1 00:00:00,560 --> 00:00:01,240 Speaker 1: Taking a Walk. 2 00:00:01,400 --> 00:00:05,360 Speaker 2: There are practices, right, so, there are practices for fame creation, 3 00:00:06,240 --> 00:00:11,480 Speaker 2: there are practices for wealth creation. There are practices for 4 00:00:12,080 --> 00:00:17,520 Speaker 2: skill development, and there are practices for being able to 5 00:00:17,520 --> 00:00:23,000 Speaker 2: communicate powerfully with your audience on stage stage presence. 6 00:00:23,600 --> 00:00:25,440 Speaker 3: There are all these different. 7 00:00:25,120 --> 00:00:30,760 Speaker 2: Skills that have to come together in order for us 8 00:00:30,840 --> 00:00:35,879 Speaker 2: to have a recording artist that everybody knows or has 9 00:00:35,880 --> 00:00:36,280 Speaker 2: heard about. 10 00:00:36,320 --> 00:00:39,480 Speaker 1: Welcome to this episode of the Taking a Walk Podcast, 11 00:00:39,760 --> 00:00:43,080 Speaker 1: the show where your host Buzz Night talks with musicians 12 00:00:43,120 --> 00:00:46,720 Speaker 1: inside us and entrepreneurs who are building the next generation 13 00:00:46,920 --> 00:00:51,560 Speaker 1: of creative technological breakthroughs. Today, Buzz speaks with Marcus Bell 14 00:00:51,640 --> 00:00:56,680 Speaker 1: Ringer Bell. Marcus is a producer, technologist, songwriter, and activist 15 00:00:56,960 --> 00:01:00,760 Speaker 1: who's worked with folks like Katie Perry, Snoop Dogg, Timbaland, 16 00:01:01,000 --> 00:01:04,319 Speaker 1: Nicki Minaj and others. Marcus is the creator of the 17 00:01:04,360 --> 00:01:07,680 Speaker 1: world's first AI Superstar, and he's going to tell us 18 00:01:07,680 --> 00:01:11,760 Speaker 1: about that and his amazing career. Here's Buzz with Marcus 19 00:01:11,800 --> 00:01:14,080 Speaker 1: Bellringer Bell on Taking a Walk. 20 00:01:15,800 --> 00:01:19,200 Speaker 4: Marcus Bell, mister Bell Ringer, it's so nice to have 21 00:01:19,240 --> 00:01:21,040 Speaker 4: you on the Taken Walk podcast. 22 00:01:21,120 --> 00:01:24,800 Speaker 2: Sir, thanks so much for having me. I'm looking forward 23 00:01:24,840 --> 00:01:26,039 Speaker 2: to our conversation together. 24 00:01:26,360 --> 00:01:29,760 Speaker 4: So tell us about your journey from a child prodigy 25 00:01:30,200 --> 00:01:35,000 Speaker 4: pianist to becoming this successful music producer and entrepreneur. 26 00:01:35,920 --> 00:01:39,319 Speaker 3: Well, it started from my mother's womb. 27 00:01:40,600 --> 00:01:45,920 Speaker 2: From what I understand, my family told me that they 28 00:01:46,000 --> 00:01:49,840 Speaker 2: used to play coastical music when she was pregnant, and 29 00:01:50,280 --> 00:01:56,640 Speaker 2: every night they'll be costcical music playing, and I guess 30 00:01:57,080 --> 00:02:01,640 Speaker 2: you know, when the embryo is forming and all of that. Right, 31 00:02:02,000 --> 00:02:07,520 Speaker 2: It's like everything that's outside somehow ends up affecting the inside. 32 00:02:08,480 --> 00:02:14,080 Speaker 2: And so so when I was two years old, they 33 00:02:14,200 --> 00:02:19,280 Speaker 2: had moved my grandmother's piano to our place in Norfolk, 34 00:02:19,320 --> 00:02:27,560 Speaker 2: Virginia at that time, and basically most kids when they 35 00:02:27,600 --> 00:02:29,880 Speaker 2: go to a piano at two years old. I have 36 00:02:29,880 --> 00:02:32,680 Speaker 2: a nine year old daughter. When she was two years old, 37 00:02:33,160 --> 00:02:35,840 Speaker 2: I saw what she did. She like banged on the piano. 38 00:02:37,120 --> 00:02:40,360 Speaker 2: When I went to the piano, I took one finger 39 00:02:40,800 --> 00:02:44,480 Speaker 2: and pressed down the key, and then took two fingers 40 00:02:44,480 --> 00:02:48,880 Speaker 2: and pressed down the key. And immediately they said, oh, 41 00:02:48,960 --> 00:02:54,440 Speaker 2: my goodness, something different is happening here. That's not what 42 00:02:54,480 --> 00:02:58,840 Speaker 2: we expected. And so they decided to put me in 43 00:02:58,880 --> 00:03:06,440 Speaker 2: piano lessons at two years old and one of the 44 00:03:06,480 --> 00:03:12,079 Speaker 2: capacities that I had that I recognize now is one 45 00:03:12,120 --> 00:03:15,440 Speaker 2: of my unique abilities is the ability to focus for 46 00:03:15,560 --> 00:03:19,440 Speaker 2: long periods of time. So they could put rocks in 47 00:03:19,440 --> 00:03:22,400 Speaker 2: front of me and I could just focus on the 48 00:03:22,520 --> 00:03:27,160 Speaker 2: rocks or put pennies in front of me, and those 49 00:03:27,160 --> 00:03:28,079 Speaker 2: are some of the things that. 50 00:03:28,000 --> 00:03:28,760 Speaker 3: I used to play with. 51 00:03:29,560 --> 00:03:32,320 Speaker 2: I used to play with stacks, stacks of pennies and 52 00:03:32,360 --> 00:03:37,400 Speaker 2: so forth, and so so basically I had this child 53 00:03:37,560 --> 00:03:43,000 Speaker 2: prodigy upbringing where it was all about classical. 54 00:03:42,640 --> 00:03:47,720 Speaker 3: Music, and then I. 55 00:03:46,480 --> 00:03:51,520 Speaker 2: Wanted to do something else because the kids at school 56 00:03:51,880 --> 00:03:57,480 Speaker 2: weren't really interested in my classical music. They wanted to 57 00:03:57,480 --> 00:04:01,600 Speaker 2: hear Michael Jackson or whatever was popular in that moment, right, 58 00:04:02,320 --> 00:04:06,720 Speaker 2: And I did not know how to play that, and 59 00:04:06,760 --> 00:04:11,480 Speaker 2: I wanted to learn how to play that. And so 60 00:04:11,520 --> 00:04:17,159 Speaker 2: my mother, who was a prodigy tennis player, So she 61 00:04:17,320 --> 00:04:20,120 Speaker 2: was a tennis prodigy and played in the US Open. 62 00:04:22,000 --> 00:04:25,000 Speaker 2: It was Forrest Green back then in the sixties, and 63 00:04:25,120 --> 00:04:28,080 Speaker 2: she used to tour the country with Arthur ashe and 64 00:04:28,200 --> 00:04:31,120 Speaker 2: it was two years from the moment that she had 65 00:04:31,160 --> 00:04:33,599 Speaker 2: a racket in her hand to she was playing in 66 00:04:33,600 --> 00:04:37,440 Speaker 2: the US Open. And so she was a tennis prodigy, right, 67 00:04:38,160 --> 00:04:42,440 Speaker 2: So she recognized that in me as a music prodigy, 68 00:04:43,600 --> 00:04:49,520 Speaker 2: and so she nurtured an environment for that to develop 69 00:04:49,920 --> 00:04:50,720 Speaker 2: and flourish. 70 00:04:51,560 --> 00:04:55,520 Speaker 5: Did you also learn your intense curiosity from your mom 71 00:04:55,600 --> 00:04:56,000 Speaker 5: as well? 72 00:04:57,000 --> 00:04:57,880 Speaker 3: Absolutely? 73 00:04:58,960 --> 00:05:03,760 Speaker 2: Absolutely, Because later in her life she became a grant writer, 74 00:05:04,520 --> 00:05:08,000 Speaker 2: and so she used to write grants for organizations and 75 00:05:08,080 --> 00:05:12,479 Speaker 2: she raised millions of dollars for different organizations. And I 76 00:05:12,600 --> 00:05:17,719 Speaker 2: used to see her deep dive do what I call 77 00:05:17,880 --> 00:05:22,479 Speaker 2: intentional imbalance, and that's when you have an interest in 78 00:05:22,560 --> 00:05:26,520 Speaker 2: something and you basically go all in on that something. 