Latest / #TheTechHustle Podcast 🎙 / Backstage with BobbyD featuring Marlon Avery

Transcript

Backstage with BobbyD featuring Marlon Avery · #TheTechHustle Podcast 🎙

• 0:00
  Speaker 1: D Hustle man.
• 0:00
  Speaker 1: Yeah, yeah, we over here chilling player, I hear you another day in the studio, beautiful, but we got it.
• 0:06
  Speaker 2: It is rainy, though I don't?
• 0:08
  Speaker 1: it's rainy season here in South Florida?
• 0:09
  Speaker 1: Hurricane season?
• 0:11
  Speaker 1: Yeah, actually, isn't there one out there?
• 0:13
  Speaker 1: right, there's one coming out right now.
• 0:14
  Speaker 1: Yeah, it's gonna hit the west coast, beautiful.
• 0:15
  Speaker 1: Uh, that didn't affect you out there, did it?
• 0:17
  Speaker 1: No, no, no, it's definitely gonna head a little bit north.
• 0:19
  Speaker 1: But uh, I want to say welcome, welcome, welcome to backstage with Bobby D.
• 0:20
  Speaker 1: I got a special guest and I already gave him a little bit north.
• 0:22
  Speaker 1: But uh, I want to say welcome, welcome, welcome to backstage with bobby d.
• 0:25
  Speaker 1: I got a special guest and I already gave him a little bit of an intro.
• 0:28
  Speaker 1: I got my guy, marlon avery, what's?
• 0:34
  Speaker 1: going on, my man yeah, welcome to the studio we over here in palm beach my guy, you know, took his time to come all the way over here on the east coast coming from the west coast of florida, um, and definitely appreciate that you made it here safe and sound and wishing you, uh, best of luck getting back home a little bit later this evening.
• 0:49
  Speaker 1: But, uh, first of all I want to say thank you so much for pulling up and, you know, giving us this time to just chat up with you, because you know what I call him.
• 0:56
  Speaker 1: I call him mr ai.
• 0:58
  Speaker 1: He is the plug.
• 0:59
  Speaker 1: He's the one that knows what's going on in this industry, specifically around ai.
• 1:02
  Speaker 1: I want to know more yeah no, dd always got some good questions, but in general, I just definitely want our audience to get an opportunity to see someone that looks like me and you, that is excelling in this field, specifically around ai, and hear what kind of bars he got he don't look like you.
• 1:16
  Speaker 2: He got, he got, he got a.
• 1:17
  Speaker 2: You know, I know, you know I got spots.
• 1:19
  Speaker 2: Come on, you know, I've been struggling all my life.
• 1:23
  Speaker 2: He's way taller than you and everything.
• 1:24
  Speaker 1: Come on, man, come on, Let me get some grace bro.
• 1:26
  Speaker 3: You are, I'm giving you grace.
• 1:28
  Speaker 1: When I stand next to somebody.
• 1:29
  Speaker 1: Man, come on bro.
• 1:30
  Speaker 3: I'm a rich.
• 1:31
  Speaker 3: There's short people problems over here.
• 1:34
  Speaker 1: No worries, no worries.
• 1:35
  Speaker 1: But Marlon, man, give us a quick introduction.
• 1:37
  Speaker 3: Man, tell us where you're coming from now yeah man, uh, marlon avery man, self self-taught, uh software engineer, taught myself how to code quite some time ago, uh, originally from texas, um, and so all my family, you know, still in texas.
• 1:51
  Speaker 3: Um, uh, kind of did uh high school and stuff and everything up in georgia yeah yeah, um, and from there um played collegiate basketball and football football um down in south florida he got the height.
• 2:01
  Speaker 2: Though skip that shout out, right there he got the height, though Skip that shout-out.
• 2:04
  Speaker 1: Right there, he got the height, though Skip that shout-out.
• 2:06
  Speaker 2: He's lying back in material.
• 2:07
  Speaker 1: Ah I looked at you Defensive end.
• 2:09
  Speaker 3: There he goes, he's calling it.
• 2:11
  Speaker 3: Yeah, that was fun.
• 2:11
  Speaker 3: So, yeah, I played collegiate football and basketball while I was in college and then while I was there, man God gave me this idea.
• 2:26
  Speaker 3: Like I wanted a way where I can view my secret collection other people's collection on my phone um, and so I was like I was looking through the market.
• 2:31
  Speaker 3: I was like man, you know, I would love to, you know, download the app like this, and at the time there just wasn't anything like there, you know.
• 2:36
  Speaker 3: And so I was like you know what, you know, maybe I should do it, maybe I should build it and everything.
• 2:40
  Speaker 3: So at this time, the only thing I knew how to do with apps was download them.
• 2:42
  Speaker 3: I didn't know anything about how to do with apps.
• 2:45
  Speaker 3: And so, interesting time too, this is like 2011,.
• 2:48
  Speaker 3: So, if you believe it or not, it's like little to no information on the internet of like learning how to code, you know, learning how to build apps and things like that.
• 2:56
  Speaker 3: So, kind of figure out that journey mit had just released scratch, um, uh, you know the uh, scratch, yeah, the coding program, scratch and everything.
• 3:12
  Speaker 3: So they just released it and they took it down and then they re-released it like a year or two later, um and stuff and so.
• 3:18
  Speaker 3: So, from there I was like man, you know what?
• 3:20
  Speaker 3: Uh, maybe I should do it.
• 3:21
  Speaker 3: And I started to kind of teach myself u UX design and everything on YouTube and stuff where it may be, look to feel you know the color palette, you know just like everything.
• 3:30
  Speaker 3: So you know you don't know what you don't know, and so I designed the first iterations of the app in Microsoft Paint now.
• 3:40
  Speaker 2: Now, if y'all don't know what that is, y'all don't know what that is.
• 3:42
  Speaker 2: You know the way I like to describe.
• 3:43
  Speaker 1: Microsoft.
• 3:44
  Speaker 3: Paint.
• 3:44
  Speaker 3: It's like using cray.
• 3:44
  Speaker 3: Now, if y'all don't know what that is, shout out to that.
• 3:46
  Speaker 1: If y'all don't know what that is, you know the way I like to describe Microsoft Paint it's like using crayons nowadays, compared to what you got it's like using crayons.
• 3:52
  Speaker 2: Why don't you ask the community about what exactly that is real quick.
• 3:56
  Speaker 1: Yeah, so I'll let you know quick.
• 3:58
  Speaker 1: So Microsoft Paint is one of those applications that came along with most Windows installation.
• 4:05
  Speaker 1: It's almost like notepad is another one, right?
• 4:06
  Speaker 1: So it's like these default applications that you have and it allowed us to do some artwork, but not at that level where you can do like on photoshop and stuff like that.
• 4:13
  Speaker 1: This is like old school type, like when I say it's like using crayons, is like we're using crayons nowadays.
• 4:19
  Speaker 3: Yeah, yeah I just didn't know.
• 4:21
  Speaker 3: That's the only thing I knew with this stuff at the time.
• 4:22
  Speaker 3: So I started to kind of put it together.
• 4:24
  Speaker 3: I was copying and pasting and emailing images to myself to figure out how it would look on my phone and stuff, and so at the time I didn't even know what I was doing.
• 4:34
  Speaker 3: I would email and all these images.
• 4:37
  Speaker 3: I had this whole design, like 20 plus 30 images of the screen, what it would look like, and I was starting to figure out how to do transparent background.
• 4:47
  Speaker 3: So I was taking images of shoes off the internet and everything, removing the background, putting it like on the shelf and everything on the closet, how it would look on the screen.
• 4:55
  Speaker 3: And so I started kind of like going through that and I started like going to the mall and the first people I would see with shoes I would talk to them and ask them about the app.
• 5:04
  Speaker 3: I didn't know this was customer discovery or anything.
• 5:06
  Speaker 3: I was excited about something that I was doing.
• 5:08
  Speaker 3: Every single person was like man, this is extremely interesting, keep going.
• 5:15
  Speaker 3: I want to see more.
• 5:16
  Speaker 3: How can I download this?
• 5:17
  Speaker 3: Whatever it may be?
• 5:17
  Speaker 3: I ended up meeting an individual who worked at Google.
• 5:21
  Speaker 3: He saw the app and he was like, oh man, this is really interesting.
• 5:24
  Speaker 3: An individual who worked at Google and he saw the app and he's like oh man, this is really interesting.
• 5:26
  Speaker 3: Quick question what did you design this in?
• 5:27
  Speaker 3: I was like Microsoft Paint.
• 5:28
  Speaker 3: He was like don't do that no more.
• 5:31
  Speaker 3: Go learn Photoshop immediately.
• 5:33
  Speaker 3: So this is like before Sketch and other type of tools and stuff as well.
• 5:37
  Speaker 3: So I learned Photoshop and everything, and quickly.
• 5:40
  Speaker 3: I also learned that you know what.
• 5:41
  Speaker 3: I didn't know enough how an app company should be ran, and so I went to a, set a goal to work for an app company, which I did, which, at the time, was like the largest app company in the world, which is Uber.
• 5:50
  Speaker 3: And so I went to go work at Uber in the Atlanta office, started off on the operations support side, ended up working with the Uber Eats team when that platform was launched, and so while I was there, I designed and built some features within the uber platform too as well.
• 6:08
  Speaker 3: Uh, that's still been used in some segments of the world yeah and then, um, you know, I kind of kept going and stuff with it and so, uh, you know, in the midst of trying to figure this thing out, you know I started, you know, kind of like building other applications for another visual, so one of my kind of claim to fames here.
• 6:24
  Speaker 3: You know the instagram comedian, haha davis, who's always had these different sayings yeah, yeah and so me and my friends, we had like, just, we would always be repeating his sayings and it would be a text message, whatever it be.
• 6:36
  Speaker 3: And so one day again I was like man, you know, he should have his own ios text messaging platform, because my friends are always kind of going back and forth with it.
• 6:43
  Speaker 3: And I was like you know what, maybe I should do it.
• 6:45
  Speaker 3: There you go, you know again, having no clue what to do.
• 6:48
  Speaker 2: Yeah.
• 6:48
  Speaker 3: And so I DM'd him and his manager got back to me.
• 6:52
  Speaker 3: He was like.
• 6:53
  Speaker 3: He was like all right, we'll give you a shot, let's check it out.
• 6:55
  Speaker 3: I flew to Detroit, pitched it to him and so I was like all right, give me two months.
• 7:01
  Speaker 3: two months having no clue what he's selling Something like yo I don't even know I'm going to get these bricks and so, you know, went through all of the craziness of you know using Xcode and everything's like that and so uh.
• 7:17
  Speaker 3: So I was, like you know I found finally finished it, submitted it to the Apple store.
• 7:21
  Speaker 3: We released the app on Sunday.
• 7:23
  Speaker 3: Um, I woke up that Thursday, something told me to check the app store.
• 7:26
  Speaker 3: We released the app on Sunday.
• 7:26
  Speaker 3: I woke up that Thursday, somebody told me to check the app store.
• 7:27
  Speaker 3: I don't even know what I'm looking for.
• 7:30
  Speaker 3: I checked the app store.
• 7:31
  Speaker 3: I'm scrolling, scrolling, scrolling and then boom, it pops up no one app in the app store.
• 7:34
  Speaker 3: Just for time's sake, too, as well, black Panther had just released a couple months ago, black Panther was number one.
• 7:43
  Speaker 3: We bumped it to number two.
• 7:44
  Speaker 3: Give him a round of applause for that and remember he started he didn't even know what he was doing, he killed it, and so if you, if you're on my social I think it's still on my page, where it's like in the highlight areas- and everything where I was talking about it because I was I didn't understand what was happening that's what's um yeah, and so from from there I got the courage to really, really kind of, you know, go a deep dive and stuff and really teach myself how to code.
• 8:10
  Speaker 3: And so I moved into a friend's garage, minimize all my bills to the lowest possible place I can go.
• 8:15
  Speaker 3: I focus on coding for six to eight hours a day for an entire year.
• 8:18
  Speaker 3: That's what's up, that's commitment, right there.
• 8:21
  Speaker 1: Shout out to that Big shout out to it and I think it's just that, that taste that you got in terms of what you were capable of doing.
• 8:27
  Speaker 1: And then the second part is the commitment.
• 8:29
  Speaker 1: Right, it's like yo, I got to commit my time, got to commit my finances, I got to get my lifestyle to really level it up.
