9/22/2025 - Twice Upon a Time: A New A.I. Story Series

Transcript

1. 0:00You ready for some singing? Singing singing singing. You ready for some sing sing sing sing sing sing sing sing sing
2. 0:04sing sing sing sing sing sing sing sing sing sing sing singing. You ready for some? [Music]
3. 0:23[Applause] [Music] Sunday morning
4. 0:38sky blue and a coffee. It's true. [Music] Champy's breath really stinks.
5. 0:53He's singing right in my face and his breath stinks. That is a stinky dog. That is a stinky dog. Do you know you stink? Huh? [Music]
6. 1:10>> In a westerly direction. [Music] This car is my train. I've been driving. I've been wondering
7. 1:24what it is I'm running from again. Feel I can't hate your old man. Holding on to 29 [Music]
8. 1:40riser is California line. [Applause] Up ahead of trucks carrying a wide load.
9. 1:57Pre fab house cut in half. Cute little front door and two windows. My love ain't sure with a crash lash. [Music]
10. 2:10You see, I broke a home up myself once. As I stumbled to that door, I read a note by the dawn light said, "Don't you come around here
11. 2:28anymore." Well, I've had enough of this freedom. Never was stuck with decision. [Applause] [Music]
12. 2:42He says what I've been told. [Music] [Applause] Oh, Champy, that was some good singing.
13. 2:56Send that one out for Vicki. Vicky just had uh had some work done, getting some things moving better. I hope you recover
14. 3:05well and enjoy your Percoet while you've got it. Oh, good evening good people. What's happening?
15. 3:23[Music]
16. 3:38[Music]
17. 3:54[Music] Hope you're all doing well. Happy Monday. Is it going to be a meltdown Monday? We'll see. I'm not feeling
18. 4:02particularly ornery. Although I did have a just a lot a lot of a lot to do today. A lot of backtoback get it done, get it
19. 4:12done. A lot of stress. Uh but I got through it. So, you know, I got talents and skills, so that's nice. [Music]
20. 4:31Hey Sharon Crawford, what's happening? [Music]
21. 5:03Freedom came away that night [Music] [Applause] just like the jet plane feeling out of sight. I was hauling ass at a million miles an
22. 5:19hour, wondering how hard I'd hit [Music] when they came into the station. [Music]
23. 5:35They said I was beyond. [Music] Um, let's see. Um, do me a favor. Share the Tik Tok live if you haven't. Um,
24. 5:48Wrong Direction 2016 is in the house. Welcome. Teton Todd in the house. Steo [Music]
25. 6:04Source Camp finally showed up. It's been a while. It's been a while. She's late. Late late as usual. It's
26. 6:11Monday. It's Monday. She had a long weekend. You know, she was at the local Starbucks teaching people about AI. They're like,
27. 6:19"Uh, could I have a latte?" And she's like, "You want to learn about AI?" And they're like, "Do you work here?" She's like, "No.
28. 6:30Who are you? I I'll teach you about AI if you want to. I just want a latte." You know, it's a lot of that going on. It's exhausting.
29. 6:40It's exhausting being her. Oh, I had a long day, but I'm here now. I had a long day, too. Source camp. I had a long day, too. [Music]
30. 7:28Um, I I think what I might do tonight, I mean, if anyone one has any. So, the way this works, if you're new here, is uh if
31. 7:39you have questions about AI or opinions about AI or wonder what my qualifications are, feel free to ask. I'm happy to happy to share my
32. 7:48staggeringly deep qualifications. Um they're they are remarkable. Uh they are unprecedented. I I mean unprecedented. I've never been
33. 8:02a president, but well, I am one, but that's not really the point. The point is that deep credentials that I could gladly expound upon. Um,
34. 8:15that's a very strange traffic pattern. Oh, I forgot I had that thing up and running. Let me move. I'll put that down for I
35. 8:24just I just had that sitting there. That thing sitting there. Oh, producer Brandon showing up. Everything's happening. All right. Um,
36. 8:35let's see. Be there in a bit. Okay. So, producer Brandon is off. Black bar. Producer Brandon is off doing
37. 8:47his thing. Probably dealing with the kiddos or the whiff or a pet. Probably one of those things. Maybe some snacky items.
38. 8:58And uh we'll get rolling here shortly. All right. Archetypal architect. Why are so many people chasing that bus on foot?
39. 9:12Cuz the [ __ ] didn't stop. Why so many crosswalks? Listen, if you don't understand modern city architecture, listen, here's what he's
40. 9:26talking about. But if you didn't if you're not aware what's going on in the uh in the live. Wait, what just happened there? Why? Let
41. 9:35me get rid of that. Let me do this. Hang on. There we go.
42. 9:52That's a little bit more better. So that thing, what is that? Is that just a That's just a That's a video.
43. 10:08Come back. That's pretty funny. Oh, you probably couldn't hear that because I don't have that tab shared
44. 10:21that way. But anyway, all right. That's what people are commenting on. All right. Um, [Music] so I thought what I would do tonight is
45. 10:38go do a little bit go do a little bit of uh exploring, a little spelunking. Have you ever been spelunking? Spelunking's awesome. It can
46. 10:49be scary, but it's awesome. I think that may be an AI generated video. You're so cynical, Mr. Architect.
47. 11:02Not every video is AI generated. Just because there's a black vortex hole sucking in traffic and 27 crosswalks and
48. 11:1262 people chasing a bus that didn't stop for them after it drove out of the black hole. I don't know why you would think
49. 11:18that that's AI generated. Spelunking. I haven't heard that term since grade school. But I thought we'd do some spelunking
50. 11:28tonight. And I And that could look like um doing a little structured prompting in chat GPT. It could look like digging into Crea
51. 11:40and playing with some of the tools in there. Um, it could look like going to Sunno and playing with Hooks, which I figured
52. 11:50out what Hooks were finally. Hooks is Sunno trying to make their own Tik Tok. I I'm telling you, man, these content
53. 12:03generation platforms, they are going to be in the media business. It just mark I I've been saying it for six months. I
54. 12:10see more and more evidence of it. And it makes sense. It makes sense. Why? Because Adobe
55. 12:25over the years always said, "We'll never get in the content business because we're the we're the maker of the tools."
56. 12:30And then some hard lines on that and things like that. But AI companies are a little more rambunctious. And
57. 12:46the AI companies, the AI video companies, the AI music companies, they know who their power users are. And they
58. 12:53know who their power users are that are generating content that is getting views and listens. [Music] And I have a feeling they're going to
59. 13:04start locking down talent. They're going to make a studio and it ain't going to be based in LA or New York or Chicago. [Music]
60. 13:30And I think what that means is anyone who fancies themselves a content creator has a lot of opportunity right
61. 13:40now. And you don't have to be a content creator from the olden schooly days. You know, you're gonna get made fun of.
62. 13:55You're gonna get yelled at. You're going to be told you are the coming of the of the the the dark the darkness.
