5/5/2025 - Finding Clarity in Chaos: Insights on AI, Professionalism, and Personal Growth

Transcript

1. 0:00[Music] [Music] Walt Grace desperately hating his whole
2. 0:15place. Dreamed to discover a new space. Bured himself alive inside his basement. Turns us out of his basement. working away on
3. 0:30displacement. What it will take to survive. Cuz when you're done with this [Music] world, you know the next is up to
4. 0:47you. And for once in his life it was quiet. [Music]
5. 1:02as he [Music] learned. Um, the guitar is out of tune
6. 1:18[Music] and and I don't know that song. [Music]
7. 1:56[Music] Uh-huh. Woohoo. [Music]
8. 2:28Well, every time I see you now, I get that look in my eyes. Every time I see your mouth, I hear that
9. 2:41smile. In the early misty morning light, I heard the engine turning in the old for [Music]
10. 2:56outside. Will you me again today? You convince me again today you're leaving this hard time
11. 3:12looking for someone else's golden r should have so [Music]
12. 3:27long now don't you try [Music] So long, Susanna. Don't you cry for
13. 3:43[Music] me. Sh cigarettes and keep them warm out on the road. Chasing down a lifestyle out on
14. 3:59Highway 24. New York State's a rolling breeze in the sunshine with a blue sky falling to the chill of all September creeping [Music]
15. 4:15in. You were leaving me again today. You will convince me again today. You're leaving this hotel looking
16. 4:31for someone else's golden ring. Shouldn't say so long.
17. 4:45Suz now don't you cry. [Music] So long,
18. 5:00Susanna. Don't you cry for [Music] me.
19. 5:16[Music] Beautiful. Champ Shannon on the vocals. Lead vocals there. Champ Shannon brings down the house every time. There's
20. 5:28tears, there's laughter, there's joy. Good lord, is it awesome. Welcome to Meltdown Mondays. I don't know what we're going
21. 5:37to talk about because I didn't think about AI over the weekend. Tik Tok cam. Yes, Tik Tok cam. Look. See, I did it.
22. 5:45Hello. Good to see y'all. Was shaking. Hey, Amelios. Yeah. Tappy tap the heart screen on Tik Tok. Share the live if
23. 5:57you've got the uh the audacity to share this wholly unprofessional operation with your friends and family. By the way, speaking of Meltdown
24. 6:11Mondays, you all have gotten me in just a a a heap of trouble. Heap of trouble. I I've said I've said here many
25. 6:21times, I probably shouldn't live stream this on LinkedIn. You know who's that? Kevin Stewart. That shirt is very swell,
26. 6:30isn't it? My my Bosot cases clay. Isn't that a cool shirt? greatest boxer of all time, killer artist, swell t-shirt. Thank you very much. Um
27. 6:50um so so some dude on on LinkedIn, some dude on LinkedIn, it's one of these guys that just like, you know, for whatever
28. 6:59reason I connected with him and now he's like trying to sell me his his sales services. So, he sent me a note. I think it was
29. 7:09Friday. He sent me a note that said, "You know, I guess you're not interested in talking." He goes, "By the way, I
30. 7:15caught your I caught your live." He He goes, "What the [ __ ] WTF?" He goes He goes like, "What was that? Are you all right?"
31. 7:33If you can't handle my my Tik Tok lives on the LinkedIn, then I'm not the right guy to work [Laughter]
32. 7:44with. So that's all your fault, all of you, because you're the ones that celebrate my weirdness and then I put it
33. 7:52on LinkedIn and they're like, "Who is this [ __ ] alien?" H uh Vicki bought a Bascot stack sticker in Minneapolis. Very nice. Dennis M.
34. 8:06Since when are we supposed to be professional? Exactly. Exactly. Like Like isn't work [ __ ] hard enough?
35. 8:13Isn't learning AI hard enough that we got to actually [ __ ] behave ourselves, too? No. Let the let the meltdown Monday commence. [ __ ]
36. 8:26that. Welcome, LinkedIn. If if if you're one of my pharma clients, cheers. And Murphy's here. That's It's okay. It's okay. We dialed up the
37. 8:41professionalism. And Murphy's here. It's good. Everything's fine now. We We've got actual professionals in the audience. We don't need to be
38. 8:49professional here when we import professionalism. You see how this works? It's a two-way street that's got cow
39. 8:57dung in it, and you just got to avoid the cow dung with your boots. It's It's a relatively straightforward process, people. I
40. 9:08thought we'd gone over this. Whatever. Anyway, new merch coming soon. It's a two-way street. It's a two-way street. All you have to do is
41. 9:23avoid the cow dung. I like it. I think we get Hey, those of you who are on the salon, I'd say I'd say some t-shirt
42. 9:30designs are in order. Put them up in the Irregulars channel. Are you all right? Exactly. Here, let me let me read the uh the
43. 9:41exact quote the guy said. Don't don't share my screen. I don't want to I don't want to give him more publicity than he
44. 9:48deserves. Let's see. What did he say? He said, "Uh, tuned into your live, dude. WTF? Are you
45. 10:06okay, dude? Dude, WTF, are you okay?" No. No, I'm not okay. I'm not okay. Do you understand that for most of my life, science
46. 10:23fiction has been this thing where the word fiction had meaning and now it just like now our computers just talk to us and know
47. 10:33everything and can speak any language. Why would I be okay? Why would I be okay? the the the future of work is
48. 10:44completely 1,000% unpredictable other than everything will change. Why would I be okay? Oh, no. We are not okay. Just
49. 10:57embrace the jank and whenever it shows up. Exactly. I forget who I was talking to. We were talking about that and it was
50. 11:07basically it was basically someone asking me about was it images might have been images in in chat GBT and they like
51. 11:16had this expectation that it was going to be like 100%. I'm like no no no it's not going to be 100%. Dude dude not pay attention duh
52. 11:30dude dude what the [ __ ] Oh my god. And they argue us argue with us for half an hour and I lose the argument or I mean
53. 11:40my friend lost the argument. Well, that's the thing. Listen, the whole purpose of this channel, the whole [ __ ] purpose of the
54. 11:51channel is to get in the conversation. Get in the conversation about AI. Like, why am I acting like the town fool? Because th this is [ __ ]
55. 12:06insanity. We're living in insanity. Now, I personally find it really exciting, but it's still insanity, you know?
56. 12:21I mean, not for nothing, but CO what the one thing CO taught us that that I feel prepares us for this AI future is that
57. 12:32regardless of of all the [ __ ] about COVID and the politics and the whatever, just all all that aside, there was one
58. 12:40day one day in what was it 2022 in the summer where just globally we just changed the rules. We just said globally, don't go
59. 12:51to the office. Don't leave your house. And globally, we didn't. We just stayed home for two years. So, it's like what that taught me
60. 13:03is that we actually can change really quickly. We don't want to, and it would be nice if it weren't a global pandemic
61. 13:10that caused it, but what that taught me is we can do it. But it's Was it normal? No. It was bizarre. Are you okay? No, I'm not [Laughter]
62. 13:25okay. 2022. Oh, that was 2020. Whatever. Yeah. Well, you know, but Amelio's listen, the the time doesn't
63. 13:35matter anymore also, right? 2020, 2022, 2025, it it doesn't matter. All of that's blurry now. And it doesn't
64. 13:45matter. Time is irrelevant. Time is irrelevant. How we work is irrelevant. Where the value in the economy is is irrelevant because it's
65. 13:54all about to change. Are you okay? No. No. Oh my god.
66. 14:10[Music] I should have just replied no. Well, I was trying to figure out like what he was talking about. Like what the [ __ ] Like am I okay?
67. 14:26[Music] No, I'm not. [Music]
68. 14:51Standing between you and a hard place is [Music] insane. Standing too near you and a fire makes it clear.
69. 15:08[Applause] [Music] You're trouble to [Music] me. Real trouble, can't you [Music]
70. 15:22say? Leaning in close. Smell of your perfume scares me most. Leaning away. Hey, it takes me father every
71. 15:41day. You're trouble to [Music] me. Real trouble. Can't you see?