• 8:36
  Speaker 1: And then I can only imagine where you are right now, because taking that time to really develop that skills oh my gosh I know he's coming out out the gate as a beast so ready to go.
• 8:46
  Speaker 3: It's interesting you say that too, because taste and commitment.
• 8:48
  Speaker 3: Taste is number two, commitment is number three the first thing of that is, um, I would say influence and like seeing individuals like yourself.
• 8:59
  Speaker 3: Is it so?
• 9:00
  Speaker 3: The first person I got to see who looked like me, who was doing engineering, was an individual by the name of Aston Motes, and so I was on a virtual call and stuff.
• 9:09
  Speaker 3: And then I got to see him and it was like he was like the most intelligent human being.
• 9:13
  Speaker 3: I remember I'd seen my life, I'm like bro.
• 9:14
  Speaker 3: And so Aston Motes, you know, just for context, he was employee number one at Dropbox, that's what's up, you know, and stuff.
• 9:27
  Speaker 3: And so he's done really well, you know, well, shout out to him, big shout outs to him, and so, yeah, he's done really well and stuff in his career.
• 9:30
  Speaker 3: And so yo, fast forward.
• 9:32
  Speaker 3: I taught myself how to code, and then a company kind of saw what I was doing, a company by the name of Treehouse.
• 9:37
  Speaker 3: So you know, if you taught yourself how to code or learn how to code, at some point, you probably, you know, came across treehouse, and so treehouse reached out to me, the ceo on ryan and said, hey, man, we're starting this program, we'll be teaching uh, minorities how to code in eight to ten months and then we place them into jobs at the end of it.
• 9:52
  Speaker 3: Right now we're not doing so well.
• 9:54
  Speaker 3: Will you come help us run it?
• 9:55
  Speaker 3: yeah and so I was like sure, and so uh, went over there and the program is called talent path and as an apprenticeship program, and so when I I got there, the program was like 30% on track to finish and then when I got done, 80% finished.
• 10:07
  Speaker 3: Look at my guy making an impact and so from there, a larger company saw what we were doing by the name of Udacity.
• 10:14
  Speaker 3: At the time it was the second largest ed tech platform in the world.
• 10:20
  Speaker 3: I went over there, ran about 50% of the engineering courses while I was there.
• 10:22
  Speaker 3: And then from there that got the attention of a friend of mine by the name of Brian Bracke.
• 10:25
  Speaker 3: He was starting a venture capital firm Light Street.
• 10:32
  Speaker 3: Capital, which was the largest minority-owned venture capital firm in the world, based in the Midwest, ran by a black woman, and so I went over there as engineer director.
• 10:38
  Speaker 3: It was also, too, where my AI journey started.
• 10:42
  Speaker 3: They had a venture side, where they invest into startups.
• 10:46
  Speaker 3: Yeah, yeah, and you know, kind of helped them cross the line.
• 10:48
  Speaker 3: And I also had a nonprofit side, you know, to it as well.
• 10:51
  Speaker 3: Oh, that's awesome, a nonprofit side.
• 10:52
  Speaker 3: So leadership came to me at one point and said hey, marlon, we just got access to this tool called OpenAI, you know?
• 10:59
  Speaker 1: Early access.
• 11:00
  Speaker 3: Right, right and everything, and so like, uh, he was like hey, you know, do you think you know you can use this tool to help us write grants faster?
• 11:06
  Speaker 3: On our profit side and so going back to that like yeah, sure I don't know, yeah, having no clue what to do I got it.
• 11:18
  Speaker 3: So I told him uh, this is why I like, actually it's probably like we're on this time.
• 11:21
  Speaker 3: We know that time when he took it was like late, late and you know, in a year.
• 11:25
  Speaker 3: And so I told him I said, look, don't, don't expect any results to like end of the year yeah I figured out in a weekend oh, that's what's up, so, uh, so essentially, man, what we end up building was the first um, one of the first ai grant writers on top of gbt3.
• 11:37
  Speaker 3: That's what's up.
• 11:38
  Speaker 3: And so, uh, gbt3 had launched um everything, and so we, you know, we figure it out and, uh, you know, build some stuff around it.
• 11:46
  Speaker 3: You know, from there my transition and everything, and mostly to like, uh, you know, like, the entrepreneur side.
• 11:52
  Speaker 3: So since then, man, I've been um teaching, building me myself as an individual.
• 11:57
  Speaker 3: I have uh ran and did about 60 plus sessions myself myself over the last 16 months.
• 12:05
  Speaker 2: Oh, that's what's up.
• 12:05
  Speaker 1: Congratulations on that.
• 12:06
  Speaker 1: Yeah, man, it's been good.
• 12:08
  Speaker 3: Teaching the general AI to most of the organizations, entrepreneurs and nonprofits, you know, and stuff, how to integrate it, how to build it and just how to use it on a day-to-day basis, mostly around operations.
• 12:19
  Speaker 3: And so from there man been grabbing some clients on the way, putting some solution stuff for them and just kind of like learning and teaching myself, you know with the rest of the world.
• 12:29
  Speaker 1: That's what's up, man.
• 12:29
  Speaker 1: Big, big round of applause for Marlon right?
• 12:32
  Speaker 1: Because the thing that I hear about your journey number one is like just the mindset that you can build anything even if they haven't even seen it yet, or if you haven't even seen it yet.
• 12:42
  Speaker 1: And then being able to get like, not just early access to a tool but put the early access to use, like a lot of people get your early access and be like, oh yeah, it just does this.
• 12:52
  Speaker 1: But you're like no, I'm going to actually build something that does something.
• 12:55
  Speaker 1: And then guess what?
• 12:57
  Speaker 1: It's going to open up doors and paths for the organization I'm supporting, but other organizations and things that I want to go work on.
• 13:09
  Speaker 1: That was like two years before chat gbt, I know that's why I'm like listening to you be like yo, that means you got early access right and it's like I, I got access when everybody else did and there still ain't enough people that has access.
• 13:13
  Speaker 3: You know it's funny too that at that time period it was it was definitely private, it was private beta, um, and yeah, they was approving, you know, I don't know, a couple hundred people a month, whatever it may be, and so at that time opening out was so small you could literally like email specific engineers yeah, yeah and talk to them about what you're building and what you're working on, what you're trying to figure it out and everything.
• 13:35
  Speaker 3: And so, like the biggest transition when we was building, you know this, ai grant writer.
• 13:39
  Speaker 3: You know, basically you had to like store.
• 13:42
  Speaker 3: Uh, you know a database and everything.
• 13:45
  Speaker 3: So now it's like a vector database.
• 13:46
  Speaker 2: Yeah.
• 13:47
  Speaker 3: And so you know, at the time, you know I think I think vector database was coming up, but I just wasn't familiar with it.
• 13:53
  Speaker 3: So, um, you had to put all your documents in a Jason lines file and I was like, what the hell is Jason lines like?
• 14:04
  Speaker 3: I know what json is, yeah I was like what json lines is, and so it's so tedious and everything, and so essentially it's json, but everything but just like line by line, by line, by line by line yeah everything, and so it makes the embedding process easier yeah well, which is the future of vector databases right
• 14:19
  Speaker 3: yeah, yeah, right and so it makes the embedding process easier to read and everything it's going to go through, and so so, yeah, man, so like once I once we built in and kind of understand, I understand the foundations of it and how it reads and how it understands and how it documents you know documents and everything like that I was like, oh, okay, yeah, I see what this is, I see what this is gbt.
• 14:41
  Speaker 3: I probably like saw like the first description, the first line, I was like, oh, I know exactly what this is oh you peep game quick.
• 14:49
  Speaker 1: I know exactly what this is.
• 14:50
  Speaker 1: Yeah, yeah and so.
• 14:52
  Speaker 3: So from there, man, you know, I think the rest of the world was like oh, this is interesting, and I just had the privilege of kind of like being into it and stuff already.
• 14:59
  Speaker 3: And so from there, man, I started teaching building so.
• 15:03
  Speaker 1: So when you seen that, um, and you was kind of like the light bulb, um, did you imagine that's what it was going to be in terms of like from the interfaces that you use api access to this chat interface did you think that that was going to be like the first medium that we're going to?
• 15:15
  Speaker 3: access.
• 15:15
  Speaker 3: You know it's funny, the, the grant router that we built, the structure over it was extremely similar to high chat gt and so we, we, you, have to prompt it yeah, you know to kind of like get the questions and everything, kind of get responses and everything and so what you know with it, and so you have to prompt it and everything you have to, you know, get the queries and just like that, and so like once that process of stuff laid out and now you're doing this for the entire web, I was like, oh yeah, I know this is going.
• 15:40
  Speaker 1: Yeah, yeah, yeah, yeah yeah, yeah, that that was like one of the things that I really, just when I first got Access which was years after you, so you were already in the game I was trying to catch up, but I was like, yo, this interface that they're providing us is exactly what we need to mindset-wise figure out that we're chatting and communicating with it rather than writing queries.
• 16:01
  Speaker 1: Right, it's like when I thought about databases and being able to query items out of a database.
• 16:07
  Speaker 1: I'm writing SQL type commands right, hey, select star from this, join that index.
• 16:12
  Speaker 1: But when I was like, hey, can you just tell me this information?
• 16:15
  Speaker 1: It became really easy for me to be able to communicate with the instance of this LLM, rather than having to learn either a new programming language, a new structure of asking questions, and I could just fluently just speak my own language.
• 16:29
  Speaker 1: Oh, that's what I was like.
• 16:31
  Speaker 1: Oh, this is a wrap.
• 16:32
  Speaker 1: I don't think people know what we really got access to.
• 16:34
  Speaker 3: Yeah, I mean everything started in 2017 with the, with the Google research paper.
• 16:38
  Speaker 3: Attention is all you need introducing transformers.
• 16:40
  Speaker 3: And so you introducing transformers and so you know from that, from that point on, you know that's when, just kind of like, this whole landscape and stuff change.
• 16:48
  Speaker 3: You know.
• 16:48
  Speaker 3: So, like you know, think about just like what last week apple introducing apple intelligence, which, in my opinion, they're about to secretly get rid.
• 16:54
  Speaker 3: Get rid of siri yeah, I think so.
• 16:57
  Speaker 1: Are you expecting a new voice or same voice?
• 17:00
  Speaker 3: I'm not.
• 17:00
  Speaker 3: I'm not necessarily.
• 17:01
  Speaker 3: I think what's going to happen is you're going to be able to choose your voice.
• 17:05
  Speaker 3: Okay, maybe choose your voice or even mimic your own voice, yeah, and so I think that, if you look at the acquisition of Siri to today, it hasn't really changed much.
• 17:18
  Speaker 1: Yeah, it's disappointing in my opinion.
• 17:20
  Speaker 3: Right, it's over a decade.
• 17:22
  Speaker 3: Yeah, it hasn't really changed much or anything.
• 17:24
  Speaker 3: My opinion, right.
• 17:25
  Speaker 3: What is this over a decade?
• 17:26
  Speaker 3: Yeah, you know, it hasn't really changed much, everything.
• 17:27
  Speaker 3: And so then you come out in most of it is because, like you know, the nlp world and everything also hasn't, you know, developed much as well.
• 17:31
  Speaker 3: But in 2017, that's when everything changed and so you know opening eye, you know, just really just kind of jumped out there and it's just right now.
• 17:39
  Speaker 3: I mean, you know opening eyes better than siri, a Google Assistant, all of them put together.
• 17:45
  Speaker 1: Yeah, 100%, 100%.
• 17:47
  Speaker 1: Now, who do you think is like a second up after OpenAI?
• 17:54
  Speaker 3: You know from what standpoint Are you talking about?
• 17:57
  Speaker 3: From a competitor standpoint, or are we talking about from a voice assistant standpoint?
• 18:00
  Speaker 1: I would say a competitor standpoint.
• 18:03
  Speaker 3: You know this is going to sound really weird.
• 18:04
  Speaker 3: I would say a competitor standpoint.
• 18:05
  Speaker 3: You know this is gonna sound really weird.
• 18:05
  Speaker 3: I would say microsoft, microsoft microsoft yeah yeah, yeah.
• 18:11
  Speaker 3: So microsoft is a partner of mine, um and stuff.