79 00:05:27,120 --> 00:05:29,000 Speaker 3: Right, So I used to see her do that. 80 00:05:29,600 --> 00:05:33,279 Speaker 2: And because if whether it was an organization that was 81 00:05:33,279 --> 00:05:37,839 Speaker 2: dealing with HIV AIDS or homelessness, or she would basically 82 00:05:37,880 --> 00:05:41,200 Speaker 2: become a field expert. She would read all the books 83 00:05:41,200 --> 00:05:42,200 Speaker 2: that she can get her hands on. 84 00:05:42,320 --> 00:05:43,320 Speaker 3: She look at the. 85 00:05:43,200 --> 00:05:46,840 Speaker 2: Research paper, she do look at the studies and all 86 00:05:46,839 --> 00:05:49,279 Speaker 2: those types of things. Because of course she was gathering 87 00:05:49,400 --> 00:05:56,240 Speaker 2: data to make proposals. And so I developed that capacity 88 00:05:56,279 --> 00:06:00,400 Speaker 2: as well. And so when it came to me music, 89 00:06:00,760 --> 00:06:04,960 Speaker 2: I would deep dive into a genre. So when I 90 00:06:04,960 --> 00:06:08,760 Speaker 2: shifted to jazz, I deep dove into jazz piano. So 91 00:06:08,800 --> 00:06:12,720 Speaker 2: Oscar Peterson and you know all these different jazz musicians 92 00:06:12,960 --> 00:06:17,880 Speaker 2: I studied and imitated and then started to create my 93 00:06:17,960 --> 00:06:21,839 Speaker 2: own style. And then same thing happened when I began producing. 94 00:06:22,080 --> 00:06:26,240 Speaker 2: And I started producing music and writing songs when I 95 00:06:26,279 --> 00:06:31,279 Speaker 2: was eight years old. And so I would deep dive into. 96 00:06:30,960 --> 00:06:32,440 Speaker 3: A producer's music. 97 00:06:32,600 --> 00:06:35,680 Speaker 2: So whether it's Quincy Jones, I would, you know, get 98 00:06:35,680 --> 00:06:40,000 Speaker 2: into his catalog or or a recording artist, so James Brown, 99 00:06:40,240 --> 00:06:44,600 Speaker 2: I would do so much James Brown. And so when 100 00:06:44,640 --> 00:06:50,320 Speaker 2: I started producing and experimenting, I would go through what 101 00:06:50,400 --> 00:06:54,560 Speaker 2: I call this kind of a three phase process, and 102 00:06:54,800 --> 00:06:59,440 Speaker 2: that's imitation, right where you're imitating what it is that 103 00:06:59,480 --> 00:07:04,479 Speaker 2: you're studying, Emulation where you do something that's kind of 104 00:07:04,760 --> 00:07:11,360 Speaker 2: similar to, and then innovation, which is where you bring 105 00:07:11,400 --> 00:07:15,880 Speaker 2: your unique voice into something. So for me, having that 106 00:07:16,000 --> 00:07:23,000 Speaker 2: example of intense study and practice and having practice be 107 00:07:23,200 --> 00:07:26,120 Speaker 2: a part of my upbringing is something that has carried 108 00:07:26,160 --> 00:07:30,800 Speaker 2: through throughout my complete journey as an entrepreneur and also 109 00:07:30,880 --> 00:07:31,880 Speaker 2: as a creative. 110 00:07:33,120 --> 00:07:35,520 Speaker 4: Does it blow your mind a little bit thinking about 111 00:07:35,640 --> 00:07:38,720 Speaker 4: the deep dive aspect that you were just describing that 112 00:07:38,840 --> 00:07:41,040 Speaker 4: your mom would take and then you would sort of 113 00:07:42,360 --> 00:07:47,160 Speaker 4: take as well. Pre worldwide Web Internet. 114 00:07:48,400 --> 00:08:01,679 Speaker 2: Yes, yes, I had three library cards at one point. Yeah, yeah, yeah, 115 00:08:02,080 --> 00:08:07,800 Speaker 2: in different you know cities. And I'm just a lover 116 00:08:08,120 --> 00:08:13,760 Speaker 2: of knowledge. I'm a seeker of wisdom. And I guess 117 00:08:14,160 --> 00:08:19,239 Speaker 2: that's you know, that's the definition of a philosopher, right, 118 00:08:19,960 --> 00:08:26,480 Speaker 2: is a seeker of wisdom. And I believe that there 119 00:08:26,480 --> 00:08:30,200 Speaker 2: are people that have spent you know, decades or their 120 00:08:30,240 --> 00:08:35,920 Speaker 2: whole lifetimes thinking about a thing, studying a thing, and 121 00:08:36,000 --> 00:08:40,800 Speaker 2: so one of the the hacks is to read someone 122 00:08:40,880 --> 00:08:45,040 Speaker 2: that's thought about a thing for a long time, because 123 00:08:45,040 --> 00:08:50,200 Speaker 2: you get the benefit of their ideas that's based on 124 00:08:50,800 --> 00:08:54,160 Speaker 2: where they've studied, right, or what they've studied, or their 125 00:08:54,240 --> 00:08:59,200 Speaker 2: worldview or perspective on something. And so I like to 126 00:09:00,040 --> 00:09:03,880 Speaker 2: yeah other people's thoughts who have thought a lot about 127 00:09:03,880 --> 00:09:04,200 Speaker 2: a thing. 128 00:09:06,040 --> 00:09:09,920 Speaker 5: I have a dear friend, ted Rizzetti. 129 00:09:09,679 --> 00:09:15,080 Speaker 4: Is his name, and he's a brilliant researcher. He refers 130 00:09:15,120 --> 00:09:20,360 Speaker 4: to what you just describe as OPR other people's research. 131 00:09:21,800 --> 00:09:24,319 Speaker 3: Yet there we go. I love it. 132 00:09:25,000 --> 00:09:30,040 Speaker 2: I love it, and most people don't do that. Most 133 00:09:30,280 --> 00:09:34,640 Speaker 2: people don't do that. So I believe that if you 134 00:09:36,160 --> 00:09:41,720 Speaker 2: read a hundred books on a subject, right, you then 135 00:09:42,480 --> 00:09:47,680 Speaker 2: in terms of knowledge become more knowledgeable than maybe most 136 00:09:47,720 --> 00:09:51,839 Speaker 2: people in that particular area. But then when you start 137 00:09:51,880 --> 00:09:56,959 Speaker 2: applying the knowledge and start gaining experience in that thing. 138 00:09:57,080 --> 00:10:01,280 Speaker 2: So take for example, branding. So I wrote a book 139 00:10:01,320 --> 00:10:05,040 Speaker 2: called the Bell Ringer Branding Bible with my mother, and 140 00:10:05,080 --> 00:10:08,520 Speaker 2: I was based on a process of you know, five 141 00:10:08,600 --> 00:10:14,560 Speaker 2: years of us of her interviewing me about branding, about 142 00:10:14,640 --> 00:10:17,960 Speaker 2: artist development and the things that that I, you know, 143 00:10:18,600 --> 00:10:24,480 Speaker 2: have become an expert at. And in that process I realized, well, wait, wow, 144 00:10:24,640 --> 00:10:30,880 Speaker 2: I've actually read pretty much every branding book you know 145 00:10:31,280 --> 00:10:34,880 Speaker 2: that I could have found, you know, could find. And 146 00:10:34,880 --> 00:10:39,200 Speaker 2: and so when we were working on the book, she 147 00:10:39,360 --> 00:10:42,880 Speaker 2: had to level up in order to have you know, 148 00:10:42,920 --> 00:10:47,120 Speaker 2: a meaningful conversation with me about branding. And so she 149 00:10:47,600 --> 00:10:51,840 Speaker 2: again intentional home balanced deep dive researching and so forth. 