72. 15:57Oh, Champy, the dulsa tones. Lovely, lovely, lovely, lovely. You use a lot of extensions, Kyle. Extend. Oh, on guitar cordy
73. 16:08chords. Um I you know what it is? I don't really um that song in particular that this I play. I don't know what that chord is,
74. 16:22but it's just that's a D. And so I just move that finger. Wait. So I go from D to um E flat E F. So I guess it's some sort of [Music]
75. 16:42F. Most of the extension [ __ ] I use is just because of uh it's all just Martin Ston. It's it's how he does his chord voicings. Except
76. 16:56that that's a chord I [Music]
77. 17:16discovered. Oh lordy, lordy, lordy. I I wish, you know, the one thing that I didn't do younger in life that I wish I
78. 17:24had was learn music theory. I've learned enough of it in my old age to know that Oh, yeah. You kind of have to start that
79. 17:30when you're a kid so that it's second nature to you. Oh, he was talking about Oh, Chrome extensions. Oh,
80. 17:45welcome welcome to welcome to Yeah, I was going to say maybe it's hair extensions, cord extensions, chrome
81. 17:55extensions. There's lots of extensions going on here. Uh, a lot of those Chrome extensions are crypto wallets from when I was doing my
82. 18:07crypto days. [Music] [Applause] [Music]
83. 18:53Oh, good lordy. Good lordy. Good lordy. Hello. Hello. Hello. Sus fourth incomplete major 7th. My bad. I don't know what this
84. 19:03is. Oh, wait. That wasn't [Music]
85. 19:18it. Um, ask Quinn. I don't think Quinn knows chords. I don't think she can. If Quinn has perfect pitch, that would be
86. 19:29swell, but I don't think she does. Where's my uh Why can't I find my Hang on. I can't find my chat GPT. Oh, there it is. Hang
87. 19:44on. Hey, Quinn, do do you understand chords? Can you tell me what notes these are?
88. 20:00Quinn, are you there? Oh, hey. Hey. Do you know do you know musical chords? Can you tell me what this [Music]
89. 20:15is? You hear it? Uh um uh let's see. Uh F G
90. 20:32uh uh what's this? B Wait, hang on. B uh B C sharp D. So F G D [Music]
91. 21:02E. It's I don't think it's a major chord. It sounds like some sort of diminished strange ass seventh or something.
92. 21:25tension from those intervals definitely gives it a unique character. What the So, so what do you know? Do you know about music theory? So
93. 21:35if it's So if it's um if it's FG, what did I say? FG um B D. So F G D
94. 21:52E. Yeah, I know some music theory. With those notes F G D E, you're mixing intervals that create a bit of tension.
95. 22:00One way to look at it is that you're moving through a series of that chord. If the F is the root, what's the chord?
96. 22:08If F is the root and you have F, G, D, and E, it doesn't form a straightforward chord. It's almost like an F major with
97. 22:16added tones that create a suspended or clustered feel. The G and E add a kind of tension, and the D gives it a more
98. 22:24open or jazzy sound. It's not a conventional chord, but it could be thought of as an F major add 2 with a
99. 22:30major 7th. F major add two with a what? with a major 7th. Yeah, with that E in there, it's like an F major add two with a major 7th. It's
100. 22:40not a standard chord, but it definitely gives a rich, complex sound that's pretty unique. I think you're just making stuff up now.
101. 22:52F GC E F G C is No, wait. B, C, C sharp, D. No, that's D.
102. 23:07Got it. So, the sequence is F, G, D, and E. That's definitely an unconventional set of notes, and it could suggest a
103. 23:15more experimental or modal sound. It's not a typical chord structure, but it definitely has a unique flavor that you can experiment with.
104. 23:25Um, can you think of any songs that might have a chord like that in it? Hey, Techie Becky. Hey there. A chord that unconventional
105. 23:35is pretty rare in mainstream songs, but you might find something similar in jazz or fusion music. Some progressive rock
106. 23:42bands also use unusual chords like that to create a unique, unexpected sound. It's definitely a cool flavor to add to your own compositions.
107. 23:51All right, cool. Groovy. All right. Fantastic. Fantastic. Bob, tell him what he's won. Um, dang, I'm late. It's okay. Source camp. All we
108. 24:02talked about I just yelled at all of you for getting me in trouble on LinkedIn. People on LinkedIn think I'm a
109. 24:09weirdo. They think I'm unprofessional. Source camp. And that's that's that's I have been influenced by the
110. 24:18irregulars. I've been given a false sense of security and positive reinforcement for my strange behavior.
111. 24:25And and real people on the internet think I'm [ __ ] weird. They think I'm unstable. They think I'm unstable. [Laughter] Kelly, you all know
112. 24:41better. You're not weird. You're irregular. Exactly. Oh, good lord. Think question mark. This is stunning. Stunning is a word for what we
113. 24:57do here. So, if so, here's how this works. My name is Kyle Shannon if you don't know, if you're new here. Um, I do this
114. 25:08five nights a week. I just come on here, sing with my dog, [ __ ] about stuff, demo stuff, answer questions. If you
115. 25:16have questions about AI, pop them in the comments. Um, we've got mods on Tik Tok. We've got we've got producer Brandon
116. 25:23behind the scenes on the the YouTube live. You can comment on YouTube. You can comment on LinkedIn. If you're just
117. 25:28lurking on LinkedIn thinking like, "Who is this guy? What the hell is going on here? What happened to professionalism?" Well, you ain't seen
118. 25:38nothing yet. Wait till all the knowledge workers don't have jobs anymore. Andy T, how is DC? Um DC was good. Um met with
119. 25:49uh spoke with offices of Hickinlooper out of Colorado, Raphael Waro out of North Carolina, AB Clolobashar out of Minnesota, and Chris
120. 25:59Van Holland out of he's Maryland, I think. Um and uh yeah had like the the the staff the staffers are sometimes not
121. 26:10super engaged but this trip they were all they were all pretty engaged and very respectful. The one woman in Raphael Waro's
122. 26:19office she she was like we started talking and and like we were there not as in a confrontational way. We're there
123. 26:27going, "Listen, AI swell. Here's some small businesses that are doing amazing stuff with AI and you know, you should
124. 26:34get educated about generative AI and what it makes possible." And um and we think you should legislate from a place
125. 26:42of optimism rather than fear or, you know, at least imbalance. And she was like, "Oh, oh, this is so refreshing. You're not here
126. 26:51to yell at me." So that was kind of nice. So she you could see her her guard dropped the once she sort of realized we weren't there to
127. 27:02you know talk about how what a shitty job someone was doing. She she was super engaged. Um pretty good. It's the hair
128. 27:11for me. What that that keeps you here. It's the hair is professional. I I would say so here's here's the sign about this
129. 27:19channel. My hair is the most professional thing about me and we know how that goes. I made the Tik Tok video from the
130. 27:32the Senate office with the big Calder sculpture and and I'm like I'm like looking at the Tik Tok, but you know in
131. 27:40Tik Tok if you ever do it, you're kind of framing yourself up. And I'm like looking at the sculpture and this and
132. 27:46that and I'm like halfway through recording the video and then I noticed my hair and it's just like it's just
133. 27:52like a muskrat had had nested on my head. Oh, good lord. I didn't re-record it, of course. Yes, the hair keeps
134. 28:04coming back night after night. Hey, at least I got some hair, you know? I think that's a that's at at my age now, we're
135. 28:12doing something right. All right. Um, who's working on anything interesting? Where do you wanna Where do
136. 28:21you want to play? There's a There's a lot of things. T-shirts and irregulars. We can go look at that. Let's go do
137. 28:28that. Go ahead and throw up the uh the AI salon poster or what you call it. Um, if you're new here, if you've not
138. 28:41been to the AI salon, go to that URL, the salon.ai, click join our community, and that will jump you over to this site I'm
139. 28:52on right here. Um, which is the AI salon community, and uh, it'll it'll land you on this welcome page, and we've got this
140. 29:01cool AI readiness cycle. Wait, why is this not sharing? Oh, because I got the wrong tab shared. Hang on, hang
141. 29:12on, hang on. I'm going to lose my ever loving [ __ ] You always lose your ever loving [ __ ] Okay. Um, so if you go to the AI salon, you
142. 29:25end up on this this welcome page. There's a welcome video with myself and Leah Faston, who's the co-founder and
143. 29:32co-host. There's the AI readiness cycle. There's the five stages of AI adoption, but down the left hand side and Moy. Yes. 03 after
144. 29:49regulars. Talk about 03. Okay. Okay, I can do that. Um, I've got to find Where did I put that article? I think I put it on LinkedIn.