• 18:14
  Speaker 3: Now, uh, we'll be doing doing some ai education stuff with them, and so I have the privilege of kind of like seeing someone behind the scenes he's seen some stuff so when I saw it I was like oh, y'all really get this so one of the public things I can't say is just like think about microsoft, um, invest into mistral, you know, and so like okay, why do you do that?
• 18:41
  Speaker 3: you know you're already having a large investment into open ai.
• 18:43
  Speaker 3: Yeah.
• 18:44
  Speaker 2: Yeah, yeah.
• 18:44
  Speaker 3: Why did you invest into Mistral?
• 18:45
  Speaker 2: Yeah.
• 18:46
  Speaker 3: And so, you know, mistral is the France-based, you know LLM company, and so it's like why do you invest into that?
• 18:52
  Speaker 3: And everything, okay, okay, what I think was going to happen, and Jason Yang, the CEO, different parts of the world will figure out a way how to own their culture.
• 19:18
  Speaker 1: Oh, I like that.
• 19:19
  Speaker 1: Drop a gem for that Own their culture.
• 19:22
  Speaker 3: I think they're going to figure out a way how to own their culture.
• 19:23
  Speaker 3: I think they're gonna figure out a way how to own their culture.
• 19:25
  Speaker 3: And so we're gonna come to a place where, right now, you can just kind of go and google translate and you know, translate something from english to chinese yeah and I think what's going to happen is, um, china's going to figure out a way how to own their culture, own their language, and you're gonna have to make some type of api call yeah to them to just train, you know transition language for sure, and so, um, I think that's, like you know, kind of like where things are headed.
• 19:49
  Speaker 1: And so for microsoft to invest into mistral, because, as great as opening eye is, you know they won't be ever as efficient as company near the people who are from that country yeah yeah, and so I think, um, they are a partner, they're also a competitor that that was so weird, bro, when I first saw that um, because, in my mind, first of all, microsoft has been in this game for a minute, so they already know the stunt, they know the play um, and and I feel like they jumped ahead against all the other competitors, like google, a um, apple and also amazon, like they just leaped ahead.
• 20:23
  Speaker 1: But their leap ahead was by acquiring a company that I know that they're going to build something very similar and find something right.
• 20:30
  Speaker 1: And this is almost like if you go back in history, when apple first came out and had to get some money from microsoft type stuff.
• 20:36
  Speaker 1: Right and it's like oh, why are they giving them money?
• 20:38
  Speaker 1: Why are they doing that?
• 20:39
  Speaker 1: And then you didn't really understand the value, until you get to where we are right now.
• 20:43
  Speaker 3: That's a great analogy and it's like yo uh microsoft yeah, of course it's a trillion dollar company.
• 20:48
  Speaker 3: Yeah, that's when the steve jobs invited um bill gates.
• 20:52
  Speaker 3: Bill gates on the digital screen yeah, they booed him.
• 20:54
  Speaker 1: Yeah, facts right yeah and it's almost like, uh, they're taking that same playbook and replaying it with a new technology.
• 21:04
  Speaker 1: That's it's changing the world, um, and I think they're.
• 21:07
  Speaker 1: They're being very strategic.
• 21:08
  Speaker 1: So, even hearing you say like, hey, they're making moves, I know they're making moves because it's definitely in their history.
• 21:15
  Speaker 3: Yeah, I'm still trying to figure out the the end goal and stuff with them.
• 21:21
  Speaker 3: I think they are.
• 21:22
  Speaker 3: So this, this is what I'm starting to figure out with a lot of these companies.
• 21:26
  Speaker 3: I think the big boys understand now that they are laying the pavement of this new world, they're laying the concrete of this new world, and they also understand that it's a lot easier if we partner and we all build cement trucks, everything, and so I think they're getting to that place.
• 21:51
  Speaker 3: When I say so, this is why, you see, you know, um, I think, uh, amazon, amazon, you know they.
• 21:58
  Speaker 3: They partner with uh, perplexity, um, you know opening has partnered with a bunch of people.
• 22:03
  Speaker 3: Their name I might.
• 22:03
  Speaker 3: You know apple, you know things like that, and so why do you do that?
• 22:04
  Speaker 3: You know why you do when a bunch of people, you know Apple.
• 22:05
  Speaker 3: So why do you do that?
• 22:06
  Speaker 3: You know why you do.
• 22:07
  Speaker 3: You already have your own NLP teams.
• 22:09
  Speaker 3: You already have your own research, you already have your own.
• 22:12
  Speaker 3: You know IP and everything, because now it's a partnership thing.
• 22:15
  Speaker 3: And the Orlando Foundation, which is beautiful because individuals like us and you know 99% of the world is now get to work and lay things like the railroads, you get to do even like the, the painted lines on the I like the way you're thinking you know, yeah, and so microsoft I'm starting to figure out is like they're becoming so agnostic where they know opening up is going to be a player.
• 22:48
  Speaker 3: We don't know if they're going to be number one and stuff.
• 22:50
  Speaker 3: They can be five, ten years.
• 22:51
  Speaker 3: Nobody knows they're going to be a player, but just some of the tools that they're building and everything they're making it easier for engineers to seamlessly integrate models.
• 23:00
  Speaker 3: They're like a hugging face.
• 23:02
  Speaker 2: Yeah.
• 23:02
  Speaker 3: Which you can potentially see them as competitor yeah you know mistral and everything, so just making so many things agnostic and stuff like as well, and so you know.
• 23:10
  Speaker 3: But I think for them the long play, one of the long plays, is like kind of like getting pink, getting things back on azure, you know to as well that's the hustle right compute platform.
• 23:20
  Speaker 3: That's the hustle one, 100 and so yeah, I, I, you know, I definitely say they, they, they, they understand it and they, they've.
• 23:27
  Speaker 3: They're starting to figure things out.
• 23:29
  Speaker 3: But a lot, a lot of the big companies stuff are too so, and now a lot of big companies are starting to partner and so, I think, opening eyes now about to raise another round, so I got 150 billion or something like that and you know the two big people they're talking to to get involved is apple and nvidia yeah, yeah, yeah, yeah you know they both.
• 23:45
  Speaker 3: Still, these are simply competitors, you know what I mean, but they're looking to partner with them, like you said.
• 23:50
  Speaker 3: Going back to the Microsoft Apple example, yeah, they're looking to both invest back into open AI, and so I think now it's like they're all starting to kind of like cement together.
• 23:59
  Speaker 3: All right.
• 24:08
  Speaker 1: And then from there, the worst of the world just kind of build on top of it.
• 24:10
  Speaker 1: For sure, and and and I think another word that comes to mind that I'm always thinking about about these companies is like I feel like they're creating the, the operating system for ai, like that level, like you have windows, microsoft, you got linux and you got unix right, and those are like the foundational operating systems you build off of, and actually, technically it's windows and's Windows and Unix, because Linux is based off of Unix.
• 24:26
  Speaker 1: And it's like as soon as they start and understand that, that becomes the foundation everybody's going to be building on them.
• 24:32
  Speaker 1: And then another point that you mentioned up in terms of these hundreds of billions that OpenAI is putting together is like compute is the next big big thing.
• 24:44
  Speaker 1: It's like computing resources, computing power, data center energy, that type of technology, that level of innovation, is a space that's wide open Because, if I think about it, even when I, you know, got off the keyboard one of the first, you know, gpus that we introduced in the environment, I was the one that set it up and I'm like yo, if that's how it's all set up, I know it could be better.
• 25:06
  Speaker 1: Right, it's the.
• 25:06
  Speaker 1: The technology itself isn't as efficient as it is.
• 25:09
  Speaker 1: The cooling systems aren't the best, the processors are are extremely hot.
• 25:13
  Speaker 1: It's like I'm thinking like what?
• 25:15
  Speaker 1: What?
• 25:15
  Speaker 1: The next iteration five to ten years from now?
• 25:17
  Speaker 1: It's going to open up even more.
• 25:20
  Speaker 3: I will say this the federal, the Reserve, announcing that they're going to lower the interest rate by 50 base points and you know he's been signaling that it's going to come down.
• 25:32
  Speaker 3: And so right now money is expensive.
• 25:35
  Speaker 3: You know it's expensive, you know, for your everyday individual.
• 25:38
  Speaker 3: It's expensive for investors, things like that, investors, anything like that the boom that we've seen in past decades of innovation and growth in companies has happened typically when money is cheap, facts and interest is down.
• 25:56
  Speaker 3: Now we're starting to head that way.
• 25:58
  Speaker 3: It may take a couple of years, stuff like that may be.
• 26:00
  Speaker 3: I would argue at this point, where typically it's difficult to do anyway, there's probably no better time to start a hardware company.
• 26:10
  Speaker 1: Drop a gem for me on that.
• 26:12
  Speaker 3: Facts.
• 26:13
  Speaker 3: There's probably no better time Because now it's about to become cheaper You're going to start to have the inception of AI and operations to be able to help you with things like billing, invoicing, emailing, whatever it may be, and that's going to happen at scale, which will allow you to focus on the hardware side of things, and then you'll be able to acquire um, you know, some of your materials, you know, at a cheaper rate.
• 26:44
  Speaker 3: There's no better time right now to start in a hardware company yeah so I think on the back end of that I'm not sure how long it may be I've been pretty good at like predicting what's going to happen next.
• 26:53
  Speaker 1: I've been pretty bad I'm subscribed, bro, when it's gonna happen.
• 26:56
  Speaker 1: Send out your weekly emails, bro, I'm watching.
• 27:00
  Speaker 3: But I think now starting now and then let's call it 5, 10, 20 years is basically the back end of this, you know, is where you're going to start to see the full autonomy of robotics, particularly in the home.
• 27:17
  Speaker 3: Yeah, yeah for sure.
• 27:19
  Speaker 1: I could totally that path is opening up.
• 27:22
  Speaker 1: Um, I think it's.
• 27:23
  Speaker 1: I think we've been preparing ourselves for it with all the media content that we have out there and movies and stuff like that one of my favorite movies I robot type stuff, and it's like I can already see that that path is opening up.
• 27:35
  Speaker 1: And and the thing that I think, um, um, our people in society needs to be mindful of is that software usually moves faster, but then software gets to a limit where hardware needs to catch up.
• 27:46
  Speaker 1: Now you're saying it's like yo, software is shooting for the stars and they already have a pathway.
• 27:52
  Speaker 1: It's like the hardware space is opening up and definitely an opportunity for us to find ways to contribute, build, develop, innovate.
• 27:59
  Speaker 1: And it's like it's the same story again.
• 28:02
  Speaker 1: The system got really good, really good, and then we had to build different type of hardware, used to be big old mainframes, and then we got to these smaller pizza boxes and then we got to virtualization, then we got to containerization.
• 28:12
  Speaker 1: We've been trying to get down to the least amount of resources, but it's still hardware itself that we have to innovate and definitely take it to the next level, and we're're right there.
• 28:20
  Speaker 1: We're right at that spot.
• 28:22
  Speaker 3: You know who sends more.
• 28:24
  Speaker 3: Let's call it API calls that is not an API company.
• 28:28
  Speaker 3: You know more than anybody who Zapier.
• 28:33
  Speaker 1: Oh, that's a great transition there.
• 28:35
  Speaker 3: Tell us a little bit about Zapier.
• 28:36
  Speaker 1: What is Zapier?
• 28:37
  Speaker 3: So Zapier is an automation platform and it allows you to kind of, you know, connect one platform to the other, and so, you know, it allows you to connect your instagram to your google sheets, it allows you to create your, connect your gmail and everything to your hootsuite, and so, um, you know, their automation platform, um, a friend of mine's, um, we, we've mentioned this person before and I go blank on his name every single time.
• 29:01
  Speaker 1: Nick Caldwell, nick Caldwell, my guy, what's up, nick Caldwell?
• 29:04
  Speaker 3: Shout out to Nick, yo, nick, I need you on the show, bro, Pull up, pull up.
• 29:08
  Speaker 3: I didn't answer this phone call, no more.
• 29:09
  Speaker 3: But Nick, I ran an engineering conference some years ago and Nick was one of my speakers and stuff there and Nick said one piece and this is like man, this is like four or five years ago.
• 29:23
  Speaker 3: Nick said he prefers to hire bootcamp grads because now bootcamp grads are being taught simply how to connect one platform to the other.
• 29:33
  Speaker 3: Facts and how do you get to communicate.
• 29:35
  Speaker 2: Yeah.
