1 00:00:02,279 --> 00:00:05,480 Speaker 1: I'm Will Lucas and this is black tech, green money. 2 00:00:06,360 --> 00:00:10,039 Speaker 1: Kobe Fuller's general partner at Upfront Ventures. He also went 3 00:00:10,080 --> 00:00:13,800 Speaker 1: to Harvard College. He's gotten deep expertise in enterprise software 4 00:00:13,840 --> 00:00:17,160 Speaker 1: as a service, in frontier technologies including AR and VR. 5 00:00:18,320 --> 00:00:21,079 Speaker 1: He was chief marketing officer at Revolved, one of the 6 00:00:21,160 --> 00:00:24,840 Speaker 1: largest global fashioned e commerce players based in LA and 7 00:00:24,880 --> 00:00:28,120 Speaker 1: he's got deep interest in artificial intelligence, and he's placing 8 00:00:28,200 --> 00:00:30,960 Speaker 1: bets on startups building into space and even buildings of 9 00:00:31,000 --> 00:00:34,360 Speaker 1: projects of his own. In VC, you have to be 10 00:00:34,479 --> 00:00:37,200 Speaker 1: drawn to a particular vertical and you want to place 11 00:00:37,280 --> 00:00:40,559 Speaker 1: best that can bring a return. Your speculations have to 12 00:00:40,560 --> 00:00:44,920 Speaker 1: be backed by research. With frontier technologies, there isn't always 13 00:00:44,920 --> 00:00:48,199 Speaker 1: a ton of research available. So what draws Kobe to 14 00:00:48,240 --> 00:00:49,000 Speaker 1: these companies? 15 00:00:49,760 --> 00:00:54,160 Speaker 2: Yeah, it is speculation and it's fun too. It's fun. 16 00:00:54,200 --> 00:00:57,120 Speaker 3: I mean if I'm just investing in a piece of 17 00:00:57,120 --> 00:01:02,720 Speaker 3: technology that is an iteration on any distinct concept, to me, 18 00:01:02,920 --> 00:01:07,160 Speaker 3: that feels, i don't know, just personally somewhat boring and 19 00:01:07,280 --> 00:01:08,400 Speaker 3: not trying. 20 00:01:08,120 --> 00:01:12,120 Speaker 2: To create the future. And so it's really exciting. 21 00:01:12,120 --> 00:01:15,319 Speaker 3: And a privilege about this job as a VC is 22 00:01:15,360 --> 00:01:18,080 Speaker 3: that if you so have the ability to invest in 23 00:01:18,120 --> 00:01:25,039 Speaker 3: frontier technology in what today may seem crazy but tomorrow's 24 00:01:25,120 --> 00:01:29,319 Speaker 3: reality and how the world just operates, and you have 25 00:01:29,400 --> 00:01:30,840 Speaker 3: the privilege of being part of that. 26 00:01:30,880 --> 00:01:34,480 Speaker 2: I mean, that's just fundamentally awesome. So I love meeting. 27 00:01:34,160 --> 00:01:38,640 Speaker 3: With founders that have like the craziest out there idea 28 00:01:38,800 --> 00:01:40,479 Speaker 3: where you look at them like. 29 00:01:40,440 --> 00:01:42,200 Speaker 2: What the what the hell are you talking about? 30 00:01:42,240 --> 00:01:44,880 Speaker 3: Like when I first met or heard the concept of 31 00:01:45,600 --> 00:01:50,080 Speaker 3: when Brendan dearib CEO and founder of Moloculus was building like, 32 00:01:50,200 --> 00:01:52,960 Speaker 3: you know, real true VR for the masses, my first 33 00:01:52,960 --> 00:01:53,640 Speaker 3: reaction was. 34 00:01:53,560 --> 00:01:56,080 Speaker 2: This, like I thought, that's science fiction? Is that really 35 00:01:56,200 --> 00:01:56,800 Speaker 2: a real thing? 36 00:01:56,880 --> 00:02:00,400 Speaker 3: And and and then as remember telling my friends I 37 00:02:00,440 --> 00:02:04,880 Speaker 3: invested in this VR device and no one want to 38 00:02:04,880 --> 00:02:07,240 Speaker 3: hear about it. They're just like, I don't care about 39 00:02:07,280 --> 00:02:09,520 Speaker 3: what thell are you talking about VR? And then before 40 00:02:09,560 --> 00:02:11,720 Speaker 3: you know it like it's a thing or maybe it 41 00:02:11,760 --> 00:02:13,359 Speaker 3: will be a thing. I mean, it's still not actually 42 00:02:13,360 --> 00:02:16,440 Speaker 3: a master market advice, but it's just for me. What's 43 00:02:16,480 --> 00:02:19,040 Speaker 3: inspiring about this job is to have the privilege of 44 00:02:19,040 --> 00:02:23,040 Speaker 3: going on these journeys with founders that want to bring 45 00:02:23,080 --> 00:02:24,120 Speaker 3: the future to the president. 46 00:02:24,280 --> 00:02:25,000 Speaker 2: And that's awesome. 47 00:02:25,520 --> 00:02:29,519 Speaker 1: How does this new conversation we're having having at least 48 00:02:29,520 --> 00:02:32,600 Speaker 1: over the last two or three years with AI being 49 00:02:32,720 --> 00:02:36,800 Speaker 1: on the mainstream consciousness, how does that change if it 50 00:02:36,840 --> 00:02:42,600 Speaker 1: does the decision making process regarding investment strategy. 51 00:02:42,720 --> 00:02:44,919 Speaker 2: So one number of things. 52 00:02:44,919 --> 00:02:50,480 Speaker 3: So AI is in one part front center in a 53 00:02:50,520 --> 00:02:57,160 Speaker 3: manner where everyone has access to it, but in practice 54 00:02:58,560 --> 00:03:05,359 Speaker 3: there's still been so much that of consumer and professional 55 00:03:06,520 --> 00:03:10,880 Speaker 3: audiences have yet to be exposed to. And my job 56 00:03:10,960 --> 00:03:14,160 Speaker 3: is to try to continue to stay on the frontier 57 00:03:14,240 --> 00:03:16,600 Speaker 3: side of things regards to where is the fuck going 58 00:03:17,000 --> 00:03:17,440 Speaker 3: in AI? 59 00:03:17,639 --> 00:03:21,639 Speaker 2: It's not just some interesting thing that you. 60 00:03:21,600 --> 00:03:26,919 Speaker 3: Can wrap around chat GPT that creates some pedestrian app 61 00:03:27,000 --> 00:03:31,120 Speaker 3: that's going to be commoditized tomorrow. To me, it's like 62 00:03:31,320 --> 00:03:35,440 Speaker 3: next level thinking around how can we take what is 63 00:03:35,560 --> 00:03:43,040 Speaker 3: essentially intelligence that's been productized in this nice little delivery 64 00:03:43,120 --> 00:03:47,520 Speaker 3: vehicle being these l ms and where I'm to say 65 00:03:48,480 --> 00:03:52,840 Speaker 3: people large large language models essentially or these foundational models 66 00:03:53,360 --> 00:03:58,000 Speaker 3: that companies like open ai and others have created where 67 00:03:58,480 --> 00:04:04,160 Speaker 3: they've trained a system that you could tap into to 68 00:04:04,560 --> 00:04:10,080 Speaker 3: essentially tap into the knowledge of what right now people 69 00:04:10,120 --> 00:04:12,560 Speaker 3: consider it can be at the level of like PhD 70 00:04:12,840 --> 00:04:17,400 Speaker 3: level intelligence. So it's essentially tapping into a brain that 71 00:04:17,920 --> 00:04:22,279 Speaker 3: has the ability to think and reason in some cases 72 00:04:22,760 --> 00:04:27,520 Speaker 3: performed tasks and the case of CHATCHPT has access to 73 00:04:27,839 --> 00:04:30,960 Speaker 3: all the information on the Internet up until I don't 74 00:04:30,960 --> 00:04:32,359 Speaker 3: know what a certain date is right now, but up 75 00:04:32,400 --> 00:04:35,960 Speaker 3: until a certain date. And so the really interesting thing 76 00:04:36,000 --> 00:04:37,960 Speaker 3: when you could do about that, though, is you think 77 00:04:37,960 --> 00:04:41,040 Speaker 3: about you have this piece of machinery that knows how 78 00:04:41,040 --> 00:04:41,720 Speaker 3: to think and reason. 79 00:04:41,760 --> 00:04:42,839 Speaker 2: By the way, I can't do everything. 