Latest / The Steve Harvey Morning Show / Info You Can Use: Free tools that automatically ID/flag fake AI-generated photos to prevent misinformation.

Transcript

Info You Can Use: Free tools that automatically ID/flag fake AI-generated photos to prevent misinformation. · The Steve Harvey Morning Show

• 0:00
  Speaker 1: Hi, I am Rashaun McDonald, our host this weekly Money
• 0:02
  Speaker 1: Making Conversation Masterclass show. The interviews and information that this
• 0:06
  Speaker 1: show provides off for everyone. It's time to start reading
• 0:09
  Speaker 1: other people's success stories and start living your own. If
• 0:12
  Speaker 1: you want to be a guest on my show, please
• 0:14
  Speaker 1: visit our website, Moneymakingconversations dot com and click to be
• 0:18
  Speaker 1: a guest button to submit your information. My guest is
• 0:21
  Speaker 1: the co founder and CEO of Bitmind, the world's first
• 0:25
  Speaker 1: decentralized artificial intelligence AI. As they say, deep fake detection system.
• 0:32
  Speaker 1: Me again, deep fake detection system. He's an authority on
• 0:36
  Speaker 1: how people can protect themselves using free solutions that they create.
• 0:40
  Speaker 1: Please welcome to Money Making Conversation Masterclass. Ken John Biachi
• 0:46
  Speaker 1: Hei you doing.
• 0:46
  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
• 0:53
  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
• 0:59
  Speaker 1: poor that strike was about AI and a major portion
• 1:04
  Speaker 1: of conversation is in the acting game is AI? What
• 1:09
  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
• 1:15
  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
• 1:34
  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.
• 1:39
  Speaker 3: Ago will that Will Smith eating pastave video looked absolutely
• 1:43
  Speaker 3: terrible to now some extremely hyper realistic images, video, et cetera.
• 1:50
  Speaker 3: And so it's it's really affected almost every aspect of
• 1:54
  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
• 2:19
  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
• 2:30
  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
• 2:36
  Speaker 3: need to be figured out, especially as AI gets better
• 2:38
  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
• 2:49
  Speaker 4: into more detail.
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  Speaker 3: Yeah, so studied computer science at University of California, San Diego.
• 2:57
  Speaker 3: Was really interested in you know, kind of traditionally studied,
• 3:00
  Speaker 3: but got really into the blockchain space. When I was
• 3:03
  Speaker 3: attending my undergrad I decided to start a company in
• 3:06
  Speaker 3: the crypto space. And then after that I worked in
• 3:08
  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
• 3:23
  Speaker 3: actually the original author on the paper Attention is All
• 3:27
  Speaker 3: You Need, which is the kind of fundamental building blocks
• 3:30
  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
• 3:36
  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,
• 3:43
  Speaker 3: looking at new projects, and felt like this protocol that
• 3:48
  Speaker 3: we're building on right now, Bittenser was extremely fascinating and
• 3:51
  Speaker 3: interesting to start a company on. But then also that
• 3:55
  Speaker 3: there was some really you know, critical important problems to
• 4:00
  Speaker 3: tackle that that were like existential and and and kind
• 4:04
  Speaker 3: of made the jump to go back in the entrepreneurship game.
• 4:08
  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
• 4:12
  Speaker 1: you're an entrepreneur. Now. A lot of people when they
• 4:15
  Speaker 1: make that transition, there's a lot of thought process goes
• 4:18
  Speaker 1: into a lot of fear that goes into it. Talk
• 4:20
  Speaker 1: me through those steps of going from mister forty hour week,
• 4:23
  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
• 5:02
  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
• 5:24
  Speaker 3: something just to start something because I wanted to. I
• 5:26
  Speaker 3: was kind of like, you know, looking waiting for an idea,
• 5:28
  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,
• 5:37
  Speaker 3: my family.
