Two-time Emmy and Three-time NAACP Image Award-winning television Executive Producer Rushion McDonald interviewed Ken Jon Miyachi.
He is the Co-Founder and CEO of BitMind—the world's first decentralized Artificial Intelligence (AI) Deepfake Detection System. Ken is an authority on how people can protect themselves using free solutions. He can provide:
● Live demonstrations of real vs. AI-generated content
● Simple steps your readers can take to verify suspicious images
● Insights on the latest AI scam tactics and how to avoid them
● Examples of recent cases where these tools could have prevented fraud
● Live demonstration of deepfake detection system
● Practical tips for viewers to protect themselves from AI scams
● Analysis of why traditional verification methods are failing
● Solutions for the future of AI fraud prevention
Prior to founding BitMind, Miyachi served as a Senior Software Engineer at leading organizations such as NEAR Foundation, Amazon, and Polymer Labs, where he honed his expertise in scalable technology solutions. He studied computer science at UCSD where he conducted research at the San Diego Supercomputer Center.
Company Description *
The award-winning BitMind technology providesAC awareness and protection against evolving threats, adapting in real-time to new ACAI developments. BitMind, has created a suite of free apps and tools allowing users to instantly detect AI-generated images before people fall victim to misinformation and deception.
The company offers a range of innovative solutions that democratize and accelerate open-source AI, with a core focus on Decentralized AI Networks. The company, focused on the Bittensor protocol, provides compute, developer tooling, and integration services that enable users to fully harness the power of a Decentralized all-in-one AI platform.
For both B2C and B2B use, BitMind, has created a suite of free apps and tools that can instantly detect AI-generated images before people fall victim. These tools are free and accessible to anyone, and include:
AI Detector App: A simple website where users can drag-and-drop suspicious images for fast deepfake detection results;
Chrome Extension: Flags AI-created content in real-time, while browsing. See video examples of how it works here and here;
X Bot: Verifies if images on X/Twitter are real or AI-generated;
Discord Bot: Verifies if images are real or AI-generated via its Discord Integration;
AI or Not Game: Fun Telegram bot that tests your ability to distinguish between AI-generated and human-created images.
In February 2025, BitMind won the Best Infrastructure Prize at the Coinbase Developer Platform Hackathon for its decentralized reputation system. The system provides real-time verification of AI claims through blockchain technology, integrating Coinbase CDP, Virtuals.io, and Opacity Network. The solution enables on-chain reward distribution and trust share trading via the Ethos Network, while featuring custom Bittensor plugins for Eliza and Virtuals platforms.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Hi, I am Rashaun McDonald, our host this weekly Money
Making Conversation Masterclass show. The interviews and information that this
show provides off for everyone. It's time to start reading
other people's success stories and start living your own. If
you want to be a guest on my show, please
visit our website, Moneymakingconversations dot com and click to be
a guest button to submit your information. My guest is
(00:21):
the co founder and CEO of Bitmind, the world's first
decentralized artificial intelligence AI. As they say, deep fake detection system.
Me again, deep fake detection system. He's an authority on
how people can protect themselves using free solutions that they create.
Please welcome to Money Making Conversation Masterclass. Ken John Biachi
(00:46):
Hei you doing.
Speaker 2 (00:46):
Sir, doing well? Thanks for having me.
Speaker 1 (00:49):
First of all, deep fake AI? I say about the
last five years, you know, I've been hearing a lot
of it. I'm a writer, Hollywood writer, so a major
poor that strike was about AI and a major portion
of conversation is in the acting game is AI? What
is your take on all that? Before we get to
(01:11):
your company, because I'm sure that inspired you to do
all this software creation to be able to detect AI
and deep fake.
Speaker 2 (01:21):
Yeah, one hundred percent.
Speaker 3 (01:22):
So I think as many people have experienced over the past,
you know, two to three years, Jenner of AI has
really taken off, right. It started with chat, GPT, but
then you're getting into images, video, audio, et cetera.
Speaker 2 (01:38):
And we went from you know, maybe two years.
Speaker 3 (01:39):
Ago will that Will Smith eating pastave video looked absolutely
terrible to now some extremely hyper realistic images, video, et cetera.
And so it's it's really affected almost every aspect of
our life, but specifically kind of the creative, the news,
just stribution fields, et cetera. And so it's very difficult
(02:06):
two kind of think about AI in the current constructs
that we have right now, IP protection, image and likeness,
et cetera. Where you know, now with the proliferation of
these tools, you can just hey, create you know, a voice,
an image of video of someone, use it to promote
your your your thing, or create you know, having them
(02:30):
do whatever and have it fit in that world. So
it's a very complicated space, but something that will definitely
need to be figured out, especially as AI gets better
and better.
Speaker 4 (02:39):
Now, give me your background, are you your education level
or training to go into this lane before we get
into more detail.
Speaker 3 (02:52):
Yeah, so studied computer science at University of California, San Diego.
Was really interested in you know, kind of traditionally studied,
but got really into the blockchain space. When I was
attending my undergrad I decided to start a company in
the crypto space. And then after that I worked in
more traditional AI at Amazon for a couple of years,
like think about like recommendation systems for buying products. And
(03:15):
then after my time there, I worked at a layer
one blockchain called Near, and the founder of Near was
actually the original author on the paper Attention is All
You Need, which is the kind of fundamental building blocks
of these lms it's called the Transformer. Was exposed to
a lot of this kind of intersection of AI and
(03:36):
crypto there, and then towards the end of twenty twenty three,
I was you know, doing a lot of research for them,
looking at new projects, and felt like this protocol that
we're building on right now, Bittenser was extremely fascinating and
interesting to start a company on. But then also that
there was some really you know, critical important problems to
(04:00):
tackle that that were like existential and and and kind
of made the jump to go back in the entrepreneurship game.
Speaker 1 (04:08):
That ken, I hear forty hour week, I have forty
hour a week. I have forty hour a week. Now
you're an entrepreneur. Now. A lot of people when they
make that transition, there's a lot of thought process goes
into a lot of fear that goes into it. Talk
me through those steps of going from mister forty hour week,
mister guaranteed check, mister health benefits to mister independent.
Speaker 3 (04:29):
Yeah, definitely, definitely an interesting jump.
Speaker 2 (04:33):
So I think ever since I was young.