80 00:04:42,880 --> 00:04:46,680 Speaker 3: Sometimes it struggles at complex like multi step processes, so 81 00:04:46,720 --> 00:04:49,480 Speaker 3: it's not like this silver bullet. But interesting thing is 82 00:04:49,480 --> 00:04:51,800 Speaker 3: if you take this piece of machinery knowes how to 83 00:04:51,839 --> 00:04:56,479 Speaker 3: think and reason, and then you connect it to like knowledge, 84 00:04:56,560 --> 00:04:59,920 Speaker 3: real like proprietary knowledge that does not exist on the Internet, 85 00:05:00,000 --> 00:05:04,120 Speaker 3: for instance, knowledge around like what is the absolute smartest, 86 00:05:04,200 --> 00:05:08,240 Speaker 3: most seasoned CMO think with regards to how to launch 87 00:05:08,279 --> 00:05:12,680 Speaker 3: some new marketing campaign. Like that knowledge is maybe it's 88 00:05:12,720 --> 00:05:15,039 Speaker 3: buried somewhere on the Internet, but it could be in 89 00:05:15,080 --> 00:05:18,400 Speaker 3: the heads of a season trained CMO who wants to 90 00:05:18,440 --> 00:05:22,520 Speaker 3: productize that and package it up with this delivery vehicle 91 00:05:22,680 --> 00:05:27,599 Speaker 3: being AI and chat GPT or some other mechanism that 92 00:05:27,720 --> 00:05:30,240 Speaker 3: then allows for the average marketer to be able to 93 00:05:30,240 --> 00:05:33,640 Speaker 3: get perspective of on how do they launch a new 94 00:05:33,680 --> 00:05:36,279 Speaker 3: campaign for some product the brain trying to bring the market. 95 00:05:36,680 --> 00:05:39,920 Speaker 3: And so for me, what gets me excited is this 96 00:05:40,000 --> 00:05:46,120 Speaker 3: new layer of productized intelligent intelligence that's available in masses 97 00:05:46,800 --> 00:05:50,920 Speaker 3: that then could be brought a conjunction with knowledge from 98 00:05:50,960 --> 00:05:55,120 Speaker 3: individuals across the planet, any human being that has knowledge 99 00:05:55,560 --> 00:05:57,760 Speaker 3: that then could be delivered in what I consider these 100 00:05:57,760 --> 00:06:02,840 Speaker 3: delivery vessels being could be embodied devices like Humane which 101 00:06:02,880 --> 00:06:05,440 Speaker 3: some people seen as pin that you wear that has 102 00:06:05,520 --> 00:06:08,400 Speaker 3: this kind of overlay AI that walks with you. We 103 00:06:08,440 --> 00:06:10,760 Speaker 3: have an investment in a company that is still in 104 00:06:10,800 --> 00:06:13,520 Speaker 3: stealth that's going after that category, or a different form factor. 105 00:06:13,880 --> 00:06:18,280 Speaker 3: It could be a copilot that is in your applications, 106 00:06:18,320 --> 00:06:21,799 Speaker 3: like Microsoft Word that's giving you assistance as you're writing 107 00:06:21,839 --> 00:06:22,440 Speaker 3: a document. 108 00:06:22,600 --> 00:06:24,640 Speaker 2: It can manifest itself in so many different manners. 109 00:06:24,680 --> 00:06:27,719 Speaker 3: But for me, like I get super excited about being 110 00:06:27,760 --> 00:06:29,960 Speaker 3: able to package up intelligence in a manner I've never 111 00:06:29,960 --> 00:06:32,520 Speaker 3: seen before. It activated through the power of AI in 112 00:06:32,560 --> 00:06:34,200 Speaker 3: these large language of models. 113 00:06:34,360 --> 00:06:36,360 Speaker 1: If that makes sense, you know, it makes total sense, 114 00:06:36,400 --> 00:06:38,120 Speaker 1: and it brings me. I was had to write this 115 00:06:38,120 --> 00:06:39,760 Speaker 1: down because I wanted to make sure It was fully 116 00:06:39,800 --> 00:06:42,680 Speaker 1: thought out question when I was listening to you talk 117 00:06:42,720 --> 00:06:47,480 Speaker 1: and thinking about this is what is the decision making 118 00:06:47,520 --> 00:06:51,599 Speaker 1: process when you approached with these two different things. One 119 00:06:52,120 --> 00:06:55,479 Speaker 1: let's say I'm building a large language model and I'm 120 00:06:55,600 --> 00:06:59,520 Speaker 1: attempting to go compete with Bard or Claude or open AIS, 121 00:06:59,600 --> 00:07:03,000 Speaker 1: CHATGYT or et cetera. What is the decision making process 122 00:07:03,000 --> 00:07:06,120 Speaker 1: you're going to go through if I'm doing that versus 123 00:07:06,440 --> 00:07:11,760 Speaker 1: I'm going to employ an LM for a specific use case. 124 00:07:12,640 --> 00:07:14,040 Speaker 2: Yeah, mice is to make a process. 125 00:07:14,080 --> 00:07:17,000 Speaker 3: If you're trying to go up against open AI or bar, 126 00:07:17,040 --> 00:07:18,480 Speaker 3: it is like, I'm not going to invest in it 127 00:07:18,680 --> 00:07:24,400 Speaker 3: because that that is you know, for some people if 128 00:07:24,400 --> 00:07:27,320 Speaker 3: they want to create a new LM to go after 129 00:07:27,800 --> 00:07:30,800 Speaker 3: that RaSE of the next foundational model, more power to them. 130 00:07:31,200 --> 00:07:34,920 Speaker 3: I am staying more at the application layer of the stacks, 131 00:07:34,960 --> 00:07:38,320 Speaker 3: So take advantage of all the dollars funding these foundational 132 00:07:38,360 --> 00:07:42,760 Speaker 3: models that then are powering the next generation of AI applications. 133 00:07:42,840 --> 00:07:45,760 Speaker 3: So if you're trying to create a foundational model, good 134 00:07:45,840 --> 00:07:50,120 Speaker 3: luck to you. Very ambitious and it's amazing to have ambition. 135 00:07:51,240 --> 00:07:55,080 Speaker 3: But that's not where I'm playing. I'm playing at the 136 00:07:55,200 --> 00:08:00,480 Speaker 3: layer on top around creating unique sets of speriences are 137 00:08:00,560 --> 00:08:04,160 Speaker 3: models based on custom knowledge and contextually relevant sort of 138 00:08:04,320 --> 00:08:07,640 Speaker 3: use cases. And it could be the use case of 139 00:08:07,680 --> 00:08:12,520 Speaker 3: the best sales intelligence to help orchestrate overall sort of 140 00:08:12,520 --> 00:08:16,040 Speaker 3: sales departments selling in a pride software, to a marketing department, 141 00:08:16,080 --> 00:08:19,880 Speaker 3: to a legal department, to different sort of consumer applications. 142 00:08:20,160 --> 00:08:21,800 Speaker 1: No, I love that, and I'm gonna take that one 143 00:08:21,800 --> 00:08:24,560 Speaker 1: step further, because you know, when you have you know, 144 00:08:24,720 --> 00:08:28,880 Speaker 1: these hot topics like we do with AI. Right now, 145 00:08:29,040 --> 00:08:31,880 Speaker 1: every agency, every startup starts to say we and we 146 00:08:31,960 --> 00:08:36,040 Speaker 1: have AI. And even if it's like, you know, very 147 00:08:36,120 --> 00:08:39,800 Speaker 1: rudimentary or whatever, and no shade on those people. But 148 00:08:39,880 --> 00:08:43,760 Speaker 1: I want to know when as as somebody who invests capital, 149 00:08:45,320 --> 00:08:48,120 Speaker 1: what do you see when you read that copy or 150 00:08:48,160 --> 00:08:52,240 Speaker 1: you see those decks as you know, flags orange flags, 151 00:08:52,320 --> 00:08:56,000 Speaker 1: maybe not red, maybe not yellow, but somewhere in between, 152 00:08:56,240 --> 00:08:58,680 Speaker 1: you're like, yeah, I can tell, like, bro, come on, 153 00:08:59,080 --> 00:09:02,079 Speaker 1: there's no real technology here, there's no real innovation. 154 00:09:02,320 --> 00:09:03,240 Speaker 2: Yeah. 155 00:09:03,840 --> 00:09:07,160 Speaker 3: For me, when someone says they have AI, and it's 156 00:09:07,240 --> 00:09:11,960 Speaker 3: not like AI in a true like novel senses, I'm 157 00:09:11,960 --> 00:09:15,760 Speaker 3: looking at the product, it's almost like saying like I 158 00:09:15,800 --> 00:09:16,559 Speaker 3: have electricity. 