• 5:39
  Speaker 1: Ability. They see hike, they see stability, they see dreamer,
• 5:43
  Speaker 1: they see stability. Go hey, brother, are you crazy?
• 5:48
  Speaker 2: Now?
• 5:48
  Speaker 1: Bit mine? Okay, See that's where I'm with in this conversation. Okay,
• 5:54
  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
• 6:03
  Speaker 1: the fact if you have a product, you know, because
• 6:06
  Speaker 1: this is really a lot of the software design, a
• 6:09
  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
• 6:14
  Speaker 1: some bread, you can go eat it. You know, you
• 6:16
  Speaker 1: open a restaurant, you can sit down and be served.
• 6:18
  Speaker 1: Now your company doesn't do that. How were you able
• 6:22
  Speaker 1: to in your mind understand the profit laws or the
• 6:25
  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
• 6:35
  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
• 6:46
  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
• 7:00
  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.
• 7:19
  Speaker 5: And expand your business.
• 7:21
  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
• 7:27
  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
• 7:35
  Speaker 3: time it was less than two hundred million. Kind of
• 7:39
  Speaker 3: that was invested into defake detection or kind of like
• 7:44
  Speaker 3: detection models and.
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  Speaker 1: So security, right, so exactly you develop a security system.
• 7:50
  Speaker 3: Essentially, yes, So like cybersecurity for AI is like definitely
• 7:54
  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
• 8:52
  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
• 8:57
  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
• 9:23
  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
• 9:32
  Speaker 1: an everyday lifestyle, keep the lights on, go out to launch,
• 9:36
  Speaker 1: keep gas in the car, or if you have an
• 9:38
  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,
• 9:49
  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
• 9:55
  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.
• 10:05
  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
• 10:24
  Speaker 3: network building contributing AI models to this network, you earn cryptocurrency,
• 10:29
  Speaker 3: which is called tao. And then the third one is
• 10:32
  Speaker 3: we have a variety of products and services that essentially
• 10:35
  Speaker 3: have subscriptions subscription fees, and so we're generating like revenue
• 10:40
  Speaker 3: through those three I guess, not revenue, but the second two, right,
• 10:44
  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
• 10:51
  Speaker 3: the business. Right now, we're trying to grow, we're trying
• 10:53
  Speaker 3: to expand our market share, our mind share, and we're
• 10:56
  Speaker 3: funding kind of our operational expenses off of the funding
• 11:00
  Speaker 3: that we raised.
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  Speaker 1: Now, yours is not because you mentioned earlier. You know,
• 11:04
  Speaker 1: the chat GPT, which is the I guess you could
• 11:09
  Speaker 1: say detects or the form of AI because they used
• 11:14
  Speaker 1: a lot you Google, you go to Google and go
• 11:16
  Speaker 1: some of the platform there and ask the question, and
• 11:19
  Speaker 1: they're basically using chat GPT to give you an answer.
• 11:24
  Speaker 1: And so, now, but your video your de fake. You're
• 11:27
  Speaker 1: the deep fake get video guy. That's what I'm just
• 11:29
  Speaker 1: calling out in this sparticular conversation. Now, you said I
• 11:33
  Speaker 1: said this in your intro. You know, the world's first
• 11:36
  Speaker 1: decentralized artificial intelligence or AI deep fake detection system. You're
• 11:42
  Speaker 1: an authority on how people can protect themselves. This is
• 11:45
  Speaker 1: about security protection using free solutions. Let's discuss those free
• 11:51
  Speaker 1: solutions because the word free always catches everybody here. So
• 11:54
  Speaker 1: let's go with the free solutions first, kid, before we
• 11:57
  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
• 12:03
  Speaker 3: you put an image or a video into chat GPT
• 12:06
  Speaker 3: and you say, hey, is this AI generated or not?