150 00:10:52,720 --> 00:10:57,640 Speaker 2: I gave her about fifty books of mine, and then 151 00:10:57,679 --> 00:11:01,319 Speaker 2: she found other books of you know, from the libraries 152 00:11:01,400 --> 00:11:05,640 Speaker 2: and different things and searching on the internet and so 153 00:11:05,720 --> 00:11:08,360 Speaker 2: forth doing her own deep dives. 154 00:11:08,800 --> 00:11:11,760 Speaker 3: And it made our conversations so much richer. 155 00:11:12,559 --> 00:11:16,400 Speaker 2: Right, So, how can we condense all of this specialized 156 00:11:16,480 --> 00:11:20,920 Speaker 2: knowledge down into an e book? So really that e 157 00:11:21,040 --> 00:11:24,200 Speaker 2: book the branding the Bellering and Branding Bible is actually 158 00:11:24,240 --> 00:11:26,679 Speaker 2: a chapter out of a bigger thing that we were 159 00:11:26,679 --> 00:11:31,520 Speaker 2: working on. And she passed away in twenty eighteen, and 160 00:11:32,160 --> 00:11:35,840 Speaker 2: we were able to celebrate having a bestseller in three 161 00:11:35,840 --> 00:11:40,720 Speaker 2: categories on Amazon together, you know, before she passed. But 162 00:11:41,640 --> 00:11:48,240 Speaker 2: that process really, you know, in collaboration with someone, when 163 00:11:48,280 --> 00:11:56,360 Speaker 2: you study together with someone, it just increases the capacities, right, 164 00:11:56,440 --> 00:11:59,640 Speaker 2: So you have you put two people together studying a thing, 165 00:11:59,720 --> 00:12:02,480 Speaker 2: than a third thing he emerges. And in our case, 166 00:12:02,760 --> 00:12:04,000 Speaker 2: it was that book. 167 00:12:04,960 --> 00:12:10,280 Speaker 4: Any particular favorite book that you studied that really you know, 168 00:12:10,360 --> 00:12:14,200 Speaker 4: to you is the quintessential branding book that helped God 169 00:12:14,400 --> 00:12:16,160 Speaker 4: writing your branding Bible. 170 00:12:17,480 --> 00:12:18,560 Speaker 3: Oh my goodness. 171 00:12:18,960 --> 00:12:20,280 Speaker 5: I mean, I know there's a lot of them. 172 00:12:20,320 --> 00:12:26,680 Speaker 2: I bet so, yeah, yeah, So it depends on what 173 00:12:27,000 --> 00:12:34,200 Speaker 2: someone's aim is. Because what I've done with the Bowing 174 00:12:34,320 --> 00:12:39,920 Speaker 2: or Branding Bible is really synthesize from a lot of 175 00:12:39,960 --> 00:12:45,360 Speaker 2: different perspectives and my experience and working with, you know, 176 00:12:45,440 --> 00:12:51,160 Speaker 2: celebrities around the world and being in conversations with stylists. 177 00:12:51,720 --> 00:12:55,080 Speaker 2: There was a one period of time we interviewed for 178 00:12:55,160 --> 00:13:03,000 Speaker 2: a project about fifteen top styles right clothing stylists for 179 00:13:03,120 --> 00:13:07,560 Speaker 2: a project and and inside of that there was so 180 00:13:07,640 --> 00:13:13,400 Speaker 2: much learning about branding rights as we're shaping the look 181 00:13:13,440 --> 00:13:17,600 Speaker 2: of a particular artist. Same thing about all the senses 182 00:13:17,640 --> 00:13:23,560 Speaker 2: and everything. So, you know, there's the the laws of branding. 183 00:13:23,679 --> 00:13:29,480 Speaker 2: There's there's a book that is anti branding that is 184 00:13:29,520 --> 00:13:34,440 Speaker 2: a good branding book. The name of the it's I 185 00:13:34,440 --> 00:13:39,280 Speaker 2: think it's called No Label maybe something like that. And 186 00:13:39,440 --> 00:13:43,920 Speaker 2: I met that author at a book fair and it 187 00:13:43,960 --> 00:13:46,320 Speaker 2: was in the middle of when we were writing a 188 00:13:46,320 --> 00:13:51,400 Speaker 2: branding book. It's like the anti branding book, but it's 189 00:13:51,480 --> 00:13:58,520 Speaker 2: very valuable to see a different perspective, and so that hurts. 190 00:13:58,559 --> 00:14:03,240 Speaker 2: So that woman's book, and the name doesn't come to 191 00:14:03,280 --> 00:14:06,120 Speaker 2: me because it's been many years now of the author, 192 00:14:06,640 --> 00:14:08,800 Speaker 2: but I engaged with her for a minute at that 193 00:14:08,840 --> 00:14:12,000 Speaker 2: book fair, and I read her book, and my mother 194 00:14:12,040 --> 00:14:17,480 Speaker 2: read her book, and we really, you know, like really considered, 195 00:14:18,360 --> 00:14:22,920 Speaker 2: you know, what branding does. And then then there's the 196 00:14:23,080 --> 00:14:25,200 Speaker 2: brain science aspect of it. 197 00:14:25,680 --> 00:14:25,840 Speaker 3: Now. 198 00:14:25,920 --> 00:14:28,560 Speaker 2: I don't get into that in the bell Ring of 199 00:14:28,600 --> 00:14:32,920 Speaker 2: Branding Bible because I wasn't into that at that time, right. 200 00:14:33,040 --> 00:14:36,800 Speaker 2: I didn't have friends that were neuroscientists and so forth 201 00:14:36,880 --> 00:14:41,280 Speaker 2: that that I engaged with. But the whole thing with 202 00:14:41,360 --> 00:14:46,040 Speaker 2: branding is about pattern recognition in the reticular activating system 203 00:14:46,120 --> 00:14:50,480 Speaker 2: and so so that's an important part of branding, is 204 00:14:51,760 --> 00:14:57,360 Speaker 2: the repetitive being in front of your ideal customer, right, 205 00:14:57,480 --> 00:15:01,920 Speaker 2: your ideal client, your ideal od ants member, your ideal. 206 00:15:01,560 --> 00:15:03,000 Speaker 3: Fan and so. 207 00:15:03,480 --> 00:15:07,920 Speaker 2: But that's that's a neuroscience thing that a lot of 208 00:15:07,960 --> 00:15:09,280 Speaker 2: branding books don't talk about. 209 00:15:09,440 --> 00:15:12,080 Speaker 5: Yep, I agree, I totally agree. 210 00:15:12,920 --> 00:15:16,600 Speaker 4: You know, you've worked with some major artists, you know, 211 00:15:16,840 --> 00:15:22,480 Speaker 4: Nicki Minaje and Katy Perry, Timberland Snoop. 