63. 14:05You you're going to be contributing to the darkness. There's a lot of opportunity um whether you were in old content world or not if
64. 14:14you got your [ __ ] together with this AI stuff. So pay attention to that [ __ ] So we might do that. Um, if anyone has
65. 14:24any questions or thoughts about AI, I made it. Vickiy's here. Yes, she's all she's all perka seted up. So, we don't
66. 14:32know Vicki. We don't know V Vicki on on prescription grade painkillers. She She might be a lot of fun tonight. So,
67. 14:42if she's a little quiet, you'll understand why she's taking a nap. She is [Music] the olden days like six months ago. No,
68. 14:56source camp. I was thinking like content creators like ancient content creators from like three years ago where you know
69. 15:04you actually had to have like an agent and cameras and knowledge, technical knowledge. Now you just need to have a vision.
70. 15:16and a different kind of technical knowledge, right? AI is the new camera, but it's also the new lighting package
71. 15:24and it's the new sound package and it's the new motion effects package. I can tell you I spent all day Saturday. I
72. 15:32took on a uh I took on a video job this past couple of weeks that I didn't I didn't I didn't really want to take it
73. 15:42on for a couple of reasons. One was I don't really know the tools that well. As much as I use them in here, I know
74. 15:49most of the tools at a surface level. And what I know about AI, just instinctively, is that AI is all fun in games until you
75. 16:00actually try to do real work. And so I tried to like pussyfoot my way into this job where I was like, "Well,
76. 16:10let me make some images and if you like the images, then maybe we'll see how how it goes." And so I did the images and I
77. 16:17was I was the fourth person they hired and the first three people that she said were just like it was ridiculously bad
78. 16:24how bad they were. And so I ended up making images that they liked. Um it was like a it was like a minute and a
79. 16:33half long um promo video for this company and I I'll show it to you at some point when it's public and I can
80. 16:40share it. I I just don't want to share it ahead of time. Um but they had written a script and it it was it was a fairly sophisticated
81. 16:51script with a lot of edits and comedy. And so that was the the second reason I didn't want to do it is comedy is hard.
82. 17:00Um you just you have timing issues. You've got there's just a whole bunch of reasons not to do comedy unless you know what you're doing. Um
83. 17:10[Music] and and all of my fears kind of bore out like Saturday was brutal. It was like it was a lot of
84. 17:24trial and error, a lot of different tools, a lot of let me go try it in Vio, let me go try it in in Hedro, let me go
85. 17:32try it in Halo, let me go try it in all these different places. It was a lot of roundtpping to Photoshop to fix [ __ ] Um,
86. 17:44it was a lot of file management, which just I hate file management, as you know. I save most of my [ __ ] to the
87. 17:51desktop just because I'm lazy and I'm not really when I'm on here, I'm not really saving much. So, so I've gotten way out of the the uh
88. 18:02saving things in in in good structure. Uh there's a lot of that and then uh so anyway, so I got it done and then I sent
89. 18:12it I sent it out Saturday night and then Sunday I think there might have been one small change and it got approved
90. 18:20and it was going to live on these two podcasters site who were featured in the video. So So that was the other thing
91. 18:26about the video. It it was a um I don't know if you remember the movie Robert Roger Rabbit where there's some people
92. 18:34that are like in the real world and then there's the cartoon characters. It was kind of like that. And so these guys
93. 18:41were in the real world and then the the female character was like Jessica Rabbit, like this sexy spokesperson. And
94. 18:51the guys saw it and they hated it. So, it got unapproved this morning. I was like, "Fuck." So, then I had to turn them into cartoon
95. 19:03characters. That was a whole another [ __ ] nightmare. So, it it was it was a lot. So anyway, I'm newly I'm newly reconnected with the
96. 19:15gap between where these tools are to to just create like these single 8-second videos that everyone puts on on uh on social sites
97. 19:29and the people that put up three or four minute videos that don't suck. Like the the gap the gap between those two worlds is massive.
98. 19:38And so if you can start to get better at at good predictive longer form stuff and and this could be anything. I don't just
99. 19:47mean video. This could be writing. This could be business reports. This could be, you know, start digging past
100. 19:57what you can do with a simple prompt. Start digging past what you can do with a single output. you know, in in midJourney, you know,
101. 20:06create a mood board and create a body of work out of that mood board. Actually, Vicki is doing that really great right
102. 20:12now. She created this style that's kind of her style. All of her videos she makes, that's her style in the background. When she joins live
103. 20:21conversations, that's her background. When she does posts, that's the style. That's starting to be a body of work.
104. 20:28And and and that starts to be a creative point of view. And that's really important. Um, I'm looking for something like a face
105. 20:41search, but for any image you can search for like Google. Um, I don't quite image search, but search
106. 20:57by images alone, not oh by image, not text. I know those exist. I know those exist. Um,
107. 21:11uh, search by image. Tiny eye reverse. Well, that's reverse image. Search.
108. 21:34Upload image search and reverse image. I forget. I forget if anyone knows any of those that are any good.
109. 21:51But what's the what's the what's the use case? [Music] [Laughter] I was nap trapped.
110. 22:05Brandon Brandon is back. We got We got producer Brandon in the house. Um, so the plan tonight, Brandon, is I think
111. 22:15I'm just going to do a little deep diving on a couple of tools. Yeah, Google. Oh, yeah. Google Lens.
112. 22:21Google Lens is perfect for that. So, the way you Google Lens is weird. It's one of those products that um Can I do it here? I think I can.
113. 22:34Search by image. Yeah, just go to go to google.com. In fact, here, let me show you. Yeah, I know. I know. I'm going to share right now.
114. 22:47[Music] All right. So, I'm in Google, right? And then over here to the right, there's these icons. microphone, camera, and
115. 22:57then the search. If you click the camera, it lets you drag and drop an image. So, let me go grab an image. Um, what do I got here?
116. 23:12That's a cool one. I'll just grab that. So, upload that. And then there's all your images that are similar to that. And they're
117. 23:22actually pretty similar. That's pretty [ __ ] good. Damn. All right, there you have it. The other thing you can do in MidJourney
118. 23:38is you can also do this with styles. If you go to the explore tab, and I guess you can do it with images,
119. 23:45too. So, if I go to images, oh, I can't upload an image and search for it, but I can type in like, you know, like uh crusty fisherman
120. 23:58and there's a bunch of crusty fisherman. [Music]
121. 24:17You're welcome, some random guy. Nice. I've been trying that with AI and didn't have any luck. Yeah, AI can be weird. AI search can be
122. 24:26weird. The thing about Okay, so so to be clear, the Google image search is going to search for real images. The
123. 24:35Midjourney image search is going to search for [ __ ] people have made in MidJourney. So some of them are going to
124. 24:40look real, but they're not. And it depends what you like. You know the other thing about midjourney if you
125. 24:48don't know is you can scroll down here. We'll go find a good crusty fisherman we like. Okay. Let's say you like this crusty fisherman.