• 12:08
  Speaker 3: It can't tell you. It will give you an answer
• 12:10
  Speaker 3: on that, right, And so it's like, okay, can we
• 12:12
  Speaker 3: help people really make a you know, a determination, help
• 12:17
  Speaker 3: help educate users and keep them protected. And so we
• 12:21
  Speaker 3: have two kind of core products right now that help
• 12:25
  Speaker 3: users use This is the first one is a website
• 12:27
  Speaker 3: called thedetector dot ai. You go to it, you can
• 12:30
  Speaker 3: drag and drop an image or in a video, and
• 12:32
  Speaker 3: then it will give you a essentially classification whether it's
• 12:37
  Speaker 3: real or AI generated with some confidence score. And the
• 12:40
  Speaker 3: second one, we have a browser extension that while you're
• 12:43
  Speaker 3: scrolling Twitter, while you're scrolling any news website, any website
• 12:46
  Speaker 3: at all, if you hover over any image or video,
• 12:50
  Speaker 3: it will get processed and overlay like you know, basically
• 12:53
  Speaker 3: a little green check mark or like a robot looking thing,
• 12:57
  Speaker 3: and say, hey, is this AI generated or is this realm?
• 13:01
  Speaker 6: Please don't go anywhere. We'll be right back with more
• 13:04
  Speaker 6: Money Making Conversations Masterclass. Welcome back to the Money Making
• 13:16
  Speaker 6: Conversations Masterclass, hosted by Rashaan McDonald.
• 13:21
  Speaker 1: Now, now we're going downs coming to the consumers everyday,
• 13:24
  Speaker 1: people like me. I'm just on the internet. I guess
• 13:30
  Speaker 1: I'm thinking about elections. I probably want to know if
• 13:33
  Speaker 1: did Trump really say that, or did Biden say that,
• 13:37
  Speaker 1: Kamala Harris say that, or Jeffries that part of the
• 13:41
  Speaker 1: conversation or Putin did he say that? Because AI fakes
• 13:45
  Speaker 1: are international, so as a consumer, is that the only
• 13:50
  Speaker 1: areas I should be concerned? About fake videos. Is in
• 13:55
  Speaker 1: the political arena or there other arenas that I need
• 13:58
  Speaker 1: to be opening my eyes up for can to come
• 14:01
  Speaker 1: and start at least using your free solutions.
• 14:07
  Speaker 3: Yes, there's definitely many other areas, but that is a
• 14:11
  Speaker 3: very large one, right right. One of the reasons why
• 14:14
  Speaker 3: we started this was like, hey, one decentralized AI. It
• 14:19
  Speaker 3: sounds very, very buzzworthy, but dee fakes. I think a
• 14:23
  Speaker 3: lot of everyday consumers understand that. And this was started
• 14:26
  Speaker 3: at the beginning of twenty twenty four. And really what
• 14:29
  Speaker 3: was fascinating about twenty twenty four was it was the
• 14:32
  Speaker 3: first year of the first election cycle in the age
• 14:37
  Speaker 3: of AI, right right, maybe Obama's you know, ever since
• 14:41
  Speaker 3: two thousand and eight, there were some elections in the
• 14:43
  Speaker 3: age of social media, but this was really the first
• 14:45
  Speaker 3: one where AI was being proliferated throughout society. And the
• 14:49
  Speaker 3: thesis was, hey, AI is really going to affect this
• 14:53
  Speaker 3: upcoming election cycle. And I think we saw that play out.
• 14:56
  Speaker 3: So it's not only the US elections, but India had
• 14:59
  Speaker 3: their elections, Tai had their elections, and actually in those
• 15:03
  Speaker 3: countries where the regulations are slightly different, there was a
• 15:07
  Speaker 3: report that over fifty million dollars was invested in generating
• 15:11
  Speaker 3: AI content in India, both for like malicious reasons for
• 15:14
  Speaker 3: the opposing candidate and to make themselves look good and
• 15:18
  Speaker 3: then right for the US ones, it played out really interesting.
