1 00:00:00,000 --> 00:00:02,000 Where are you at? 2 00:00:02,000 --> 00:00:04,800 Just south of Manila. 3 00:00:04,800 --> 00:00:07,080 Second biggest city is Cebu. 4 00:00:07,080 --> 00:00:07,580 OK. 5 00:00:07,580 --> 00:00:08,500 Is that where you're at? 6 00:00:08,500 --> 00:00:09,200 I had a good week. 7 00:00:09,200 --> 00:00:11,840 Yeah, I just came from a yoga retreat, actually, 8 00:00:11,840 --> 00:00:15,440 this weekend, which is a big first for me, but a lot of fun. 9 00:00:15,440 --> 00:00:16,280 OK. 10 00:00:16,280 --> 00:00:17,280 That's awesome, man. 11 00:00:17,280 --> 00:00:19,440 And ready to conquer the AI world? 12 00:00:19,440 --> 00:00:20,600 Yes, sir. 13 00:00:20,600 --> 00:00:21,100 Awesome. 14 00:00:21,100 --> 00:00:21,400 Good. 15 00:00:21,400 --> 00:00:22,440 I think I'm going to ask you a question. 16 00:00:22,440 --> 00:00:25,040 Welcome in to Vision Pros Live. 17 00:00:25,040 --> 00:00:26,080 I'm Jackson Calame. 18 00:00:26,080 --> 00:00:27,080 I'm your show host. 19 00:00:27,080 --> 00:00:29,760 We'll be doing interviews for visionary entrepreneurs 20 00:00:29,760 --> 00:00:31,760 and guest leaders who are building 21 00:00:31,760 --> 00:00:33,160 fantastic visions out there. 22 00:00:33,160 --> 00:00:43,200 All right. 23 00:00:43,200 --> 00:00:44,480 What's up, Vision Pros? 24 00:00:44,480 --> 00:00:45,680 My name is Jackson Calame. 25 00:00:45,680 --> 00:00:46,840 I'm your host. 26 00:00:46,840 --> 00:00:49,560 I am the founder and CEO of First Class Business. 27 00:00:49,560 --> 00:00:53,240 And I'm so excited to have Garik Tate on today. 28 00:00:53,240 --> 00:00:54,600 Seems like a young man. 29 00:00:54,600 --> 00:00:55,720 He looks very young. 30 00:00:55,720 --> 00:01:00,560 He might be a little bit older than I may be thinking 31 00:01:00,560 --> 00:01:02,960 due to the amount of wisdom that he has and experience 32 00:01:02,960 --> 00:01:07,360 and investing and AI and helping the world understand 33 00:01:07,360 --> 00:01:09,880 AI running companies in the Philippines and beyond. 34 00:01:09,880 --> 00:01:11,300 It'll be really interesting to get 35 00:01:11,300 --> 00:01:14,080 to know his story and background even further as we 36 00:01:14,080 --> 00:01:17,480 dive into the depths of artificial intelligence. 37 00:01:17,480 --> 00:01:19,520 And we might dive into other topics, too, 38 00:01:19,520 --> 00:01:21,680 based on his vision. 39 00:01:21,680 --> 00:01:24,320 So fun to learn from people who started their visions 40 00:01:24,320 --> 00:01:27,680 super young and have dedicated a lot of time 41 00:01:27,680 --> 00:01:29,000 to building those up. 42 00:01:29,000 --> 00:01:31,000 So anyway, we'll be diving in just a minute. 43 00:01:31,000 --> 00:01:32,360 As far as our sponsors go, I want 44 00:01:32,360 --> 00:01:34,240 to give a shout out to Icon Maker Live. 45 00:01:34,240 --> 00:01:35,600 It is coming up. 46 00:01:35,600 --> 00:01:38,320 We are now just a few days away from, 47 00:01:38,320 --> 00:01:41,000 in fact, we're one week away from the start, one week 48 00:01:41,000 --> 00:01:44,680 in a day on the 30th of September, August, September. 49 00:01:44,680 --> 00:01:46,040 Yep, September coming up. 50 00:01:46,040 --> 00:01:49,720 And I'm already losing track of my months. 51 00:01:49,720 --> 00:01:51,920 Icon Maker Live, awesome opportunity 52 00:01:51,920 --> 00:01:54,680 to learn how to launch a profitable podcast 53 00:01:54,680 --> 00:01:56,280 and work with some industry gurus that 54 00:01:56,280 --> 00:01:58,360 are both great in terms of business 55 00:01:58,360 --> 00:02:00,760 as well as excellent at rocking the mic 56 00:02:00,760 --> 00:02:02,880 and knowing how to present yourself 57 00:02:02,880 --> 00:02:05,280 in front of an audience, especially as a professional. 58 00:02:05,280 --> 00:02:09,080 Cheryl Plouffe and Tom Mattson are excellent leaders. 59 00:02:09,080 --> 00:02:12,040 Make sure to check out their profiles over on IconMakerLive.com 60 00:02:12,040 --> 00:02:13,840 as well as their lineup of speakers 61 00:02:13,840 --> 00:02:16,160 and how they're going to run that virtual conference. 62 00:02:16,160 --> 00:02:17,600 Capshow.com as well. 63 00:02:17,600 --> 00:02:21,400 Capshow is the leading AI content producer 64 00:02:21,400 --> 00:02:26,240 for any type of audio or video file media. 65 00:02:26,240 --> 00:02:28,560 I like to specifically talk about it from the podcast 66 00:02:28,560 --> 00:02:31,040 angle because that's what we mostly use Capshow for, 67 00:02:31,040 --> 00:02:33,080 is uploading our show onto there. 68 00:02:33,080 --> 00:02:34,760 And it produces our show notes. 69 00:02:34,760 --> 00:02:38,880 It produces LinkedIn articles, social media posts. 70 00:02:38,880 --> 00:02:41,680 It produces sound bites and audio clips 71 00:02:41,680 --> 00:02:45,280 that can then help us repurpose the content for getting out 72 00:02:45,280 --> 00:02:48,960 there through like, what are those called, YouTube shorts 73 00:02:48,960 --> 00:02:51,200 and reels and TikTok and things like that. 74 00:02:51,200 --> 00:02:54,440 So very cool program for also developing your show. 75 00:02:54,440 --> 00:02:58,600 And if you are like me, I'm a better editor and publisher 76 00:02:58,600 --> 00:02:59,560 than I am a writer. 77 00:02:59,560 --> 00:03:01,240 Writing takes me a long time. 78 00:03:01,240 --> 00:03:05,200 When I've got an AI that can produce that material for me, 79 00:03:05,200 --> 00:03:07,400 then I can scale my content so much faster 80 00:03:07,400 --> 00:03:09,160 and get it out there easier because I'm not 81 00:03:09,160 --> 00:03:11,680 stuck in the content development phase. 82 00:03:11,680 --> 00:03:15,360 Let's get off of the hamster wheel in regards to that. 83 00:03:15,360 --> 00:03:19,160 So without further ado, let's bring on our AI genius 84 00:03:19,160 --> 00:03:22,880 and Garick Tate, thank you so much for joining me today. 85 00:03:22,880 --> 00:03:24,160 How you doing, buddy? 86 00:03:24,160 --> 00:03:26,600 I'm doing well, glad to be here, Jackson. 87 00:03:26,600 --> 00:03:27,480 I appreciate it, man. 88 00:03:27,480 --> 00:03:29,440 You make a big sacrifice to get up for the world 89 00:03:29,440 --> 00:03:32,960 and be ready for a show at 6 AM in the Philippines. 90 00:03:32,960 --> 00:03:35,200 What's it like to live in the Philippines? 91 00:03:35,200 --> 00:03:37,280 You've been there for 10 years now, right? 92 00:03:37,280 --> 00:03:39,240 Yeah, I moved here when I was 18. 93 00:03:39,240 --> 00:03:43,440 So I feel like partially just it's a new normal, right? 94 00:03:43,440 --> 00:03:47,000 But it's a really amazing culture here 95 00:03:47,000 --> 00:03:50,760 that the people are just ridiculously nice. 96 00:03:50,760 --> 00:03:52,600 The infrastructure outside Manila 97 00:03:52,600 --> 00:03:56,160 has also improved since coming here. 98 00:03:56,160 --> 00:03:59,360 It's easier to get access to really good remote setups 99 00:03:59,360 --> 00:04:03,480 and work from home setups and such. 100 00:04:03,480 --> 00:04:09,000 But yeah, the culture is really unique. 101 00:04:09,000 --> 00:04:12,160 And the people here work really hard. 102 00:04:12,160 --> 00:04:15,520 They also really love having fun. 103 00:04:15,520 --> 00:04:19,880 It's just a really great place to settle down. 104 00:04:19,880 --> 00:04:20,720 Dude, that's really cool. 105 00:04:20,720 --> 00:04:21,760 I'm glad you brought that up 106 00:04:21,760 --> 00:04:24,440 because if you worked with the development world, 107 00:04:24,440 --> 00:04:27,160 let's say you took a sabbatical from that 108 00:04:27,160 --> 00:04:28,200 over the last several years, 109 00:04:28,200 --> 00:04:29,800 you decided you weren't hiring on Fiverr 110 00:04:29,800 --> 00:04:31,800 and up working elsewhere and you brought things back. 111 00:04:31,800 --> 00:04:34,040 Well, infrastructure changes dramatically 112 00:04:34,040 --> 00:04:35,160 over that type of a timeframe. 113 00:04:35,160 --> 00:04:37,160 I remember when I was in Uruguay, 114 00:04:37,160 --> 00:04:39,880 it was 2009 when I left. 115 00:04:39,880 --> 00:04:42,800 Around 2007 and a half, 2008, 116 00:04:42,800 --> 00:04:45,640 these kids all received these green little laptops. 117 00:04:45,640 --> 00:04:48,600 Yeah, one laptop per child. 118 00:04:48,600 --> 00:04:50,680 Is that what it was? 119 00:04:50,680 --> 00:04:52,640 Yeah, little green laptops. 120 00:04:52,640 --> 00:04:57,120 That was a charity that I actually, 121 00:04:57,120 --> 00:04:59,280 yeah, I'm a huge fan of that charity. 122 00:04:59,280 --> 00:05:00,120 It's really incredible. 123 00:05:00,120 --> 00:05:01,240 Cool, that's awesome. 124 00:05:01,240 --> 00:05:03,000 Well, now I know the name of it. 125 00:05:03,000 --> 00:05:05,280 We had no ideas, just missionaries, 126 00:05:05,280 --> 00:05:07,040 like how the situation worked out. 127 00:05:07,040 --> 00:05:09,680 But we were really impressed that even though 128 00:05:09,680 --> 00:05:14,680 the country had had a certain set of poverty standards 129 00:05:14,920 --> 00:05:19,720 or realities, all of the communities had Wi-Fi 130 00:05:19,720 --> 00:05:21,160 in their plaza. 131 00:05:21,160 --> 00:05:23,760 And I had never seen that in the United States 132 00:05:23,760 --> 00:05:24,600 at that point. 133 00:05:24,600 --> 00:05:26,960 So I was like, whoa, they got community Wi-Fi here. 134 00:05:26,960 --> 00:05:29,440 This is crazy. 135 00:05:29,440 --> 00:05:31,840 And these kids all have laptops to help them 136 00:05:31,840 --> 00:05:33,080 with their education and stuff. 137 00:05:33,080 --> 00:05:38,080 But I haven't been to Uruguay in 14 years now 138 00:05:38,080 --> 00:05:39,920 and the advancements of infrastructure. 