159 00:09:16,559 --> 00:09:17,840 Speaker 2: It's like great, like you. 160 00:09:17,720 --> 00:09:22,920 Speaker 3: Have AI like like, so, so you're in the game, 161 00:09:23,080 --> 00:09:25,800 Speaker 3: so you actually are like hooked up your you're hooked 162 00:09:25,880 --> 00:09:28,440 Speaker 3: up to like normal life as we know it right now. 163 00:09:30,520 --> 00:09:33,760 Speaker 3: So to me, it's it's not a selling factor and 164 00:09:33,800 --> 00:09:36,720 Speaker 3: for folks to try to make it part of the 165 00:09:36,760 --> 00:09:38,760 Speaker 3: pitch for what they're doing is like I have a 166 00:09:38,840 --> 00:09:40,520 Speaker 3: I and it's like cool, okay. 167 00:09:40,400 --> 00:09:41,400 Speaker 2: So what do you really have? 168 00:09:41,600 --> 00:09:44,160 Speaker 3: Like, yeah, I have a I too, Like so, yeah, 169 00:09:44,200 --> 00:09:46,440 Speaker 3: it's not a it's not a for me. It's all 170 00:09:46,440 --> 00:09:50,160 Speaker 3: about what problem are you trying to solve? And then 171 00:09:50,640 --> 00:09:54,760 Speaker 3: is there anything you've done in a unique manner where 172 00:09:55,360 --> 00:09:59,920 Speaker 3: AI is helping solve that problem? And it relates to 173 00:10:00,240 --> 00:10:05,000 Speaker 3: like technical defensibility. They're like very very very few examples 174 00:10:05,040 --> 00:10:09,280 Speaker 3: of anything right now that has some technical mode. For me, 175 00:10:09,400 --> 00:10:15,040 Speaker 3: like technical modes almost like don't exist. And it all 176 00:10:15,120 --> 00:10:18,240 Speaker 3: is about, first and foremost for me, when I investment 177 00:10:18,240 --> 00:10:20,920 Speaker 3: company as a founder, why are they doing it? Why 178 00:10:20,960 --> 00:10:25,400 Speaker 3: are they uniquely positioned to succeed in building something that 179 00:10:25,440 --> 00:10:27,959 Speaker 3: hopefully changes the world and some fast and hopefully they're 180 00:10:28,000 --> 00:10:30,719 Speaker 3: trying to change the world. And for me, that's what 181 00:10:30,920 --> 00:10:33,080 Speaker 3: drives me in terms of word and playing capital is 182 00:10:33,080 --> 00:10:36,760 Speaker 3: those moonshot ideas that hopefully change the world for the better. 183 00:10:37,400 --> 00:10:39,600 Speaker 1: Yeah, I'm glad you brought up that term mote because 184 00:10:39,600 --> 00:10:41,080 Speaker 1: I was going to ask you about this, like, you know, 185 00:10:41,160 --> 00:10:43,120 Speaker 1: what are some things that you are looking for? So 186 00:10:43,120 --> 00:10:44,599 Speaker 1: I'm asking you to go a level deeper on that. 187 00:10:45,040 --> 00:10:48,679 Speaker 1: What are some criteria you're looking for when you're considering 188 00:10:48,720 --> 00:10:52,119 Speaker 1: an investment, Because there's got to be something that's defensible. 189 00:10:52,160 --> 00:10:54,400 Speaker 1: I know you just mentioned there's not a ton defensible here, 190 00:10:54,600 --> 00:10:58,119 Speaker 1: but something has to be defensible, even if it's the entrepreneur, 191 00:10:58,640 --> 00:11:01,480 Speaker 1: like their unique perspective own the world, Like, talk to 192 00:11:01,520 --> 00:11:01,920 Speaker 1: me about that. 193 00:11:03,600 --> 00:11:07,520 Speaker 3: Yeah, So I look for founders that have some sort 194 00:11:07,559 --> 00:11:12,480 Speaker 3: of superpower, So where do they spike relative to most 195 00:11:12,520 --> 00:11:15,560 Speaker 3: other human beings on the planet that gives them an 196 00:11:15,679 --> 00:11:21,120 Speaker 3: unfair advantage to hopefully exploit that superpower in a way 197 00:11:21,200 --> 00:11:25,600 Speaker 3: that is incredibly relevant towards whatever product that they're building. 198 00:11:27,120 --> 00:11:31,840 Speaker 3: And then outside of that, I did create this acronym 199 00:11:32,360 --> 00:11:36,200 Speaker 3: that encapsulates a little bit of what I consider differentiation 200 00:11:37,000 --> 00:11:40,080 Speaker 3: that you can architect in any product. 201 00:11:40,160 --> 00:11:42,439 Speaker 2: But this exists very much within the world of. 202 00:11:42,440 --> 00:11:47,560 Speaker 3: Software, where it goes down to having these elements that 203 00:11:47,600 --> 00:11:51,200 Speaker 3: I call fabric. So a product when you use it, 204 00:11:51,280 --> 00:11:56,040 Speaker 3: in my opinion, needs to feel just like lightning fasts 205 00:11:56,080 --> 00:11:58,959 Speaker 3: what the F stands for, and it also should be 206 00:11:59,000 --> 00:12:03,120 Speaker 3: incredibly fast the gods to how you onboard yourself, how 207 00:12:03,160 --> 00:12:05,840 Speaker 3: you get to what you need to actually do. Like 208 00:12:05,960 --> 00:12:08,960 Speaker 3: you know, fast products when you use them and you 209 00:12:09,080 --> 00:12:11,880 Speaker 3: love them, and when products are slow, you're like, I 210 00:12:12,000 --> 00:12:13,720 Speaker 3: just don't want to use this thing. It's almost like 211 00:12:13,760 --> 00:12:17,319 Speaker 3: the product is working against you. A stands for addictive 212 00:12:17,440 --> 00:12:20,640 Speaker 3: products should feel almost like video games when you're using them. 213 00:12:20,679 --> 00:12:22,480 Speaker 3: There's like a dopamine hit you get with them in 214 00:12:22,520 --> 00:12:24,280 Speaker 3: a point where it's like you want to go back 215 00:12:24,280 --> 00:12:25,840 Speaker 3: and back and back to it and again and again 216 00:12:25,840 --> 00:12:27,959 Speaker 3: and again. That's kind of what chat GPT does a 217 00:12:28,000 --> 00:12:30,880 Speaker 3: little bit. It turns the addictive nature of what it does. 218 00:12:31,000 --> 00:12:33,559 Speaker 2: It knows you. It can actually personalize experience for you. 219 00:12:33,600 --> 00:12:37,640 Speaker 3: The latest releases of chat GPT that actually this large 220 00:12:37,640 --> 00:12:39,880 Speaker 3: context window where does it forget who you are, which 221 00:12:39,880 --> 00:12:43,640 Speaker 3: is amazing bold. I think products need to have some 222 00:12:43,920 --> 00:12:47,880 Speaker 3: level of boldness regards to the way they look, the 223 00:12:47,920 --> 00:12:50,760 Speaker 3: way they feel, or what they're trying to accomplish. 224 00:12:50,840 --> 00:12:51,640 Speaker 2: In some facet. 225 00:12:52,720 --> 00:12:55,400 Speaker 3: The R stands for rewarding. If the product doesn't have 226 00:12:56,120 --> 00:13:00,000 Speaker 3: clear reward reward to the level that like it's almost 227 00:13:00,120 --> 00:13:03,080 Speaker 3: like you're getting like like a steal for this product. 228 00:13:03,120 --> 00:13:06,360 Speaker 3: For instance, Like I think Calendly is an incredibly rewarding product. 229 00:13:06,400 --> 00:13:09,959 Speaker 3: It's essentially streamlines the way which you can be able 230 00:13:10,000 --> 00:13:14,080 Speaker 3: to schedule events. Imagine if like one day you depended 231 00:13:14,160 --> 00:13:16,839 Speaker 3: on Calendly and someone that takes it away from you, 232 00:13:16,840 --> 00:13:18,840 Speaker 3: You like most people would just like they wouldn't know 233 00:13:18,880 --> 00:13:21,599 Speaker 3: how to operate integrated. 234 00:13:21,720 --> 00:13:23,559 Speaker 2: Integrated is a point where. 235 00:13:23,440 --> 00:13:26,720 Speaker 3: Like, if you were to try to rip this product out, 236 00:13:26,840 --> 00:13:30,520 Speaker 3: like it would totally disrupt your life how you do business. 