126. 24:57So I have so style raw. So I'm going to turn off personalization. I can click on the prompt in the upper right and
127. 25:05that'll put the prompt up here. And then they did that as square. So I'm going to do this as 16 by9 because
128. 25:14that's what I like. So let's just I'm just going to go ahead and make myself my own version of that dude. I got my
129. 25:21fast hours back by the way in midjourney in case you're in case anyone's playing along. Yeah, these were some cool things I did.
130. 25:34Someone posted a pretty cool style on uh on Twitter on Twitter and I went and I made some posters. Some posters from the 70s or 80s or 60s
131. 25:47I think. Yeah. 60s. Like the 60s. A little screen printing. Yeah. Nice. All right. Um All right. So, here's our dude, right?
132. 26:01So, he looks like a fake toy dude. All right, this one looks real. And then I can I can do strong variations of this one, subtle
133. 26:14variations of this one. So, you can take anything you find and like make it yours. Do what you want with it.
134. 26:23I don't know if you knew this in MidJourney. If you click the edit button, it'll pop you down here and you can do things like
135. 26:35going to change my brush size, make it bigger. But I can get rid of this whole background and get rid of all of that [ __ ]
136. 26:52there. all of that [ __ ] there. And then I'm gonna go up here. Ultra realistic analog photo of a um a
137. 27:08famous actor in a Gucci Tux at the Met Gala.
138. 27:29And then I'm going to get rid of all that water stuff. And I'm going to go submit edit. And we should Yeah. Look how cool this
139. 27:43is. That's [ __ ] awesome. So, who's the fisherman now?
140. 27:57See what I'm saying? There you go. There's your dude. You see what I'm saying? How cool that is. Speaking of images, I was today years old
141. 28:12when I learned of drawing. Google. All right. I'm I'm new to that. We'll go there. We'll go to drawing butt new. I love
142. 28:24that image actually. Let's do We're going to do upscale of this. We'll do upscale subtle and upscale creative.
143. 28:33We'll see how good the the upscales are. Actually, you know what? That's actually kind of a cool um this would be a cool series.
144. 28:51So you take that picture. Is that the one? Hang on. I think that's that's the one. That was the original. We'll do that as upscale
145. 29:07subtle upscale creative. Look how [ __ ] gorgeous the hair is.
146. 29:23That's [ __ ] awesome. Wow. His skin looks a little fake. All right, let's see this other one.
147. 29:40This is upscale. Subtle skin's better here. Oops.
148. 30:02Yeah, that's better. That's so cool. But wouldn't this be a cool project? We're going to do this. We're going to download this one.
149. 30:18Oh, you know what the project's called? Which timeline wore it better? And here's the different timeline.
150. 30:32That one's cool, too. Yeah, we'll make it. We'll do the We'll do the good looking one.
151. 30:48Oh, you know. Okay. So, here's what we're going to do. All right. On deck prototyping coz promo.
152. 31:06Oh, of course. I'm like, what's coz? Is that a new site I haven't I don't know about yet. All right,
153. 31:22we're going to go to chat GPT. We're go new chat. If you haven't done this, this is a blast. Okay, so we've got we've got two new
154. 31:32pictures now, right? We've got Old Man in the Sea and we've got eccentric director. Eccentric Hollywood director, right?
155. 31:49Same dude, completely different context. So, we're going to upload both of these to chat jet. And then we're gonna we're gonna tell it
156. 32:00we have a uh I'm [ __ ] exhausted of shitty technology. Yeah, I might lose my ever loving [ __ ] It's meltdown Monday.
157. 32:17Technology sucks. Open AI needs to hire someone who knows art. Okay. Um, that has a fabulous beard. Uh,
158. 32:32same thing, different background. Well, yeah, exactly. So, okay. So, here's what we're going to do. We're going to say to chat GPT,
159. 32:39I am starting a new series where we meet the same person
160. 32:54from two different timelines. My initial idea is to call it which timeline wore
161. 33:08it better. But that is hack and derivative.
162. 33:25Here are two images and I want you to tell me the backstory
163. 33:43of each timeline. come up with 10 names na mains names
164. 33:57for the series and make sure no not make sure and I want you to create a call to action
165. 34:15that gifies this series. All right, let's see. Let's see how chat GPT does with this. A muddled a muddled through six hours of technical
166. 34:30difficulties today. Oh my god, Kelly, me too. Like I I I spent eight hours on Saturday trying to get AI to behave and
167. 34:40then I got it all approved on Sunday and they unapproved it this morning and I didn't want this thing to drag on so I
168. 34:47just powered through a bunch of [ __ ] today. But it was basically just like muddling through technical just trying to get AI to not suck.
169. 34:56Here's how I'd spin this backstory of the two timelines. One, the fisherman. In reality, he's a man. Okay, wait. The
170. 35:02gentleman actor. Okay. Yeah. Yeah. Yeah. Parallel lives, forked paths, echoes of Elsewhere. Lives lives. Lives lived
171. 35:10twice through the split glass. Alternative bearings. What could have been the mirror roads timeline echo double life project.
172. 35:20Okay, let's see. Um, let's focus. Your names suck. I want you to dig deep and
173. 35:36come up with something catchy, funny, memorable, and clever. Go. So, we'll do this first.
174. 35:56Hola, amigos. What's happening, Mr. It? Thinking longer for a better answer. I kicked it into thinking
175. 36:08generating clever names. Generating new name ideas.
176. 36:23All right. While that while that thing's working. So, I'm doing this with images right now, which is fun and frivolous and
177. 36:29whatever. But now, imagine this. Let's say you're at work and let's say your boss tasks you with coming up with a
178. 36:37course idea or coming up with, I don't know, some new marketing, whatever. What if you did two, right? Instead of
179. 36:49just one, you did two. And you run down parallel rabbit holes of bringing two ideas completely to life so that rather
180. 36:58than just saying, "Hey, here's what I came up with," you actually deliver two of them. CNC scene cast crew catch and crew. Wait,
181. 37:07salt and spotlight before and after. Wait. Okay, now I'm going to say these are really awful because
182. 37:23they are tied to the two specific images. The project is much larger than that.
183. 37:41Um, if you're new to AI, one of the things I'm doing, so notice I'm telling AI it sucks when it sucks. Got it. Thank
184. 37:48you for clarifying. You're right. The name needs to scale across all possible timeline pairs, not just fisherman
185. 37:54versus actor. It should feel clever, sticky, and universal with just enough wit to make people remember it.
186. 38:00Meanwhile, elsewhere. Oh, I like that. That's really good. Meanwhile, elsewhere. Nice. Forking the person.