139 00:05:39,920 --> 00:05:43,080 I can only imagine what has occurred over that time. 140 00:05:43,080 --> 00:05:45,800 And you're right, that does make it more accessible 141 00:05:45,800 --> 00:05:49,440 to live remotely and work with more conveniences 142 00:05:49,440 --> 00:05:52,720 that you take for granted when you do leave your country 143 00:05:52,720 --> 00:05:54,520 for the first time. 144 00:05:54,520 --> 00:05:57,280 Yeah, the place I'm standing at here is, 145 00:05:57,280 --> 00:05:59,240 it's called IT Park in Cebu. 146 00:05:59,240 --> 00:06:02,840 And there's a very good chance if you're listening 147 00:06:02,840 --> 00:06:05,120 to this episode, if you've called customer support 148 00:06:05,120 --> 00:06:09,040 and if it wasn't an Indian accent, 149 00:06:09,040 --> 00:06:10,240 that you're probably talking to someone 150 00:06:10,240 --> 00:06:12,800 who's within one block of where I'm at. 151 00:06:12,800 --> 00:06:16,080 This whole place used to be an airport actually, 152 00:06:16,080 --> 00:06:19,000 like a little bit more than 10 years ago, 153 00:06:19,000 --> 00:06:24,000 but it's really been exploding how much infrastructure 154 00:06:24,440 --> 00:06:27,400 has been built out in such a short period of time. 155 00:06:27,400 --> 00:06:29,040 Dude, that's awesome. 156 00:06:29,040 --> 00:06:33,600 And for those of you who have the wanderlust, 157 00:06:33,600 --> 00:06:35,800 you wanna go travel, you wanna be different places, 158 00:06:35,800 --> 00:06:38,720 it can be very helpful to have a mentor and friends 159 00:06:38,720 --> 00:06:41,040 such as Garrick who's been there and done that 160 00:06:41,040 --> 00:06:45,120 and been working on expanding his vision 161 00:06:45,120 --> 00:06:46,880 to understand more of the world 162 00:06:46,880 --> 00:06:48,600 as you get ready to expand your own. 163 00:06:48,600 --> 00:06:50,400 So Garrick, let's talk about that. 164 00:06:50,400 --> 00:06:52,240 Let's dive right into your vision. 165 00:06:52,240 --> 00:06:55,880 So in 30 seconds, what's your vision 166 00:06:55,880 --> 00:06:57,320 for those that you serve? 167 00:06:58,280 --> 00:07:00,920 My vision is to accelerate humanity's advancement 168 00:07:00,920 --> 00:07:04,200 towards abundance using artificial intelligence, 169 00:07:04,200 --> 00:07:06,600 ultra clarity with the use of assets 170 00:07:06,600 --> 00:07:08,240 and assemble dream teams. 171 00:07:08,240 --> 00:07:11,520 All of that comes together to help entrepreneurs 172 00:07:11,520 --> 00:07:13,880 unshackle themselves and empower themselves 173 00:07:13,880 --> 00:07:18,480 to start new ventures to have and drive impactful change. 174 00:07:19,320 --> 00:07:20,360 Wow, that's awesome. 175 00:07:20,360 --> 00:07:21,920 Okay, very good. 176 00:07:21,920 --> 00:07:25,520 So it's not just the idea of robots 177 00:07:25,520 --> 00:07:29,720 as much as it is the idea of robotic technologies 178 00:07:29,720 --> 00:07:34,040 helping out humanity with humane things, 179 00:07:34,040 --> 00:07:35,640 things that have to do with bringing us together 180 00:07:35,640 --> 00:07:37,320 as teams you mentioned. 181 00:07:37,320 --> 00:07:39,680 Talk to me about team building. 182 00:07:39,680 --> 00:07:43,320 Yeah, so team building for me boils down 183 00:07:43,320 --> 00:07:44,840 to just a hero's journey. 184 00:07:44,840 --> 00:07:48,400 So it's a storytelling method. 185 00:07:49,320 --> 00:07:51,040 I think a lot of people listening, 186 00:07:51,040 --> 00:07:54,800 I'm sure you've heard like this hero with a thousand faces 187 00:07:54,800 --> 00:07:59,360 and the hero's journey, people like Carl Jung and such. 188 00:07:59,360 --> 00:08:04,360 I think that we are always part of a story. 189 00:08:04,440 --> 00:08:06,520 There's a great Carl Jung quote I love of like, 190 00:08:06,520 --> 00:08:08,440 we are dreaming even when we're awake, 191 00:08:08,440 --> 00:08:09,840 we're dreaming all the time. 192 00:08:11,040 --> 00:08:13,520 And I think there's a lot of truth to that 193 00:08:13,520 --> 00:08:15,720 when you see how the brain fires. 194 00:08:15,720 --> 00:08:17,560 We wanna be part of a story that matters, 195 00:08:17,560 --> 00:08:20,680 we wanna be a part of a story that empowers us. 196 00:08:20,680 --> 00:08:24,480 So I think a big part of team building is to, 197 00:08:24,480 --> 00:08:26,400 especially as a leader, to be making sure 198 00:08:26,400 --> 00:08:31,280 that all the members of your team are telling themselves 199 00:08:31,280 --> 00:08:33,360 the same story, they're telling each other the same story 200 00:08:33,360 --> 00:08:35,760 and it's a story that they have a place in 201 00:08:35,760 --> 00:08:37,400 where they're gonna make an impact on that, 202 00:08:37,400 --> 00:08:41,160 they're going to be impacted by it as well, 203 00:08:41,160 --> 00:08:45,400 and that they can all really get behind. 204 00:08:45,400 --> 00:08:50,400 And that comes to how you praise their work 205 00:08:50,600 --> 00:08:53,720 and also how you give them critical feedback. 206 00:08:53,720 --> 00:08:55,440 But you always have to be making sure 207 00:08:55,440 --> 00:08:57,800 all that feedback is coming from that frame of, 208 00:08:57,800 --> 00:09:02,440 this is where we're going, this is our steps towards there. 209 00:09:02,440 --> 00:09:06,040 So it all boils down to that frame, 210 00:09:06,040 --> 00:09:07,800 I try to keep that in mind. 211 00:09:07,800 --> 00:09:08,920 Brother, I'm with you on that. 212 00:09:08,920 --> 00:09:10,160 In fact, I really liked that quote, 213 00:09:10,160 --> 00:09:11,000 I had to write it down. 214 00:09:11,000 --> 00:09:13,960 We all wanna be part of a story that matters. 215 00:09:13,960 --> 00:09:17,600 And it's funny because I was listening to Jordan Peterson 216 00:09:17,600 --> 00:09:20,640 about three months ago and he said, 217 00:09:20,640 --> 00:09:22,880 people want to be left alone. 218 00:09:22,880 --> 00:09:26,440 And I was like, what, who are you talking about? 219 00:09:26,440 --> 00:09:27,880 You're not talking about me. 220 00:09:29,600 --> 00:09:34,040 But my maturity of finally crossing the years 221 00:09:34,040 --> 00:09:36,920 of realizing life can be painful and difficult too, 222 00:09:37,760 --> 00:09:39,920 I realized like, well, there's a lot of truth to this 223 00:09:39,920 --> 00:09:41,480 probably for certain people out there. 224 00:09:41,480 --> 00:09:44,000 And I realized, wow, this is actually smart advice, 225 00:09:44,000 --> 00:09:48,200 but I'm sure you're also familiar with similar concepts, 226 00:09:48,200 --> 00:09:50,080 that people wanna have community, 227 00:09:50,080 --> 00:09:51,760 they wanna be left alone, they wanna dream 228 00:09:51,760 --> 00:09:53,720 and be part of a story that matters. 229 00:09:53,720 --> 00:09:55,760 How does a phrase like yours, 230 00:09:55,760 --> 00:09:58,400 we wanna be part of a story that matters, 231 00:09:58,400 --> 00:10:01,720 correlate and coexist with the thought process 232 00:10:01,720 --> 00:10:04,120 that people also wanna be left alone, 233 00:10:04,120 --> 00:10:07,480 or is there a contrast in the perspectives? 234 00:10:10,680 --> 00:10:13,080 That's a great question. 235 00:10:13,080 --> 00:10:15,100 I think that people, 236 00:10:17,000 --> 00:10:21,680 I believe I've heard Jordan also say things 237 00:10:21,680 --> 00:10:23,960 like that, I've often heard him say it 238 00:10:23,960 --> 00:10:28,960 in the context of government oversight or of... 239 00:10:33,560 --> 00:10:35,560 I'll give you context on what I heard it from. 240 00:10:35,560 --> 00:10:37,360 So when he was talking about- 241 00:10:37,360 --> 00:10:39,320 Hi guys, I'm Will, co-founder of NC and New Campus. 242 00:10:39,320 --> 00:10:40,160 What's up, Will? 243 00:10:41,720 --> 00:10:44,120 Yeah, a little bit of a video coming on soon. 244 00:10:46,240 --> 00:10:48,440 Okay, so he was talking about survival 245 00:10:48,440 --> 00:10:53,200 and how when you, the fish that swims on the edge 246 00:10:53,200 --> 00:10:56,920 of the pack is the one that gets eaten 247 00:10:56,920 --> 00:10:58,960 versus the bigger fish are usually in the middle 248 00:10:58,960 --> 00:11:02,440 of the school of fish and the zebra that is the outlier, 249 00:11:02,440 --> 00:11:04,200 the same thing ends up being attacked. 250 00:11:04,200 --> 00:11:07,500 So he was talking a little bit about government, 251 00:11:07,500 --> 00:11:10,440 but I think he was talking about some truth regarding that. 252 00:11:10,440 --> 00:11:13,240 And maybe there's just different elements of people 253 00:11:14,240 --> 00:11:16,560 that want to be known and be out there. 254 00:11:16,560 --> 00:11:19,200 Maybe there are people who don't kind of like A type 255 00:11:19,200 --> 00:11:21,400 and then what they call it, A type personalities. 256 00:11:21,400 --> 00:11:23,160 I think A type is very driven. 257 00:11:23,160 --> 00:11:26,080 Like you can't just like leave alone. 258 00:11:26,080 --> 00:11:28,120 You have to be driving towards something. 259 00:11:28,120 --> 00:11:31,800 But I think I follow where that's coming from now. 260 00:11:31,800 --> 00:11:36,800 I think that even then they're part of a story. 261 00:11:36,960 --> 00:11:41,560 And if you are assembling a team where that team 262 00:11:41,560 --> 00:11:44,360 is assembled for a particular mission statement, 263 00:11:44,360 --> 00:11:49,360 then the people who want to be left alone can, 264 00:11:51,360 --> 00:11:54,960 you know, that culture might not be right for them. 265 00:11:54,960 --> 00:11:57,120 Now the answer also could be that the culture 266 00:11:57,120 --> 00:12:00,160 is perfect for them if they see 267 00:12:00,160 --> 00:12:02,220 that it furthers their own goals. 268 00:12:02,220 --> 00:12:05,280 So they have to be there for their own reasons. 269 00:12:05,280 --> 00:12:07,960 There have been quite a few people who have come 270 00:12:07,960 --> 00:12:10,560 and gone from my teams who, you know, 271 00:12:10,560 --> 00:12:12,880 they said on the day of the interview, 272 00:12:12,880 --> 00:12:15,120 you know, I'm here because I want to start my own company. 