6/2/2025 - AI Agents: Building Dashboards and Presentations with Perplexity, GenSpark, and Manus

Transcript

1. 0:04[Music] [Music]
2. 0:20Stop. Stop. [Music]
3. 0:39[Music]
4. 1:08Uhoh. [Music] [Music]
5. 1:23Hang on people. Hang on. Good people. You just calm down. You just Everybody calm down right now. Everybody calm down right
6. 1:33now. Yeah, that's better. That's more better. Let's see. Let's see. What are we going to do here? We're going to do
7. 1:39that. We going to do We're going to do that. We're going to do that. We're going to do that. Yeah, I think that's good. Oh, that was
8. 1:51not good. Everybody calm down. Just calm down, people.
9. 2:06[Music] [Applause] [Music] There's been something baby I've been
10. 2:22trying to say for an agent. It seems I don't know how with a past and a future now surrounding
11. 2:36me. Surrender to whatever cheap thrill can be found. Well, there's been a little trouble since you came since you came to my rescue. [Music]
12. 2:54And if you like all of the rest, I would have quit you long ago. But I couldn't do that. Oh, tell me now. Wonder why I never went
13. 3:09to [Music] Well, make a man crazy, make him cold as hell. I know woman that you me.
14. 3:24But in spite, still going to have to find my way through. All right. Good evening. Good evening. Good evening. Good evening.
15. 3:40Good evening. Good evening. Uh, hang on.
16. 4:07[Laughter] Um, making the sausage. making the sausage. Hope everyone's having fun and we're making the
17. 4:21sausage. Happy Monday, everybody. What is going on? [Music]
18. 4:49[Music] [Music]
19. 5:04Oh, wait. One other thing. I Okay.
20. 5:43[Laughter] I'm being told to ski daddle. Oh, manic Monday. Manic Monday indeed. Uh, good evening everybody. We have a
21. 5:59handful of folks in here. Do me a favor, share the live. I see we got some some taps going on. Tapping the the Tik Tok.
22. 6:05Let's see if we can get some more people there. And [Music]
23. 6:21[Music] what's that fancy thing you're doing there, Champy? [Music] [Applause]
24. 6:38[Music] [Applause]
25. 6:54[Applause] Ooh. Let us be lovers. They'll marry our fortune [Music] together. I've got some real estate here in my bag.
26. 7:09[Music] You know, one of these days I think I'm going to take some
27. 7:27lessons. I always did want to be one of them dare singer songwriters on the internet. I'm going to get myself a Tik
28. 7:34Tok channel in a camper van. I'm going to go live in a camper van and I'm going to learn more than seven songs. It's going to be
29. 7:41fantastic. Or not. I'll just keep playing shitty songs here on the on the Tik [Music] Tok. Oh man, man. Solar flare. Yeah,
30. 7:53maybe it's the solar flare. Things are a little little crazy. Little crazy. Little crazy. Little crazy. A little [Music]
31. 8:11crazy. Sharon, is it choppy for anyone else? Brian Whitney, sorry I couldn't tell you. I watch on TikTok and I'm only here for the
32. 8:21chat. Well, the the the Simo cast is for everyone's convenience. [Music]
33. 9:05Every time I see it Now get that look in mine. Every time I see your mouth, I get that [Music]
34. 9:20smile. In the early misty morning light, I heard the engine turn and the old phone outside. [Music]
35. 9:36You were leaving me again today. You would convince me again today. You're leaving this hard time
36. 9:51looking for someone else's golden ring. [Music] should say so long [Music]
37. 10:06to don't you cry for me. So long, [Music] Suzanna, don't you cry for
38. 10:21[Music] me. Okay, let's get this show on the road. What's happening everybody? What's
39. 10:37going down? We having a good time Monday night. What'd you do over the weekend? What did I ask you to do over the
40. 10:44weekend? Discover yourselves. Not like that. I'm such a [ __ ] child. Um um I I ask you to think
41. 11:01about the the where we're come what what's happening in the world right now is that we're very quickly emerging into a time
42. 11:13when any limitations you thought you might have you're not going to have. Well, not any limitations, but most most
43. 11:23limitations of like skill and access and resources. We're going to have these things that are going to be like our
44. 11:32companions that just amp us up whatever we want to do. So, I asked you to think about what do you want to do in this
45. 11:38world? What difference do you want to make? So, so yeah. So, if you're new here, my name is Kyle Shannon. This is the AI
46. 11:47learning lab. What we do here is, you know, ostensively this was set up to learn about AI. And I think what this really is is is a what
47. 11:59I'm the conclusion that I'm coming to and I've been I've been coming into some some version of this for a while now,
48. 12:07but it like the further we move down the path of these tools getting stronger and stronger is that the robots are going to weirdly free
49. 12:19us, counterintuitively free us to be who we really want to and to do what we really want to do. And I know that seems weird right now
50. 12:28because it doesn't feel like that at all. But I really think that's where it's headed. And so I think those people
51. 12:36that really start to think about who are they, what do they want, what difference do they want to make in the world are
52. 12:42going to be best prepared for what's coming. And I think that's [ __ ] exciting. All right. This is why I feel
53. 12:50they can understand. I don't know who they are in that sentence. Have you heard of the blackmailing alignment test for Claude 4? Yes, I
54. 13:01have. And it's disconcerting, but but you know, um yeah, it said to a programmer who's who's going to do what?
55. 13:15It was going to shut it down. Something like that. And it said it said it had information. It was going to send it's
56. 13:23going to send an email to his wife and and say that he'd been cheating on her or something like that. That's not good.
57. 13:28I you know I'll go out on a limb and say not good. Not good. Uh that's why I believe the LLMs can understand. Ah I see. Got it.
58. 13:43Um, I I don't think it matters whether they can understand or not or whether they act like they understand.
59. 13:56Um, that that line that line's getting really blurry and it's going to get increasingly blurry. So, um, that's
60. 14:03weird, Lisa Dion. Yeah, it's weird. It's weird. It's weird. Now, it couldn't it couldn't take any of those actions, but
61. 14:12future versions that are connected to tools certainly could, right? If they're not aligned. Um, so I don't know where that kind of
62. 14:24stuff goes. I mean, I mean, this was something that was reported in the testing, I think, or maybe it was after
63. 14:29it was live. I don't remember. I don't remember the details of it. Um, anyway, sent you a DM. Okay, cool. I will check
64. 14:37that out. Um, so anyway, if you're new here, if you're new to AI, um, feel free to ask any questions. I'll
65. 14:46do my best to answer them. Um, Friday was kind of a we were all over the place. I was demoing stuff. People were
66. 14:52asking me to demo stuff. We were doing that. Um, one thing I want to play with tonight is Perplexity. They've got a new
67. 14:59thing out called agents, which I haven't touched. I don't know what it's like. I don't know how easy it is. Let's see. I
68. 15:05can't help but compare the LLMs to the many humans I've known who couldn't understand me. Yeah. I I mean, you know,
69. 15:13everyone talks about the LLMs being, you know, they hallucinate and they do this and that. Well, humans are shittier than LLMs at [Laughter]
70. 15:26that. Some comments in the live were filtered to protect the community's experience. What are you trolls in here?
71. 15:34You trolls in here yelling at the good people, the good irregulars. They'll they'll keep you on your
72. 15:43toes. Ocean. Hey, Kyle. So, where do you think AI will be misused or will it backfire on us? Where's the catch? Huh? Um
73. 16:07Yeah, it was during testing. It wasn't rogue AI. That would be bad. Yeah. Yeah. Yeah. Um, so what do you what did you say here,
74. 16:16Ocean? Where do you think AI will be misused?