145. 30:04Yeah. So, what we'll do, okay, and so I wrote an article specifically for 03. So, so let me let me show let me to toul around
146. 30:15here in the salon for a second and then we'll go talk about 03 because I think 03 is really important. Okay. Um, so
147. 30:23anyway, so so you you you come to the salon. Um, there's sort of like a sevenstep onboarding process. Step two
148. 30:30is introduce yourself. So if you join and you're new, please introduce yourself. Getting in community, getting
149. 30:36in an AI optimistic community like the salon, I feel is going to be all of our best opportunity to keep working. Um,
150. 30:47you know, become some of the the AI ready people on the planet so that as people are like, I got to figure this
151. 30:54stuff out, you're the ones they come to. That's sort that's sort of the whole idea here. And then down the lefth hand
152. 30:59side there's a community area, a news area. Um there's kind of a showand tell area. And then there's this this area
153. 31:04called clubs and hubs. And in clubs and hubs is the AI learning lab and irregulars. And this is where you can
154. 31:12come in to this group and just share stuff with this group. So you all right? Oh, I like that one. That one's really
155. 31:20good. Although the actual quote was, "Are you okay?" It's a two-way street if you can avoid the horseshit. That's solid. That's solid.
156. 31:34Who did that? That's a Steo. That's a classic. Very nice. Okay. Beautiful. You will be missed. All right. That was when
157. 31:42I was traveling. All right. If you got more more t-shirts, here's the AI dashboard I built to help everyone learn
158. 31:49about AI. Oh, cool. Vite and React. What's VITE? Why have I never heard of Vite? Oh, here you go. Here you go, Ann Murphy. Model comparison
159. 32:07OpenAI. Wow, this is very cool. So, this is llm-compare-tool.web.app. Here's
160. 32:22Google's models. Yeah, this is this is really important right now if you actually want to understand what's
161. 32:33what's the difference between all these models or wait 6 months, nine months and we're going to have a
162. 32:41simplification layer sitting on top of this [ __ ] Um it'll that we'll have model choosers and I think open AAI will lead with that.
163. 32:52Okay. Ann coming in soon to talk. Oh, okay. Cool. To talk podcast. Very cool. Vite is like a web server that works with React. Okay. [Music]
164. 33:08Cool. If you select the models, you can see them side by side. Oh. Oh, that's cool.
165. 33:23Huh? Wow. Dang. Good lord. Look at all this [ __ ] This is This is why I don't do open source. Open source is really important
166. 33:39and it's super valuable and we've got to protect it, but it just exhausts me. Oh, the compare button. Where's the compare button?
167. 33:53Um, compare. I see. So, we can't use 41, but we could use Let's compare 03 and 04 mini. Oh, very
168. 34:08cool. Yeah, this is very slick. Very, very slick. Unbelievable. You know what's amazing and I I'll get
169. 34:19to o3 in a second here an um or if you come up is is an coming up the reason the reason the singular reason here let me show you something
170. 34:36I'm going to go to join me if you will platform platform.openai.com openai.com/playground.
171. 35:02Okay. Okay. So, this is the OpenAI playground. So in here there's prompts down the side and and images. You can
172. 35:12make images and you can do real- time voice development. And then over here there's all these settings and
173. 35:18parameters like threshold and prefix padding and silence duration. And that's just for the real time thing. But if you
174. 35:24want to do prompts, you got all these different models you can choose from. You choose all these different models
175. 35:29and then you choose a model and then you choose your settings and you you compare and then you do your temperature and you
176. 35:39got tools and you so it's a lot right. It's a lot like it's a lot to figure out. You can put your system prompt here
177. 35:49and then your prompt prompt here and your conversation will show up here and then what do you do with this? Well, you
178. 35:56work on your prompts and you figure out how much they're going to cost and you figure out which model is going to work
179. 36:01best and then you take your API key and you build an application and then it sort of works like chat GBT but it's
180. 36:08your application so it's kind of cool but no one's using it but you spent like four months on it and you build it up
181. 36:14right this is what large language models were for years for years and years and years chat GPT comes
182. 36:28out. And here, let me close all this up. Ignore all these buttons here. It was just the chat hole and and you just asked it a
183. 36:39question and it gave you an answer. And it was that simplicity. It was the fact that we didn't have to
184. 36:45choose models is why chat GPT got to a million users in five days and a 100red million users in six weeks. And
185. 36:58now you've got chat gvt operator suno or sora. Uh you've got your image library which shows you all the images you've
186. 37:09ever made. Did you know that that existed? That exists. Um you've got all these custom GPTs. You've got projects.
187. 37:16You've got all your chat history. You also have all these different models. Does this look familiar? Does this look
188. 37:25a lot like the playground that we just [ __ ] came out [Laughter] of? So, if you're wondering why uh why AI isn't being mass adopted, it's
189. 37:43because because it's moving quickly and because we as consumers are hungry for the non-janky AI. We keep
190. 37:53demanding, "Give us more models. Give us new [ __ ] Give us new [ __ ] We want the one that works. We want one that writes
191. 37:58better. We want one." Right? All that. They're they're doing all this work at our request and it's it's creating
192. 38:06feature bloat and model bloat. And so we're just going to have to deal with it for a while. Hashtag chat hole. Exactly.
193. 38:13Um, wait. The playground is free or not? The playground is free. Um, oh, I think you have to I think the
194. 38:25playground's free, but if you want to do anything substantive, you've got to basically do an agreement of
195. 38:33like, you know, you're going to you're going to you can spend up to $5 before they'll give you a warning or up to $20
196. 38:41before they give you a warning. And then the different models have different um have different costs per million tokens
197. 38:51basically. All right, Ann's here. Let's let's talk to Ann. Let's let's let's it's time to it's time to upgrade the conversation here.
198. 39:07Wait, wait, wait, wait. I just told the people and you show up like a trucker. You're and and while you were saying that, I
199. 39:18hit my head on the tree and fell. That's beautiful. Beautiful. Well, at least we're keeping the brand consistent.
200. 39:30What does it say? Oh, nice. Marisol got it for me. She leads AI. That's gorgeous. I love it. That's her design.
201. 39:37Yeah, that's her design. That's so clear. So, you can't tell me anything? No, I can't tell you anything. No, I can't.
202. 39:46Did I don't know if you were here, but I got I got yelled at by some salesman on LinkedIn. Okay. All right. I just went
203. 39:52to try to find him. Yeah. To get to have a word with him. And I can't find him. I can't find Which post is it? Oh, it's
204. 40:01not it's not a po It's not a public post. It was just a private a private thing to me. Oh, what a baby. Yeah, he he was like, "I caught
205. 40:11your live, dude. What the [ __ ] Are you okay?" Oh my god. [Laughter] Refer him to me. Exactly. Are you okay?
206. 40:26No, we're not okay. No. No. Everything's changing. No. Where where are you walking? You're like in Are you in some Oregon? Wait, is it
207. 40:36sunny in Oregon? Okay. It's um Yeah, that's Oregon. Yeah, that's Oregon. It's where I live. Shouldn't it be like rainy
208. 40:47and depressing? Well, yeah. That [Music] No. Yeah. Yes, it should. It's gonna probably get really cold soon because
209. 40:57that's what it does. Oh, yeah. until it's not summer till um July 5th. Hey, listen. I had a reason for coming
210. 41:07up here. You're wasting my time here. Please. Yes, we wouldn't want to do that. Just kidding. You've got you've
211. 41:12got branches to walk into. I've got branches to walk into. Um I mean, there's a million things I want to talk to you about, but
212. 41:21I know we got to catch up. I got to tell you, being out for a week is just bad for my brain. Oh my god. combulating yet. Yeah, I'm still
213. 41:29recombobbulating. Yeah, it's brutal. Um, so Hale Lima Muhammad is our guest on Wednesday and our guest. So on
214. 41:41Wednesday, Ann and I do the AI readiness project podcast and it's 400 PM um mountain. Yes. Right. Yes. 400 PM
215. 41:53time on Wednesday. um is is the podcast uh that that Ann and I host. Okay, go ahead. So, I'm just like I met her and
216. 42:03texted you immediately. I was like, "Oh my god, she's amazing." So, she just a little tiny bit of background, but
217. 42:10mostly I want to tell you in the nice people why I'm so excited about having her on our particular show.