• 29:36
  Speaker 3: And that's what a whole world is moving, oh my gosh.
• 29:38
  Speaker 3: And so how do you connect one platform to another and anything, and then, in the intersection of that, the bloodline of that, you know, can be, you know, artificial intelligence.
• 29:45
  Speaker 3: So you know, zapier, right now, yeah, I think it's.
• 29:49
  Speaker 3: I think the last time I think it was like they're making it was like 10 billion or 10 million calls per month good lord everything around ai tasks, um, and so they say that they've seen that the creativity, the intersection of things has started to kind of like plateau, which is a beautiful time to be, because typically in history, when things plateau and it always happens they call the adoption curve.
• 30:19
  Speaker 3: Whatever you want to be, when things plateau it's typically where the building happens.
• 30:21
  Speaker 3: You know what I mean.
• 30:21
  Speaker 3: This is where the entrepreneurs always happens and you're thinking, called the you know adoption curve what are you going to be when things?
• 30:24
  Speaker 3: plateau is simply typically what a building happens?
• 30:25
  Speaker 3: Yeah, you know what I mean.
• 30:25
  Speaker 3: This is where you know the entrepreneurs and things start to like do the building and start to kind of like, you know, kind of go into a cave and stuff, if you will.
• 30:32
  Speaker 3: Yeah so you know, I think now you know, dex can be building the next AI version of Facebook for Facebook and mom's basement right now.
• 30:44
  Speaker 3: Facts you know, just because now you have so many different tools and everything at your fingertips.
• 30:50
  Speaker 3: You know you got the cursors.
• 30:50
  Speaker 3: Ai, you know, you have.
• 30:52
  Speaker 3: You know, get her copilot.
• 30:53
  Speaker 3: You know you have you know, obviously touch a routine, all sorts of that and so being able to build these tools at a rapid pace.
• 31:00
  Speaker 3: Man, things are about to get wild, yeah yeah, it is.
• 31:02
  Speaker 1: Yeah, it is, and I'm inspired by you even mentioned Zaps or Zapier, because one of the things that I always find about those platforms and I know it sounds wrong to say it, the way that we're about to say it, but just know how much it's going to empower the next generation is they're considered like a no-code platform, like you don't have to be a developer, you don't have to be a software engineer, you don't have to spend a whole year locked up in somebody's house.
• 31:27
  Speaker 1: You know, learning the code.
• 31:28
  Speaker 1: It's more or less hey, how do I connect this to this?
• 31:31
  Speaker 1: What are the credentials?
• 31:32
  Speaker 1: What are the fields that I want to make sure that they connect?
• 31:33
  Speaker 1: Oh, that's what it's called on that platform.
• 31:35
  Speaker 1: That's how it's called that platform.
• 31:36
  Speaker 1: When you do this, put it over here.
• 31:38
  Speaker 1: That no-code scene, oh my gosh.
• 31:41
  Speaker 1: Like another one that I know is Make.
• 31:43
  Speaker 1: Make is a really good one.
• 31:44
  Speaker 1: And then one that I've actually been playing and we talked about here on the show is NAN, n-a-n, and it's one of those that are a workflow orchestration system, no-code platform, but you can actually run it your own.
• 31:57
  Speaker 1: You don't actually have to run it on another platform.
• 31:59
  Speaker 1: You can actually run your own version don't actually have to run it on another.
• 32:02
  Speaker 1: On another platform, you can actually run your own version of it.
• 32:04
  Speaker 1: Um, and the cool thing about it is this platform, nan, and I'm not out here, you know, trying to choose whichever one, but I'm just saying that, that that those platforms are things that I feel like our community needs to double down on and really invest in facts there's also, too, if if you realize it or not um, it's, it's also getting rid of the need for the api facts I can't believe.
• 32:23
  Speaker 1: You just said that and I'll just interjecting real quick.
• 32:26
  Speaker 1: One of the things that I remember teaching my mentees when I was at the keyboard is that I was like, hey, everything should be an api.
• 32:33
  Speaker 1: Everything, everything I talked to, everything, communication like an api, api, api.
• 32:38
  Speaker 1: And now you're saying is like we want to abstract that away, because that's what the api does.
• 32:42
  Speaker 1: It just basically abstracts any operation that you think is going to happen.
• 32:46
  Speaker 1: You're just expecting the output.
• 32:48
  Speaker 1: Right, it's like you put in some input.
• 32:49
  Speaker 1: You expect the output just like a function, but it's like an internet function call that you're making.
• 32:54
  Speaker 1: And now you're saying we need to extract away that.
• 32:56
  Speaker 3: Yeah, that's fine, it's already happening.
• 32:57
  Speaker 3: That's fine.
• 32:58
  Speaker 3: You got webhooks and stuff.
• 32:59
  Speaker 3: Now you know you got automations and stuff.
• 33:01
  Speaker 3: Now I think what's going to happen is we're going to come to a place where you're going to have agents at scale, meaning, if you want to build something, you're going to either build or acquire or buy, subscribe a highly intelligent Python agent, and that Python agent will be able to it would have its own you know, its own version or thing of you know API.
• 33:35
  Speaker 3: You know it understands endpoints and all these like that.
• 33:37
  Speaker 3: And so, basically, what you're going to have, you're going to be going back to just you know Ilya, the co-founder of opening eye.
• 33:45
  Speaker 3: He tweeted some months ago.
• 33:47
  Speaker 3: He said basically, uh, uh, the new code language is english, and so what's going to happen is that you're going to write a prompt and it's going to say hey, I would like to build a web app, um, that go, pulls in data from open table, um, so I can look for automatic dating spots for me and my wife.
• 34:11
  Speaker 3: Um, you're going to connect with my calendar.
• 34:15
  Speaker 3: You want to connect with her calendar?
• 34:17
  Speaker 3: Look for openings.
• 34:18
  Speaker 3: The most important thing is that we have bi-weekly date nights.
• 34:22
  Speaker 3: I'm allergic to this.
• 34:23
  Speaker 3: She's allergic to these things.
• 34:25
  Speaker 3: She prefers italian.
• 34:26
  Speaker 3: I love american.
• 34:28
  Speaker 3: You know food.
• 34:29
  Speaker 3: Um, here's the budget and stuff that, uh, that we have on a bi-weekly basis.
• 34:35
  Speaker 3: Um, you already have my work hours, uh, and, by the way, while you're at it, help us find a babysitter that's fire and then it will connect to another platform, everything, and it will do the whole api endpoint processing by itself yeah and literally what you'll just do.
• 34:51
  Speaker 1: You'll just give it like your password or your login yeah things like that, and it'll do that whole process by itself man, you, you, just you just changed the way that I'm thinking.
• 35:00
  Speaker 1: Um, like what the future would be right, and I hope the audience is listening to this.
• 35:05
  Speaker 1: We was originally talking about API calling this, putting Zapier in between, but what Marlon's describing is just being able to use English as a programming language, define what you want and then the agents themselves they'll figure out how to do it and then let you know when it's done.
• 35:21
  Speaker 2: Sounds to me like we're looking for the next John B Rockefeller.
• 35:26
  Speaker 1: Ready to go right.
• 35:27
  Speaker 1: Man, that's amazing, because I don't think that even me thinking and having access to all of this, really think about that next level of abstraction, because I'm still thinking like, hey, how do I automate talking to APIs and stuff like that?
• 35:41
  Speaker 1: And what you're saying is don't get down in the weeds like that, the AI will figure it out for you.
• 35:46
  Speaker 1: Go one more layer up and just create prompts that define the states that you want.
• 35:50
  Speaker 3: The most difficult time right now.
• 35:52
  Speaker 3: The most difficult thing right now as an entrepreneur is if you're building in AI focus service tool, whatever it may be, if you're building a level one application just making API calls where you're making a mistake, drop that gym phone number one one of these companies probably going to do it, and so right now, if you're trying to build and I'm not picking on anybody number one one of these companies is probably going to do it, you know.
• 36:23
  Speaker 3: and so, right now, if you're trying to build and I'm not picking on anybody if you're trying to build an automated calendar assistant, yeah, it's so easy for opening eye for Google, you know, for somebody to build that.
• 36:40
  Speaker 3: You know this is like a level one application and it's difficult right now because you have no clue what's on their roadmap and you need to go deep and highly focused on your customer.
• 36:58
  Speaker 2: Yeah.
• 36:59
  Speaker 3: You know to be successful in this next 10 year of things.
• 37:02
  Speaker 3: I mean, how many times have you seen you know opening, I announce you know a new model, and then people tweeting like, oh, they just ruined my whole business isn't that when they came out with uh uh, chat, gpt, um, what they call gpts?
• 37:17
  Speaker 1: yeah, like when they came out with their own gpt um, um, agent model or agent way of setting up and configure um?
• 37:24
  Speaker 1: I believe you even were talking about that in the talk that I seen you do.
• 37:27
  Speaker 1: Yeah, I predicted gpt's.
• 37:29
  Speaker 3: Like six months before opening I announced the gpt store and so I was.
• 37:32
  Speaker 3: I was hosting a workshop.
• 37:33
  Speaker 3: Um, felicia hatcher, she did the I can't remember the name of the conference, but she did a conference down in miami and, um, I was one of the workshop hosts and stuff there and so I was showing how work gpt was going to work yeah I had like three gpt's and stuff that I was showing and just like six months before they announced gpt store, and then they announced it.
• 37:54
  Speaker 3: I was like oh crap again I'm good at predicting what's gonna happen.
• 37:58
  Speaker 3: Yeah, yeah, I didn't think it was gonna happen that fast oh man, did y'all hear what he just said?
• 38:02
  Speaker 1: he did not know it was going to happen that fast.
• 38:05
  Speaker 3: That's how fast this thing is iterating yeah, we're, we're in, um I mean, everything is I mean, and my most exciting thing that's coming is these voice agents I mean it's here yeah, man, it's going to get, wow, yeah it's going to change the game.
• 38:19
  Speaker 1: It're going to change the game wow, yeah, and, and, and, if you're not familiar with it, um, when open, ai released um, I don't know if they actually released it yet they have released, uh, a voice.
• 38:30
  Speaker 1: Uh, they've released videos of having voice conversations, that at that really high level, but I haven't gotten it yet.
• 38:36
  Speaker 3: On my another thing open yeah, I've been a part of this community.
• 38:40
  Speaker 2: Give it to him for quite some time come on, man send me the invite I got I got access to uh search, gpt, uh-huh.
• 38:49
  Speaker 3: They send me that and say I know an individual uh-huh and this individual communicate me how they release you know features, and so the there's some tiers and I think it's like five tiers.
• 39:00
  Speaker 3: Tier one is partners and nonprofits.
• 39:04
  Speaker 3: They get the first access.
• 39:06
  Speaker 1: Yeah, and that's how you got in the first time, right?
• 39:08
  Speaker 3: Yes, yeah yeah, yeah, so the partners and nonprofits.
• 39:10
  Speaker 3: That's how they get early access.
• 39:12
  Speaker 3: Next tier no, I'm sorry, tier one is trusted developers, so they got a bunch of developers in there like a consortium.
• 39:20
  Speaker 3: Next tier is um uh, it's partners and um nonprofits.
• 39:25
  Speaker 3: Yeah, the next tier is a high engaging developers so I'm in that tier everything um.
• 39:32
  Speaker 3: Next tier is I can't remember the fourth tier and then the fifth tier is like everybody else yeah yeah, and so I'm in a third tier my guys say holla at him, yeah, I haven't got advanced voice.
• 39:44
  Speaker 3: Yeah, yeah, everything and I've been seeing a few people and read it and stuff like that.
• 39:48
  Speaker 3: I've been flagging everybody's account who gets it I've been hating I've been waiting that's hilarious you know it's funny and it's probably a good thing that I haven't got it yet, because I also don't know if they're going to.
• 40:04
  Speaker 3: Really I know they're going.
• 40:05
  Speaker 3: What I what I've been seeing is that they released it on the chat to bt side I'm not sure they released it on api side that's when it's going to really open up, and so it's probably a good thing for me, because I've already told you know people like look I'm so the minute I get the email, I'm shutting down for like a week.
• 40:22
  Speaker 3: I'm about to build some stuff and so it's probably a good thing.
• 40:26
  Speaker 3: I haven't got the email yet.
• 40:27
  Speaker 1: Yeah, but hey, if you're listening, chat gpt or open ai, all of y'all out there, first of all highlight us, because we look for sponsorship.