237 00:13:30,520 --> 00:13:33,679 Speaker 3: Salesforce is one of the best integrated products I can 238 00:13:33,760 --> 00:13:38,640 Speaker 3: think of because they created this thing called the app Exchange, 239 00:13:38,679 --> 00:13:42,680 Speaker 3: which are a myriad of third party products to integrate 240 00:13:42,720 --> 00:13:45,720 Speaker 3: into Salesforce to frankly plug the holes with regards to 241 00:13:45,760 --> 00:13:49,280 Speaker 3: what Salesforce can't do itself, to the point where Salesforce 242 00:13:49,440 --> 00:13:52,000 Speaker 3: is this like central platform that has all these other 243 00:13:52,040 --> 00:13:54,400 Speaker 3: applications built on top of where you try to rip 244 00:13:54,440 --> 00:13:57,600 Speaker 3: out Salesforce, you're done, and then the last item, Yeah, 245 00:13:57,640 --> 00:13:59,480 Speaker 3: you can't the last item though, I think is probably 246 00:13:59,480 --> 00:14:02,080 Speaker 3: the most powerful as community. And so if you think 247 00:14:02,120 --> 00:14:05,920 Speaker 3: about if you as a company are able to create 248 00:14:05,960 --> 00:14:10,600 Speaker 3: a community around your product amongst your users, amongst your customers, 249 00:14:11,280 --> 00:14:15,400 Speaker 3: then it's less a relationship between you the company and 250 00:14:15,440 --> 00:14:18,880 Speaker 3: your users. It's a relationship between users and other users 251 00:14:18,920 --> 00:14:21,160 Speaker 3: in a way that you almost have as movement coming 252 00:14:21,160 --> 00:14:25,280 Speaker 3: together around your product, around your organization that like the 253 00:14:25,320 --> 00:14:29,840 Speaker 3: company becomes almost bigger than itself, and if another company 254 00:14:29,840 --> 00:14:33,600 Speaker 3: comes around, it's offering the same product even better. Many 255 00:14:33,640 --> 00:14:36,680 Speaker 3: times people won't leave that existing product that they're part 256 00:14:36,720 --> 00:14:39,400 Speaker 3: of because it's the community, that's their tribe, that's their people. 257 00:14:39,760 --> 00:14:42,200 Speaker 3: Some people are so fanatical they tattoo like the logo 258 00:14:42,280 --> 00:14:45,040 Speaker 3: onto their arm. And if you could architect all of 259 00:14:45,080 --> 00:14:48,520 Speaker 3: these things into one, it's kind of just like another 260 00:14:48,600 --> 00:14:51,920 Speaker 3: layer on top of like what hopefully maybe a technical 261 00:14:51,960 --> 00:14:54,800 Speaker 3: mode that you think you have, you probably don't. To me, 262 00:14:54,880 --> 00:14:56,880 Speaker 3: it's kind of like a kill shot around how you 263 00:14:56,920 --> 00:14:59,320 Speaker 3: can go out and build a highly defensible company. And 264 00:14:59,320 --> 00:15:02,440 Speaker 3: that's why the companies like Figma I've done incredibly well 265 00:15:02,520 --> 00:15:05,680 Speaker 3: because they've done an incredible job across all. 266 00:15:05,560 --> 00:15:07,560 Speaker 2: Facets of that framework. 267 00:15:07,680 --> 00:15:09,760 Speaker 3: So that's kind of how I think about ways in 268 00:15:09,760 --> 00:15:13,240 Speaker 3: which you could try to create some defensibility Georgia products. 269 00:15:13,680 --> 00:15:16,200 Speaker 1: Yeah, so I was so cool. I was talking to 270 00:15:16,520 --> 00:15:21,520 Speaker 1: Alfonso David, who's like founder of the Black Economic Alliance 271 00:15:21,880 --> 00:15:24,880 Speaker 1: about two weeks ago for this podcast, and I asked 272 00:15:24,920 --> 00:15:29,000 Speaker 1: him the question of, you know, what is he concerned 273 00:15:29,000 --> 00:15:33,000 Speaker 1: about for black people regarding AI. And I expected him 274 00:15:33,000 --> 00:15:35,480 Speaker 1: to give me the response like most people give, like 275 00:15:35,520 --> 00:15:37,080 Speaker 1: you know, it's going to steal jobs, going to do 276 00:15:37,120 --> 00:15:41,240 Speaker 1: all of these things, and his response was, actually, I'm 277 00:15:41,280 --> 00:15:45,120 Speaker 1: afraid that we are not at appropriately taking advantage of 278 00:15:45,160 --> 00:15:48,320 Speaker 1: the opportunity. And I thought that was such a refreshing 279 00:15:48,680 --> 00:15:51,640 Speaker 1: take on it, and so I would position that to 280 00:15:51,720 --> 00:15:55,080 Speaker 1: you also, you can you can pile on on that perspective, 281 00:15:55,160 --> 00:15:58,320 Speaker 1: but what are the things that you are concerned about 282 00:15:59,080 --> 00:16:02,800 Speaker 1: regarding specific Black people and this revolution that we are 283 00:16:02,800 --> 00:16:03,880 Speaker 1: in the early days of. 284 00:16:05,400 --> 00:16:08,440 Speaker 3: Yeah, I'd say, uh, I one thousand percent agree with 285 00:16:08,440 --> 00:16:14,000 Speaker 3: that sentiment as well, but I'd say I have less 286 00:16:14,000 --> 00:16:19,880 Speaker 3: a feeling of concern, but more a feeling of like, 287 00:16:20,720 --> 00:16:24,200 Speaker 3: now's a moment we're living in that like you very 288 00:16:24,280 --> 00:16:27,960 Speaker 3: rarely see in any generation in terms of just this 289 00:16:28,080 --> 00:16:33,000 Speaker 3: level of disruption and sometimes people feel like, oh, like 290 00:16:34,000 --> 00:16:36,440 Speaker 3: the boats left the dock and it's too late, and 291 00:16:37,400 --> 00:16:39,600 Speaker 3: like I'm so far behind and there's no way for 292 00:16:39,640 --> 00:16:42,000 Speaker 3: me to catch up. Like that's not the case right now. 293 00:16:42,600 --> 00:16:45,920 Speaker 3: Like the amount of people I talk to that you 294 00:16:45,920 --> 00:16:49,680 Speaker 3: would think are incredibly informed, like in the weeds of 295 00:16:49,720 --> 00:16:54,200 Speaker 3: like tech, like in Silicon Valley as well, that have 296 00:16:54,400 --> 00:16:56,960 Speaker 3: like no idea some of the basic things are happening 297 00:16:57,040 --> 00:16:59,960 Speaker 3: right now in the world of AI that you also don't. 298 00:17:00,520 --> 00:17:03,520 Speaker 2: You don't need to be like a developer or incredibly 299 00:17:03,600 --> 00:17:07,200 Speaker 2: technical to understand. It's like mind blowing. 300 00:17:07,240 --> 00:17:10,800 Speaker 3: So we're in this world right now of like insane 301 00:17:11,000 --> 00:17:14,480 Speaker 3: information asymmetry, like there's some people who know and there's 302 00:17:14,480 --> 00:17:17,639 Speaker 3: people that don't. If you know, the level of power 303 00:17:17,680 --> 00:17:22,360 Speaker 3: that you have relative to those that don't is it's 304 00:17:22,400 --> 00:17:27,560 Speaker 3: like you're a superhuman amongst like barely even like mortals 305 00:17:27,600 --> 00:17:31,000 Speaker 3: like you are just like you have superpowers, and it's 306 00:17:31,080 --> 00:17:33,679 Speaker 3: up to you whether you want to go out and 307 00:17:33,840 --> 00:17:38,000 Speaker 3: really realize the superpowers that are just laying there for 308 00:17:38,000 --> 00:17:40,440 Speaker 3: you to grab, or you're gonna wait for someone else 309 00:17:40,480 --> 00:17:44,200 Speaker 3: to actually grab them and entrounce you. And so that's 310 00:17:44,240 --> 00:17:47,280 Speaker 3: the opportunity right now that every human being on the 311 00:17:47,320 --> 00:17:50,919 Speaker 3: planet has access to because the amazing thing about like AI, 312 00:17:51,240 --> 00:17:54,840 Speaker 3: like the the barrier in terms of what's there to 313 00:17:54,920 --> 00:17:58,480 Speaker 3: actually access and take advantage of it is like it's 314 00:17:58,600 --> 00:18:00,720 Speaker 3: not very high, it's very minim Like the amount of 315 00:18:00,720 --> 00:18:04,560 Speaker 3: money we spend on like our iPhones and other items 316 00:18:04,640 --> 00:18:08,639 Speaker 3: is like deminimously, that's nothing like AI is not like 317 00:18:08,680 --> 00:18:12,119 Speaker 3: incredibly expensive to actually engage with and utilize. And so 318 00:18:12,640 --> 00:18:16,280 Speaker 3: I just encourage everyone to just jump in, get your 319 00:18:16,280 --> 00:18:20,159 Speaker 3: hands dirty. If you can tell a human being like 320 00:18:20,320 --> 00:18:23,280 Speaker 3: what to do and give them instructions, you can tell 321 00:18:23,600 --> 00:18:26,440 Speaker 3: an AI what to do in terms of being able 322 00:18:26,480 --> 00:18:30,359 Speaker 3: to do tasks or build experiences. Like it's that level 323 00:18:30,560 --> 00:18:34,440 Speaker 3: of just relatability to just human nature, which I think 324 00:18:34,520 --> 00:18:39,520 Speaker 3: is fundamentally awesome, And we'll allow for a different type 325 00:18:39,880 --> 00:18:43,400 Speaker 3: of individual to access and engage the technology than ever before. 