212 00:15:24,160 --> 00:15:27,359 Speaker 5: Is there any one takeaway from. 213 00:15:27,320 --> 00:15:33,480 Speaker 4: Artists like that that profoundly sort of impacted you as 214 00:15:33,800 --> 00:15:40,840 Speaker 4: an artist, an entrepreneur, a teacher, you know, in your life. 215 00:15:39,880 --> 00:15:45,680 Speaker 2: Well as someone who has interacted with top of field 216 00:15:45,720 --> 00:15:49,400 Speaker 2: in a lot of different fields. One of the things 217 00:15:49,440 --> 00:15:55,280 Speaker 2: that I've seen is that there's kind of the myth 218 00:15:55,600 --> 00:15:58,840 Speaker 2: of celebrity and this is this is a natural human 219 00:15:59,680 --> 00:16:03,720 Speaker 2: being inclination. One of the things that I guess I 220 00:16:03,760 --> 00:16:09,040 Speaker 2: was fortunate to have since my mother had celebrity and I, 221 00:16:09,080 --> 00:16:12,680 Speaker 2: you know, had local celebrity in Norfolk, Virginia, because I 222 00:16:12,720 --> 00:16:16,240 Speaker 2: was in the newspaper a lot and in the media 223 00:16:16,280 --> 00:16:20,800 Speaker 2: and on stages and so forth. Is that that is 224 00:16:20,840 --> 00:16:25,520 Speaker 2: a profession, right, that is an aspect of the profession, 225 00:16:26,480 --> 00:16:30,280 Speaker 2: and there are practices, right, So there are practices for 226 00:16:30,520 --> 00:16:37,480 Speaker 2: fame creation, there are practices for wealth creation, there are 227 00:16:37,520 --> 00:16:44,400 Speaker 2: practices for skill development, and their practices for being able 228 00:16:44,480 --> 00:16:50,040 Speaker 2: to communicate powerfully with your audience on stage, stage presence, 229 00:16:50,760 --> 00:16:54,280 Speaker 2: so forth, being able to write songs, being able to 230 00:16:54,520 --> 00:16:57,320 Speaker 2: create relationships with people so that you can get people 231 00:16:57,320 --> 00:17:00,680 Speaker 2: that can write good songs or produce right. So there 232 00:17:00,680 --> 00:17:04,959 Speaker 2: are all these different skills that have to come together 233 00:17:06,119 --> 00:17:11,359 Speaker 2: in order for us to have a recording artist that 234 00:17:11,440 --> 00:17:15,119 Speaker 2: everybody knows or has heard of, right, And it takes 235 00:17:15,640 --> 00:17:20,080 Speaker 2: teams of people with specialized knowledge in order for that 236 00:17:20,200 --> 00:17:23,879 Speaker 2: to happen. And so one of the biggest things that 237 00:17:23,920 --> 00:17:28,119 Speaker 2: I've learned in my you know life in the music 238 00:17:28,160 --> 00:17:32,040 Speaker 2: industry is that a lot of times the general public 239 00:17:32,560 --> 00:17:36,159 Speaker 2: for sure doesn't know the thousands of people who have 240 00:17:36,320 --> 00:17:42,960 Speaker 2: had hands involved in that successful song that they get 241 00:17:43,000 --> 00:17:49,240 Speaker 2: to enjoy. So even with my ai Avatar Raven Light, 242 00:17:50,119 --> 00:17:54,439 Speaker 2: yes she's an ai you know pop artist, right, but 243 00:17:54,600 --> 00:17:58,520 Speaker 2: the same principles with you know, whether it's a Lady 244 00:17:58,560 --> 00:18:03,920 Speaker 2: Gaga or Katy Perry or Taylor Swift. Right, the same principles, 245 00:18:04,359 --> 00:18:09,800 Speaker 2: the same practices apply. So there's still the need to 246 00:18:10,440 --> 00:18:15,480 Speaker 2: get a great song or great songs so that you 247 00:18:15,480 --> 00:18:17,960 Speaker 2: can follow up your great song with another great song, 248 00:18:18,200 --> 00:18:21,600 Speaker 2: with an even better song, and so forth. There's still 249 00:18:22,160 --> 00:18:25,120 Speaker 2: needs to be some vehicle to get it in front 250 00:18:25,160 --> 00:18:28,720 Speaker 2: of people, whether that's through ads or marketing or social media. 251 00:18:28,880 --> 00:18:34,080 Speaker 2: There still has to be some branding plan, right, so 252 00:18:34,359 --> 00:18:37,880 Speaker 2: you know what is the genre, what is the look 253 00:18:37,960 --> 00:18:39,200 Speaker 2: and feel of this? 254 00:18:39,440 --> 00:18:39,680 Speaker 5: Right? 255 00:18:39,760 --> 00:18:41,680 Speaker 3: These these are like. 256 00:18:41,760 --> 00:18:46,639 Speaker 2: All the kind of building blocks, if you will, to creating, 257 00:18:46,800 --> 00:18:50,320 Speaker 2: whether it's a human artist or whether it's a business, 258 00:18:50,880 --> 00:18:53,600 Speaker 2: or whether it is an AI music avatar. 259 00:18:54,560 --> 00:18:57,720 Speaker 4: So let's go back to twenty twenty three when I 260 00:18:57,760 --> 00:19:02,040 Speaker 4: think that project would rate and life was born. You 261 00:19:02,160 --> 00:19:08,640 Speaker 4: lost your voice in an intense recording session, which as 262 00:19:08,680 --> 00:19:15,640 Speaker 4: somebody who was you know, an artist, performer, and as 263 00:19:15,680 --> 00:19:19,480 Speaker 4: an ex radio person and a podcaster, I can't imagine that. 264 00:19:19,600 --> 00:19:23,000 Speaker 4: In fact, it's been a dream a nightmare at times 265 00:19:23,040 --> 00:19:26,919 Speaker 4: that I've had where I'm opening the microphone and nothing 266 00:19:27,000 --> 00:19:30,480 Speaker 4: comes out of my mouth. So I have my own 267 00:19:30,560 --> 00:19:33,639 Speaker 4: neurosis here, but I can't so I can't. 268 00:19:33,440 --> 00:19:34,960 Speaker 5: Imagine what that was like. 269 00:19:35,119 --> 00:19:41,439 Speaker 4: But born out of that came you creating something magical 270 00:19:41,680 --> 00:19:46,359 Speaker 4: and sort of solving a problem based on this crisis 271 00:19:46,480 --> 00:19:50,720 Speaker 4: or opportunity. Can you talk about that whole experience and 272 00:19:52,119 --> 00:19:54,440 Speaker 4: reflect on it right now? 273 00:19:55,040 --> 00:19:56,760 Speaker 3: Sure, my goodness. 274 00:19:56,880 --> 00:20:05,000 Speaker 2: When I think about health and losing voice and losing 275 00:20:05,080 --> 00:20:09,280 Speaker 2: the ability to communicate, whether it's through speaking or singing, 276 00:20:10,000 --> 00:20:13,880 Speaker 2: the amount of care to take care of that so 277 00:20:13,920 --> 00:20:16,879 Speaker 2: that you know you, let's say, so that you can speak, 278 00:20:16,880 --> 00:20:19,119 Speaker 2: so that we can speak to each other and communicate. 279 00:20:20,200 --> 00:20:24,280 Speaker 2: It is something that I know I've taken for granted. 280 00:20:24,359 --> 00:20:25,399 Speaker 3: Until it's God. 281 00:20:26,960 --> 00:20:30,720 Speaker 2: And I was recording one hundred songs in one hundred days. 282 00:20:31,440 --> 00:20:35,400 Speaker 2: I was doing one hundred song challenge when this occurred. 283 00:20:36,080 --> 00:20:40,480 Speaker 2: So I was doing an unusual amount of work with 284 00:20:40,520 --> 00:20:43,320 Speaker 2: my voice in terms of singing, and at the same time, 285 00:20:43,720 --> 00:20:49,760 Speaker 2: I was still giving presentations and delivering speeches and so forth. 