June 23, 2023
#157 Harnessing the Power of Generative AI in Finance with Charles Meaden
In this episode, we sit down with Charles Meaden, the CEO and Co-Founder of Gembot, to explore the intriguing intersection of artificial intelligence and finance. Gembot, a platform that empowers individual investors through advanced trading tools and financial literacy, is redefining the investment landscape. Charles sheds light on his journey into the AI and Fintech world, the AI perspective of Gembot, and how new plugins like ChatGPT are revolutionizing the AI industry. We also delve into the broader implications of generative AI in finance, its potential in displacing traditional jobs, and the exciting possibilities in autonomous bots. As a seasoned entrepreneur, Charles also shares invaluable advice for aspiring founders. Join us for an insightful conversation that navigates the vast ocean of AI’s possibilities in the financial sector.
Charles' LinkedIn: https://www.linkedin.com/in/charles-meaden-346375116/
GemBot: https://gembot.ai/
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From the heart of Dubai where
tomorrow is being built today to
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the world, welcome to the CTO
show with limit here.
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We redefined technology and
reimagine possibilities with
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mehmed delve into the riveting
Realms of AI cybersecurity and
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digital technology experience
the thrilling highs and lows of
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startups.
Immerse yourself in the spirit
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of Entrepreneurship and
witnessed the future of
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business.
Innovation, being written in
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real time.
Now, without further Ado, let's
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tune in and explore the future.
Hello, and welcome to a new
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episode of the city of show with
mammoths.
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My name is Muhammad.
And as you know, in each episode
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I cover different topics from
emerging Technologies,
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artificial intelligence
cybersecurity digital
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transformation fintech, Health
Tech and also I cover as well.
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Start ups on entrepreneurship
and as you know, by now in the
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show, I host with me subject,
matter experts entrepreneurs
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that also, they are Expert in
the field, they do.
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And I'm very pleased to have
with me Charlie today.
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Charlie, thank you very much for
for being on the show.
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Can you just introduce yourself
and what you are up to?
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Yeah, sure.
Thank you for having me on the
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podcast.
I've listened to a bunch of the
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podcast after we connected and
really enjoyed them.
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So, I'm Charlie Maiden, I'm the
CEO of jumbo.
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Do Ai and jumbled is basically
your AI investing assistant in
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your pocket.
And we are helping users, all
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good men, Automation and AI into
their investing strategies and
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their wealth management.
That's very cool.
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First question Charlie like what
town brought you to this field?
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I mean to technology.
Yes may I?
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Yeah yet to take a step back you
know previous to this.
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I was in the gaming industry and
I I built a gaming platform for
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that did.
It was basically like a reward
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platform for gaming and after
the aqua that Aqua higher, we
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went through, I then started
getting into investing.
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But you know, Well, got me.
That was getting into technology
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learning how to save very well.
And then starting to want to put
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my money to work.
And I didn't have enough money
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to do Angel Investing.
Well, so I wanted to come up
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with a very strong system for
investing and being that, I had
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a technical background and I was
very interested in Building
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Systems, I was like, well, I
want to build a systematic
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strategy utilizing Automation
and AI to help me invest, but
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still having that kind of human
nuanced thinking involved in my
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strategy.
So, basically, I built my own
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systematic strategy over.
About three years and then I was
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like, well, I think that other
people could benefit from this
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and I've been running my own
strategy now since 2019.
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And it's it's been really good.
That's cool.
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So like what what exactly like
Gambit is all about?
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Like, it can you just explain,
you know, what the base, how it
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helps people there.
And then we can dive little bit
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into the AI part of it, and you,
Like the thick part.
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Yeah, yeah.
Sounds good.
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So I'll just yeah the platform
intends to basically help you
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manage and execute your
investing and you're investing
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strategy.
And we have a bunch of
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functionality on our site to
help you do that.
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So we have the ability to create
these collaborative, watch lists
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where you can do research with
other people.
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You can use our AI assistant to,
you know, learn about investing,
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do research on historical kind
of financial events and even
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constructing, you know,
portfolios and researching kind
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of known portfolios, like the
all-weather portfolio from Ray
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dalio.
And then, you know, merging it
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with Kathy Woods, kind of
investing principles.
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And then we've got some multi
ordering features and we've got
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At a brokerage capability so
that you can trade and invest in
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US, equities, ETFs and
cryptocurrencies.