326 00:18:43,760 --> 00:18:46,480 Speaker 1: Yeah, as there, you made me think it's something like 327 00:18:46,520 --> 00:18:48,560 Speaker 1: in the early days or at least the again, the 328 00:18:48,600 --> 00:18:52,240 Speaker 1: mainstream early days of like bitcoin. I was talking to 329 00:18:52,280 --> 00:18:55,480 Speaker 1: a friend of mine because it was not efficient or 330 00:18:57,359 --> 00:19:01,800 Speaker 1: very easy to get on and get involved in the blockchain, 331 00:19:02,200 --> 00:19:05,280 Speaker 1: and I remember trying to get in, thinking I'm going 332 00:19:05,359 --> 00:19:07,320 Speaker 1: to be setting up a wallet. I ended up trying. 333 00:19:07,440 --> 00:19:11,359 Speaker 1: I ended up inadvertently downloading the blockchain onto my computer 334 00:19:11,400 --> 00:19:12,840 Speaker 1: because I didn't I didn't know how to get in 335 00:19:13,400 --> 00:19:15,080 Speaker 1: and so, and I was talking to a friend of 336 00:19:15,080 --> 00:19:16,960 Speaker 1: mine and he's like, I don't, like, I can't figure 337 00:19:17,000 --> 00:19:20,000 Speaker 1: this thing out. And he's like, this, that's where the 338 00:19:20,040 --> 00:19:23,119 Speaker 1: money is made on these technologies. He's like, when when 339 00:19:23,160 --> 00:19:28,480 Speaker 1: it's not obvious how to get involved, that's when the people, 340 00:19:28,480 --> 00:19:31,200 Speaker 1: the people who really make the money, that's when they're 341 00:19:31,200 --> 00:19:33,879 Speaker 1: making the money. Because the user interfaces are not fluent, 342 00:19:33,880 --> 00:19:36,720 Speaker 1: they're not designed for the mainstream and et cetera. AI 343 00:19:36,960 --> 00:19:39,840 Speaker 1: feels different what open AI is doing, what Google is 344 00:19:39,880 --> 00:19:43,639 Speaker 1: doing with Microsoft. This feels different. And you don't necessarily 345 00:19:43,680 --> 00:19:46,280 Speaker 1: even know how to code, and so can. 346 00:19:46,200 --> 00:19:48,200 Speaker 2: You talk about easy ways. 347 00:19:48,600 --> 00:19:52,040 Speaker 1: Actual specific things people can do to expose themselves to 348 00:19:52,080 --> 00:19:54,040 Speaker 1: this opportunity. 349 00:19:54,119 --> 00:19:58,240 Speaker 3: Yeah, So I'd recommend if you haven't gone on to 350 00:19:58,359 --> 00:20:03,280 Speaker 3: Chat GPT, which is super basic and like Spring for 351 00:20:03,320 --> 00:20:06,320 Speaker 3: the Plus account, Spring for the account, where it has 352 00:20:06,560 --> 00:20:09,840 Speaker 3: what's called multimodial capabilities, Like you can upload a picture 353 00:20:09,920 --> 00:20:13,879 Speaker 3: and ask chat GPT to give you like feedback on 354 00:20:14,000 --> 00:20:17,760 Speaker 3: the picture, just get a flavor for how all this 355 00:20:17,800 --> 00:20:21,960 Speaker 3: stuff works, and then also get a flavor for how 356 00:20:21,960 --> 00:20:29,560 Speaker 3: you can leverage AI to like teach yourself things like knowledge. 357 00:20:29,680 --> 00:20:33,280 Speaker 3: The ability to acquire knowledge is what's I think incredibly 358 00:20:33,400 --> 00:20:37,760 Speaker 3: viable around AI, Like it can meet you where you 359 00:20:37,840 --> 00:20:41,239 Speaker 3: are and your little sophistication and then teach you in 360 00:20:41,280 --> 00:20:45,520 Speaker 3: a manner that books and YouTube and other things like 361 00:20:45,720 --> 00:20:48,720 Speaker 3: can't do. So just play around with trying to learn 362 00:20:49,080 --> 00:20:52,680 Speaker 3: new concepts through the power of AI. Just on chat GPT, 363 00:20:53,000 --> 00:20:54,760 Speaker 3: do you want to get a little bit more sophisticated. 364 00:20:55,320 --> 00:20:59,800 Speaker 3: There is a tactic that I encourage everyone to try 365 00:20:59,840 --> 00:21:03,880 Speaker 3: to educate themselves around. So there's large language models, which 366 00:21:03,880 --> 00:21:06,480 Speaker 3: are these foundational models like chat, GPT and open AI 367 00:21:07,359 --> 00:21:11,600 Speaker 3: that allow you to interact with intelligence and like the Internet. 368 00:21:12,000 --> 00:21:14,760 Speaker 3: Then there's this tactic called RAG. It stands for retrieval 369 00:21:14,800 --> 00:21:19,640 Speaker 3: Augmented Generation, which allows you to take anybody of content 370 00:21:20,200 --> 00:21:23,520 Speaker 3: that you like curate So it could be like a 371 00:21:23,640 --> 00:21:26,639 Speaker 3: PowerPoint presentation, it could be a book, it could be 372 00:21:26,680 --> 00:21:30,720 Speaker 3: whatever you can think of, and then you pair it 373 00:21:30,760 --> 00:21:34,240 Speaker 3: with a large language model and then you can craft 374 00:21:34,280 --> 00:21:38,439 Speaker 3: yourself your own chat experience that then allows you to 375 00:21:38,920 --> 00:21:42,080 Speaker 3: interact with information like never before possible to give you 376 00:21:42,119 --> 00:21:44,439 Speaker 3: a sense of some of on my own workflow, like 377 00:21:44,480 --> 00:21:47,000 Speaker 3: sometimes and maybe companies coming in to present me to 378 00:21:47,000 --> 00:21:50,440 Speaker 3: present to our partnership on a Monday morning, where say 379 00:21:50,480 --> 00:21:55,439 Speaker 3: my partner brought it in. It's an incredibly technical area 380 00:21:55,520 --> 00:21:57,920 Speaker 3: that I know nothing about, that I spend no time in. 381 00:21:58,040 --> 00:22:01,440 Speaker 3: But it's my job to someone informed ask the tough 382 00:22:01,560 --> 00:22:04,120 Speaker 3: questions because afterwards, as a team, we had a good 383 00:22:04,119 --> 00:22:05,520 Speaker 3: decide whether we can investing or not. 384 00:22:06,080 --> 00:22:07,480 Speaker 2: Sometimes I debubble workflow. 385 00:22:08,200 --> 00:22:10,760 Speaker 3: Why I put it in that company's blog and that website, 386 00:22:11,200 --> 00:22:14,399 Speaker 3: I put it through a RAG pipeline, attach it to 387 00:22:15,400 --> 00:22:20,080 Speaker 3: an LM being CHATYPT, and then I create this prompt. 388 00:22:20,160 --> 00:22:23,639 Speaker 3: PROMPT is basically natural language instructions to tell what the 389 00:22:23,680 --> 00:22:26,680 Speaker 3: AI to do. And I tell the AI like, tell 390 00:22:26,680 --> 00:22:29,440 Speaker 3: me everything I need to know, assume the persona of 391 00:22:29,520 --> 00:22:31,280 Speaker 3: like this company, and I'm gonna ask you all the 392 00:22:31,359 --> 00:22:33,840 Speaker 3: dumbest questions in the world. And then what I do 393 00:22:34,280 --> 00:22:36,600 Speaker 3: is I then get on and I ask all them. 394 00:22:37,560 --> 00:22:39,919 Speaker 3: I'm way way way down the route of getting all 395 00:22:39,920 --> 00:22:41,520 Speaker 3: the basic questions out of the way so I can 396 00:22:41,560 --> 00:22:43,720 Speaker 3: actually ask a tough question. So so it's a basic 397 00:22:43,800 --> 00:22:48,000 Speaker 3: way of understanding how to just access information and knowledge 398 00:22:48,040 --> 00:22:49,760 Speaker 3: in a way that have been done before. And there's 399 00:22:49,760 --> 00:22:53,159 Speaker 3: like there's lots of companies that productize the ability to 400 00:22:53,160 --> 00:22:56,600 Speaker 3: do that. It's going called mind studio, pick Acts, chat Base. 401 00:22:56,760 --> 00:22:59,560 Speaker 3: There's like endless amounts of these things that you can 402 00:22:59,680 --> 00:23:04,280 Speaker 3: use for your own just like superhuman personal AI capabilities. 