Speaker 3 (04:36):
I was always very motivated to go into entrepreneurship, start
my own thing, have ownership, and I was I was
kind of against working at you know, a fang, a
large tech company, But after my first endeavor in the
entrepreneurship game, I was like, hey, I think maybe this
could be a good opportunity to get experience, learn from
(04:57):
other really amazing engineers, learn these processes, and I always
had the itch to get back in. And so for me,
it was more of like, you know, I wanted to
do it for a while, and I have one hundred
percent belief in myself, and so like I wasn't you know,
it actually wasn't too hard for me. It was more like, hey,
(05:19):
you know, this is an idea, an opportunity that I
have extremely high conviction in. I didn't want to start
something just to start something because I wanted to. I
was kind of like, you know, looking waiting for an idea,
and once it came about, I was I.
Speaker 2 (05:31):
Was one hundred percent on in.
Speaker 3 (05:32):
And then it's really about convincing kind of your loved
ones and people you're relying on, you know, my girlfriend,
my family.
Speaker 1 (05:39):
Ability. They see hike, they see stability, they see dreamer,
they see stability. Go hey, brother, are you crazy?
Speaker 2 (05:48):
Now?
Speaker 1 (05:48):
Bit mine? Okay, See that's where I'm with in this conversation. Okay,
do you start a company called bitmine with the idea
you're going to make money? How do you do that?
How does one in your mind can because I get
the fact if you have a product, you know, because
this is really a lot of the software design, a
(06:09):
lot of people can't see that. You know, if you
design a car, it drives down the street. You make
some bread, you can go eat it. You know, you
open a restaurant, you can sit down and be served.
Now your company doesn't do that. How were you able
to in your mind understand the profit laws or the
p and L on this opportunity.
Speaker 3 (06:28):
Yeah, great, great question. So kind of as you mentioned,
if you're in like, you know, a physical products or
hardware engineering as like as you mentioned cars, there's a
little more of an obvious p and L business model
around this type of stuff. In software, it's definitely, I
don't want to say a little more opaque, but there's
(06:48):
a little bit more design space and how you design
your like revenue model and your business model, et cetera.
When I looked at this, right, there was a couple
of different things. So the first one is that by
participating in this network that I mentioned Bittensor, which I
decided to build the company on, if you perform well
and you create essentially powerful AI models, powerful intelligence, then
(07:13):
you get emissions from the network, and so you're earning
cryptocurrency which allows you to bootstrap.
Speaker 5 (07:19):
And expand your business.
Speaker 3 (07:21):
But then the second piece is really what is this
business model around defake detection? So I thought that TAM
was actually pretty big there, Right, you have billions of
dollars getting pumped into generative AI, and maybe at the
time it was less than two hundred million. Kind of
that was invested into defake detection or kind of like
(07:44):
detection models and.
Speaker 1 (07:45):
So security, right, so exactly you develop a security system.
Speaker 3 (07:50):
Essentially, yes, So like cybersecurity for AI is like definitely
a good mental model to think about it. And what
I thought is because of all this money is going
into genera of AI, I felt like this was such
an existential problem for really humanity.
Speaker 2 (08:03):
You know, what.
Speaker 3 (08:04):
Happens when you can't differentiate between what is real and
what is not. There's already a huge deterioration of trust
in traditional media of news that is being consumed, and
what happens to just human communication when you know you
not only are being skeptical and don't know what you're
(08:25):
looking at whenever you're browsing the internet, but just you know,
even like you're not only questioning fake things like hey
is this fake? But like you'll see something AI generated
and you're like, is it real? It goes both ways.
And I felt like because of that essential need, there
was essentially a path to get distribution and consumption of
(08:46):
this good. And then there's a lot of really interesting
business models in the software space, Like you know, if
you get a lot of consumption, you could have a
freemium premium to your model. You could do what kind
of Google does incorporate ads. If you have a lot
of users in consumption, you could create a SaaS API service.
Speaker 2 (09:03):
There was a lot of different avenues.
Speaker 3 (09:05):
There to create a powerful and sustainable revenue and business
model around this stuff. But the first step is always consumption.
You need a lot of users. You need to make
an impactful product that people want.
Speaker 1 (09:17):
Okay, now can't I'm trying to hang in it with you. Now,
Bill's got to be paid, okay, And this is money
making conversations, mastic Land. Now you say software, you say crypto.
How are you generating revenue to be able to maintain
an everyday lifestyle, keep the lights on, go out to launch,
keep gas in the car, or if you have an
(09:38):
e car, charge it up. How's that happening with this
business model and this company you created called bitmind.
Speaker 3 (09:45):
Yeah, so we essentially have three ways where we're you know,
funding our operational expenses and paying salaries, et cetera. So
the first one is that we we did raise venture
funding there you right, So like that, yeah, that's the
most basic one, and like you know that that was
a big level of confidence of me diving into it.
Speaker 2 (10:04):
You know, I was going when.
Speaker 1 (10:05):
We did a VC funding, did you have to give
away a portion of your company a percentage?
Speaker 2 (10:09):
Correct? Correct? Yes.
Speaker 3 (10:12):
And then the second one is kind of the two
levers I mentioned, But the first one is essentially revenue
from cryptocurrency emissions. So like, right, by participating in this
network building contributing AI models to this network, you earn cryptocurrency,
which is called tao. And then the third one is
we have a variety of products and services that essentially
(10:35):
have subscriptions subscription fees, and so we're generating like revenue
through those three I guess, not revenue, but the second two, right,
the cryptocurrencury emissions and then the subscription revenues, and then
we're kind of putting all of that actually back into
the business. Right now, we're trying to grow, we're trying
to expand our market share, our mind share, and we're
(10:56):
funding kind of our operational expenses off of the funding
that we raised.
Speaker 1 (11:01):
Now, yours is not because you mentioned earlier. You know,
the chat GPT, which is the I guess you could
say detects or the form of AI because they used
a lot you Google, you go to Google and go
some of the platform there and ask the question, and
they're basically using chat GPT to give you an answer.
(11:24):
And so, now, but your video your de fake. You're
the deep fake get video guy. That's what I'm just
calling out in this sparticular conversation. Now, you said I
said this in your intro. You know, the world's first
decentralized artificial intelligence or AI deep fake detection system. You're
an authority on how people can protect themselves. This is
(11:45):
about security protection using free solutions. Let's discuss those free
solutions because the word free always catches everybody here. So
let's go with the free solutions first, kid, before we
get to the subscriptions.
Speaker 2 (11:58):
Okay, yeah, yea.
Speaker 3 (12:00):
So maybe to draw comparison to chat GPT, right, if
you put an image or a video into chat GPT
and you say, hey, is this AI generated or not?