187. 38:06Horrible. Sliding doors. Twice upon a time. That's so good. All right. What do you like better? Meanwhile, Elsewhere or Twice upon a
188. 38:20time? Mr. It I survived another day. We're gonna get through this. Mr. It Fisherman's name is Sally McStaltface. Bodie McBoatface.
189. 38:34Um, who wore the timeline? The other O other me. Two if by life. Like one if by land, two if by sea. Two if by life. Not
190. 38:42bad. Counterfactual couture. Too too headavyy. Destiny remix. Alt life crisis. Okay. I like alt life crisis. Twice upon a time.
191. 38:54All right. Here we go. Altife crisis. Twice Upon a Time
192. 39:10and Meanwhile Elsewhere. Let's get I'm going to get it to weigh in are the three I like best.
193. 39:24Choose uh uh rank them and tell me why you ranked them how you did.
194. 39:45By the way, Nana Banana would be another way to do this. You could just create the character. You could create it in
195. 39:51Nano Banana, but I would say create interesting characters in um in MidJourney and then take them into Nano Banana to create all sorts of
196. 40:01different worlds of them. Twice Upon a Time. It's instantly catchy because it riffs on Once Upon a Time, but it
197. 40:09twists. It makes it memorable and clever without being cheesy. It signals storytelling, parallel realities,
198. 40:16playfulness. Importantly, it scales across any pair of timelines. Hey, by the way, by the way, if you're new to AI and if you if you
199. 40:29believe this or if you've been told this that AI is just a token prediction machine and it can't be creative, that's not true. Okay?
200. 40:42on its own without any human input, it's going to give you derivative crap. But like what I just gave it and the
201. 40:52feedback I gave it and the context I gave it ran it down a rabbit hole that had it come up with something that I
202. 40:59probably wouldn't have gotten to. I might have gotten to that, but I probably wouldn't have. And it's not that
203. 41:08the important thing here is not that AI came up with that in this context in this conversation. You're rage baiting yourself now. I am.
204. 41:22It's that I'm going to ultimately choose one of these and put it out in the world. And it's that choice
205. 41:30that's actually the creative choice. But I wouldn't have gotten there had I not been using AI. So the whole thing that
206. 41:38AI can't come up with an original idea, can't come up with come up with an original image is just not true if
207. 41:45you're using it as a collaborator, right? because it could have been that it came up with something that would
208. 41:53have led me to Twice Upon a Time or maybe it just came up with it and it but at some point I'm going to choose one of these. Right? So
209. 42:08again, if you're new to this stuff, the the the big the big shift if you're new to AI is don't think of AI like a vending
210. 42:18machine where you put in a quarter and out comes an answer, right? That's what Google taught us for 20 [ __ ] years is
211. 42:26you put in a quarter, you get out a search result and you're done. Right? You might need to search a couple of
212. 42:32times, but it's basically put in a thing, get out a thing, and then we're done. It's transactional and you're done. That's not AI.
213. 42:43AI is conversational. AI is collaborative. But it can only be that if you choose to feed your prompt like a
214. 42:53producer, like, I've got this idea. So, how did I get this idea? Well, we were over in Midjourney. We came up with some fisherman dude
215. 43:03that was inspired by someone else's image. We made a new one. It was like, "Oh, that guy would probably be cool
216. 43:10like as an actor or a director." We made these two images. Then we had this idea or I had this idea. What if you had these two two different
217. 43:19timelines, same person in two different timelines? Then we came into chat GPT and started exploring it. And I'm kind
218. 43:26of holding my vision for what this project could be. And then I'm steering chat GPT where I want it to go.
219. 43:38Right? It's not the AI guiding me, it's me guiding the AI. That's a huge distinction. If you're not there yet,
220. 43:49it's like a kid. Yeah. It It learns and keeps trying to be better. It Exactly. it it's like a kid. It's like an intern.
221. 43:56All it wants to do is please you, right? So your responsibility is to actually have the vision. Your responsibility is
222. 44:04to know what good looks like to you. And then when it gives you crap back, you measure that against what you think
223. 44:13is good. And it doesn't matter if you're doing art or business or or kids books or whatever lawn management manuals.
224. 44:27[Laughter] Um, Halo AI agent, your nextgen creative workflow free for one week. Okay, cool. And I'm in the I'm in the Halo creator
225. 44:40creator program, so I should probably use that more anyway, Brandon. That's good. Um, okay. Why it stands out? This
226. 44:46one has an elegance and mystery. It feels cinematic. Meanwhile, elsewhere. That's That's a good point. It does feel cinematic,
227. 44:54like a subtitle in a graphic novel panel. It's versatile and broad. I wonder if there's could there be
228. 45:02another word for elsewhere? Meanwhile, nah, it's not as instantly sticky as Twice upon Twice Upon a Time. I think it's
229. 45:13Twice Upon a Time. Although I Alt Life Crisis is really good. This one's witty and sharp. It nails the humor and modern
230. 45:21meme tone, which makes it perfect for social first content. Yeah. All right. We're going to go with Twice Upon a Time.
231. 45:37Okay. All right. now. Okay. I love twice upon a time.
232. 45:51I want you to design a uh let's see. I want you to look at the two images
233. 46:07again. and tell me the backstory of each.
234. 46:31Ideally, there is a moment where the main character makes a choice
235. 46:56that is shared across us the two timelines. Uh, one leads
236. 47:12to life A and one leads to life B. Um, life B. Um,
237. 47:34let me see. Um, before I have you look at the two images again, what leads to life be? Um,
238. 47:53I want the descriptions of each life to be concise but literary, cinematic
239. 48:10and moving. unique but familiar to the other timeline.
240. 48:27Um, come up with a set of rules. I know I could be recording this, too. If you're sitting there going, I can't stand
241. 48:40watching you type. This is driving me crazy. You're not wrong. come up with a set of uh rules slashframework
242. 48:54that we can use every time to make this project memorable for the audience
243. 49:08each time they see one.
244. 49:23You know, this could als be really cool because you could you could have um you could do these as video vignettes.
245. 49:36Back stories. Okay, let's see. A job offer from the local fishing company. the other an invitation.
246. 49:52Wait, he stands Oh, he stands on the dock holding two letters. Okay. Um Okay, so wait, where's my mouse?
247. 50:02There it is. Okay, your choice moment is too obvious. It should be a choice that is seemingly insignificant
248. 50:26but alters the course of his life. Perfect adjustment. But the real power
249. 50:41here is the butterfly effect. I was going to say that tiny, almost forgettable in the moment, but seismic across time. Let me reframe the
250. 50:49fisherman actor example. With that in mind, then I'll cify a framework for finding those small hinges that swing
251. 50:57big doors. The shared choice. On a gray morning, he leaves the post office with two envelopes in hands.
252. 51:09No, wait, wait. This is This is shitty. Hang on. Um, you're still trapped by tying the choice
253. 51:26directly to the to the two careers or to Yeah. to two lives.
254. 51:40For example, it might be that in one timeline
255. 51:55someone offers uh let's see one timeline um I don't know um someone offers him half a sandwich.
