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Speaker 1: Hi, I am Rashaun McDonald, our host this weekly Money

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Speaker 1: Making Conversation Masterclass show. The interviews and information that this

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Speaker 1: show provides off for everyone. It's time to start reading

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Speaker 1: other people's success stories and start living your own. If

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Speaker 1: you want to be a guest on my show, please

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Speaker 1: visit our website, Moneymakingconversations dot com and click to be

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Speaker 1: a guest button to submit your information. My guest is

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Speaker 1: the co founder and CEO of Bitmind, the world's first

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Speaker 1: decentralized artificial intelligence AI. As they say, deep fake detection system.

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Speaker 1: Me again, deep fake detection system. He's an authority on

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Speaker 1: how people can protect themselves using free solutions that they create.

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Speaker 1: Please welcome to Money Making Conversation Masterclass. Ken John Biachi

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Speaker 1: Hei you doing.

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Speaker 2: Sir, doing well? Thanks for having me.

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Speaker 1: First of all, deep fake AI? I say about the

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Speaker 1: last five years, you know, I've been hearing a lot

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Speaker 1: of it. I'm a writer, Hollywood writer, so a major

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Speaker 1: poor that strike was about AI and a major portion

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Speaker 1: of conversation is in the acting game is AI? What

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Speaker 1: is your take on all that? Before we get to

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Speaker 1: your company, because I'm sure that inspired you to do

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Speaker 1: all this software creation to be able to detect AI

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Speaker 1: and deep fake.

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Speaker 2: Yeah, one hundred percent.

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Speaker 3: So I think as many people have experienced over the past,

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Speaker 3: you know, two to three years, Jenner of AI has

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Speaker 3: really taken off, right. It started with chat, GPT, but

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Speaker 3: then you're getting into images, video, audio, et cetera.

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Speaker 2: And we went from you know, maybe two years.

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Speaker 3: Ago will that Will Smith eating pastave video looked absolutely

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Speaker 3: terrible to now some extremely hyper realistic images, video, et cetera.

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Speaker 3: And so it's it's really affected almost every aspect of

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Speaker 3: our life, but specifically kind of the creative, the news,

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Speaker 3: just stribution fields, et cetera. And so it's very difficult

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Speaker 3: two kind of think about AI in the current constructs

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Speaker 3: that we have right now, IP protection, image and likeness,

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Speaker 3: et cetera. Where you know, now with the proliferation of

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Speaker 3: these tools, you can just hey, create you know, a voice,

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Speaker 3: an image of video of someone, use it to promote

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Speaker 3: your your your thing, or create you know, having them

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Speaker 3: do whatever and have it fit in that world. So

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Speaker 3: it's a very complicated space, but something that will definitely

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Speaker 3: need to be figured out, especially as AI gets better

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Speaker 3: and better.

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Speaker 4: Now, give me your background, are you your education level

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Speaker 4: or training to go into this lane before we get

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Speaker 4: into more detail.

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Speaker 3: Yeah, so studied computer science at University of California, San Diego.

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Speaker 3: Was really interested in you know, kind of traditionally studied,

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Speaker 3: but got really into the blockchain space. When I was

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Speaker 3: attending my undergrad I decided to start a company in

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Speaker 3: the crypto space. And then after that I worked in

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Speaker 3: more traditional AI at Amazon for a couple of years,

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Speaker 3: like think about like recommendation systems for buying products. And

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Speaker 3: then after my time there, I worked at a layer

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Speaker 3: one blockchain called Near, and the founder of Near was

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Speaker 3: actually the original author on the paper Attention is All

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Speaker 3: You Need, which is the kind of fundamental building blocks

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Speaker 3: of these lms it's called the Transformer. Was exposed to

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Speaker 3: a lot of this kind of intersection of AI and

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Speaker 3: crypto there, and then towards the end of twenty twenty three,

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Speaker 3: I was you know, doing a lot of research for them,

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Speaker 3: looking at new projects, and felt like this protocol that

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Speaker 3: we're building on right now, Bittenser was extremely fascinating and

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Speaker 3: interesting to start a company on. But then also that

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Speaker 3: there was some really you know, critical important problems to

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Speaker 3: tackle that that were like existential and and and kind

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Speaker 3: of made the jump to go back in the entrepreneurship game.

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Speaker 1: That ken, I hear forty hour week, I have forty

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Speaker 1: hour a week. I have forty hour a week. Now

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Speaker 1: you're an entrepreneur. Now. A lot of people when they

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Speaker 1: make that transition, there's a lot of thought process goes

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Speaker 1: into a lot of fear that goes into it. Talk

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Speaker 1: me through those steps of going from mister forty hour week,

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Speaker 1: mister guaranteed check, mister health benefits to mister independent.