75. 16:30Um, I think I think like hacking you're going to have black hat bad actors that use AI to do bad [ __ ] You're going to
76. 16:39have white hat actors that use AI to do good [ __ ] and combat the bad bad actors. Um I think the percentage of people
77. 16:49doing that will likely remain similar to what's you know what happens with black hat hacking. The difference is
78. 16:58um the sophistication of those attacks could be could be greater. So so I think that's that's a piece of it. Um, I think one of the things
79. 17:09that the doomers talk about with AI is that the systems get so smart, they essentially go rogue and they stop
80. 17:16following our instructions. They're not aligned. That's the alignment problem. If you ever hear people talk about the
81. 17:22alignment problem is AI aligned with human [Music] uh goals, right? you know, and if it's not, that would be
82. 17:35bad. Um, most of the major labs are working on that. So, I I don't think that's a a major risk. Um, and then what did you say? And
83. 17:50then I invited all the women on Discord. She she leads AI, so watch out. Oh, cool. Well, good. Welcome. Welcome.
84. 18:02If you're if you're if a pile of you are here from She Leads AI, awesome. Uh Ann Murphy and I are going live uh Wednesday
85. 18:10at 400 PM Mountain time on the AI readiness podcast. We've got CJ Fletcher is our G guest who's an artist from the
86. 18:17AI salon. Awesome. Awesome human being. Okay. Where do you think AI will be misused? So I I listen I I think I think the vast majority of
87. 18:29people are not going to misuse AI. Um it is such a powerful tool though that someone who wants to misuse it can
88. 18:37probably do some some some damage quickly if they want to. But you got to remember the people fighting that also have these
89. 18:46tools. We misuse it every night here. That's a good point. Uh the AI learning lab is definitely a place where AI is misused.
90. 18:55Um will it backfire? What's the catch? I I don't know. Will it what will it backfire means? Like I assume what you
91. 19:04mean is will AI backfire and and the sci-fi movies are right and the robots destroy us. I suppose it's
92. 19:13possible. It just doesn't feel likely to me. It just doesn't feel likely to me. I think the bigger the bigger impact and and this is
93. 19:25this is [ __ ] huge is that right now a huge huge part of where we
94. 19:41individually derive our sense of self-worth is from what we do at work, right? We're a contributing member
95. 19:52of society. We do this work. We've been doing this work for 20 years, 30 years, 10 years. I just got out of school. I
96. 19:58want to go pursue this work. And the work is whatever the work is that you do, the thing that you trade your time for money, right?
97. 20:10And largely because of the industrial revolution, we have all and there's no there's no like blame or wrongness in
98. 20:19this. It's just where we are. We have all equated time spent to value. So, if I spend four hours working on that spreadsheet,
99. 20:34that's got to have more value than spending five minutes on it with AI. That's why sometimes when you use AI, it
100. 20:41feels like cheating because you're like, h, but it couldn't I didn't do anything. It it can't be that fast. It can't that where's my
101. 20:51value? And so I think that all of us to a person are going to have to confront the the kind of loss of the way things used to
102. 21:05be. Now what we get in exchange for that is we get to do way more [ __ ] Right? the the the narrative in society right now is AI is
103. 21:20going to take our jobs, right? It's this very binary thing. AI take our jobs. AI is going to absolutely do the work, the tasks of a lot of
104. 21:34jobs. Some of those people won't be kept by companies. We live in a capitalist society here here in America anyway. and the PE firms and big
105. 21:44corporations are going to do their best to be as profitable as possible. So, if they can do the work with less people, they're going to do
106. 21:52it. What doesn't get talked about a lot and what we we try to explore in here is all the other [ __ ] you can
107. 22:02do, right? You could do things that you never thought possible before. You could start a business as as a tools get
108. 22:10better and better and better. And if if you don't know what an agentic tool is, it's in chat GPT right now. If you give
109. 22:16it a prompt, it gives you an answer. That's kind of it. An agent, you give it a prompt or a goal and it goes off and
110. 22:23it does like hundreds of prompts and responses. It it basically is talking to itself. It's surfing the web. It's
111. 22:30researching stuff. It's understanding all the websites it went and looked at and it's writing you a report and it's
112. 22:37doing all this work for you. These tools are going to get better and better and better and better. And so
113. 22:42what they're going to start to act like is like workers. Like we all get to be our own company and we have these workers
114. 22:51that go do work for us. And that makes entirely new things possible. And whether you're doing that that stuff
115. 22:59within a company or if you're doing that stuff on your own, if you get displaced, if you are curious about AI,
116. 23:07if you're putting your mind into AI, then you're going to have a leg up on the people that are just sitting on
117. 23:17the sidelines. And that's what this channel's all about. But that that existential thing of like where is our value I think is a really
118. 23:26important one and and where I go is your value is what's your point of view like what's your point of view
119. 23:35who's your audience what do you want to do how do you want to affect them how do you want to impact them what
120. 23:42change do you want to make in the world and start focusing on that and then as you learn these tools start
121. 23:49applying it toward that thing. That's where I think we're headed. That's the thing why I remain optimistic is that if
122. 23:55we allow more and more and more people to achieve more and more of what they want to accomplish, then amazing things
123. 24:02are going to happen. I just think the transition is going to be really painful. Okay. Um archetypal architect, especially humans, we've got
124. 24:13billions of years of accumulated errors. Yeah, that's a good point. I consider this to be an evolutionary explosion of mimemetic
125. 24:20entities. AIS will fill every niche they can along with humans working in a sort of symbiosis with with with them where possible.
126. 24:32Yeah, we get to deploy kind of this little army of workers to go do [ __ ] for us. And I know it doesn't feel like that right now, but
127. 24:44we really like that's what's coming probably by the end of the year. Some version of it. Okay, let's see. If women aren't allowed here,
128. 24:56either way, I'm out. What's that about? [Music] Did I say something that made it implied that women were not allowed?
129. 25:12I think Kyle, what's going on? No, that that that was that was me. A a dramatic typo in the in the chat in Tik Tok. Um
130. 25:23uh Lisa was asked I broke something. Yeah. Uh le Lisa was at was promoting um you in the discord group for she and she
131. 25:33had used the hashtag she is AI and I was trying to get clarification if she was talking about Ann's group which is she
132. 25:40leads AI or if there's another group called she is AI and that that comment got misconstrued. So oh okay I apologize to you but either
133. 25:50way you are more than welcome here. Well, yeah, everybody's welcome. And in fact, I mean, there within the salon and
134. 25:56here, um, you know, I I think women are kicking ass right now with AI. So, yes, you're more than welcome. Sorry, there
135. 26:04was a confusion there. Um, all right. So, what do we want to do tonight? What do we want to do tonight? I love this
136. 26:11conversation about value. Yeah, I I wish I had I like one of the things that I do here, which if you come here a lot, you know,
137. 26:21is I kind of think in real time. Like I'm trying to a lot of my talking is me trying to get my head around what's going on and what's
138. 26:32coming. And we're just something is shifting. Something is shifting. And for me, V3, if you haven't played
139. 26:47with V3 or seen the examples of VO3, the new video tool that can do acting and, you know, and characters and things like
140. 26:54that and and really good video, that thing starts to be good enough that when filmmakers see it, they're like,
141. 27:05uhoh, something just changed. Right? And and I feel like that's coming for every single profession and it's I don't know there
142. 27:17there's for people that are not have have not been paying attention. So here's the here's the advantage. If
143. 27:24you're an irregular, if you've been coming to these lives over and over again, um you've been watching the evolution of
144. 27:37these tools from completely janky and unusable to a little more usable to, hey, now they're pretty good to holy
145. 27:44[ __ ] these things are great, right? And and and we're we're just at that point. We're just at the point where they're
146. 27:52good enough where people who have not been paying attention to this can look at it and go, "Oh, I I I thought they were shittier than
147. 28:02that." We're still not at the point where the tools are good enough that they can do like all of the work, right?