• 40:35
  Speaker 1: You know I'm putting the plug there, right, right.
• 40:37
  Speaker 1: But also my guy needs access because I'm trying to see what he's building so I can just you know what you're doing.
• 40:41
  Speaker 1: But no, I mean the these voice um models that they're about to release has a different type of uh communication, so much so that I'll even go back to when I was asking you hey, will siri have the same voice?
• 40:56
  Speaker 1: Is that same mindset?
• 40:57
  Speaker 1: Is that now our interface for communication?
• 41:00
  Speaker 1: It moves away from text and chat and to just direct input, output in terms of conversation.
• 41:08
  Speaker 1: Oh my gosh, oh my gosh.
• 41:10
  Speaker 3: It goes deeper than that, yeah, I mean, we imagine a world where you're going to basically eventually have either full-time, part-time or in-between sessions in AI Therapist.
• 41:25
  Speaker 3: You know why do you do that?
• 41:27
  Speaker 3: Number one it's available 24-7.
• 41:30
  Speaker 2: Yeah.
• 41:31
  Speaker 3: It will have a deep knowledge or anything.
• 41:33
  Speaker 3: You know your private vector database, you know public, whatever it may be.
• 41:36
  Speaker 3: It will have a deep knowledge of you.
• 41:38
  Speaker 3: And then two, it will be able to.
• 41:42
  Speaker 3: You know we're already starting to see that it can.
• 41:44
  Speaker 3: It can respond in, you know, with empathy voice.
• 41:47
  Speaker 3: You know comical voice, a little bit firmer, things like that.
• 41:51
  Speaker 3: Okay, so that part is out the way.
• 41:53
  Speaker 3: But the storing of information and think about you, you know you can have these things profit.
• 41:58
  Speaker 3: So what does it go?
• 42:00
  Speaker 2: from.
• 42:00
  Speaker 2: There.
• 42:01
  Speaker 3: Going back to the thing of webhooks and kind of not needing, on the developer side, api stuff.
• 42:08
  Speaker 3: Eventually, we're going to see a world where you just lost your dog, just lost your dog and he passed away, and you check in with your therapist and it's like man, this is really difficult.
• 42:24
  Speaker 3: I had him for the last 15 years and it's like that and you're expressing all the different things like that and it's listening, it's responding and you're starting to feel better.
• 42:34
  Speaker 3: And so from there going back to the thing of the webhook, it also checks your database and realizes, through difficult times of your life, the things that helped you get through these is songs, music.
• 42:52
  Speaker 2: What does it do?
• 42:52
  Speaker 3: then Everything it could have your information, where it may be.
• 42:56
  Speaker 3: But from there it goes to connect with an AI platform like Sono or Stable Diffusion.
• 43:01
  Speaker 3: There it goes to connect with an al platform like sono, you know, or stable diffusion, and it gives, it gives.
• 43:05
  Speaker 3: It creates its own problem.
• 43:07
  Speaker 3: What you're going through, your dog's name, all the different things like that it also understands.
• 43:11
  Speaker 3: Al green is one of your favorite artists of all time and this likeness, with this permission of you know royalties and stuff like that.
• 43:21
  Speaker 3: It creates a song on your experience of what you're going through, to help you get over this hurdle.
• 43:31
  Speaker 1: That's powerful.
• 43:32
  Speaker 1: That's powerful.
• 43:34
  Speaker 1: That's like speaking to your spirit type stuff.
• 43:40
  Speaker 1: That's like speaking to your spirit type stuff, because now it's like not just following along, um, and and tracking and keeping up with it, but also making recommendations in the best mediums that you receive.
• 43:50
  Speaker 1: For me, music is definitely one of those mediums.
• 43:53
  Speaker 1: Movies might be poetry, poet, um, an article like it could be.
• 43:58
  Speaker 1: The ai will eventually figure it out and then have the ability to be creative in that space, to create something to speak to my spirit.
• 44:05
  Speaker 1: Wow, hey, you got a newsletter or something like that.
• 44:10
  Speaker 1: How can, how can people follow along?
• 44:12
  Speaker 1: Because every time you drop these gems I can't have the camera set up every time me and some buddy of mine.
• 44:19
  Speaker 3: We just started a podcast ai with friends.
• 44:20
  Speaker 3: Oh big shout out, so let's give a big round of applause.
• 44:21
  Speaker 1: Ai with friends and so.
• 44:21
  Speaker 1: Uh, you know, it's funny, man, Me and some buddy of mine, we just started a podcast.
• 44:22
  Speaker 1: Ai with Friends oh, big shout-outs.
• 44:23
  Speaker 1: Let's give him a big round of applause.
• 44:24
  Speaker 3: Ai with Friends and so my buddy shout-out to Sekou and Adrian.
• 44:28
  Speaker 3: Sekou is a principal cloud engineer at Pinterest.
• 44:34
  Speaker 3: Adrian is the VP of engineering at Live Nation.
• 44:37
  Speaker 3: That's what's up so we've been having these conversations about the last year and we're just like, just like this we're talking about what we've seen, what we're building, what we're working on, you know, sharing, and then, just like a couple months ago, he was like man, you know what.
• 44:49
  Speaker 3: This will probably be valuable for a lot of people.
• 45:02
  Speaker 1: And so, like our friends oh my gosh, I'm already subscribed, bro, I'm ready for it, because I think the thing that I'm I'm enjoying about our conversation is is, um, first of all, uh, my circle around me in terms of people that are aware of this technology is very limited.
• 45:10
  Speaker 1: It's going to de-hustle or raymond don't call him ray ray and just a few people, and what I'm realizing is that our circle, our, our ability to think beyond, is still limited by just the circle.
• 45:21
  Speaker 1: So I need input from other people like-minded or thought leaders like you.
• 45:26
  Speaker 1: That just last five, ten minutes blew my mind.
• 45:30
  Speaker 1: I'm already thinking beyond what I've already thought, and all it was is just to hear where you're at in your journey or where your thought is.
• 45:36
  Speaker 1: So, if you're not already subscribed, first of all subscribe to the podcast here at the Tech Hustle.
• 45:40
  Speaker 1: So if y'all not already subscribed, first of all subscribe to the podcast here at the tech hustle.
• 45:43
  Speaker 1: Go check my guy out, because he definitely, definitely is going to get you to think about this stuff in a different light and it's coming from somebody that's from our community.
• 45:49
  Speaker 1: That's the thing.
• 45:50
  Speaker 1: That's just like getting me riled up is like it's not like a sam alton or one of these vps or ceos of these big companies that you can't resonate with.
• 45:57
  Speaker 1: It's coming from your guy, he's, he knows what it feels like and now he's starting to see these moves that are starting to open up.
• 46:03
  Speaker 1: This is how we're going to be able to catch this wave.
• 46:05
  Speaker 1: So, first of all, thank you so much, my brother.
• 46:07
  Speaker 1: Continue to push, keep doing what you're doing.
• 46:10
  Speaker 1: Um, because you are already in this last five, ten minutes already gave me a new, new business idea.
• 46:15
  Speaker 1: I don't I might be looking for investors soon.
• 46:17
  Speaker 1: So for sure, for sure, for sure, man.
• 46:21
  Speaker 1: So, in terms of like, I think we've really talked about ideas, um, of where ai could go and and kind of how far we could stretch it.
• 46:30
  Speaker 1: But I want to get down into the nitty-gritty, like, uh, what are you building as of late?
• 46:34
  Speaker 1: Uh, what is like a project that you're really, like, passionate about?
• 46:37
  Speaker 1: Um, outside of the, you know, this north star, thinking um is something that you've been, um, really, you know, dedicating some time to yeah, man, definitely.
• 46:46
  Speaker 3: Um, um, I got, I got two, I got a few clients, but I got two major ones right now.
• 46:50
  Speaker 3: Um, uh, if you've been in miami, um, there is a very popular and it is it means world renowned viscaya, and so Viscayu Museum is a client of mine.
• 47:01
  Speaker 3: You know it's funny.
• 47:03
  Speaker 3: My whole mission and stuff now is to decrease fear with AI, increase creativity.
• 47:12
  Speaker 3: I like that, so I decrease fear of your workshops and so I can show you how it's built.
• 47:17
  Speaker 3: I can teach it and everything and I can do it for anybody in the room.
• 47:20
  Speaker 3: I can talk to the PhDs and everything, and I can show you how it's built.
• 47:25
  Speaker 3: I can teach it and everything and I can do it for anybody in the room, I can talk to the PhDs and everything, and I can talk to your everyday workforce and so I can shift and everything, no matter the topic and stuff like that.
• 47:33
  Speaker 3: And so with that we decrease fear by doing workshops and showing what they can do and then at the end of those workshops, whole goal is for number one.
• 47:45
  Speaker 3: I want when I get done, I want that, that look on your face.
• 47:47
  Speaker 3: I'm like I like I ate too much I'm full.
• 47:51
  Speaker 3: Yeah, I want that, yeah because then your mind starts to open, starts to expand, and so, from there, my work is done.
• 47:58
  Speaker 3: Because then, from there, you know individuals are already creative, then your creativity is going up to the.
• 48:03
  Speaker 3: From there you know individuals are already creative, then your creativity is going up to the place.
• 48:07
  Speaker 3: I'm like man, you know is it possible.
• 48:09
  Speaker 3: You know, you can build this and I'm like, actually we can.
• 48:11
  Speaker 3: You know we have agency, you know that we can build these things.
• 48:14
  Speaker 3: So I'm going to say this high choir of the Sky Museum is a client.
• 48:17
  Speaker 3: They came to one of my workshops and I didn't even know they was in the room.
• 48:20
  Speaker 3: Look at that.
• 48:22
  Speaker 3: And so so the the founder if you've been there, it's a world renowned place and I think it's a beautiful, beautiful place known for you know it's, it's architecture and also to his art and stuff there.
• 48:32
  Speaker 3: And also the, the the garden, you know the founder built.
• 48:38
  Speaker 3: So the founder built.
• 48:42
  Speaker 3: So the founder's name is james deering.
• 48:43
  Speaker 3: And they reached out to me and said hey, you know, marlin, we acquired like thousands of letters, you know, from james deering, and so these were like letters, yeah you know.
• 48:50
  Speaker 3: So these, like you know, late 1800, early 1900s and so, and basically these are like just day-to-day communication.
• 48:56
  Speaker 3: You can call the text messages you know via letters that's what it used to be right.
• 49:00
  Speaker 3: You got to wait for that mail, though, and so, basically, they wanted to take all these letters, all these letters and, basically, you know, storm into um, take the information from them and storm into, like a database and everything, and build a communication.
• 49:15
  Speaker 3: Um, you know, version of James Deering, oh my gosh, for the client, for the visitor, to be able to chat to, to learn more.
• 49:25
  Speaker 3: You know everything about James Steering, you know the museum and things like that, and so.
• 49:27
  Speaker 3: So, yeah, we're also partnering with Microsoft, so we built this on top of Azure too as well, where we're using OCR, which is Optimal Character Recognition, and so, you know, it was interesting too, because, like, a lot of these letters are handwritten.
• 49:39
  Speaker 3: You know some of these letters are typed, some of these letters have burn stains on them.
• 49:47
  Speaker 3: You know, like, these are like letters that they acquire, and so, uh, building that process and then the uh, the other client is a neurologist office and I talked about them before, and so, um, I mean, we're about to go live.
• 49:56
  Speaker 3: So here, um, you know, full-scale live, so soon yeah.
• 50:00
  Speaker 3: This is an AI phone agent.
• 50:01
  Speaker 3: They reached out to me and said they're receiving 5,000 to 6,000 calls a month and their team only gets half of them.
• 50:08
  Speaker 3: They wanted to figure out can they use AI to take over the phone lines?
• 50:13
  Speaker 3: I was like yeah for sure.
• 50:15
  Speaker 3: Basically, we built an AI phone agent that will take bookings, answer basic questions, directions, questions about the doctors and then basically how they're capability of checking in to as well.
• 50:29
  Speaker 3: And so both those aspects we're in right now are like level one, but we're about to build out to a point on their side where it can be automated billing yeah once they get a taste of it.
• 50:42
  Speaker 1: It's going a wrap.
• 50:42
  Speaker 1: Oh yeah, they have no clue.
• 50:44
  Speaker 1: Yeah, barlow barlow's like all right.