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Speaker 3: Yeah, definitely, definitely an interesting jump.

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Speaker 2: So I think ever since I was young.

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Speaker 3: I was always very motivated to go into entrepreneurship, start

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Speaker 3: my own thing, have ownership, and I was I was

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Speaker 3: kind of against working at you know, a fang, a

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Speaker 3: large tech company, But after my first endeavor in the

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Speaker 3: entrepreneurship game, I was like, hey, I think maybe this

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Speaker 3: could be a good opportunity to get experience, learn from

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Speaker 3: other really amazing engineers, learn these processes, and I always

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Speaker 3: had the itch to get back in. And so for me,

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Speaker 3: it was more of like, you know, I wanted to

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Speaker 3: do it for a while, and I have one hundred

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Speaker 3: percent belief in myself, and so like I wasn't you know,

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Speaker 3: it actually wasn't too hard for me. It was more like, hey,

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Speaker 3: you know, this is an idea, an opportunity that I

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Speaker 3: have extremely high conviction in. I didn't want to start

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Speaker 3: something just to start something because I wanted to. I

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Speaker 3: was kind of like, you know, looking waiting for an idea,

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Speaker 3: and once it came about, I was I.

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Speaker 2: Was one hundred percent on in.

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Speaker 3: And then it's really about convincing kind of your loved

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Speaker 3: ones and people you're relying on, you know, my girlfriend,

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Speaker 3: my family.

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Speaker 1: Ability. They see hike, they see stability, they see dreamer,

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Speaker 1: they see stability. Go hey, brother, are you crazy?

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Speaker 2: Now?

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Speaker 1: Bit mine? Okay, See that's where I'm with in this conversation. Okay,

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Speaker 1: do you start a company called bitmine with the idea

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Speaker 1: you're going to make money? How do you do that?

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Speaker 1: How does one in your mind can because I get

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Speaker 1: the fact if you have a product, you know, because

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Speaker 1: this is really a lot of the software design, a

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Speaker 1: lot of people can't see that. You know, if you

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Speaker 1: design a car, it drives down the street. You make

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Speaker 1: some bread, you can go eat it. You know, you

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Speaker 1: open a restaurant, you can sit down and be served.

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Speaker 1: Now your company doesn't do that. How were you able

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Speaker 1: to in your mind understand the profit laws or the

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Speaker 1: p and L on this opportunity.

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Speaker 3: Yeah, great, great question. So kind of as you mentioned,

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Speaker 3: if you're in like, you know, a physical products or

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Speaker 3: hardware engineering as like as you mentioned cars, there's a

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Speaker 3: little more of an obvious p and L business model

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Speaker 3: around this type of stuff. In software, it's definitely, I

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Speaker 3: don't want to say a little more opaque, but there's

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Speaker 3: a little bit more design space and how you design

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Speaker 3: your like revenue model and your business model, et cetera.

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Speaker 3: When I looked at this, right, there was a couple

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Speaker 3: of different things. So the first one is that by

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Speaker 3: participating in this network that I mentioned Bittensor, which I

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Speaker 3: decided to build the company on, if you perform well

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Speaker 3: and you create essentially powerful AI models, powerful intelligence, then

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Speaker 3: you get emissions from the network, and so you're earning

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Speaker 3: cryptocurrency which allows you to bootstrap.

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Speaker 5: And expand your business.

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Speaker 3: But then the second piece is really what is this

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Speaker 3: business model around defake detection? So I thought that TAM

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Speaker 3: was actually pretty big there, Right, you have billions of

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Speaker 3: dollars getting pumped into generative AI, and maybe at the

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Speaker 3: time it was less than two hundred million. Kind of

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Speaker 3: that was invested into defake detection or kind of like

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Speaker 3: detection models and.

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Speaker 1: So security, right, so exactly you develop a security system.

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Speaker 3: Essentially, yes, So like cybersecurity for AI is like definitely

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Speaker 3: a good mental model to think about it. And what

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Speaker 3: I thought is because of all this money is going

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Speaker 3: into genera of AI, I felt like this was such

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Speaker 3: an existential problem for really humanity.

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Speaker 2: You know, what.

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Speaker 3: Happens when you can't differentiate between what is real and

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Speaker 3: what is not. There's already a huge deterioration of trust

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Speaker 3: in traditional media of news that is being consumed, and

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Speaker 3: what happens to just human communication when you know you

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Speaker 3: not only are being skeptical and don't know what you're

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Speaker 3: looking at whenever you're browsing the internet, but just you know,

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Speaker 3: even like you're not only questioning fake things like hey

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Speaker 3: is this fake? But like you'll see something AI generated

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Speaker 3: and you're like, is it real? It goes both ways.