286 00:20:50,840 --> 00:20:55,200 Speaker 2: And I think my daughter came home sick and gave me. 287 00:20:56,760 --> 00:20:58,480 Speaker 3: I got what she had. 288 00:21:00,000 --> 00:21:04,040 Speaker 2: In the middle in the middle of all of that, right, 289 00:21:04,800 --> 00:21:08,600 Speaker 2: And so when I lost my voice, I said, Okay, Now, 290 00:21:08,600 --> 00:21:11,640 Speaker 2: I've been using AI technology for about fifteen years now, 291 00:21:12,200 --> 00:21:18,200 Speaker 2: and I realized that something was happening in the marketplace 292 00:21:18,280 --> 00:21:22,920 Speaker 2: in regards to AI with audio, and I said, there 293 00:21:23,000 --> 00:21:25,480 Speaker 2: must be a way, there has to be a way 294 00:21:26,000 --> 00:21:30,040 Speaker 2: for me to clone my voice and keep going. And 295 00:21:30,119 --> 00:21:33,280 Speaker 2: at that time, I was looking for a way to 296 00:21:33,560 --> 00:21:37,879 Speaker 2: take my singing vocals and clone my singing voice and 297 00:21:38,359 --> 00:21:42,520 Speaker 2: then somehow program my singing voice to be able to 298 00:21:43,160 --> 00:21:47,879 Speaker 2: finish doing songs. And that took me in an intentional 299 00:21:47,960 --> 00:21:54,040 Speaker 2: imbalance and deep dive study into what are the audio 300 00:21:54,160 --> 00:21:59,520 Speaker 2: AI tools so that I can keep going? And I 301 00:21:59,560 --> 00:22:03,760 Speaker 2: took some affirmations that I had created years ago and 302 00:22:04,359 --> 00:22:08,600 Speaker 2: basically train a voice model, a Marcus bell, a bell ringer, 303 00:22:09,200 --> 00:22:13,359 Speaker 2: a voice model, and then through the use of eleven 304 00:22:13,400 --> 00:22:18,120 Speaker 2: laps was the program that I ended up using after 305 00:22:18,240 --> 00:22:19,120 Speaker 2: trying a whole bunch. 306 00:22:18,920 --> 00:22:19,560 Speaker 3: Of different ones. 307 00:22:20,119 --> 00:22:26,840 Speaker 2: And I created some affirmations just by writing them into 308 00:22:27,720 --> 00:22:31,240 Speaker 2: eleven labs and using my voice model. So I took 309 00:22:32,040 --> 00:22:34,760 Speaker 2: that and then I started creating music around that. So 310 00:22:34,920 --> 00:22:38,040 Speaker 2: inside of those one hundred songs there there is an 311 00:22:38,080 --> 00:22:43,840 Speaker 2: affirmations album, you know, of meditations and so forth, and 312 00:22:43,880 --> 00:22:49,719 Speaker 2: that let me down another path. So, okay, well, if 313 00:22:49,760 --> 00:22:53,440 Speaker 2: I can clone my voice, and then later was able 314 00:22:53,520 --> 00:22:56,840 Speaker 2: to do my singing voice, and then I was able 315 00:22:56,880 --> 00:23:05,760 Speaker 2: to use some other people's voice models or voice actors models. 316 00:23:06,160 --> 00:23:08,720 Speaker 3: So now I can sing like a woman. 317 00:23:09,880 --> 00:23:13,160 Speaker 2: Now I can sing in Spanish, Now I can sing 318 00:23:13,200 --> 00:23:14,840 Speaker 2: in twenty nine different languages. 319 00:23:15,640 --> 00:23:16,639 Speaker 3: And that just. 320 00:23:16,800 --> 00:23:21,280 Speaker 2: Opened up a whole world of possibilities in terms of 321 00:23:21,320 --> 00:23:25,280 Speaker 2: being able to communicate and express. I had already been 322 00:23:26,119 --> 00:23:33,240 Speaker 2: doing NFTs with programs like mid Journey and creating visuals, 323 00:23:34,240 --> 00:23:37,520 Speaker 2: because as soon as that particular program came out, which 324 00:23:37,560 --> 00:23:43,280 Speaker 2: is the image Generator AI image Generator, the day that 325 00:23:43,359 --> 00:23:45,520 Speaker 2: came out, I was on that thing. 326 00:23:45,840 --> 00:23:50,120 Speaker 3: So I've done so many, maybe. 327 00:23:50,720 --> 00:23:54,840 Speaker 2: One hundred thousand images. So I started looking at that, 328 00:23:55,080 --> 00:23:56,320 Speaker 2: and then I started looking. 329 00:23:56,080 --> 00:23:59,000 Speaker 3: At well, wait a minute. There are ways to animate. 330 00:23:59,560 --> 00:24:06,840 Speaker 2: There are ways to storytell, There are ways to create music, 331 00:24:07,640 --> 00:24:12,359 Speaker 2: many different ways to create music with generative AI, but 332 00:24:12,520 --> 00:24:15,760 Speaker 2: also the human AI. 333 00:24:15,560 --> 00:24:18,520 Speaker 3: Connection can create amazing things. 334 00:24:19,200 --> 00:24:21,919 Speaker 2: So I woke up one day and I said, well, 335 00:24:21,920 --> 00:24:27,520 Speaker 2: wait a minute, I believe that an AI music artists 336 00:24:27,520 --> 00:24:33,600 Speaker 2: could be created. The technology has now empowered the ability 337 00:24:34,359 --> 00:24:37,720 Speaker 2: for the things that I care about, like compassion and 338 00:24:37,840 --> 00:24:42,600 Speaker 2: empathy and mental health and well being and people thriving. 339 00:24:42,720 --> 00:24:46,320 Speaker 3: And so there are other. 340 00:24:46,640 --> 00:24:51,679 Speaker 2: Vehicles for that to get expressed. There are other vehicles 341 00:24:51,720 --> 00:24:57,119 Speaker 2: for me to be able to communicate musically that is 342 00:24:57,160 --> 00:25:00,880 Speaker 2: not just in this container, But I can create other 343 00:25:00,920 --> 00:25:07,520 Speaker 2: containers in which that expression and those ideas and things 344 00:25:07,520 --> 00:25:13,439 Speaker 2: can be communicated to audiences. So that's where the birth 345 00:25:13,480 --> 00:25:18,159 Speaker 2: of raven Light came out of that thinking. Then the 346 00:25:18,240 --> 00:25:22,520 Speaker 2: thought arrived to me that you know, we're only using 347 00:25:22,640 --> 00:25:28,919 Speaker 2: music and sound at such a small percentage of the 348 00:25:29,000 --> 00:25:30,280 Speaker 2: possibilities with it. 349 00:25:30,760 --> 00:25:31,879 Speaker 3: And because I've. 350 00:25:31,760 --> 00:25:36,080 Speaker 2: Been kind of studying neuroscience and what sound does to 351 00:25:36,160 --> 00:25:39,480 Speaker 2: the brain and the body and so forth, I recognize 352 00:25:39,520 --> 00:25:41,760 Speaker 2: that there was an opportunity for us to do something 353 00:25:42,320 --> 00:25:47,639 Speaker 2: with raven Light and her artistry and her character, that 354 00:25:48,480 --> 00:25:53,800 Speaker 2: is to create an aspirational character that actually when people 355 00:25:53,960 --> 00:25:56,440 Speaker 2: listen to the music over and over and over again, 356 00:25:56,480 --> 00:26:00,720 Speaker 2: they actually feel better because what's in the music is 357 00:26:00,800 --> 00:26:01,600 Speaker 2: like good food. 358 00:26:02,320 --> 00:26:04,480 Speaker 1: We'll be right back with more of the Taking a 359 00:26:04,520 --> 00:26:12,760 Speaker 1: Walk Podcast. Welcome back to the Taking a Walk Podcast. 360 00:26:13,560 --> 00:26:17,359 Speaker 4: I think it's so fascinating at a time when you know, 361 00:26:17,480 --> 00:26:19,320 Speaker 4: AI for many. 362 00:26:19,040 --> 00:26:22,639 Speaker 5: People is a. 363 00:26:21,640 --> 00:26:27,200 Speaker 4: Curse word, and it's a fear, and the ramifications are 364 00:26:27,280 --> 00:26:30,440 Speaker 4: unclear for many people as well. 365 00:26:30,560 --> 00:26:35,000 Speaker 5: Many aspects of its use case, but you. 366 00:26:35,080 --> 00:26:40,040 Speaker 4: Have brought AI forward in a way where you're transparent 367 00:26:40,119 --> 00:26:45,320 Speaker 4: about it, you're embracing it, and you're constantly thinking and 368 00:26:45,400 --> 00:26:50,200 Speaker 4: tinkering in a good way, like a mad scientist trying 369 00:26:50,200 --> 00:26:54,160 Speaker 4: to you know, take it to that next level. How 370 00:26:54,200 --> 00:26:58,920 Speaker 4: have people received this work and your great attitude about it? 371 00:26:59,760 --> 00:27:00,200 Speaker 3: Yeah? Yeah. 372 00:27:00,240 --> 00:27:04,440 Speaker 2: I was speaking on a panel at the Recording Academy, 373 00:27:05,080 --> 00:27:09,400 Speaker 2: a new technology you know panel, and we talked about AI, 374 00:27:10,160 --> 00:27:12,679 Speaker 2: and I recognized that there was a lot of fear 375 00:27:13,560 --> 00:27:18,440 Speaker 2: in the room. And so my aim as an evangelist 376 00:27:18,480 --> 00:27:21,920 Speaker 2: of the possibilities is to have people go from fear 377 00:27:21,960 --> 00:27:28,240 Speaker 2: to curiosity. And because when you're curious about something, then 378 00:27:28,280 --> 00:27:31,720 Speaker 2: you approach it completely differently than if you are in 379 00:27:31,800 --> 00:27:32,560 Speaker 2: fear or something. 