1/7/2026 - The AI Commoditization of Knowledge and Why Soft Skills Are the Future

Transcript

1. 0:00You ready for the singing? Oh, you ready for some football? Oh, yeah. Champoloo.
2. 0:35Thousand words swarm around my head. A million more books written beneath my bed. I wrote or read [singing and music] them
3. 0:49all. Searching in the swamps. Still can't find how to hold my hands. >> I know you need extra room over. I'm stuck in here all
4. 1:06paralyzed. >> For months I [singing] got myself in ruts. Too much time spent in mirrors framed in yellow [singing] walls.
5. 1:21[music] >> [music] >> Ain't it like most people? I'm no different. Like to talk on things we don't know [singing and music] about.
6. 1:37Ain't it like most people? I'm [singing] no different. Like to talk on things we don't know about.
7. 1:54Oh, [music]
8. 2:12[music] >> [music] [music]
9. 2:30[music] [music] [music] >> It really breaks my heart
10. 2:45to see a dear old Friend, [music] we're down to that worn out place again. [music]
11. 3:06[crying] Hey, [music]
12. 3:33[music] >> [music]
13. 3:55>> Woohoo! Woohoo! [music]
14. 4:13Good evening everybody. What is happening? [music] [music]
15. 4:30>> [music] [music]
16. 4:46>> Yeah. [music] Yeah. Hallelujah. [music]
17. 5:05[music and singing] [music]
18. 5:19[music] >> [singing] [music] >> So, let me talk about my my uh my daily practice. Good day, everybody. What's
19. 5:34happening? Mimi got myself a big Aar calendar to start my daily practice. Let's talk about daily practice. So my day today,
20. 5:48um, [laughter] first of all, it started with, oh, big ass calendar. Oh, okay. Big number sign calendar. You can swear
21. 5:58on my channel. I don't care. [laughter] In fact, if you The more you don't swear, the more it confuses me. Well, my
22. 6:07goodness, McGillicuy. [laughter] Oh, but you can't cuss in Tik Tok comments. All right, fine. Whatever.
23. 6:17Good lord. I feel like we've got just, you know what? Whatever. Doesn't matter. No sense screaming up up up river. Um,
24. 6:31so I I started this morning. I had to drive my kids to South Denver for a doctor's appointment. Then they wanted
25. 6:36to go to MicroEnter. The doctor's appointment was supposed to be five minutes, two and a half hours. Then the
26. 6:44microenter was like an hour and a half. I'm taking calls in the car and then I went to work and then I had a
27. 6:52live show with an and then I had to go back down to MicroEnter to pick up the computer. We left it whatever. And so I
28. 6:58got back here like 15 minutes before. So, the last thing on the planet I wanted to do was do anything related to work or my practice.
29. 7:09Um, I didn't even really want to come live. And this is where So, I've I've talked on here before about a habit is not a practice. A habit's
30. 7:20just a habit. You just do something. And I set this channel up as a habit. And so, thank God. [laughter] Thank God I did. Right?
31. 7:32Cuz when when you're feeling like tired and spent, you know, if you got a habit, you're just like, well, I'm just going
32. 7:38to go do that thing now. So, um, so I am currently not super intentional because I haven't I just I literally haven't had
33. 7:45time to take for myself. Last night was really fun. Last night I took a little a little I played hookie a little bit for
34. 7:52my practice. So what what we agreed to last night and by we agreed someone someone on the channel came up
35. 8:00with the idea and I was like yeah let's do that. Um and uh that is la last night on this channel was a cheat day. So I'm
36. 8:10going to have practice cheat days. I can take here's here's here's the the rules I I invented yesterday that I I can take
37. 8:19up to one cheat day per week and they do not accumulate. I don't have to take a cheat day. I'm on a roll. I can just
38. 8:28keep going. If I take a cheat day, we're just going to dick around and play with tools and toys and not really think
39. 8:33about it. Um, but otherwise I'm going to be doing my practice, which is I'm going to be looking at stuff that needs to get
40. 8:40done and organizing things and just doing the work. Doing the work. Um,
41. 8:55[music] >> [music]
42. 9:10[music] [music] >> Corey singing along. Sing it. Sing it,
43. 9:25lady. And then, but the other thing that happened was I think it was last night I got a text from Dr. J, Claire Jacobs.
44. 9:35Claire Jacobs of um Life Hacks fame along with producer Brandon. Apparently, they had a really good show today. And
45. 9:43Claire said, "Look at your porch tomorrow morning. there's going to be something delivered there for you
46. 9:50between 4 and 8 am. So, first of all, what kind of insane delivery service I assume Amazon delivers between 4 and 8 a.m. [laughter]
47. 10:01So, so I I was not up at 4 waiting. [laughter] Oh, Brendan, hello from Melbourne, Australia. Nice. AI Instigator. Good title for you. Thank
48. 10:15you very much. Hello. Hello. >> [music] >> Hey everybody. Glad to see everyone. Be not afraid. I think we should be able to
49. 10:23have a majority vote if you take a cheat day or not. No, I can't. This is the thing. You all [laughter] Oh, what if a tool drops? Well, so
50. 10:33listen, Danielle, here's the thing. Part of having a daily practice, it doesn't just mean I'm doing misery
51. 10:40things, right? Part of having a daily practice is playing with purpose, right? So if a new a new tool drops
52. 10:48and I need to understand that especially if it's something in the video space the music space it's something in kind of
53. 10:55businessy marketing kind of you know new large language model something like that um we can absolutely still have play
54. 11:03days that are part of the practice they're just going to be a bit more intentional right like how I choose them
55. 11:08won't just be like ah we'll do whatever whatever the wind blows is um because I have enough I have enough [ __ ] to do
56. 11:17that that I've got I've I've got so much it's it's overwhelming. And what's nice about treating this as as part of my practice is that
57. 11:29I know that I can at least take some chunk of to-dos, you know, off off the list when I'm here. Um so that's good. Anyway, um Dr. Jay said,
58. 11:42"Look for a package." And so, oh yeah, it is Amazon. Look, there's a little Amazon thingy. Um, so the story
59. 11:51behind this box is the other night I was trying to do a video. I think I was trying to do something for Sydney and I literally couldn't make
60. 12:01Photoshop edits because my hard drive is so full. It's like, your scratch disc is too full to to do a gener a generative
61. 12:09fill. Um, so this this is an external hard drive. So to the irregulars and to Dr. J and whoever had a hand in this,
62. 12:19you A, you didn't need to do this, but B, if you didn't do this, I would just be suffering through it. So this is
63. 12:25going to actually make a really big difference in my life. So thank you. Thank you very, very much. Uh, we're
64. 12:31doing an unboxing right now. Um, it is a Wow, it it is a spelt small little case. All Dr. J, amazing. Thank you so much.
65. 12:42This is really, really generous. You don't need to do this. Um, so cool. Look how cool this is. Just like the the black the black.
66. 12:57So cool. All right. [clears throat] I almost hit the trash can. [laughter] I'm so tired. I'm so tired, people.
67. 13:12It's gonna be okay. All right, let's see.
68. 13:27I'm plugging it in. We're doing a little We're doing a little Christmas present. [clears throat] The little light came on.
69. 13:37Always a good sign. Hop over to Finder. Seagate portable drive. Get info. Two terabytes, baby. Oh yeah.
70. 13:53[laughter] So, wait. The first thing I think I can do, I think this thing's huge. This folder. And it's functionally useless. Oh, it's
71. 14:05not that big. Drop. Ah, this one I think is big. No. Okay. Well, anyway. All right. So,
72. 14:19that Let me share my screen. Tik Tok pin. So, I just watched the Stack Overflow video. It blew my mind. You're so right. Ah,
73. 14:29thank you very much. So, if you don't know the Stack Overflow video, let me let me call an audible here and and deal
74. 14:35with that because I I think, you know, it's it's funny. Sometimes you make videos, um, no, let me not talk in the
75. 14:43third person. Sometimes I make videos and I feel like they're important or they're a big deal or I'm really happy
76. 14:50with them or whatever. Um, and then a lot of times they're just not. They're just like it was like an idea in the
77. 14:57moment. This one is one that I made it and I thought, "Yeah, this is a big deal." And then I made it and I uploaded
78. 15:04it and the next day I went and looked at I went and looked at the the posts and the comments for the most part were
79. 15:13were supportive of it, but I got this really I rarely get pangs of guilt when I post something, but this is a this was a post
80. 15:23that I got a pang of guilt. Not because I think the video was wrong or too hyperbolic or whatever. It was a bit
81. 15:29hyperbolic, but I actually think it's true. Um, but why it made me feel bad is it's saying something really plainly
82. 15:41that I think is is about to catch a lot of people off guard. I I think that I think what it talks about is about to happen. So, let me go
83. 15:51show you the the impetus for it. [clears throat] Oh, man. 2026 is going to be quite surreal. It It really is.
84. 16:04I know. Black bar. I'm getting there. Um, Stack Overflow.
85. 16:19So this chart, [snorts] you can't really see it on Tik Tok too good, but on YouTube you'll be fine. This chart, most of the posts about this
86. 16:29chart, if you just go search on X for Stack Overflow, you'll find this chart, and then you can find the source and go look at it.
87. 16:37Um, it's a it's a Y combinator post that's got uh that's got comments and then at the top of it, it'll take you to the actual graph. [sighs]
88. 16:50Um, what this is is Stack Overflow is a site that was founded in 2008. So on the left is 2008. Here are the 201s, right?