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Speaker 3: And I felt like because of that essential need, there

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Speaker 3: was essentially a path to get distribution and consumption of

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Speaker 3: this good. And then there's a lot of really interesting

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Speaker 3: business models in the software space, Like you know, if

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Speaker 3: you get a lot of consumption, you could have a

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Speaker 3: freemium premium to your model. You could do what kind

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Speaker 3: of Google does incorporate ads. If you have a lot

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Speaker 3: of users in consumption, you could create a SaaS API service.

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Speaker 2: There was a lot of different avenues.

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Speaker 3: There to create a powerful and sustainable revenue and business

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Speaker 3: model around this stuff. But the first step is always consumption.

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Speaker 3: You need a lot of users. You need to make

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Speaker 3: an impactful product that people want.

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Speaker 1: Okay, now can't I'm trying to hang in it with you. Now,

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Speaker 1: Bill's got to be paid, okay, And this is money

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Speaker 1: making conversations, mastic Land. Now you say software, you say crypto.

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Speaker 1: How are you generating revenue to be able to maintain

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Speaker 1: an everyday lifestyle, keep the lights on, go out to launch,

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Speaker 1: keep gas in the car, or if you have an

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Speaker 1: e car, charge it up. How's that happening with this

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Speaker 1: business model and this company you created called bitmind.

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Speaker 3: Yeah, so we essentially have three ways where we're you know,

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Speaker 3: funding our operational expenses and paying salaries, et cetera. So

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Speaker 3: the first one is that we we did raise venture

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Speaker 3: funding there you right, So like that, yeah, that's the

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Speaker 3: most basic one, and like you know that that was

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Speaker 3: a big level of confidence of me diving into it.

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Speaker 2: You know, I was going when.

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Speaker 1: We did a VC funding, did you have to give

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Speaker 1: away a portion of your company a percentage?

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Speaker 2: Correct? Correct? Yes.

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Speaker 3: And then the second one is kind of the two

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Speaker 3: levers I mentioned, But the first one is essentially revenue

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Speaker 3: from cryptocurrency emissions. So like, right, by participating in this

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Speaker 3: network building contributing AI models to this network, you earn cryptocurrency,

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Speaker 3: which is called tao. And then the third one is

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Speaker 3: we have a variety of products and services that essentially

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Speaker 3: have subscriptions subscription fees, and so we're generating like revenue

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Speaker 3: through those three I guess, not revenue, but the second two, right,

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Speaker 3: the cryptocurrencury emissions and then the subscription revenues, and then

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Speaker 3: we're kind of putting all of that actually back into

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Speaker 3: the business. Right now, we're trying to grow, we're trying

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Speaker 3: to expand our market share, our mind share, and we're

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Speaker 3: funding kind of our operational expenses off of the funding

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Speaker 3: that we raised.

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Speaker 1: Now, yours is not because you mentioned earlier. You know,

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Speaker 1: the chat GPT, which is the I guess you could

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Speaker 1: say detects or the form of AI because they used

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Speaker 1: a lot you Google, you go to Google and go

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Speaker 1: some of the platform there and ask the question, and

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Speaker 1: they're basically using chat GPT to give you an answer.

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Speaker 1: And so, now, but your video your de fake. You're

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Speaker 1: the deep fake get video guy. That's what I'm just

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Speaker 1: calling out in this sparticular conversation. Now, you said I

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Speaker 1: said this in your intro. You know, the world's first

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Speaker 1: decentralized artificial intelligence or AI deep fake detection system. You're

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Speaker 1: an authority on how people can protect themselves. This is

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Speaker 1: about security protection using free solutions. Let's discuss those free

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Speaker 1: solutions because the word free always catches everybody here. So

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Speaker 1: let's go with the free solutions first, kid, before we

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Speaker 1: get to the subscriptions.

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Speaker 2: Okay, yeah, yea.

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Speaker 3: So maybe to draw comparison to chat GPT, right, if

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Speaker 3: you put an image or a video into chat GPT

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Speaker 3: and you say, hey, is this AI generated or not?

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Speaker 3: It can't tell you. It will give you an answer

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Speaker 3: on that, right, And so it's like, okay, can we

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Speaker 3: help people really make a you know, a determination, help

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Speaker 3: help educate users and keep them protected. And so we

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Speaker 3: have two kind of core products right now that help

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Speaker 3: users use This is the first one is a website

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Speaker 3: called thedetector dot ai. You go to it, you can

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Speaker 3: drag and drop an image or in a video, and

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Speaker 3: then it will give you a essentially classification whether it's

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Speaker 3: real or AI generated with some confidence score. And the

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Speaker 3: second one, we have a browser extension that while you're

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Speaker 3: scrolling Twitter, while you're scrolling any news website, any website

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Speaker 3: at all, if you hover over any image or video,

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Speaker 3: it will get processed and overlay like you know, basically

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Speaker 3: a little green check mark or like a robot looking thing,

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Speaker 3: and say, hey, is this AI generated or is this realm?