273 00:12:15,120 --> 00:12:17,800 And I think that being here and learning from you guys 274 00:12:17,800 --> 00:12:19,520 is gonna be the way that I do it. 275 00:12:19,520 --> 00:12:21,760 And to that I say, fucking come on board. 276 00:12:21,760 --> 00:12:26,760 And, you know, we put, you know, them into that position 277 00:12:27,800 --> 00:12:30,440 where they can learn what they need to learn. 278 00:12:30,440 --> 00:12:33,220 And very often like their personalities naturally 279 00:12:33,220 --> 00:12:36,220 are going to be a little more independent, 280 00:12:36,220 --> 00:12:37,880 but you can absolutely work with that. 281 00:12:37,880 --> 00:12:39,380 They're still gonna be part of the story 282 00:12:39,380 --> 00:12:40,920 that they're gonna get what they need 283 00:12:40,920 --> 00:12:44,120 and where everyone else is gonna get what they need as well. 284 00:12:44,120 --> 00:12:47,300 So for those of you who caught the Jedi mind trick, 285 00:12:47,300 --> 00:12:48,720 Garrick probably did as well. 286 00:12:48,720 --> 00:12:51,560 And that is, Garrick, we've learned about Garrick 287 00:12:51,560 --> 00:12:54,820 that as a leader, he has the ability to make space 288 00:12:54,820 --> 00:12:58,480 from multiple perspectives versus somebody who felt 289 00:12:58,480 --> 00:13:01,440 like the juxtaposition that I created 290 00:13:01,440 --> 00:13:03,220 between Jordan Peterson and himself, 291 00:13:03,220 --> 00:13:06,000 some people would feel inferior in that environment 292 00:13:06,000 --> 00:13:09,100 and feel like I just created a problem, you know, 293 00:13:09,100 --> 00:13:12,120 or a concern or something to feel like, oh man, 294 00:13:12,120 --> 00:13:14,480 is he saying I'm wrong? 295 00:13:14,480 --> 00:13:19,480 And it takes that type of awareness for a leader 296 00:13:19,760 --> 00:13:23,640 to guide teams that are going to scale. 297 00:13:23,640 --> 00:13:26,720 So I have a lot of respect for your capacity 298 00:13:26,720 --> 00:13:27,880 to navigate those waters. 299 00:13:27,880 --> 00:13:28,800 Garrick, thanks for doing that with me. 300 00:13:28,800 --> 00:13:31,960 With that said, for the visionary pros who are listening, 301 00:13:31,960 --> 00:13:36,180 for those who have skillsets, they wanna expand, 302 00:13:36,180 --> 00:13:38,620 legacies they wanna build, you know, 303 00:13:38,620 --> 00:13:40,400 who should be listening, 304 00:13:40,400 --> 00:13:42,600 why should they be listening to you today? 305 00:13:42,600 --> 00:13:45,200 And what do you think they're gonna get out of today's show? 306 00:13:46,320 --> 00:13:47,280 That's a great question. 307 00:13:47,280 --> 00:13:49,880 Yeah, one of the first concepts I got 308 00:13:49,880 --> 00:13:52,680 on my own entrepreneurial journey was the idea of like, 309 00:13:52,680 --> 00:13:54,240 who do you listen to? 310 00:13:54,240 --> 00:13:56,400 And, you know, you should listen to people 311 00:13:56,400 --> 00:13:59,500 who have what you want and have been where you are. 312 00:13:59,500 --> 00:14:02,200 So I wanna see if I can put myself 313 00:14:02,200 --> 00:14:05,100 in that mental gymnastic here. 314 00:14:05,100 --> 00:14:10,100 So I'd say where our superpower comes from 315 00:14:10,800 --> 00:14:13,080 and a little bit of what we've been doing, 316 00:14:13,080 --> 00:14:16,640 currently we have three separate companies in the Philippines 317 00:14:16,640 --> 00:14:19,800 from publishing, outsourcing, software development. 318 00:14:19,800 --> 00:14:23,560 And across all three have implemented AI 319 00:14:23,560 --> 00:14:25,520 in different capacities. 320 00:14:25,520 --> 00:14:28,800 We think that AI is, and I say we, 321 00:14:28,800 --> 00:14:31,200 because it's not just a lone show with myself, 322 00:14:31,200 --> 00:14:33,280 also myself and my business partners. 323 00:14:33,280 --> 00:14:36,920 Other three of us, I probably tend a little more 324 00:14:36,920 --> 00:14:40,100 towards the technical and towards operations. 325 00:14:41,680 --> 00:14:46,680 But we've implemented AI across all three companies 326 00:14:47,240 --> 00:14:50,160 from marketing to operations, recruitment, 327 00:14:50,160 --> 00:14:52,520 whole bunch of different areas. 328 00:14:52,520 --> 00:14:55,880 And if I'd say to your listeners, 329 00:14:55,880 --> 00:14:59,440 if you are thinking about either starting new ventures 330 00:14:59,440 --> 00:15:01,120 or are currently in the middle of a venture 331 00:15:01,120 --> 00:15:04,480 and thinking about how do I drive the adoption of AI 332 00:15:04,480 --> 00:15:05,600 into my culture? 333 00:15:05,600 --> 00:15:09,960 How do I add AI automations, scripts or other things? 334 00:15:09,960 --> 00:15:12,600 Can I be looking for examples of how to add it 335 00:15:12,600 --> 00:15:14,680 in this space or that space? 336 00:15:14,680 --> 00:15:19,680 I'd say that all of those are in my wheelhouse, so to speak. 337 00:15:22,280 --> 00:15:24,760 Was anything there that I would expand on? 338 00:15:24,760 --> 00:15:27,600 I think that there's probably a lot more I could dig into. 339 00:15:27,600 --> 00:15:31,040 I'll dive in for you on that and just kind of guide you 340 00:15:31,040 --> 00:15:31,880 through that process. 341 00:15:31,880 --> 00:15:36,080 So I think one of the concerns that I wish business owners 342 00:15:37,520 --> 00:15:42,520 faced reality with and kind of internalized more 343 00:15:42,720 --> 00:15:44,880 because it would actually be less scary 344 00:15:44,880 --> 00:15:47,920 and more eye-opening if they realize that one, 345 00:15:47,920 --> 00:15:50,360 if they don't get ahead of the AI curve, 346 00:15:51,200 --> 00:15:54,240 companies like Google and Facebook and Tesla and beyond 347 00:15:54,240 --> 00:15:56,200 will eat their lunch money. 348 00:15:56,200 --> 00:15:57,760 Like that's going to happen. 349 00:15:57,760 --> 00:16:01,760 And at the same time, if they take the opportunity 350 00:16:01,760 --> 00:16:03,680 to learn about it and understand it 351 00:16:03,680 --> 00:16:06,320 and don't just keep their head in the sand, 352 00:16:06,320 --> 00:16:08,440 hoping that this will go away, 353 00:16:08,440 --> 00:16:13,440 then they're just learning how to adopt the good 354 00:16:13,440 --> 00:16:15,880 that exists in the resource. 355 00:16:15,880 --> 00:16:19,280 Their future could be very prosperous. 356 00:16:19,280 --> 00:16:22,960 Am I full of crap or am I right, Eric? 357 00:16:22,960 --> 00:16:25,280 You're welcome to call me out either way. 358 00:16:25,280 --> 00:16:26,360 I think you're very right. 359 00:16:26,360 --> 00:16:30,880 I think that there's a lot of wisdom in the point 360 00:16:30,880 --> 00:16:33,960 that you're not going to be replaced by AI. 361 00:16:33,960 --> 00:16:37,600 You're going to be replaced by someone else who's using AI 362 00:16:37,600 --> 00:16:40,480 to make themselves 10 times more effective. 363 00:16:42,240 --> 00:16:43,200 And- 364 00:16:43,200 --> 00:16:44,320 Well said. 365 00:16:44,320 --> 00:16:48,080 I don't believe that AI is going to massively 366 00:16:50,560 --> 00:16:54,800 reduce the employment rate or things like that. 367 00:16:54,800 --> 00:16:57,560 We can dig into a little more why, 368 00:16:57,560 --> 00:16:59,560 because I think there's a few important factors 369 00:16:59,560 --> 00:17:01,200 left out of that conversation. 370 00:17:03,160 --> 00:17:08,160 And so if we put that narrative, 371 00:17:08,360 --> 00:17:11,240 that story off to the side 372 00:17:12,200 --> 00:17:15,760 and then just look at AI, what it is, it's a new tool. 373 00:17:15,760 --> 00:17:16,600 And we've been here before. 374 00:17:16,600 --> 00:17:17,720 You just inspired it. 375 00:17:17,720 --> 00:17:18,840 You just inspired, I was like, 376 00:17:18,840 --> 00:17:22,000 the meeting when you said that, I was like, Paul Bunyan. 377 00:17:22,000 --> 00:17:24,560 I was like, there's a story, the lumberjack. 378 00:17:24,560 --> 00:17:27,720 And you've got the guy who can cut trees down as fast 379 00:17:27,720 --> 00:17:30,160 as he can with an ax, but you've got somebody 380 00:17:30,160 --> 00:17:31,280 that comes along with a chainsaw. 381 00:17:31,280 --> 00:17:33,080 Are there any less lumberjacks in the world? 382 00:17:33,080 --> 00:17:34,480 No. 383 00:17:34,480 --> 00:17:36,960 But are they more effective at what they do? 384 00:17:36,960 --> 00:17:38,400 Absolutely. 385 00:17:38,400 --> 00:17:41,080 That same revolution is underway with AI. 386 00:17:42,360 --> 00:17:46,760 Yeah, and there's many examples in history 387 00:17:46,760 --> 00:17:50,520 of when output get increased. 388 00:17:51,440 --> 00:17:54,440 So supply, the supply side of the curve increased. 389 00:17:54,440 --> 00:17:57,360 Demand shot up with it because the constraint 390 00:17:57,360 --> 00:17:58,960 was never on the demand side. 391 00:17:58,960 --> 00:18:00,560 It was on the supply side. 392 00:18:00,560 --> 00:18:04,720 We just thought that we didn't need more output. 393 00:18:06,400 --> 00:18:08,400 And there's loads of examples of that 394 00:18:08,400 --> 00:18:11,680 in knowledge work actually as well. 395 00:18:11,680 --> 00:18:12,920 I'll give you one example. 396 00:18:12,920 --> 00:18:16,840 When we released the ATM, about 80% of time 397 00:18:16,840 --> 00:18:20,680 of the time of bank clerks was spent just doing work 398 00:18:20,680 --> 00:18:22,000 that the ATM automated. 399 00:18:22,000 --> 00:18:25,480 So when the ATM got rolled out to all bank locations, 400 00:18:25,480 --> 00:18:29,520 people were scared that their jobs were gonna be taken away. 401 00:18:31,920 --> 00:18:33,680 And you would think very logically 402 00:18:33,680 --> 00:18:36,720 it would decrease by 80% because 80% of their time 403 00:18:36,720 --> 00:18:38,320 had just like, and sweep aside, 404 00:18:38,320 --> 00:18:40,520 you could literally do the same amount of work 405 00:18:40,520 --> 00:18:42,480 with one fifth of people. 