It can't tell you. It will give you an answer
on that, right, And so it's like, okay, can we
help people really make a you know, a determination, help
help educate users and keep them protected. And so we
(12:21):
have two kind of core products right now that help
users use This is the first one is a website
called thedetector dot ai. You go to it, you can
drag and drop an image or in a video, and
then it will give you a essentially classification whether it's
real or AI generated with some confidence score. And the
second one, we have a browser extension that while you're
(12:43):
scrolling Twitter, while you're scrolling any news website, any website
at all, if you hover over any image or video,
it will get processed and overlay like you know, basically
a little green check mark or like a robot looking thing,
and say, hey, is this AI generated or is this realm?
Speaker 6 (13:01):
Please don't go anywhere. We'll be right back with more
Money Making Conversations Masterclass. Welcome back to the Money Making
Conversations Masterclass, hosted by Rashaan McDonald.
Speaker 1 (13:21):
Now, now we're going downs coming to the consumers everyday,
people like me. I'm just on the internet. I guess
I'm thinking about elections. I probably want to know if
did Trump really say that, or did Biden say that,
Kamala Harris say that, or Jeffries that part of the
(13:41):
conversation or Putin did he say that? Because AI fakes
are international, so as a consumer, is that the only
areas I should be concerned? About fake videos. Is in
the political arena or there other arenas that I need
to be opening my eyes up for can to come
(14:01):
and start at least using your free solutions.
Speaker 3 (14:07):
Yes, there's definitely many other areas, but that is a
very large one, right right. One of the reasons why
we started this was like, hey, one decentralized AI. It
sounds very, very buzzworthy, but dee fakes. I think a
lot of everyday consumers understand that. And this was started
at the beginning of twenty twenty four. And really what
(14:29):
was fascinating about twenty twenty four was it was the
first year of the first election cycle in the age
of AI, right right, maybe Obama's you know, ever since
two thousand and eight, there were some elections in the
age of social media, but this was really the first
one where AI was being proliferated throughout society. And the
thesis was, hey, AI is really going to affect this
(14:53):
upcoming election cycle. And I think we saw that play out.
So it's not only the US elections, but India had
their elections, Tai had their elections, and actually in those
countries where the regulations are slightly different, there was a
report that over fifty million dollars was invested in generating
AI content in India, both for like malicious reasons for
(15:14):
the opposing candidate and to make themselves look good and
then right for the US ones, it played out really interesting.
There was a couple really important deep fake videos that
came out. There was an accusation of Tim Waltz being
like for sexual abuse and that ended up being a defake, right,
But a lot of it was actually used in satire
(15:35):
and humor, like you know, Elon posting Vice President Harris
and you know at the time like in you know,
kind of propaganda Garbin and stuff like that.
Speaker 2 (15:46):
So I think that highly critical.
Speaker 3 (15:48):
You know, information is really important, but the other use
cases are are pretty broad, right. I think one of
the main ones that is really critical is kind of
financial fraud and abuse. So there's a lot of There's
been a lot of scams recently that have been popularized
in the news, Like Tom Hanks was selling some health
(16:08):
medicine and it was using his likeness and his voice
to do that. There was a scam for Joe Biden
not running but essentially promoting a charity or a foundation
that ended up being being fake. And then a really
big one in I believe it was in London where
(16:29):
this was actually an audio and it was very sophisticated,
but they basically faked being. They faked the voice of
a large client and they were able to get the
bank to send over fifty million dollars to an unverified account.
And so you have like this huge sector of financial
and then you have like a variety of other things,
but maybe the most tangible one is right now, there's
(16:52):
a lot of e commerce that's fake. So think Temu,
think Ali Baba, even think Amazon right, people selling fake products.
There was a really funny viral kind of story that
came out like there was a large couch that looked
like a gorilla, and you know they were selling it
for like five hundred dollars and people were buying it,
(17:15):
but you know it was AI generated and you know
it wasn't It wasn't that product. So I think there's
there's honestly unlimited angles of just consumer protection where hey,
anything that you could there's incentive to to confuse, uh
scam the user with AI right, you can be protected
(17:36):
right with with verified I'm daism.
Speaker 1 (17:39):
You know, you get Bank of America coming in American Express.
You don't know if it's an American Express. It looks like
an American Express, and do you click it. You have
to click that email and see if it's a Gmail
or some outlook created American Express. All getting like I
got an email the other day, said email that email
PayPal dot com. Okay, just because of that PayPal and that,
(18:01):
but then an email in front of it, I knew
that was a fake. So we're being hit so many
different times with this. Of course, you know the generation
that is most vulnerable to this is the very young
and the very old in this process, and then in
the business side, like you said, the banking industry that
was a fifty million dollars heist. Basically, we can say
(18:24):
coming out there, so how do you get bidmine in
front of all this ken to be able to say, hey,
we're over here, we can help you, we can help you. Okay,
we got we got the software over here. How do
you from a marketing and branding standpoint, how do you
cut through the clutter and market your brand?
Speaker 4 (18:44):
Yeah?
Speaker 3 (18:44):
So from a marketing standpoint, very simply, we have the
best defake detection solution in the world right now that's
available to consumers so there's a variety of other competitors
in the space, but most of them are offering you know,
enterprise government, contract related software. And what we're saying is, hey,
we want to go direct to consumer. Right, these scams
(19:05):
are coming more and more sophisticated. What you mentioned with
the email stuff, So this is a field, right, it's
called b EC Business Email compromise scams that is over
a one billion dollar per year industry and only rising
fast and getting more and more sophisticated with with these
AI tools. And now that these AI generate AI tools
(19:27):
are so they're so easy to access, it's extremely you know,
the barrier of entry is low. You don't need to
be a sophisticated software engineer. You can like, you know,
go on a website and generate someone's voids, or go
on a website and generate a video of someone where
they're just becoming more and more difficult to spot. And
so how bitmind gets ahead of it is kind of
(19:49):
like the basically the tools that we're building are saying, hey,
anything that is touching.
Speaker 5 (19:54):
You, you know, you utilize a tool to basically.
Speaker 2 (19:58):
Do an initial check on it.
Speaker 3 (20:00):
You know, when a phone call is coming in can
you verify the number when you're looking at any news
or content on Twitter, can it identify whether it's AI
generated or not? You know, an enterprise solution in the
future could be related to emails, you know, basically, like
you can think of even its scraping your emails and
like anything that is flagged from like something that's you know,
(20:21):
AI looking or malicious looking it going to a certain
folder or flagging it in a certain way, but really
trying to be proactive in informing the user of what.
Speaker 2 (20:34):
Is AI generated or not and what we really believe in.
Speaker 3 (20:37):
There's like a lot of there's a lot of discussion
right now in regulation and I'm definitely in the opinion of,
like I think that could be a slippery slope of
kind of going down anti free speech.