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Speaker 6: Please don't go anywhere. We'll be right back with more

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Speaker 6: Money Making Conversations Masterclass. Welcome back to the Money Making

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Speaker 6: Conversations Masterclass, hosted by Rashaan McDonald.

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Speaker 1: Now, now we're going downs coming to the consumers everyday,

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Speaker 1: people like me. I'm just on the internet. I guess

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Speaker 1: I'm thinking about elections. I probably want to know if

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Speaker 1: did Trump really say that, or did Biden say that,

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Speaker 1: Kamala Harris say that, or Jeffries that part of the

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Speaker 1: conversation or Putin did he say that? Because AI fakes

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Speaker 1: are international, so as a consumer, is that the only

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Speaker 1: areas I should be concerned? About fake videos. Is in

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Speaker 1: the political arena or there other arenas that I need

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Speaker 1: to be opening my eyes up for can to come

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Speaker 1: and start at least using your free solutions.

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Speaker 3: Yes, there's definitely many other areas, but that is a

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Speaker 3: very large one, right right. One of the reasons why

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Speaker 3: we started this was like, hey, one decentralized AI. It

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Speaker 3: sounds very, very buzzworthy, but dee fakes. I think a

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Speaker 3: lot of everyday consumers understand that. And this was started

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Speaker 3: at the beginning of twenty twenty four. And really what

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Speaker 3: was fascinating about twenty twenty four was it was the

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Speaker 3: first year of the first election cycle in the age

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Speaker 3: of AI, right right, maybe Obama's you know, ever since

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Speaker 3: two thousand and eight, there were some elections in the

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Speaker 3: age of social media, but this was really the first

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Speaker 3: one where AI was being proliferated throughout society. And the

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Speaker 3: thesis was, hey, AI is really going to affect this

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Speaker 3: upcoming election cycle. And I think we saw that play out.

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Speaker 3: So it's not only the US elections, but India had

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Speaker 3: their elections, Tai had their elections, and actually in those

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Speaker 3: countries where the regulations are slightly different, there was a

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Speaker 3: report that over fifty million dollars was invested in generating

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Speaker 3: AI content in India, both for like malicious reasons for

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Speaker 3: the opposing candidate and to make themselves look good and

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Speaker 3: then right for the US ones, it played out really interesting.

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Speaker 3: There was a couple really important deep fake videos that

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Speaker 3: came out. There was an accusation of Tim Waltz being

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Speaker 3: like for sexual abuse and that ended up being a defake, right,

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Speaker 3: But a lot of it was actually used in satire

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Speaker 3: and humor, like you know, Elon posting Vice President Harris

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Speaker 3: and you know at the time like in you know,

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Speaker 3: kind of propaganda Garbin and stuff like that.

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Speaker 2: So I think that highly critical.

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Speaker 3: You know, information is really important, but the other use

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Speaker 3: cases are are pretty broad, right. I think one of

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Speaker 3: the main ones that is really critical is kind of

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Speaker 3: financial fraud and abuse. So there's a lot of There's

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Speaker 3: been a lot of scams recently that have been popularized

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Speaker 3: in the news, Like Tom Hanks was selling some health

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Speaker 3: medicine and it was using his likeness and his voice

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Speaker 3: to do that. There was a scam for Joe Biden

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Speaker 3: not running but essentially promoting a charity or a foundation

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Speaker 3: that ended up being being fake. And then a really

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Speaker 3: big one in I believe it was in London where

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Speaker 3: this was actually an audio and it was very sophisticated,

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Speaker 3: but they basically faked being. They faked the voice of

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Speaker 3: a large client and they were able to get the

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Speaker 3: bank to send over fifty million dollars to an unverified account.

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Speaker 3: And so you have like this huge sector of financial

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Speaker 3: and then you have like a variety of other things,

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Speaker 3: but maybe the most tangible one is right now, there's

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Speaker 3: a lot of e commerce that's fake. So think Temu,

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Speaker 3: think Ali Baba, even think Amazon right, people selling fake products.