406 00:18:42,480 --> 00:18:44,120 It was just the math. 407 00:18:45,480 --> 00:18:47,480 But in fact, the opposite happened. 408 00:18:47,480 --> 00:18:50,120 Bank jobs didn't go down or bank teller jobs didn't go down. 409 00:18:50,120 --> 00:18:54,240 They went up because what the banks did 410 00:18:54,240 --> 00:18:56,320 is they started opening up more locations. 411 00:18:58,720 --> 00:19:02,640 So there was a constraint there that we didn't even realize 412 00:19:02,640 --> 00:19:04,960 that it got unlocked. 413 00:19:04,960 --> 00:19:06,440 I think Sam Altman says, 414 00:19:06,440 --> 00:19:08,160 there's been a variety of times in history 415 00:19:08,160 --> 00:19:12,320 where a resource becomes 1000 times cheaper, 416 00:19:12,320 --> 00:19:15,600 and then we wanna spend 1000 times more on it. 417 00:19:15,600 --> 00:19:17,800 And right now with AI, 418 00:19:17,800 --> 00:19:20,360 we are going through that revolution with intelligence. 419 00:19:20,360 --> 00:19:21,760 Before it was with electricity, 420 00:19:21,760 --> 00:19:24,680 when electricity became 1000 times cheaper, 421 00:19:24,680 --> 00:19:26,360 and we want 1000 times more, 422 00:19:26,360 --> 00:19:29,120 similar things are happening now. 423 00:19:29,120 --> 00:19:31,320 Wow, that's profound. 424 00:19:31,320 --> 00:19:32,160 And that's well said. 425 00:19:32,160 --> 00:19:33,600 If I were listening to this right now, 426 00:19:33,600 --> 00:19:36,240 I'd literally pause and go back 30 seconds 427 00:19:36,240 --> 00:19:37,560 and listen to what you just said 428 00:19:37,560 --> 00:19:40,720 probably two or three more times just to get into memory. 429 00:19:40,720 --> 00:19:43,320 Alas, I have to continue the show. 430 00:19:43,320 --> 00:19:46,000 But that was really, really powerful. 431 00:19:46,000 --> 00:19:48,360 So if you're listening in, appreciate what 432 00:19:48,360 --> 00:19:49,320 Garret just threw down. 433 00:19:49,320 --> 00:19:52,640 Garret, what's your own personal vision in 15 seconds? 434 00:19:52,640 --> 00:19:54,000 What do you want out of your life 435 00:19:54,000 --> 00:19:56,480 over the next three, five, 10, 20 years? 436 00:19:57,880 --> 00:20:02,880 I'm personally very inspired by some of the things 437 00:20:03,000 --> 00:20:06,480 you got, you got definitely be very picky with this. 438 00:20:06,480 --> 00:20:08,040 You don't wanna take anyone's life whole cloth. 439 00:20:08,040 --> 00:20:09,680 It's definitely not this person's. 440 00:20:09,680 --> 00:20:10,960 But I'm really inspired by a lot of things 441 00:20:10,960 --> 00:20:14,880 that Tim Ferriss has done of just kind of maximizing himself, 442 00:20:14,880 --> 00:20:17,400 collecting a lot of experiences. 443 00:20:17,400 --> 00:20:21,400 And I think that there's seasons in life. 444 00:20:21,400 --> 00:20:26,400 And right now going more towards that season 445 00:20:26,560 --> 00:20:28,120 than probably five years from now, 446 00:20:28,120 --> 00:20:29,800 more focused on starting a family 447 00:20:29,800 --> 00:20:32,720 and then from there just continuing the circuit. 448 00:20:32,720 --> 00:20:36,080 But that's a big hero of mine. 449 00:20:36,080 --> 00:20:36,920 Selectively. 450 00:20:36,920 --> 00:20:37,740 That's cool, man. 451 00:20:37,740 --> 00:20:40,240 Well, I see exactly why you put the context on it. 452 00:20:40,240 --> 00:20:41,960 I know exactly what you mean. 453 00:20:41,960 --> 00:20:46,960 And Tim Ferriss has absolutely been an icon, 454 00:20:47,600 --> 00:20:49,160 a lighthouse for me as well. 455 00:20:49,160 --> 00:20:52,400 I'm making sure that I follow the NR policies, 456 00:20:52,400 --> 00:20:54,360 the new rich, right? 457 00:20:54,360 --> 00:20:55,760 Of creating balance. 458 00:20:55,760 --> 00:20:58,680 And I was already a stay at home dad 459 00:20:58,680 --> 00:21:01,760 from day one at 21 years old, which made me an outlier. 460 00:21:02,640 --> 00:21:05,880 And I'm there being dad, being entrepreneur, 461 00:21:05,880 --> 00:21:08,920 working from home, in an environment in the world 462 00:21:08,920 --> 00:21:10,320 where that wasn't very common. 463 00:21:10,320 --> 00:21:12,180 And it was three years after that, 464 00:21:12,180 --> 00:21:14,860 that I came across the book, The Four-Hour Workweek. 465 00:21:14,860 --> 00:21:17,040 And I was like, hey, cool. 466 00:21:17,040 --> 00:21:19,960 This validates my life. 467 00:21:19,960 --> 00:21:23,040 I don't feel so alone and strange anymore. 468 00:21:23,900 --> 00:21:26,200 And then, yes, there are lots of things 469 00:21:26,200 --> 00:21:28,000 that he's experimented and tried 470 00:21:28,000 --> 00:21:31,160 that some people consider very dark, very dangerous, 471 00:21:31,160 --> 00:21:33,600 very off color. 472 00:21:35,320 --> 00:21:36,760 But we're all human beings, right? 473 00:21:36,760 --> 00:21:40,000 We all have our good, bad, dark, ugly sides. 474 00:21:40,000 --> 00:21:41,400 So I see what you're saying, 475 00:21:41,400 --> 00:21:44,640 but the virtues and the principles 476 00:21:44,640 --> 00:21:45,880 that he's put out there in life, 477 00:21:45,880 --> 00:21:48,400 they are extremely commendable, in my opinion. 478 00:21:48,400 --> 00:21:50,240 And I'm glad you bring his name up. 479 00:21:50,240 --> 00:21:51,440 Everybody that we're talking about, 480 00:21:51,440 --> 00:21:52,840 hi, may I help, goes in the show now. 481 00:21:52,840 --> 00:21:55,720 It's Jordan Peterson, Tim Ferriss, et cetera. 482 00:21:55,720 --> 00:21:59,040 Cause people, and this, what was it, Sam? 483 00:21:59,040 --> 00:22:01,040 Is that the quote that I was mesmerized by? 484 00:22:01,040 --> 00:22:03,400 Sam Altman is the founder of OpenAI. 485 00:22:03,400 --> 00:22:04,240 Yeah. 486 00:22:04,240 --> 00:22:05,360 Oh, that guy. 487 00:22:05,360 --> 00:22:08,200 Yeah, he's kind of well known at this point in life, 488 00:22:08,200 --> 00:22:09,040 what he's done. 489 00:22:09,040 --> 00:22:10,800 All right, let's take another big shift. 490 00:22:10,800 --> 00:22:15,800 Let's go right into what is your worst business experience 491 00:22:16,360 --> 00:22:17,200 ever? 492 00:22:21,280 --> 00:22:25,360 There was a time about, 493 00:22:27,280 --> 00:22:28,640 gosh, when was that? 494 00:22:28,640 --> 00:22:31,720 That was about seven and a half years ago. 495 00:22:32,560 --> 00:22:36,160 We had grown pretty fast. 496 00:22:36,160 --> 00:22:39,760 We had gone from about 10 employees up to about 25. 497 00:22:39,760 --> 00:22:42,280 Now we've blown past that. 498 00:22:42,280 --> 00:22:43,120 But at that time, you know, 499 00:22:43,120 --> 00:22:45,320 that was a pretty big doubling of the penny. 500 00:22:46,600 --> 00:22:51,600 And we had hired a bad actor 501 00:22:52,400 --> 00:22:56,040 who we realized had actually in her previous company 502 00:22:56,040 --> 00:23:01,040 had also kind of blown up the company 503 00:23:01,160 --> 00:23:06,080 by creating a really toxic place, 504 00:23:06,080 --> 00:23:09,080 a lot of gossip and a lot of kind of us versus them. 505 00:23:11,800 --> 00:23:16,800 And the phrase of like one bad apple can ruin the bunch. 506 00:23:19,200 --> 00:23:20,240 What's happening? 507 00:23:20,240 --> 00:23:21,080 Yeah. 508 00:23:21,080 --> 00:23:21,920 That's for sure, Mike. 509 00:23:21,920 --> 00:23:25,640 Definitely, definitely really changed big parts of the culture. 510 00:23:25,640 --> 00:23:27,040 He's laughing in the background. 511 00:23:27,040 --> 00:23:29,320 I'm like, I'm not gonna name him, but we've had one. 512 00:23:29,320 --> 00:23:31,360 Yeah, yeah, you got that person. 513 00:23:31,360 --> 00:23:36,360 And so we had to go through a pretty big shift 514 00:23:40,480 --> 00:23:42,640 and ended up, you know, 515 00:23:42,640 --> 00:23:45,720 letting a lot of people go making a really big, 516 00:23:45,720 --> 00:23:47,240 like a hard reset. 517 00:23:49,400 --> 00:23:52,040 And actually during that time, 518 00:23:52,040 --> 00:23:55,800 we decided to also fly out to Taiwan for about a week 519 00:23:55,800 --> 00:23:58,560 just to kind of like get the leadership team, 520 00:23:58,560 --> 00:24:00,480 get our heads screwed back on 521 00:24:00,480 --> 00:24:02,640 and just kind of make it a little more of a hard reset. 522 00:24:02,640 --> 00:24:05,240 That was a very, very hard time. 523 00:24:05,240 --> 00:24:07,560 Early on, we only had one business, now we have three. 524 00:24:07,560 --> 00:24:09,960 So there's a lot less stability 525 00:24:09,960 --> 00:24:12,160 and just a very fear of the unknown. 526 00:24:12,160 --> 00:24:13,160 No, actually it wasn't Taiwan. 527 00:24:13,160 --> 00:24:14,160 No, actually it was Hong Kong. 528 00:24:14,160 --> 00:24:15,760 I don't know why I said Taiwan, 529 00:24:15,760 --> 00:24:19,880 but that was a looking back on it, very, very fond, 530 00:24:19,880 --> 00:24:21,120 a lot of good experiences, 531 00:24:21,120 --> 00:24:24,680 but going through it, really, really rough time. 532 00:24:24,680 --> 00:24:29,680 It reminds me of some of the beginning retreats 533 00:24:30,520 --> 00:24:32,400 that go about in a book called 534 00:24:32,400 --> 00:24:34,080 The Five Dysfunctions of a Team. 535 00:24:34,080 --> 00:24:35,400 Have you read that book? 536 00:24:35,400 --> 00:24:37,920 No, it's on my reading list to read this year, 537 00:24:37,920 --> 00:24:39,080 but I haven't read it. 538 00:24:39,080 --> 00:24:41,080 There's two books I regret not reading sooner 539 00:24:41,080 --> 00:24:44,400 when I had the chance, that one and the E-Myth. 540 00:24:44,400 --> 00:24:47,080 Read a lot of books on time, those two I passed up 541 00:24:47,080 --> 00:24:49,920 and I wish I could go back in time 542 00:24:49,920 --> 00:24:52,960 and read it right when I came across my desk. 543 00:24:52,960 --> 00:24:55,920 So you'll really appreciate it with what you went through. 