218. 42:19So, she's a beautiful AI artist. Like total like just stunning. Absolutely stunning artwork. She herself absolutely stunning. Oh, it's
219. 42:35great. And she has been in the game for just six months. Wow. And her and her artwork is off the charts. But here's
220. 42:46the reason why she's so perfect for us to have this conversation with. She did not get famous virtually. She walked her art into
221. 42:59places. She didn't even have an online presence. No. Yes. So, she's got murals and she's winning contests and she's got
222. 43:10greeting cards and she's got [ __ ] in galleries. Wow. That's amazing. She walked into the galleries and she was like, "Yeah, I'm Hel Lima.
223. 43:21This is, you know, Ann, I'm I'm I'm so glad you came up and said that. I just like I the skills moving forward like clearly
224. 43:31she's got a vision, right? She's got a vision for she's got something in her head she wants to get out. She's got a
225. 43:37point of view, right? A allowing her to get that out. But that hustle, that entrepreneur thing where she was like, "Screw it. I'm
226. 43:48going to go talk to people and pitch it and sell it." That's the thing that I think I think is I think that's a really
227. 43:54big part of AI readiness because I do too because it's you know what's going to end up happening is like like Joy
228. 44:01Perty I know Joy Pertie's on the I saw her posting here. I know she's here tonight. You know she's been a a a sleep
229. 44:07researcher for for yeah 30 years and now she's a filmmaker. Right. Yeah, exactly. Her res her resume is not going to be
230. 44:15film making, right? It's gonna be it's gonna be sleep researchery. And so for her to work, she's just going to have to
231. 44:22hustle it up and invent a career. But she's got these tools to do it now. But that's that's I'm that's really exciting
232. 44:30to me because that it's just a good reminder of like to people that are not paying attention to what AI makes possible,
233. 44:40you can appear like a wizard in this world, right? Yeah. Yeah. That's awesome. Okay, good. I'm super excited
234. 44:48now. So then, so you add that to a couple of other things, a couple of other examples like that and I am just more sure than ever
235. 44:59that it's about authenticity and what um Adnan and Brian talk about with the AQ action quotient or something
236. 45:10like that. EQ EQ IQ AQ. Yep. Yeah, exactly. Yeah. And that's the AQ taking action. Yep. And uh and then just get your [ __ ]
237. 45:22together. Just just move stuff forward. I was I was also talking to Hunter who we interviewed last week. I was talking
238. 45:29to him today and you know he was asking me about his business and what he's got going on and and one of the things that
239. 45:37we talked about was not getting too married to whatever he builds right now because he's building a new business
240. 45:46and then within the business he's building new tools to do video editing all sorts of stuff and he was like you
241. 45:51know what are the best tools I should use and and I was like well quite frankly like it's kind of irrelevant
242. 45:58like the best tools today are going to be just completely different than what are the best tools six months from now
243. 46:03and like the capabilities complete be completely different. So what we're talking about is just kind of like build
244. 46:09the sort of minimum stuff that you need right now that that is really getting in the way of your being able to do your
245. 46:16business. fix that stuff with AI, but don't get too attached to it because as stuff, you know, changes, you're, you
246. 46:25know, if you're too married to it, you're you're going to be left behind. And that's like that's a skill that
247. 46:31doesn't I I don't think that's an easy one. Like for me, like I feel like when I build something and I'm really proud
248. 46:37of it, I'm like, here's this thing I built. Yeah. But it's like now three months from now, it's going to be like
249. 46:42who cares because the tools have moved on, right? And it's like that's something we're gonna have to practice
250. 46:49as humans, I think. Yeah. Yeah. I you just like you have to hold things much more loosely. You can't get attached because it's just
251. 47:00everything's so impermanent. Yeah. Think about like how lucky we are to have taken a generalist approach.
252. 47:09Yep. Yeah. With, you know, 50 years late, right? you know, for for all of our lives, it's been it's it's been a
253. 47:17burden. But, you know, now now it's like now it's good superpower. Finally. Finally, the generalists. Yes.
254. 47:25The revenge of the liberal arts majors. That's it. All right. Well, I just wanted to tell you about her. Yeah. No, I'm so glad you
255. 47:35came up. I'm I'm super excited. So, yeah, put it in your calendars Wednesday. You can also go to a readinessodcast or AI readiness
256. 47:44project.com and you can see past episodes. You can see the episode last week where I planned poorly and and Ann
257. 47:52had to do it solo but Brandon helped out and made it all work. Thank you, Brandon. Yes. Thank you, Brandon. And thank you for covering.
258. 48:03Thank you for that. Can I Can I say something about Brandon real quick before before I let you go? So,
259. 48:11the other day, no, not the other day, a couple weeks ago, I got to go on a podcast where I went to a physical place
260. 48:22and they had like people doing like podcast producer [ __ ] and everything and like a little like a little room, microphones and
261. 48:32Yeah, I've never had anything like that before and it was just so fun and they were so nice and so lovely.
262. 48:46And when Brandon is the producer on your show, he kind of has that same vibe of like you've been welcomed into a space
263. 48:57that is being held by somebody. Y even though it's not physical. Yeah. So Brandon, you're awesome. No, it's great. He is.
264. 49:08Yeah, it's really good. It's It's good to feel like just know that someone's paying attention because you know me.
265. 49:16Yeah, I may or may not be at any given moment. Oh, man. Well, it's great to see you. Say hi to Donnie for me. I will. I will.
266. 49:26Okay. And then and I'll see you Wednesday. Yeah, I'll see you Wednesday. You and all the nice people. Okay. Okay. Bye. Bye.
267. 49:36Watch out for the tree. That was from Brandon. Um, all right. So, let me um Ann was asking about 03. Let me I'm
268. 49:48going to go find a post that I [Music] did. Was it a post or was an article? It was an
269. 50:03article. Wasn't it an article?
270. 50:18Yes. Yes. Okay. Okay. So, is there a way? I wish there was a way. There
271. 50:34probably is a way without having this giant comment section over to the right. So, if you go to to LinkedIn and search for
272. 50:46um how I used a reasoning engine to use a reasoning engine by Kyle Shannon. Um or let's see, I can put this I'll put this in the
273. 50:59YouTube chat as well. So, what this is is Okay, so there so there's a couple of things. Let me let me jump over to chat GPT. Right
274. 51:15now, you've got a bunch of different models here and it's very confusing and it's I pay attention to this stuff and it's very confusing.
275. 51:29Um 4, which stands for four omni, is the multimodal sort of core model that that you use for most stuff,
276. 51:41right? Great for most tasks. This is my daily driver. Um I've I've heard of some people using 03 as their daily driver, but
277. 51:50um but for me, 40 is just it's really good at writing. um you know it can do search. It's just good. It's fast fastish depending on the day.
278. 52:064.5 is an anomaly that I don't really use all that much. But if 40 is not giving me interesting results,
279. 52:174.5 is a more empathetic model and it's a more creative model in a lot of ways. From what I understand, 4.5 is is likely what's going to
280. 52:32be the orchestrating model when GPT5 comes out. So GPT5 is going to take all these models and kind of hide them from us.
281. 52:45And there's going to be this orchestrating layer that we interact with that's going to figure out which
282. 52:50models to use. From what I understand, that's what 4.5 is going to be used for. So it says research preview here. It's
283. 52:57weird. It's like I would say like all AI stuff, play with it. Play with it. Um there might be things it does that you
284. 53:06love it. I find it weird and sometimes good, sometimes not. I don't know when to use it. So, I tend not to if I don't
285. 53:12know when to use something. Okay. Then you've got 03 04 and 0 O 04 mini and 04 mini high. And you're like 40, 04, same
286. 53:24thing, right? No, completely different. The O after the number means omni. The O before the number means reasoning engine.