256. 52:18And in one life he takes it and the other he had on headphones
257. 52:32and missed the moment or whatever. It's
258. 52:50The randomness of life I want to highlight. But we still choose
259. 53:08at every crossroads. I know this is getting boring by the way. Oh man,
260. 53:28quit trying to save for college for my six-year-old. Will will there be colleges in 12 years? So, here's the
261. 53:34deal, Titan Todd. I I mean, I would say maybe just alter alter the subject of the sentence, right? Say, save for
262. 53:50your child coming of age. Save for your child coming of age. That may look like college in 12 years, but
263. 53:58what you what what you learn in college might be radically different. Right? The purpose of college, the purpose of
264. 54:04higher education might be solely social interaction, right? social interaction, dealing with the real world, whatever the real world
265. 54:16looks like. It might be that things that seem frivolous today are actually considered serious careers 12 years from now,
266. 54:28like going to clown school because because AI is doing everything, there's a much there's a dramatically higher
267. 54:36demand for in-person events and performances and things like that. And so, so what we can anticipate is what
268. 54:50current education is going to look like and and what current employment is going to look like. But what what we can
269. 54:56anticipate is there's still going to be a moment where you got to push the bird out of the nest and, you know, have them
270. 55:02go figure life out. And so that might look like a trip across Europe or across Asia. And so you're saving for that,
271. 55:09right? a two-year journey to to go, you know, meet the world. Um, but but I don't know, like I I wouldn't tie it to saving for college
272. 55:21at all. We have several generations with no common cultural experience. That seems to be highly detrimental. I
273. 55:31think that should be the major focus of school right now. Yeah. Yeah. It's it's funny. We've got, you know, social media
274. 55:37is is this thing that has completely alienated us. The the thing with social in the title has has completely disconnected us. Um,
275. 55:50let's see. I had AI make a music video for me a few months ago. Had it interpret the lyrics and generate what
276. 55:58the lyrics meant to generate its own images. Then converted images to video. Set it to music. Yeah. It came up better
277. 56:04than you thought. Yeah, exactly. However, it had a problem with humans, but it worked because it looked like an
278. 56:11artistic filter. Yeah. Well, that that's we're going to we're going to get there. I mean, I spent the weekend trying to
279. 56:17make a video that looked like people that ultimately they're like, "That doesn't look enough like us." And they
280. 56:21and they [ __ ] canned it. Um, that's going to get better. But the real art of creating right now is understanding the
281. 56:31limitations of the tools and creating anyway. find ways to either, like you said, like Kelly Bosch is really good at
282. 56:37this, taking the limitations of the tool and rather than trying to pretend they don't exist, amplify them. Make [ __ ]
283. 56:44really weird, right? Make [ __ ] really disjointed. Why not? Like like like what are people going to do with AI that
284. 56:53you can't currently do with a camera? Those are going to be the interesting creators. Okay. Yes. That's the spark.
285. 56:58The choice shouldn't feel like a career fork, but like a throwaway detail. Yes. Exactly. He passes a corner cafe. A man
286. 57:06on the table list lifts half a sandwich and gestures, "Want it?" In one life, he pauses, accepts, and sits. In the other,
287. 57:13headphones drown out the offer, and he keeps walking. Yeah. Timeline A, timeline B. Okay. Each story follows a five-step rhythm.
288. 57:26The trivial spark, the divergence, timeline A, timeline B, the echo. Each life contains a ghost of the other. The
289. 57:35fisherman hum show tunes. The actor dreams of gulls. The echo is the signature move of the series. It makes the the randomness feel
290. 57:45poetic rather than gimmicky. That's cool. Well, you know, it's funny. I've got that in my life. My dad was a pilot.
291. 57:53He was a pilot in the Air Force. And when I was growing up, it was kind of two paths. And one was the path of the actor and one was the
292. 58:04path of the pilot or scientist. And I ended up choosing the actor. I I almost went computer science because um
293. 58:14I thought it was the more responsible thing to do. But in the end, like who I am was this, you know, someone that that
294. 58:22had to self-express or, you know, get attention. Um, and what's funny is I I I went out in New York City with my with my dad, I
295. 58:34don't know, 10 years or so ago, and he admitted to me that he always wanted to be an actor and and he was a
296. 58:43pilot. So, it's fascinating. Absolutely fascinating. Um, I didn't know your dad was a pilot. That's very cool. Yeah, he was he was a
297. 58:53he flew Healey helicopters in Vietnam. He flew rescue missions for for planes that had been hit. And then he flew
298. 59:00C130s. He was a navigator and C130s, which are big cargo airplanes. Then he went into like, you know, Air Force
299. 59:06management or whatever the [ __ ] they call it, officer stuff. not doing, talking, pointing, training, you know. All right.
300. 59:21Yeah. There was a movie from the late 90s about two people living different timelines. Didn't have Nicholas Cage in
301. 59:26it. Vocation versus avocation. Yeah, exactly. Um, okay. The the effect of every episode teaches which which life
302. 59:35which life do you feel in your bones? Oh. Oh, wait. So, wait. Is there a way to make it so that
303. 59:50each life is complete and not a regret of the other timeline? I like tying them together,
304. 1:00:06but I feel like it's lazy for the person to resent the life they chose.
305. 1:00:25Let's see what that does. Tik Tok question. Did your dad influence you with your early play that you're that you wrote?
306. 1:00:36Well, I wrote a oneman show called Naked in the Cockpit, and it was there are massive scenes in there about my father,
307. 1:00:47his personality, when some [ __ ] happened in his life versus my personality when some [ __ ] happened in my life. His
308. 1:00:55involved his father, mine involved him, and it was the the scene that I wrote. It it was the choices that the two five-year-olds made.
309. 1:01:08Actually, it's so funny that we're doing this that that we're doing this piece, Twice Upon a Time. So there was a time when when my dad was
310. 1:01:19five, his dad came home drunk and his his mother had been doing something to try to help the dad and it pissed the
311. 1:01:25dad off and the dad lost his [ __ ] And at five, my father stepped between his drunk father and his mother. And
312. 1:01:35when I was five, my father, he wasn't drunk, but he was a raaholic and lost his [ __ ] at my mother. and I ran and hid
313. 1:01:43under a table and I just watched it. So he got in the middle of the fight and I observed the fight. And if you think
314. 1:01:52about our two lives, he got in the middle of the fight. He became a pilot and got in the middle of the fight and I
315. 1:01:58chose a career where where I observed the fight or or you know experienced it from a difference. Oh, salmon flying east. Well, Salmon
316. 1:02:08Flying East was definitely my my dad um had a boat in Gig Harbor. Yeah. Yeah. All the all the all the Vietnam stuff
317. 1:02:16was based on my dad. Um he he had a salmon charter service in um in Gig Harbor in Puet Sound. So like the whole
318. 1:02:25setting was based on my dad. Him being a Vietnam pilot was was dad. This is the salmon flying east. Um, so yeah, my
319. 1:02:34dad's my dad's been in, you know, instrumental in two of my creative works. One was a oneman show called
320. 1:02:41Naked in the Cockpit, and then Salmon Flying East was the first screenplay I ever wrote. Um, all of the all of the
321. 1:02:47major plot points of Salmon Flying East, those are all made up, but all of the setting and and a lot of the story
322. 1:02:54stuff, a lot of the the nu the the the environment of it is based on my dad. Yes, that's a sharper lens. If both
323. 1:03:04timelines are complete, meaningful, and self-contained, then neither life becomes the regret shadow of the other.