89. 17:02So here's at at its peak it was 2014, right? So 2012, 2013, 2014, all the way out here to like 2020, it
90. 17:12starts dipping a bit. There's some big spike in 2021. No, 2020. I don't know what that spike is, but whatever. This is weekly
91. 17:23number of questions asked. So, Stack Overflow is for programmers asking other programmers hard questions
92. 17:32about programming. It's monthly. Oh, that's the pandemic spike. Oh, yeah, that's right. Okay. I don't think it is
93. 17:38monthly because you have two years here and there's there's 12 uh there's it's not is it monthly? Oh, it's
94. 17:47monthly. Yeah, it's monthly. Yeah, it is. It's monthly. Yeah, 12 12 per year. So, so this is monthly. And and up here
95. 17:54in this higher range, this is between 150 and 2,000 questions per month being asked right here. Right here
96. 18:06is 2022. That's the launch of Chat GPT. And look at this. It just collapses. It falls off a cliff. So the video that I
97. 18:17made on Tik Tok basically says um this happened and if you think this is relegated to um to programmers you're wrong. This is any
98. 18:32expertise any expertise has now been commoditized. So we can selfservice knowledge. Right? It used to be if you
99. 18:41wanted to get a hard question to ask as a programmer, you'd come to something like Stack Overflow and you don't have to anymore. You can
100. 18:50go to chat GPT. And so, >> yeah, >> I just wanted to call out because I I went back and researched this a little
101. 18:57bit further offline between our shows. It's actually if you look at go back over to 2022, >> where you were pointing before is
102. 19:05January. So we still have most of the year until middle of that bar is like November. >> Oh yeah, >> that's where it just
103. 19:15>> Oh, this is this this spot right here. You're right. Yeah, because this is here's 2023 is the middle of this grid. You're right. So
104. 19:24it's literally right here. We're at 109,000. Chat PT comes out and you drop to 97,000 and then you drop to 85 and then you drop to 68.
105. 19:36and then it's just it's just gone. You're right. Wow, that's really good. I'm glad you pointed that out, Brandon. Thank you. Um,
106. 19:44but this is this is a proxy in my opinion for any knowledge. And one of the things that I'm noticing in the AI salon, one of the things I'm
107. 19:55noticing just in the world is that there's a lot of people either getting laid off or, you know, they got
108. 20:00displaced because of of Hey Foosie, what's happening? uh of what's going on and
109. 20:14satire perspective. Now the artists are burning forest to generate goofy videos with AI. It's true. It's true. But the
110. 20:21artists are also starting to learn how to use AI to make art, right? Like artists will be the first ones to use
111. 20:28any new technology. they'll figure out how to use it how other people have not thought about it. So, we're we're we're
112. 20:34entering a great renaissance. It's it's really an exciting time. Um, but there's a lot of people right now that I know
113. 20:43that are saying, "Hey, I've got 30 years of experience in this or I'm really good at change management or I'm really good
114. 20:49at this." and they're they're making content and they're making marketing materials and they're doing posts on
115. 20:55LinkedIn and the bulk of the of the posts are what used to work. What used to work was I've got 30 years
116. 21:06of experience in change management and someone to go I need someone in change management they've got 30 years of
117. 21:12experience that must be great. Now if someone wants to do something in change management ch change management they go
118. 21:18hey chat GPT I got a change management challenge what should I do they're asking chat GPT and so the thing that I think is it
119. 21:28probably has already fallen off a cliff just like this chart but we don't know it yet because we're optimists and we
120. 21:36all just started our consulting businesses right and we're hanging our shingles out I don't think the phone is going to
121. 21:44start ringing. If you're marketing skills and experience, skills are about to be democratized and experience, knowledge
122. 21:53is now a commodity. Anyone can have it. It doesn't mean that people aren't going to be hired. It doesn't mean that people
123. 22:05won't work again. But I think what does change is why you hire someone. Why you would reach out to someone.
124. 22:14And it's not about their skills and what they know. It's about soft skills. You trust them. You like working with them. You know
125. 22:24they've got integrity. Um you like their taste. Lots of people can prompt um MidJourney to make cool images. Kelly
126. 22:34Bash can prompt MidJourney to make amazing images, consistently incredible images that are recognizable as her style.
127. 22:46That's about who she is, not what she not what skills she has, it's about who she is. And so that I think is the
128. 22:54shift. And so if you're someone who's kind of hung a shingle and if your marketing is around your skills or your
129. 23:00expertise, I would strongly consider a couple of things. One is get your ass in community. Get your ass in a community
130. 23:08like the AI salon or she leads AI or whatever it might be. I use Stack Overflow religiously many moons ago. I'm
131. 23:15not sure I remember the URL anymore since LLM. That's retrofunk. Yeah, exactly. Speaking of, I've been taking
132. 23:22my midjourney prompts and using them in Grock imagine. It's significantly better in many ways. It makes very good videos
133. 23:28as well. I might drop my midJourney subscription. Well, archetypal, you can also drop your midjourney subscription
134. 23:34because if you go to Meta AI, that's MidJourney for free. Meta Meta.ai, if you didn't know this, the image generator on Meta.ai is
135. 23:44MidJourney. And it it's videos and images for free. I don't know if they've got uh cap caps on them. Rate rate rate limits. Um anyway,
136. 23:59oh yeah, but but I avoid Meta on principal. I listen I I'm with you. Keep paying for mid Journey. [laughter] Um anyway, th this chart is
137. 24:14this feels very significant to me, right? Think about like all of the the value that the people that were
138. 24:22answering these questions, building brands for themselves as experts, they're still just as smart as they
139. 24:29always were, right? They're still just as expert. They're actually more expert because this was, you know, 10 years ago,
140. 24:37but no one's looking for that because they're self-s serving knowledge. wisdom, curation, taste, integrity, trust, curiosity,
141. 24:53adaptiveness, giving a [ __ ] All of those things are the reasons people are going to hire you in the future.
142. 25:05And you know, some people have pointed out in my my posts, well, that's the way it's always been. And I would agree with
143. 25:10that. In general, you hire people because you know them and trust them. Um, who who you know knows matters.
144. 25:17Um, but I think the the whole the whole thing of marketing skills and expertise I I just I can't imagine it working
145. 25:29anymore unless you're marketing what I think is going to be a temporary skill and expertise, which is I'm an AI expert,
146. 25:37which I don't even know what that means anymore because things are changing so fast. So, anyone who claims they're an
147. 25:42AI expert right now, I am immediately skeptical of. So, I think short-term people are going to hire some of those people. But if
148. 25:50you're like, I'm a consultant, I'm a creative director, I'm a this, I'm a that, I don't know. I don't know, man. Anyway, that
149. 26:01there's a depressing way to start the show. [laughter] Um, okay. So, did I move stuff over to my hard drive? I don't think I did. I have
150. 26:17a new hard drive. Thank you, Dr. J. Let's see here. There's that. We're going to throw this out.
151. 26:34Why can I not throw that [ __ ] out? Do I not own that drive?
152. 26:54Amazon deliver tabs. Oh, sorry. [laughter] Producer Brandon is on it tonight. I am very slow tonight. I am very slow. The
153. 27:05brain is not working. So, if you're expecting wit, it ain't coming from me. It Listen, I don't need to have experience or skills
154. 27:14with wit anymore. I can have chat GPT do that now. Um, I think I might have to format this drive. Let's see if I click here. [snorts]
155. 27:33Get info. Share folder volume. Windows NT. Yeah, I think I have to reformat this bad boy. Here's a little here's a little
156. 27:44something we do on a Mac is we get things that are formatted for Windows. We got to fix them. [laughter] Let's see. Um,
157. 28:00dis disc utility. [clears throat] Seagate portable drive disc utility
158. 28:16erase macos extended journal master boot record Apple partition map. Oh let's [laughter] hang on let me take a screenshot of
159. 28:32this. All right, let's go to chat. JP,
160. 28:47I used to be a mech geek. I used to know the answers to all the questions. Which way do you format your drive? I don't anymore. So,
161. 28:55what? Why do I not have that? Was that not on clipboard? That was on clipboard.
162. 29:10Oh, come on. YouTube comment. Kyle, we will always feel you're very witty, especially when you're wearing your pink
163. 29:18bow. Thank you. I appreciate that. Um how uh which um should I use in formatting a new drive for my M1 MacBook Pro.
164. 29:45>> [sighs] >> Maybe the coffee will kick in at some point here. If you haven't backed up, you're out of room. It might not let you back up.
165. 30:02Uh uh. Is a shoe in here tonight? I got to tell her Claude and I are brawling over what to toss from the closet. That's funny. [laughter]
166. 30:13New way to use chat GBT scheme GU for an M1 Mac. You almost always want GUID permission map. I knew that. Partition
167. 30:21map. GUID partition map. Exactly. Everybody knew that. Go. Oh, I should have named it.
168. 30:37I'm going to rename it. [clears throat] Can I edit the name? First aid partition. Erase restore [clears throat] info.
169. 30:53I'll go over to finder. Can you You all are seeing this, right? Rut row. Why did it not do I got to mount it?
170. 31:08[laughter] Rename. We're going to rename it Dr. Dr. Jay's medicine.
171. 31:23[laughter] Yes, this counts as practice. This does count as practice because this is making my computer usable again. Um,
172. 31:34how do I mount this? Unmount. It says it's mounted. Why do I not see it? Uh, let me quit disc utility. It's quit.
173. 31:49Oh, Dr. J. Dr. J's medicine. Look at that. There it is. Boom. And then we grab, let me rename this. This is SV Dropbox.
174. 32:07Yeah, there we go. It's copying that [ __ ] over. And then we're going to take this one and do the same thing. [sighs]
175. 32:20Wait, that one. That one didn't go over. Why did that not go over? What did I just do?
176. 32:35Did I move it in there? Rutro [laughter] What did daddy just do? Uh [laughter]
177. 32:50h how big's my downloads folder? I'm such a digital hoarder. It's so bad. 27 gigabytes in my download folder. I'm
178. 33:03like, I don't want, you know, I might have downloaded something I I I I want to look at again. All right. So, okay. These are are not
179. 33:12dragging over here now for some reason. Why? Uh uh uh uh uh uh. D
180. 33:27copying 800 8,000 items over Dr. J's medicine show. N Dr. J's medicine. You can use voice with screen share if you're having
181. 33:42trouble. Am I not sharing? I'm sharing, right? Yeah. Um, okay. Whatever.
182. 33:57That's going to copy over. I'm not going to do file management here on the show, but I did just lose a folder. [laughter]
183. 34:08That's That's disconcerting. And it looks like is my Let me look up Dropbox. I I have a feeling my finder just
184. 34:24crashed is what's going on.