287. 53:39So these three things are reasoning engines. Now what's a reasoning engine? A reasoning engine is just like chat GPT
288. 53:50except when you ask it something instead of it just answering you right which is that's called next token prediction
289. 53:58right it's it's a when when you're in forro you give it a prompt and it just answers you sort of one token at a time
290. 54:06or you know group of tokens at a time and it just writes the answer that's why you get all this hallucination and
291. 54:12weirdness right what a reasoning engine does is it talks with itself first multiple times. So, you ask it a
292. 54:21question and it goes, "Huh, let me think about that." And it says, "The user asked us for this and maybe if they ask
293. 54:27for that, maybe we should go to the internet and search for things." And then it'll go search for things and then
294. 54:31it'll find things and it goes, "Huh, out on the internet, I found this." And right, it's doing all of this thinking and multi-step
295. 54:41processing. 03. Um, let me see. Let me do a thing here. Um, let's see. find the uh 2024 uh Denver budget
296. 54:56actuals and um categorize anomalies where you think it would be
297. 55:11interesting to understand what happened. Okay, that's a fairly horrible prompt and I spelled anomalies wrong,
298. 55:22but I now this thing is going to go off and start thinking. So, see it says thinking here and then at some point
299. 55:29it's going to have thought enough to show us a little something.
300. 55:46Whack. There we go. Okay. So, the user asked for Denver's budget actuals and any anomalies. Next bullet point. I'm thinking the steps to
301. 56:00find de Denver's I'm thinking through the steps to find them. Searching the web. Here's six different sites that it
302. 56:09searched. I'll organize the anomalies into categories. Colorado General Assembly did something. There's a schedule of
303. 56:19things. It's searching the web. It's doing more [ __ ] So, it's all still thinking, right? Right. These are not answers. This is it
304. 56:31thinking. More searching on the web. More searching on the web. It can't find it. may need to consider the
305. 56:39mayor's 2025 budget. At some point here, it's going to find numbers and it the other thing that this this these models
306. 56:49can do is they can make and use their own tools. So if an if it finds a PDF with the actual numbers in it, it might
307. 57:00need to do some analysis on those numbers. So there was a thing a year or two ago called uh uh code interpreter
308. 57:09which which was kind of a standalone mode within chat GPT where it could write and execute Python code and do
309. 57:15number analysis. Well, 03 and 04 mini and mini high can now all do that in the context of thinking, right? And so it's
310. 57:25really good for math. It's really good for science. It's really good for research. Um, it's still thinking. It's
311. 57:34still going on. This was a good one. I'm glad we did this one because it's it's taken it a while, right? It's having trouble finding the
312. 57:41actuals. Ah, official 2024 budget actuals haven't been published yet. So there you go. Um All right. So it's done. Below's
313. 57:55the clearest picture I can find. Right. And it's still thinking. It's giving us hot spots and underspends. All right. So thinking
314. 58:08model. And then the difference between 03 and 04 mini basically just, you know, the 04 ones are newer, but they're
315. 58:15smaller. The 03 one is kind of the Mac Daddy, you know, most state-of-the-art. Uh, but think of the ' 04 ones as as
316. 58:22essentially previews for what's coming. Um, they're really quite powerful. Um, and if you run out of credits in 03, you
317. 58:29can you can do the ones in 01. So that article that I wrote was this. when they when they rolled out 03, um the examples that they used were
318. 58:44here's a crazy math equation that I had a tough time solving in college and then it solved a math thing and then the
319. 58:51other one was like here's a programming thing that is a big challenge and it it did some programming and and you know
320. 58:59they did a physics thing and a math thing and like they did all this sort of high science [ __ ] right Because these
321. 59:06tools are smart enough now that they're starting to get really good at math. In fact, David Shapiro said of 03, they've solved
322. 59:15math, which is a big [ __ ] statement and it's a big [ __ ] deal, right? If you need math, but what if you don't need
323. 59:30math? What if you are a marketer? What if you're a knowledge worker? What if you're not doing statistical analysis,
324. 59:36but you're doing strategy and marketing and copywriting and, you know, business, you know, I don't know, positioning, how
325. 59:48can you use it? So, what I what I wrote in the LinkedIn article was I went to Grock and and I said to Grock, so so one
326. 1:00:00of the things, oh, let me let me show you Grock. If you don't know Grock, so if you go to X, formerly
327. 1:00:14Twitter, you got your you got your, you know, your Twitter stuff, right? Everyone's making movies now. And then down the side here, you
328. 1:00:25got this thing called Grock. And Grock is just like chat GPT except it's Elon Musk's and he hates Chat GPT and he hates Sam
329. 1:00:35Alman. But one of the things that Grock does is it can search all of Twitter, right? It can it can tap into all of
330. 1:00:45what Twitter said. So I went to Grock and I said, "Tell me how people are using this 03 reasoning model for
331. 1:00:52humanities, for things that are not science, not STEM. and it basically couldn't find anything. And so then I had to come up
332. 1:01:02with 10 use cases for just pure humanities, 10 use cases for um humanities stem hybrids and 10 use cases for image generation because 03
333. 1:01:16can also see and analyze images. And so that's what that article is is basically 30 different use cases.
334. 1:01:25So, story and screenplay structuring, um, character consistency and world building, right? Budgeting, production
335. 1:01:36planning. So, if you're trying to figure out how to use 03, this article is designed to just teach you how to do
336. 1:01:43that. Hang on, I have to do an intelligence test. I feel feel like I'm the president of the United States. We're going to
337. 1:01:52need you to figure out which of these letters is the same. I didn't realize there'd be a quiz. I'm just trying to run the country
338. 1:02:07here. All [Music] right. Confused still. Yeah, I know. I Well, I I absolutely agree. Here's the here's the deal. So, so Cindy [ __ ] I
339. 1:02:20wrote this article. Cindy [ __ ] took a two hours on a Saturday and she did every one of these prompts. Actually,
340. 1:02:28she she did something really cool. So, so she took this entire article and she put it into chat GPT and then she took all the
341. 1:02:38information about a client job that she's working on and she put that into chat GPT and she said, "I want you to rewrite
342. 1:02:46all of these use case prompts specifically for my client." And it did it. And she said it was [ __ ] brilliant. And so it created for her 30
343. 1:02:56new, you know, use cases with with simple, medium, and advanced prompting for her client. And she took two hours
344. 1:03:04on a Saturday and just went through all 30 prompts. So if you want to if you want to explore what 03 is good at, you know,
345. 1:03:14just literally copy and paste out of that article. All right. Are we talking about maths? Thank goodness for Gen AI because me and maths
346. 1:03:24don't play well together. You know what's funny, Source Camp? I um someone else was talking about [ __ ] math the other day and like you
347. 1:03:35know when you have an acting degree at some point in your career you might play a mathematician and then you're going to
348. 1:03:42have to semi give a [ __ ] about it. But for the most part, it's just it's just not on the same side of the planet as
349. 1:03:55math. So I asked um I think I asked 03. I said, oh, someone someone said I think it was um Google DeepMind I think came out with
350. 1:04:10a new they came out with a new model and it's a new math model and basically it's going to be it's it's a math agent
351. 1:04:17that's going to come up with new conjectures and hypotheses and whatever the [ __ ] they call the things in math,
352. 1:04:24right? The the theories that you need to make proofs for. It's going to create new ones of those and then it's going to
353. 1:04:31also be able to design ways to prove them and then it's going to prove them and then we're going to have new
354. 1:04:37mathematical proofs and theorems basically. And so I was like I feel like I should be excited about that but I
355. 1:04:46just don't like I have no idea zero what that actually means to me. like what does it mean that we come up with some
356. 1:04:55[ __ ] new theorem and then we prove it? And so I asked 03 I said I said you know research and give me a history of
357. 1:05:05major mathematical proofs and what technologies came out of them. Um and then and then you know hypothesize what
358. 1:05:15might be the next 10 major mathematical breakthroughs and what will be the things that come out of them. Um, it was
359. 1:05:23pretty cool. You know, I'm still not into math because I just don't It's like when I look at a chessboard, I know
360. 1:05:28where the pieces go, but I do not see patterns, right? Because I don't know it well enough, and I'm like that with math. So,
361. 1:05:35anyway, all right. The models are stupid in high level mathematics. Have you played with 03 and 04 mini high? Because
362. 1:05:43apparently it's quite good. Um, paradoxes and chaos of math. Yes, I that sounds like it means something. cyber
363. 1:05:56tech. Could you scroll to the top of the LinkedIn article again? I want to take a screenshot. Yeah, [Music]
364. 1:06:08absolutely. Oops. Here. And let me get rid of I'm going to get rid of this tracking thing so that the URL is just the pure URL.