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This allows a.
I so what we've got a number of
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AI pieces in there in the
platform.
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But, you know, we're starting to
really try to innovate in the
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generative AI space.
And at the moment we're using a
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GPT model, and then beading.
Context in regards to the user
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that situation and you know high
quality data to make sure that
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the assistant can give better
responses than standard gbt like
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chat gbt kind of instance, okay.
And now just out of curiosity,
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we know like when we talk about
Chad GPT a chat GPT is not like
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kind of real time in the sense
that it stopped then.
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Knowledge at a certain time so
how how you can utilize it?
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Like, I know like now the
plugins are starting to play
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some role here but like what how
you can describe, you know,
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giving charity PT?
Such capabilities.
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Yeah, so just in regards that
you can obviously provide
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context and you can work with
GPT the API to actually kind of
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read from your Data and also
Kate take care of functions
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activate functions.
Now, the generative AI is just
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one part of its kind of how it's
how you interface with, you
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know, the application.
But ultimately underneath the
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generative AI, there's got to be
functions that, you know, are
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specific for different tasks, so
that they're accurate and
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they're not kind of there isn't
kind of any Randomness to it,
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right?
Right?
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When you are the more you ask
the assistant to do things, the
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more you want to make sure that
it's using you know, clean data,
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you know, clean functions, so it
can be accurate.
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So it's about merging and
augmenting that experience with
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kind of traditional risk
management and, you know, kind
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of portfolio management at yes,
okay.
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Now there's a lot of I would say
hi.
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About generative, a, I mainly
chat GPT from your experience.
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Charlie, like, where do you
think Chad GPT can take us?
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What?
What are the limitations with
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generative AI?
It's not just GPT, right?
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There's so many out there are so
many other models which is which
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is interesting and people are
going to choose which models
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resonate with their most right?
You got some people that use
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Bard, some people that use GPT
it's going to Be a user
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preference thing at the end of
the day.
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But, you know, over the next
five years, very specific
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applications are going to come
out that are going to solve
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specific problems.
And like that's going to be able
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to improve productivity, you
know, and efficiencies within
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businesses and people's lives.
And then obviously you're going
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to have these kind of more
monolith models and kind of
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interfaces which kind of compete
for your kind of your Right.
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So you know, you're gonna have
Google, the are going to have a
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lot of that, integrated into the
feature set, and then you're
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going to have to Microsoft.
And and then what Apple are
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doing with generative.
A I will AI in general and then
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of course how they're mixing
that with Hardware is going to
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be very interesting.
Yeah, now coming back to to the
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fintech part of it.
So you have applied into trading
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signals, basically, and I mean,
Trading the stock market.
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What other like spaces is you
see is you don't have ai is
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coming into the finance sector
in the final Center.
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You know, you could also see a
lot of content being created
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through generative AI which
people will consume whether that
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be kind of like newsletters and
different summaries.
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Also going to see this
potentially with different
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levels of wealth management and
budgeting you know we're working
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on functionality at the moment,
you know.
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It's with investing it's not
just about what kind of buying
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with a specific amount of
capital.
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It's about saving more and
regularly contributing.
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So you know if you connect your
bank accounts and your
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investment accounts to
jeong-bok, can we use Rai to
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help save you 4% a year?
Because if we save you 4% a year
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you'll return you'll Retire with
27 percent more money.
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Yeah, so that's kind of where
we're looking at seeing how we
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can kind of come in and merge,
you know, mix the things that we
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need to to help people have
better Financial outcomes.
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So, for us, that's how do we use
generative Ai and just
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automation, just good
old-fashioned efficiency to
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improve people's to save to
learn and then to save and
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invest.
So, you know, they got, they got
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to reduce their outgoing.
He's got to learn about
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financial literacy and you got
to then regularly contribute to
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your investing, you know?
That's, that's interesting.
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So do you think that this will
lead to some jobs being wiped
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out because of this like maybe
portfolio managers or, I don't
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know financial planners.
Well, what's your take on this?
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You know, I, my Twitter handle
is cyborg Charlie.
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Okay, that's because I think
this is an opportunity.
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Auntie for a merge, we're all
kind of cyborg with our phones,
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right?
And this is going to displace
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certain kind of the ways.
Nothing's going to change but
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the waves we do things might
change, right?
