I went and looked at it and I was like holy crap so like a lot of I'll discover
545. 1:03:33stuff in real time and that's really exciting yeah I've had a bunch of them they just come in my chat and they're
546. 1:03:39like tengra AI I'd never seen it before I just did a video on it one of the one of my chatter because I've been
547. 1:03:44exploring with lives a bit more lately I hadn't I did lives for a bit after I sold my agency because I was teaching
548. 1:03:49people how to do affiliate marketing and I didn't want to teach like 87y old teren who doesn't know how to use his
549. 1:03:55laptop how to do compete in the most competitive thing you can in marketing and I I feel bad I I'm not one of those
550. 1:04:01I can't push some Ponzi course and be like you'll make a m I didn't want to be that person so I did lives for I did non
551. 1:04:08I did about 200 lives over 200 days and I was just like ah I don't really enjoy this but I do like teaching on on my
552. 1:04:15side and I just would give everybody all the keys for it I'm like okay here's what you and no one did anything for it
553. 1:04:19too at the same time so that's where I was like really the Tik Tok medium is and I like the challenge for me it's
554. 1:04:25like can I review a tool in one minute or even when I do something like a tutorial on like how to use a stable
555. 1:04:30diffusion API in a minute and 30 seconds you know you're just like yelling at the mic being really quick and then you're
556. 1:04:37cutting it too at the same time like okay sorry guys you may have to watch this five times to get all the
557. 1:04:43information but you know it's a it's a personal Challenge on that side yeah that's funny um um kruno Chris Chris
558. 1:04:51Bruno uh just just uh posted you can make money with chat gbt that's I've got a little gold button I'm I'm at work now
559. 1:04:58but I have it at home that that one of the things that used to drive me nuts is all these Tik tokers like you can make money with
560. 1:05:05chbt it's just like no no don't buy those courses just just come in here and play so I'm right there with you like
561. 1:05:12just learn just you know give away the knowledge because it's moving so fast that the the thing that's worth $1,000
562. 1:05:19do today because you've got the proprietary knowledge it's going to be useless 3 months from now so might as
563. 1:05:24well just give it away now so that's what my head is well that's it and a lot of it is just like here's how you can be
564. 1:05:29an automated spammer you know just exactly spam you can now make, 1600 phone calls per minute unsolicited good
565. 1:05:38luck have fun it's so exhausting yeah exactly no it's it's too much and or even just the oh we won't tell you the
566. 1:05:45tool but you have to comment for the tool name comment for and I'll DM you the tool name or it'll be something and
567. 1:05:51they'll overblow the capabilities like this new AI tool is going to replace Hollywood and you know then you go to
568. 1:05:57get to the end of it it's the most basic tool in the end it doesn't come near any of that you're like come on that I call
569. 1:06:03it the AI you know the AI hype Lords they they they have great videos for that kind of retention you really even I
570. 1:06:10get motiv I'm like yeah let me check that this sounds amazing then I find out something like oh it's mid Journey okay
571. 1:06:16that makes sense so anyway uh listen I gotta run I got another meeting I got to go to but but this was awesome mat thank
572. 1:06:22you for inviting me and let's let's definitely do this again this was awesome aome yeah no I had a great time
573. 1:06:27let's do it again for sure it was great to meet you talk in a public form if you ever want to connect let me know hit me
574. 1:06:33up via DM we're we're connected now but yeah maybe even next week we'll do another one okay great yeah let's let's
575. 1:06:39figure something out maybe we'll do a theme or whatever okay cool yeah nice all right yeah cheers all right byee now
576. 1:06:45I gotta figure out how to hang this thing up yeah I know me too that's always an awkward part at the end and then I do it too [Laughter]
577. 1:06:53early all right cheers see you and task let's go all right there you go people peace out good to see you I'll see you tonight
578. 1:07:08at 8 that was fun gotta go bye