Speaker 5 (20:51):
What you want to do is give consumers the tools.
Speaker 3 (20:56):
The education to be able to make their decisions and
protect them if they don't want to view it at all, they.
Speaker 2 (21:01):
Want to be very secure.
Speaker 3 (21:02):
You know, you can do this, but if you want
to be able to look at what you're viewing but
make the determination for yourself whether it's AI generator or not,
just have the information displayed to you so that you
can make that decision.
Speaker 1 (21:12):
Okay, cool, I'm talking to my guests is the co
founder and CEO Bitmind, the world's first decentralized artificial intelligence
AI deep fake detection system. Now where could we go?
We talked about free solution, but I have not given
anybody a website location or a number talk about how
we can access these free solutions or these subscriptions.
Speaker 3 (21:35):
Yeah, so the first website, go to the detector dot ai.
That is our web application where you can drag and
drop images and videos. More time, repeat that thedetector dot ai.
And then the second one is go to the Chrome
web Store. You know, there's plenty of Chrome extensions out there,
but go to the Chrome web Store and just look up.
(21:57):
Just look up bitmind or AI detector and will be
the first one that popped it up. We're featured on
the on the Chrome web Store right now. And that
is the browser extension where it will overlay information on
your web page as we're scrolling the internet, looking at News,
looking at Twitter, looking at your social websites.
Speaker 2 (22:16):
Et cetera.
Speaker 1 (22:16):
Now you know, Ken, this is the fear factor. Now
you you proclaimed clear, You're not IBM, You're not Google
you're not Apple, You're not some big company named quote
unquote we trust you know, we thought we trusted TikTok,
and they told us it's spying on us. We can't
even put their own government computers.
Speaker 3 (22:37):
That is that is an absolutely great question and another
reason why we started this. So, right, if you have
maybe it's a start, if you have Google or Apple
or any of these companies telling you that like, hey,
this is this is AI or this is not.
Speaker 5 (22:54):
This is a huge conflict of interest for these companies.
They're the ones generating the content.
Speaker 3 (22:59):
So how you're gonna be the one generating the content
and telling it it's us if it's ar fake and
you already see, like you know, these big companies being influenced,
you know, in certain ways or another. And then right,
you mentioned TikTok as well. So what bitmin does and
the reason this is the reason why it's decentralized. We
talk about, you know, the first decentralized AI defake detection tool.
(23:19):
The decentralized piece is what really is the necessary aspect
that incorporates the trust and it also improves the performance.
So basically, what we have running is a competition from
AI developers around the world to create the best defake
detection models, and they also get paid for doing this.
Speaker 5 (23:39):
And then so when you use our applications, you're not
getting the detection from just one single model. You're actually
getting a detection from over two hundred different models at
any given time. And then what is being displayed to
the end user is the aggregation or the average of
all those models. So by decentralizing it and saying, hey,
(24:00):
we're not going to just like use one solution that
could be overfitted have biases, We're using hundreds of models
at a time, so that that bias that trust. If
any single model is trying to, you know, do something malicious,
it won't matter in this whole average, and you're just
trusting this aggregated, decentralized competition of AI developers around the
(24:23):
world that are that are creating these these models.
Speaker 1 (24:26):
Okay Kin mentioned India early in the interview, and I
didn't want to cut him off, but I want but
I did want to add this fact to really validate
this story about they have a morning show in India.
It's hosted by one person that is completely AI generated,
and that's why actors are nervous about AI because if
(24:48):
you can create a morning show person that is not
even real, and this is what they benefit. They don't
call it sick. They don't have to pay for the
health benefits. They don't take vacation. And that is from
a business perspective. That's what people see the value of
AIM because of the fact that it doesn't complain. But
(25:08):
the program in place, that programmer can be on vacation,
that programmer can be in New York, that programmer can
be in the Heati, that programmer can be in Japan.
They're doing the work or they just switch off to
somebody else on another eight hour shift. And that person
who maybe if it becomes popular because they say this
AI generated character is very popular, can you don't have
(25:29):
to pay that person ten million dollars a year?
Speaker 2 (25:34):
I think yeah, no, one hundred percent.
Speaker 3 (25:35):
Yeah, right, when you're using software, when you're using AI, right,
we're talking about maybe protecting yourself from scams. So now
you not only have just like you know, traditionally you
had a person or a team working on trying to
develop these scams, but of AI working on it. This
thing's twenty four to seven and never sleeps, right, you know,
it's always coming, always improving and so right. I think
(25:58):
you need to give consumers use there's tools education to
protect themselves better in this new world.
Speaker 1 (26:04):
Well, I'll tell you something, brother, I am. I get
on my email every day, I click on stuff, and
I had to educate myself. Ken. I had to go
and have my staff. It's just real. It's just real.
And finally with Rashaan stopped and I had to learn
the tricks. But of course when you learn a trick,
there's a better trick created, okay, And I'm just telling
(26:25):
my listeners. The reason I brought Ken on the show
is to say, here's free solutions that you can walk
in and use. And if you need more advanced from
a consumer standpoint or a business standpoint, they have a subscription.
As you said earlier, overlays, the easy detection, drag it
over to your software goes in there. You put overlays
(26:47):
on different software. I just know that this we all
know is not going away, can so we need to
just strap up to the reality of deal with it
so you can secure your money. So one day you
will open your bank account and all your minds are
going Am I righting air assessment?
Speaker 2 (27:03):
Right? I think the first step is education.
Speaker 3 (27:06):
Right, if you don't know that there's a problem, if
you're not aware of it, you can't you can't solve it.
Speaker 2 (27:11):
But right, the velocity and the.
Speaker 3 (27:15):
Improvement of generative AI, this is it's akin to cybersecurity, right,
like new security threats get created all the time and
the security.
Speaker 5 (27:24):
Needs to adopt. And this is the same thing.
Speaker 3 (27:26):
New AI will be generated at all times, and we're
in the game of continuously keeping up, trying.
Speaker 2 (27:32):
To stay ahead. But to do that right, I.
Speaker 3 (27:36):
Think we're close and very soon it will be impossible
to differentiate with the human eye what is AI generated
or what is not.
Speaker 1 (27:44):
Absolutely, that's why we need your show. That's why it's
going to be. We need your company to be at
the front of it all. Bid Mind again, tell everybody
how we can go there see what you're doing on
your website. So I'll make a and also download Chrome
the app.
Speaker 3 (28:02):
Go to the detector dot ai. Repeat the detector dot ai.