544 00:24:55,920 --> 00:24:58,040 You'll be like, oh my gosh, 545 00:24:58,040 --> 00:24:59,280 we did what we were supposed to. 546 00:24:59,280 --> 00:25:02,960 It's gonna validate what you guys did in a big way. 547 00:25:02,960 --> 00:25:06,080 So I'm curious, use a quote as well, us versus them. 548 00:25:06,080 --> 00:25:10,000 Have you read the book, Tribal Leadership? 549 00:25:10,000 --> 00:25:11,760 I have not, no. 550 00:25:11,760 --> 00:25:14,040 Okay, you're living by a lot of those principles 551 00:25:14,040 --> 00:25:15,880 as well then, that's cool. 552 00:25:15,880 --> 00:25:17,760 So then where do you get your knowledge? 553 00:25:17,760 --> 00:25:19,720 You've referenced several people. 554 00:25:19,720 --> 00:25:21,560 You've referenced, I can tell too, 555 00:25:21,560 --> 00:25:24,000 that you're good at following principles. 556 00:25:24,000 --> 00:25:25,480 Like your quote you said, 557 00:25:25,480 --> 00:25:27,920 follow people who have what you want 558 00:25:27,920 --> 00:25:29,840 and who have been where you've been. 559 00:25:29,840 --> 00:25:32,200 Well, what drove about these, 560 00:25:32,200 --> 00:25:34,360 what's the powerful lesson visionaries can learn? 561 00:25:34,360 --> 00:25:35,440 Who have you been learning from? 562 00:25:35,440 --> 00:25:37,240 Where do you soak in this knowledge? 563 00:25:39,640 --> 00:25:44,640 The people who I think everyone can learn from. 564 00:25:47,440 --> 00:25:49,200 Let me actually take a step back here and say that. 565 00:25:49,200 --> 00:25:50,040 Yeah, please. 566 00:25:50,040 --> 00:25:55,040 I think that clear thinkers are worth their weight in gold. 567 00:25:55,520 --> 00:25:58,880 It's in many ways better to learn from a clear thinker 568 00:25:58,880 --> 00:26:01,080 than it is to learn from someone who's smart. 569 00:26:01,080 --> 00:26:01,920 When you're smart, 570 00:26:01,920 --> 00:26:04,800 that just means you can process data a little bit faster. 571 00:26:04,800 --> 00:26:06,040 You just have a CPU cycle. 572 00:26:06,040 --> 00:26:07,400 That's super valuable. 573 00:26:08,560 --> 00:26:10,400 And it's worth exercising your body 574 00:26:10,400 --> 00:26:11,480 and getting your nutrition right. 575 00:26:11,480 --> 00:26:13,840 But that's just mental horsepower. 576 00:26:13,840 --> 00:26:15,040 There's not really much to it. 577 00:26:15,040 --> 00:26:18,400 You can race down a very bad track very fast 578 00:26:18,400 --> 00:26:22,760 if you're smart and make a lot of dumb decisions. 579 00:26:24,520 --> 00:26:27,840 Being a clear thinker for me means 580 00:26:27,840 --> 00:26:31,720 that you are taking in the broader context. 581 00:26:31,720 --> 00:26:35,280 You're not being clouded by your own thoughts 582 00:26:35,280 --> 00:26:37,840 in front of you and you're seeing things 583 00:26:37,840 --> 00:26:39,320 as clearly as you can. 584 00:26:39,320 --> 00:26:43,000 And then you're extracting the principles from it. 585 00:26:43,000 --> 00:26:48,000 Some of the clear thinkers that I would call my mentors 586 00:26:50,240 --> 00:26:53,520 for your own mind, Tony Robbins, 587 00:26:53,520 --> 00:26:56,080 he's not as famous now as he was before 588 00:26:56,080 --> 00:26:58,400 because he doesn't want to. 589 00:26:58,400 --> 00:27:01,160 No, no, I would say he doesn't dominate 590 00:27:01,160 --> 00:27:04,160 as much as he did before, only because he doesn't want to. 591 00:27:04,160 --> 00:27:06,480 He just has other stuff going on, 592 00:27:06,480 --> 00:27:08,960 but he's the OG, like 1000%. 593 00:27:08,960 --> 00:27:13,480 And if he wanted to be the only name that people 594 00:27:13,480 --> 00:27:15,080 in my demographic were talking about, 595 00:27:15,080 --> 00:27:17,520 he could just keep on doing that content cycle 596 00:27:17,520 --> 00:27:20,240 like the new Tom Billiou and Alex Hermosys 597 00:27:20,240 --> 00:27:21,320 and he would still be on top. 598 00:27:21,320 --> 00:27:24,800 He just has decided to diversify, right? 599 00:27:24,800 --> 00:27:26,480 Which is good on him. 600 00:27:26,480 --> 00:27:28,920 But his stuff's incredible. 601 00:27:28,920 --> 00:27:33,080 Ray Dalio, I think a lot of his thinking similar. 602 00:27:34,600 --> 00:27:38,560 I also think Jordan Peterson for a lot of young people 603 00:27:38,560 --> 00:27:39,840 has a lot of wisdom. 604 00:27:39,840 --> 00:27:42,120 He's very controversial in some things 605 00:27:42,120 --> 00:27:44,480 for his political views. 606 00:27:44,480 --> 00:27:47,920 But I think that for the physics, 607 00:27:47,920 --> 00:27:52,320 to articulate the physics of being human as an individual 608 00:27:52,320 --> 00:27:54,280 and how to like get your shit together, 609 00:27:54,280 --> 00:27:57,480 be able to put forward an articulated vision, 610 00:27:57,480 --> 00:27:59,520 there's few people that can match him. 611 00:27:59,520 --> 00:28:00,960 And so I think a lot of young people 612 00:28:00,960 --> 00:28:03,280 that are in maybe dark places 613 00:28:04,320 --> 00:28:06,320 can extract a lot of gold from there, 614 00:28:06,320 --> 00:28:08,640 even if you don't have to take them whole cloth. 615 00:28:08,640 --> 00:28:10,960 And then of course, yeah, Tim Ferriss, 616 00:28:10,960 --> 00:28:13,200 those would be some of the top people. 617 00:28:13,200 --> 00:28:17,960 Nice, so you have a very disciplined filter about you 618 00:28:17,960 --> 00:28:21,400 that has allowed you to focus on who to listen to 619 00:28:21,400 --> 00:28:22,240 and that's cool. 620 00:28:23,440 --> 00:28:25,360 Are you a fan of Iron Man or are you not? 621 00:28:25,360 --> 00:28:29,960 I have to ask that because you have a lot of mannerisms 622 00:28:29,960 --> 00:28:32,840 that remind me of Robert Downey Jr. 623 00:28:32,840 --> 00:28:34,760 especially when he plays Tony Stark. 624 00:28:34,760 --> 00:28:36,320 I am a big fan of Iron Man. 625 00:28:36,320 --> 00:28:38,320 Yeah, he's definitely my favorite superhero. 626 00:28:38,320 --> 00:28:39,720 If somebody goes back and watches this 627 00:28:39,720 --> 00:28:42,760 and compares the way that your eyes move as you think 628 00:28:43,720 --> 00:28:45,320 and between that and the goatee, 629 00:28:45,320 --> 00:28:46,960 I think that's down with it too. 630 00:28:46,960 --> 00:28:51,960 But that element of genius and charisma with your genius, 631 00:28:51,960 --> 00:28:53,280 it correlates. 632 00:28:53,280 --> 00:28:54,480 It was fun to watch. 633 00:28:54,480 --> 00:28:57,480 And that's one that I look at is Robert Downey Jr. 634 00:28:57,480 --> 00:29:02,480 He's one I would add to my list of very similar people. 635 00:29:02,480 --> 00:29:05,240 So anyway, I had to- 636 00:29:05,240 --> 00:29:08,240 Let's keep putting feathers in then. 637 00:29:08,240 --> 00:29:11,240 What's your best experience in business? 638 00:29:13,240 --> 00:29:18,240 There was a startup in Singapore in the education space 639 00:29:18,520 --> 00:29:21,720 who we really believed in. 640 00:29:23,720 --> 00:29:25,000 And they were in education. 641 00:29:25,000 --> 00:29:28,720 Our company, Valhalla.Team specializes in 642 00:29:28,720 --> 00:29:32,720 education, our company Valhalla.Team specializes. 643 00:29:32,720 --> 00:29:35,400 Now we've kind of broadened beyond this point, 644 00:29:35,400 --> 00:29:38,120 but a big part of our brand is that we want to support 645 00:29:38,120 --> 00:29:41,240 purpose-driven companies, companies that are trying 646 00:29:41,240 --> 00:29:43,120 to make an impact in the world for good. 647 00:29:43,120 --> 00:29:46,600 And education is definitely a small hinge 648 00:29:46,600 --> 00:29:49,520 that swings big doors. 649 00:29:49,520 --> 00:29:52,040 I think that it's pretty hard to argue that. 650 00:29:52,040 --> 00:29:59,040 And so this education edutek startup in Singapore, 651 00:29:59,040 --> 00:30:00,680 and we really believed in them. 652 00:30:00,680 --> 00:30:02,840 We really believed in their founders. 653 00:30:02,840 --> 00:30:04,640 They were going through an investment round 654 00:30:04,640 --> 00:30:09,640 and we decided to take a gamble for about eight months 655 00:30:10,480 --> 00:30:12,840 without being paid. 656 00:30:12,840 --> 00:30:14,520 And about eight months in, 657 00:30:14,520 --> 00:30:16,520 they got the investment round closed 658 00:30:16,520 --> 00:30:19,520 and then just big fucking pile of cash. 659 00:30:19,520 --> 00:30:22,040 And it was just such a big like, we believed in you, 660 00:30:22,040 --> 00:30:24,520 you believed in us, we did this, we nailed it. 661 00:30:24,520 --> 00:30:27,640 And it was definitely something we would only 662 00:30:27,640 --> 00:30:29,640 very selectively repeat. 663 00:30:29,640 --> 00:30:33,560 But as far as just like a really good day to have a big lump 664 00:30:33,560 --> 00:30:36,760 hit in the bank account while supporting people who needed it, 665 00:30:36,760 --> 00:30:39,040 doing good things, just everything came together 666 00:30:39,040 --> 00:30:41,040 in a really, really nice way. 667 00:30:41,040 --> 00:30:42,640 Dude, you nailed it. 668 00:30:42,640 --> 00:30:45,960 I mean, that's Alex Ramosi's grand slam off or a situation, 669 00:30:45,960 --> 00:30:50,960 where when you take big bets and you put yourself out, 670 00:30:52,840 --> 00:30:55,200 you might have to swing the bat 20 times 671 00:30:55,200 --> 00:30:57,080 and you strike out 20 times. 672 00:30:57,080 --> 00:30:58,360 But it sounds like in this case, 673 00:30:58,360 --> 00:31:01,200 you may not have had the need to do that, 674 00:31:01,200 --> 00:31:04,120 but it was worth it because in the end, 675 00:31:04,120 --> 00:31:05,520 you got that massive payoff. 