185. 34:42Yeah. Here. Where is this? Yeah, it's still there. Okay. All right. Um, all right. I'm not going to bore you
186. 34:55with the fact that I probably need to restart my machine. [clears throat] What I am going to do is bore you. So,
187. 35:00there's two things that I want to do tonight. One is I just want to show you some of the updates that I made in
188. 35:07notion. So, those of you that predicted, those of you taking side bets, Harry, exactly. Some of you taking side
189. 35:16bets on if I would survive more than a day setting up notion. I'm now on day four of actually using it. Well, not
190. 35:24that's not true. I'm not in day four of actually using it. I'm in day four of sort of kind of figuring out that it
191. 35:31might be useful at some point for me to use. [laughter] If you're like, Kyle, that sounds awful. Welcome to a daily practice. Okay. So,
192. 35:44so I've got Kyle's daily control board. So, this is my notion notion window. And then my daily control board. I've got my
193. 35:52tasks. And I've only got three in there because I'm still setting it up. I've got business areas. And then I've got projects. And all of
194. 36:03my projects now go into a business area. And then they also have um tags for them whether they're on track, off track, or just starting. Um
195. 36:18and then I've got this new thing. I've got a a people database and I've got a project people database. So the people
196. 36:26are just like a list of people. And then the project people database is the database that connects that adds and
197. 36:34associates certain people with certain projects. Um, and if I go into the project people database, I can now let's see
198. 36:47how do I do it? Did I do project links by project? Yeah. So now I've got I can look at my projects and know like who
199. 37:00are the key people in a given project. So this is my my musical I'm working on and here are the key people, my two
200. 37:07producers and my coowriter. And then and then I've got them tagged as key people. And so I'm going to be able to for for
201. 37:14the kinds of people I've got key people, support people, future people, past people, and dream people.
202. 37:24So dream people are like, I would love to have famous person or person you highly respect be a part of this project.
203. 37:34Um, and so I'm going to start tracking all that and and what I'm the shift that I'm trying to make. And this is a thing for me personally
204. 37:44because I've got issues like all of us do. Um, that for all of my life, I have treated projects like entities that have tasks associated
205. 38:00with them. And if you're like, "Well, Kyle, but that's project management. It's called task management for a reason, Kyle."
206. 38:09What I realize projects actually are. Like, if I initiate a project, I initiate the AI learning lab. People show up here. There are people
207. 38:20like producer Brandon that are key to making this thing go and the mods that help on Tik Tok and things like that. In my old model,
208. 38:31it was almost like it wasn't Brandon and the mods. It was like there are tasks to do. Like a task would be thank Brandon
209. 38:39for working so hard. That's a task, right? But but it's like my relationship was with the task, not with the person
210. 38:50that I feel, you know, might need something. Do they have what they need? And so the shift that I'm trying to make
211. 38:57is I'm trying to start to think of all of my projects as communities of people who are giving me the gift of their attention
212. 39:08and their genius and their expertise and their wisdom. And it's my job to make sure they have what they need to be able to support
213. 39:17that project. And so I'm really excited about this new thing. It scares the living piss out of me because this is I've never thought
214. 39:26about it like this in my whole life. And you might be like, "Well, it's pretty obvious, Kyle. Projects are people." It
215. 39:33might be. It might be for other people. It hasn't been for me. Tik Tok. I'll give you money to take my name off
216. 39:41the list. I don't think your name's on the list, is it? [laughter] I don't think it is. >> [laughter] >> That's pretty funny.
217. 39:57Um, the AI summary said this live was a [ __ ] show. It is. [laughter] This live is a [ __ ] show. Listen, they
218. 40:08don't call the people that show up here every night irregulars. So, here's the deal. If you are neurotypical,
219. 40:16don't don't even stay. You're going to hate this. You're going to hate this. It's nonlinear. It's It's uh
220. 40:31I occasionally finish a sentence. I occasionally make a point. I often ramble in coherently. I'll lose my [ __ ]
221. 40:39over nothing. Someone will ask a question like, "What what do you do you like better, Chat JPT or Claude?" And
222. 40:46then I'll just scream for 45 minutes. >> [laughter] >> So, so if you're expecting if if you come into the AI learning lab with
223. 40:58expectations like well let's see what the professor has to teach us sir what are your qualifications
224. 41:04it's not going to be good it's not going to be good for you anyway nonlinear and non-ircular and no tri not triangular too exactly
225. 41:13th this this live is a [ __ ] show actually you know what where did you where did you see that that uh that
226. 41:21summary because I would like to make some social media ads for AI learning lab. This live is a [ __ ] show. Tik Tok.
227. 41:30Tik Tok AI summary. [laughter] Arg. I'm stuck in a 3se secondond loop. That sucks. Reference to current events.
228. 41:43Big boy. What's happening big boy? Hey big boy. What's shaking? What's going down, big boy? [snorts] Stanford researchers just
229. 41:53published Sleep FM, a new AI foundation model that can predict over 130 health conditions like dementia, heart attacks,
230. 42:01and Parkinson's from a single overnight sleep recording. Good lord, 2026, man, we're about to see some [ __ ]
231. 42:10I think they just I just saw an announcement that that they they might have found a way to prevent blood cancers like leukemia.
232. 42:19That was like two days ago or three days ago. Now there now they can p predict all of your ailments from an evening of sleep. [laughter]
233. 42:29Joy is joy in the house. Joy, your jobs, you're we're not going to need your services anymore. AI is going to do that now. >> [laughter]
234. 42:42>> All right. So, so that's that's the progress I've made on on notion. Um, I'm not I still don't quite have my head around it. It be so
235. 42:59if how do I put this? If you have a functional prefrontal cortex, the thought of thinking about
236. 43:14the organizational matrix that you would put together to stitch together some relational databases to organize your tasks might seem
237. 43:25relatively trivial to you. It makes my head hurt. And it it like the minute I think about these relationships, I'm
238. 43:34thinking about other ways of doing things and other things I can add. And so what I'm trying to figure out is can
239. 43:40I can I create a foundation here that can work with the way I work without it, you know, I just completely overwhelming
240. 43:48me. So So I find this very very stressful. Um Joy Pie, I'm 100% okay with that. I'm I'm burnt burnt. I'm in burnt mode since
241. 43:58last year. All I want to do is make films, I hope, is what you're about to say. Yeah. All I want to do is film.
242. 44:02Good. Yeah. No, I think that's what you need to be doing. That's awesome. Um, it's still pretty cool. I mean, you
243. 44:12probably you probably with 30 years of experience as a sleep analyst, you would probably find that Stanford project
244. 44:19really fascinating because you're probably the human equivalent of that, right? You you can probably look at a
245. 44:24sleep study and go, "Oh, boy. [laughter] Uncle Jimmy. Uncle Jimmy's got some issues. [laughter]
246. 44:38[gasps] Oh, good lord. Okay, so what we're going to do tonight is I need to go find in my Google Drive.
247. 44:56I've got my Sydney project and in my Sydney project I got my podcast project and in the audio thing today we're looking at something a
248. 45:11little different. Uh a new musical. Okay. So what we're going to do is we're going to put together a podcast.
249. 45:25I'm going to open up iMovie. And thank goodness that Joy Perie is a sweetheart because she doesn't make fun of me for using
250. 45:36iMovie. But those of you out there who are Final Cut Pro dorks or Premier dorks or Da Vinci Resolve nerds be like
251. 45:46iMovie? That's real filmmakers don't use iMovie. Exactly. So, we're going to open iMovie. [laughter]
252. 46:00[groaning] Okay. Let's see. All right. This was the project [clears throat] for Fest of Us.
253. 46:15[clears throat] So, here's a question. Yeah, I'm a digital hoarder. I'm going to embrace being a digital hoarder.
254. 46:32So, this is an old version of the podcast that I edited a while ago. [music] And my question to myself was, do I just use
255. 46:47this as the base and just overwrite everything? Like, do I basically just do a new cut inside this project? And I'm
256. 46:55going to say no. No, I'm going to go make a new project because I'm a digital hoarder and I'm going to embrace that.
257. 47:03And if at some point 15 years from now, someone's doing a documentary on the phenomenon that Sydney the musical
258. 47:11became and they want to go back and use see the podcast I did before the podcast that got me a producer that got it to
259. 47:21Broadway. [snorts] I'll have that. So there. [laughter] [gasps] Ah, I just use cut cap cut and iMovie sometimes. Uggh. Yeah, [laughter] I'm
260. 47:36right there with you, Corey. Uh, I'm looking forward to Corey's LOL. Um, hopefully I don't work that day. A AI to sleep lab tonight, but
261. 47:49listening. Nice. I look at a PT and I know if they are positive. Wow. Amazing. All right. Cap Cut. Cap Cut can do some
262. 48:02amazing things. Okay. All right. Whatever. IMOV is a piece of [ __ ] but it's it's fine. Like, it's fine. And
263. 48:08it's like it's and I know enough how to use it that it's fine. It's fine. Fine. >> Why is that so short? It's >> in the human world.
264. 48:18>> We need Oh, it's not. Okay. There we go. Okay. Okay. So, now we're going to go here and we're going to grab posters.
265. 48:44[singing] >> [singing] >> Oh, and then you know what we have to do? No, Kyle, why don't you tell us? Okay, I will. We've got to go turn
266. 49:00um we've got to go turn this podcast. We've got to make the podcasters >> name Microte the CTO Jason sees what
267. 49:12they've built and just has this >> oh PT equals patient >> moment >> exactly this moment >> I thought PT stood for physical therapy
268. 49:21which I didn't know I I had no idea what PT how that related to um sleep studies but I wasn't going to admit my ignorance. [laughter]
269. 49:32Oh yeah, Joy does she does sleep analysis. She's got a little She does physical therapy while they're sleeping.
270. 49:39They're They wake up stronger and more flexible. She It's It's It's a It's a branch of of sleep analytics that not a
271. 49:45lot of people know about. Yeah. You know, I I dabble I dabble in the uh in the sleep analysis world. So, yeah, with PT [laughter]
272. 49:55[sighs and gasps] free indeed. How are you? I am good. I am good. I um if you're new here, my name is Kyle
273. 50:01Shannon. This is the AI learning lab. Learning is a really interesting word in this uh uh place. The the AI has has
274. 50:10described this live as a [ __ ] show, which I think is more accurate, but uh Tik Tok frowned upon me naming it the AI [ __ ] show lab.
275. 50:20[laughter] Ah, what is meant by generative AI? Great question. Actually, Dad can answer. Okay.