That's our web application. And then if you want to
have the kind of like interactive Chrome extension, go to
the Chrome web store type in AI detector or bitmind.
It'll pop up and you can download it and then
right information will be overlaid on your screen. Whether this
(28:25):
image or video you're looking at it either AI generated
or fake.
Speaker 1 (28:29):
Yeah, he has a James Bond Type nine Ken John
at but he's a superstar in the field of protection,
especially cybersecurity. Deep fake. The reality is that it's coming.
If you don't believe it, then go to his website
google stuff. But again, if you google it, now, remember
they're in the business of deep faith too. So again,
let's go to a place or find a home that
(28:51):
will be decentralized and give us an opportunity to see
the truth. Thank you Ken for coming on Money Making
Conversations Masterclass and allow myself to storyteller talk to a
subject matter expert like you.
Speaker 2 (29:04):
Rashan, thank you so much for having me Ma, I
appreciate it.
Speaker 1 (29:06):
This has been another edition of Moneymaking Conversation Masterclass posted
by me Rushawn McDonald. Thank you to our guests on
the show today and thank you for listening to the
audience now. If you want to listen to any episode
I want to be a guest on the show, visit
Moneymakingconversations dot com. Our social media handle is money Making Conversation.
Join us next week and remember to always leave with
(29:28):
your gifts. Keep winning,
Hi, I am Rashaun McDonald, our host this weekly Money
Making Conversation Masterclass show. The interviews and information that this
show provides off for everyone. It's time to start reading
other people's success stories and start living your own. If
you want to be a guest on my show, please
visit our website, Moneymakingconversations dot com and click to be
a guest button to submit your information. My guest is
(00:21):
the co founder and CEO of Bitmind, the world's first
decentralized artificial intelligence AI. As they say, deep fake detection system.
Me again, deep fake detection system. He's an authority on
how people can protect themselves using free solutions that they create.
Please welcome to Money Making Conversation Masterclass. Ken John Biachi
(00:46):
Hei you doing.
Speaker 2 (00:46):
Sir, doing well? Thanks for having me.
Speaker 1 (00:49):
First of all, deep fake AI? I say about the
last five years, you know, I've been hearing a lot
of it. I'm a writer, Hollywood writer, so a major
poor that strike was about AI and a major portion
of conversation is in the acting game is AI? What
is your take on all that? Before we get to
(01:11):
your company, because I'm sure that inspired you to do
all this software creation to be able to detect AI
and deep fake.
Speaker 2 (01:21):
Yeah, one hundred percent.
Speaker 3 (01:22):
So I think as many people have experienced over the past,
you know, two to three years, Jenner of AI has
really taken off, right. It started with chat, GPT, but
then you're getting into images, video, audio, et cetera.
Speaker 2 (01:38):
And we went from you know, maybe two years.
Speaker 3 (01:39):
Ago will that Will Smith eating pastave video looked absolutely
terrible to now some extremely hyper realistic images, video, et cetera.
And so it's it's really affected almost every aspect of
our life, but specifically kind of the creative, the news,
just stribution fields, et cetera. And so it's very difficult
(02:06):
two kind of think about AI in the current constructs
that we have right now, IP protection, image and likeness,
et cetera. Where you know, now with the proliferation of
these tools, you can just hey, create you know, a voice,
an image of video of someone, use it to promote
your your your thing, or create you know, having them
(02:30):
do whatever and have it fit in that world. So
it's a very complicated space, but something that will definitely
need to be figured out, especially as AI gets better
and better.
Speaker 4 (02:39):
Now, give me your background, are you your education level
or training to go into this lane before we get
into more detail.
Speaker 3 (02:52):
Yeah, so studied computer science at University of California, San Diego.
Was really interested in you know, kind of traditionally studied,
but got really into the blockchain space. When I was
attending my undergrad I decided to start a company in
the crypto space. And then after that I worked in
more traditional AI at Amazon for a couple of years,
like think about like recommendation systems for buying products. And
(03:15):
then after my time there, I worked at a layer
one blockchain called Near, and the founder of Near was
actually the original author on the paper Attention is All
You Need, which is the kind of fundamental building blocks
of these lms it's called the Transformer. Was exposed to
a lot of this kind of intersection of AI and
(03:36):
crypto there, and then towards the end of twenty twenty three,
I was you know, doing a lot of research for them,
looking at new projects, and felt like this protocol that
we're building on right now, Bittenser was extremely fascinating and
interesting to start a company on. But then also that
there was some really you know, critical important problems to
(04:00):
tackle that that were like existential and and and kind
of made the jump to go back in the entrepreneurship game.
Speaker 1 (04:08):
That ken, I hear forty hour week, I have forty
hour a week. I have forty hour a week. Now
you're an entrepreneur. Now. A lot of people when they
make that transition, there's a lot of thought process goes
into a lot of fear that goes into it. Talk
me through those steps of going from mister forty hour week,
mister guaranteed check, mister health benefits to mister independent.
Speaker 3 (04:29):
Yeah, definitely, definitely an interesting jump.
Speaker 2 (04:33):
So I think ever since I was young.
Speaker 3 (04:36):
I was always very motivated to go into entrepreneurship, start
my own thing, have ownership, and I was I was
kind of against working at you know, a fang, a
large tech company, But after my first endeavor in the
entrepreneurship game, I was like, hey, I think maybe this
could be a good opportunity to get experience, learn from
(04:57):
other really amazing engineers, learn these processes, and I always
had the itch to get back in. And so for me,
it was more of like, you know, I wanted to
do it for a while, and I have one hundred
percent belief in myself, and so like I wasn't you know,
it actually wasn't too hard for me. It was more like, hey,
(05:19):
you know, this is an idea, an opportunity that I
have extremely high conviction in. I didn't want to start
something just to start something because I wanted to. I
was kind of like, you know, looking waiting for an idea,
and once it came about, I was I.
Speaker 2 (05:31):
Was one hundred percent on in.
Speaker 3 (05:32):
And then it's really about convincing kind of your loved
ones and people you're relying on, you know, my girlfriend,
my family.
Speaker 1 (05:39):
Ability. They see hike, they see stability, they see dreamer,
they see stability. Go hey, brother, are you crazy?
Speaker 2 (05:48):
Now?
Speaker 1 (05:48):
Bit mine? Okay, See that's where I'm with in this conversation. Okay,
do you start a company called bitmine with the idea
you're going to make money? How do you do that?
How does one in your mind can because I get
the fact if you have a product, you know, because
this is really a lot of the software design, a
(06:09):
lot of people can't see that. You know, if you
design a car, it drives down the street. You make
some bread, you can go eat it. You know, you
open a restaurant, you can sit down and be served.