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So people have been going to
move on and find the next thing
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to work on and be in and kind of
do like, we've seen that time
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and time again in history.
So I, you know, I try not to
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think about well, no, you've got
to think about kind of the
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ramifications, the unintended
consequences and the risks, but
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I'm not too worried about humans
not having anything to do
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because I believe that humans
are very creative and they'll
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always find stuff to do and we
do have two.
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We do have to consider what it
means for, you know, wealth gaps
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and in a quality potentially, if
there's no way to get income but
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that's why I've been advocating
for.
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Young people to build equity, it
doesn't just have to be stock
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market, but build equity, go and
get equity in something and
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that's how you can get nonlinear
outcomes, right?
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Yep.
So now I'm going on on the same
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point and just at this is like
my own view on this is Yeah,
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Technologies change the
landscape like careers, get wipe
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out some jobs, get wiped out,
but I think with AI is like this
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augmentation.
That's right.
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Yeah.
So we've talked a lot about it
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in the show now here and I want
to come back to the financial
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part, like it requires some
human interaction, sometimes
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because let me ask you like,
from from what you are seeing
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now, how Act is now Example a
model like Chad GPT and
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predicting.
For example, how a stock will go
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up or down, maybe a crypto will
go up or down or down how much
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still it requires human, you
know, Intervention when it when
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it does the but supposed to do.
Yeah.
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I mean without using the API or
doing work on it, it's it's not
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it's not necessarily going to
be, lets say i a Our act, right?
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It's about the application and
how you use the generative AI to
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help you with what you're doing,
right?
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So can it help you build a
portfolio right based on your
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risk parameters on your goals on
kind of the things you want to
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do?
Can it help you research?
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Yes, you know, but it's going to
be a situation where You kind of
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get out.
It's not the same Netflix
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subscription for every user.
Some users are going to get a
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Lamborghini and some users are
going to get a Nissan Leaf.
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Yeah.
Yeah.
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I think the new sound leaves are
great.
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So you know like if that's just
a model portfolio where I can
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save you know ten percent of my
salary every year, that's going
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to be create amazing outcomes
for me, you know, and I don't
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have to do anything and it's you
know, very low fees, that's
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good.
But some people might want to
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Actually generate Alpha from the
platform and really kind of do
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creative things like create
multiple strategies and then
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potentially have kind of macro,
kind of an overarching macro,
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kind of risk situation where you
could use agents to do that for
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you.
So I would come back to the
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agents pod.
But, like you mentioned
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something about someone who can
create an alpha and someone who
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can create him something else.
I think the same concept of
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applying what's called prompt
Engineering.
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Also applies when it comes to
here, right?
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Its massive.
Its massive from the prompts
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that you give this system,
massively, dictate the outcome
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for you and that's our challenge
is, how do we then intervene
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with the prompt to improve the
prompt?
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Hm said, then actually make sure
that there's a response worth
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having back And that you think
that is such a Charlie?
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Do you think, do you think, do
you think even like someone like
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Google or open it by themselves?
They know how to enhance the
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prompt.
Well, they must be thinking
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about that, right?
Yeah, I've seen something very
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interesting.
I use a tool, maybe you know it
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it's called Jasper.
Jasper day.
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I so just what actually, it came
out.
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I think they were relying on
opening.
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00:15:25,300 --> 00:15:28,300
Our apis before chat, GPT came
out.
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00:15:28,300 --> 00:15:30,100
Yeah.
And you know, they they can
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generate text and so on.
So now they got a function,
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00:15:33,700 --> 00:15:38,000
which is very cool.
So when you type something in
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00:15:38,000 --> 00:15:40,600
the chat box because they
converted, there you are, there
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00:15:40,600 --> 00:15:42,300
you are.
I was like, you need to give
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00:15:42,300 --> 00:15:44,100
some, you know, like the
scripture.
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And what are you trying to
generate?
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00:15:46,100 --> 00:15:49,300
And so on.
So now they made that as a chat
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00:15:49,400 --> 00:15:54,500
box, same as the chat G, PT 1,
and once you type the sentence,
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they have a small button that
says, enhance my chat.
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I mean, right, they do something
in the background.