403 00:23:04,320 --> 00:23:06,439 Speaker 3: I have like literally, like I don't know, like a 404 00:23:06,440 --> 00:23:08,320 Speaker 3: couple of dozen of these things that I ast to 405 00:23:08,400 --> 00:23:11,520 Speaker 3: sometimes for personal help around my day to day workflow 406 00:23:11,560 --> 00:23:13,640 Speaker 3: that I'm not technical, and it's. 407 00:23:13,480 --> 00:23:15,200 Speaker 2: Not hard for anyone to use any things. 408 00:23:15,520 --> 00:23:18,920 Speaker 3: And so those are ways in which you can engage, 409 00:23:19,000 --> 00:23:23,159 Speaker 3: from simple chat GPT to learning about RAG, which I 410 00:23:23,240 --> 00:23:25,040 Speaker 3: encourage everyone to understand what that is. 411 00:23:26,040 --> 00:23:26,280 Speaker 2: Yeah. 412 00:23:26,440 --> 00:23:30,040 Speaker 1: Yeah, So I've found this quote from you that I 413 00:23:30,080 --> 00:23:32,960 Speaker 1: want to remind you of and get your thoughts on it. 414 00:23:33,000 --> 00:23:35,919 Speaker 1: And so you said, if you're not understanding the voice 415 00:23:35,920 --> 00:23:38,280 Speaker 1: of the consumer in a way where you can develop 416 00:23:38,359 --> 00:23:41,280 Speaker 1: product and design for this, what's going to happen is 417 00:23:41,320 --> 00:23:43,479 Speaker 1: you're going to wake up one day and realize that 418 00:23:43,520 --> 00:23:46,600 Speaker 1: you've been leap frogged by someone else who asked you 419 00:23:46,640 --> 00:23:47,320 Speaker 1: remember saying that. 420 00:23:47,320 --> 00:23:52,640 Speaker 2: First of all, it sounds like I said that all. 421 00:23:52,640 --> 00:23:58,439 Speaker 1: Right, And so I would ask you, then, what are 422 00:23:58,520 --> 00:24:01,520 Speaker 1: consumers asking for with AI? Or I guess a better 423 00:24:01,600 --> 00:24:04,400 Speaker 1: question is do we even know yet what we're asking for? 424 00:24:04,560 --> 00:24:08,480 Speaker 1: Or are we being just surprised and delighted by Sam 425 00:24:08,480 --> 00:24:10,399 Speaker 1: Offman and other people. 426 00:24:11,960 --> 00:24:15,320 Speaker 2: Yes, so I'd say again, like AI, I kind of. 427 00:24:16,800 --> 00:24:20,080 Speaker 3: Refer to you a little bit as electricity, So like, 428 00:24:20,160 --> 00:24:24,040 Speaker 3: what do consumers want with now the new electricity? I 429 00:24:24,040 --> 00:24:27,199 Speaker 3: think people still realize realizing what we could power up 430 00:24:27,240 --> 00:24:30,280 Speaker 3: with it, Like what that now we could take with 431 00:24:30,400 --> 00:24:35,840 Speaker 3: AI and to start like lighting up. And some of 432 00:24:35,840 --> 00:24:39,560 Speaker 3: the smartest people on the planet are are still figuring 433 00:24:39,600 --> 00:24:43,760 Speaker 3: this out, understanding how average people can start playing around 434 00:24:43,840 --> 00:24:47,639 Speaker 3: these things and create new novel experiences and concepts that 435 00:24:47,720 --> 00:24:50,000 Speaker 3: are are are groundbreaking, and I see it all the 436 00:24:50,119 --> 00:24:53,920 Speaker 3: time in this job, people finding new ways to leverage AI. 437 00:24:54,080 --> 00:24:57,800 Speaker 3: They solve problems that before people never thought would be possible. 438 00:24:58,400 --> 00:25:02,640 Speaker 3: So this is an indust that is so exciting because 439 00:25:02,680 --> 00:25:08,760 Speaker 3: it's moving so fast and humanity is figuring out what 440 00:25:08,880 --> 00:25:10,720 Speaker 3: to do with it. But in a way it's also 441 00:25:10,800 --> 00:25:12,639 Speaker 3: scary because I don't want to take it there. But 442 00:25:12,720 --> 00:25:14,800 Speaker 3: like there's also like a dark side of the guards 443 00:25:14,920 --> 00:25:19,320 Speaker 3: where else all can go because humanity can build things 444 00:25:19,680 --> 00:25:22,280 Speaker 3: to make humanity better, and they can also build things 445 00:25:22,320 --> 00:25:26,080 Speaker 3: to make humanity worse. And there are ways in which 446 00:25:26,119 --> 00:25:28,560 Speaker 3: you can weaponize in the eye in a manner that 447 00:25:29,000 --> 00:25:35,040 Speaker 3: is honestly incredibly frightening. And my hopes are that we 448 00:25:35,119 --> 00:25:38,560 Speaker 3: don't get to a point where that's run so far 449 00:25:38,600 --> 00:25:40,640 Speaker 3: along in a manner that it's hard to turn back. 450 00:25:41,880 --> 00:25:43,679 Speaker 3: And I don't think it's regulation that's going to be 451 00:25:43,680 --> 00:25:47,760 Speaker 3: able to kind of rain these things in, because I 452 00:25:47,840 --> 00:25:49,920 Speaker 3: don't think we know what we're regulating. 453 00:25:49,960 --> 00:25:51,119 Speaker 2: It's just moving so fast. 454 00:25:51,119 --> 00:25:54,160 Speaker 3: So I think it's up to us and those people 455 00:25:54,600 --> 00:25:58,160 Speaker 3: that are investing or building products here that employ their 456 00:25:58,200 --> 00:26:01,960 Speaker 3: own morals, sentiment and good around like what should we 457 00:26:02,040 --> 00:26:03,719 Speaker 3: be building and what should we not be building? 458 00:26:04,000 --> 00:26:06,200 Speaker 1: I mean just got' step further on that, because even 459 00:26:06,240 --> 00:26:08,479 Speaker 1: if we did regulate, or even if we did have 460 00:26:08,520 --> 00:26:12,320 Speaker 1: a moral compass here domestically, you still got other countries building, 461 00:26:12,359 --> 00:26:15,520 Speaker 1: Like we're not the only people building, hey, II. And 462 00:26:15,600 --> 00:26:18,120 Speaker 1: so how do how do we live in a world? 463 00:26:18,160 --> 00:26:20,320 Speaker 1: I guess, like with nuclear bounds, I guess it's the 464 00:26:20,359 --> 00:26:23,280 Speaker 1: same thing. We can't stop other people from doing this work. 465 00:26:23,960 --> 00:26:26,800 Speaker 2: I don't know that's why. 466 00:26:26,840 --> 00:26:29,920 Speaker 3: That's why we're in such honestly, we're in such charge 467 00:26:30,000 --> 00:26:31,840 Speaker 3: territory some of those things that are like outside of 468 00:26:31,880 --> 00:26:32,400 Speaker 3: her control. 469 00:26:32,560 --> 00:26:34,480 Speaker 2: Like it's uh, it's tough. 470 00:26:34,520 --> 00:26:36,240 Speaker 3: All I know is like my personal part in that 471 00:26:36,400 --> 00:26:38,960 Speaker 3: is Like there's certain companies if I'm pitched, I'm like, oh, 472 00:26:39,040 --> 00:26:41,479 Speaker 3: I'm not gonna I'm not gonna fund that if I 473 00:26:41,480 --> 00:26:45,320 Speaker 3: think that it may not make the world a better place. 