• 15:21
  Speaker 3: There was a couple really important deep fake videos that
• 15:24
  Speaker 3: came out. There was an accusation of Tim Waltz being
• 15:29
  Speaker 3: like for sexual abuse and that ended up being a defake, right,
• 15:32
  Speaker 3: But a lot of it was actually used in satire
• 15:35
  Speaker 3: and humor, like you know, Elon posting Vice President Harris
• 15:39
  Speaker 3: and you know at the time like in you know,
• 15:43
  Speaker 3: kind of propaganda Garbin and stuff like that.
• 15:46
  Speaker 2: So I think that highly critical.
• 15:48
  Speaker 3: You know, information is really important, but the other use
• 15:50
  Speaker 3: cases are are pretty broad, right. I think one of
• 15:53
  Speaker 3: the main ones that is really critical is kind of
• 15:56
  Speaker 3: financial fraud and abuse. So there's a lot of There's
• 16:00
  Speaker 3: been a lot of scams recently that have been popularized
• 16:03
  Speaker 3: in the news, Like Tom Hanks was selling some health
• 16:08
  Speaker 3: medicine and it was using his likeness and his voice
• 16:12
  Speaker 3: to do that. There was a scam for Joe Biden
• 16:16
  Speaker 3: not running but essentially promoting a charity or a foundation
• 16:23
  Speaker 3: that ended up being being fake. And then a really
• 16:25
  Speaker 3: big one in I believe it was in London where
• 16:29
  Speaker 3: this was actually an audio and it was very sophisticated,
• 16:32
  Speaker 3: but they basically faked being. They faked the voice of
• 16:35
  Speaker 3: a large client and they were able to get the
• 16:37
  Speaker 3: bank to send over fifty million dollars to an unverified account.
• 16:41
  Speaker 3: And so you have like this huge sector of financial
• 16:44
  Speaker 3: and then you have like a variety of other things,
• 16:47
  Speaker 3: but maybe the most tangible one is right now, there's
• 16:52
  Speaker 3: a lot of e commerce that's fake. So think Temu,
• 16:56
  Speaker 3: think Ali Baba, even think Amazon right, people selling fake products.
• 17:00
  Speaker 3: There was a really funny viral kind of story that
• 17:04
  Speaker 3: came out like there was a large couch that looked
• 17:08
  Speaker 3: like a gorilla, and you know they were selling it
• 17:12
  Speaker 3: for like five hundred dollars and people were buying it,
• 17:15
  Speaker 3: but you know it was AI generated and you know
• 17:18
  Speaker 3: it wasn't It wasn't that product. So I think there's
• 17:20
  Speaker 3: there's honestly unlimited angles of just consumer protection where hey,
• 17:25
  Speaker 3: anything that you could there's incentive to to confuse, uh
• 17:32
  Speaker 3: scam the user with AI right, you can be protected
• 17:36
  Speaker 3: right with with verified I'm daism.
• 17:39
  Speaker 1: You know, you get Bank of America coming in American Express.
• 17:43
  Speaker 1: You don't know if it's an American Express. It looks like
• 17:45
  Speaker 1: an American Express, and do you click it. You have
• 17:48
  Speaker 1: to click that email and see if it's a Gmail
• 17:50
  Speaker 1: or some outlook created American Express. All getting like I
• 17:54
  Speaker 1: got an email the other day, said email that email
• 17:57
  Speaker 1: PayPal dot com. Okay, just because of that PayPal and that,
• 18:01
  Speaker 1: but then an email in front of it, I knew
• 18:03
  Speaker 1: that was a fake. So we're being hit so many
• 18:06
  Speaker 1: different times with this. Of course, you know the generation
• 18:10
  Speaker 1: that is most vulnerable to this is the very young
• 18:14
  Speaker 1: and the very old in this process, and then in
• 18:17
  Speaker 1: the business side, like you said, the banking industry that
• 18:21
  Speaker 1: was a fifty million dollars heist. Basically, we can say
• 18:24
  Speaker 1: coming out there, so how do you get bidmine in
• 18:27
  Speaker 1: front of all this ken to be able to say, hey,
• 18:31
  Speaker 1: we're over here, we can help you, we can help you. Okay,
• 18:34
  Speaker 1: we got we got the software over here. How do
• 18:37
  Speaker 1: you from a marketing and branding standpoint, how do you
• 18:40
  Speaker 1: cut through the clutter and market your brand?