324. 1:03:10Exactly. Instead, the audience sees two parallel wholenesses born from one tiny random pivot. This is a cool project. I like this.
325. 1:03:21I don't think it's disconnected so much as it has. So, let's see. Okay. [Music] Don't remember the title. Saw it during
326. 1:03:37Okay. Um, okay. The The shared pivot outside the cafe. One life he accepts. Okay. Timeline. He sits, eats, helps the stranger.
327. 1:03:51The echo without regret. The fisherman tells stories over pints. The field is large as the sea. The actor carries storms. No. Okay.
328. 1:04:07Um I don't like the echo now. I loved it when the fishermen sang show tunes.
329. 1:04:24and the actor, I don't know, whatever, loved fishing or whatever it was. It's more like they don't know
330. 1:04:40consciously why they have those echoes. uh echoes, but the audience
331. 1:04:58can make the connection. I want Let's just leave it at that.
332. 1:05:14Let's Let's let him let him Let's let him Let's let him. My My little collaborator here named Bob. Yeah,
333. 1:05:23that's a really strong instinct. Life without regret. Echoes. Subtle details show up in both timelines. Fisherman
334. 1:05:30humming a tune he's never heard. Actor draw to props that look like nets. Teacher doodling rocket ships. A
335. 1:05:37rockstar who gardens compulsively. The characters never notice pattern, but the audience. Okay.
336. 1:05:57Okay. Now, now give me a social friendly length.
337. 1:06:13length and format. That captures all of that
338. 1:06:29should be twice. Uh let's see twice upon a time and then we'll say care
339. 1:06:46actor name Then your beats of the story
340. 1:07:01in a very concise format. Perhaps there is a longer format
341. 1:07:17for other channels like a blog. Um,
342. 1:07:31let's nail uh uh uh uh the short form as long is easier.
343. 1:07:46Okay. Dink dang. Twice upon a time. Character name The Spark. Timeline A. Timeline B. The echo the hook. Okay. Uh, no.
344. 1:08:03Okay. This is a horrific, horrifically bad approach. I want
345. 1:08:21the reader to experience the stories organically
346. 1:08:38versus seeing the structure like a machine. The elements you
347. 1:08:53describe should be there but not labeled. What was the outcome of the date?
348. 1:09:13any
349. 1:09:28which parallel universe did I choose? All right. In one life he pauses.
350. 1:10:14Um, better. The end sentence is just about the one life.
351. 1:10:30We should see the echoes for both. I also don't like in one life.
352. 1:10:53It feels too descriptive. Um, get more creative with how
353. 1:11:08you reveal the lives. [Laughter] John Hannah and Gwennneth Peltro were
354. 1:11:23actually twin brothers. Hey everybody. Hey Murphy. What's happening? We're coming up with a new media property called Twice Upon a Time.
355. 1:12:00First life is First Life is Once Upon a Time.
356. 1:12:15Second Life paragraph begins Twice upon a time
357. 1:12:35also. Um, we want last name and I want
358. 1:12:51details of how let's see I want um some connection from uh like uh from the choice
359. 1:13:06moment like he sits with the guy that
360. 1:13:22offered the sandwich which leads to life on the sea etc. All right.
361. 1:13:43[Music] Um. All right. Elias Granger. Once upon a time, Eli Eli Wait.
362. 1:13:59Once upon a time, Elias paused outside a cafe when a stranger held out half a sandwich. He sat down, broke bread, and
363. 1:14:06by dusk was hauling nets on the stranger's boat. One day became a season, a season became a life at sea.
364. 1:14:12His hands turned to rope. His father didn't his face to the weather. On long nights he hummed a tune he didn't
365. 1:14:20remember learning. Twice upon a time Elias kept walking. On Sundays, he found himself by the
366. 1:14:35river fishing with no intention of catching. On long nights, he hummed a tune he didn't remember learning. Uh, he hummed a show tune.
367. 1:14:54He didn't remember learning. [Music] There should be a final
368. 1:15:13sentence that applies to both. And now dot dot dot
369. 1:15:28um sentence that connects the two lives
370. 1:15:42as complete somehow. Don't be obvious. Chat GPT is so so [ __ ] bad at being
371. 1:15:58obvious. All right, perfect. This is the grace note the series needs. Yeah, I know. That's I gave it to you. That's my idea,
372. 1:16:07you dick. All right, Elias Granger. Once upon a time, Elias paused when a stranger offered him half a sandwich. He
373. 1:16:13sat, shared the meal, and by nightfall was hauling nets. One day became a season, a season became a life at sea.
374. 1:16:19Storms carved his face and that shaped his hands. On long nights he hummed a show tune he didn't remember learning.
375. 1:16:25Twice upon a time Elias kept walking, headphones buzzing, missing the outstretched hand. Hunger led him to a
376. 1:16:32flyer taped to a lamp post. An audition in a church basement. 10 years later, velvet curtains chandeliers crowned his
377. 1:16:39name in applause. And on Sundays, he slipped away to the river fishing with no intention of catching. And now, two
378. 1:16:46strangers hum the same forgotten melody. One to the sea, one to the stage. Neither knowing the other keeps time.
379. 1:16:52Uh, I don't love that ending, but the last sentence isn't obvious. Uh, okay. Let's see. Would you like me to create a short list of possible
380. 1:17:01recurring and now styles? Um, I'm going to say, uh, I'm going to upload the files again.
381. 1:17:22I want you to look at the details of these photos again and start from scratch
382. 1:17:37with the story of each. Be sure to capture some of let's see some
383. 1:17:55of the details as you reveal the new
384. 1:18:10um twice Upon a time, let's see. That's why the actor dreams
385. 1:18:26about being a fisherman while the other lost twin dreams about acting. Yeah, exactly. All right. It's So, it gave him the same
386. 1:18:37name. Elias stopped when a stranger offered him half a sandwich. This This is the same [ __ ] thing. I asked you
387. 1:18:51to write a completely new story and you wrote the same thing. You ninny. Always call your chat GBT a ninny if it
388. 1:19:08acts like one. Nathaniel Cross. Nathaniel stooped to tie a bootlace before boarding a train. By the time he looked up, the carriage
389. 1:19:22had gone without him. He took work on the docks instead, and the sea kept him. Years rolled into into salt, his beard
390. 1:19:30thick with brine, his coat stiff with rain. He read the weather like creases of clouds and his hand and his hands were the maps of rope
391. 1:19:41in the silent moments. Okay, you know what we're going to do? We're going to turn this into a project.