380 00:27:33,280 --> 00:27:34,679 Speaker 3: It's funny you. 381 00:27:35,080 --> 00:27:40,480 Speaker 2: Said AI is a curse word, because I'm very intentional 382 00:27:40,520 --> 00:27:47,760 Speaker 2: about my language, so I'm known to not curse. But wow, 383 00:27:48,680 --> 00:27:52,679 Speaker 2: if AI is a curse word, WHOA I swear like 384 00:27:52,760 --> 00:28:01,359 Speaker 2: a sailor. I think it curse, I eat, sleep, drink 385 00:28:01,440 --> 00:28:02,520 Speaker 2: curse words. 386 00:28:04,560 --> 00:28:08,000 Speaker 3: Okay, So what I recognize. 387 00:28:09,160 --> 00:28:15,080 Speaker 2: Was was that AI it's like an extension of our consciousness. 388 00:28:15,840 --> 00:28:21,800 Speaker 2: It's an extension of our abilities, skills, as an amplifier 389 00:28:22,119 --> 00:28:28,399 Speaker 2: of our capabilities. It took me a lifetime to create 390 00:28:28,600 --> 00:28:34,360 Speaker 2: five thousand songs right me doing it, they know piano producing. 391 00:28:34,880 --> 00:28:40,160 Speaker 2: I've done five thousand songs in my career different genres, 392 00:28:40,800 --> 00:28:43,760 Speaker 2: you know, from pop to rock, to bunger music in 393 00:28:43,760 --> 00:28:49,080 Speaker 2: India to uh, you know, mixing chronatic music too, like 394 00:28:49,200 --> 00:28:52,640 Speaker 2: all of these different things, to recording, doing recordings with 395 00:28:52,680 --> 00:28:56,880 Speaker 2: Buddhist monks, to uh, you know, writing big band arrangements 396 00:28:56,880 --> 00:29:01,080 Speaker 2: and doing songs with big band and start writing string 397 00:29:01,160 --> 00:29:05,000 Speaker 2: arrangements and having an orchestra do my music. So I've 398 00:29:05,080 --> 00:29:12,920 Speaker 2: experienced a spectrum of creativity five thousand songs, Okay, bravos. 399 00:29:13,680 --> 00:29:22,920 Speaker 2: In the past six months, I've generated sixteen thousand songs, 400 00:29:23,280 --> 00:29:29,480 Speaker 2: sixteen thousand songs in multiple genres those songs. 401 00:29:29,520 --> 00:29:31,400 Speaker 3: Because I'm also an AI. 402 00:29:31,360 --> 00:29:36,640 Speaker 2: Prompt engineer and developed the capacities to create automations and 403 00:29:36,680 --> 00:29:42,520 Speaker 2: things like that and have developed technology. I'm a futurist, 404 00:29:42,800 --> 00:29:47,560 Speaker 2: and so as a futurist, I could see this enhances 405 00:29:47,600 --> 00:29:51,640 Speaker 2: my capacity to meet the needs of people that are 406 00:29:51,960 --> 00:29:55,480 Speaker 2: looking for songs, that are looking for music beds for 407 00:29:56,080 --> 00:30:00,480 Speaker 2: their movies and their TV shows and things like like that. 408 00:30:01,120 --> 00:30:04,160 Speaker 2: So it's been one of the most exciting times of 409 00:30:04,200 --> 00:30:07,840 Speaker 2: my life actually, because I've been able to take my 410 00:30:07,880 --> 00:30:14,920 Speaker 2: specialized knowledge and my experiences and my understanding of music, 411 00:30:15,080 --> 00:30:20,040 Speaker 2: or my very little understanding of music, and taking that 412 00:30:20,200 --> 00:30:25,640 Speaker 2: very little understanding of music and applying it with tools 413 00:30:26,160 --> 00:30:27,960 Speaker 2: to create things that. 414 00:30:29,640 --> 00:30:34,120 Speaker 3: Would have required hundreds of people, you. 415 00:30:34,080 --> 00:30:37,720 Speaker 2: Know, a lot of travel, a lot of expense to 416 00:30:38,400 --> 00:30:43,600 Speaker 2: happen just you know, very easily. So for those of 417 00:30:43,640 --> 00:30:48,680 Speaker 2: you who are listening who have AI as something to fear, 418 00:30:49,880 --> 00:30:53,080 Speaker 2: when you start playing with it, when you start seeing 419 00:30:53,720 --> 00:30:59,600 Speaker 2: the ability for you to do many things more quickly. 420 00:31:00,440 --> 00:31:04,800 Speaker 2: I've learned more, probably in the past two years than 421 00:31:05,920 --> 00:31:11,120 Speaker 2: any period of time in my life, because I've created 422 00:31:11,360 --> 00:31:15,320 Speaker 2: things in AI that I've learned from I give you an example. 423 00:31:15,720 --> 00:31:17,440 Speaker 2: So I told you it took me five years to 424 00:31:17,800 --> 00:31:22,680 Speaker 2: write the book with my mom. Right, Well, last year 425 00:31:22,800 --> 00:31:27,400 Speaker 2: I wrote a hundred books with AI, one hundred in 426 00:31:27,440 --> 00:31:30,680 Speaker 2: one year. Now, most of those books will not be 427 00:31:30,800 --> 00:31:35,080 Speaker 2: released publicly. Yeah, I guess I'm like the prince. I 428 00:31:35,120 --> 00:31:35,960 Speaker 2: got the voulte. 429 00:31:37,200 --> 00:31:38,520 Speaker 3: Of the vault of books. 430 00:31:39,680 --> 00:31:44,240 Speaker 6: I have a vote of music too, right, But with 431 00:31:44,360 --> 00:31:49,120 Speaker 6: the vote of books, some of those books I generated 432 00:31:49,600 --> 00:31:51,280 Speaker 6: so that I could learn something. 433 00:31:51,800 --> 00:31:54,720 Speaker 2: So I generated the book on how to use Python 434 00:31:55,880 --> 00:31:59,280 Speaker 2: right to Code. So one of those books I wrote 435 00:31:59,320 --> 00:32:03,360 Speaker 2: on screen because I wanted to develop more capacities as 436 00:32:03,360 --> 00:32:09,640 Speaker 2: a screenwriter. So I generated an expert book, probably the 437 00:32:09,680 --> 00:32:13,520 Speaker 2: best book on screenwriting that I've read, because I've read 438 00:32:13,520 --> 00:32:16,360 Speaker 2: some books on books on screenwriting. But this is the 439 00:32:16,480 --> 00:32:18,880 Speaker 2: step by step by step with the formulas and right, 440 00:32:19,000 --> 00:32:23,840 Speaker 2: this is like a culmination of the best of the best. 441 00:32:24,800 --> 00:32:31,200 Speaker 2: That is what is possible accelerated learning and engagement. And 442 00:32:31,240 --> 00:32:35,720 Speaker 2: then one last thing that I would share about these possibilities. 443 00:32:36,640 --> 00:32:38,720 Speaker 3: So I remember my daughter. 