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00:16:04,200 --> 00:16:08,000
And then, for example, if I say,
I want a blog post for, I don't
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know, like something related to
fintech and I say, enhance this
244
00:16:11,600 --> 00:16:14,100
prompt, you get something
similar to this.
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00:16:14,200 --> 00:16:19,700
This, you are an experienced
writer in the sector of finance
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00:16:19,900 --> 00:16:24,300
and explosion in the technology
sector you have written a lot of
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00:16:24,300 --> 00:16:27,100
articles on the topic.
And today I want you to write
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00:16:27,100 --> 00:16:29,200
for me and article that
discussed, blah, blah, blah,
249
00:16:29,200 --> 00:16:32,500
blah, blah Arrow.
It's something new.
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That caught my attention and
always I'm asking, okay, like
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who really have the keys?
I would say to get the language
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00:16:40,900 --> 00:16:43,800
model to fully, you know, go
Full Throttle.
253
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I Are still in the early days in
the early stages here.
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00:16:48,200 --> 00:16:52,300
Yeah, really.
There's a long way to go because
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I always experiment Charlie and,
you know, I want to hear your
256
00:16:55,400 --> 00:17:00,000
experience every time and I
interact with chat GPT honestly
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every day.
So for the people who goes to my
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consultancy company website and
you see the about us.
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So, I have myself, I have, you
know, my partner and we have a
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logo for chat GPT and I call it
chief chief.
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Content officer.
Yeah.
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00:17:16,000 --> 00:17:21,900
So what's your experience in
this Charlie Island?
263
00:17:22,200 --> 00:17:26,500
We've been doing it for you know
we've been using Automation and
264
00:17:26,800 --> 00:17:33,400
GPT and you know other systems
specifically you know products
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that also help you build those
automated systems.
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00:17:37,200 --> 00:17:40,200
We've been using them for years
and obviously we've been using
267
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them in our strategy to actually
execute our investing but also
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Now, we're thinking about how do
we, how do we use it internally,
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you know, all of our developers
use co-pilots.
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And, you know, utilize that to
get better productivity.
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00:17:56,100 --> 00:17:58,500
You know, we're using the
assistant in are investing
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00:17:58,500 --> 00:18:05,400
research, you know, it's, it's
a, it's a great, it's a great
273
00:18:05,400 --> 00:18:08,900
tool, but I think, at the
moment, there's a long way to go
274
00:18:08,900 --> 00:18:11,400
in the product, like, I think
that all the products can
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00:18:11,400 --> 00:18:15,300
improve a lot more.
Over the next couple of years
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00:18:15,700 --> 00:18:17,500
and there's going to be a lot of
improvements that need to be
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00:18:17,500 --> 00:18:21,100
made because it's still there is
still a level of, you know,
278
00:18:21,200 --> 00:18:24,800
okay, writing a blog post one
thing but you know making sure
279
00:18:24,800 --> 00:18:29,800
that your Investments and the
kind of strategies and their
280
00:18:29,800 --> 00:18:32,600
kind of mathematics is all
right, that's important.
281
00:18:32,700 --> 00:18:36,400
You know, I'm in blog posts are
important to write but like when
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you're dealing with kind of
numbers and money, you need to
283
00:18:40,000 --> 00:18:44,000
make sure that like it's highly
accurate.
284
00:18:45,000 --> 00:18:48,000
Yeah, you you mentioned
something couple of times.
285
00:18:48,300 --> 00:18:51,900
You mentioned that automation
plus the AI.
286
00:18:52,500 --> 00:18:57,700
Now, I've covered something
related to these autonomous
287
00:18:57,800 --> 00:19:00,100
robots.
You know, like something like
288
00:19:00,100 --> 00:19:07,500
Auto GP T there is ba ba GI, Do
you think like really, we can
289
00:19:07,500 --> 00:19:11,900
reach a phase where let's say
myself?
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00:19:11,900 --> 00:19:16,200
I just have an idea in my mind,
I go give it to the boss and the
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00:19:16,200 --> 00:19:18,900
boss will do it for me.
Are we going to reach something
292
00:19:18,900 --> 00:19:23,400
similar?
Well, at the moment is have to
293
00:19:23,400 --> 00:19:28,900
be at asses kind of repetitive
and known every time but you
294
00:19:28,900 --> 00:19:31,300
wouldn't be able to be like,
will go create me this business.