• 50:47
  Speaker 1: So what else is going on over there?
• 50:48
  Speaker 1: A word, all right, let me take that all right.
• 50:49
  Speaker 1: What else is going on?
• 50:50
  Speaker 3: and I get it all this is new for most of everybody, so I you know I move with their pace yeah you know and everything.
• 50:56
  Speaker 3: But I'm definitely like the joker in the background because I know the big plan.
• 51:00
  Speaker 3: That's what's up.
• 51:05
  Speaker 1: He's Ledger Joker too.
• 51:06
  Speaker 1: My guy said I already got the plan, that's what's up, that's what's up and big shout-outs to those opportunities that you have.
• 51:12
  Speaker 1: And now I see why you want that voice feature and open AI to come through so it can make that phone situation even better.
• 51:18
  Speaker 1: Bro, Come on man.
• 51:19
  Speaker 1: My guy's like I'm ready for it.
• 51:23
  Speaker 1: I'm ready.
• 51:23
  Speaker 1: That's what's up, man, that's what's up, and you also do public speaking in workshops, so tell us a little bit about that in terms of that part of your journey.
• 51:32
  Speaker 3: Yeah man, my first workshop I did was last year, last May.
• 51:39
  Speaker 3: The city of New York a friend of mine has had won a government contract with the city of New York on a workforce development program and so basically the city of New York wants to start teaching skills of tomorrow, so things like solar panels, things like clean energy, clean water, everything.
• 51:57
  Speaker 3: One of those segments was AI and so yeah.
• 52:01
  Speaker 3: So she invited me to the workshop and this is like my first one, but I've been building it's just things like that already, and as soon as I stepped in front of that class I was like oh yeah oh yeah, you knew it so since then, like I said, I've done 60 plus engagements since last May.
• 52:19
  Speaker 3: So from different workshops, so mostly teaching entrepreneurs, organizations, non nonprofits, governments of how to integrate it and what it is into as well, and so you know I've been doing that and stuff for quite some time.
• 52:31
  Speaker 3: Just got back from DC, I spoke at the National Black MBA conference.
• 52:38
  Speaker 1: Oh, that's what's up.
• 52:39
  Speaker 3: Congratulations so yeah, that was dope.
• 52:41
  Speaker 3: Yeah, and then next week I'm headed somewhere, I'm speaking somewhere.
• 52:47
  Speaker 1: Okay, my guy, that's when you know the schedule's good.
• 52:49
  Speaker 1: Like where you going, marlon, yo can I put Nah, I don't even know where.
• 52:52
  Speaker 1: I'm going, you're going to have to hit me up later.
• 52:54
  Speaker 3: Talk to my.
• 52:55
  Speaker 3: I'm speaking somewhere in a week.
• 52:58
  Speaker 3: Out there we're both speaking at Black Men in Tech facts facts.
• 53:01
  Speaker 1: Big shout out to Cam and Black Men in Tech.
• 53:03
  Speaker 3: Shout out to everything that's coming up, yeah, yeah so yeah, I got that coming up.
• 53:06
  Speaker 3: I'll be speaking.
• 53:07
  Speaker 3: I'm speaking at the Georgia Georgia Department of Education conference in November.
• 53:12
  Speaker 3: I'll be in Albuquerque, new Mexico, in November sometime too, and I'm heading back to DC, I believe, in December, um, to as well.
• 53:22
  Speaker 3: And so again, man, my goal is to decrease fury, increase creativity.
• 53:26
  Speaker 3: Facts when the creativity is increased, you work.
• 53:29
  Speaker 3: You already talked to me say hey, can we book this?
• 53:31
  Speaker 2: of course can we deal with this, of course.
• 53:32
  Speaker 1: Yeah, yeah, yeah, yeah, for sure, my guy man and let me tell you, um, I've been following your journey since I first met you.
• 53:38
  Speaker 1: Um, I met, uh, marlon, uh down at um, it was a Tech Tuesday event that I've been following your journey since I first met you.
• 53:42
  Speaker 1: I met Marlon down at.
• 53:43
  Speaker 1: It was a Tech Tuesday event that I've met you at and I was like yo, first of all, how did I not know about you?
• 53:50
  Speaker 1: That's number one.
• 53:50
  Speaker 1: And number two is like where do I follow and follow along?
• 53:54
  Speaker 1: So I subscribe to all your socials and I've been following along and watching your journey.
• 53:58
  Speaker 1: And then we've obviously had some conversations, as you're know, constantly iterating and moving forward, and I want to tell you, man, it's like a breath of fresh air seeing and watching you move, because we have a situation with ai that I don't know how many times I have to scream it out as a public service announcement, especially for our community, that we have to follow along and get involved and and we need to follow the right people, not just people that are there for the hype or there for the grand follow, but someone that's running workshops, coming out the gate saying, hey, I want to help reduce fears that you have with this so that you can be creative and have that space.
• 54:34
  Speaker 1: So I mean, if y'all not following him, I'm totally encouraging y'all to follow him.
• 54:39
  Speaker 1: It's going to be on our site, it's going to be in the show notes, because I'm just I can't wait to see where five, 10 years from now, for where you be at.
• 54:47
  Speaker 3: I give you an example of how big this thing is.
• 54:49
  Speaker 3: In 1999, China joined the WTO, which is a world trade organization, and they've been trying to join for quite some time.
• 54:56
  Speaker 3: They've been trying to join for quite some time, and so during that time period when they joined, they said hey, you know we're here and what we'll do is we will take over manufacturing, we'll make it cheaper, better, more efficient and, in time too.
• 55:17
  Speaker 3: A lot of people don't remember that they bankrupt a lot of countries because they took a lot of those you know jobs and things you know from them.
• 55:20
  Speaker 3: At that time, I think China's GDP was like at like $1 billion or something like that, and so now it's like at $20 billion Off that one decision.
• 55:25
  Speaker 2: Yeah.
• 55:26
  Speaker 3: Off that one decision and they have scale.
• 55:28
  Speaker 3: You know since then, ai is bigger than that Facts, because trying to make one decision that scale manufacturing artificial intelligence can scale everything.
• 55:41
  Speaker 1: Everything scale manufacturing.
• 55:41
  Speaker 3: Artificial intelligence could scale everything.
• 55:42
  Speaker 3: Everything you know from ideas and everything from your newspapers, from your music, you know, from your ea sports just announced they're about to allow people to start building their own video games.
• 55:51
  Speaker 3: Everything you know, using ai too, as well and they're building the platform.
• 55:56
  Speaker 1: You run it right on top of the platform.
• 55:57
  Speaker 3: Brilliant, brilliant, brilliant brilliant, everything I mean even in the video game aspect too, as everything I mean even in the video game aspect too as well.
• 56:03
  Speaker 3: I mean, even with the aiau act, you know them announcing their policies, and the one category they didn't touch on it was like, hey do, what you really want to do was gaming.
• 56:12
  Speaker 3: Wow, you know, and stuff.
• 56:13
  Speaker 3: And so, like you know, being able to embed llm into a particular character on call of duty, on 2k, whatever it may be, and literally just the experience of that journey can be different per person.
• 56:26
  Speaker 3: You know what I mean.
• 56:26
  Speaker 3: Or you know if they have an LLM and stuff attached to it.
• 56:29
  Speaker 2: It's like creating your player right.
• 56:31
  Speaker 1: Yep, or even creating scenes and creating battles or creating adventures, or hey, we gotta go all the way over there and while you're walking, there is creating the scenery, as you're doing it like, and it takes you yes, you're exactly right, creating new scenes or anything, and it takes you all to like a similar journey and everything.
• 56:46
  Speaker 3: Now, what happens there?
• 56:47
  Speaker 3: When I've had experience, when you have experience, and when you have experience, what does that do?
• 56:51
  Speaker 3: That builds community, because now we want to talk.
• 56:54
  Speaker 3: Yeah, oh, when I went there.
• 56:56
  Speaker 1: I just did this.
• 56:56
  Speaker 1: That happened.
• 56:57
  Speaker 1: Hold on, you didn't have yeah let me start this game over.
• 56:59
  Speaker 2: Yeah like what you do yeah, everything.
• 57:01
  Speaker 3: And now I'm gonna go through a whole different experience or anything.
• 57:04
  Speaker 3: And now what's gonna happen is you're gonna start to see our favorite games from you.
• 57:09
  Speaker 3: You know your spider man's to your 2ks, whatever.
• 57:11
  Speaker 3: You're gonna start to see people something that typically is not done a lot and, if at all, you're gonna start people start to see people replay the whole game.
• 57:22
  Speaker 2: Yeah, they get a different experience Every time.
• 57:24
  Speaker 2: They get a different experience.
• 57:28
  Speaker 3: And now you're buying everything I would imagine and stuff, and man, I promise Somebody ought to take my ideas.
• 57:34
  Speaker 1: You said it first.
• 57:35
  Speaker 1: Here, though, we got the recording, we got timestamps and everything.
• 57:42
  Speaker 3: With that type of capability, what's going to happen is your favorite games and new games and things like that.
• 57:45
  Speaker 3: It's going to create a whole different, because right now the gaming industry is kind of locked down.
• 57:49
  Speaker 3: It's going to create a whole different.
• 57:51
  Speaker 3: You know, is the gaming industry is going to happen the same thing with the music industry happening.
• 57:54
  Speaker 3: At one point you can only go through the record labels yeah, yeah and now you're going to start to have independent.
• 57:59
  Speaker 3: You got independent artists, and one of my favorite artists is toby.
• 58:01
  Speaker 3: Yeah, yeah, what's going to happen is the fact that you have a different experience every time you play the game.
• 58:26
  Speaker 3: The revenue model of those games would change to a monthly subscription.
• 58:32
  Speaker 2: So it won't be just $80, $60 for your one game or anything.
• 58:36
  Speaker 3: It'll be $45 a month.
• 58:38
  Speaker 2: Yeah.
• 58:38
  Speaker 3: Because now you get to replay the game Exactly.
• 58:41
  Speaker 3: Now you get to replay the game exactly and then you'll figure out some type of way, especially talking about, like I think we we talked about the creator economy, um, we talked about the creative economy and things like that and we started to see, and then you know, it got introduced through.
• 58:57
  Speaker 3: You know, things like uber and doordash, just like that and now we're starting to see these things with podcasts and we're starting to see streamers and things like that.
• 59:05
  Speaker 3: The combination of things like voice cloning, the combination of being able to build LLM and everything through structured conversations and having conversations, dialogue, transcriptions.
• 59:20
  Speaker 3: And right now, man, if I'm a, a Kaisen at a T-Pain, you know one of the streamers and stuff who's at a large place.
• 59:32
  Speaker 3: I'm either partnering or I'm building a company that allows creators to digitize themselves via blockchain.
• 59:48
  Speaker 3: What do you do with that?
• 59:49
  Speaker 3: Now you license your character to all platforms facts that that, that, that that connection to each other oh, oh.
• 1:00:00
  Speaker 3: And then you, you, you can have your own insertion, you can do your own voice cloning, you can own all these.
• 1:00:06
  Speaker 3: You know these aspects and stuff of it, you know.
• 1:00:08
  Speaker 3: And then you start to license it and everything.
• 1:00:11
  Speaker 3: Now you know we're going to get back to the world, like.
• 1:00:13
  Speaker 3: You know the metaverse and you know.
• 1:00:15
  Speaker 3: Then you start to do a partnership with the independent gamer that's coming up, and now you're a Kaizen adanai, you know, and t-pain, where it may be, is the main character.
• 1:00:26
  Speaker 3: You know stuff of it.
• 1:00:27
  Speaker 1: And then that same component, just like streaming, just like streaming with an independent artist your character starts to live in all the different worlds and it starts to go from there yo you, you need to go write this down, player, because I mean, this is, this is very, very, very interesting because I think you're taking two technologies, merging them together and solving.
• 1:00:46
  Speaker 1: A big problem with our community is that we don't get credit for a lot of stuff we create.
• 1:00:50
  Speaker 1: We don't even know that somebody else is using it.
• 1:00:54
  Speaker 3: All of them dancers were.
• 1:00:56
  Speaker 3: Fortnite and everything you know, took your dance and everything.
• 1:00:59
  Speaker 1: All of them and you see the game doing it and you know this young little lady was over there.
• 1:01:04
  Speaker 1: She was the first one.