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Speaker 3: There was a really funny viral kind of story that

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Speaker 3: came out like there was a large couch that looked

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Speaker 3: like a gorilla, and you know they were selling it

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Speaker 3: for like five hundred dollars and people were buying it,

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Speaker 3: but you know it was AI generated and you know

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Speaker 3: it wasn't It wasn't that product. So I think there's

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Speaker 3: there's honestly unlimited angles of just consumer protection where hey,

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Speaker 3: anything that you could there's incentive to to confuse, uh

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Speaker 3: scam the user with AI right, you can be protected

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Speaker 3: right with with verified I'm daism.

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Speaker 1: You know, you get Bank of America coming in American Express.

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Speaker 1: You don't know if it's an American Express. It looks like

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Speaker 1: an American Express, and do you click it. You have

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Speaker 1: to click that email and see if it's a Gmail

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Speaker 1: or some outlook created American Express. All getting like I

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Speaker 1: got an email the other day, said email that email

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Speaker 1: PayPal dot com. Okay, just because of that PayPal and that,

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Speaker 1: but then an email in front of it, I knew

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Speaker 1: that was a fake. So we're being hit so many

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Speaker 1: different times with this. Of course, you know the generation

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Speaker 1: that is most vulnerable to this is the very young

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Speaker 1: and the very old in this process, and then in

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Speaker 1: the business side, like you said, the banking industry that

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Speaker 1: was a fifty million dollars heist. Basically, we can say

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Speaker 1: coming out there, so how do you get bidmine in

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Speaker 1: front of all this ken to be able to say, hey,

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Speaker 1: we're over here, we can help you, we can help you. Okay,

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Speaker 1: we got we got the software over here. How do

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Speaker 1: you from a marketing and branding standpoint, how do you

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Speaker 1: cut through the clutter and market your brand?

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Speaker 4: Yeah?

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Speaker 3: So from a marketing standpoint, very simply, we have the

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Speaker 3: best defake detection solution in the world right now that's

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Speaker 3: available to consumers so there's a variety of other competitors

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Speaker 3: in the space, but most of them are offering you know,

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Speaker 3: enterprise government, contract related software. And what we're saying is, hey,

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Speaker 3: we want to go direct to consumer. Right, these scams

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Speaker 3: are coming more and more sophisticated. What you mentioned with

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Speaker 3: the email stuff, So this is a field, right, it's

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Speaker 3: called b EC Business Email compromise scams that is over

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Speaker 3: a one billion dollar per year industry and only rising

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Speaker 3: fast and getting more and more sophisticated with with these

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Speaker 3: AI tools. And now that these AI generate AI tools

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Speaker 3: are so they're so easy to access, it's extremely you know,

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Speaker 3: the barrier of entry is low. You don't need to

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Speaker 3: be a sophisticated software engineer. You can like, you know,

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Speaker 3: go on a website and generate someone's voids, or go

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Speaker 3: on a website and generate a video of someone where

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Speaker 3: they're just becoming more and more difficult to spot. And

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Speaker 3: so how bitmind gets ahead of it is kind of

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Speaker 3: like the basically the tools that we're building are saying, hey,

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Speaker 3: anything that is touching.

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Speaker 5: You, you know, you utilize a tool to basically.

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Speaker 2: Do an initial check on it.

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Speaker 3: You know, when a phone call is coming in can

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Speaker 3: you verify the number when you're looking at any news

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Speaker 3: or content on Twitter, can it identify whether it's AI

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Speaker 3: generated or not? You know, an enterprise solution in the

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Speaker 3: future could be related to emails, you know, basically, like

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Speaker 3: you can think of even its scraping your emails and

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Speaker 3: like anything that is flagged from like something that's you know,

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Speaker 3: AI looking or malicious looking it going to a certain

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Speaker 3: folder or flagging it in a certain way, but really

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Speaker 3: trying to be proactive in informing the user of what.

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Speaker 2: Is AI generated or not and what we really believe in.

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Speaker 3: There's like a lot of there's a lot of discussion

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Speaker 3: right now in regulation and I'm definitely in the opinion of,

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Speaker 3: like I think that could be a slippery slope of

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Speaker 3: kind of going down anti free speech.

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Speaker 5: What you want to do is give consumers the tools.

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Speaker 3: The education to be able to make their decisions and

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Speaker 3: protect them if they don't want to view it at all, they.

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Speaker 2: Want to be very secure.

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Speaker 3: You know, you can do this, but if you want

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Speaker 3: to be able to look at what you're viewing but

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Speaker 3: make the determination for yourself whether it's AI generator or not,

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Speaker 3: just have the information displayed to you so that you

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Speaker 3: can make that decision.

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Speaker 1: Okay, cool, I'm talking to my guests is the co

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Speaker 1: founder and CEO Bitmind, the world's first decentralized artificial intelligence

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Speaker 1: AI deep fake detection system. Now where could we go?