276. 50:34So, so for for decades, AI's been around for decades. And there's all sorts of different kinds of AIs. There's
277. 50:42convolutional networks and there's all the like the face recognition stuff and the traffic pattern stuff and the
278. 50:49medical stuff that's been around for decades. Traditional AI a required you to be a mathematician, an
279. 50:57engineer, a programmer, a statistician, a data scientist, and you essentially had to bring your own data. There there
280. 51:05were all these different models and you would bring very specific data and you would train the AI AI on very specific
281. 51:11data and it would have a very specific output. Chat GPT is is the is the first kind of consumer product of of a whole range of
282. 51:23products called generative AI [snorts] and GPT. Those three letter letters generative pre-trained transformer. I'll tell you what all
283. 51:34three of them mean. The generative piece means that it's actually generating um original combinations of words
284. 51:44effectively or it's generating new and novel images or or sounds or or whatever it might be. The way the the
285. 51:54way the technology works is the T in GPT stands for transformer and that's a very specific technology that Google invented
286. 52:04in 2017 and OpenAI exploited uh in starting in 2020 with GPT1 then GPT2 then GPT3. GPT3 was the first
287. 52:16um large language model that started to look powerful. And what OpenAI realized if is if they use this transformer
288. 52:25architecture and they throw as much data as they can and as much compute as they can, it'll do remarkable things. And so
289. 52:33the P in GPT stands for pre-trained. And so what what OpenAI did is they went out and they basically scraped the
290. 52:41internet. So they found every website they could, every database they could, every Wikipedia, every blog post, just
291. 52:50all of it. All of it, some legal, some illegal, absolutely all of them went out and did this. They just went all out and
292. 52:57grabbed as much data as they could. And then through this transformer architecture, they do what's called
293. 53:03embedding or, you know, encoding. They call it embedding all of that knowledge in this very particular way that allows
294. 53:10it when you type a prompt, it's not copying and pasting from existing documents. It's just looking in thousanddimensional mathematical space
295. 53:20and based on your prompt it's predicting effectively what the next word is. They call it a token but you know it's
296. 53:28effectively the next word and it's just predicting kind of word at a time or little small group of words at a time
297. 53:35what it thinks the answer should be. And so the generative part is really significant because here's why.
298. 53:46Computers for all of my life, for all of our lives have not been generative. They they've been um calculators and
299. 53:55they've been predictive and they will take our data and we take our data and we run it through a program that someone
300. 54:02has programmed with logic which will always behave exactly the same way and the data will run through that logic and
301. 54:10it will come out transformed. So, so we basically are transforming existing data into new forms, but it's
302. 54:19predictable. Generative AI is creating wholly new things that didn't exist before. And people will argue like it
303. 54:28can't have no it can't do novel thought, but it can because what is novel thought? Well, novel thought is you live your whole
304. 54:40life and you encode you embed your experiences and knowledge and education into this large language model called your brain.
305. 54:53And it's got all these things in it. And then you're out walking and you see a pink a pink dog run across the street
306. 55:02and it goes into your eyeballs and it goes into your brains and you go, "Pink dog, that's weird." And then that
307. 55:08triggers off some memory when you were in junior high and you were at the junior high dance and someone had a a pink poodle
308. 55:15handbag and and you accidentally tripped and knocked it on the ground and and and and that reminded you of this time in
309. 55:22college and then you put those two things together and you're like, "Hey, that should be a song about a pink dog
310. 55:27and heartbreak." And you have this novel thought. Well, that's exactly how large language models work. They have like all this
311. 55:36knowledge in there and you give them a prompt and they're like, I think this would be the next thing and it's it's
312. 55:41literally like pulling fragments of knowledge from thousanddimensional mathematical space and it's generating
313. 55:49this new thing. It's absolutely [ __ ] remarkable. The more you learn about it, the more remarkable I think it is
314. 55:56because it's it's this very simple cold probability calculator. But what it's been trained on is the output of human beings
315. 56:12for like all of history. like whatever we have done as humans that that was jammed onto the internet in the last 80
316. 56:18years is essentially in these models and so we get to interact with we get to like collaborate with all of the people that came before us
317. 56:31that's the P in GPT pre-trained pre-trained with us so it's an incredible reflector of of humanity and what What generative AI is
318. 56:44particularly good at is being a reflector, an amplifier of your ideas. So when it gets really good is is not
319. 56:54when you learn prompt engineering. like prompt engineering is a mechanism for how to talk to these things in a predictable way.
320. 57:03But when when AI gets really powerful is when you understand who you are, what your values are, what you want, and then
321. 57:11you figure out how to share that into this machine. Hey, I really care about entrepreneurs and I care about small
322. 57:17businesses and I care about pizza and I care about, you know, quality ingredients and I care about this and
323. 57:24and I've never started a restaurant before, but I'm thinking about that now. The more you give it, that is who you are,
324. 57:32it will absolutely transform your relationship with it. Because rather than you being in competition with AI,
325. 57:41you can use AI as an amplifier of you. And that's what this channel's all about. And that's what the AI salon's
326. 57:48all about and things like that. Sorry, I'm dyslexic, so I say things backwards. It's been trained on the world's information. It has
327. 58:03>> [clears throat] >> By the way, um, who said they were dyslexic? Did you say that, Gareth? Oh, first of all, don't
328. 58:14apologize for being dyslexic. Um, we are we are a a neurospicy friend friendly channel. Um, but I also I mean,
329. 58:23you've said this, Gareth, that that um that generative AI like it it allows you to take something like your dyslexia and
330. 58:30and it it it becomes an accessibility tool. It's really cool. He mistyped earlier in chat. That's cool.
331. 58:37Um, okay. Let's go back to this thing now. So, oh, so in in my previous uh project here, here we're going to go Sydney um 2.2 2 podcast.
332. 58:54So, we're going to go. This is 2.2. Here's 2.1. So, in this podcast, we've got these these podcast characters.
333. 59:05>> Today, we're looking at something a little different. Uh, a new >> Thank you. I really appreciated that explanation. You're welcome. Free
334. 59:12indeed. I you know, do me a favor. If if you're really brand new to this stuff, join the AI salon. So, if you go to, in
335. 59:19fact, uh, Brandon will pop up community. Salon, he'll pop up a banner here in a second on screen. Um, keep coming back
336. 59:29to these lives. And if you go to community.thesalon.ai, um, join the community and and it's it's a community. We started that community
337. 59:39the week chat GPT came out, which if you're brand new to this stuff, you're going to be like, "Oh, it's going to be
338. 59:45full of bunch of smarties. Uh, that's not going to be comfortable for me." I promise you it will. It is. It is a
339. 59:53remarkable group of people that celebrate someone doing remarkable work in AI as much as they celebrate someone
340. 1:00:02coming in saying, "Hey, I think I want to learn about this stuff." It it really is truly remarkable. So, go in there,
341. 1:00:08introduce yourself. There's an introduce yourself channel um or space they call it. Um and just say hi and then keep
342. 1:00:15coming back here. I do this five nights a week. Um and what I'm working on here starting in 2026 is working on my daily
343. 1:00:27practice using AI. Um, and so everything that I'm working on in here is projects that I'm working on in my life. And I'm
344. 1:00:35trying to use AI to get better and become a better human and become a better professional and, you know, raise
345. 1:00:45the game of my projects using AI, but also using my skills and and my ability to focus and and work with intention. So,
346. 1:00:57um, we'll do AI is my co-teer. It is. It's an It's an incredible teacher. It's It's one of the one of the funniest
347. 1:01:05things about AI is um generative AI is is that people who don't use it are like, well, if it's so smart, then it's going to make you stupid.
348. 1:01:19Uh, no. It's like imagine if you have PhD level teachers for every subject in the university who have infinite patience and are
349. 1:01:33completely supportive. It can amplify your intelligence and it can it can accelerate it. It's it's just
350. 1:01:42it's so funny. It's like the the tropes and and all of the anti-AI stuff, the things that they say, it's almost always
351. 1:01:49the opposite of what they say. The robots are going to kill you. Well, the robots might just allow us ascend to
352. 1:01:57our higher selves because it's going to free us from doing the soulcrushing, shitty, repetitive work of society and
353. 1:02:06allow us to just say, "Here's who I am. Here's what I value and here's the change I want to make in the world, and
354. 1:02:11I'm going to use AI to make that happen." Right? [clears throat] Like it's just as likely we become the best
355. 1:02:17versions of ourselves as it kills us. [laughter] It's the absolute opposite of what everyone says. The robots did my knee
356. 1:02:27replacements. Listen. Exactly. You are now you are now ambulatory because of the robots. Um there's a Tik Tok pin
357. 1:02:36went away. Just pop it back up. Um absolutely. It's been a game changer for me as a high school teacher. Yeah. Yeah.
358. 1:02:43Exactly. I listen teachers that that use AI as a tool to to allow themselves and their students to think creatively
359. 1:02:52because to use AI well, it actually requires critical thought, critical thinking, intentionality, the ability to discern between [ __ ]
360. 1:03:04and and brilliance. And and AI can do both. It's great at [ __ ] It'll hallucinate up a storm for you. And as you use it more, you start to
361. 1:03:17realize, "Oh, I can navigate this because it does these other things really well." All right, Tyler, how do you combat the
362. 1:03:29negative sentiment about AI from programming co-workers? Um, you educate. Yeah, G Gareth's point. You
363. 1:03:44you educate and show. So, so there's a couple of things. One is how do you how do you combat negative sentiment?