444 00:32:39,800 --> 00:32:43,320 Speaker 2: We were driving on the way to elementary school, her 445 00:32:43,360 --> 00:32:46,560 Speaker 2: elementary school, and she had mentioned to me that she 446 00:32:46,720 --> 00:32:51,840 Speaker 2: had a new friend there that spoke Japanese. And she's like, data, 447 00:32:52,640 --> 00:32:56,600 Speaker 2: can we bring up the AI because I want to 448 00:32:56,760 --> 00:32:59,280 Speaker 2: learn how to say hello, and you know, can we 449 00:32:59,360 --> 00:33:02,680 Speaker 2: be friends? And so on the way to elementary school, 450 00:33:03,280 --> 00:33:08,160 Speaker 2: we're talking back and forth with chat GBT. She's learning 451 00:33:08,920 --> 00:33:13,240 Speaker 2: how to speak Japanese. So the next day I asked 452 00:33:13,240 --> 00:33:16,080 Speaker 2: her how did it go, and she said she was 453 00:33:16,800 --> 00:33:21,040 Speaker 2: she couldn't believe I understood how to say hello and 454 00:33:21,160 --> 00:33:26,440 Speaker 2: all these different things and my goodness, what a possibility, 455 00:33:27,280 --> 00:33:29,960 Speaker 2: and that possibility is out of curiosity. 456 00:33:31,080 --> 00:33:33,400 Speaker 4: I'm going to unpack a couple of things here. First 457 00:33:33,440 --> 00:33:38,280 Speaker 4: of all, what you talked about in terms of the 458 00:33:38,320 --> 00:33:42,760 Speaker 4: amount of songs and music that you've been able to 459 00:33:42,800 --> 00:33:48,520 Speaker 4: create that is set up basically this other vertical business 460 00:33:48,560 --> 00:33:51,240 Speaker 4: inside the. 461 00:33:50,280 --> 00:33:52,920 Speaker 5: Bell Ringer productions. 462 00:33:53,880 --> 00:33:59,120 Speaker 4: Is really a fascinating storyline because you know, the sync 463 00:33:59,240 --> 00:34:03,360 Speaker 4: business mu it Sincs and what's necessary for movies and 464 00:34:03,800 --> 00:34:07,720 Speaker 4: TV shows is big business. So, first of all, I 465 00:34:07,760 --> 00:34:12,359 Speaker 4: think that's something I want to highlight and compliment you 466 00:34:12,400 --> 00:34:16,480 Speaker 4: on because that's a major business breakthrough through the use 467 00:34:16,520 --> 00:34:20,279 Speaker 4: of AI. And Then the other thing that I think 468 00:34:20,280 --> 00:34:27,160 Speaker 4: you're illustrating about AI, which I've always felt personally in 469 00:34:27,280 --> 00:34:34,280 Speaker 4: thinking about it, is AI needs a human touch associated 470 00:34:34,400 --> 00:34:37,879 Speaker 4: with it to steer it the right way. 471 00:34:38,000 --> 00:34:39,439 Speaker 5: Can you talk about that? 472 00:34:40,560 --> 00:34:40,880 Speaker 3: Sure? 473 00:34:41,680 --> 00:34:48,400 Speaker 2: The human touch and personalization is essential, just like any 474 00:34:48,480 --> 00:34:49,480 Speaker 2: other tool. 475 00:34:49,880 --> 00:34:53,640 Speaker 3: It is values neutral, is not good, is not bad? 476 00:34:54,760 --> 00:34:55,720 Speaker 3: Is what we. 477 00:34:56,320 --> 00:34:59,120 Speaker 2: Say it is and how we use it, just like 478 00:34:59,200 --> 00:35:04,920 Speaker 2: we can a fork and use it to eat, you know, 479 00:35:05,239 --> 00:35:08,919 Speaker 2: a great meal. A fork can be used to prop 480 00:35:09,000 --> 00:35:13,440 Speaker 2: up a door, a fork can be used to. 481 00:35:12,800 --> 00:35:13,439 Speaker 3: Be a lever. 482 00:35:14,080 --> 00:35:17,360 Speaker 2: It could be used to get in between something to 483 00:35:17,400 --> 00:35:18,839 Speaker 2: try and get something out right. 484 00:35:19,120 --> 00:35:22,799 Speaker 3: There are many different ways a fork can be used. 485 00:35:22,880 --> 00:35:28,280 Speaker 2: And the same thing is the case with the AI tools. 486 00:35:29,440 --> 00:35:31,200 Speaker 3: It's all about what our. 487 00:35:31,120 --> 00:35:36,160 Speaker 2: Consciousness is around how we use tools, what our aims 488 00:35:36,280 --> 00:35:41,839 Speaker 2: are in the use of it. AI is not anything new, right. 489 00:35:41,920 --> 00:35:46,880 Speaker 2: It first was kind of coined back in the nineteen fifties. 490 00:35:48,040 --> 00:35:52,920 Speaker 3: That's a long time right there. 491 00:35:53,800 --> 00:35:59,320 Speaker 2: We interact with AI before this AI revolution all the time. 492 00:35:59,680 --> 00:36:06,000 Speaker 2: If you use GPS, that's AI, right. If you go 493 00:36:06,040 --> 00:36:09,760 Speaker 2: to Netflix and you get recommendations or Amazon and anything 494 00:36:09,840 --> 00:36:14,800 Speaker 2: in the online world from Google and ads and all 495 00:36:14,920 --> 00:36:17,800 Speaker 2: these things our uses of AI. 496 00:36:18,960 --> 00:36:21,640 Speaker 3: But for the first time now it's. 497 00:36:21,480 --> 00:36:27,600 Speaker 2: Accessible for anyone to be able to use and leverage 498 00:36:28,280 --> 00:36:32,239 Speaker 2: dependent upon what their aims are. So I have a 499 00:36:32,280 --> 00:36:36,600 Speaker 2: couple of programs that I help support entrepreneurs in being 500 00:36:36,600 --> 00:36:41,440 Speaker 2: able to use AI for you know, creating business, for 501 00:36:41,719 --> 00:36:47,719 Speaker 2: optimizing the things that they're doing in their businesses, monetizing, etc. 502 00:36:48,760 --> 00:36:53,239 Speaker 2: And the thing that I've seen is that these high 503 00:36:53,239 --> 00:37:00,160 Speaker 2: conscious individuals, I think the oldest one is seventy three. 504 00:37:00,520 --> 00:37:06,840 Speaker 2: She's created podcasts, she just had She's participated in a 505 00:37:06,880 --> 00:37:11,680 Speaker 2: book where she's a national bestseller, right she has at 506 00:37:11,719 --> 00:37:16,040 Speaker 2: seventy three. The things that she's been able to accomplish 507 00:37:16,200 --> 00:37:20,640 Speaker 2: with the help of AI have taken others decades to do. 508 00:37:22,239 --> 00:37:27,120 Speaker 2: And if she can do that, right, and my nine 509 00:37:27,200 --> 00:37:34,840 Speaker 2: year old can generate some cartoon images and I can create, 510 00:37:35,280 --> 00:37:39,080 Speaker 2: you know, some business verticals as well as create an 511 00:37:39,080 --> 00:37:45,320 Speaker 2: AI avatar that has reached over fifty million people, hundreds 512 00:37:45,360 --> 00:37:48,719 Speaker 2: of thousands of streams, et cetera. What is it that 513 00:37:48,800 --> 00:37:53,200 Speaker 2: you can do with it for your life, for your world, 514 00:37:53,640 --> 00:37:59,120 Speaker 2: for your optimization, for the betterment of those around you, 515 00:38:00,160 --> 00:38:04,840 Speaker 2: for humanity? Can you bring a high consciousness to the 516 00:38:04,880 --> 00:38:08,680 Speaker 2: activities and the practices and the use. 517 00:38:08,600 --> 00:38:09,640 Speaker 3: Of the tools. 518 00:38:10,239 --> 00:38:10,520 Speaker 5: Wow? 519 00:38:11,840 --> 00:38:16,560 Speaker 4: I want to close with a deep one, uh, which 520 00:38:16,600 --> 00:38:20,960 Speaker 4: is how can you give some advice to those who 521 00:38:21,280 --> 00:38:27,040 Speaker 4: are looking for that meaning and purpose that they don't 522 00:38:27,080 --> 00:38:28,960 Speaker 4: have in their life or their career. 