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Speaker 1: We talked about free solution, but I have not given

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Speaker 1: anybody a website location or a number talk about how

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Speaker 1: we can access these free solutions or these subscriptions.

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Speaker 3: Yeah, so the first website, go to the detector dot ai.

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Speaker 3: That is our web application where you can drag and

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Speaker 3: drop images and videos. More time, repeat that thedetector dot ai.

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Speaker 3: And then the second one is go to the Chrome

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Speaker 3: web Store. You know, there's plenty of Chrome extensions out there,

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Speaker 3: but go to the Chrome web Store and just look up.

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Speaker 3: Just look up bitmind or AI detector and will be

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Speaker 3: the first one that popped it up. We're featured on

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Speaker 3: the on the Chrome web Store right now. And that

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Speaker 3: is the browser extension where it will overlay information on

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Speaker 3: your web page as we're scrolling the internet, looking at News,

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Speaker 3: looking at Twitter, looking at your social websites.

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Speaker 2: Et cetera.

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Speaker 1: Now you know, Ken, this is the fear factor. Now

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Speaker 1: you you proclaimed clear, You're not IBM, You're not Google

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Speaker 1: you're not Apple, You're not some big company named quote

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Speaker 1: unquote we trust you know, we thought we trusted TikTok,

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Speaker 1: and they told us it's spying on us. We can't

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Speaker 1: even put their own government computers.

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Speaker 3: That is that is an absolutely great question and another

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Speaker 3: reason why we started this. So, right, if you have

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Speaker 3: maybe it's a start, if you have Google or Apple

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Speaker 3: or any of these companies telling you that like, hey,

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Speaker 3: this is this is AI or this is not.

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Speaker 5: This is a huge conflict of interest for these companies.

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Speaker 5: They're the ones generating the content.

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Speaker 3: So how you're gonna be the one generating the content

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Speaker 3: and telling it it's us if it's ar fake and

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Speaker 3: you already see, like you know, these big companies being influenced,

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Speaker 3: you know, in certain ways or another. And then right,

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Speaker 3: you mentioned TikTok as well. So what bitmin does and

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Speaker 3: the reason this is the reason why it's decentralized. We

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Speaker 3: talk about, you know, the first decentralized AI defake detection tool.

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Speaker 3: The decentralized piece is what really is the necessary aspect

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Speaker 3: that incorporates the trust and it also improves the performance.

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Speaker 3: So basically, what we have running is a competition from

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Speaker 3: AI developers around the world to create the best defake

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Speaker 3: detection models, and they also get paid for doing this.

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Speaker 5: And then so when you use our applications, you're not

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Speaker 5: getting the detection from just one single model. You're actually

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Speaker 5: getting a detection from over two hundred different models at

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Speaker 5: any given time. And then what is being displayed to

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Speaker 5: the end user is the aggregation or the average of

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Speaker 5: all those models. So by decentralizing it and saying, hey,

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Speaker 5: we're not going to just like use one solution that

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Speaker 5: could be overfitted have biases, We're using hundreds of models

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Speaker 5: at a time, so that that bias that trust. If

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Speaker 5: any single model is trying to, you know, do something malicious,

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Speaker 5: it won't matter in this whole average, and you're just

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Speaker 5: trusting this aggregated, decentralized competition of AI developers around the

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Speaker 5: world that are that are creating these these models.

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Speaker 1: Okay Kin mentioned India early in the interview, and I

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Speaker 1: didn't want to cut him off, but I want but

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Speaker 1: I did want to add this fact to really validate

436
00:24:34,960 --> 00:24:37,720
Speaker 1: this story about they have a morning show in India.

437
00:24:38,320 --> 00:24:42,120
Speaker 1: It's hosted by one person that is completely AI generated,

438
00:24:42,880 --> 00:24:48,560
Speaker 1: and that's why actors are nervous about AI because if

439
00:24:48,600 --> 00:24:51,320
Speaker 1: you can create a morning show person that is not

440
00:24:51,400 --> 00:24:54,360
Speaker 1: even real, and this is what they benefit. They don't

441
00:24:54,400 --> 00:24:56,800
Speaker 1: call it sick. They don't have to pay for the

442
00:24:56,880 --> 00:25:00,560
Speaker 1: health benefits. They don't take vacation. And that is from

443
00:25:00,600 --> 00:25:04,600
Speaker 1: a business perspective. That's what people see the value of

444
00:25:04,760 --> 00:25:08,760
Speaker 1: AIM because of the fact that it doesn't complain. But

445
00:25:08,880 --> 00:25:11,439
Speaker 1: the program in place, that programmer can be on vacation,

446
00:25:11,720 --> 00:25:13,800
Speaker 1: that programmer can be in New York, that programmer can

447
00:25:13,880 --> 00:25:16,360
Speaker 1: be in the Heati, that programmer can be in Japan.