474 00:26:45,400 --> 00:26:47,359 Speaker 3: Like there's an example of a company I was pitched 475 00:26:47,400 --> 00:26:54,040 Speaker 3: where it was an AI companion for kids that have 476 00:26:54,160 --> 00:26:58,000 Speaker 3: trouble making friends, and to me, like, it was incredibly 477 00:26:58,040 --> 00:27:00,320 Speaker 3: horrifying the idea. I have two boys six and eight 478 00:27:00,359 --> 00:27:02,960 Speaker 3: years old, them like not going out trying to make 479 00:27:03,000 --> 00:27:05,639 Speaker 3: friends and being in touch with humanity and instead of 480 00:27:05,680 --> 00:27:10,679 Speaker 3: being home like in their rooms talking to their AI 481 00:27:10,920 --> 00:27:13,240 Speaker 3: friend because that's the only person they can make a 482 00:27:13,240 --> 00:27:15,320 Speaker 3: connection with. And you think about what happens if some 483 00:27:15,400 --> 00:27:18,560 Speaker 3: of the startup runs out of VC dollars and then 484 00:27:18,560 --> 00:27:20,720 Speaker 3: has to shut down with all his AI friends die, 485 00:27:21,160 --> 00:27:24,840 Speaker 3: Like it's just like that's not good either. So it's like, 486 00:27:24,920 --> 00:27:28,080 Speaker 3: to me, I think that makes humanity worse in terms 487 00:27:28,119 --> 00:27:32,639 Speaker 3: of like having us be disconnected from one another, you know, 488 00:27:32,760 --> 00:27:36,240 Speaker 3: versus finding ways to leverage AI to further connect us 489 00:27:36,440 --> 00:27:38,600 Speaker 3: with each other and with humanity, which I think there 490 00:27:38,640 --> 00:27:39,760 Speaker 3: are ways in which to do that. 491 00:27:39,800 --> 00:27:40,640 Speaker 2: They're quite powerful. 492 00:27:41,160 --> 00:27:44,639 Speaker 1: SHA have some insights on how AI might be reshaping 493 00:27:44,720 --> 00:27:48,800 Speaker 1: traditional industries, you know, and creating new opportunities for entrepreneurs. 494 00:27:49,320 --> 00:27:51,840 Speaker 1: I'll let you pick which traditional industries you'd like to 495 00:27:51,840 --> 00:27:52,240 Speaker 1: speak on. 496 00:27:53,760 --> 00:27:56,080 Speaker 2: Yeah, I mean, for instance, like a traditional industry. 497 00:27:56,119 --> 00:27:59,679 Speaker 3: We have a company called Laurel that I'm on the 498 00:27:59,680 --> 00:28:05,760 Speaker 3: board of that's using AI to streamline the way law 499 00:28:05,800 --> 00:28:10,359 Speaker 3: firms and lawyers manage the overall time tracking process of 500 00:28:10,400 --> 00:28:16,840 Speaker 3: their work, which right now is incredibly manual and just takes. 501 00:28:16,720 --> 00:28:21,600 Speaker 1: An imperfect day that imperfectly. 502 00:28:19,800 --> 00:28:20,680 Speaker 2: Clearly imperfect. 503 00:28:21,160 --> 00:28:26,320 Speaker 3: And so this application, because it's a piece of software 504 00:28:26,400 --> 00:28:30,720 Speaker 3: that's installed on the computer, it captures all your work, 505 00:28:31,280 --> 00:28:33,639 Speaker 3: it's also on your phone, and then allows you to 506 00:28:33,680 --> 00:28:36,040 Speaker 3: better streamline the process of then taking all the work 507 00:28:36,080 --> 00:28:38,280 Speaker 3: at the end of the day, and then the AI 508 00:28:38,480 --> 00:28:43,280 Speaker 3: to intelligently categorize it, attached it towards clients, and then 509 00:28:43,560 --> 00:28:45,760 Speaker 3: basically and then know how to code it in the 510 00:28:45,800 --> 00:28:48,080 Speaker 3: right way for the billing then just give you back 511 00:28:48,080 --> 00:28:50,280 Speaker 3: a lot of your day and have incredibly high accurity 512 00:28:50,320 --> 00:28:52,719 Speaker 3: in regards to how you're going about the billing process, 513 00:28:52,760 --> 00:28:55,520 Speaker 3: Like that's something that only AI can do in terms 514 00:28:55,560 --> 00:28:57,800 Speaker 3: of being able to intelligently go through all. 515 00:28:57,720 --> 00:28:59,280 Speaker 2: That that workflow. 516 00:29:00,800 --> 00:29:05,040 Speaker 3: Another company that's building AI to help the overall sales 517 00:29:05,080 --> 00:29:11,000 Speaker 3: process for both sales managers and aes to be better 518 00:29:11,040 --> 00:29:14,040 Speaker 3: informed the guards to how they talk to new accounts 519 00:29:14,120 --> 00:29:18,280 Speaker 3: or just sting accounts, what are the best value drivers 520 00:29:18,320 --> 00:29:21,800 Speaker 3: they should articulating in a sales conversation, and also knowing 521 00:29:21,840 --> 00:29:24,880 Speaker 3: which accounts they should be spending time on versus deprioritizing 522 00:29:25,280 --> 00:29:28,800 Speaker 3: leveraging third party signals that potentially could give triggers around 523 00:29:28,800 --> 00:29:31,200 Speaker 3: folks getting into buyer modes to do that in a 524 00:29:31,200 --> 00:29:36,040 Speaker 3: way that is also orchestrated for managers to better know 525 00:29:36,080 --> 00:29:38,320 Speaker 3: how to allocate players in the field in terms of 526 00:29:38,480 --> 00:29:41,800 Speaker 3: who's doing well, who's not doing well, who to promote, 527 00:29:41,880 --> 00:29:45,000 Speaker 3: who to potentially fire, And that's something where AI is 528 00:29:45,240 --> 00:29:48,560 Speaker 3: creating this unique orchestration layer on top of a full 529 00:29:48,440 --> 00:29:52,480 Speaker 3: on department. So that's the two examples that you know, 530 00:29:52,520 --> 00:29:55,520 Speaker 3: we're seeing I'm seeing my friend who formerly a CMO 531 00:29:55,560 --> 00:29:59,360 Speaker 3: at Revolve. They're using AI all over the place of 532 00:29:59,400 --> 00:30:04,560 Speaker 3: the guards, to fashion design of the full on apparel assortment, 533 00:30:05,000 --> 00:30:10,040 Speaker 3: to their social media campaigns, the collateral Like, there's lots 534 00:30:10,080 --> 00:30:13,280 Speaker 3: of amazing ways that revolves, even in public talking about 535 00:30:13,280 --> 00:30:17,520 Speaker 3: how they're embraced AI in a meaningful manner, even from 536 00:30:17,560 --> 00:30:22,560 Speaker 3: AI influencers that are showing up in Coachella ad campaigns 537 00:30:22,560 --> 00:30:25,160 Speaker 3: for instance, which is a meaningful time of year for them. 538 00:30:25,240 --> 00:30:27,760 Speaker 3: So it's it's it's it's affect infecting everywhere in a 539 00:30:27,760 --> 00:30:29,920 Speaker 3: way that's quite meaningful and exciting. 540 00:30:31,160 --> 00:30:34,440 Speaker 1: Do you believe you know, there's this Silicon Valley, and 541 00:30:34,480 --> 00:30:36,840 Speaker 1: I believe it was originated out of Silicon Valley, this 542 00:30:36,920 --> 00:30:41,840 Speaker 1: concept of universal basic income. Do you believe we are 543 00:30:41,920 --> 00:30:45,880 Speaker 1: speeding towards a world where that might actually be necessary? 544 00:30:45,960 --> 00:30:49,520 Speaker 1: Because AI will replace so many of you know, jobs 545 00:30:49,560 --> 00:30:51,800 Speaker 1: on the lower you know, and even some of the 546 00:30:51,840 --> 00:30:53,280 Speaker 1: middle realm jobs. 547 00:30:53,640 --> 00:30:56,880 Speaker 3: It's a good question. I don't know if I have 548 00:30:56,960 --> 00:31:01,360 Speaker 3: a great answer for that, because you'll hear many people 549 00:31:01,400 --> 00:31:06,400 Speaker 3: say that AI is going to give more people time 550 00:31:06,520 --> 00:31:12,080 Speaker 3: back that was otherwise spent doing like remedial work, and 551 00:31:13,400 --> 00:31:15,280 Speaker 3: there's not going to be this notion of. 552 00:31:16,840 --> 00:31:19,760 Speaker 2: Job loss. But no, there's going to there are going 553 00:31:19,840 --> 00:31:25,080 Speaker 2: to be certain industries and professions that are just wiped 554 00:31:25,080 --> 00:31:31,040 Speaker 2: out because of what AI is able to do. Whether 555 00:31:31,440 --> 00:31:36,600 Speaker 2: those individuals then have the ability to enter into new 556 00:31:36,720 --> 00:31:40,280 Speaker 2: jobs that are created because of what's happening with this 557 00:31:40,360 --> 00:31:43,480 Speaker 2: technology and it's going to need it all self out, 558 00:31:43,520 --> 00:31:43,920 Speaker 2: I don't know. 559 00:31:44,000 --> 00:31:46,920 Speaker 3: I don't know how the overall economics of this play 560 00:31:46,960 --> 00:31:51,560 Speaker 3: out from a labor perspective, and part of this also 561 00:31:51,640 --> 00:31:56,640 Speaker 3: has to do at a rate by which there's job 562 00:31:56,720 --> 00:31:58,880 Speaker 3: loss versus job creation from the. 563 00:31:58,840 --> 00:32:00,600 Speaker 2: Power of AIKE. 564 00:32:03,080 --> 00:32:06,680 Speaker 3: My gut is that we're gonna see and I don't 565 00:32:06,680 --> 00:32:10,600 Speaker 3: think we hit it just yet. Potentially a massive exponential 566 00:32:10,640 --> 00:32:16,360 Speaker 3: effect from AI with regards to displacement of labor where 567 00:32:16,680 --> 00:32:20,360 Speaker 3: there could be that imbalance that then could justify exactly 568 00:32:20,440 --> 00:32:23,840 Speaker 3: what you're talking about there in terms of having some 569 00:32:24,000 --> 00:32:27,640 Speaker 3: level of economic support for folks throughout jobs. But I 570 00:32:27,680 --> 00:32:30,160 Speaker 3: don't know, Honestly, It's like I spend a lot less 571 00:32:30,200 --> 00:32:36,880 Speaker 3: time thinking about that, and my gut has been unfortunately 572 00:32:36,920 --> 00:32:38,160 Speaker 3: like it's probably going to. 573 00:32:38,120 --> 00:32:39,280 Speaker 2: Be a problem. 574 00:32:39,320 --> 00:32:43,640 Speaker 3: But I'd say a majority of folks when asked this question, 575 00:32:43,760 --> 00:32:45,600 Speaker 3: seem to think that it all nets itself out. 576 00:32:45,640 --> 00:32:46,640 Speaker 2: But I'm a skeptic on that. 577 00:32:47,040 --> 00:32:50,640 Speaker 1: When you think about black founders and the opportunities that 578 00:32:50,680 --> 00:32:55,520 Speaker 1: we are faced with regarding AI, what unique opportunities are 579 00:32:55,560 --> 00:32:59,200 Speaker 1: we faced with as founders and particularly those with a 580 00:32:59,240 --> 00:33:00,080 Speaker 1: lot of melon. 581 00:33:02,760 --> 00:33:06,600 Speaker 2: Unique opportunity. Honestly, I'll go back to it like. 582 00:33:08,640 --> 00:33:14,360 Speaker 3: AI is accessible for the most part to everyone and 583 00:33:17,440 --> 00:33:21,200 Speaker 3: regardless of your your race in this situation like this 584 00:33:21,280 --> 00:33:23,800 Speaker 3: is this is like an equalizer moment. This is a 585 00:33:23,840 --> 00:33:27,320 Speaker 3: moment where it's like I can take this tech and 586 00:33:27,560 --> 00:33:32,240 Speaker 3: I can use this to my advantage to harness superhuman 587 00:33:32,320 --> 00:33:38,040 Speaker 3: capabilities either myself personally or in my team members or 588 00:33:38,040 --> 00:33:44,040 Speaker 3: even synthetic workers to accomplish and build value to the 589 00:33:44,160 --> 00:33:48,000 Speaker 3: level where many people talk about there being the ability 590 00:33:48,120 --> 00:33:54,440 Speaker 3: to build companies with far less employees, the point where 591 00:33:54,440 --> 00:33:57,320 Speaker 3: like we're going to see a unicorn business with like 592 00:33:57,440 --> 00:34:00,680 Speaker 3: one or two employees, Like I feel like there's gonna 593 00:34:00,680 --> 00:34:04,800 Speaker 3: be like there's not gonna be as much need for 594 00:34:04,960 --> 00:34:09,560 Speaker 3: like capital from like folks like me to start lots 595 00:34:09,600 --> 00:34:13,560 Speaker 3: of businesses because depending on how AI is being used, 596 00:34:13,920 --> 00:34:15,879 Speaker 3: there's an efficient way and by which you can actually 597 00:34:15,960 --> 00:34:18,520 Speaker 3: build a company and create value that you never can 598 00:34:18,600 --> 00:34:23,360 Speaker 3: before do so this is a moment where I encourage founders, 599 00:34:23,400 --> 00:34:26,600 Speaker 3: especially black founders, to realize, like this is like this 600 00:34:26,680 --> 00:34:29,600 Speaker 3: equalizing moment that we haven't seen for a while, that 601 00:34:29,719 --> 00:34:34,520 Speaker 3: like jump on, move fast. There's an element of arbitrage 602 00:34:34,560 --> 00:34:37,760 Speaker 3: here as well, Like there's some ideas that I've seen 603 00:34:38,360 --> 00:34:43,040 Speaker 3: where it literally is this arbitraging a category where someone 604 00:34:43,120 --> 00:34:45,960 Speaker 3: hasn't realized that you can use AI to do X 605 00:34:46,040 --> 00:34:48,440 Speaker 3: in their first over advantage and they're the ones to 606 00:34:48,480 --> 00:34:51,200 Speaker 3: bring this magical experience to life that the end customer 607 00:34:51,280 --> 00:34:54,439 Speaker 3: even realized as possible, and they're monetizing. Like these types 608 00:34:54,480 --> 00:34:58,560 Speaker 3: of opportunities are everywhere, and lots of them are not 609 00:34:58,800 --> 00:35:04,160 Speaker 3: like venture scale business, but there are incredible businesses to 610 00:35:04,280 --> 00:35:08,200 Speaker 3: be running. And so I would just encourage everyone to 611 00:35:08,239 --> 00:35:11,080 Speaker 3: just realize, like, now's an incredible moment right now to 612 00:35:11,120 --> 00:35:13,759 Speaker 3: be a founder, to be building, to jump full on 613 00:35:13,840 --> 00:35:18,840 Speaker 3: in get yourself uncomfortable with the guards to the knowledge 614 00:35:18,880 --> 00:35:20,879 Speaker 3: that you're forcing yourself to learn. But then you'll start 615 00:35:20,920 --> 00:35:24,960 Speaker 3: realizing like it's actually not that intimidating. 616 00:35:25,239 --> 00:35:26,680 Speaker 2: You'll start pulling on the thread. 617 00:35:27,239 --> 00:35:30,600 Speaker 3: And what's happened to me for the first time for 618 00:35:30,640 --> 00:35:32,520 Speaker 3: a long time in my career. I actually feel like 619 00:35:32,560 --> 00:35:34,960 Speaker 3: I'm getting smarter, and I'm getting smarter at a faster 620 00:35:35,120 --> 00:35:39,240 Speaker 3: rate because I'm adopting an embracing AI at a level 621 00:35:39,440 --> 00:35:43,279 Speaker 3: that I also know is far greater than most of 622 00:35:43,320 --> 00:35:43,880 Speaker 3: my peers. 623 00:35:43,960 --> 00:35:45,319 Speaker 2: And like anyone can do this. 624 00:35:45,800 --> 00:35:47,279 Speaker 3: It's all a matter of whether you choose to do 625 00:35:47,440 --> 00:35:50,200 Speaker 3: or not and embrace it versus be afraid it's gonna 626 00:35:50,200 --> 00:35:50,719 Speaker 3: take your job. 627 00:36:07,160 --> 00:36:09,560 Speaker 1: Black Tech Green Money is a production of Blavity Afro 628 00:36:09,719 --> 00:36:12,720 Speaker 1: Tech on the Black Effect podcast Network and i Our Media. 629 00:36:12,960 --> 00:36:16,239 Speaker 1: It's produced by Morgan Debonne and me Well Lucas, with 630 00:36:16,360 --> 00:36:20,680 Speaker 1: additional production support by Sarah Ergin and Love Beach. Special 631 00:36:20,719 --> 00:36:23,680 Speaker 1: thank you to Michael Davis and Kate McDonald. Learn more 632 00:36:23,680 --> 00:36:25,800 Speaker 1: about my yess and other tech. Disrupt is an innovators 633 00:36:25,800 --> 00:36:29,200 Speaker 1: at afrotech dot com. The video version of this episode 634 00:36:29,239 --> 00:36:31,440 Speaker 1: will drop to Black Tech Green Money on YouTube to 635 00:36:31,640 --> 00:36:37,200 Speaker 1: tap in enjoying Black Tech Green Money, Share this with somebody, 636 00:36:38,160 --> 00:36:40,560 Speaker 1: Go get your money. Peace of luck.