• 18:44
  Speaker 4: Yeah?
• 18:44
  Speaker 3: So from a marketing standpoint, very simply, we have the
• 18:48
  Speaker 3: best defake detection solution in the world right now that's
• 18:51
  Speaker 3: available to consumers so there's a variety of other competitors
• 18:54
  Speaker 3: in the space, but most of them are offering you know,
• 18:58
  Speaker 3: enterprise government, contract related software. And what we're saying is, hey,
• 19:02
  Speaker 3: we want to go direct to consumer. Right, these scams
• 19:05
  Speaker 3: are coming more and more sophisticated. What you mentioned with
• 19:08
  Speaker 3: the email stuff, So this is a field, right, it's
• 19:11
  Speaker 3: called b EC Business Email compromise scams that is over
• 19:16
  Speaker 3: a one billion dollar per year industry and only rising
• 19:20
  Speaker 3: fast and getting more and more sophisticated with with these
• 19:24
  Speaker 3: AI tools. And now that these AI generate AI tools
• 19:27
  Speaker 3: are so they're so easy to access, it's extremely you know,
• 19:34
  Speaker 3: the barrier of entry is low. You don't need to
• 19:36
  Speaker 3: be a sophisticated software engineer. You can like, you know,
• 19:40
  Speaker 3: go on a website and generate someone's voids, or go
• 19:42
  Speaker 3: on a website and generate a video of someone where
• 19:44
  Speaker 3: they're just becoming more and more difficult to spot. And
• 19:47
  Speaker 3: so how bitmind gets ahead of it is kind of
• 19:49
  Speaker 3: like the basically the tools that we're building are saying, hey,
• 19:53
  Speaker 3: anything that is touching.
• 19:54
  Speaker 5: You, you know, you utilize a tool to basically.
• 19:58
  Speaker 2: Do an initial check on it.
• 20:00
  Speaker 3: You know, when a phone call is coming in can
• 20:02
  Speaker 3: you verify the number when you're looking at any news
• 20:06
  Speaker 3: or content on Twitter, can it identify whether it's AI
• 20:08
  Speaker 3: generated or not? You know, an enterprise solution in the
• 20:12
  Speaker 3: future could be related to emails, you know, basically, like
• 20:14
  Speaker 3: you can think of even its scraping your emails and
• 20:17
  Speaker 3: like anything that is flagged from like something that's you know,
• 20:21
  Speaker 3: AI looking or malicious looking it going to a certain
• 20:24
  Speaker 3: folder or flagging it in a certain way, but really
• 20:26
  Speaker 3: trying to be proactive in informing the user of what.
• 20:34
  Speaker 2: Is AI generated or not and what we really believe in.
• 20:37
  Speaker 3: There's like a lot of there's a lot of discussion
• 20:39
  Speaker 3: right now in regulation and I'm definitely in the opinion of,
• 20:43
  Speaker 3: like I think that could be a slippery slope of
• 20:47
  Speaker 3: kind of going down anti free speech.
• 20:51
  Speaker 5: What you want to do is give consumers the tools.
• 20:56
  Speaker 3: The education to be able to make their decisions and
• 20:59
  Speaker 3: protect them if they don't want to view it at all, they.
• 21:01
  Speaker 2: Want to be very secure.
• 21:02
  Speaker 3: You know, you can do this, but if you want
• 21:04
  Speaker 3: to be able to look at what you're viewing but
• 21:06
  Speaker 3: make the determination for yourself whether it's AI generator or not,
• 21:09
  Speaker 3: just have the information displayed to you so that you
• 21:11
  Speaker 3: can make that decision.