Now your company doesn't do that. How were you able
to in your mind understand the profit laws or the
p and L on this opportunity.
Speaker 3 (06:28):
Yeah, great, great question. So kind of as you mentioned,
if you're in like, you know, a physical products or
hardware engineering as like as you mentioned cars, there's a
little more of an obvious p and L business model
around this type of stuff. In software, it's definitely, I
don't want to say a little more opaque, but there's
(06:48):
a little bit more design space and how you design
your like revenue model and your business model, et cetera.
When I looked at this, right, there was a couple
of different things. So the first one is that by
participating in this network that I mentioned Bittensor, which I
decided to build the company on, if you perform well
and you create essentially powerful AI models, powerful intelligence, then
(07:13):
you get emissions from the network, and so you're earning
cryptocurrency which allows you to bootstrap.
Speaker 5 (07:19):
And expand your business.
Speaker 3 (07:21):
But then the second piece is really what is this
business model around defake detection? So I thought that TAM
was actually pretty big there, Right, you have billions of
dollars getting pumped into generative AI, and maybe at the
time it was less than two hundred million. Kind of
that was invested into defake detection or kind of like
(07:44):
detection models and.
Speaker 1 (07:45):
So security, right, so exactly you develop a security system.
Speaker 3 (07:50):
Essentially, yes, So like cybersecurity for AI is like definitely
a good mental model to think about it. And what
I thought is because of all this money is going
into genera of AI, I felt like this was such
an existential problem for really humanity.
Speaker 2 (08:03):
You know, what.
Speaker 3 (08:04):
Happens when you can't differentiate between what is real and
what is not. There's already a huge deterioration of trust
in traditional media of news that is being consumed, and
what happens to just human communication when you know you
not only are being skeptical and don't know what you're
(08:25):
looking at whenever you're browsing the internet, but just you know,
even like you're not only questioning fake things like hey
is this fake? But like you'll see something AI generated
and you're like, is it real? It goes both ways.
And I felt like because of that essential need, there
was essentially a path to get distribution and consumption of
(08:46):
this good. And then there's a lot of really interesting
business models in the software space, Like you know, if
you get a lot of consumption, you could have a
freemium premium to your model. You could do what kind
of Google does incorporate ads. If you have a lot
of users in consumption, you could create a SaaS API service.
Speaker 2 (09:03):
There was a lot of different avenues.
Speaker 3 (09:05):
There to create a powerful and sustainable revenue and business
model around this stuff. But the first step is always consumption.
You need a lot of users. You need to make
an impactful product that people want.
Speaker 1 (09:17):
Okay, now can't I'm trying to hang in it with you. Now,
Bill's got to be paid, okay, And this is money
making conversations, mastic Land. Now you say software, you say crypto.
How are you generating revenue to be able to maintain
an everyday lifestyle, keep the lights on, go out to launch,
keep gas in the car, or if you have an
(09:38):
e car, charge it up. How's that happening with this
business model and this company you created called bitmind.
Speaker 3 (09:45):
Yeah, so we essentially have three ways where we're you know,
funding our operational expenses and paying salaries, et cetera. So
the first one is that we we did raise venture
funding there you right, So like that, yeah, that's the
most basic one, and like you know that that was
a big level of confidence of me diving into it.
Speaker 2 (10:04):
You know, I was going when.
Speaker 1 (10:05):
We did a VC funding, did you have to give
away a portion of your company a percentage?
Speaker 2 (10:09):
Correct? Correct? Yes.
Speaker 3 (10:12):
And then the second one is kind of the two
levers I mentioned, But the first one is essentially revenue
from cryptocurrency emissions. So like, right, by participating in this
network building contributing AI models to this network, you earn cryptocurrency,
which is called tao. And then the third one is
we have a variety of products and services that essentially
(10:35):
have subscriptions subscription fees, and so we're generating like revenue
through those three I guess, not revenue, but the second two, right,
the cryptocurrencury emissions and then the subscription revenues, and then
we're kind of putting all of that actually back into
the business. Right now, we're trying to grow, we're trying
to expand our market share, our mind share, and we're
(10:56):
funding kind of our operational expenses off of the funding
that we raised.
Speaker 1 (11:01):
Now, yours is not because you mentioned earlier. You know,
the chat GPT, which is the I guess you could
say detects or the form of AI because they used
a lot you Google, you go to Google and go
some of the platform there and ask the question, and
they're basically using chat GPT to give you an answer.
(11:24):
And so, now, but your video your de fake. You're
the deep fake get video guy. That's what I'm just
calling out in this sparticular conversation. Now, you said I
said this in your intro. You know, the world's first
decentralized artificial intelligence or AI deep fake detection system. You're
an authority on how people can protect themselves. This is
(11:45):
about security protection using free solutions. Let's discuss those free
solutions because the word free always catches everybody here. So
let's go with the free solutions first, kid, before we
get to the subscriptions.
Speaker 2 (11:58):
Okay, yeah, yea.
Speaker 3 (12:00):
So maybe to draw comparison to chat GPT, right, if
you put an image or a video into chat GPT
and you say, hey, is this AI generated or not?
It can't tell you. It will give you an answer
on that, right, And so it's like, okay, can we
help people really make a you know, a determination, help
help educate users and keep them protected. And so we
(12:21):
have two kind of core products right now that help
users use This is the first one is a website
called thedetector dot ai. You go to it, you can
drag and drop an image or in a video, and
then it will give you a essentially classification whether it's
real or AI generated with some confidence score. And the
second one, we have a browser extension that while you're
(12:43):
scrolling Twitter, while you're scrolling any news website, any website
at all, if you hover over any image or video,
it will get processed and overlay like you know, basically
a little green check mark or like a robot looking thing,
and say, hey, is this AI generated or is this realm?
Speaker 6 (13:01):
Please don't go anywhere. We'll be right back with more
Money Making Conversations Masterclass. Welcome back to the Money Making
Conversations Masterclass, hosted by Rashaan McDonald.
Speaker 1 (13:21):
Now, now we're going downs coming to the consumers everyday,
people like me. I'm just on the internet. I guess
I'm thinking about elections. I probably want to know if
did Trump really say that, or did Biden say that,
Kamala Harris say that, or Jeffries that part of the
(13:41):
conversation or Putin did he say that? Because AI fakes
are international, so as a consumer, is that the only
areas I should be concerned? About fake videos. Is in
the political arena or there other arenas that I need
to be opening my eyes up for can to come
(14:01):
and start at least using your free solutions.