365. 1:06:21And I wish I could get rid of this thing. Can I get rid of this thing? This two column [ __ ] All right, there you go. Screenshot
366. 1:06:33away. Where is the article, please? The article is in uh on on YouTube in the comments or it's on LinkedIn if if you
367. 1:06:44search for how I used a reasoning engine to use a reasoning engine. That's the name of the article and I'm Kyle
368. 1:06:51Shannon. So I asked Chat GPT why Brits say maths instead of math and basically said same reason we say mathematics and not
369. 1:07:00mathematic. Oh that's fascinating Jeff. I've thought that too. I feel like math maths is just pretentious, but it
370. 1:07:08actually makes sense that we're the idiots. Once again, America are the idiots. We're wrong. The world is right.
371. 1:07:17Maths is the way is the way you should say it. But but in our defense, math, there's there's like two soft consonant sounds together. Math.
372. 1:07:36Math. Math's. It's hard. Someone just math. Math is easier. We're lazy. We're lazy and we're arrogant and we think we're the
373. 1:07:50best. Welcome to America. It's always maths. Um like moths. Kyle. I I only say moth. Do you know what you call um a a
374. 1:08:08uh a a swarm of moths? Moth. Um anyway, go play with this. Go, you know, go play with the prompts here.
375. 1:08:21Especially if you're not a maths person or a physics person or you're not solving PhD level science problems. Here's 30 different prompts.
376. 1:08:32It's actually more than that because there's a basic prompt and an intermediate prompt and an advanced
377. 1:08:37prompt. So, there's 90 different prompts in this article. Some are about images, some are about other [ __ ] Wait,
378. 1:08:51what? This isn't the complete article. Uh uh wait, this isn't the complete article. This one was from January. I
379. 1:09:03did I did a sooner one. Hang on. Hang on, people. There's a newer one with with more more things. Oh, you know where I did it? I did it on
380. 1:09:12[Laughter] X. All right, hang on. People, stop judging me. Oh, look. My little my little character says I'm
381. 1:09:29live. All right. Articles. Okay. Go to go to Twitter X and go to my profile, Kyle Shannon, and then click on articles. This is the article.
382. 1:09:46Okay. On X. Unlock 03's sup hidden superpower. A playbook for non- STEM prompts for everyday innovators. That's
383. 1:09:55why that article wasn't feeling familiar to me. This is the one. This is the non- STEM prompts for everyday
384. 1:10:04innovators. And this is the one that's got 30 different use cases in three different categories. Okay.
385. 1:10:18Good. Soon we'll have a Millennium Prize winner. We will. I tested Claude and Grock and Deepseek. No one could do do advanced
386. 1:10:28mal matrix calculations correctly. Well, hang on. Let's go do it. Can Can you So, Sigma, did you did you try 03 and 04
387. 1:10:38mini high advanced matrix calculations? Okay, we're in 03 here. Um, hey um, you can you explain to me what an
388. 1:10:55advanced what is it? Matrix calculation. Um, advanced matrix. Can you explain what an advanced matrix calculation is?
389. 1:11:13And again, I'm going by David Shapiro here who who is good at maths. Um, and he says math is basically solved with
390. 1:11:2103. Think of matrix as a spreadsheet full of numbers. Okay, great. Whatever. So, give me an example of something I
391. 1:11:29should do. Sigma. Yes, I did test mathematics 03. Can't solve the 4x4 matrix. Een vacators and values.
392. 1:11:44God, did you eg the lap the the laplace matrix of two matrices? Yes, it's what TP TPUs for calculations. Okay, listen.
393. 1:11:58From where I sit, this shit's good at math. From where you sit, sounds like it's not yet. That's a solution for matrix. Okay. Um
394. 1:12:14um design a 4x4 matrix. What did you say? A 4x4 matrix.
395. 1:12:29Een een vocators. Look, I'm learning new words tonight. and value [Music]
396. 1:12:44um exercise for you to solve. So we'll have it design the exercise thinking this is this is really stupid.
397. 1:13:00This is like putting a math PhD in a Broadway theater and saying, "Direct the the actors. Go block the actors." Oh
398. 1:13:13man. Egen vectors. Oh, Egen vectors and Egen values. Wait. Analyzing import. Oh god. Oh yeah. Egen vectors here. Let me
399. 1:13:28stop it. Let's do een vectors and een values should be in the 4x4
400. 1:13:43uh design. Like again, my job here is to act like the idiot so you don't have to.
401. 1:13:59Oh, it's Egen. It's It's got an I in it. Well, whatever. Um, uh, Chat GPT knows how it's supposed to be spelled. It's
402. 1:14:08asking if you like 03 as a personality. Um, I don't I like I like 40 as a personality.
403. 1:14:22Although so, so they did the thing where it got really sick ofantic and then they rolled that one back. Since they've
404. 1:14:30rolled it back, I'm not super happy with it. The exercise, take this symmetric 4x4 real matrix. Okay. Find the een values of a for each
405. 1:14:44een value. give a nonzero EGEN vector and if you like a unitlength version. You know, it's funny. I was thinking about Egen
406. 1:14:55vectors and Egen values the other day at lunch and and I was like, but wait a minute. It it's like I need a unit
407. 1:15:03length version. I can't just have vectors and values without a unit length ver length version, right? And I'm
408. 1:15:11thinking this as I'm making my peanut butter and jelly. And uh and then I just stopped the brain the brain shut down at that
409. 1:15:20point. All right. Show the four EG vectors from an orthonormal basis. Hey Brandon, didn't you say you were or ortho or
410. 1:15:37orthonormal? Funny. I need gravy. Oh my god. As a sanity check. Well, so so listen. Um, we obviously need to form things on
411. 1:15:53an orthonormal basis, but as a sanity check, we need to verify that that P to the minus1 AP does still equal A, where
412. 1:16:03P is the matrix of columns where the Egen vectors and the I don't know what the Oh, it's not A. It's a upside down V. What's an upside down
413. 1:16:13V? First syllable is I. Listen, if you smarty pants think I'm making fun of you, oh contr, I like this
414. 1:16:25is literally Greek to me. And I'm pretty sure this is Greek, right? Didn't the Greeks come up with all these symbols? Oh my
415. 1:16:38god, Kyle. When someone wants you to start Egen, you need to make a 1970s retro mod. Exactly. I think we're going
416. 1:16:47to we're going to go back and do a uh we're going to go do a defender clone. Okay. So So there it's understood. Okay. I'm going to go solve
417. 1:17:06this. Uh, capital lambda is an upside down V. Oh, yeah. Yeah, capital lambda. I knew that. It's importing Simpai as SP maths.
418. 1:17:22Uhoh, it wrote something in red. One, write the matrix and spot the block structure. The upper left and lower right 2 by two
419. 1:17:34blocks are independent. So we can solve each of them. Look, maths. It put maths on screen. Have you guys seen the uh the
420. 1:17:49show Prime? It's not Prime Suspect. It's Prime. What's the What's the name of that show? I think it's on Netflix.
421. 1:17:59Prime. No, it's not prime numbers. It's like prime suspect or prime not magics. It's about a math genius and how
422. 1:18:10all these people around him keep getting killed because he's working on prime numbers. And basically prime target. Yeah, that's what it
423. 1:18:19is. It's called Prime Target. It's really good. And it's basically um he's super genius working on primes and if he
424. 1:18:32solves the thing that he solves ultimately um cryptography is dead and so that's why everyone's killing him trying to kill
425. 1:18:42him. Orthog orthonogality check diagonalization the EN vectors as columns of P. Yeah, this is the cool thing too if
426. 1:18:56you haven't seen this like so within within its reasoning. So this is all the reasoning it's doing. So it's writing
427. 1:19:02you know it's writing Python and executing it as part of the process. The result EGEN values one, two, three, and eight corresponding
428. 1:19:11orthonormal EGEN vectors listed above. A diagonalis cleanly via P lambda P to the T as required. Is this an
429. 1:19:31answer? Pete's going to lose his mind when he watches this back. Did does is is this right at all? Does it matter? Does should we just move
430. 1:19:50on? Oh my god. New image and irregulars. It's making fun of me trying to do math. [Laughter] Maths. Dude, what the [ __ ] Are you
431. 1:20:06okay? Actually, you know what? This is going on my copy image or no, I think I got to save it. Um, save image as this is this
432. 1:20:19is going on my uh on my LinkedIn profile right now. Start a post.