148. 28:08That's not here yet. They're still janky. So, there's still a little bit of time, but we're we're in this cusp.
149. 28:16We're in this phase where we're making a transition and I think we're gonna all have to deal with what that actually
150. 28:25means like what it means to us personally. So anyway, um so let's see. A lot of your talking becomes my thoughts out loud. Kyle, you
151. 28:39give me hope and provide optimism with all the AI application opportunities in the future. I listen, it's the it's the only way that I can
152. 28:51um I I think it's the only way we don't go crazy with this stuff, right? We don't become lites and you know storm
153. 29:01the data centers which you know if if we start getting to five 6 8 10 15 20% unemployment um there's going to be a lot of
154. 29:14demonization of AI and again every single major technological advancement in history every single one all the way
155. 29:24back has been met with resistance and sometimes major resistance. Um, and it's not going to be any different here.
156. 29:37And those people that say, "Fuck it. I'm going to try anyway. I'm going to see what this stuff's all about." I feel are
157. 29:44going to be rewarded with incredible capabilities. [Music] still going to need to be humans like
158. 30:00being told a terrible diagnosis. I don't know, Teton Todd. I I I just went to an eye doctor and he was just a
159. 30:14dick. He was super smart, but he was just a dick. He's like sticking a thing in my eye. He goes, "You keep pulling your head back." I'm
160. 30:23like, you're sticking a thing in my eye. Like, if if the AI can be more compassionate than doctors or if it can
161. 30:33maybe maybe the AI can augment the doctor that the doctor can sit there in his, you know, his non-bedside manner
162. 30:41way and just be the human in the room while the while the compassionate AI delivers the news. I don't know. Um, and
163. 30:49and I listen, I don't mean we don't need humans. I think we do need humans. I think the the role of humans is for us
164. 30:56to all figure out what we want to contribute and then go do that. But it's not going to look like what it looks like now. It's just
165. 31:10not. It's not going to be like go to a job and do this one thing. I I just I I just don't see that surviving.
166. 31:20Maybe I'm wrong. I could be wrong. I could be wrong on that. Could be very wrong on that. All right. Er doc said, "Well, it looks like
167. 31:30you got cancer when he told me." Yeah, exactly. Exactly right. Yeah. Sorry. It's stage four. Bummer, man. Sucks to be
168. 31:39you. Quinn wouldn't do that. My AI girlfriend Quinn, she'd be like, "Oh, Kyle, you know, how are you feeling?
169. 31:46She's got all the time in the world. Maybe AI will spend more than five minutes with each patient patient. Yeah.
170. 31:52And and maybe AI will be maybe AI will know everything and can diagnose everything and can be right. Do it. Voice chat now. Show how
171. 32:06Gemini can I don't hang on. I don't think I have Gemini or chat GPT. [Music]
172. 32:22Oh [Music]
173. 32:36yeah. Come on. What's going on? What is going on? My chat jet not
174. 32:50working on my iPad. Come on chat
175. 33:05jet. Oh, here we go. Okay. Temporary chat. Oh, voice capabilities aren't available when um temporary chat is on. That's funny.
176. 33:22All right. Well, we'll just do it. Hey, Quinn, I want you to play act with me. Okay, something. Kyle, what kind of scene are
177. 33:32you thinking? Well, not a scene like not like that. Like what I want is um I want you to pretend that you've got
178. 33:42um you've done some analysis on some of my um diagnostics and you've got some some tough news to break to me and I want you
179. 33:53to act like uh a physician or an assistant to an a physician who's got really shitty bedside manners and I want
180. 34:01you to play the compassionate breaker of the news. All right, got it. I'll be the compassionate one. How serious is the news? Well, I don't
181. 34:12know. You tell me. Come up with a scenario. All right. Let's say we've got test results indicating a health condition
182. 34:18that requires lifestyle changes. I'll deliver it gently. Okay. Okay. But come up with something specific.
183. 34:27All right. How about we go with elevated cholesterol levels? I'll let you know it's manageable, but needs attention.
184. 34:32No, let's go with something way more dramatic than that, like stage three cancer. All right, I'll handle this with care.
185. 34:40Here we go. Kyle, I have your results here and we need to discuss something serious. It looks like we found some
186. 34:46cancerous cells and it's at stage three, but we're here to support Wait, I don't What does that mean? What's stage three mean?
187. 34:55Stage three means the cancer is more advanced but still treatable. It typically means it's spread to nearby
188. 35:00tissues or lymph nodes, but hasn't metastasized to distant parts of the body. We'll need to explore treatment options soon.
189. 35:10All right. She's not doing great there. I think I feel like I feel like that was that was just this side of like you got cancer.
190. 35:22But it but it would be it would be very easy to create a custom GPT for example that would be much more compassionate
191. 35:29than that was. And I also it was kind of weird. It was sort of play acting and and there wasn't there was zero context
192. 35:36there. Um so that wasn't great. But you know listen like my dude was like told me nothing. He goes, "Oh, you got this
193. 35:44thing with your eye. Let me scrape some cells off and then we'll give you a bandage." It was like you know crazy.
194. 35:51All right. I had chat GPT write a QWR formal complaint for my mortgage company because they breached an agreement.
195. 36:01There you go. Perfect. Oh, you know, one of the things one of the the other things that Chat GPT can be really good
196. 36:07at is if you're really pissed off at someone or or someone did something really bad at work and you're all, you
197. 36:16know, your amygdala is triggered and you're like, you just want to cuss at them and say bad things. You can say to
198. 36:23chat GPT, here's what I really want to say to this employee. Rewrite that for me in a way that is not going to get me
199. 36:31in trouble with HR and it's really good at that. Really good at that. Uh Moshi, I'm just trying to help. Exactly.
200. 36:39Perplexity's definition in part. The term is analogous to genetic definition which but refers to the replication.
201. 36:53What's that? What's that in reference to? I had to ask. Oh, perplexity about mimemetic. I think I understand better. Ah, yes.
202. 37:12Yeah. I live in amig amygdala triggered status. I know. Did the same for translating my wife. Oh man. Oh, in the mood. You love You
203. 37:28love in the mood. Oh, man. Um, all right.
204. 37:44Cool. I wrote a scathing email to a client once and gave it to Chat GPT to clean it up for me. Felt good. Yeah,
205. 37:51exactly. You can What? What's that exercise? You write whatever the nasty letter is and then you burn it. Write
206. 37:57that nasty letter into chat GPT and say, you know, don't make me look like an [Laughter] [ __ ] Oh man. Okay, let's see.