676 00:31:05,520 --> 00:31:08,760 And a lot of that has to do with y'all's discipline 677 00:31:08,760 --> 00:31:09,800 of not giving up. 678 00:31:09,800 --> 00:31:14,440 I mean, how easy would it have been to give up on day 30 679 00:31:14,440 --> 00:31:19,440 or to give up on day 90 or to lose faith at six months in 680 00:31:20,440 --> 00:31:25,440 to be rude and blame them seven months in. 681 00:31:27,280 --> 00:31:29,200 Did any opportunities like that come up 682 00:31:29,200 --> 00:31:31,800 that you guys decided, was there anything like that 683 00:31:31,800 --> 00:31:36,800 that occurred where other entrepreneurs can be reminded 684 00:31:37,000 --> 00:31:39,080 to have faith or call people out? 685 00:31:39,080 --> 00:31:44,640 Or what did it take to make that successful? 686 00:31:44,640 --> 00:31:49,440 One of the themes of today's talk has been like mentors 687 00:31:49,440 --> 00:31:52,200 and people to learn from. 688 00:31:52,200 --> 00:31:54,240 So I'll quote Seth Godin. 689 00:31:54,240 --> 00:31:58,000 I think that his book, The Dip is the best book 690 00:31:58,000 --> 00:32:01,760 for thinking about when to push on and when to give up. 691 00:32:03,640 --> 00:32:04,920 Bar none. 692 00:32:04,920 --> 00:32:09,920 I really struggled for the longest time of like, 693 00:32:09,960 --> 00:32:13,120 what is the rule of thumb or the mental heuristic 694 00:32:13,120 --> 00:32:15,000 or the deep, I always think about things in default. 695 00:32:15,000 --> 00:32:16,440 Like what's the default principle? 696 00:32:16,440 --> 00:32:20,080 You can have derivatives of it, but what's like the default, 697 00:32:20,080 --> 00:32:21,320 what does it take to be a good person? 698 00:32:21,320 --> 00:32:25,360 And that's how my brain chews through things. 699 00:32:25,360 --> 00:32:28,320 And so this idea of when do you give up 700 00:32:28,320 --> 00:32:29,840 has really bugged me. 701 00:32:30,720 --> 00:32:32,640 How to like simplify, make it so simple, 702 00:32:32,640 --> 00:32:34,200 the truth you can just hold in your hand 703 00:32:34,200 --> 00:32:35,480 and there it is. 704 00:32:35,480 --> 00:32:38,120 I feel like hopefully I've done that in other areas 705 00:32:38,120 --> 00:32:40,400 of my life, but couldn't find this one. 706 00:32:40,400 --> 00:32:45,400 And the answer is that like that is your job. 707 00:32:45,600 --> 00:32:50,240 Like you can learn how to do just about anything 708 00:32:50,240 --> 00:32:51,840 and then turn your brain off and just run that 709 00:32:51,840 --> 00:32:53,040 as a subroutine. 710 00:32:53,040 --> 00:32:58,040 But the decision of when to quit has to be your neocortex. 711 00:33:00,400 --> 00:33:03,400 That part will never be in the back of the brain 712 00:33:03,400 --> 00:33:05,440 unlike so many other habits and decisions. 713 00:33:05,440 --> 00:33:06,920 That has to be something that you do 714 00:33:06,920 --> 00:33:09,760 on a case by case basis. 715 00:33:09,760 --> 00:33:14,760 And you have to fully own it. 716 00:33:15,840 --> 00:33:17,040 I really believe that. 717 00:33:18,840 --> 00:33:22,320 What goes along with that is some of the principles 718 00:33:22,320 --> 00:33:24,520 to guide your way through it. 719 00:33:24,520 --> 00:33:27,520 I think that there is a lot of wisdom in, 720 00:33:30,680 --> 00:33:32,760 you wanna avoid the sunk cost fallacy. 721 00:33:32,760 --> 00:33:36,840 You wanna look at things as if, 722 00:33:36,840 --> 00:33:40,440 do the mental reset of what if my brain was in a jar? 723 00:33:40,440 --> 00:33:43,520 Like what if I just woke up in a simulation 724 00:33:43,520 --> 00:33:48,520 and today was day one and there was no actual past 725 00:33:49,120 --> 00:33:51,440 or all this installed memories. 726 00:33:51,440 --> 00:33:54,240 Would I have right now in front of me an asset 727 00:33:54,240 --> 00:33:56,720 where it's like, oh, I already have a gold mine 728 00:33:56,720 --> 00:33:57,560 in front of me. 729 00:33:57,560 --> 00:33:59,800 I just have one more foot to carve through 730 00:33:59,800 --> 00:34:04,200 because I've already carved through 200 feet to get here. 731 00:34:04,200 --> 00:34:06,960 So am I like, I'm amazed I've got gold mine 732 00:34:06,960 --> 00:34:08,920 where 200 feet I've already carved through. 733 00:34:08,920 --> 00:34:10,680 Is this an asset or is it like, oh no, 734 00:34:10,680 --> 00:34:13,160 I have some dirt in front of me 735 00:34:13,160 --> 00:34:17,200 that someone else has carved 200 feet doing nothing. 736 00:34:17,200 --> 00:34:20,120 Now, of course the answer is you don't know which one 737 00:34:21,080 --> 00:34:26,080 but you can also know that I think there is a disposition 738 00:34:26,080 --> 00:34:31,080 of people based on the neuroticism to interpret unknown data 739 00:34:32,360 --> 00:34:34,480 in a negative or a positive light 740 00:34:36,240 --> 00:34:39,480 and knowing if you naturally are a little more neurotic 741 00:34:40,400 --> 00:34:42,400 and that's just the clinical definition 742 00:34:42,400 --> 00:34:45,480 that I don't wanna do the baggage along with it 743 00:34:45,480 --> 00:34:48,360 because actually I love hiring neurotic people 744 00:34:48,360 --> 00:34:50,480 because they're scared things are gonna go wrong 745 00:34:50,480 --> 00:34:52,200 before they go wrong and then they fix it. 746 00:34:52,200 --> 00:34:53,160 It's incredible. 747 00:34:53,160 --> 00:34:57,200 So like a lot, like I'm a huge fan of that trait. 748 00:34:57,200 --> 00:35:01,520 In fact, I would actually say that I have it more 749 00:35:01,520 --> 00:35:02,520 than most entrepreneurs. 750 00:35:02,520 --> 00:35:04,520 My business partners are like, nah, it's fine. 751 00:35:04,520 --> 00:35:05,360 We're gonna wing it. 752 00:35:05,360 --> 00:35:09,920 But I'm like, but so I definitely think it's super power 753 00:35:09,920 --> 00:35:12,680 but you wanna interpret. 754 00:35:12,680 --> 00:35:14,880 Malcolm Gladwell calls it the Holy fool 755 00:35:16,000 --> 00:35:18,760 in one of his books, very crazy dark book. 756 00:35:18,760 --> 00:35:19,640 I think you would enjoy it. 757 00:35:19,640 --> 00:35:22,240 I think you would really, really get a lot out of it 758 00:35:22,240 --> 00:35:23,080 as well. 759 00:35:23,080 --> 00:35:23,920 What's the book name? 760 00:35:23,920 --> 00:35:27,360 It's called Talking with Strangers 761 00:35:27,360 --> 00:35:29,800 and I thought it was a self-development book. 762 00:35:29,800 --> 00:35:33,560 It's not, but the amount of history and truth 763 00:35:33,560 --> 00:35:36,960 that is revealed that is just kind of scary and awkward 764 00:35:37,800 --> 00:35:42,800 is like, it's a really important read for world leaders. 765 00:35:43,880 --> 00:35:45,320 And so I would definitely check it out. 766 00:35:45,320 --> 00:35:48,160 The Holy fool is a person in society who, 767 00:35:48,160 --> 00:35:51,000 yeah, like they end up becoming hermits in life usually 768 00:35:51,000 --> 00:35:54,560 because they get obsessed with the idea 769 00:35:54,560 --> 00:35:56,560 of something happening, but they're the types of people 770 00:35:56,560 --> 00:36:00,160 who predict the 9-11 events are gonna happen in the world. 771 00:36:00,160 --> 00:36:02,840 They're the ones who were skeptical enough 772 00:36:02,840 --> 00:36:06,960 to see the effects of what could be happening 773 00:36:06,960 --> 00:36:09,520 under the surface of something at play. 774 00:36:09,520 --> 00:36:13,560 Black swan detectors by being pessimistic 775 00:36:13,560 --> 00:36:15,360 as they are interesting. 776 00:36:15,360 --> 00:36:17,680 Exactly and so these things all overlap. 777 00:36:17,680 --> 00:36:18,920 They're traits that we all, 778 00:36:18,920 --> 00:36:21,200 I think we all possess them within ourselves to some degree 779 00:36:21,200 --> 00:36:22,800 but it's which ones do you cultivate? 780 00:36:22,800 --> 00:36:23,640 I know within yourself, 781 00:36:23,640 --> 00:36:25,800 what do you gravitate towards and wanna be like? 782 00:36:25,800 --> 00:36:26,760 And so thank you. 783 00:36:26,760 --> 00:36:28,520 I'm sorry to steal your path here, but. 784 00:36:28,520 --> 00:36:29,360 No, no, no. 785 00:36:29,360 --> 00:36:30,760 I was like, cool, this is how I associate 786 00:36:30,760 --> 00:36:33,720 and relate to exactly what you're talking about. 787 00:36:33,720 --> 00:36:37,400 There's a great need for balance of appreciation. 788 00:36:37,400 --> 00:36:40,480 And I think Ray Dalio is someone 789 00:36:40,480 --> 00:36:44,040 who has made better decisions than most of the investment 790 00:36:44,040 --> 00:36:47,280 is theoretically just a way to keep track 791 00:36:47,280 --> 00:36:48,760 of your decision-making, right? 792 00:36:48,760 --> 00:36:51,480 So investors often are very clear thinkers. 793 00:36:51,480 --> 00:36:52,520 They have to be. 794 00:36:52,520 --> 00:36:56,000 And while Ray Dalio at this point, truthfully, 795 00:36:56,000 --> 00:36:58,040 he just has a lot of computer algorithms 796 00:36:58,040 --> 00:37:00,000 that they've designed and like he has a lot 797 00:37:00,000 --> 00:37:02,880 of infrastructure beyond what most people have. 798 00:37:04,120 --> 00:37:08,400 His fundamentals is just get more people's brains 799 00:37:08,400 --> 00:37:09,760 on the right decisions. 800 00:37:09,760 --> 00:37:12,880 And so like, if you're wondering to give up, 801 00:37:12,880 --> 00:37:16,160 huge part is just to talk with other people, triangulate, 802 00:37:16,160 --> 00:37:19,440 because you might be a little more neurotic 803 00:37:19,440 --> 00:37:21,960 or less neurotic, and you might wanna talk with people 804 00:37:21,960 --> 00:37:25,680 who are more or less optimistic or just have been through, 805 00:37:25,680 --> 00:37:27,160 gone through where you're going. 806 00:37:27,160 --> 00:37:29,680 You wanna surround yourselves with mentors. 