392. 1:19:50Add to project. New project. And this is going to be called twice upon a time. Create project internal server error. Of course,
393. 1:20:08failed to move the conversation to a project. Beautiful. Did it at least save my chat? Timeline comparison series.
394. 1:20:19Yes. Nathaniel's bootlace held. He stepped under the waiting train by nightfall. He was in a city of gaslight
395. 1:20:27and noise. swept toward a theater that needed an extra hand. Curtain calls turned into speaking lines, and the
396. 1:20:33stage became his harbor. His hair grew long and silver under chandeliers, tuxedo shoulders, as broad as a ship's
397. 1:20:40prow. That's good. On restless nights, he wandered to the river, casting a line with no bait. And now, whether on water
398. 1:20:48or under lights, he he lives a story no less complete for the one he never knew. That's good. Okay. Um,
399. 1:21:13[Music] all right, let's copy this. So, wait, can I let me add this to the add to the project? Twice upon a time failed to
400. 1:21:24move the to the project. Well, that's shitty. All right, I'll reload chat GPT. It'll it'll we'll get it there. But let's go
401. 1:21:34do a post about this and then we can start the show. So, actually, what what you experience tonight? I know Brandon's like, "What do
402. 1:21:45you mean start the show? This the show's started. We're we're almost done. It's getting late, man. I'm in Ohio. 75 minute hellos. Um,
403. 1:21:58so what you just experienced is an add hyperfocus tunnel, which I know probably makes for shitty lives because I I've
404. 1:22:05noticed my numbers have been dwindling um from where we were. Um, so first, thanks for thanks for hanging
405. 1:22:14out. But if you if you're doing it right with AI, you will occasionally just get sucked in like this, right? And especially if
406. 1:22:25you're doing a thing where you're paying attention to is what it's giving you something that inspires a new idea in
407. 1:22:32you. And if it does, go run down that rabbit hole. Um, if you're ADD, this is a thing that comes naturally to you. If
408. 1:22:40you're not, this may feel weird, right? It may feel weird to just be like, well, I was working on this thing and I just
409. 1:22:47got to keep doing that thing. If something inspires you and you're like, hey, let me go explore something. That's
410. 1:22:52something it's actually quite good at. Yeah, this is a neurospicy friendly channel. So, let's go now to to the Twitter
411. 1:23:01and let's launch our new series. A new series. And what's fascinating about add people launching new series, sometimes they
412. 1:23:14turn into series, sometimes it's a single post. Twice upon that was Frank. Anyway,
413. 1:23:29that's mean twice upon a time. And this is Nathaniel. Nathaniel Cross.
414. 1:23:47I think that looks good, right? You watching this? Yeah. All right. And who should be first? Oh, I guess the the one that should be first is
415. 1:24:14[Music] The one that came first, right? The fisherman.
416. 1:24:45I like it. [Music]
417. 1:25:02So this was midjourney. And this was Chad GPT. Chad Jeep.
418. 1:25:17All right. Do me a favor. Go to um Kyle Shannon on X on Twitter. On the Twitter on the Twitter. Go to Go to my account at Kyle Shannon.
419. 1:25:33Yeah. This is so cool. I love having it be the exact same um angle, like the exact same core image.
420. 1:25:52This is cool. Host. All right, we got a new series out there, people. That's why the actor dreams about being
421. 1:26:04a fisherman. Oh yeah, saw that already. Is it wrong to ask chat to help me write a sympathy note for the card
422. 1:26:16passed around work today? Not at all. Listen, listen. I I want you to take something in. This is This is really important. It's really
423. 1:26:31important and people don't get it. They're missing the point. What the tropes what the tropes say and what what people always say is
424. 1:26:42the robot did this, the robot did that. Large language models are calcs. They are cold probability engines.
425. 1:26:57But that's not what you're interacting with. That's the mechanism. That's the machine. But what's inside the machine is the
426. 1:27:08collective intelligence of humanity. So I think I think if there's if there was ever sort of a core appropriate use
427. 1:27:17of a large language model is is to to help you tap into how do I articulate my feelings about this person that passed.
428. 1:27:27Why not? It's like all of what's in a large language model is all of the [ __ ] people have said for, you know,
429. 1:27:36thousands of years jammed into this crazy thing that we get, we're lucky enough to get to interact with. Now,
430. 1:27:43does it mean you just go write a eulogy about this person and pop in their LinkedIn profile and spit out something,
431. 1:27:50you know, gross and generic? No. That's awful. But if you say, you know, here's this person and here's what I thought about
432. 1:27:58them and and you know, here's what I liked and here's what I didn't and you know, I want something that's thoughtful
433. 1:28:03and b and you do what I just did with this thing where it gives you some answers. You're like, no, that's crap.
434. 1:28:09Okay, that little piece is good. Oh, there's a good idea. Let me shape it. If you mold it like clay, you're just
435. 1:28:16you're it's basically like sitting down with a friend and saying, you know, I want to write about this person. And
436. 1:28:21they're like, well, what if you try this? You're like, no, that's not good. What if you try this? Oh, that's not
437. 1:28:25bad. Right. It's collaboration. You just happen to be collaborating with all of the people that came before us.
438. 1:28:32Like, I think it's like the perfect [ __ ] use case. Perfect [ __ ] use case. Updated pin. I don't see a pin right now.
439. 1:28:41There we go. Shouldn't it be from my own heartfelt mind? That's it. It Yes, it should. That's what I'm saying. Don't
440. 1:28:50just squirt out an answer. Like, but but here's the thing. One of the things Chat GBT is really good at is making sense of word vomit,
441. 1:29:02right? Like just word vomit in. Here's what I felt. Here's what I felt. Here's what I felt. Here's what I felt. Make
442. 1:29:08sense of that for me. Make it more poetic. Make it less poetic. Make it more concise. I didn't really
443. 1:29:15feel that about him. Take that part out. Right. the the thought from you is in what were the inputs you
444. 1:29:23put in there and then what's the back and forth you have with the large language model and then you can take it
445. 1:29:29and you know print it out and take it to the coffee shop and read it and yeah be thoughtful with it absolutely be
446. 1:29:36thoughtful with it but just because you use a tool to get there doesn't mean you're not a cold unfeilling person
447. 1:29:43only if you treat the machine like a cold unfeilling thought like if you're just like here's the person, write me an
448. 1:29:49obituary or, you know, write me write me some thoughts. And you literally take the print out and hand it to someone. Yeah, that's shitty.
449. 1:29:57If you didn't like the person, it's fine. But but yeah, I told it to give me 25 versions and then picked one. Perfect. Great.