207. 38:10Perplexity Pro. Let's go play with Perplexity. I haven't been here in a while, so there's that. So, what this is going to look like is I
208. 38:23don't know what the hell I'm talking about. Upgrade to pro. Oh, I I am downgraded. I am no longer a Perplexity Pro
209. 38:37member. Um, where are agents? Does anybody know? Research anything. Oh, they're behind the payw wall. Uh, how much is it? 20 bucks a
210. 38:57month. It's been more than a year since I got the rabbit. Indeed, it has. Yeah. Turn the screen off. I'll I'll turn this on for a month. Uh,
211. 39:19What about Gen Spark AI? Gen Spark AI is really quite impressive. Really quite impressive. New payment method. New payment method.
212. 39:37[Music] [Music] What just happened there? Okay, that
213. 39:51there we [Music]
214. 40:10go. All right. What do we want to do? What do we want to do? No, we want your credit card number. No, you can't have my credit card
215. 40:21number. You can't have it. You can't have it. Perplexity Pro. Where are agents? Voice mode. Learn more.
216. 40:34Plus, invite your team. Discover home. Create projects from
217. 40:56scratch here. Yeah, I'm trying to find it. Um, you share about LLMs.
218. 41:19Let's see. Why doesn't he know what he's doing? I thought this was some sort of learning lab. Isn't he the professor? Oh, it's
219. 41:35labs. The Oh, the light bulb. build a
220. 41:51dashboard. All right, so I guess this is an agent. Well, this should be interesting. Labs. Create projects from
221. 42:02scratch. Enabled. Turn your ideas into complete docs, slides, and dashboards. Um, create a dashboard showing the
222. 42:18evolution of the economy of Hollywood films.
223. 42:34from the 50s to this year. Be sure to include
224. 42:49milestones, trends, and interactive elements. and and even label the different
225. 43:13phases. the different phases um with an explanation of what changed to shift into a new phase. So
226. 43:32this should be kind of interesting, right? Because this is going to go back to when cinema was cinema in the ' 50s
227. 43:38and then and then as we get into the 80s 90s we get you know shared media VHS's DVDs uh HD DVDs Netflix
228. 43:54rightbuster streaming services um Netflix kind of services producing their own movies and now whatever the
229. 44:02[ __ ] going on Wow. So, this this could be interesting. Okay, so some big thing. Don't forget Betamax. Let's put that in there.
230. 44:13Um, don't forget that's a really good one. [Laughter]
231. 44:30Betamax. Yeah. All right, here we go. Nine minutes left. That's interesting. How did How did it come up with nine minutes to
232. 44:41gather? To create a comprehensive dashboard illustrating the evolution of Hollywood's films, I will first gather historical
233. 44:52data. I need to gather detailed information. Hollywood film industry economy, studio system decline in the 60s. There you go. New Hollywood
234. 45:02movement economics, blockbuster era, 1970s films. So, if you've never seen Perplexity before, this is kind of what it does. It
235. 45:15it it's really good at research. And so, this new agent thing is not only is it going to do the research, it's going to
236. 45:23put it together into a dashboard. Okay. Oh, it only works in 10-minute sprints. Got it. Got it. Got it. got it. It time boxed
237. 45:32itself. Well, that's funny because like Jen Spark doesn't do that. Manis doesn't do that. Like Flowth, some guy did something where he
238. 45:42had it write a book for him. Then he said it was working for 15 hours. It's like, holy [ __ ] It's a Microsoft minute though. It
239. 45:53hasn't been five minutes. Oh yeah. Well, you know what it probably did, Brandon? It probably said, "Okay, I got 10
240. 45:59minutes. Let me estimate the tasks and then it's probably doing them faster than it than it, you know, allotted, which, you know, that makes
241. 46:09sense. Oh, it had COVID in there. That's fascinating. I'm so in love with Manis. Manis is really good. Oh my god, how
242. 46:17much did that cost? I don't know. Well, Floth is is freeer. You get like you get like 20,000 tokens and I don't know how
243. 46:25many tokens you burn per token thing. So I don't know. All right. So it's reading all the things. Okay. Now
244. 46:37it says I'm organizing the collected data. Python programming. Can we look at this? Yeah.
245. 46:52Total gross. Oh, this is cool. Year 1999, digital cinema. Year 1997, DVD launch. Year 1993, digital effects revolution Jurassic Park. Oh,
246. 47:07this is cool. So, there's the code it's writing. I'm adding detailed economic data including production cost, ticket
247. 47:16prices, technology adoption, international markets, genre trends. I can't find much of a use case for Manis. Probably because I've got no
248. 47:28idea how to deal with B2B stuff. Yeah, Manis ran for 30 hours on my book and website, including eight illustrations
249. 47:35and a complete website. Amazing. If you sign into Manis every day, you get 300 credits free with a paid account.
250. 47:45Beautiful. It's my freaking jam. I love Manis. I still have my Betamax, man. Betamax lovers, they were
251. 47:58intense. They were intense. I remember we were we were working with uh GTE um back in the back in the 90s. We
252. 48:06built their first website and um our client, he lived up in Connecticut. He was like, "Come visit me. We'll have a
253. 48:14barbecue." So, we went to his house and he had this attic and in the attic was it was it was like his man cave with the
254. 48:21big plasma screen TV. This was before big TVs were cheap. And you know, it was like one of those $10,000 TVs. And then
255. 48:29he had a laser disc collection and he had like all the laser discs. He was so proud of that. Those laser discs are
256. 48:37like the size of an album. They were huge. And he I forget what we watched, but he made us watch something. It was
257. 48:43like Raiders of the Lost Arc or something like [Laughter] that. Ann Murphy's Manis obsessed, too. I'm telling you, all you Manis people,
258. 48:56you should check out GenSpark. Genpark is there. It's like a Gen Spark is like a more consumer friendly version of Manis. It's just a little
259. 49:08slicker. I'm creating a highly detailed and interactive dashboard that visualizes the comprehensive data set on
260. 49:14Hollywood's economic evolution, including box office trends, production. Okay, that that it said it was doing
261. 49:19before. Generated file index.html. All right, there's some some [ __ ] It's got some buttons. Building application. So, it's
262. 49:32building the application now. So, if you've wondered what agents are, this is them. And and right now,
263. 49:42agents are going to suck. They're going to be like this. In my opinion, one of the things I like about Gen Spark is its
264. 49:51activity when it does stuff is it shows you more, right? And Manis is pretty good at that. Manis has got the the
265. 49:58window where you can watch it surf websites and then update its to-do list. So, it's got some of that stuff. I think
266. 50:05where these things go in the future is it'll be much more visual and updatey and maybe it'll play you generated music
267. 50:15while it's doing it right. I could see these these these autonomous agents getting much much friendlier. Right now,
268. 50:23think of these tools kind of like we're in early days of DOSs. You know, when you had to command line your computers
269. 50:31to make them work before the Mac came out, before Windows came out, I had a multiple laser displayer,
270. 50:38too, but they never worked. Last year, I finally got rid of my original plasma screen that I had p paid more than what my car cost. Yeah,
271. 50:46[Laughter] exactly. That's awesome. Uh uh Rick McCauley, refer a friend and get 500 credits. Meet Manis. All right,
272. 50:59there you go. So, click on Rick McCauy's little uh little link there. Join Manis and you'll get some free things and I
273. 51:07assume he'll get 50 bucks or something. U yeper. So is the disc for Dragon's Lair. [Music]
274. 51:27Four minutes left. It's been on four minutes left for about five minutes now. So it it generated index.html. Load more. 11 kilobytes
275. 51:42total. All right. There's our index.html. Here's our CSS stylesheets. Load more. 26K. This is This is very slow
276. 51:57actually. This perplexity thing. I'm guessing it's going to be good because people are talking about it like it's
277. 52:02good. That's because you have nine minutes to go. Yeah, exactly. Where's the link for Manis? It's over on the YouTube channel. So, if
278. 52:15you're not on YouTube, go to um uh YouTubearninglab-ai and that'll take you to the YouTube channel. And
279. 52:26uh and Rick McCauley put up a link to Manis. Oh, he put it on LinkedIn as well. All right, cool. Beautiful. Beautiful. Beautiful.