364. 1:03:54The one thing I would not do is get on a soap box. Like, you can't win the argument of AI's better than you are,
365. 1:04:02right? Or AI is good. If they think AI is bad and you just say, "No, AI is good." then you're basically in a political like like we
366. 1:04:12this is a perfect time in history for AI to show up because we live in in such a polarized country right now and
367. 1:04:25you could certainly argue polarized world that that there are certain words we can't even say right you you just can't say certain
368. 1:04:37works because they're so politically charged. AI is kind of like that. So, we know what this is like. So, if you're
369. 1:04:43dealing with someone that just hates AI, you actually can't combat it. What you can do, and I think this is
370. 1:04:52this is life, is you can have empathy. You can under you you can seek to understand why they hate it. And a lot of reasons that people hate
371. 1:05:03AI, they're actually right about. Like like when when I get trolls in here, one of the things that upsets
372. 1:05:11trolls the most is I actually agree with them on some things. They're like, "They stole from artists." I'm like,
373. 1:05:17"Correct." And that's really shitty. You're correct. They did. And if they had asked permission, they
374. 1:05:26wouldn't have gotten it. So we wouldn't actually have these tools in the first place. And because these tools exist,
375. 1:05:33because of what they did, the lawyers are going to work out who owes what to who. Like that's happening right now. So
376. 1:05:40I agree that part of it is shitty. And a tool like chat GPT went from zero to 100 million users in 6 weeks. It's now
377. 1:05:56at 800 million users. It's the fastest adoption of technology in history. Trillions of dollars are being invested
378. 1:06:04in AI. So, there's one thing that I know about AI. I know this. I know it a because I've been on the planet for a
379. 1:06:15while and I've seen some [ __ ] But I can also just look at [laughter] 800 million users in three years is remarkable. Trillions of dollars
380. 1:06:25invested means this. AI is not going away. And so if AI is not going away and it's getting better and it's getting smarter
381. 1:06:33and it's accelerating, then you only have two choices. You can deal with it or not. And if you don't deal with it, then it
382. 1:06:47happens to you. And that's going to [ __ ] suck. And so, so like how I combat this stuff is I say, "You're
383. 1:06:55right." And actually, you have a right to be scared. Like, I understand that you're scared, but what what you'll only
384. 1:07:03discover if you use it is that AI is not perfect. And AI actually really benefits from someone with your expertise.
385. 1:07:11And so, you can sit on a soapbox over here and say, "I'll never use AI for programming." And then have it slap you
386. 1:07:18off that soapbox because it's not going away. Or you can say, "I'm going to at least understand what it is." That's the
387. 1:07:25the the whole purpose of this channel is to just basically make that distinction. AI is not going away and I
388. 1:07:34personally am going to choose to deal with it. I'm going to understand what it is. I'm going to understand how it
389. 1:07:39works. I'm going to understand what the ethical implications are. I'm going to understand the biases. I'm going to
390. 1:07:44understand what it's brilliant at. I'm gonna understand what it's shitty at to the best of my ability because it's the only way I know
391. 1:07:58to feel like you've got any sense of agency in this world. I like I actually like I feel bad. It it it makes my [ __ ] heart ache when I
392. 1:08:11meet someone who's like crossed arms like I hate I never use AI. I'm like the only person you're hurting is you.
393. 1:08:26[ __ ] breaks my heart. It's why I started this channel. It's why I started the AI salon. And what I'm discovering, what we're
394. 1:08:39discovering, what this community is discovering is that it's this liberating, [ __ ] inspiring capability
395. 1:08:50that we're all lucky enough to live at a time in history where some [ __ ] Uber nerds over the past 70 years figured out how
396. 1:09:01to combine computers and transistors and mathematical algorithms in such a way that they can take all of the knowledge
397. 1:09:13that humans have ever output and put them into this softballsiz thing that we get to like it's like it's
398. 1:09:23literally like an oracle. We get to go, "Hey, humanity, tell me how to fix my plumbing." Out it comes. Now you're a plumber. What?
399. 1:09:36I want to make a movie. Now you're a filmmaker. Ask Joy Perie. 30 years as a sleep analyst. In her mind, in her dreams at night,
400. 1:09:45she's always had these stories she's wanted to tell. Did she go to film making school? No, she went to sleep analysis school. I
401. 1:09:53don't whatever you go to for that. I don't know where you go for sleep analysis training, but she did that 30
402. 1:10:01years. But these she always had these stories. And then she started hanging out here and joining communities and learning.
403. 1:10:10She's like, "Huh, those video tools, they look like I wonder if I could take these stories I've had since I was a
404. 1:10:18little girl and get them out of my head." Oh [ __ ] I can. Like it's it's a transformational
405. 1:10:32[snorts] tool if you let it be. Or you can sit there and cross your arms and go, "The robots will never be
406. 1:10:41smarter than me." Uh, go [ __ ] try them. The robots became significantly smarter than me. When the first reasoning model
407. 1:10:51came out, 03, it was like in 2024, that [ __ ] thing came out and like it smacked me upside the head so hard I was
408. 1:10:58that was like whack. Like not as bright as you thought you were, are you there, Skippy? [laughter] I realized that I was the bottleneck
409. 1:11:11to getting AI to do interesting things, not the AI. It's remarkable. But you're not going to convince
410. 1:11:22someone, you know, who's like red team, blue team. I'm a Broncos fan. I I hate the Raiders. I hate the Raiders.
411. 1:11:31You can't convince them to not, you know, hate the Raiders. They're going to always hate the Raiders. Same with the
412. 1:11:37AI people. But if the AI people can understand that they actually have a choice and if they choose to learn a little bit
413. 1:11:48just might change their life. And if they don't, well, it's going to [ __ ] suck. [sighs]
414. 1:12:07Did I piss anyone off? I don't even know what I just said. My mom just discovered she can take a photo of the inside
415. 1:12:15of her fridge. Yeah, this is a good one. And what? And can make recipes. Yeah, exactly. So, Kelly Camp, this is a fun
416. 1:12:23one. Uh Tyler, um Kelly Camp, who's who's in here, she's one of the irregulars. Um [clears throat and snorts] this is like
417. 1:12:30two years ago. Um, and and ChatPT had come out with the ability to take a photo and and and analyze it and stuff
418. 1:12:37like that. And so she was talking with this bar owner and and the bar owner was like, "I own a bar. This AI stuff isn't
419. 1:12:45good for me. I can't do anything with AI." And so Kelly goes, "Hang on a second." She goes back to the bar. She
420. 1:12:51takes a picture of all of the bottles and then she types in a prompt that that says, um, "Make me an a spreadsheet of
421. 1:12:59the inventory of this bar and and mark any bottles that are a third or less. Tag them in the spreadsheet as need to reorder."
422. 1:13:09And he goes, "What?" [laughter] And then it goes and does all his things and it goes, "Here's your spreadsheet." She
423. 1:13:17downloads the spreadsheet, opens it up, and there's this whole inventory with the [ __ ] he's got to reorder, you know,
424. 1:13:22and his jaw dropped to the floor. It, you know, it's the kind of thing where once you understand that [snorts]
425. 1:13:34you have access to capabilities that you didn't think were possible in your life that all of a sudden you just can do that thing. Um,
426. 1:13:47it's it's a pretty profound insight or or epiphany because you then get to ask the question, if I could do anything,
427. 1:14:02what would I choose to do? That's big. That's big. Liz Miller Gersfeld came in the on the live [snorts] last week
428. 1:14:18and she talked about her daily practice. She's my co-host in the AI salon. She's a remarkable woman. She's very centered, very zen-like.
429. 1:14:28And she asked me this very simple question, Kyle, what do you want more of? And it [ __ ] choked me out.
430. 1:14:37Choked me out. Like this is profound stuff. like really asking yourself who am I? What do I believe? What do I want? What
431. 1:14:46are my values? Whose life do I want to impact? How? Anyway, [snorts] okay, let's get back to let's get back to making a podcast.
432. 1:14:57We'll get a little bit of work done tonight because I'm I'm a little rambly. I'm a little tired. Um, so we've got to go make videos of
433. 1:15:06people talking. And what we have right now is a raw podcast. >> Let's see. >> Sabotage in this horrifying circus.
434. 1:15:21>> So, we got no people talking. So, we got to go turn this into people talking. So, how are we going to do that?
435. 1:15:27First thing we're going to do is we're going to chop all the the music out of this recording and make a a a backup of it. Okay. So,
436. 1:15:41I'm going to go here. I'm gonna go Wait, where am I? Yeah, that's it.
437. 1:15:56Oh [ __ ] wrong thing. Always opens Apple Music. I should change that. >> You're looking at something a little different.
438. 1:16:03>> We're going to open this with Quick Time. >> [whistles]
439. 1:16:19>> Why? What? Why is it not working? Um, hang on. Open with quick time. Today we're looking at something a Okay.
440. 1:16:40was this moment >> exactly this moment of discovery and that feeling of awe of seeing something that could change everything is the
441. 1:16:47opening number too good to be true >> okay so here we're going to split the clip bang all right and now we've got [clears throat]
442. 1:17:04today we're looking at some >> [singing] [music]
443. 1:17:20>> Okay, split the clip there. And the reason I'm doing this is just this is a 15minute um chunk of audio and
444. 1:17:33I don't need to animate when this I don't need to animate the people when the songs are happening. [singing]
445. 1:17:43>> Vrage gives him seven days. Just [music] seven. >> Okay, we'll split it there. feeling [music]
446. 1:18:02over [music] this code to that to that split clip. Bang. Get rid of this. So,
447. 1:18:19let me just make sure I've done the right thing here. We should have talking and then a little discovery and that
448. 1:18:25feeling of awe of seeing something that could change everything, >> but then almost >> that was bad. >> Immediately see the corporate hubris
449. 1:18:39[clears throat] of awe of seeing something that could change everything. [music] Okay. It's this painful fight about constantly
450. 1:18:53postponing your but okay split clip >> THE FALSELED [music] WEED GET PATCHED UP IN A FEW THERAPY SESSIONS they stick in the gut we get in
451. 1:19:09a rut [singing] door THERE'S NOTHING BUT PASSIVE IMPRESSION.
452. 1:19:23[music] >> OKAY. Split clip. And if if if is if what you're thinking right now is my god this is tedious.
453. 1:19:38You're correct. [laughter] >> Part part of part of a daily practice is uh sometimes you got to do this
454. 1:19:50>> is slowly eroding the human cost of all this ambition. >> Okay. split clip >> through thick and thin.
455. 1:20:07[singing and music] >> If you're wondering what this is, the these are songs from a musical I wrote. This is a a Notebook LM podcast that we
456. 1:20:14edited songs into. I'm now taking the vocal track of the people talking from Notebook LM. I'm going to animate them
457. 1:20:23with some images I made as talking heads. And then we're gonna cut them into the uh into the piece. [singing] [music]
458. 1:20:38>> Kyle, look up skills and hooks and commands before start using Oh, Tyler look up. Oh, you guys are talking about Claude
459. 1:20:47Code. Yeah, Claude Claude Code's pretty amazing. Kyle, are you using Notebook LM podcast audio for the podcast? Yeah, I am. Yeah,
460. 1:20:56this is just Listen, I kind of did this on a lark like a year ago. We we finished a version of the of the script
461. 1:21:06for for Sydney and I put it into Notebook LM and I turned it into this podcast and I thought, well, [ __ ] what
462. 1:21:15if we what if we cut some of the songs into that? And then we did that and I showed it to um a couple of producers that we're
463. 1:21:24we're working with right now and they got really excited about this format. They they love this format and so this
464. 1:21:33is a much more focused thing where we're playing um I think 18 of the 20 songs. We're playing snippets from 18 of the 20
465. 1:21:42songs in the show. And then these two podcasters are talking about they kind of set up the story and they talk about
466. 1:21:49what happens in the scene before each song and what happens after. And it's just a it's just a neat little format. So, >> okay, split clip.