295
00:19:32,900 --> 00:19:35,700
Well, you might be able to, you
might be able to create some
296
00:19:35,700 --> 00:19:38,900
light, very known businesses,
you know, you might be able to
297
00:19:38,908 --> 00:19:41,600
give an agent in the
not-too-distant future like you
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know, Make Me A Drop Shipping
business and maybe it can
299
00:19:44,100 --> 00:19:47,700
actually work it out.
There's no real reason for it to
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00:19:47,700 --> 00:19:52,100
not write, whether it makes any
money is a different story of
301
00:19:52,100 --> 00:19:56,200
course.
But you know that that I can see
302
00:19:56,200 --> 00:20:00,600
being you know, potentially
doable and I did and I think
303
00:20:00,600 --> 00:20:03,800
that, you know, in the next five
years With what we're doing and
304
00:20:03,800 --> 00:20:08,100
we've got other companies are
doing you know you one or two
305
00:20:08,100 --> 00:20:12,300
people could be having the power
of you know a hedge fund, you
306
00:20:12,300 --> 00:20:17,300
know.
Yeah yeah I think Charlie to
307
00:20:17,300 --> 00:20:20,400
your point maybe it's not like
they will come up with the
308
00:20:20,400 --> 00:20:26,200
business idea but something I
had a conversation with a friend
309
00:20:26,200 --> 00:20:29,600
the other day and I said listen
we will come up with the idea
310
00:20:29,600 --> 00:20:34,700
but imagine for example there's
A bought an AI powered boat,
311
00:20:34,700 --> 00:20:37,200
that goes and do all the heavy
lifting for us.
312
00:20:37,200 --> 00:20:41,100
For example, we have an idea, we
give the idea that and then it
313
00:20:41,100 --> 00:20:46,300
would go, give a business name.
Find a domain registered, the
314
00:20:46,300 --> 00:20:50,600
domain build a website building,
build landing pages, social
315
00:20:50,600 --> 00:20:54,300
media handles, you know, and
once it's done, come, hey, I've
316
00:20:54,300 --> 00:20:55,800
done this.
What should I do next?
317
00:20:55,800 --> 00:20:57,600
Okay.
Go and start to do marketing
318
00:20:58,200 --> 00:21:00,500
next.
So, of course, and this is why
319
00:21:00,600 --> 00:21:03,900
I'm giving this example for
people, People who are listening
320
00:21:04,400 --> 00:21:07,900
like, guys don't be afraid of a
I like because you are in the
321
00:21:07,900 --> 00:21:09,800
control all the time.
You wanted to say something
322
00:21:09,800 --> 00:21:13,500
Charlie anything.
Oh well, no, I just thought that
323
00:21:13,500 --> 00:21:15,500
was really interesting.
Yeah, you could definitely use
324
00:21:16,400 --> 00:21:20,800
generative AI to kind of see the
business right with a prompt and
325
00:21:20,800 --> 00:21:24,000
then go and do all your setup
process.
326
00:21:24,800 --> 00:21:27,100
Give you options of different
domains give you options of
327
00:21:27,100 --> 00:21:31,000
different handles.
There's no reason why that yeah
328
00:21:31,000 --> 00:21:33,300
that that's achievable and
they're like you say that you
329
00:21:33,300 --> 00:21:38,700
know we are the composers of of
the system still, right?
330
00:21:38,700 --> 00:21:44,100
Absolutely. 100%.
Actually it was for fun and it
331
00:21:44,100 --> 00:21:49,600
was like, it went viral.
Someone who let Chad GPT act as
332
00:21:49,600 --> 00:21:53,500
hustle, hustle GPT.
If you have seen this one, you
333
00:21:53,500 --> 00:22:00,000
know, as I have a, yeah, I have
even some like friends that they
334
00:22:00,000 --> 00:22:03,200
tried it.
I've seen two scenarios.
335
00:22:03,200 --> 00:22:05,900
I've seen one where they were
able to sell.
336
00:22:06,000 --> 00:22:07,700
Actually they came up with an
idea.
337
00:22:07,700 --> 00:22:09,900
They build it quickly on a new
coat too well.
338
00:22:09,900 --> 00:22:12,600
And then they sold.