• 21:12
  Speaker 1: Okay, cool, I'm talking to my guests is the co
• 21:15
  Speaker 1: founder and CEO Bitmind, the world's first decentralized artificial intelligence
• 21:20
  Speaker 1: AI deep fake detection system. Now where could we go?
• 21:25
  Speaker 1: We talked about free solution, but I have not given
• 21:27
  Speaker 1: anybody a website location or a number talk about how
• 21:31
  Speaker 1: we can access these free solutions or these subscriptions.
• 21:35
  Speaker 3: Yeah, so the first website, go to the detector dot ai.
• 21:40
  Speaker 3: That is our web application where you can drag and
• 21:42
  Speaker 3: drop images and videos. More time, repeat that thedetector dot ai.
• 21:49
  Speaker 3: And then the second one is go to the Chrome
• 21:51
  Speaker 3: web Store. You know, there's plenty of Chrome extensions out there,
• 21:54
  Speaker 3: but go to the Chrome web Store and just look up.
• 21:57
  Speaker 3: Just look up bitmind or AI detector and will be
• 22:01
  Speaker 3: the first one that popped it up. We're featured on
• 22:03
  Speaker 3: the on the Chrome web Store right now. And that
• 22:07
  Speaker 3: is the browser extension where it will overlay information on
• 22:10
  Speaker 3: your web page as we're scrolling the internet, looking at News,
• 22:13
  Speaker 3: looking at Twitter, looking at your social websites.
• 22:16
  Speaker 2: Et cetera.
• 22:16
  Speaker 1: Now you know, Ken, this is the fear factor. Now
• 22:19
  Speaker 1: you you proclaimed clear, You're not IBM, You're not Google
• 22:22
  Speaker 1: you're not Apple, You're not some big company named quote
• 22:26
  Speaker 1: unquote we trust you know, we thought we trusted TikTok,
• 22:29
  Speaker 1: and they told us it's spying on us. We can't
• 22:31
  Speaker 1: even put their own government computers.
• 22:37
  Speaker 3: That is that is an absolutely great question and another
• 22:41
  Speaker 3: reason why we started this. So, right, if you have
• 22:47
  Speaker 3: maybe it's a start, if you have Google or Apple
• 22:49
  Speaker 3: or any of these companies telling you that like, hey,
• 22:52
  Speaker 3: this is this is AI or this is not.
• 22:54
  Speaker 5: This is a huge conflict of interest for these companies.
• 22:56
  Speaker 5: They're the ones generating the content.
• 22:59
  Speaker 3: So how you're gonna be the one generating the content
• 23:01
  Speaker 3: and telling it it's us if it's ar fake and
• 23:03
  Speaker 3: you already see, like you know, these big companies being influenced,
• 23:07
  Speaker 3: you know, in certain ways or another. And then right,
• 23:09
  Speaker 3: you mentioned TikTok as well. So what bitmin does and
• 23:12
  Speaker 3: the reason this is the reason why it's decentralized. We
• 23:15
  Speaker 3: talk about, you know, the first decentralized AI defake detection tool.
• 23:19
  Speaker 3: The decentralized piece is what really is the necessary aspect
• 23:24
  Speaker 3: that incorporates the trust and it also improves the performance.
• 23:28
  Speaker 3: So basically, what we have running is a competition from
• 23:32
  Speaker 3: AI developers around the world to create the best defake
• 23:36
  Speaker 3: detection models, and they also get paid for doing this.