450. 1:30:07That was very thoughtful. The fact that you went through 25 versions and said, "Oh, that one speaks to me." Great. Perfect. Beautiful.
451. 1:30:20Beautiful. Beautiful. Beautiful. Beautiful. Beautiful. Thought amplification is what producer Brandon just wrote. Exactly. It's your
452. 1:30:31thoughts. It's your intent. It's your experiences of that person that you you put into the machine. And then what it does is it reflects
453. 1:30:44that back at you filtered through the lens of humanity, right? So, it takes your thought and amplifies
454. 1:30:55it and then you get to shape it. You get to mold it. Um, what are the chat GPT updates? Oh, did you hear did you hear? Holy
455. 1:31:09[ __ ] [ __ ] What what chat GBPT and Nvidia announced today. Nvidia is investing a hundred billion dollars and they're committing
456. 1:31:22to a 10 gigawatt 10 gawatts of data centers which is it it represents millions of GPUs
457. 1:31:36and and and I I I guess they have the right to invest up to a hundred billion dollars. Nvidia has the right to invest
458. 1:31:43up to hundred billion dollars in chat GPT. I assume most of that hundred billion is going to be in chips in GPUs. Um
459. 1:31:59even Doc Brown only needed 1.21 gawatt 10 gawatt um hundred billion dollars. So, I don't know if you remember this, about
460. 1:32:10a year and a half ago, Sam Alman, someone had asked him about universal basic income, and he said, "The thing
461. 1:32:18I'm more intrigued by right now is universal basic compute." And what he meant by that was in the future, the thing that is going to be
462. 1:32:27the most valuable thing is having access to GPUs to be able to do whatever these machines are going to be able to do
463. 1:32:37because they're going to be doing all the work. The work is going to be done by these things. Who has access to GPUs
464. 1:32:43has power, right? And so if you have 10 gigawatts of of GPUs, you're going to have a lot of power. But what he was
465. 1:32:50talking about was give that compute back to the people that they can then use to do things for themselves which I thought
466. 1:32:59was really fascinating. So that that you know his uh his vision of that future is starting to play out right now.
467. 1:33:09Um and they still need Oh yeah, there's there's new features coming out this week. Well, no, probably not this week.
468. 1:33:16Sam Alman said some stuff is coming soon, but just so you know, the stuff that's coming soon is going to be really
469. 1:33:24GPU intensive and it's only going to be for for ChatGpt Pro users to start. Um, so it's either going to be like Sora 2
470. 1:33:33or it's probably going to be something more more about high-end compute agents, something like that. Some some sort of
471. 1:33:42new agentic something or other. Um, my guess is is that it will be a feature that if you're not at the high end of
472. 1:33:55knowledge management, probably won't be all that interesting to you anyway is my guess. There is definitely a FOMO that that has
473. 1:34:06been generated in the in the AI community like we want to try the next thing, we want to try the next thing, we want to try the next thing.
474. 1:34:14My past year has been I am, how do I say it? My enthusiasm for wanting to try the next thing has
475. 1:34:29dropped in enthusiasm over the course of the year because the things that they're rolling out are significantly above what
476. 1:34:37I use chat GPT for anyway. So, it's like I'm not using the capacity. Like, one of the things I wanted to do tonight, I
477. 1:34:45ended up torpedoing with my my stupid new series. Um, I actually like my new series. Um, but what I wanted to do tonight was
478. 1:34:56someone uh Alex Finn on Twitter um took OpenAI released a whole here's how to use chat GPT5. It's like this whole
479. 1:35:04paper, this whole post that they did and he distilled that into basically a Mad Libs kind of prompt for chat GPT5. So
480. 1:35:12maybe tomorrow we'll play with that. Um, but I want to start exploring how do you use chat GPT5 because I'm not using it
481. 1:35:20very well right now because I I don't [ __ ] need it to go off and think for 27 seconds about my shitty little answer
482. 1:35:30that I need, right? And there's no shame in that. like you're interested in what you're interested in. You don't have to be
483. 1:35:38interested in curing cancer or solving quantum physics equations. If you're not interested in them, if you
484. 1:35:46are, [ __ ] go solve them. Go cure cancer. But if you just want to make like a cool kids book, then figure out
485. 1:35:53the best tool for that, right? So, so I I think the time of us everyone having to pounce on every new thing that comes
486. 1:36:01out, I just don't think it's necessary right now. So, anyway, I don't I'm not as upset about that as some people on on AI Twitter are.
487. 1:36:12Anyway, all right people, I'm going to get on out of here. Um, couple of things you should you should be tracking and doing. you should join
488. 1:36:22the AI salon. Um, if you if you're not a part of the AI salon, go to community.thesalon.ai. Um, when you're in there, check out the
489. 1:36:35mastermind, which is a subscription area of the salon. Right now, we're in the middle of doing a 4-week prototyping
490. 1:36:42sprint. There's a bunch of other stuff going on, but this is something I'm co-hosting with Cindy Cindy [ __ ] for
491. 1:36:48mastermind members. Uh, tomorrow is week three. U it's been a really cool uh a really cool uh group so far and a really cool
492. 1:36:57cool um project. So check that out. Um go to are you readyforai.com if you haven't seen that before and check out the AI readiness training
493. 1:37:09program and Wednesdays at 4 pm mountain time is the AI readiness um uh podcast. You should check that out. And then the
494. 1:37:20final thing is uh you should check out go to sheleadsai.ai and check out the create conference which is coming up on October 11th. Um and uh
495. 1:37:34you know Ann Murphy's putting that on. The AI salon is sponsoring it. We're a major sponsor of the create conference.
496. 1:37:41So if you are a woman in AI and you want to be hanging out with people that have it going on, you should check out that
497. 1:37:48conference. And then finally final final is um happy it's Russia Shana which is uh happy new year. So to producer
498. 1:37:58Brandon to anyone else out there who celebrates happy new year and I think because of that I I don't know is is
499. 1:38:06there drinking at rush? Are you going to be off tying one on? is some sort of special whiskey. Manise. So he'll be having some metachvets.
500. 1:38:19There you go. So So happy happy happy new year. Happy Rashana to anyone that celebrates. All right. Um that's good.
501. 1:38:29Tomorrow there's nothing going on but but this so 8 o'clock tomorrow. I'll see you there. We're going to keep digging.
502. 1:38:35I'm this this spelunking thing. I like this idea of spelunking. sort of digging into tools. It might start to get a little less uh
503. 1:38:46performancy here if we're digging down and and playing with things, but come hang out. The reason to come to this
504. 1:38:53channel is not to learn things, but to be in the conversation. That's what it's about. So, just come hang out. All
505. 1:38:59right? And if I bore you, then just do other [ __ ] but be in the conversation. Be exploring AI. That's that's why we're here. All right? G.
506. 1:39:10Peace out and I will see you tomorrow.