For I think for like five
339
00:22:12,600 --> 00:22:15,600
hundred dollars and then the
next challenge back was to make
340
00:22:15,600 --> 00:22:19,000
something big, I need to check
what's happened later but you
341
00:22:19,000 --> 00:22:22,700
know, the aim was to sell, I
mean to create the website and
342
00:22:22,700 --> 00:22:24,600
then sell it for five thousand
dollars.
343
00:22:25,100 --> 00:22:26,600
So right.
Yeah.
344
00:22:26,600 --> 00:22:29,500
But again, like we will be in
control all the time.
345
00:22:29,900 --> 00:22:40,300
Now besides I would say you
know, fintech and trading where
346
00:22:40,300 --> 00:22:44,300
other Other hot Trends.
Are you seeing where Religion
347
00:22:44,300 --> 00:22:46,500
Today?
I can intersect and can disrupt
348
00:22:46,500 --> 00:22:49,600
markets.
Mmm legal.
349
00:22:50,100 --> 00:22:57,700
I think that's obvious.
Okay, attacks and kind of
350
00:22:57,700 --> 00:23:06,500
accounting therapy, potentially,
I'd say, okay, that's a bit of a
351
00:23:06,500 --> 00:23:10,500
random one.
But I think that It might be the
352
00:23:10,500 --> 00:23:15,400
right time and people might
adopt that sort of thing.
353
00:23:15,900 --> 00:23:17,600
I don't know what the
regulation.
354
00:23:17,700 --> 00:23:20,600
Kind of free space would look
like in that, I think that would
355
00:23:20,600 --> 00:23:24,300
be pretty difficult.
I think that doctors could
356
00:23:24,300 --> 00:23:30,800
easily utilize it when it comes
to getting the right information
357
00:23:31,600 --> 00:23:35,100
and then analyzing it across
their, you know, their database
358
00:23:35,100 --> 00:23:37,600
of history and diagnosis.
Yeah.
359
00:23:37,600 --> 00:23:40,800
But also just helping dictation
and making sure that the date
360
00:23:40,800 --> 00:23:44,600
they say you've got in your
system is accurate and you can
361
00:23:44,600 --> 00:23:47,300
have picking out all the things.
Yep.
362
00:23:47,800 --> 00:23:54,700
So I mean, I think it's going
to, you know, move across all
363
00:23:55,000 --> 00:23:57,700
areas.
Yeah, we're going to have
364
00:23:57,700 --> 00:24:00,700
exciting times.
I had that would say well we
365
00:24:01,200 --> 00:24:05,100
interesting so because of all of
this generative, AI in the
366
00:24:05,300 --> 00:24:09,200
increase in demand.
And of data, all the data costs
367
00:24:09,200 --> 00:24:13,200
are going up dramatically which
is going to create inflationary
368
00:24:13,200 --> 00:24:17,100
pressures.
But then the AI conversely will
369
00:24:17,100 --> 00:24:20,700
create deflationary pressures.
So this will be very
370
00:24:20,700 --> 00:24:23,900
interesting, very, very
interesting indeed.
371
00:24:24,100 --> 00:24:28,100
Now Charlie, make sure thing
little bit gives you.
372
00:24:28,100 --> 00:24:32,300
You've been, you know, you told
me you started with the gaming
373
00:24:32,300 --> 00:24:34,500
and you know, then you did this
his shift.
374
00:24:37,000 --> 00:24:41,500
What do you advise fellow?
People who are interested to
375
00:24:41,500 --> 00:24:43,300
take same path?
Like, I'm sure like you have a
376
00:24:43,300 --> 00:24:48,100
lot of out, say things that you
learn down the road and you tell
377
00:24:48,100 --> 00:24:51,100
yourself, I wish I knew that
before.
378
00:24:51,100 --> 00:24:55,100
So what are like this in terms
of being a Founder in terms of
379
00:24:55,100 --> 00:24:57,700
being a Founder?
Yes, it don't forget founder.
380
00:24:57,700 --> 00:24:58,900
Yeah.
Yeah.
381
00:24:59,600 --> 00:25:06,400
Being a Founder is Is
interesting and it's a very
382
00:25:06,900 --> 00:25:12,400
fulfilling path.
But, you know, I read a book
383
00:25:12,400 --> 00:25:14,600
once called.
I'm thinking in bets it's by a
384
00:25:14,608 --> 00:25:17,400
poker player.
Professional female poker
385
00:25:17,400 --> 00:25:20,200
player.