448
00:25:16,920 --> 00:25:19,080
Speaker 1: They're doing the work or they just switch off to

449
00:25:19,160 --> 00:25:22,159
Speaker 1: somebody else on another eight hour shift. And that person

450
00:25:22,200 --> 00:25:25,240
Speaker 1: who maybe if it becomes popular because they say this

451
00:25:25,359 --> 00:25:29,119
Speaker 1: AI generated character is very popular, can you don't have

452
00:25:29,119 --> 00:25:30,880
Speaker 1: to pay that person ten million dollars a year?

453
00:25:34,240 --> 00:25:35,760
Speaker 2: I think yeah, no, one hundred percent.

454
00:25:35,840 --> 00:25:39,320
Speaker 3: Yeah, right, when you're using software, when you're using AI, right,

455
00:25:39,359 --> 00:25:43,200
Speaker 3: we're talking about maybe protecting yourself from scams. So now

456
00:25:43,720 --> 00:25:46,280
Speaker 3: you not only have just like you know, traditionally you

457
00:25:46,320 --> 00:25:48,720
Speaker 3: had a person or a team working on trying to

458
00:25:48,760 --> 00:25:51,600
Speaker 3: develop these scams, but of AI working on it. This

459
00:25:51,680 --> 00:25:54,240
Speaker 3: thing's twenty four to seven and never sleeps, right, you know,

460
00:25:54,400 --> 00:25:58,200
Speaker 3: it's always coming, always improving and so right. I think

461
00:25:58,359 --> 00:26:01,359
Speaker 3: you need to give consumers use there's tools education to

462
00:26:01,880 --> 00:26:04,119
Speaker 3: protect themselves better in this new world.

463
00:26:04,720 --> 00:26:08,080
Speaker 1: Well, I'll tell you something, brother, I am. I get

464
00:26:08,080 --> 00:26:11,199
Speaker 1: on my email every day, I click on stuff, and

465
00:26:11,240 --> 00:26:13,320
Speaker 1: I had to educate myself. Ken. I had to go

466
00:26:13,400 --> 00:26:16,359
Speaker 1: and have my staff. It's just real. It's just real.

467
00:26:16,640 --> 00:26:19,640
Speaker 1: And finally with Rashaan stopped and I had to learn

468
00:26:19,640 --> 00:26:22,000
Speaker 1: the tricks. But of course when you learn a trick,

469
00:26:22,040 --> 00:26:25,560
Speaker 1: there's a better trick created, okay, And I'm just telling

470
00:26:25,640 --> 00:26:28,040
Speaker 1: my listeners. The reason I brought Ken on the show

471
00:26:28,119 --> 00:26:31,240
Speaker 1: is to say, here's free solutions that you can walk

472
00:26:31,280 --> 00:26:34,760
Speaker 1: in and use. And if you need more advanced from

473
00:26:34,760 --> 00:26:37,920
Speaker 1: a consumer standpoint or a business standpoint, they have a subscription.

474
00:26:38,840 --> 00:26:44,840
Speaker 1: As you said earlier, overlays, the easy detection, drag it

475
00:26:44,880 --> 00:26:47,360
Speaker 1: over to your software goes in there. You put overlays

476
00:26:47,359 --> 00:26:49,880
Speaker 1: on different software. I just know that this we all

477
00:26:49,920 --> 00:26:52,399
Speaker 1: know is not going away, can so we need to

478
00:26:52,440 --> 00:26:55,520
Speaker 1: just strap up to the reality of deal with it

479
00:26:55,920 --> 00:26:58,879
Speaker 1: so you can secure your money. So one day you

480
00:26:58,880 --> 00:27:00,919
Speaker 1: will open your bank account and all your minds are

481
00:27:00,920 --> 00:27:02,600
Speaker 1: going Am I righting air assessment?

482
00:27:03,920 --> 00:27:06,680
Speaker 2: Right? I think the first step is education.

483
00:27:06,920 --> 00:27:08,719
Speaker 3: Right, if you don't know that there's a problem, if

484
00:27:08,720 --> 00:27:11,000
Speaker 3: you're not aware of it, you can't you can't solve it.

485
00:27:11,440 --> 00:27:15,680
Speaker 2: But right, the velocity and the.

486
00:27:15,640 --> 00:27:20,040
Speaker 3: Improvement of generative AI, this is it's akin to cybersecurity, right,

487
00:27:20,119 --> 00:27:23,320
Speaker 3: like new security threats get created all the time and

488
00:27:23,640 --> 00:27:24,800
Speaker 3: the security.