523 00:38:29,480 --> 00:38:31,440 Speaker 5: What advice would you would you give them? 524 00:38:31,480 --> 00:38:36,799 Speaker 4: Because clearly, uh, you haven't a meaning and purpose and 525 00:38:37,719 --> 00:38:40,839 Speaker 4: joyfulness and the work that you're that you're doing and 526 00:38:40,880 --> 00:38:42,279 Speaker 4: that you're loving so much. 527 00:38:43,040 --> 00:38:43,360 Speaker 3: Yeah. 528 00:38:43,680 --> 00:38:48,520 Speaker 2: One philosopher, there are many philosophers actually that arrived that 529 00:38:49,280 --> 00:38:53,960 Speaker 2: life is empty and meaningless. If that is the case 530 00:38:54,480 --> 00:38:55,480 Speaker 2: that life. 531 00:38:55,239 --> 00:38:57,520 Speaker 3: Is empty and meaningless. 532 00:38:58,080 --> 00:39:01,839 Speaker 2: And I was over at JP the Jet Proportional Lab 533 00:39:01,920 --> 00:39:07,480 Speaker 2: and NASA a couple of days ago. We were looking at, 534 00:39:07,680 --> 00:39:10,440 Speaker 2: you know, the exploration of life on other planets and 535 00:39:12,600 --> 00:39:19,040 Speaker 2: the universe, the multiverses, right, and really that level of 536 00:39:20,080 --> 00:39:25,319 Speaker 2: looking at things. I spent about four years kind of 537 00:39:25,400 --> 00:39:29,000 Speaker 2: consulting in the space industry and so forth that I 538 00:39:29,040 --> 00:39:32,600 Speaker 2: saw people working on things that they would not see 539 00:39:32,719 --> 00:39:38,839 Speaker 2: happen in their lifetimes, right, Explorations that they work every 540 00:39:38,840 --> 00:39:42,120 Speaker 2: single day on that they'll never see come to fruition. 541 00:39:42,920 --> 00:39:45,040 Speaker 2: So from a universe perspective, if I look at my 542 00:39:45,120 --> 00:39:49,680 Speaker 2: life in the grand scheme of things, it's pretty meaningless. 543 00:39:50,239 --> 00:39:54,360 Speaker 2: But I love my life. And so we as human 544 00:39:54,400 --> 00:40:00,560 Speaker 2: beings have this capacity that other animals and organizables don't have, 545 00:40:00,920 --> 00:40:05,520 Speaker 2: which is we have the ability to bring meaning to something. 546 00:40:06,480 --> 00:40:10,280 Speaker 2: We can bring meaning to a rock, We can bring 547 00:40:10,400 --> 00:40:14,360 Speaker 2: meaning to a picture, and we can bring meaning to 548 00:40:14,520 --> 00:40:17,759 Speaker 2: oh who you see that the stars went by? We 549 00:40:17,840 --> 00:40:20,440 Speaker 2: can make a wish and have our wishes come true. 550 00:40:20,840 --> 00:40:21,000 Speaker 5: Right. 551 00:40:21,080 --> 00:40:24,280 Speaker 3: We can bring all kinds of meaning, So we can. 552 00:40:24,160 --> 00:40:29,880 Speaker 2: Also bring meaning into our lives. We can also bring 553 00:40:29,920 --> 00:40:35,080 Speaker 2: purpose into our lives. We can change the stories that 554 00:40:35,160 --> 00:40:38,279 Speaker 2: were given to us or that were handed down, and 555 00:40:38,320 --> 00:40:42,319 Speaker 2: we can create new stories for our lives and those 556 00:40:42,360 --> 00:40:46,160 Speaker 2: that we care about. We have that capacity and ability. 557 00:40:47,000 --> 00:40:53,440 Speaker 2: And so I think that any meaning will do, because 558 00:40:53,680 --> 00:40:58,440 Speaker 2: any meaning will give you access to a deeper meaning, 559 00:41:00,560 --> 00:41:01,600 Speaker 2: lead to the same place. 560 00:41:02,880 --> 00:41:04,040 Speaker 3: And I actually have. 561 00:41:04,040 --> 00:41:08,680 Speaker 2: A tool and this is for for anyone listening, and 562 00:41:08,719 --> 00:41:14,319 Speaker 2: that that tool, I created a GPT store, okay, where 563 00:41:14,360 --> 00:41:17,879 Speaker 2: I house a bunch of my specialized knowledge in different areas. 564 00:41:18,400 --> 00:41:23,200 Speaker 2: There is a GPT that I created called the purpose Finder, 565 00:41:24,239 --> 00:41:27,560 Speaker 2: and I made it available free for for for anyone, 566 00:41:28,239 --> 00:41:34,200 Speaker 2: and it's the It's on Wealth GPT store. 567 00:41:35,400 --> 00:41:36,200 Speaker 3: Dot com. 568 00:41:36,320 --> 00:41:41,920 Speaker 2: Wealthgptstore dot com, okay, and they can go in and 569 00:41:41,960 --> 00:41:45,040 Speaker 2: they can put in You can put in whatever. 570 00:41:44,800 --> 00:41:45,480 Speaker 3: It is that you like. 571 00:41:46,360 --> 00:41:50,440 Speaker 2: You know, I like football, and uh I like you know, music, 572 00:41:50,600 --> 00:41:54,359 Speaker 2: and I like so forth, and it will give you 573 00:41:54,680 --> 00:42:02,480 Speaker 2: a list of things that could be potential things for 574 00:42:02,520 --> 00:42:06,440 Speaker 2: you to do that will be meaningful based on what 575 00:42:06,520 --> 00:42:07,200 Speaker 2: it is that. 576 00:42:07,080 --> 00:42:07,840 Speaker 3: You care about. 577 00:42:08,920 --> 00:42:16,719 Speaker 4: Bravo, mister Bell, Bravo, thank you so much for being 578 00:42:16,760 --> 00:42:17,799 Speaker 4: on the podcast. 579 00:42:18,160 --> 00:42:21,120 Speaker 5: I could go on, I could go on and on. 580 00:42:21,600 --> 00:42:25,920 Speaker 5: You are amazing, You are so inspiring. You love what 581 00:42:26,000 --> 00:42:26,600 Speaker 5: you do. 582 00:42:26,640 --> 00:42:30,960 Speaker 4: And you love communicating it, and I'm just honored that 583 00:42:31,000 --> 00:42:34,600 Speaker 4: you would take the time, Marcus, to be on and 584 00:42:34,680 --> 00:42:38,280 Speaker 4: share your wisdom and your passions on Taking a Walk. 585 00:42:38,600 --> 00:42:42,680 Speaker 4: Congrats on everything and keep on keeping on. Mister bell Ringer. 586 00:42:43,520 --> 00:42:47,600 Speaker 2: Well, thank you so much for having me, and people 587 00:42:47,640 --> 00:42:50,279 Speaker 2: can find me at Marcus m A R. 588 00:42:50,360 --> 00:42:51,360 Speaker 3: C Us Bell. 589 00:42:51,320 --> 00:42:54,040 Speaker 2: Ringer b E L L R I N G E 590 00:42:54,200 --> 00:43:00,040 Speaker 2: R dot com and you can access me there. And 591 00:43:00,360 --> 00:43:05,520 Speaker 2: thank you for this wonderful walk in our conversation. It's 592 00:43:05,560 --> 00:43:08,360 Speaker 2: been a pleasure of being here with you and I 593 00:43:08,440 --> 00:43:09,040 Speaker 2: look forward. 594 00:43:08,880 --> 00:43:09,399 Speaker 3: To next time. 595 00:43:09,520 --> 00:43:10,960 Speaker 5: I hope we can do it again for sure. 596 00:43:12,680 --> 00:43:15,160 Speaker 1: Thanks for listening to this episode of the Taking a 597 00:43:15,200 --> 00:43:19,080 Speaker 1: Walk podcast. Share this and other episodes with your friends 598 00:43:19,200 --> 00:43:22,640 Speaker 1: and follow us so you never miss an episode. Taking 599 00:43:22,719 --> 00:43:26,600 Speaker 1: a Walk is available on the iHeartRadio app, Apple Podcasts, 600 00:43:26,800 --> 00:43:29,120 Speaker 1: and wherever you get your podcasts.