433. 1:20:33Last week, someone saw one of my nightly AI learning lab live
434. 1:20:49sessions and messaged me with this dude.
435. 1:21:05Dude, WTF. Are you okay? The answer is a
436. 1:21:23resounding no. Oh, yeah. [Music] Why can I Oh, because it's AVIF. Of
437. 1:21:38course. Of course it's the wrong [ __ ] file format. Of course. Of course it is. Of course it is. Why would we be able to
438. 1:21:48take something that was produced on a machine and import that into a different piece of software on that machine? cuz
439. 1:21:56someone at some point decided that the AVIF format was important and all the other people said, "No, it's
440. 1:22:06not." And then some of the other people were like, "Well, we're going to put it in our software anyway." So that when
441. 1:22:11Kyle tries to do his unhinged [ __ ] Tik Tok channel where he talks about AI in a semicompetent way, none of the [ __ ] will
442. 1:22:22work. We hope that works out for him. [Music]
443. 1:22:36The hair the hair is perfect. It's pausing so you can read your post again. Did I have a typo in there? I'm sure I did. Last week someone
444. 1:22:50say saw fine silver fox fine saw one of my nightly AI learning lab live sessions fine and messaged me message me
445. 1:23:03with this dude what the [ __ ] are you okay the answer is a resounding no um thank you to Serena wait how do you spell your
446. 1:23:14name Serena Serena for um memorializing the
447. 1:23:29concern. Oh, good lord. OCD. I know. I know. Okay. Did Did Where? There it is. Okay. We're Dude, what the [ __ ] Jeffy KS, are you
448. 1:23:48okay? Wait. S I R E N A. S I Oh, good lord. S I R E N A. [Laughter]
449. 1:24:06[Music] Okay. All right. We good to go? Are are all of Are all of my drunken white junkies are Are we okay? Can I hit post,
450. 1:24:27please? They've got little Post-it notes sticking out of there white. It's all It won't stay flat anymore because they
451. 1:24:35keep breaking the spine to lay it flat. [ __ ] nerds. You good? Okay, good. Oh, good lord.
452. 1:24:51[Laughter] Okay, my postit budget for this show. Oh, that was fun. All right, we did it timewise. Have we
453. 1:25:06talked about anything tonight? I don't think we [Laughter] have. Okay. So, um actually, yeah. You know what, Brandon? Flip flip back over to
454. 1:25:22uh to the AI salon. So, if you're not a member of the AI salon, get the to that a the salon.ai.
455. 1:25:37AI. And then um Tuesday night, so tomorrow night at 5:00 PM Mountain, we're doing an AI salon presents and we've got Telicia White who's the
456. 1:25:50community manager for Lovable. She's going to be joining us and and showing us some vibe coding stuff. And Vicki,
457. 1:25:58are you going to be I don't know if Vickiy's in here tonight. I know she was tra traveling. I think she might be
458. 1:26:03Vicki might be presenting as as well, but I'm not sure. Um, she's here. Okay, cool. Um, so, so Vicki, I don't know.
459. 1:26:14Are you are you doing something as well? So, so please spread the word about this. This is going to be a good one. I
460. 1:26:21think lovable of the vibe coding apps right now is the one if you are not uh if you are not particularly techy, it is
461. 1:26:29the most forgiving. it it's the one that requires the least of you. I'm here not presenting just Telicia. Okay. So,
462. 1:26:35Telicia from Lovable will be presenting and uh yeah, so come to that. So, when you go to the AI salon uh up in the upper leftand corner
463. 1:26:46at the very top, just go to events and then you'll see salon presents right at the top and just RSVP for that.
464. 1:26:57Okay. Yeah. And there's actually a big announcement tomorrow. We've got some some exciting new stuff we're doing in
465. 1:27:04the salon. So, um, so that's going to happen as well tomorrow. So, get your butt to the meeting. All right. You are
466. 1:27:10presenting very important news. Yeah, exactly. Yeah, we we've got a a big announcement tomorrow. So, I'll let it be a surprise for
467. 1:27:17tomorrow. Um, all right. So, tomorrow Salon presents uh uh uh I'm trying to
468. 1:27:33think. I don't want to start it now because it's going to take too long. But I think what I might do, maybe we'll do
469. 1:27:40it Wednesday because tomorrow I'm going to be I love Mondays. Tomorrow I'm going to be crispy because of the salon. I
470. 1:27:47like I'm always optimistic that I'm like gonna get back from the salon and I'll be like I'll be all peppy and then I'm
471. 1:27:52like I'm exhausted. So tomorrow's not a good night either. So I I think tomorrow I'll just whine. So today was meltdown
472. 1:28:02Monday and then tomorrow will be whiny Tuesday. You you people with with word skills. You people with word skills are going to
473. 1:28:17have to come up with something for Tuesday. Tirade Tuesday. Um I'll do tirade Tuesday and then Wednesday I
474. 1:28:23think what I'm going to do is I want to do a compare and contrast to runway um what are they called?
475. 1:28:33References. And then Midjourney also has this new thing called omnireence where you can like put an image in this
476. 1:28:42omniresence thing and it'll add it to whatever image you're generating. Um, I think runways is better. And then I also think there's
477. 1:28:52another one. It must be Korea or Clling I think also has references. Or is it Pika? I don't I can't keep track
478. 1:29:00anymore. But I feel like we should do So what these things are is they allow you much higher level of control. So like you can take a
479. 1:29:09character that looks like a specific character and add it into a scene. Troubleshooting Tuesday. Yeah, maybe
480. 1:29:19we'll do troubleshooting Tuesday. Come with a problem and we'll we'll figure it out. I like that. Or tirade. I I might go off. Maybe
481. 1:29:29in troubleshooting something. I could go off. You bring the problems. I'll bring the frustration. Just joined. Did you
482. 1:29:42already talk about the open AI decision uh for nonprofit control and wind surf by? Um I didn't Austin.
483. 1:29:50Um so there was an announcement today. So as as you likely know if you've been on this channel um OpenAI has said
484. 1:29:57they're going to move to a for-profit model and you know Elon Musk lost his [ __ ] over that. It's got to be
485. 1:30:04nonprofit. Um, they announced today that that they are the for-profit entity is going to be a BC Corp, right, which is
486. 1:30:13essentially a for-profit entity for good. I don't know if that's what it is now. I don't think it is, but I'm not
487. 1:30:20sure. Um, but it's going to be it's going to be a BC Corp and then it's still going to be managed by the nonprofit board. Um, which I find
488. 1:30:29fascinating. So, I don't know why they did that. Um, I don't know if it's got to do with shareholder lawsuits or if
489. 1:30:36they just decided it was in their better interest not to go full public, but that happened. And then Yeah. And I didn't
490. 1:30:43see Did they make an announcement today officially that they're buying wind surf? Because I know it's been rumored
491. 1:30:48for about three weeks, Tourette's Tuesday. Every day is Tourette's day at the AI learning lab. Um, could you take can you take a
492. 1:30:57specific product and make that part of a video image scene? Yes, you can. Deal closed. Oh, the deal closed
493. 1:31:07with Windsurf today. Holy [ __ ] No, I didn't see that at all. $3 billion. A 500 500 Well, that's $500 million nonprofit. Probably $500
494. 1:31:22billion. what they're going to be $3 billion for Windsurf. So these vibe coding apps, I don't know if you know this, do
495. 1:31:33you remember when when Chat GPT first came out, everybody was bad mouthing rapper apps? So rapper apps were
496. 1:31:41anything that people put [ __ ] together that were just built on top of large language models. And all the developers
497. 1:31:48were like, "Ah, those things are just [ __ ] They're never going to work out." Well, a rapper app called Windsurf
498. 1:31:54just sold for three billion dollars. So, so if you have an idea for something, [ __ ] build it because the money out there is stupid right
499. 1:32:10now. Technically, an investment was for the profit branch. Wow, that's crazy. All right. Well, cool. Love it.