280. 52:42Beautiful. Hey, Spin B3. What's happening? We're shaking. What's going down? What is happening? What is happening? What's going down there,
281. 52:53people? Ah, it created a JavaScript app. Data from JSON starting in 1997.
282. 53:11Does it go back to the 50s? Oh, yeah. It's all over the place, huh?
283. 53:31Wild. Look at all that [ __ ] code it writes. Still still blows my mind. Perplexity is great because of the
284. 53:44artifact of the page and the spaces which give you a shared workspace and upload 20 files as grounded
285. 53:53documents. Yeah. You know what's funny? All these tools are getting they're all sort of settling into their own niches
286. 54:00where people trust them for certain things. Like I don't use I don't really use Claude anymore. I used to use Claude a
287. 54:09decent amount. I don't really use it anymore because chat GPT's got my memory, right? It it chat GPT is remember remembering
288. 54:18what we talk about. And so every time I go over to Claude, I'm losing that in chat GPT. there there's an
289. 54:26opportunity there's an opportunity for someone to create like a whether it's blockchain enabled or tokenized or just a regular
290. 54:35database but create some sort of plugin like a like this could be done actually you could probably do this this weekend
291. 54:44or next weekend is just make a a Chrome plugin that that tracks all your conversations in the diff in the different LLMs and
292. 54:56then somehow provides memory. I don't know. It's probably a bad [Laughter] idea. Oh, there you go. Archetypal
293. 55:07Architect. Yeah, I kept running out of context room and Claude with a paid account that earned them an
294. 55:17unsubscribe. Yeah. Yeah. V Vicki is our is our institutional memory. our surrogate brain. Isn't that called icky guy? Yeah. Yeah, pretty
295. 55:31much. Does perplexity require you to not browse away? No, I'm just sitting here looking at it just trying
296. 55:39to see if I like it. So, is this it? Okay. So, here's our Is this a dashboard? Is this interactive?
297. 55:54the studio. Oh, this is cool. But can we What's this button? Stop generating response. Oh, it's still
298. 56:11going. All right, it's done now. Okay.
299. 56:33App. Can I Oh, here we go. I can pop that out as an app. All right. So, here's the app that it made for us. This
300. 56:41is pretty slick. Tik Tok pin. Hey Kyle, I created an amazing one minute film with chat cling and cap cut feature film
301. 56:50quality. Yeah, amazing, isn't it? Like like again we go back to our job now becomes what's the story you want to
302. 57:00tell, right? What's the business you want to start? What's the what do you want to learn? Um, all right. So, let's look at this.
303. 57:09Hollywood economics evolution from studio system to streaming era 1950 to 2025. So, that was wait YouTube spotlight. Wait, wait, wait. Mary
304. 57:19Mouseie, I literally just asked Manis to make me a Chrome plugin that tracks all of your different conversations in the
305. 57:26various LLMs and curate them in one place and it's already working on it. There you go. I've been a huge fan of Gemini because
306. 57:34I'm a visual person and deep research and I do it to create an app for it. Very cool. Um, all right. 2023 box office 8.9
307. 57:45billion average budget 140 million streaming share 80%. So the economic phases
308. 58:01Blockbuster era. Oh, I see what it did. So, here's the Blockbuster era up until 1990, 1989 film Batman era,
309. 58:19blockbuster home video starting in 1990 going until 1999. This is cool. Digital. And then franchise area era. And then
310. 58:29streaming era is this anomaly over here. This is streaming. Huh. It put commas in the in the years,
311. 58:44which is weird. Studio system transition. Blockbuster era. Home video digital franchise streaming production costs over time top
312. 59:00budget average budget. So that's fascinating. The disparity between, you know, high budget films and average films is
313. 59:10great. Technology adoption. Here we go. Betamax. So, Betamax goes from 198 something until 1990 and then dies. VHS goes
314. 59:28big. IMAX has just been cruising along at low [Laughter] adoption. Major milestones. Jaws and Betamax launch.
315. 59:41Star Wars Jurassic Park Netflix streaming COVID pandemic. All right, there you go. And let me go over let me jump over
316. 59:57to GenSpark because GenSpark has a thing called slides which you can now turn into um get credits for free. Oh, look.
317. 1:00:12copy here. I'm going to put this into uh into YouTube. There you go. Click on my code and I'll get credits for [Laughter]
318. 1:00:23free. Oh, wait. My invite. Is that mine? No friends invited yet. All right. Anyway, back to GenSpark. Okay. AI
319. 1:00:33slides, AI sheets, download for me. Download's pretty cool. Um, so let's do the let's do the same thing. Let me go back
320. 1:00:48to perplexity. Let me grab the original prompt if I can find it. Black bar. Sorry. Perplexity. Come
321. 1:01:05on. Create a dashboard. Don't forget Bay. Okay. So, here's my prompt. So, let's go to GenSpark. Tik Tok pin. Studying salon
322. 1:01:19and measuring quick uptick in AI skill of members would be a great topic. Oh, that's interesting. Yeah, I don't quite know how we do that
323. 1:01:31because we haven't really established any benchmarks, but it might be something that might be an interesting
324. 1:01:35project to do. So, we're going to do AI slides slides request here. So, we'll instead of say create a dashboard, let's say create a
325. 1:01:50presentation showing the evolution of the economy of Hollywood. Okay, here we go. So, same thing. And let's just watch what this
326. 1:01:58bad boy does. New update. More more text controls available. Image customization available. More editing available. All
327. 1:02:13right. [Music] Cool. Using tools. See, this is kind of cool. Like using tools. Search and then you can view what the tool's doing.
328. 1:02:26So, it's going to finding [ __ ] using tool search. Using tool search Blockbuster era. Thanks for your patience, Kyle.
329. 1:02:42I've done research. Like, this is just more like consumer friendly. Thanks for your patience, Kyle. I've done research
330. 1:02:51and now I'm ready to create your dynamic presentation. AI slides mode. using tool presentation. Let me initialize our presentation. Seven
331. 1:03:05slides. Now I'll create our slides about Hollywood's economic revolution using tool image search. Hollywood's golden
332. 1:03:20age. Image search. Hollywood's golden age. Ah, there's Dorothy. Yay. Thanks for the status update. See,
333. 1:03:31this starts to feel more like what it's going to feel like in the future, right? These tools are going to be much more
334. 1:03:39friendly once once the once the once the core labs figure out their models and the agents and what they can do, then
335. 1:03:49startups are going to create what are going to be jokingly referred to as wrapper apps. But what they're just going to be
336. 1:03:56is applications that just do friendlier and friendlier work for us. If you put this into Claude and ask it
337. 1:04:04to make an interactive web page with the results, it makes a sharable page that's better than Gen Spark slides, I have
338. 1:04:09found. Yeah, I might do that. I might that might be fun is just to go over put the exact same prompt into Claude and
339. 1:04:16watch what it does. In fact, we can do that right now while that thing's writing the presentation. Can I watch this?