Speaker 3 (14:07):
Yes, there's definitely many other areas, but that is a
very large one, right right. One of the reasons why
we started this was like, hey, one decentralized AI. It
sounds very, very buzzworthy, but dee fakes. I think a
lot of everyday consumers understand that. And this was started
at the beginning of twenty twenty four. And really what
(14:29):
was fascinating about twenty twenty four was it was the
first year of the first election cycle in the age
of AI, right right, maybe Obama's you know, ever since
two thousand and eight, there were some elections in the
age of social media, but this was really the first
one where AI was being proliferated throughout society. And the
thesis was, hey, AI is really going to affect this
(14:53):
upcoming election cycle. And I think we saw that play out.
So it's not only the US elections, but India had
their elections, Tai had their elections, and actually in those
countries where the regulations are slightly different, there was a
report that over fifty million dollars was invested in generating
AI content in India, both for like malicious reasons for
(15:14):
the opposing candidate and to make themselves look good and
then right for the US ones, it played out really interesting.
There was a couple really important deep fake videos that
came out. There was an accusation of Tim Waltz being
like for sexual abuse and that ended up being a defake, right,
But a lot of it was actually used in satire
(15:35):
and humor, like you know, Elon posting Vice President Harris
and you know at the time like in you know,
kind of propaganda Garbin and stuff like that.
Speaker 2 (15:46):
So I think that highly critical.
Speaker 3 (15:48):
You know, information is really important, but the other use
cases are are pretty broad, right. I think one of
the main ones that is really critical is kind of
financial fraud and abuse. So there's a lot of There's
been a lot of scams recently that have been popularized
in the news, Like Tom Hanks was selling some health
(16:08):
medicine and it was using his likeness and his voice
to do that. There was a scam for Joe Biden
not running but essentially promoting a charity or a foundation
that ended up being being fake. And then a really
big one in I believe it was in London where
(16:29):
this was actually an audio and it was very sophisticated,
but they basically faked being. They faked the voice of
a large client and they were able to get the
bank to send over fifty million dollars to an unverified account.
And so you have like this huge sector of financial
and then you have like a variety of other things,
but maybe the most tangible one is right now, there's
(16:52):
a lot of e commerce that's fake. So think Temu,
think Ali Baba, even think Amazon right, people selling fake products.
There was a really funny viral kind of story that
came out like there was a large couch that looked
like a gorilla, and you know they were selling it
for like five hundred dollars and people were buying it,
(17:15):
but you know it was AI generated and you know
it wasn't It wasn't that product. So I think there's
there's honestly unlimited angles of just consumer protection where hey,
anything that you could there's incentive to to confuse, uh
scam the user with AI right, you can be protected
(17:36):
right with with verified I'm daism.
Speaker 1 (17:39):
You know, you get Bank of America coming in American Express.
You don't know if it's an American Express. It looks like
an American Express, and do you click it. You have
to click that email and see if it's a Gmail
or some outlook created American Express. All getting like I
got an email the other day, said email that email
PayPal dot com. Okay, just because of that PayPal and that,
(18:01):
but then an email in front of it, I knew
that was a fake. So we're being hit so many
different times with this. Of course, you know the generation
that is most vulnerable to this is the very young
and the very old in this process, and then in
the business side, like you said, the banking industry that
was a fifty million dollars heist. Basically, we can say
(18:24):
coming out there, so how do you get bidmine in
front of all this ken to be able to say, hey,
we're over here, we can help you, we can help you. Okay,
we got we got the software over here. How do
you from a marketing and branding standpoint, how do you
cut through the clutter and market your brand?
Speaker 4 (18:44):
Yeah?
Speaker 3 (18:44):
So from a marketing standpoint, very simply, we have the
best defake detection solution in the world right now that's
available to consumers so there's a variety of other competitors
in the space, but most of them are offering you know,
enterprise government, contract related software. And what we're saying is, hey,
we want to go direct to consumer. Right, these scams
(19:05):
are coming more and more sophisticated. What you mentioned with
the email stuff, So this is a field, right, it's
called b EC Business Email compromise scams that is over
a one billion dollar per year industry and only rising
fast and getting more and more sophisticated with with these
AI tools. And now that these AI generate AI tools
(19:27):
are so they're so easy to access, it's extremely you know,
the barrier of entry is low. You don't need to
be a sophisticated software engineer. You can like, you know,
go on a website and generate someone's voids, or go
on a website and generate a video of someone where
they're just becoming more and more difficult to spot. And
so how bitmind gets ahead of it is kind of
(19:49):
like the basically the tools that we're building are saying, hey,
anything that is touching.
Speaker 5 (19:54):
You, you know, you utilize a tool to basically.
Speaker 2 (19:58):
Do an initial check on it.
Speaker 3 (20:00):
You know, when a phone call is coming in can
you verify the number when you're looking at any news
or content on Twitter, can it identify whether it's AI
generated or not? You know, an enterprise solution in the
future could be related to emails, you know, basically, like
you can think of even its scraping your emails and
like anything that is flagged from like something that's you know,
(20:21):
AI looking or malicious looking it going to a certain
folder or flagging it in a certain way, but really
trying to be proactive in informing the user of what.
Speaker 2 (20:34):
Is AI generated or not and what we really believe in.
Speaker 3 (20:37):
There's like a lot of there's a lot of discussion
right now in regulation and I'm definitely in the opinion of,
like I think that could be a slippery slope of
kind of going down anti free speech.
Speaker 5 (20:51):
What you want to do is give consumers the tools.
Speaker 3 (20:56):
The education to be able to make their decisions and
protect them if they don't want to view it at all, they.
Speaker 2 (21:01):
Want to be very secure.
Speaker 3 (21:02):
You know, you can do this, but if you want
to be able to look at what you're viewing but
make the determination for yourself whether it's AI generator or not,
just have the information displayed to you so that you
can make that decision.
Speaker 1 (21:12):
Okay, cool, I'm talking to my guests is the co
founder and CEO Bitmind, the world's first decentralized artificial intelligence
AI deep fake detection system. Now where could we go?
We talked about free solution, but I have not given
anybody a website location or a number talk about how
we can access these free solutions or these subscriptions.
Speaker 3 (21:35):
Yeah, so the first website, go to the detector dot ai.
That is our web application where you can drag and
drop images and videos. More time, repeat that thedetector dot ai.
And then the second one is go to the Chrome
web Store. You know, there's plenty of Chrome extensions out there,
but go to the Chrome web Store and just look up.
(21:57):
Just look up bitmind or AI detector and will be
the first one that popped it up. We're featured on
the on the Chrome web Store right now. And that
is the browser extension where it will overlay information on
your web page as we're scrolling the internet, looking at News,
looking at Twitter, looking at your social websites.