• 23:39
  Speaker 5: And then so when you use our applications, you're not
• 23:42
  Speaker 5: getting the detection from just one single model. You're actually
• 23:46
  Speaker 5: getting a detection from over two hundred different models at
• 23:49
  Speaker 5: any given time. And then what is being displayed to
• 23:53
  Speaker 5: the end user is the aggregation or the average of
• 23:56
  Speaker 5: all those models. So by decentralizing it and saying, hey,
• 24:00
  Speaker 5: we're not going to just like use one solution that
• 24:02
  Speaker 5: could be overfitted have biases, We're using hundreds of models
• 24:07
  Speaker 5: at a time, so that that bias that trust. If
• 24:11
  Speaker 5: any single model is trying to, you know, do something malicious,
• 24:15
  Speaker 5: it won't matter in this whole average, and you're just
• 24:18
  Speaker 5: trusting this aggregated, decentralized competition of AI developers around the
• 24:23
  Speaker 5: world that are that are creating these these models.
• 24:26
  Speaker 1: Okay Kin mentioned India early in the interview, and I
• 24:29
  Speaker 1: didn't want to cut him off, but I want but
• 24:31
  Speaker 1: I did want to add this fact to really validate
• 24:34
  Speaker 1: this story about they have a morning show in India.
• 24:38
  Speaker 1: It's hosted by one person that is completely AI generated,
• 24:42
  Speaker 1: and that's why actors are nervous about AI because if
• 24:48
  Speaker 1: you can create a morning show person that is not
• 24:51
  Speaker 1: even real, and this is what they benefit. They don't
• 24:54
  Speaker 1: call it sick. They don't have to pay for the
• 24:56
  Speaker 1: health benefits. They don't take vacation. And that is from
• 25:00
  Speaker 1: a business perspective. That's what people see the value of
• 25:04
  Speaker 1: AIM because of the fact that it doesn't complain. But
• 25:08
  Speaker 1: the program in place, that programmer can be on vacation,
• 25:11
  Speaker 1: that programmer can be in New York, that programmer can
• 25:13
  Speaker 1: be in the Heati, that programmer can be in Japan.
• 25:16
  Speaker 1: They're doing the work or they just switch off to
• 25:19
  Speaker 1: somebody else on another eight hour shift. And that person
• 25:22
  Speaker 1: who maybe if it becomes popular because they say this
• 25:25
  Speaker 1: AI generated character is very popular, can you don't have
• 25:29
  Speaker 1: to pay that person ten million dollars a year?
• 25:34
  Speaker 2: I think yeah, no, one hundred percent.
• 25:35
  Speaker 3: Yeah, right, when you're using software, when you're using AI, right,
• 25:39
  Speaker 3: we're talking about maybe protecting yourself from scams. So now
• 25:43
  Speaker 3: you not only have just like you know, traditionally you
• 25:46
  Speaker 3: had a person or a team working on trying to
• 25:48
  Speaker 3: develop these scams, but of AI working on it. This
• 25:51
  Speaker 3: thing's twenty four to seven and never sleeps, right, you know,
• 25:54
  Speaker 3: it's always coming, always improving and so right. I think
• 25:58
  Speaker 3: you need to give consumers use there's tools education to
• 26:01
  Speaker 3: protect themselves better in this new world.
• 26:04
  Speaker 1: Well, I'll tell you something, brother, I am. I get
• 26:08
  Speaker 1: on my email every day, I click on stuff, and
• 26:11
  Speaker 1: I had to educate myself. Ken. I had to go
• 26:13
  Speaker 1: and have my staff. It's just real. It's just real.
• 26:16
  Speaker 1: And finally with Rashaan stopped and I had to learn
• 26:19
  Speaker 1: the tricks. But of course when you learn a trick,
• 26:22
  Speaker 1: there's a better trick created, okay, And I'm just telling
• 26:25
  Speaker 1: my listeners. The reason I brought Ken on the show
• 26:28
  Speaker 1: is to say, here's free solutions that you can walk
• 26:31
  Speaker 1: in and use. And if you need more advanced from
• 26:34
  Speaker 1: a consumer standpoint or a business standpoint, they have a subscription.