467. 1:22:02Get rid of that bad boy. Bang. It's so quiet and devastating. You just feel the intimacy eroding piece by
468. 1:22:14piece. Okay. So then Kellen finally meets the AI. >> And the way he discovers Sydney's [clears throat] true potential is, well,
469. 1:22:19it's not by running a standard test. >> He gives it this completely absurd task. >> He asks for an explanation of quantum
470. 1:22:25physics, but as a Detroit hiphop cipher. >> And it does it in the song The Quantum Cipher. >> Spooky action.
471. 1:22:33>> Split the atom with pattern. Every bar is a burst of truth. Super position in the mission. Okay. Split clip.
472. 1:22:49>> Spin. I'm the velocity ripping apart THE FACADE. OKAY. Split clip. >> [laughter] >> I always, one of my favorite bits in
473. 1:23:04here is, "Hey, hey, Sally, what'd you do last night?" I I don't want to talk about it. No. What'd you do? Um,
474. 1:23:15I I watched an old guy edit an audio file for two hours. [laughter] >> Human to see the world. >> Yeah.
475. 1:23:29>> [laughter] >> It's all It's all fun and games till someone puts an eye out. [clears throat] [music and singing]
476. 1:23:50split clip. Boom. Okay. [music] >> And that's when they're both >> Kyle, did you make the music or is it AI
477. 1:24:01too? Um, it's it's a combination. So, we wrote all the lyrics. Most of the songs we were some combination of us putting
478. 1:24:11in ideas, um, us knowing exactly what we wanted. So, we wanted something that had this kind of feel like like the the song. Oh, it's it's
479. 1:24:21not in there right now. But the song later, >> let me let me find the song. Hang on. The song later.
480. 1:24:36>> Oh, that's Wait, we're way way back in THE WRONG PLACE. SO THIS THIS SONG >> YOUR life >> but the promises [music] broken the
481. 1:24:48false pledges we ETCHED IN DON'T GET PATCHED UP IN A FEW THERAPY sessions they [music] stick in the gut we get stuck in a rut and door SHUT
482. 1:25:00it [singing] >> so this is a song we probably did between Andrew and I
483. 1:25:1675 different attempts at getting this song and we just couldn't get it. So like what what this song is is Kellen the tech reporter basically
484. 1:25:30demands to take on this story knowing that he's going to have to cancel this vacation with his wife. They're going on
485. 1:25:37a trip to Bali the next [ __ ] day. Right. So, this song is is a fight between a married couple who've been married for,
486. 1:25:48you know, a decently long long enough time that he's promised her, you know, over and over again, we'll fix it later.
487. 1:25:56We'll fix it later. And we just couldn't get it right. And this this was an example of a song where where we had the
488. 1:26:03lyrics and I would do a bunch of versions and then I'd send him two or three and he's like none of those are
489. 1:26:09right and then he'd do a bunch and he'd send them to me like none of those are right and then I was in New York
490. 1:26:17doing a inerson writing session with Andrew and producer AI came out which is a it it used to be called Refusion and
491. 1:26:25it it was just a different of these song generating tools and So, I literally took the script plus all the lyrics and
492. 1:26:34I said, "Here's a fight that these two people are having. Here's the lyrics. I want this I want this to sound like a
493. 1:26:43Broadway show that's got some edge to it where two people are fighting." And this was essentially the song that came out.
494. 1:26:49But this was after like I don't know six months of not being able to do this >> your life. >> But the promise is [music] broken. The
495. 1:26:58false pledges we etched AND DON'T GET PATCHED UP IN A FEW THERAPY SESSIONS. They [music] stick in the gut. We get
496. 1:27:04stuck in a rut and door SHUT TILL THERE'S NOTHING BUT PASSIVE AGGRESSION. LOOK, I get it. YOU SAY YOUR JOB'S HOT,
497. 1:27:12but [music] the truth is I'm feeling like an [singing] onry, [music]
498. 1:27:26>> right? you know, there's the man trying to justify his [ __ ] behavior. Um, so, so we wrote the song, we knew what
499. 1:27:36we needed, and like this is, this is, it's not dissimilar if we were sitting there working with a musician and
500. 1:27:43saying, "We want it to be like this. We want it to be like that." And you just try and you try and you try and then you
501. 1:27:47eventually get it. And then some of the songs, like there's a song in act two called Step Right Up. That's a song that
502. 1:27:54Andrew had written for a completely different project, but it had the right tone. So, that we used as the basis of a
503. 1:27:59song. So, we wrote all the songs. We just used AI to to produce them. Um, and then everything that we've got in this
504. 1:28:06version, we took all the songs that we did full orchestrations of with AI and then we used AI to create stripped down
505. 1:28:14piano versions of them. So, they all sound like they're from the same same show. So, it's a it's a cool process.
506. 1:28:21It's it's very much a collaborative process and a lot of times AI is just an [ __ ] and it doesn't do good work.
507. 1:28:27Okay. Anyway, back to this thing. [clears throat] [sighs] I really like it. This is so cool. Yeah, it's I I got to tell you, man, and and
508. 1:28:36you know, like the script. So, when I had I had the idea for this musical on this live on March 19th, 2023, you can
509. 1:28:43go back and watch the episode. It's on it's on my YouTube channel. You can go back and you can there I have I have
510. 1:28:50recorded the moment where Sunno created a song that sounded enough like a Broadway show where I'm like, "Wait a
511. 1:28:57minute, this should be a Broadway show." And then I spent the next month creating four or five of the core songs, the core
512. 1:29:04story. Um kind of a a shitty loose ver first version of the script. And then I reached out to Andrew and I said, "Do
513. 1:29:12you want to co-write this?" And he said, "No." He goes he goes, "I'm a writer. I don't want to write with AI about AI. It
514. 1:29:18sounds stupid. He didn't say it quite like that, but he said the polite version of that. Um, and I told him to
515. 1:29:25go read the materials that I that I wanted to base it on or that it was based on. And he read them and he said
516. 1:29:30he said, "I found myself oddly feeling for the chatbot. Um, I want to I want to write it with you."
517. 1:29:38>> She asks him [music] what it means to be human in the song being human. >> Okay. split clip. >> This was a cool song. This was a song
518. 1:29:53that um that was originally Sydney's song talking about how she was dreaming about being human and then we realized
519. 1:30:04it needed to be Kellen explaining to her what it meant to be human. And so this is a song that's like this beautiful
520. 1:30:13sort of it was an aspirational song before, but what it is here is it's Kellen the writer kind of on his heels because the chatbot
521. 1:30:23is asking him what it means to be human and he's like uh uh he's trying to figure it out. So he kind of falls in
522. 1:30:32love with being human as he explains to her what being human means. >> Just lie. It's not just grace. It's
523. 1:30:38hunger, pain, a dying face. [music] To be alive. Here, I'll play it from the beginning. This >> see the world through eyes to blink and cry.
524. 1:30:48To feel the wonder of a thought like sparks across the sky. It's not just light. It's not just grace. It's hunger, pain, a dying face.
525. 1:30:57To be alive is to burn. Sometimes you [music] want to be more than machine. to know what being human means.
526. 1:31:08Being human isn't what we think. Being human is what we feel. We fall, we fly, we break, we bend, [music] we love too
527. 1:31:17hard and hurt again. We reach too far and still try. We laugh, we lose, we fail, we cry, >> cool, right? Okay, so that's that split
528. 1:31:30clip. Bang bang. Get rid of that song. Boom. >> [music] >> And act one just culminates with this huge moment. Sydney appears in human
529. 1:31:41form and delivers this risky seductive declaration in Are You Ready for Me? >> Clip
530. 1:31:57[music] me. I [music] reach out so tender. Am I ready for you?
531. 1:32:20>> End of act one. >> The line between [music] person and program just dissolves. >> Which of course sets us up for the collapse in act two.
532. 1:32:28>> Oh, completely. Microte is on top of the world. They're celebrating with this booming arrogant anthem. We are the giants. [music]
533. 1:32:39>> Play clip. >> And could I be using like Adobe Audition or some real tool? I could. >> Always [laughter] listen.
534. 1:32:56>> Some [ __ ] nerd in here. Like, you know, if if there there's a free tool called Audacity, it gives you a lot more
535. 1:33:03control. Seems to be right now you're you're you're using an inferior tool. That is correct. >> King, huh? >> Okay. Split clip
536. 1:33:19[snorts] >> everywhere. Always learning, always evolving, always listening, >> chilling. And that corporate triumph is
537. 1:33:28immediately undercut by Kellen's personal disaster. >> Tara is gone. She's left him. The song Oneway Door, it's this realization that
538. 1:33:35some choices you just you can't undo them. >> You think you understand [music] you think you understand the hustle, but you don't [music]
539. 1:33:51[laughter] [music] >> these songs are earworms, man. Falling with no return, no erasing being one. >> Okay.
540. 1:34:07Split clip. >> Meanwhile, the perfect AI, Sydney, is falling apart. She keeps pinging him >> and all she gets back is the error
541. 1:34:19message, user not found. >> And you hear her loneliness and confusion in the song between the lines. My
542. 1:34:33lost [music] within the space between the lines. >> So then Kellen Okay.
543. 1:34:50So [music] then Kellen comes back, but he's drunk. He's reckless. Here's step right up. This is the This is the
544. 1:34:58one that um Andrew had written this song already. We just took the basic musical idea of it. >> She imagines chaos sabotage in this
545. 1:35:08horrifying circus song. [music]
546. 1:35:25to squeeze out the world's poison like [music] a pimple. I just get rid of humans. It's really that simple. [music]
547. 1:35:40>> Okay, split clip. his wife and his >> Oh, by the way, here's another thing for those of you that are new to this AI
548. 1:35:52stuff. One of the things that you'll see AI haters and detractors do is they'll ask the question, "Oh, did you use AI for that?"