Speaker 2 (22:16):
Et cetera.
Speaker 1 (22:16):
Now you know, Ken, this is the fear factor. Now
you you proclaimed clear, You're not IBM, You're not Google
you're not Apple, You're not some big company named quote
unquote we trust you know, we thought we trusted TikTok,
and they told us it's spying on us. We can't
even put their own government computers.
Speaker 3 (22:37):
That is that is an absolutely great question and another
reason why we started this. So, right, if you have
maybe it's a start, if you have Google or Apple
or any of these companies telling you that like, hey,
this is this is AI or this is not.
Speaker 5 (22:54):
This is a huge conflict of interest for these companies.
They're the ones generating the content.
Speaker 3 (22:59):
So how you're gonna be the one generating the content
and telling it it's us if it's ar fake and
you already see, like you know, these big companies being influenced,
you know, in certain ways or another. And then right,
you mentioned TikTok as well. So what bitmin does and
the reason this is the reason why it's decentralized. We
talk about, you know, the first decentralized AI defake detection tool.
(23:19):
The decentralized piece is what really is the necessary aspect
that incorporates the trust and it also improves the performance.
So basically, what we have running is a competition from
AI developers around the world to create the best defake
detection models, and they also get paid for doing this.
Speaker 5 (23:39):
And then so when you use our applications, you're not
getting the detection from just one single model. You're actually
getting a detection from over two hundred different models at
any given time. And then what is being displayed to
the end user is the aggregation or the average of
all those models. So by decentralizing it and saying, hey,
(24:00):
we're not going to just like use one solution that
could be overfitted have biases, We're using hundreds of models
at a time, so that that bias that trust. If
any single model is trying to, you know, do something malicious,
it won't matter in this whole average, and you're just
trusting this aggregated, decentralized competition of AI developers around the
(24:23):
world that are that are creating these these models.
Speaker 1 (24:26):
Okay Kin mentioned India early in the interview, and I
didn't want to cut him off, but I want but
I did want to add this fact to really validate
this story about they have a morning show in India.
It's hosted by one person that is completely AI generated,
and that's why actors are nervous about AI because if
(24:48):
you can create a morning show person that is not
even real, and this is what they benefit. They don't
call it sick. They don't have to pay for the
health benefits. They don't take vacation. And that is from
a business perspective. That's what people see the value of
AIM because of the fact that it doesn't complain. But
(25:08):
the program in place, that programmer can be on vacation,
that programmer can be in New York, that programmer can
be in the Heati, that programmer can be in Japan.
They're doing the work or they just switch off to
somebody else on another eight hour shift. And that person
who maybe if it becomes popular because they say this
AI generated character is very popular, can you don't have
(25:29):
to pay that person ten million dollars a year?
Speaker 2 (25:34):
I think yeah, no, one hundred percent.
Speaker 3 (25:35):
Yeah, right, when you're using software, when you're using AI, right,
we're talking about maybe protecting yourself from scams. So now
you not only have just like you know, traditionally you
had a person or a team working on trying to
develop these scams, but of AI working on it. This
thing's twenty four to seven and never sleeps, right, you know,
it's always coming, always improving and so right. I think
(25:58):
you need to give consumers use there's tools education to
protect themselves better in this new world.
Speaker 1 (26:04):
Well, I'll tell you something, brother, I am. I get
on my email every day, I click on stuff, and
I had to educate myself. Ken. I had to go
and have my staff. It's just real. It's just real.
And finally with Rashaan stopped and I had to learn
the tricks. But of course when you learn a trick,
there's a better trick created, okay, And I'm just telling
(26:25):
my listeners. The reason I brought Ken on the show
is to say, here's free solutions that you can walk
in and use. And if you need more advanced from
a consumer standpoint or a business standpoint, they have a subscription.
As you said earlier, overlays, the easy detection, drag it
over to your software goes in there. You put overlays
(26:47):
on different software. I just know that this we all
know is not going away, can so we need to
just strap up to the reality of deal with it
so you can secure your money. So one day you
will open your bank account and all your minds are
going Am I righting air assessment?
Speaker 2 (27:03):
Right? I think the first step is education.
Speaker 3 (27:06):
Right, if you don't know that there's a problem, if
you're not aware of it, you can't you can't solve it.
Speaker 2 (27:11):
But right, the velocity and the.
Speaker 3 (27:15):
Improvement of generative AI, this is it's akin to cybersecurity, right,
like new security threats get created all the time and
the security.
Speaker 5 (27:24):
Needs to adopt. And this is the same thing.
Speaker 3 (27:26):
New AI will be generated at all times, and we're
in the game of continuously keeping up, trying.
Speaker 2 (27:32):
To stay ahead. But to do that right, I.
Speaker 3 (27:36):
Think we're close and very soon it will be impossible
to differentiate with the human eye what is AI generated
or what is not.
Speaker 1 (27:44):
Absolutely, that's why we need your show. That's why it's
going to be. We need your company to be at
the front of it all. Bid Mind again, tell everybody
how we can go there see what you're doing on
your website. So I'll make a and also download Chrome
the app.
Speaker 3 (28:02):
Go to the detector dot ai. Repeat the detector dot ai.
That's our web application. And then if you want to
have the kind of like interactive Chrome extension, go to
the Chrome web store type in AI detector or bitmind.
It'll pop up and you can download it and then
right information will be overlaid on your screen. Whether this
(28:25):
image or video you're looking at it either AI generated
or fake.
Speaker 1 (28:29):
Yeah, he has a James Bond Type nine Ken John
at but he's a superstar in the field of protection,
especially cybersecurity. Deep fake. The reality is that it's coming.
If you don't believe it, then go to his website
google stuff. But again, if you google it, now, remember
they're in the business of deep faith too. So again,
let's go to a place or find a home that
(28:51):
will be decentralized and give us an opportunity to see
the truth. Thank you Ken for coming on Money Making
Conversations Masterclass and allow myself to storyteller talk to a
subject matter expert like you.
Speaker 2 (29:04):
Rashan, thank you so much for having me Ma, I
appreciate it.
Speaker 1 (29:06):
This has been another edition of Moneymaking Conversation Masterclass posted
by me Rushawn McDonald. Thank you to our guests on
the show today and thank you for listening to the
audience now. If you want to listen to any episode
I want to be a guest on the show, visit
Moneymakingconversations dot com. Our social media handle is money Making Conversation.
Join us next week and remember to always leave with
(29:28):
your gifts. Keep winning,
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