I've seen the video above the,
386
00:25:20,200 --> 00:25:20,800
yeah.
I know.
387
00:25:22,400 --> 00:25:26,600
And you know for me one of the
most important things has been
388
00:25:27,300 --> 00:25:31,700
that basically I detach the
outcome from the decision.
389
00:25:32,500 --> 00:25:37,800
So when I decide to build a
gaming startup I want to be
390
00:25:37,800 --> 00:25:42,000
happy because I want it to be
obviously a profitable Endeavor
391
00:25:42,000 --> 00:25:44,300
or because I want to solve a
specific problem.
392
00:25:44,300 --> 00:25:47,500
Or I want to help Gamers like
get involved into Esports and
393
00:25:47,800 --> 00:25:50,600
Fillmore rewarded from their
effort and passion they have for
394
00:25:50,600 --> 00:25:54,300
gaming.
And then, you know, if I make
395
00:25:54,300 --> 00:25:57,000
the decision build that
business, you know, I am I happy
396
00:25:57,000 --> 00:25:59,400
with the decision, right?
Doesn't matter.
397
00:25:59,400 --> 00:26:02,700
Knows so much about the outcome.
Like, I have some desired
398
00:26:02,700 --> 00:26:07,000
outcomes and I have some
undesirable outcomes but that
399
00:26:07,000 --> 00:26:10,800
isn't, you know, my kind of
thing I'd say is like, you know
400
00:26:10,800 --> 00:26:13,200
kind of focus on trying to make
really good decisions with the
401
00:26:13,208 --> 00:26:17,000
information you have and they're
not being too concerned, not
402
00:26:17,100 --> 00:26:19,000
going to be concerned about the
outcomes but you don't I mean
403
00:26:19,000 --> 00:26:22,600
like it's you know, it's about
kind of Not worrying about the
404
00:26:22,600 --> 00:26:25,700
outcome.
So it's fine to to fail in a
405
00:26:25,700 --> 00:26:27,400
sense.
Like don't be afraid of failure
406
00:26:27,400 --> 00:26:29,600
because you're gonna, you know,
do mistakes.
407
00:26:30,300 --> 00:26:33,800
Well, you know, there's a Howard
marks is a famous investor and
408
00:26:33,800 --> 00:26:36,700
he had hit this meant famous
than my right was.
409
00:26:36,700 --> 00:26:41,100
I beg to differ, mmm and the beg
I beg to differ.
410
00:26:42,000 --> 00:26:46,300
Memo was all about if you want
to get better than average
411
00:26:46,300 --> 00:26:49,700
returns, you have to be
different from the market.
412
00:26:51,000 --> 00:26:52,400
And that's where the I beg to
differ.
413
00:26:52,400 --> 00:26:56,800
Everyone wants to differ from
the market, but if they differ
414
00:26:56,800 --> 00:26:59,800
from the market, they risk
losing more than the market and
415
00:26:59,800 --> 00:27:04,700
underperforming.
Yes, and ultimately, you just
416
00:27:04,700 --> 00:27:10,800
got to try and, you know, be
different so that you can
417
00:27:12,600 --> 00:27:16,400
provide something kind of new to
the market and value to kind of
418
00:27:16,800 --> 00:27:20,100
the things you're doing.
Yeah, I agree with you on this
419
00:27:20,100 --> 00:27:22,800
one.
Charlie Charlie, as we come to,
420
00:27:22,800 --> 00:27:26,000
you know, almost all to the end.
I have a famous question.
421
00:27:26,500 --> 00:27:30,200
What is the question that you
wished me to ask?
422
00:27:31,600 --> 00:27:34,200
Can you repeat that please?
What is the question that you
423
00:27:34,200 --> 00:27:35,200
wished?
I asked you.
424
00:27:36,100 --> 00:27:42,900
Uh-oh, there was a, I went on a
podcast recently and the
425
00:27:42,900 --> 00:27:50,600
question they asked was what's
the one thing I could give you.
426
00:27:51,400 --> 00:27:52,600
No.
What's the one thing?
427
00:27:52,600 --> 00:27:56,100
I could give the audience that I
think everyone should like have
428
00:27:56,100 --> 00:27:57,900
listen to or read.
Mmm.