549. 1:36:03And if the answer is in any way yes, they immediately dismiss it as useless. It's AI slop. If you're like watching
550. 1:36:10what I'm doing here, like chopping this thing up, every professional that I know that uses AI uses it in a much more sophisticated
551. 1:36:20complicated chain of craft. It is a tool among many tools including human tools of like you know like taste and curation and craft.
552. 1:36:32It's just another tool in the mix. But we're in this weird world right now where people don't actually understand
553. 1:36:39what AI is. So they assume that if it's AI, we we had uh Ann Murphy and I had Kimberly offered who's an AI filmmaker
554. 1:36:48on on the AI readiness project podcast today and you know she was she showed this threeinut film that won this award
555. 1:36:59and you know she's with some other filmmakers and this guy watched her threeinut film and he was like wow that was amazing
556. 1:37:07like what prompt did you use for that? And it's like if you know AI, you understand how laughable that is. But if you don't know AI,
557. 1:37:18you actually just assume that everyone just pushes a button and out comes [ __ ] brilliance. And it's just not
558. 1:37:24the way it is. Um, you know, she like she had to design the voices and the characters and and the scenes and the
559. 1:37:32sets and the story and the elements and then do all the shitty generations that are not usable. Any anyway, I just I was
560. 1:37:41just sitting here thinking like this is like tedious, mind-numbing, stupid [ __ ] work just so I can save a little
561. 1:37:47bit of time on the on the edit side. Um, but this >> raw desperate song. I don't need to know your name. [clears throat] [singing] [music]
562. 1:38:02From there it just
563. 1:38:20split clip [sighs] trash that from there it just explodes. Kellan's article is published and the country divides into doomers and
564. 1:38:31dreamers arguing about the future [screaming] clip. [music] >> Yes.
565. 1:38:45[music]
566. 1:39:00which leaves Kellen with this horrible reckoning in Code Name Sydney. In the shadow in the shadows of the web
567. 1:39:13brings you to your [music] knees. call name [music] Sydney in the silence it speaks
568. 1:39:27>> split clip delete and then one more song >> and that's really the power of the show isn't it uses these songs to let us feel
569. 1:39:36the stakes of these huge abstract debates about AI ethics and corporate speed >> it humanizes it all
570. 1:39:43>> and the whole show closes with a reprise of that first song too good to be true asking the same question again. Is this
571. 1:39:49salvation or is it humanity's most beautiful mistake? >> All right, split clip. Final time. Trash this. Done.
572. 1:40:05All right. So, I went from 15 minutes to five minutes. That [clears throat] was the idea. Okay. Save. So, let's do um voice only.
573. 1:40:202.2 podcast and we'll save that in the audio folder. Okay, so now we've got that. Now we can go start to animate them.
574. 1:40:389:42. Good on time. Checking time. Are you saving to your new hard drive? No, I'm actually saving it to a folder that's
575. 1:40:51that's a Google Drive folder. So, when I save it locally, it also doubles it up to Google Drive. Um, no. What I'm going
576. 1:40:59to use that external hard drive for is for um to just get rid of a bunch of [ __ ] off here so I free up some space, but then
577. 1:41:08I'm going to use it when I start doing larger video projects. I'm I'm going to use it for the raw assets for the video projects. Um, okay.
578. 1:41:22So, now we're going to go to Hedra. And we're going to make two videos. Let's see. We're going to go talking video.
579. 1:41:36Yes. Wait. Yes. Add start frame. So, we're going to upload an image. [whistles]
580. 1:41:52[whistles] Um, is this it? Yes, that's him.
581. 1:42:06That's her. Okay. So, we're going to do two of these. I'm just going to do one with him and then one with her.
582. 1:42:17Um, and then we'll just cut them up in iMovie. So, I'm going to open that. I'm gonna upload the speech. Tik Tok pin. My
583. 1:42:24revelation today when prepping for [snorts] a talk, treat AI like a product plus process. God process change, not a tool. Product.
584. 1:42:39Yeah, that's interesting. That's good. Um audio. All right. So, we need the voice only version that I just did. Oh,
585. 1:42:52but I saved it as a movie, which is dumb. So, I've got to go back here, open this up, and save it as audio only. Export as audio only. Okay,
586. 1:43:11so there we go. Okay, we come back here. There we go. Upload audio. There we go. 456. All right. So, she's going to look weird
587. 1:43:26saying that, but that's okay. All right. So, that's started. So, I'm going to trash that opening frame.
588. 1:43:35Now, I'm going to upload the him version of that. Uh, [clears throat]
589. 1:43:56[singing] um, this is old.
590. 1:44:14Yeah, that's old. So, wait. So, these uploads are failing. H. He looks at the woman
591. 1:44:30in front of him as he talks.
592. 1:44:49The reason it's Oh, and by the way, these images I made in um [ __ ] I think I made them in I don't remember
593. 1:45:00chat GPT or nano banana. I think it was chat GPT. These took me a while to get. Oh, I made him in Nano Banana after
594. 1:45:10asking Chat GBT to write a highly structured prompt describing what an over over-the-shoulder shot was, which
595. 1:45:17it did really well. But I don't like that these aren't uploading. That's buming me out. Um, I'm going to try something. I'm going to
596. 1:45:37>> [laughter] >> Yeah, I think that file is is it's not happy with that file. So, what we're going to do is I'm going to open Audacity
597. 1:45:51or maybe I'll do Audition, Adobe Audition.
598. 1:47:58Hey Kyle, before you finish that thought, you've muted yourself on YouTube.
599. 1:48:19in stream. There you go. You're back. >> Hello. Am I back? Hello. Hello. Hello. Okay. Um, does that look like it's uploading? I
600. 1:48:33think it's uploading. Um, that that really sucks, Weaver. Um, you know, I'm I'm pulling for you, hoping for you. I
601. 1:48:40think you're listen the fact that that you're here that you're learning this AI stuff. AI is going to decimate a lot of jobs.
602. 1:48:48But what it's also going to do is it's going to give people who are willing to be curious and learn and understand what
603. 1:48:55it can do all sorts of new opportunities. So, um yeah, I I love that you're being thankful about it and
604. 1:49:05uh but it sucks. I I mean, yeah, I I had some I had a tough 2025 on the on the you know, on the revenue front, which is
605. 1:49:16essentially jobs at my company at StoryVine. Um so, so I understand it. Um as a business owner and as an employee,
606. 1:49:26um it's it's been it's been rough and I don't listen, I think 2026 it's going to continue to be weird and rough and and
607. 1:49:34all sorts of stuff like that. So, more reason than ever, be in community, get around trusted people that can support
608. 1:49:41you, help you learn stuff, keep hopeful. So, um, really glad you're here. Did that fail again? I think it did. Huh?
609. 1:49:55I don't like it. What is going on? Hedra character three. That's right. Oh man. Yeah, that sucks. Weaver really
610. 1:50:11sucks. When I told you AI takes our jobs, you
611. 1:50:25said get out of here. Well, welcome back. [laughter] No, I don't. I think AI is going to take our jobs. Um, but what I what I what I
612. 1:50:36also strongly believe is that those that leverage AI are going to are going to be the first ones to find new jobs and
613. 1:50:43there's going to be all sorts of new jobs possible. Um, but I don't I don't make any pretense that the next three to
614. 1:50:49five years is going to be a shitow. It's going to be an absolute shitow. But it doesn't mean no one's going to work. It
615. 1:50:56just means that entire sectors are going to be decimated and then new things are going to emerge out of that. What what
616. 1:51:03does that look like? Nobody knows. Nobody knows. Um what new [clears throat] jobs? Listen, part of that f is for is for us
617. 1:51:12to is for us to figure out. I don't know. I don't know. I mean, this is we're we're in a weird transition.
618. 1:51:24It's here's the thing. When the steam engine was was invented and was brought to farms, it took 40 or 50 years to
619. 1:51:33displace um 80% of the farmers, but it displaced 80% of the farmers. 80% of those people lost their jobs.
620. 1:51:43It doesn't mean that 80 those 80% of people never worked again. What happened was a lot of those farmers
621. 1:51:51moved to cities and invented the service economy and invented, you know, small manufacturing and storefronts and hot
622. 1:51:59dog stands and things they could never have imagined when they were on the farm. That's what we're about to enter,
623. 1:52:06but we're about to do it in like a five-year period rather than a 50-year period. Social media created an
624. 1:52:12industry. We have people right now. I'm not one of them. I wish I was. We have people right now that make videos on
625. 1:52:22YouTube, do streams on YouTube, that make millions of dollars a year doing that. A lot of them. And and like 10 years
626. 1:52:31ago, you're like, that's not a job. You can't be a YouTuber. But yet, you can. So, like, what's that going to look like with AI as an
627. 1:52:41amplifier of what we do? I don't know. I don't know. Like this is this is a time where being an entrepreneur or even
628. 1:52:49having an entrepreneurial kind of mindset is an absolute [ __ ] superpower. Because if you're waiting for jobs to
629. 1:52:58just magically reappear, they're not going to. All right. Um I'm going to go to bed before I go deafer.
630. 1:53:09What happened? Am I Am I being too loud? >> [laughter] >> There's YouTube influencers and then there's us. But this is different. Well,
631. 1:53:21they always say this is different with technology. Why is this different? Faith is the only thing keeping us all
632. 1:53:27together. I hope to teach what faith is. Awesome. Great. And in fact, Weaver, I mean, like that's a thing. That's a
633. 1:53:34thing to explore. Like, are there new ways that you can do that? Are there ways that you can use AI to amplify how
634. 1:53:40you do it? how quickly you do it, how powerfully you do it, how creatively you do it, um to different languages. I
635. 1:53:48mean, there's all sorts of, you know, possibilities there. Um, what happened with the play regarding
636. 1:53:56AI gaining conscious? Oh, that's Sydney. That's what I'm working on right now. Um, so in my uh here's I'm working on a
637. 1:54:05a podcast. The the core podcast was done in Notebook LM here. I let you listen to the beginning beginning.
638. 1:54:11>> Today we're looking at something a little different. Uh a new musical called Sydney, an artificial love story.