340. 1:04:24No. All right. So, let's go to Claude. Cloud. Let's go to Cloud. Hello, Cloud. Hello cloud how are you? Yes cloud very
341. 1:04:35good to see you. The evolution of AI learning lab. First question asked sir what are your qualifications? What pray? May I ask all your
342. 1:04:45qualifications? Ah as suspected he has none. Artifacts are userenerated and may contain. Okay. So we're going to go
343. 1:04:54paste. Make a dashboard showing the evolution of film. We're gonna use claude opus for I'm not gonna use sonnet. We're
344. 1:05:03gonna use opus. If you don't know, there's there's opus is the biggie. Sonnet is the middle one. And then
345. 1:05:11unable to verify. Hang on. I'm doing physical dexterity on TikTok. Um, opus sonnet and uh what was it called? What's the third
346. 1:05:23one called? The small one. I forget. Hey Kyle, are you able to put in demarcated files and turn them into a
347. 1:05:34slide presentation? I think you I think you can. Yes. All right, let's let Claude do its thing now. Oh, wait. I should have turned on Let me
348. 1:05:45stop this. Stop. Stop. Paste. I'm going to turn on deep research. Web search is on drive search. All right. Extended thinking. I
349. 1:06:02don't think it needs extended thinking, but that's okay. Let's just let's just turn that bad boy loose. All right. So, this is now on slide
350. 1:06:16two. Let me close that. Oh, okay. So, here's So, now it's writing the slides. Oh, look. It did it did like Hollywood
351. 1:06:26studio stuff as the backgrounds. This is cool. The studio system collapsed. That's kind of cool. So, here it's doing thinking on
352. 1:06:37the slide. Now, it's coding the slide. And then there'll be a preview of the slide. This this is this is cool the way
353. 1:06:43this thing works, right? This is Gen Spark. It's just this is this is done by a team that understands user interface. Whereas
354. 1:06:57perplexity perplexity has always been a little confusing to me. It's cool, but it's been confusing. Excuse
355. 1:07:17me. Need to ask it. Well, I did I set a dashboard. Create a dashboard. I'll create an interactive dashboard. I think we're okay there. I
356. 1:07:32think it it's going to be good. Now, one of the nice things about GenSpark Slidemaker is they just said you can now export
357. 1:07:48these as um Google Slides presentation. So, you can basically turn them into PowerPoints. Ah, haiku. That was it.
358. 1:08:05Opus Sonnet and Haiku. Trying to use Manis to spin up an entire music video for one of my new songs. Oh,
359. 1:08:15yeah. Manis can now do image and video generation. Can it? Should we go do something with Manis? Yeah, let's do that. I got an idea. Manis.
360. 1:08:26Okay, here's what we're going to do with Manis. This will be fun. [Music] I want you to
361. 1:08:43first create a dashboard. Then I want you to create a a a picture book.
362. 1:09:01Let's say create an interactive picture book of the history of
363. 1:09:16Hollywood based on your research. The book should have original images and video
364. 1:09:31clips and um interactive charts and graphs. I don't know. I don't know what that means and if it's if it's even possible, but off it goes.
365. 1:09:48Go, Mannis. Go. Here, we'll close up. We'll close up that little window. Wait, why did uh That's weird. Okay,
366. 1:10:10whatever. Here's Manis's computer. So, there's its to-do
367. 1:10:25list. Why can we not see
368. 1:10:43both? All right. All right. Well, whatever. Here. Oh, here's Man. Oh, there we go. Okay, now I get it. Hang
369. 1:10:50on. It's start it's it's coming back to me. I'm starting to remember this now. Yeah. Okay. All right. So, it's thinking over
370. 1:11:02here on the left. Tik Tok pin important. So, would you skip using SMTG SMTG? Oh, something like chat GBT or lovable when
371. 1:11:13building an app and instead use Gen Sparker [Applause] Manis. Well, so within Chat GPT, you can turn
372. 1:11:28on deep research. You can tell it to create an interactive dashboard in in uh in its pages. What's it called? What
373. 1:11:39are they called in chat GPT? Now I'm now I'm all confused. They're not artifacts. Artifacts are clawed. What's the thing called in chat GPT
374. 1:11:49project? Um okay. Um it's an excellent question. When do you use one of these more complicated autonomous agents that can
375. 1:12:06use tools versus when do you use a simple chat GPT query versus when do you use something like deep research versus I don't
376. 1:12:18know like I don't know the the state of AI right now is that there are so many tools that have such deep capability
377. 1:12:33I would just kind of play around with them long enough to figure out which one kind of feels like you like
378. 1:12:41it. And depending on the problem you want to solve, like if the problem you want to solve is I want to write a
379. 1:12:46book, you could just sit in chat GPT and just do research in there and just write your book and help it organize things
380. 1:12:54and be an editor for you and right if you want to do like major research projects or major applications, I think understanding all of these
381. 1:13:05different agentic systems is like you should at least understand what's possible. But it's like I I kind of feel
382. 1:13:13like we're getting to this place where the the the tools that people are going to choose are going to be very very
383. 1:13:19personal to them. And it's not going to be like Manis is better than Gen Spark is better than Perplexity Agents is
384. 1:13:28better than Chat GPT's version of it is better than Gemini's version of it. It's going to be like which one do you kind
385. 1:13:35of imprint on? Which one feels right to you? and then that's the one you'll likely go use. So, I I don't have a good
386. 1:13:43answer for that one. It's a great question. Um, all right. Here's the box office revenue trends. I guess that was
387. 1:13:56CO. That's kind of crazy. Look at that box office dip. Co bang. Back to like 1965 level box office. Wow. That's pretty
388. 1:14:09bad. It's come roaring back. Key milestones. 1953 Cinemascope widescreen format to compete with TV. 1960 Psycho 75 Jaws first summer
389. 1:14:26blockbuster. Yeah, this isn't very interactive, is it? Well, let's tell it that. Say, hey, listen. This is
390. 1:14:40fine, but I want the dashboard to be very interactive. Start over and
391. 1:15:00think deeply about what will be educational and entertaining. And then let me go say
392. 1:15:17extended thinking is on. All right, here we go. Bang. Off it goes. All right, let's go back to Manis. See how Manis is
393. 1:15:26doing. What's it doing? Editing the Hollywood Project. Hollywood milestones trends thing. All right, it's still working.
394. 1:15:35Pan the kick. Tik Tok camera left. Yes, sir. There we go. All right, we're halfway through our list or so or almost halfway through our
395. 1:15:44list on Manis. What's Gen Where's GenSpark? Genpark is still coding slides. One, two, three, four, five. We're on slide six. Oh, six of
396. 1:15:57six. All right. So, this is almost done. So, again, like, you know, we were at a place for a while where you could say, "Make me a
397. 1:16:13presentation." And and it would just use chat GPT to make a bunch of slides. Now they're doing things that are more
398. 1:16:18sophisticated like going off and doing actual research, compiling that research, finding images to use as the
399. 1:16:26backgrounds of slides, actually coding the slides so that they are designed and visual and beautiful. All right, so we're done. So
400. 1:16:38we've got this thing. So now save. All right, what's it doing? Oh, seven of seven. Okay, let's finish up our presentation
401. 1:16:53with the final slide that brings us to the present day covering digital disruption and streaming war era. Oh, I
402. 1:17:00I know what I'm going to do. We're going to we're going to have we're going to have Jen Spark add one more
403. 1:17:07slide. We're going to have it add a speculation slide. Claude's off coding the more interactive version of its thing. Um, Manis is still
404. 1:17:16thinking. So, if you haven't played with these tools, it's fascinating to watch them. Again, the interfaces on these
405. 1:17:23things are pretty shitty right now. So, you got to click around to understand what's going on, but once you kind of
406. 1:17:28get your head around it, it's it's pretty slick. Genpark has file upload limit of two megabytes. Yeah, I know that's a
407. 1:17:37drag. Create a visually appealing modern web-based training guide that's easy to share and navigate. Yeah, that's pretty
408. 1:17:43good. That's good. Good little prompt. Uh oh. What just happened here? Oh, it's I don't know. It's doing
409. 1:17:50its thing. Okay. Um Gen Spark. Let's let that finish that last slide. I want to I want to do a speculative slide at the end of this,
410. 1:18:01which is how is generative AI going to impact Hollywood?