807 00:37:29,680 --> 00:37:34,680 And even if they, just explaining the situation to them, 808 00:37:35,280 --> 00:37:37,560 you're going to verbally process it 809 00:37:37,560 --> 00:37:39,600 in a way that will become clearer in your mind. 810 00:37:39,600 --> 00:37:44,600 And so a big fan of talking with friends and family 811 00:37:44,600 --> 00:37:48,240 if you're like, do I push on or not? 812 00:37:48,240 --> 00:37:51,160 And you gotta cultivate those relationships in your life. 813 00:37:51,160 --> 00:37:53,400 You can do that, which is hard, 814 00:37:53,400 --> 00:37:55,360 but it's not paid dividends. 815 00:37:56,240 --> 00:37:58,620 I'm glad I think you said friends or family. 816 00:37:59,960 --> 00:38:03,840 And I think it's an important word to use is the or, 817 00:38:03,840 --> 00:38:05,760 not everybody has a family that's suited 818 00:38:05,760 --> 00:38:09,040 to talk about familial topics or a family that's suitable 819 00:38:09,040 --> 00:38:12,040 to talk about business topics, but the vice versa 820 00:38:12,040 --> 00:38:13,160 might be true. 821 00:38:13,160 --> 00:38:17,640 And Gary Vaynerchuk talks about having your inner circle 822 00:38:17,640 --> 00:38:21,080 like being the most important aspect of your growth. 823 00:38:21,080 --> 00:38:23,280 And we hear that time and time again 824 00:38:23,280 --> 00:38:25,240 with visionaries that we host, 825 00:38:25,240 --> 00:38:27,720 with great leaders that I talked to or shadow, 826 00:38:27,720 --> 00:38:31,160 but I love that you also talk about mentors 827 00:38:31,160 --> 00:38:34,160 from a sound board experience, 828 00:38:34,160 --> 00:38:35,920 meaning, yeah, they're there to guide 829 00:38:35,920 --> 00:38:38,280 and there's that element that's important. 830 00:38:38,280 --> 00:38:39,560 And they're there to read about 831 00:38:39,560 --> 00:38:41,160 and listen to from a distance. 832 00:38:41,160 --> 00:38:43,680 You just shared about making sure 833 00:38:43,680 --> 00:38:48,200 that you test your subjects of concern. 834 00:38:48,200 --> 00:38:52,240 And by doing so, you often reveal your own answer 835 00:38:52,240 --> 00:38:55,400 as you are the visionary of your life. 836 00:38:55,400 --> 00:38:58,400 And I think that's an important reality 837 00:38:58,400 --> 00:38:59,880 to gravitate towards. 838 00:38:59,880 --> 00:39:04,480 So man, well said. 839 00:39:05,640 --> 00:39:06,640 Thank you for that. 840 00:39:06,640 --> 00:39:08,440 Appreciate it, thanks. 841 00:39:08,440 --> 00:39:12,440 All right, so with that being said, 842 00:39:12,440 --> 00:39:14,440 there's a page I wanted to go to. 843 00:39:14,440 --> 00:39:16,040 I'm gonna pull it up real quick 844 00:39:16,040 --> 00:39:18,680 and we'll dive in with whatever remaining time 845 00:39:18,680 --> 00:39:19,520 we have on it. 846 00:39:19,520 --> 00:39:21,080 Actually, there's two pages I'll pull up. 847 00:39:21,080 --> 00:39:22,920 Let's just do this full screen thing here. 848 00:39:22,920 --> 00:39:23,760 Let's go right over here. 849 00:39:23,760 --> 00:39:24,600 So, yeah. 850 00:39:24,600 --> 00:39:25,440 I am. 851 00:39:27,040 --> 00:39:28,400 That's all right though. 852 00:39:28,400 --> 00:39:31,240 I know people will know to gravitate towards you 853 00:39:31,240 --> 00:39:34,560 as a leader and understand what you're doing. 854 00:39:34,560 --> 00:39:37,960 As a leader and understand that if they wanna get ahead 855 00:39:37,960 --> 00:39:39,960 of AI, then they need to be working with leaders 856 00:39:39,960 --> 00:39:41,000 who know what they're talking about 857 00:39:41,000 --> 00:39:42,360 from a leadership standpoint. 858 00:39:42,360 --> 00:39:44,760 So that's my take on it anyway. 859 00:39:44,760 --> 00:39:45,760 I've got the book now. 860 00:39:45,760 --> 00:39:46,920 DIP is good to go. 861 00:39:46,920 --> 00:39:48,760 The DIP, I'm ready to listen to it. 862 00:39:48,760 --> 00:39:52,600 And let's move over to your page here though, 863 00:39:52,600 --> 00:39:55,440 because you got a speaking topic on here. 864 00:39:55,440 --> 00:39:56,680 Getting ahead of the curve. 865 00:39:56,680 --> 00:40:01,120 Three strategies to create a billion dollar AI company 866 00:40:01,120 --> 00:40:04,200 within three to four minutes. 867 00:40:04,200 --> 00:40:05,040 Go. 868 00:40:05,040 --> 00:40:05,880 Just kidding. 869 00:40:05,880 --> 00:40:06,720 But here it is. 870 00:40:06,720 --> 00:40:09,080 Whatever we can though, let's hit it. 871 00:40:09,080 --> 00:40:10,160 Absolutely. 872 00:40:10,160 --> 00:40:15,160 So these, actually this was a topic I did 873 00:40:15,440 --> 00:40:18,320 on the Conscious Millionaire show. 874 00:40:18,320 --> 00:40:19,840 When you have finished watching this 875 00:40:19,840 --> 00:40:21,440 and then gone back and watched it again, 876 00:40:21,440 --> 00:40:23,240 and then liked and commented and subscribed 877 00:40:23,240 --> 00:40:24,080 and did all that stuff, 878 00:40:24,080 --> 00:40:25,560 then you can go to the Conscious Millionaire show 879 00:40:25,560 --> 00:40:27,040 if you want the long version. 880 00:40:27,040 --> 00:40:32,040 But the two minute version is, 881 00:40:36,280 --> 00:40:39,160 I think there's three basic goggles you can put on 882 00:40:39,160 --> 00:40:42,200 if you want to start an AI product. 883 00:40:43,680 --> 00:40:48,600 One is that you can take these general intelligences 884 00:40:48,600 --> 00:40:50,480 that we created in your large language models 885 00:40:50,480 --> 00:40:51,640 and you can specialize them. 886 00:40:51,640 --> 00:40:52,960 You can fine tune them. 887 00:40:52,960 --> 00:40:56,720 And the ways you can do that are just throwing them out there 888 00:40:56,720 --> 00:40:58,880 is you can make a knowledge base on AI, 889 00:40:58,880 --> 00:41:03,040 which you would basically upload a lot of documents 890 00:41:03,040 --> 00:41:07,640 and material to the AI for the AI to then reference 891 00:41:07,640 --> 00:41:09,560 in all of its communications. 892 00:41:09,560 --> 00:41:10,760 Or you can fine tune it, 893 00:41:10,760 --> 00:41:13,160 which is where you do some extra specialized training 894 00:41:13,160 --> 00:41:14,000 on top. 895 00:41:15,960 --> 00:41:17,280 If you don't know what those terms are, 896 00:41:17,280 --> 00:41:19,960 you can look up fine tuning and knowledge-based AI. 897 00:41:19,960 --> 00:41:23,240 But in broad strokes, it's about taking an AI 898 00:41:23,240 --> 00:41:25,000 that knows everything, 899 00:41:25,000 --> 00:41:27,840 but it might be hard to extract the responses 900 00:41:27,840 --> 00:41:29,120 you're wanting from it. 901 00:41:29,120 --> 00:41:30,320 Because you can do role play. 902 00:41:30,320 --> 00:41:33,560 You can talk like Julius Caesar or William Shakespeare, 903 00:41:33,560 --> 00:41:35,040 or you can talk like anybody, 904 00:41:35,040 --> 00:41:37,320 but you might want to talk to you, 905 00:41:37,320 --> 00:41:40,720 like a lawyer who's really good at specifically Ohio law. 906 00:41:40,720 --> 00:41:42,360 You really want that AI. 907 00:41:42,360 --> 00:41:44,120 So it's about narrowing it down 908 00:41:44,120 --> 00:41:48,000 so you get a more consistent quality in its responses 909 00:41:48,000 --> 00:41:51,560 without having to do fancy prompt engineering, 910 00:41:52,960 --> 00:41:54,120 which is a valuable skill, 911 00:41:54,120 --> 00:41:59,120 but it's one that you might want to be building a product 912 00:42:01,320 --> 00:42:03,480 that doesn't require the user to be doing that. 913 00:42:03,480 --> 00:42:06,280 So taking a broad AI, making it more narrow, 914 00:42:06,280 --> 00:42:08,960 but increasing the consistency of the quality. 915 00:42:08,960 --> 00:42:12,520 That is one strategy that you could be focusing on, 916 00:42:12,520 --> 00:42:13,640 a lens you could be putting on, 917 00:42:13,640 --> 00:42:15,440 and then you can just go to any industry, 918 00:42:15,440 --> 00:42:19,760 a law, medical, those things are resistant to change 919 00:42:19,760 --> 00:42:24,480 due to regulation, but are definitely disruptable. 920 00:42:26,640 --> 00:42:29,720 You can find the industry and then use that as a way 921 00:42:29,720 --> 00:42:32,640 to figure out how you can disrupt it. 922 00:42:32,640 --> 00:42:37,600 The second way is that you can combine AIs together. 923 00:42:37,600 --> 00:42:39,480 And this one, I think will be a little more challenging 924 00:42:39,480 --> 00:42:43,400 for most people, but is quite powerful. 925 00:42:43,400 --> 00:42:48,400 So one thing that's come out in ChadGBT 4.0 926 00:42:48,400 --> 00:42:50,160 is like plugins, for instance. 927 00:42:50,160 --> 00:42:54,120 And there was one plugin that is for plugging into Wolfram. 928 00:42:54,120 --> 00:42:56,920 So Wolfram AI is an AI that is very good 929 00:42:56,920 --> 00:42:59,040 at interpreting your questions, 930 00:42:59,040 --> 00:43:02,440 but then using top-down logic on those questions. 931 00:43:03,760 --> 00:43:06,920 So it's very good at Veritas, 932 00:43:06,920 --> 00:43:10,360 at making things that are mathematically factual, 933 00:43:10,360 --> 00:43:15,360 where the GPT AI is terrible at that, 934 00:43:15,360 --> 00:43:16,960 because it's using more of a bottom-up approach 935 00:43:16,960 --> 00:43:18,520 as opposed to top-down. 936 00:43:18,520 --> 00:43:21,000 And so by taking the strengths of both of those, 937 00:43:21,000 --> 00:43:23,080 you can, like things with that plugin, 938 00:43:23,080 --> 00:43:27,000 you can make something that's better than some of its parts. 939 00:43:27,000 --> 00:43:29,840 One AI that I think does have to be created 940 00:43:31,000 --> 00:43:35,000 is an AI that will exist on top of tools like Mid Journey, 941 00:43:35,000 --> 00:43:36,680 which are terrible if you say, 942 00:43:36,680 --> 00:43:41,680 make a sign for, make a picture of, making this up, 943 00:43:41,680 --> 00:43:46,680 a restaurant called Bucky's Brews. 944 00:43:49,440 --> 00:43:51,640 It will mess up the sign on Bucky's Brews. 