• 1:01:05
  Speaker 1: Imagine that was written in the blockchain.
• 1:01:06
  Speaker 1: Imagine if every time that plays, every time, it gives that credit to that individual that first created and wrote that in the blockchain Going back to what I said earlier is coaches and countries are going to figure out how to lose more coaches.
• 1:01:19
  Speaker 1: You see his moves.
• 1:01:20
  Speaker 1: Give him a round of applause.
• 1:01:21
  Speaker 1: He did like a little wayne thing, he.
• 1:01:24
  Speaker 1: He dropped something earlier and he made it all the way back around.
• 1:01:28
  Speaker 1: Yo, that's fire, though, um, because I, I I've always been waiting for that time that, first of all, people would understand the value around what blockchain as a technology provided us.
• 1:01:41
  Speaker 1: And now you're talking about how creativity in the air with ai will be endless, but how can those people that are the original creator still get credit for their content and and a royalty system that pays out generations?
• 1:01:55
  Speaker 1: Oh, my gosh player, you, you, uh, when, whenever you're putting that team together, holla at your boy.
• 1:02:00
  Speaker 1: Yeah, the d hustle said I run all the operations.
• 1:02:03
  Speaker 1: We got you.
• 1:02:04
  Speaker 1: I got you on the system side, infrastructure.
• 1:02:07
  Speaker 1: Let's make it happen, because I really do feel like this type of thinking is where we really need to be.
• 1:02:13
  Speaker 1: We need to be thinking and you were talking about tier one, tier level of application development.
• 1:02:19
  Speaker 1: This is like that high-level thinking that I'm so grateful that you gave us the space so we could hear things like this, but also looking forward to more spaces like that, because we need to take that to the next higher level, not just, hey, how do we connect these apps and make a few dollars now?
• 1:02:34
  Speaker 1: No, I'm trying to figure out a way to make this generational, global, impactful.
• 1:02:39
  Speaker 1: Um, and everybody remembers, uh, who the original creator is man Woo D-House.
• 1:02:45
  Speaker 1: I told you it was going to be a great guest.
• 1:02:49
  Speaker 3: D-House was like you said.
• 1:02:50
  Speaker 3: You had some questions, so you said one word he's in awe right now You're giving me a lot.
• 1:02:57
  Speaker 1: Right now he's in awe.
• 1:02:58
  Speaker 1: This is funny because I might have some questions when the second is over.
• 1:03:01
  Speaker 1: He's in awe.
• 1:03:02
  Speaker 1: Come back because I might have some questions when the second is over.
• 1:03:08
  Speaker 1: He's in all, though.
• 1:03:08
  Speaker 1: Another cool thing is is we had a guest on our show big shout out the hip-hop gamer.
• 1:03:10
  Speaker 1: Hip-hop gamer in new york from east new york, my guy, um, he's one of those rocks, one of those big old chains like you know oh my gosh, this is my dude, but his uh impact to our community is is around gaming and understanding the value that gaming is a way for us to uh teach, develop, but also, uh, there's just people that are interested in.
• 1:03:28
  Speaker 1: You don't have to be, you know, the one on the block, on the corner type stuff.
• 1:03:32
  Speaker 1: You can still be yourself and enjoy gaming.
• 1:03:34
  Speaker 1: And one of the things that he was talking about is, uh, and I say one, one or two levels lower than where you were just talking about, because it's Because it just closed that gap in terms of, hey, innovative-wise, if you have the right medium, all you need is the right prompt to define what game, what type of adventures, what type of actions, what type of things need to be happening, and then eventually getting that developed into an application.
• 1:03:58
  Speaker 1: It just goes.
• 1:03:59
  Speaker 3: Oh man.
• 1:04:01
  Speaker 1: I can't wait until these two episodes come out together.
• 1:04:07
  Speaker 3: We're definitely on the way there.
• 1:04:08
  Speaker 3: I mean, we're already.
• 1:04:08
  Speaker 3: We're already we're at a beautiful place of prompted text.
• 1:04:10
  Speaker 3: You know, uh, prompted images is getting better every single day.
• 1:04:11
  Speaker 3: You know we're about to, um, see, you know, prompted video and stuff ending very soon, and I think the next element of that is going to be prompted gaming.
• 1:04:19
  Speaker 3: Yeah, um, and so we're going to see so many different you know, variations and stuff over there.
• 1:04:23
  Speaker 3: You're going to see.
• 1:04:23
  Speaker 3: You know, prompt to.
• 1:04:25
  Speaker 3: You know, website prompt application.
• 1:04:27
  Speaker 3: You know we're already starting to see that too as well, and so, um, it's going to be a game changer that's what's up.
• 1:04:33
  Speaker 1: That's what's up.
• 1:04:33
  Speaker 1: Well, I think, what time are we at?
• 1:04:36
  Speaker 1: We got at least a little bit more, because I got one more question for you.
• 1:04:38
  Speaker 1: Um, there's something, a technology that we've been talking about lot and I want to give you a chance to kind of give some clarity, especially for the audience that are learning and develop is around vector databases.
• 1:04:48
  Speaker 1: Tell us a little bit about it and tell us you know, like, what's the importance around it, and we'll give you a chance to close out.
• 1:04:54
  Speaker 3: Yeah for sure.
• 1:04:54
  Speaker 3: Vector databases essentially is a technology where you allow a database to be stored and everything in certain documents, and so information of text and so on and so on.
• 1:05:07
  Speaker 3: And so it's extremely important and stuff now, just because the way the embedding process works and the way the AI needs to receive and read and understand a large amount of text and everything is via vector databases.
• 1:05:20
  Speaker 3: And so, going back to what we talked about with the AI therapist is you will be able to talk for hours.
• 1:05:27
  Speaker 3: You know be able to talk for hours and think about what's going on in your life, your emotions, what happened in your childhood.
• 1:05:33
  Speaker 3: You know things like that.
• 1:05:34
  Speaker 3: And so your human therapist typically, you know, takes notes and they have voice recorders and things like that.
• 1:05:39
  Speaker 3: But you know being able to build an AI therapist with a vector database.
• 1:05:43
  Speaker 3: You know being able to build an AI therapist on top of the vector database.
• 1:05:45
  Speaker 3: You know you will be able.
• 1:05:46
  Speaker 3: The AI therapist will be able to immediately understand that what you're going through right now is an indication of something that happened to you when you were seven years old, and you know, and therapists can do that.
• 1:06:00
  Speaker 3: You know stuff.
• 1:06:00
  Speaker 3: Now.
• 1:06:01
  Speaker 3: It may take them some time, or they might have to go back to their notes and stuff, maybe or, you know, just off memory, but you know, storing this information in a vector database and being able to then, you know, connect that you know, to additional other platforms.
• 1:06:16
  Speaker 3: That things and stuff that you, you know, care about, you know will be, just like it's going to be, life changing.
• 1:06:22
  Speaker 2: Yeah.
• 1:06:22
  Speaker 3: You know, so I will go even deeper and everything.
• 1:06:29
  Speaker 1: And.
• 1:06:29
  Speaker 1: I kind of I'm going to say I got in trouble, you got in trouble.
• 1:06:32
  Speaker 1: The jury's not out yet.
• 1:06:34
  Speaker 3: Yeah, I, I challenged it, that's okay.
• 1:06:37
  Speaker 3: I did a keynote talk at Morehouse.
• 1:06:40
  Speaker 3: Was that this year?
• 1:06:42
  Speaker 3: Yeah, I think it was this year, early this year, and I challenge HBCUs and there are some people who are starting to work Around this right now as well, with things like Databases and Also to lean toward the open source side.
• 1:06:57
  Speaker 3: We're at a place right now where it allows the black community to Never have their history.
• 1:07:04
  Speaker 3: Rewritten gem yes, 100,000, and so you know I, I would love a world where all hbcus partner and they start to store books, curriculum, you know notes, all these things everything into one large.
• 1:07:22
  Speaker 3: You know, uh, you know database lm, like where it may be, and from there.
• 1:07:27
  Speaker 3: What you do with that is then you give people access to history you give people access to identity.
• 1:07:38
  Speaker 3: Give people access to culture oh, there he goes and being able to learn you know and stuff with that, and so being able to synthesize, not only to your phd student but to your five-year-old daughter, as she's trying to learn and build her own identity yeah herself and everything from there.
• 1:07:57
  Speaker 3: From there, when you build the foundation of that, the next step of that as well is to allow the consumer to get access to it, to store their information on it.
• 1:08:11
  Speaker 3: Their information is letters they got from grandma, the letters they got from their dad in prison.
• 1:08:19
  Speaker 3: You know the grandma's recipes, the facts.
• 1:08:24
  Speaker 1: Oh my gosh, that's a great one, you know you know how many recipes.
• 1:08:27
  Speaker 2: I don't think you want to give it a recipe but again, but it's a private.
• 1:08:32
  Speaker 3: Yeah, you know, you make sure it's private, but you want it to pass it down too.
• 1:08:35
  Speaker 3: You make sure you give it to pass it down, um, and you do it and everything, and you give the family access to it.
• 1:08:41
  Speaker 3: You know, and so you know, think about, we've, all you know, seen the movie um like ancestry no, we've all seen the movie.
• 1:08:51
  Speaker 3: Um, I'm going blank.
• 1:08:53
  Speaker 3: Uh, the grandma that passed away in the movie, uh, cousin faith, is that like a tire player one, or uh, it was an old.
• 1:09:01
  Speaker 3: Uh, drew hill was on the soundtrack, something that's old school.
• 1:09:06
  Speaker 3: Oh man, that's going to bother me.
• 1:09:09
  Speaker 1: We'll drop it in the description.
• 1:09:10
  Speaker 3: Yeah, yeah, so we've seen that movie and everything.
• 1:09:15
  Speaker 3: But it's like when Grandma passed, the whole family fell apart.
• 1:09:17
  Speaker 3: Cousin starts fighting, now the sisters don't like each other and things like that, and so Ahmaud.
• 1:09:24
  Speaker 3: That's funny.
• 1:09:25
  Speaker 3: I remember all the characters.
• 1:09:26
  Speaker 3: Amad was one of the characters and he basically was one of the young kids trying to get the family back together.
• 1:09:32
  Speaker 3: You'll never be able to replace grandma.
• 1:09:40
  Speaker 3: You'll never be able to replace grandpa.
• 1:09:42
  Speaker 3: You'll never be able to replace the people who passed, but you'll be able to place.
• 1:09:44
  Speaker 3: You know, grandpa, you never replace the people who pass, but you'll still be able to have a synthetic tie.
• 1:09:52
  Speaker 3: You know to them that you can pass down yeah and right now, the only way we're doing that is through photo books yeah, yeah you know through, you know recipes, but be able to have, you know, an everyday experience, you know, connected with you, of you.
• 1:10:12
  Speaker 3: Just you just had a big life thing and it's like you know what you know.
• 1:10:18
  Speaker 3: Hey, I'm dealing with this back, going back to be connected to your therapist.
• 1:10:21
  Speaker 3: Go deal with this and everything.
• 1:10:23
  Speaker 3: I really, really want to know what will grandma do during this?
• 1:10:26
  Speaker 3: Time oh yeah, you know what's some advice you would give me yeah, almost christmas no, um, who, oh man, almost christmas is?
• 1:10:38
  Speaker 3: it was based.
• 1:10:38
  Speaker 3: Almost christmas was one of those movies that built in time, but it was a while ago.
• 1:10:42
  Speaker 3: Um, look at, just search cousin faith, google cousin faith and put movie and it's going to pop right back up um, but that that's powerful in terms of um that type of access that I think yeah, that's the name.
• 1:10:58
  Speaker 1: I think I said it earlier you did yeah soulful yeah, that's the name of the movie yeah, uh, but what I was getting to is is like um, there's something that goes on in our culture is we lose history so easy?
• 1:11:08
  Speaker 1: Yeah, and what you're telling me right now is vector databases being one of those sources that we can store history as such, and then providing an interface that allows an LLM to reside on top of it, but it's using that as a source, and then I'm able to get advice from that source data that I store there, yeah, bro, and you connect that with a focus agent, which is an AI therapist that can embed you can embed your family data from a vector database, you can have the mindfulness of a coach, of a Kobe Bryant, along with that, too, as well.
• 1:11:56
  Speaker 3: While you're also, you know, trying to learn how to build architecture and you're learning this from the history of Frank Lloyd Wright it will be able to help you walk through things we've never seen before Our grandkids.