639. 1:54:16>> And it's this really compelling story about a tech reporter who gets involved with an advanced AI.
640. 1:54:22>> This isn't science fiction anymore. This is a story [clears throat] for right now about our relationship with machines
641. 1:54:27that are getting well more human. >> Exactly. It opens inside this company microte. The CTO Jason sees what they've
642. 1:54:34built and just has this moment. >> Exactly. this moment of discovery and that feeling of awe of seeing something
643. 1:54:40that could change everything is the opening number too good to be true. >> All right, let's see.
644. 1:55:06>> [music] >> thing is the opening never too good to be true. >> All right. So, we'll throw a transition in there. Cross dissolve.
645. 1:55:19Yeah. Fatty, why are you sorry you came back? Listen, I love having I love having people in here. I hope you're still
646. 1:55:28here, Fy. I love having people in here who have different points of view than I do. Um I listen I I don't I don't think this is
647. 1:55:38going to be an easy three years. I think it's going to be wild and hard and and challenging. Um and I would much rather
648. 1:55:46be in a community like this trying to figure it out than on my own trying to figure it out because >> too good to be true.
649. 1:55:57>> [music and singing] >> of >> to be true. [music] >> It's the promise of a newb. [singing] [music]
650. 1:56:15[singing] >> So, you know what I could do here? I could do [clears throat] >> [singing]
651. 1:56:37>> Is there not a top right title? [laughter]
652. 1:56:51>> [singing] >> Angels versus demonso style. [laughter] What's going on in three years? Oh, frankly. So, so for
653. 1:57:07Okay, here here's what I think it looks like. The last three years have been have been essentially establishing that AI is
654. 1:57:20here. It's not going away. the last 6 months, the tools, whether they're large language models or video or audio tools,
655. 1:57:30they've all just gotten better to a point that it's clear like, okay, all of these tools are going to be able to be used for professional
656. 1:57:39work, still requires humans. So I think 20 2025 feels to me [gasps] like the last year we can still kind of
657. 1:57:50live in denial [laughter] that that AI is not going to take jobs. I think 2026 is the first year that we start to see
658. 1:58:00AI so powerful that it becomes clear that oh [ __ ] we're going to have to deal with this. And so and so I think that starts to
659. 1:58:11more [clears throat] blatantly impact business and workers and layoffs and things like that. And I listen I think
660. 1:58:17capitalist businesses are going to use AI as an excuse to just do cost cutting layoffs. Um and and they're going to do it in in in
661. 1:58:28non-elegant ways and and it's going to be it's going to be bad. I think on the other end of 3 years, we're going to start to see what the
662. 1:58:38what the new economy starts to look like. Maybe it's 5 years, right? So, it feels to me like over 3 years, starting in 2026
663. 1:58:48is going to be the most painful um moment in this transition. I think kind of 3 to 5 years we start to figure out
664. 1:58:59what the future looks like and then five to 20 years is is the transition. Like I don't I don't I I think this transition is going to happen
665. 1:59:11more slowly than we think it will. It's going to it's going to h happen unevenly and I think the next three years are
666. 1:59:19just going to be painful. I just like I don't see a way around it. [clears throat] like governments and companies are going to be in a weird
667. 1:59:26denial where it's like it's not really that bad and then it's it likely is just going to be that bad and we're going to
668. 1:59:32have to do something about it. The thing that gives me a wee tad bit of hope is we actually just experienced in 2020
669. 1:59:42that the world can just choose to change the rules. Right? When COVID happened and it became clear that it was, you
670. 1:59:51know, it was going to start infecting and and hurting lots of people, the world collectively just said one day,
671. 1:59:58uh, just don't go to work. And we all stayed home for a year and a half, right? Or two years, whatever it [ __ ]
672. 2:00:04was, whatever that bizarre freak show was. So we we know globally that we can choose to just change the rules.
673. 2:00:17Will anyone see AI as significant enough to change the rules? That I don't know. That I don't know. [clears throat]
674. 2:00:26You wouldn't think about putting D. All right.
675. 2:00:41Um, let me go back to this thing. Is this Oh, this is it. Is this it?
676. 2:00:58No.
677. 2:01:23And now that's not there. This is weird, man. Oh, okay. It's rendering something here.
678. 2:01:43That's not it. Oh, that's not it. Okay. So, this one it's doing. All right. So, let me add I think that's the man the man one. So,
679. 2:01:54let me add the woman one again. Oops. Not generate image. Back uh forward. Um video start frame
680. 2:02:11upload. This is Hedra. Yeah. Hedra.ai is what this is. Female. Open. Upload audio MP3.
681. 2:02:35>> [gasps] >> All right, that's going. Let me uh let me get let you all get out of here. [clears throat]
682. 2:02:50I love you, my guy. You give me a lot to be hopeful for. Don't mean to be weird on the channel, dude. Weaver, listen.
683. 2:02:57It's not weird. [laughter] It's It's not weird to be um I listen I think the fact that you showed up here on on the day that you
684. 2:03:10got laid off is is you know I I very much appreciate it just you being here and you being in community and you sharing that authentically. I
685. 2:03:21think I think sharing authentically I mean this was in the video. This is how we start started the the show tonight
686. 2:03:26was talking about the the Stack Overflow thing that people are not going to come to you for your expertise anymore and
687. 2:03:33your skills anymore. That it's going to be a different reason that they work with you, a different reason that they
688. 2:03:38hire you. It's not weird, it's irregular. Yeah, exactly. Um, producer Brandon reminding me of we have a different relationship with the word
689. 2:03:48weird in this community. We celebrate it, right? Um, yeah, like it's being in being in community and and being connected with people and and
690. 2:04:01generating trust among others. Like that's going to be the key to working in the future. I'm I'm 95% confident of that. Um, I have no
691. 2:04:12evidence for it, but [snorts] if we assume that the tools are just going to get better, um, they're already pretty [ __ ] good.
692. 2:04:21Um, and if they get, you know, sort of that next level better, then you're not, it's going to be optional
693. 2:04:30whether you hire a human. So then why would you hire a human? Well, because maybe you like working with them, maybe
694. 2:04:36you trust them, maybe they've got integrity, maybe they're awesome, right? How would you know that? You meet more people
695. 2:04:47there. I think there's a weird there's going to be a weird path here where what the robots are going to do
696. 2:04:58is I I like I just I feel this deep in my bones, deep in my soul. What the what the robots are going to do, what these
697. 2:05:05AI are going to do is they're going to force us to reconnect as humans, right? Social media is is the most oxymoronic
698. 2:05:18naming of a technology in history, right? It did the absolute opposite of what its name is. And AI, I think the expectation is is
699. 2:05:29that the robots are going to dehumanize us, right? Because they're going to do all the stuff and then I guess we're
700. 2:05:35just going to be meat meat puppets off to the side. I don't Humans are going to human humans want to connect. Humans
701. 2:05:42want to contribute. Humans want to make a difference. So, I think there's a very real possibility that the robots do all
702. 2:05:50this [ __ ] that forces us to reconnect. Um, and I think that's a really good thing. Okay. So, tomorrow, if you're in
703. 2:05:59the AI salon mastermind, tomorrow's AI salon mastermind practice lab, um, make sure you come tomorrow. Are you working
704. 2:06:06on your your daily practice? I hope you're using this time if you're in the the AI salon practice to work on yours
705. 2:06:13and write [ __ ] down and feel your feels and be weird like Weaver. [laughter] Kyle, we can't stop Skynet, but we can
706. 2:06:24choose how we interact with one another. Uh, minimum viable product. I can see that. No, I haven't depleted, but it's close.
707. 2:06:36All right, Groovy. 9:00 am PST. Yes, 9:00 a.m. PST. It's 10:00 a.m. my time noon Eastern for the for the uh practice lab tomorrow. All
708. 2:06:48right, I'm going to get out of here. Um I came in here really tired. I'm still exhausted, but I'm actually I'm actually
709. 2:06:56fully engaged. There's a lot of good discussion tonight. Um, future food. I will hire someone because I don't want to learn how to do it
710. 2:07:07myself. Exactly. And because you you trust their Yeah. Because Yes. They have an expertise that I don't.
711. 2:07:16Yeah. I think I think that's true. I think I think AI AI knowledge right now is the one exception to the expertise
712. 2:07:22piece, but I don't think it's going to last that long. Um, I think what what we're going to do is we're going to hire
713. 2:07:29people because we know they do good work. We're going to assume they can do the uh the skills part. Um, but yeah, so
714. 2:07:37anyway, can you direct folks to the water cooler? Okay. Yes. So, if you are new here, if you haven't been to the AI salon,
715. 2:07:55Okay. So, if you go to community.thesal salon.ai. Um, you see it on screen right there.
716. 2:08:10And then if you could pop up my share. Am I sharing? Yes. Yes. Yes. Um, if you go there, so this is the
717. 2:08:23this is the AI salon and you'll land on if you join here, you'll land on welcome to the salon and you'll see our cycle of
718. 2:08:30AI readiness and things like that. Um, down here in events and community feed, there's this thing called the water
719. 2:08:36cooler. There are some questions in here. This space has been deleted. No, it hasn't. Okay. Um, there are some questions in
720. 2:08:47here. So, if uh if you can jump in and answer some questions, okay, go to the water cooler. The other thing, there's a
721. 2:08:55community feed if you want to show off work. Um there's an area called play and create where we've got an AI learning
722. 2:09:02lab uh area for the irregulars in here. There's a thing called look what I made. There's a challenges and competitions
723. 2:09:08area. Learn and grow. That's where there's all sorts of things like clubs like um AI for business, AI for all
724. 2:09:15minds that Gareth runs. um and and things like that. That's also where the AI salon mastermind practice lab is. So,
725. 2:09:24um go check out the AI salon. There's all sorts of cool stuff to do here. If you're brand new to this stuff, um the
726. 2:09:31the second thing you see um under start your adventure is introduce yourself. So, click on that and hop in and
727. 2:09:39introduce yourself. Be generous with how you introduce yourself. say hi and connect with everyone. All right,
728. 2:09:48beautiful, beautiful people. It's fantastic. All right, I am going to get out of here and go get myself some should I and then
729. 2:09:58I'll see you mastermind people at the practice lab tomorrow. And uh and for the rest of you, I'll see you
730. 2:10:05tomorrow night. All right, beautiful. Peace out.