945 00:43:51,640 --> 00:43:54,440 It will get a B in there somewhere, maybe even two Bs, 946 00:43:54,440 --> 00:43:56,240 but it's just gonna mess up all the letters, 947 00:43:56,240 --> 00:43:58,640 because its bottom approach doesn't know what words are. 948 00:43:58,640 --> 00:44:01,840 So if you do a secondary AI that can locate that part, 949 00:44:01,840 --> 00:44:04,720 find the part of your prompt, change the words, 950 00:44:04,720 --> 00:44:08,320 that's a second AI existing on the first AI that's specialized. 951 00:44:08,320 --> 00:44:10,240 So you've combined two different AIs. 952 00:44:10,240 --> 00:44:11,080 So- 953 00:44:11,080 --> 00:44:11,920 Wow. 954 00:44:11,920 --> 00:44:14,400 Any ways to combine them, 955 00:44:14,400 --> 00:44:18,360 I think it's gonna create some really amazing products. 956 00:44:18,360 --> 00:44:19,920 And in a way, it's really simulating 957 00:44:19,920 --> 00:44:20,760 the way the human brain works. 958 00:44:20,760 --> 00:44:24,000 And we have a part, we make our decisions 959 00:44:24,000 --> 00:44:26,480 by having a congress of different values 960 00:44:26,480 --> 00:44:27,840 that compete with each other. 961 00:44:27,840 --> 00:44:30,520 And AI is gonna go through a similar evolution. 962 00:44:30,520 --> 00:44:34,200 Then the third goggle you can put on 963 00:44:34,200 --> 00:44:37,880 for finding billion dollar ideas, 964 00:44:37,880 --> 00:44:41,440 or strategies you can deploy to create a billion dollar company, 965 00:44:41,440 --> 00:44:45,400 is that, I don't know about you, 966 00:44:45,400 --> 00:44:50,400 but my experience using AI to create content or create, 967 00:44:53,960 --> 00:44:57,960 create copy, replies to emails, whatever, 968 00:44:57,960 --> 00:45:01,720 has been a moment of, 969 00:45:01,720 --> 00:45:04,000 while I'm writing the prompt so often, 970 00:45:04,000 --> 00:45:09,000 oh gosh, what do I tell it as a context? 971 00:45:09,000 --> 00:45:12,000 Like how do I give it, like, who this person is? 972 00:45:11,120 --> 00:45:13,120 what do I tell it as a context, 973 00:45:12,000 --> 00:45:14,800 How do I even articulate why I care 974 00:45:13,120 --> 00:45:16,440 like how do I give it like who this person is? 975 00:45:14,800 --> 00:45:16,800 what this person thinks, who are they, 976 00:45:16,440 --> 00:45:19,400 How do I even articulate why I care 977 00:45:17,640 --> 00:45:19,200 what parts of my company are relevant? 978 00:45:19,200 --> 00:45:22,520 Like there's a whole world, 979 00:45:19,400 --> 00:45:21,400 what this person thinks, who are they, 980 00:45:22,360 --> 00:45:23,720 what parts of my company are relevant? 981 00:45:22,520 --> 00:45:25,160 which I think was always part of the process. 982 00:45:23,720 --> 00:45:27,160 Like there's a whole world, 983 00:45:25,160 --> 00:45:27,720 It was just hidden because typing took longer. 984 00:45:27,160 --> 00:45:29,800 which I think was always part of the process. 985 00:45:27,720 --> 00:45:30,080 So we had longer time to background type 986 00:45:29,800 --> 00:45:32,360 It was just hidden because typing took longer. 987 00:45:32,360 --> 00:45:35,420 So we had longer time to background process it, 988 00:45:35,420 --> 00:45:38,360 but now when you have to type such a smaller prompt, 989 00:45:38,360 --> 00:45:42,120 All that background processing is condensed in that moment. 990 00:45:44,200 --> 00:45:49,200 And so creating tools that can more easily create prompts 991 00:45:50,400 --> 00:45:55,120 and give it the context so that your brain 992 00:45:55,120 --> 00:46:00,120 doesn't have to go through that pain of creating trouble. 993 00:46:02,720 --> 00:46:05,440 The same thing that you're feeling right now. 994 00:46:05,440 --> 00:46:08,600 I'm serious. 995 00:46:08,600 --> 00:46:11,960 And I get to be the lucky outsider who's like, 996 00:46:11,960 --> 00:46:14,320 oh, it was easy for me to figure out an example 997 00:46:14,320 --> 00:46:18,040 because you're the one creating the reality for me, 998 00:46:18,040 --> 00:46:19,320 but you're trying to condense it 999 00:46:19,320 --> 00:46:21,600 into the finishing of the episode. 1000 00:46:21,600 --> 00:46:23,160 So it's a similar concept. 1001 00:46:23,160 --> 00:46:25,560 And I thought of the movie Her. 1002 00:46:25,560 --> 00:46:27,040 I don't know if you've seen it. 1003 00:46:27,040 --> 00:46:28,640 There's a movie called Her 1004 00:46:28,640 --> 00:46:31,880 and somebody wants to write a letter. 1005 00:46:31,880 --> 00:46:34,800 And she's, and I think he writes letters, 1006 00:46:34,800 --> 00:46:37,000 but the prompt from Her is like, 1007 00:46:37,000 --> 00:46:39,600 well, what's the personality type? 1008 00:46:39,600 --> 00:46:41,280 Is this a delicate letter 1009 00:46:41,280 --> 00:46:43,160 or is this more of a romance letter? 1010 00:46:43,160 --> 00:46:45,400 And it's those prompts that we're used to 1011 00:46:45,400 --> 00:46:47,080 in other forms of devices 1012 00:46:47,080 --> 00:46:51,360 or when we're talking to a strategist or a teacher perhaps 1013 00:46:51,360 --> 00:46:52,600 that's going to guide us like, 1014 00:46:52,600 --> 00:46:54,200 oh, you want to write US history? 1015 00:46:54,200 --> 00:46:56,800 Like, what years are we talking? 1016 00:46:56,800 --> 00:46:58,720 What centuries are we talking? 1017 00:46:58,720 --> 00:47:02,480 The great teachers of the world have the ability, 1018 00:47:02,480 --> 00:47:07,120 like you said, to pull learning knowledge smarts 1019 00:47:07,120 --> 00:47:09,440 into context with clarity. 1020 00:47:09,440 --> 00:47:12,000 And as AI learns how to do that, 1021 00:47:12,000 --> 00:47:16,040 we will unlock new heights and have far less friction 1022 00:47:16,040 --> 00:47:18,120 in terms of what we're trying to create 1023 00:47:18,120 --> 00:47:19,080 with these technologies. 1024 00:47:19,080 --> 00:47:21,680 And you're one of the people leading the way with that. 1025 00:47:21,680 --> 00:47:22,600 And that's amazing. 1026 00:47:24,160 --> 00:47:25,920 Any final thoughts you want to share, Gary? 1027 00:47:25,920 --> 00:47:28,120 Any favorite places for people to connect with you on 1028 00:47:28,120 --> 00:47:30,120 or people welcome to reach out to you on LinkedIn, 1029 00:47:30,120 --> 00:47:31,800 Facebook and elsewhere? 1030 00:47:31,800 --> 00:47:35,760 Yeah, people are welcome to reach out to me on LinkedIn. 1031 00:47:35,760 --> 00:47:40,600 If you are looking to start a new venture in AI, 1032 00:47:40,600 --> 00:47:42,320 right now we're looking for partners 1033 00:47:42,320 --> 00:47:44,200 to potentially start new ventures 1034 00:47:44,200 --> 00:47:47,600 where they plan to exit from them in two to three years. 1035 00:47:47,600 --> 00:47:50,600 Also, if you are a business owner that wants to add AI 1036 00:47:50,600 --> 00:47:53,800 to your company to increase its valuation 1037 00:47:53,800 --> 00:47:56,280 or just make it a better, 1038 00:47:57,840 --> 00:48:01,400 to run better optimized with out, 1039 00:48:01,400 --> 00:48:03,600 maybe you being as involved, 1040 00:48:03,600 --> 00:48:05,720 these are the areas we specialize in. 1041 00:48:05,720 --> 00:48:07,280 You can reach out to me on LinkedIn. 1042 00:48:07,280 --> 00:48:11,560 And if you are wanting to build a software product 1043 00:48:11,560 --> 00:48:12,640 that uses AI, 1044 00:48:12,640 --> 00:48:14,720 I'd recommend you can check out our website. 1045 00:48:14,720 --> 00:48:17,360 It was on the screen earlier, bahala.team. 1046 00:48:17,360 --> 00:48:19,640 And you can also reach out to us there. 1047 00:48:20,640 --> 00:48:21,840 Bahala.team, awesome, man. 1048 00:48:21,840 --> 00:48:25,520 Well, we might be catching up on about CapShow 1049 00:48:25,520 --> 00:48:27,480 and other technologies like that soon enough. 1050 00:48:27,480 --> 00:48:28,720 If you haven't seen that, Garick, 1051 00:48:28,720 --> 00:48:31,680 they are the number one recommended 1052 00:48:31,680 --> 00:48:35,960 artificial intelligence software for podcasters 1053 00:48:35,960 --> 00:48:37,920 by digitalmarketer.com. 1054 00:48:37,920 --> 00:48:40,360 And so they're right there in your wheelhouse 1055 00:48:40,360 --> 00:48:41,600 working on similar things. 1056 00:48:41,600 --> 00:48:44,800 And it'd be fun to bring great minds together 1057 00:48:44,800 --> 00:48:46,720 because we got 8 billion people in this world 1058 00:48:46,720 --> 00:48:47,720 to help my friend. 1059 00:48:47,720 --> 00:48:49,960 So thank you for being willing to do that. 1060 00:48:49,960 --> 00:48:52,400 All you vision pros listening in, 1061 00:48:52,400 --> 00:48:54,560 I hope you get some valuable takeaways out of this 1062 00:48:54,560 --> 00:48:56,040 and write them down. 1063 00:48:56,040 --> 00:48:58,560 See opportunities to apply this to your life. 1064 00:48:58,560 --> 00:49:02,200 And if you need some guidance on AI, 1065 00:49:02,200 --> 00:49:06,320 consider the quality of leaders that Garick mentioned today 1066 00:49:06,320 --> 00:49:08,800 and as feathers in his own cap. 1067 00:49:08,800 --> 00:49:10,360 And Garick, we appreciate you, man. 1068 00:49:10,360 --> 00:49:11,800 Thanks so much for being here. 1069 00:49:11,800 --> 00:49:13,120 Thanks, Jackson. 1070 00:49:13,120 --> 00:49:15,320 You guys all take care, bye. 1071 00:49:15,320 --> 00:49:16,680 Thank you for being here today. 1072 00:49:16,680 --> 00:49:19,200 I'm really happy that you tuned in to Vision Pros Live. 1073 00:49:19,200 --> 00:49:21,840 I'm looking forward to seeing your reactions 1074 00:49:21,840 --> 00:49:24,120 as these episodes continue to move forward. 1075 00:49:24,120 --> 00:49:25,840 This is gonna get more and more fun. 1076 00:49:25,840 --> 00:49:27,640 We'll have more and more engagement as well. 1077 00:49:27,640 --> 00:49:29,680 I invite people to participate in the show 1078 00:49:29,680 --> 00:49:32,040 and thank you for giving us your time and attention. 1079 00:49:32,040 --> 00:49:58,240 Have an excellent time building.