• 1:12:17
  Speaker 3: They're going to be looking at us like you did a podcast.
• 1:12:21
  Speaker 3: That was it.
• 1:12:22
  Speaker 1: I built 16 companies Back in my day we didn't have all that that's not a lie, though that's not a lie, man.
• 1:12:33
  Speaker 1: That's not a lie.
• 1:12:34
  Speaker 1: Oh man, yo.
• 1:12:35
  Speaker 1: I feel like we got some great business ideas that are coming up and let me tell you, if anything comes out of the tech hustle, you definitely come and come and get a check.
• 1:12:42
  Speaker 1: All right, I'm definitely doing the gary v.
• 1:12:44
  Speaker 3: I'm clipping this and everything.
• 1:12:46
  Speaker 3: It's what I did that a couple weeks ago did you.
• 1:12:48
  Speaker 3: I did that um.
• 1:12:50
  Speaker 3: Mark zuckerberg has said something word for word and I put I said I said this like 10 months ago yeah yeah, yeah, and I definitely clipped it and put it on there.
• 1:12:59
  Speaker 1: I was like clip it all player, because this is how we record time now, right, um, but uh, one one thing I'm gonna mention to my audience is that you are actually helping me solve um, a personal legend of mine.
• 1:13:11
  Speaker 1: So one of my goals in terms of uh in life is to define things and goals that I want to achieve.
• 1:13:17
  Speaker 1: Some of those earlier personal legends that I have is travel the world, um is to uh, be a great father and, you know, develop a great family.
• 1:13:25
  Speaker 1: To working at a very high level in tech, as high as I can go.
• 1:13:29
  Speaker 1: And my newest personal legend, which I think in terms of long term, is teaching the next generation how to store time.
• 1:13:36
  Speaker 1: Teaching the next generation how to store time.
• 1:13:39
  Speaker 1: What did you just give me?
• 1:13:40
  Speaker 1: How to store time, how to store our time from our ancestors, those that are here now, the ones that are in the past, from letters, from writings, from video recording, audio recording, how to store that so it can never be lost.
• 1:13:55
  Speaker 1: And, um, I'm telling you uh, when, when you see those uh patents come across and all those business ideas come across, for sure, I want you to make sure you come and collect a check.
• 1:14:10
  Speaker 3: I give you one here going out.
• 1:14:15
  Speaker 1: Bro, this is a safe space.
• 1:14:16
  Speaker 1: Haven't you figured that out yet?
• 1:14:20
  Speaker 3: I don't know what to call it, but I've I enjoy, I understand consumer behavior and I can see how things happen over here and how it's going to translate over here Stay tuned of an agent and how it's going to, how people are going to want to connect different licensed, unlicensed agents or anything to their own therapist coach what it may be a good indicator of how to figure out where and how people are thinking about it already without them knowing youtube and tiktok pages?
• 1:15:12
  Speaker 2: what are people subscribing to motivational videos?
• 1:15:14
  Speaker 3: they want to watch their favorite creator talk about, you know, makeup yeah they want to watch, you know kobe bryant videos.
• 1:15:21
  Speaker 3: You know they want to watch you Bryant videos.
• 1:15:23
  Speaker 3: They want to watch all the different aspects, business things like that.
• 1:15:27
  Speaker 3: That whole process of what people are going to do right now is going to be the same thing, and they're going to have an agent that's going to communicate to them on a daily basis of what these things are happening.
• 1:15:38
  Speaker 2: Yeah, in their own way yeah.
• 1:15:41
  Speaker 3: In the way they want it and everything It'd be somebody's AirPods, everything it'd be somebody's AirPods.
• 1:15:44
  Speaker 3: It'd be somebody's newsletter it'd be, you know, especially too with you know IOT stuff enlarging.
• 1:15:51
  Speaker 3: You know you're going to have it on TV in a refrigerator and it'd all be an agent that's going to just consistently, you know, filter in all this information, and that process is already starting to happen.
• 1:16:02
  Speaker 3: You know, particularly too, I mean, tiktok's algorithm has changed everything and so their process already started to happen.
• 1:16:08
  Speaker 3: And so what I do now?
• 1:16:10
  Speaker 3: I I kind of caught myself and I was like, oh, I was watching, and like one day I was in like a kobe bryant rabbit hole and I was just like go, I'm a big leggers fan yeah, I was kind of going down the jeans.
• 1:16:21
  Speaker 3: I was like huh.
• 1:16:22
  Speaker 3: I started looking at other pages.
• 1:16:24
  Speaker 3: I'm like, oh yeah, I think this is headed.
• 1:16:28
  Speaker 3: So my mind kind of put it all together.
• 1:16:31
  Speaker 1: Yeah, yeah, that's what's up.
• 1:16:32
  Speaker 1: I gotta get you to holler at Raymond don't call him Ray Ray and I know that D also has Always for Lakers fans.
• 1:16:37
  Speaker 1: Some questions about LeBron and Brownie Jr.
• 1:16:40
  Speaker 3: That's another segment, that's another segment.
• 1:16:42
  Speaker 1: You mean brownie, brownie, brownie.
• 1:16:46
  Speaker 1: Well, you know he's lebron jr, so, but anyways, um.
• 1:16:49
  Speaker 1: So you know he legally changed his name, did he?
• 1:16:51
  Speaker 1: yeah, it's a brownie, okay that's why he's not gonna put jr on the back, but um, so we're at the tail end of our conversation and I want to give you a chance to just give our audience some last words, um, before we cut it out.
• 1:17:01
  Speaker 1: But uh, first of all I want to say thank you so much for the time.
• 1:17:04
  Speaker 1: Um, and yeah, man, this is going to be one of my favorite episodes, especially about a topic around ai.
• 1:17:09
  Speaker 1: Y'all been following the show, so you already know.
• 1:17:11
  Speaker 1: But, marlon, let me give you a chance to close this out with any last words yeah, man, we, you know, history has done a beautiful job of, you know, repeating itself.
• 1:17:23
  Speaker 3: Typically us, as human beings, we're skeptical to new inventions, new technologies, other things like that.
• 1:17:32
  Speaker 3: You know, believe it or not, when the bicycle was created, we were skeptical, you know there were communities that didn't want it because it was impacting newspapers.
• 1:17:45
  Speaker 3: People sold newspapers because while you're on the bike you can't read, you know.
• 1:17:50
  Speaker 3: Or when you get home, you know, you're too tired to read your newspaper.
• 1:17:53
  Speaker 3: So people stopped the newspaper.
• 1:17:55
  Speaker 3: You know sales started to grow down.
• 1:17:57
  Speaker 3: Same thing too, with the elevator.
• 1:17:59
  Speaker 3: You know the elevator, you know people didn't want it because it gave Bob on the street access to the seventh floor quicker than typically, you know, if they didn't live in that building and stuff as well.
• 1:18:10
  Speaker 3: And then also too, doctors didn't understand the aspect of elevation and so the rise of the elevator.
• 1:18:18
  Speaker 3: You know they thought when people were getting headaches, kind of get motion sickness, they thought it was going to be terminal, you know.
• 1:18:23
  Speaker 3: And so just we've repeated this whole thing.
• 1:18:23
  Speaker 3: They thought, when people were getting headaches, getting motion sickness, they thought it was going to be terminal.
• 1:18:24
  Speaker 3: And so just, we've repeated this whole thing as human beings.
• 1:18:28
  Speaker 3: And then later, down years down the road, you realize, okay, that's fine, this thing of artificial intelligence, as of today, this is the dumbest it ever would be.
• 1:18:44
  Speaker 3: Right now, you know, five seconds later, it's gotten smarter, and not only just on the generative AI side, but, you know, on the self-driving aspect, the autonomous vehicle side, you know, on a robotic side, and on the gen AI side specifically, this is the first large technology where your everyday individual have the ability to build with it.
• 1:19:15
  Speaker 3: You know we didn't have that opportunity with the internet.
• 1:19:18
  Speaker 3: You know you didn't have that opportunity with cell phones, smart apps, all the things like that.
• 1:19:23
  Speaker 3: And so this is going to be life-changing, not only for individuals but for the people coming behind us.
• 1:19:34
  Speaker 3: My concern with this is spending too much time being headline readers and not practitioners and unfortunately and it's not even, you know, your fault and our fault because I'm starting to see a lot of headline readers getting paid as speakers and they're just reading the headlines and just kind of you know reverberating and stuff like what they read, yeah, and it's doing a disservice, and stuff like what they read, yeah, and it's doing a disservice.
• 1:20:09
  Speaker 3: And so my ask is to just start, you know, just start, you know, start to figure it out, start to just start with just asking the questions, start with prompting.
• 1:20:20
  Speaker 3: You know we all have these ideas of like man, we wish this product, service and stuff was in the market.
• 1:20:26
  Speaker 3: You know, start asking questions and everything, how you can build it, how you can go about it.
• 1:20:30
  Speaker 3: And you know you would definitely find yourself down a rabbit hole and not on a journey, but you know even more so you may find yourself at a profitable state where you can build, sell, acquire.
• 1:20:44
  Speaker 3: You know whatever it may be, and so you know I I asked you to.
• 1:20:49
  Speaker 3: You know, start be a practitioner.
• 1:20:52
  Speaker 3: You know, in a space, you know what you learn, go teach one other person.
• 1:20:57
  Speaker 3: You know, and then what you build, go sell to one other person and you know and stuff from there.
• 1:21:03
  Speaker 3: So if I can be an assistance, you know, in any way, I am Marlon Averitt on all platforms, you know.
• 1:21:10
  Speaker 3: So feel free to DM me.
• 1:21:12
  Speaker 3: Instagram and LinkedIn is probably the best place and everything to reach out to me.
• 1:21:16
  Speaker 3: And yeah, man, I'm pretty sure you guys have me.
• 1:21:18
  Speaker 1: Ooh, give him a round of applause.
• 1:21:19
  Speaker 1: Turn that all the way up.
• 1:21:20
  Speaker 1: Oh my gosh, thank you of applause.
• 1:21:27
  Speaker 1: Turn that all the way up.
• 1:21:27
  Speaker 1: Oh my gosh, thank you so much.
• 1:21:28
  Speaker 1: Let's queue up that music de-hustle.
• 1:21:29
  Speaker 1: Let's close this out.
• 1:21:29
  Speaker 1: Let me tell y'all audience.
• 1:21:30
  Speaker 1: Let me tell you, first of all I've mentioned this many times on my show there's a rewind button that you press it and it goes back.
• 1:21:37
  Speaker 1: We marked everything.
• 1:21:39
  Speaker 1: Everything is going to be on there.
• 1:21:41
  Speaker 1: We're going to even use ai to give us markers in terms of timestamps.
• 1:21:45
  Speaker 1: I want you to go back and listen to this brother, because… I'm going to go back and listen to this D-Hustle is also going to go back right, and the thing is that I don't bring people around that I don't respect and don't look up to and also just follow along in their stories, and he is one of those that I put at a really high level, especially when we're talking about ai, because it's different, it's something that I know my community if we don't catch it, we're going to miss this wave and we're going to be left way behind.
• 1:22:10
  Speaker 1: There is these ideas that we talked about, the businesses that we're going to be coming up with.
• 1:22:15
  Speaker 1: Keep an eye out for them, keep following along.
• 1:22:17
  Speaker 1: Follow my guy, follow the tech hustle.
• 1:22:19
  Speaker 1: You got a new podcast.
• 1:22:20
  Speaker 1: What's the name?
• 1:22:20
  Speaker 1: Again?
• 1:22:21
  Speaker 1: ai with friends ai with friends tune in because, yeah, you know, I'm pulling up, I'm pulling up.
• 1:22:26
  Speaker 1: I gotta make a trip to the east.
• 1:22:28
  Speaker 1: I've been to the other side, the west coast, I'm ready to go player but in general, just know that I don't bring people on here unless they have something to give, and he's given a lot.
• 1:22:36
  Speaker 1: So I want y'all to get your carp ready.
• 1:22:38
  Speaker 1: He's going to be pouring and definitely follow along.
• 1:22:40
  Speaker 1: Other than that, you know how we do it here backstage Dehustle Any last words.
• 1:22:44
  Speaker 1: Player.
• 1:22:44
  Speaker 1: My God, my God, thank you all so much for tuning in it's Backstage with Bobby D Holla at me.