489
00:27:24,320 --> 00:27:26,280
Speaker 5: Needs to adopt. And this is the same thing.

490
00:27:26,560 --> 00:27:29,640
Speaker 3: New AI will be generated at all times, and we're

491
00:27:29,680 --> 00:27:32,400
Speaker 3: in the game of continuously keeping up, trying.

492
00:27:32,200 --> 00:27:36,160
Speaker 2: To stay ahead. But to do that right, I.

493
00:27:36,040 --> 00:27:40,920
Speaker 3: Think we're close and very soon it will be impossible

494
00:27:40,920 --> 00:27:43,760
Speaker 3: to differentiate with the human eye what is AI generated

495
00:27:43,840 --> 00:27:44,280
Speaker 3: or what is not.

496
00:27:44,880 --> 00:27:47,119
Speaker 1: Absolutely, that's why we need your show. That's why it's

497
00:27:47,119 --> 00:27:48,840
Speaker 1: going to be. We need your company to be at

498
00:27:48,840 --> 00:27:51,640
Speaker 1: the front of it all. Bid Mind again, tell everybody

499
00:27:51,640 --> 00:27:54,199
Speaker 1: how we can go there see what you're doing on

500
00:27:54,240 --> 00:27:58,439
Speaker 1: your website. So I'll make a and also download Chrome

501
00:27:58,920 --> 00:27:59,600
Speaker 1: the app.

502
00:28:02,440 --> 00:28:08,639
Speaker 3: Go to the detector dot ai. Repeat the detector dot ai.

503
00:28:08,800 --> 00:28:11,240
Speaker 3: That's our web application. And then if you want to

504
00:28:11,280 --> 00:28:14,760
Speaker 3: have the kind of like interactive Chrome extension, go to

505
00:28:14,760 --> 00:28:18,520
Speaker 3: the Chrome web store type in AI detector or bitmind.

506
00:28:18,920 --> 00:28:21,440
Speaker 3: It'll pop up and you can download it and then

507
00:28:21,880 --> 00:28:25,560
Speaker 3: right information will be overlaid on your screen. Whether this

508
00:28:25,800 --> 00:28:28,160
Speaker 3: image or video you're looking at it either AI generated

509
00:28:28,320 --> 00:28:29,440
Speaker 3: or fake.

510
00:28:29,880 --> 00:28:32,720
Speaker 1: Yeah, he has a James Bond Type nine Ken John

511
00:28:32,840 --> 00:28:36,520
Speaker 1: at but he's a superstar in the field of protection,

512
00:28:36,840 --> 00:28:41,360
Speaker 1: especially cybersecurity. Deep fake. The reality is that it's coming.

513
00:28:41,760 --> 00:28:44,240
Speaker 1: If you don't believe it, then go to his website

514
00:28:44,440 --> 00:28:47,120
Speaker 1: google stuff. But again, if you google it, now, remember

515
00:28:47,120 --> 00:28:49,640
Speaker 1: they're in the business of deep faith too. So again,

516
00:28:49,840 --> 00:28:51,600
Speaker 1: let's go to a place or find a home that

517
00:28:51,680 --> 00:28:55,240
Speaker 1: will be decentralized and give us an opportunity to see

518
00:28:55,280 --> 00:28:57,360
Speaker 1: the truth. Thank you Ken for coming on Money Making

519
00:28:57,400 --> 00:29:01,840
Speaker 1: Conversations Masterclass and allow myself to storyteller talk to a

520
00:29:01,880 --> 00:29:03,360
Speaker 1: subject matter expert like you.

521
00:29:04,400 --> 00:29:05,720
Speaker 2: Rashan, thank you so much for having me Ma, I

522
00:29:05,760 --> 00:29:06,480
Speaker 2: appreciate it.

523
00:29:06,680 --> 00:29:10,320
Speaker 1: This has been another edition of Moneymaking Conversation Masterclass posted

524
00:29:10,400 --> 00:29:13,200
Speaker 1: by me Rushawn McDonald. Thank you to our guests on

525
00:29:13,240 --> 00:29:15,720
Speaker 1: the show today and thank you for listening to the

526
00:29:15,800 --> 00:29:18,200
Speaker 1: audience now. If you want to listen to any episode

527
00:29:18,240 --> 00:29:20,280
Speaker 1: I want to be a guest on the show, visit

528
00:29:20,560 --> 00:29:25,320
Speaker 1: Moneymakingconversations dot com. Our social media handle is money Making Conversation.

529
00:29:25,760 --> 00:29:28,160
Speaker 1: Join us next week and remember to always leave with

530
00:29:28,200 --> 00:29:29,680
Speaker 1: your gifts. Keep winning,