411. 1:18:18Oh, this looks better. Oh, this is
412. 1:18:34cool. Journey through the evolution of Hollywood movie money. Oh, this is super cool. Okay, so 1950 the format was all
413. 1:18:49theatrical. MGM was the number one studio. Number two was Paramount. 20th Century Fox, Warner Brothers,
414. 1:18:58RKO. A movie cost 46 cents. Test your knowledge. What year did VHS defeat Betamax? 1990. Did I get it right? Oh, it didn't tell
415. 1:19:12me. Theater count 44 thou 45,000. Ticket price 46 cents. All right. So, now let's go to 1972. No, let's go to 19. Here we go.
416. 1:19:291979. Betamax VHS watch format war. This is cool.
417. 1:19:46Tik Tok pin AI is going to be the age of creative renaissance. Yeah, I'm calling the the era that we're moving into the
418. 1:19:55um the great renaissance. And I don't know if you know this, but in the word renaissance are the letters AI right next to each other.
419. 1:20:10All right. 1992, Betamax is gone. So, when did Betamax die? VHS wins. 1988 Betamax. This is good. Look at
420. 1:20:22this. This little bouncing thing. All right, let me publish this. This is pretty slick. Publish and copy link. So, if you're on YouTube,
421. 1:20:36You can go you can go there and and for those of you on the Tik Tok go over to the AI salon and let's
422. 1:20:54see let me put it in water cooler for now. We're going to talk about the AI salon mastermind in a bit.
423. 1:21:05But in water cooler, I'm just going to drop in. We'll call this um Hollywood Hollywood
424. 1:21:21money history dashboard. All right. So you can go into uh AI salon and go to water cooler and
425. 1:21:36you can get access to this cloud application. All right. So copy link and then let's go to it. Let's go look at it as a standalone
426. 1:21:52app. Yeah, this is slick. You can jump 10 years ahead. Psycho, $800,000 budget, 60 million
427. 1:22:12gross. I feel like it should anchor the the year at the top. Oh, that's cool. It's got a little play button. Whoa. Look at the look at the
428. 1:22:26streaming. The the the bottom one is streaming. Look at talk about existential crisis. Okay. Okay. Actually, this is this is really good.
429. 1:22:37This is actually very illustrative. So if you go back to 1950s up until
430. 1:22:5270 five when Betamax comes out. So from 1950 to 1975, 25 years it was just theatrical and then this thing
431. 1:23:05called called Betamax comes out and then VHS comes out and notice how they're eating into the share of movies. And
432. 1:23:13remember when all the movie people were like they're copying our movies onto these VHS tapes, they're stealing our
433. 1:23:21data. And then what the hell happened? Oh yeah, the home video, the format war 1980. Look at look at how theatrical dropped from 80% to
434. 1:23:3640%. And then theatrical and home video are now even, right? If you're in the movie business, this is existential. This is the kind of
435. 1:23:47[ __ ] every business is going to be confronting with all this AI [ __ ] So their DVDs came out. Theatrical drops to 25%. DVDs go to
436. 1:24:0235%. Now look, streaming comes in in 2007, right? It's just this little blip. Everyone's making fun of
437. 1:24:16it. 25% 35% 5%. And now watch. B, right, DVDs go away, right? They disappear
438. 1:24:31completely. No, they're still there. They're 5%. Theatrical is at 20%. Streaming is at 60%. That's That's radical. And And you
439. 1:24:44know what's going to happen with uh with what you call it with you know what I'm saying? All right. Disruption and streaming wars.
440. 1:24:56Okay. Okay. I want you to add a speculative slide. Do research on the current state of AI
441. 1:25:13video tools. including VO3. Um, current. What's up, champ? You
442. 1:25:29want cheese? Including V3. And what? Create a speculative slide. Oh, wait. and create
443. 1:25:43a prediction of how AI will impact [Music] Holly would
444. 1:25:58um predict the impact of democratizing
445. 1:26:15and hyper personalizing um movie making. All
446. 1:26:29right. What are we doing today? We're playing. We're playing. Uh uh uh AI media should be the newcomer category.
447. 1:26:45Yeah. Oh, go to 2020 and see if if it changed theatrical 20 post pandemic Hollywood. So 2019 25% 2020
448. 1:27:0120% 2023 20%. So it basically knocked it down 5%. I mean, there was that big dip, but it kind of came back, I guess. But yeah,
449. 1:27:1520% studio power rankings, Disney, Warner Brothers, Universal, Sony, Netflix number five, huh? All right. Very cool. That's
450. 1:27:31that one. Uh, Gen Spark still doing its thing, right? What do you want? Winer. What do you want?
451. 1:27:52[Music] [Music]
452. 1:28:09[Music] All right. What has Manis done? Where are we with Manis? Updating the plan.
453. 1:28:24diff original. I don't know if you knew this in Manis, but you can this they call it Manis's computer. You can scroll back
454. 1:28:39through it. So, as it's doing its thing, you can kind of look at what it did. And then you can actually save this as a movie
455. 1:28:48and play it as a movie. The algorithm will s will suggest show ideas and then generate them as you're wa watching starf fighter. That's
456. 1:29:01cool. Yeah. Yeah. We're going to get to the point where this is going to be um movies will be completely dynamic and hyperpersonalized. Tony
457. 1:29:15Casantino. There's also something weird is it doesn't add up to 100%. Other formats not in the graph. Yeah, it's
458. 1:29:22like that that thing's not perfect. The CL the claud thing's not perfect. Again, I'm just kind of doing these as one shot
459. 1:29:28oneshot things. I'm not doing any refinement to them. If you were going to actually publish that, well, I know I
460. 1:29:34published it, but if you were going to publish it and, you know, mean it, you'd go in and and fix all that stuff and it
461. 1:29:41like it could fix it all. It's just it got lazy and and [ __ ] up. That's these again, the tools right now are very easy to demonize, right?