500. 1:32:22Um, let me show you. I'll I'll do a quick uh midjourney thing. I'll just I'll just do a quick uh thing. Here's
501. 1:32:30here's one that I did. Here's some images that I did. So, so I've got this picture. Let me see if I've I've got it in
502. 1:32:44here. I don't think I put it in here. Did I? Hang on. Yeah, this one. So, this image, this was an image that I created um in
503. 1:33:012022 as part of my Kyle Shannon Dreams art project. Um, and it's it just this is one that just gives me joy because it's so [ __ ]
504. 1:33:12stupid. It was like, you know, stable diffusion would either make me like this big tubby 400 pound dude or make me like
505. 1:33:20this chiseled model. There was rarely anything in between. So, I just thought this and I thought the hair was perfect.
506. 1:33:26And so, I took that dude and I put it in the in this new omni reference thing. So, um, the way it works is you grab an
507. 1:33:37image or you can upload an image, but you grab an image and you drag it into Omni Reference. So, you've got image prompt
508. 1:33:46here. You've got style reference here. So, this is keep the composition of the image. Style reference is keep the style
509. 1:33:54of the image. And then this one is add this thing to whatever I describe. So, what we could do is we could say, let's
510. 1:34:02take a let's go find a fun style. Um, this one's kind of cool. So, we'll take that as a style
511. 1:34:17reference. Kind of weird. And then we'll say man and lion walking down the middle of a city
512. 1:34:33street. And so because I've got this omni reference the the dude and the lion just like in these images should be
513. 1:34:41there. You can click on this waiting thing. Um it defaults to 100 and apparently if you raise this really high
514. 1:34:48it's bad. So, I don't know. I've been just keeping it around 200. And then we've got this weird style
515. 1:34:55reference. And let's try. We'll see what it does. The thing about midjourney is you got to just experiment, experiment,
516. 1:35:05experiment, experiment, experiment. [Music]
517. 1:35:24So, it doesn't seem like it kept the uh the style. Oh, maybe here. Here it is. I lowered my style waiting. Yeah, now it's
518. 1:35:32doing it as a weird drawing. [Laughter] The appropriate response for this image
519. 1:35:47is, "Dude, what the [ __ ] Are you
520. 1:36:02okay?" So, yes, you can take an [Laughter] Okay, we're gonna we're gonna upscale
521. 1:36:17that one. Oh my
522. 1:36:32god. Lordy. We're going to upscale this one, too. Oh man. Dude, what the [ __ ] Are you okay? No. No, I'm
523. 1:36:49not. Oh, man. [Laughter]
524. 1:37:07Did you get that certificate in how to use midjourney? I don't want to talk about it. Oh my
525. 1:37:22god. [ __ ] awesome. All right. 94% complete. Come on. Come on. Midjourney. Finish it up. Let's
526. 1:37:36go. All right. That looks a little too plasticky. I think the original was
527. 1:37:55better. Maybe not. [Laughter]
528. 1:38:22You you you all do know this is just really about me entertaining myself, right? You know, that's what the channel
529. 1:38:32is. I think we need to turn this one into a uh into a a video. I think I think we all understand that. So, we're going to download that
530. 1:38:49one. Let's see. [Laughter]
531. 1:39:04And then we're going to go to Luma Labs. Is anyone still here? You've all left, right? There's 45 people here. Sorry.
532. 1:39:21It's [ __ ] It's [ __ ] midnight on the East Coast and there's 45 people here watching me laugh at stupid [ __ ] Thank you for hanging
533. 1:39:34out, but we're going to make these two into um into videos. If you haven't seen this, this is how you do it. It's okay, Kyle. We're
534. 1:39:45talking amongst ourselves. I know. Please, please do. Good lord. Okay. Downloads. All right. So, man and lion
535. 1:40:03walk down the street and then we're going to do camera moves. Oh, effects. Oh, transition
536. 1:40:20format angle. Nice. So, this is going to be crane down, crane up, truck left, dolly zoom. Where? Zoom in. Handheld. Zoom
537. 1:40:37out. Pan. Tilt. Oh, push pull out. All right, we're gonna do a pull out. And then we're going to do the other
538. 1:40:53image. And we're not going to do any prompt other than No, maybe we'll do I think we'll do Bolt
539. 1:41:07Cam. If you haven't seen Bolt Cam, it's pretty cool. Oh man, it's really got Stan alive from the V begs. Yeah, it definitely
540. 1:41:23does. There starting to walk. Diffusion models are wild. So the diffusion is when you see it all blurry and then it just gets less
541. 1:41:37and less blurry. It's basically where it starts out is this completely fully noised image that it recombobulates, you know, thousands
542. 1:41:48of noisy images into a single average noisy image and then just dnoises it over 40 or 50 or 60 or 70 steps.
543. 1:42:06[Music] This is going to be cool actually. And then we'll add we'll add audio to
544. 1:42:24this. The Pink Panther theme. Well, we'll just add sound effects to them for now and then we'll maybe we'll put these
545. 1:42:30together as some sort of There it is. So, I'm going to add audio. Um, New York City traffic
546. 1:42:44sounds. Man and lion walking. Lion [Laughter]
547. 1:43:02purring. Hang on. I got to change my audio. [Music]
548. 1:43:26[Music]
549. 1:43:44[Music] It's going to be traffic [Music]
550. 1:44:09and ah yes archetypal architect using 03 to create prompts to take to lovable holy crap. Yeah, that's a perfect use case for it.
551. 1:44:22Love it. That's great. Cityscape with purring under. Yeah, it's not doing it great. But let's see. Let's see our bolt [Laughter]
552. 1:44:50cam. Oh man. And all right, let's make audio here. We'll go um let's see New York City um urban
553. 1:45:04um noise and then we'll say swooshes with camera moves.
554. 1:45:19I'm looking for a man in finance. 65, blue [Applause] [Music]
555. 1:45:34[Music] eyes. Try it again. [Music]
556. 1:45:58Okay, perfect. So, we download this. Why does it sound like you did those yourself? Exactly. So now what you do
557. 1:46:12is is you go so so listen again I've been accused of being not professional and I think if you look at my hair the the hair tells a very
558. 1:46:26different story right so so follow my advice go make stupid [ __ ] and then post it for other people to [Laughter]
559. 1:46:52Hey, and then you put something like you're welcome. Oh no. Is this not going to let me upload it? Please upload. Please
560. 1:47:07don't error out. Please, please, Elon, please. Please. Oh, it's going to error
561. 1:47:21out. 50%. Come on, you can do it. 60. You can do it. Come on. No.
562. 1:47:36100 post. Yes. All right. Go to X. Go find that post and boost it.
563. 1:48:06[Music] [Music] [Laughter] They say I'm not professional. Come
564. 1:48:21on. You know how much money it would have taken to find a dude that fat? No comments. to find a dude that fat with
565. 1:48:31that cool hair. Source those jackets. Find an actual lion head or a real lion that you teach to stand on its hind
566. 1:48:39legs. This is a minimum $10,000 shoot. Gareth laughing out loud. What did I just come into? You came into a mental breakdown.
567. 1:48:59All right, I'm leaving. Y'all are on your own, but come to the salon tomorrow. Okay. All right. If you come
568. 1:49:07to the salon tomorrow, I'll tell you who my hairdresser is. I'll do it. I'll do it. All right. Get a lot of requests for
569. 1:49:18that. A lot of comments about my professionalism. A lot of requests for who does your quaffure. All right, peace out, man.
570. 1:49:29Hope you had fun tonight. That was so freaky sounding. All right, I'll see you tomorrow. Yeah, archetype. Uh tomorrow,
571. 1:49:39maybe tomorrow um you can tell tell us how well your uh 03 written prompts are doing and lovable. That's kind of a cool
572. 1:49:46idea. All right, everyone on YouTube and LinkedIn and X. I will see you later.