• 26:38
  Speaker 1: As you said earlier, overlays, the easy detection, drag it
• 26:44
  Speaker 1: over to your software goes in there. You put overlays
• 26:47
  Speaker 1: on different software. I just know that this we all
• 26:49
  Speaker 1: know is not going away, can so we need to
• 26:52
  Speaker 1: just strap up to the reality of deal with it
• 26:55
  Speaker 1: so you can secure your money. So one day you
• 26:58
  Speaker 1: will open your bank account and all your minds are
• 27:00
  Speaker 1: going Am I righting air assessment?
• 27:03
  Speaker 2: Right? I think the first step is education.
• 27:06
  Speaker 3: Right, if you don't know that there's a problem, if
• 27:08
  Speaker 3: you're not aware of it, you can't you can't solve it.
• 27:11
  Speaker 2: But right, the velocity and the.
• 27:15
  Speaker 3: Improvement of generative AI, this is it's akin to cybersecurity, right,
• 27:20
  Speaker 3: like new security threats get created all the time and
• 27:23
  Speaker 3: the security.
• 27:24
  Speaker 5: Needs to adopt. And this is the same thing.
• 27:26
  Speaker 3: New AI will be generated at all times, and we're
• 27:29
  Speaker 3: in the game of continuously keeping up, trying.
• 27:32
  Speaker 2: To stay ahead. But to do that right, I.
• 27:36
  Speaker 3: Think we're close and very soon it will be impossible
• 27:40
  Speaker 3: to differentiate with the human eye what is AI generated
• 27:43
  Speaker 3: or what is not.
• 27:44
  Speaker 1: Absolutely, that's why we need your show. That's why it's
• 27:47
  Speaker 1: going to be. We need your company to be at
• 27:48
  Speaker 1: the front of it all. Bid Mind again, tell everybody
• 27:51
  Speaker 1: how we can go there see what you're doing on
• 27:54
  Speaker 1: your website. So I'll make a and also download Chrome
• 27:58
  Speaker 1: the app.
• 28:02
  Speaker 3: Go to the detector dot ai. Repeat the detector dot ai.
• 28:08
  Speaker 3: That's our web application. And then if you want to
• 28:11
  Speaker 3: have the kind of like interactive Chrome extension, go to
• 28:14
  Speaker 3: the Chrome web store type in AI detector or bitmind.
• 28:18
  Speaker 3: It'll pop up and you can download it and then
• 28:21
  Speaker 3: right information will be overlaid on your screen. Whether this
• 28:25
  Speaker 3: image or video you're looking at it either AI generated
• 28:28
  Speaker 3: or fake.
• 28:29
  Speaker 1: Yeah, he has a James Bond Type nine Ken John
• 28:32
  Speaker 1: at but he's a superstar in the field of protection,
• 28:36
  Speaker 1: especially cybersecurity. Deep fake. The reality is that it's coming.
• 28:41
  Speaker 1: If you don't believe it, then go to his website
• 28:44
  Speaker 1: google stuff. But again, if you google it, now, remember
• 28:47
  Speaker 1: they're in the business of deep faith too. So again,
• 28:49
  Speaker 1: let's go to a place or find a home that
• 28:51
  Speaker 1: will be decentralized and give us an opportunity to see
• 28:55
  Speaker 1: the truth. Thank you Ken for coming on Money Making
• 28:57
  Speaker 1: Conversations Masterclass and allow myself to storyteller talk to a
• 29:01
  Speaker 1: subject matter expert like you.
• 29:04
  Speaker 2: Rashan, thank you so much for having me Ma, I
• 29:05
  Speaker 2: appreciate it.
• 29:06
  Speaker 1: This has been another edition of Moneymaking Conversation Masterclass posted
• 29:10
  Speaker 1: by me Rushawn McDonald. Thank you to our guests on
• 29:13
  Speaker 1: the show today and thank you for listening to the
• 29:15
  Speaker 1: audience now. If you want to listen to any episode
• 29:18
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• 29:20
  Speaker 1: Moneymakingconversations dot com. Our social media handle is money Making Conversation.
• 29:25
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• 29:28
  Speaker 1: your gifts. Keep winning,