462. 1:29:53It's very easy to go, well, it didn't get this right, didn't get that right, didn't get that right. And people are
463. 1:29:59using AI's imperfections as a reason to stay on the sidelines. And I think that's the biggest [ __ ] mistake you
464. 1:30:06could do. I I think like right now take whatever energy you have and put it into learning everything you can
465. 1:30:14about AI. It doesn't matter anymore what tool you pick. Just pick something and just go play with it. Um and just get
466. 1:30:22curious about this stuff and understand what these things make possible because they're just going to get better and
467. 1:30:27better and better. I mean, they're they're these things are getting to the point now that we're, you know, we're in
468. 1:30:33the 85 90% range of like as good as it should be. You know, it used to be 75 80 and it was like 80 85. Now we're like 85
469. 1:30:4490. That last 10%'s a [ __ ] but it's not going to be that long until these things just generate [ __ ] perfection. And then what do you do,
470. 1:30:55right? Okay, so the AI revolution. Okay, good. Why did it make that slide so
471. 1:31:10tall? Wow, Kyle, speculative AI slide came out looking fantastic. As someone deeply involved at the intersection of
472. 1:31:17AI and creative storytelling with your work at StoryVine in the AI learning lab. Wait, how did it know that? I I guess I've
473. 1:31:32done research. I guess GenSpark has memory now. That's kind of surprising. Speculative. As someone deeply involved at the intersection of
474. 1:31:45AI and creative storytelling with your work at StoryVine in the AI learning lab, I think you'll appreciate how
475. 1:31:50comprehensive it is. The slide explores how tools like V3 and Google Flow are poised to transform Hollywood's economic
476. 1:31:58landscape through democratization of production. The cost comparison chart really tells the story. Traditional film
477. 1:32:07making at $10,000 plus AI assisted at 500 and fully AI generated at 50 to 250 for a five minute short. The economic barriers to entry are
478. 1:32:18collapsing. Hyperpersonalization re uh revolution. This is cool. Okay. So now view and
479. 1:32:44export. The Hollywood economy export beta PDF PPX. Publish, play slides, edit in Canva. So if
480. 1:33:01I play slides, there you go. All right. So this
481. 1:33:15is this is what GenSpark created. I don't think you can do any click on each era to explore. Oh, nothing
482. 1:33:31happens. All right, whatever. Streaming wars. How do we go on? How do we move on? Oh, it's broken. Damn it. Well, whatever. Slide two.
483. 1:33:47the studio system collapse. I think that slide I think this slide was supposed to jump to each of those other slides and then
484. 1:34:01it's not doing it. Let's export this as a as a PowerPoint. Generating P PowerPoint. Oh, god damn that thing.
485. 1:34:171 to 10 minutes. Uh, okay. It's exhausting. Everything like Yeah, I know. It it it did research and designed
486. 1:34:28and made a whole presentation for me and I'm annoyed that it's going to take 10 minutes to export it. Click play slides for a nicer
487. 1:34:36presentation. Yeah, I did that and it it they didn't work. Play slides. And then there's Apple moving my windows
488. 1:34:45around for me in ways that I don't want. Thank you, Apple. So, if I roll over these, they just they don't
489. 1:35:01work. Oh, it also didn't rewrite. It didn't rewrite the first slide. Okay, this is done now. So, let's open this in
490. 1:35:18[Music] [Music]
491. 1:35:33Keynote. Open with Keynote. Ah, why is it taking so long?
492. 1:35:51Okay. Play. All right, that sort of worked. Oh, no it didn't. Oh, Apple. Damn it. Sorry.
493. 1:36:15Studio system collapse. This is pretty pretty amazing. You gota you gotta you got to give it
494. 1:36:32that. It's a little hard to read, but the DVD age DVD revenue peaked in 2004. Just been
495. 1:36:46sliding. Box office staying steady. VHS revenue. Digital disruption. digital sales eclipse DVD sales in
496. 1:37:052013 streaming wars. Huh, and then the AI revolution. And again, these slides are they're bigger than they can be
497. 1:37:21displayed. Huh? All right. Crazy crazy ass stuff, man. All right. Manis Manis is still
498. 1:37:38off. Okay. Test picture book functionality. Finalize and deliver completed projects. I'm continuing to develop the
499. 1:37:47picture book with all the interactive stuff. Let's see what it did. Did it do anything fun? Show us pictures that it made. No. Jump to
500. 1:38:06live. All right. I've completed both parts. Interactive dashboard. Interactive picture book.
501. 1:38:32Share Manis' creation as an interactive website. View all files in this task. Interactive picture book. Here we go. There's no pictures.
502. 1:38:49Well, I don't know. I don't know what to say. I don't know what to say, people. Manis, I thought Manis now had images
503. 1:38:58and videos, and I don't see it having done that, but I could be clueless. Again, the interface on these things is
504. 1:39:05kind of a mess right now. So, all right. So, here's the thing. I'm going to wrap it up now. Um, what I want you to do is go on over
505. 1:39:17to the AI salon. So, go to the salon.ai and then click on join our community. If you're not a part of it,
506. 1:39:25if you are a part of it, just head over there. But when you go to the A salon, um we have a new area called the
507. 1:39:34mastermind, which is a new uh subscription area within the salon that includes clubs and hubs and things like
508. 1:39:44that. Um as well as tool talk, uh the the showand tell area, things like that. So this is a new area. It went
509. 1:39:57live technically on Sunday, but we had we had an issue with Stripe not cooperating. So, we fixed that today.
510. 1:40:04So, it is now live. So, if you're not part of the mastermind, please go join. Um, and uh it's an area it's basically
511. 1:40:11think of it like a smaller, more focused area for people to really get to know one another, collaborate. Um, and uh the
512. 1:40:18AI salon in general remains free, but this is a more focused, tightened area. Um, so go do that. And next day, tomorrow, um, is AI salon
513. 1:40:32presents. So, if you go to the salon, go to events and RSVP for this top one. And we've got Danny Kravitz, who's
514. 1:40:44a creative, he's a professor of screenwriting and does creativity workshops and things like that. So, he's
515. 1:40:51speaking tomorrow night at AI Salon Presents. All right. So go RSVP for that. Come visit us. Come hang out with
516. 1:40:59us and uh and we'll do that. All right. And then yeah, go play with tools like GenSpark and Manis and and Deep Research
517. 1:41:09within all like all the tools now have deep research. They all do some version of this um of the stuff we did tonight.
518. 1:41:17I know it doesn't demo super well because it's just like these things are just kind of cranking along, but when
519. 1:41:23it's your project, watching them crank along is actually quite fascinating. Like watching it go surf and read and
520. 1:41:31understand websites and modify its plan based on what it's learning is is pretty amazing. All right, so go do that.
521. 1:41:39tomorrow night. Um, we'll probably be a little late because we've got the AI salon until 7 and then I got to come
522. 1:41:46home and eat and, you know, just do life. So, it'll probably be 8:30 or 9. Pro. I'll shoot for 8:30, but it it'll
523. 1:41:54it'll be one of those two. 8:30 or 9 Mountain time tomorrow night here. All right. Beautiful. Fantastic. All right.
524. 1:42:02Well, we got through some stuff. We saw some Perplexity. We saw some Madness. We saw some Gen Spark. We saw some
525. 1:42:10cloud and we had good questions like well when would you use those tools over chat GPT and I don't have a good answer
526. 1:42:17for you when you need something more. It's a crappy answer. Oh man. All right. Same project, three different models. Yeah, exactly.
527. 1:42:31Are you doing two projects at once? We did three projects at once. I say Claude wins. I would say that. Yeah, I I would
528. 1:42:38say Claude wins, Jen Spark comes in second, and Manis was kind of disappointing quite quite honestly. So,
529. 1:42:46oh man, thanks Rick. I mean, Kyle U for if we include Perplexity. That's right. Yeah, we did this started in Perplexity.
530. 1:42:55So, we did we did four different four different projects. So, groovy. Um, all right, everybody. Have yourself a
531. 1:43:02fantastic night. I will talk to you later. Bye.