429
00:27:58,200 --> 00:28:01,300
And I would say it's the no
vowel podcast, how to get rich
430
00:28:01,300 --> 00:28:04,200
without getting lucky Gabriella
podcast.
431
00:28:04,200 --> 00:28:09,000
But it's revolutionary.
I think I'd like to listen to it
432
00:28:09,000 --> 00:28:12,400
but I get the book, but it's
good.
433
00:28:12,800 --> 00:28:16,500
The almanac and I'm like yeah
it's an eye-opener actually.
434
00:28:16,600 --> 00:28:19,500
It's a very good book.
I advise everyone I think.
435
00:28:19,500 --> 00:28:23,000
Yeah.
I'm bootstrapping my podcast.
436
00:28:23,000 --> 00:28:24,700
So guys.
Yeah, I think we need to
437
00:28:24,700 --> 00:28:26,900
dedicate some episodes, just
about books.
438
00:28:26,900 --> 00:28:30,000
So let's see when we can delay.
Yeah, sure.
439
00:28:31,000 --> 00:28:35,400
Charlie like really, I enjoyed
the discussion, how I will make
440
00:28:35,400 --> 00:28:38,600
sure that people can have a look
on Gambit.
441
00:28:38,900 --> 00:28:44,400
All right, so I'll put the link
in the episode this mean
442
00:28:44,400 --> 00:28:49,200
description and also it will be
0 on YouTube you can as you can
443
00:28:49,200 --> 00:28:54,100
see now on Notify Apple podcast
and all your favorite podcasting
444
00:28:54,100 --> 00:28:56,700
platforms.
Thank you very much Charlie for
445
00:28:56,700 --> 00:29:00,600
being with us here today and for
my audience, as usual, if you
446
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are first time here and you
watching this on YouTube, don't
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Also, don't forget to subscribe
to the podcast.
450
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We are trying to get really good
content, and as you can see, we
451
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have the best of the best, like,
Charlie walser's as today, he's
452
00:29:20,200 --> 00:29:22,800
the CEO.
CEO of Gambit and we have a
453
00:29:22,800 --> 00:29:29,600
lineup of seos also coming and I
hope as always to give me your
454
00:29:29,600 --> 00:29:32,600
feedback.
If you have any questions, get
455
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them to me, you can reach out to
me by email LinkedIn or Twitter,
456
00:29:36,300 --> 00:29:39,800
but I am the most active.
If you are also interested to be
457
00:29:39,800 --> 00:29:42,700
a guest on the show, like,
Charlie was today, don't
458
00:29:42,700 --> 00:29:44,500
hesitate to get in touch with
me.
459
00:29:44,500 --> 00:29:46,700
I would be more than happy to
discuss this as well.
460
00:29:47,100 --> 00:29:51,100
And as I say at the end, until
we meet the next, Episode.
461
00:29:51,100 --> 00:29:52,600
Thank you very much.
Bye bye.
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Hit that subscribe button.
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00:00:00,900 --> 00:00:06,600
From the heart of Dubai where
tomorrow is being built today to
2
00:00:06,600 --> 00:00:12,600
the world, welcome to the CTO
show with limit here.
3
00:00:12,700 --> 00:00:17,600
We redefined technology and
reimagine possibilities with
4
00:00:17,600 --> 00:00:23,300
mehmed delve into the riveting
Realms of AI cybersecurity and
5
00:00:23,300 --> 00:00:28,900
digital technology experience
the thrilling highs and lows of
6
00:00:28,900 --> 00:00:31,700
startups.
Immerse yourself in the spirit
7
00:00:31,700 --> 00:00:34,400
of Entrepreneurship and
witnessed the future of
8
00:00:34,400 --> 00:00:36,700
business.
Innovation, being written in
9
00:00:36,700 --> 00:00:40,700
real time.
Now, without further Ado, let's
10
00:00:40,700 --> 00:00:48,700
tune in and explore the future.
Hello, and welcome to a new
11
00:00:48,700 --> 00:00:50,600
episode of the city of show with
mammoths.
12
00:00:50,600 --> 00:00:52,600
My name is Muhammad.
And as you know, in each episode
13
00:00:52,600 --> 00:00:56,200
I cover different topics from
emerging Technologies,
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00:00:56,400 --> 00:00:58,700
artificial intelligence
cybersecurity digital
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00:00:58,700 --> 00:01:03,600
transformation fintech, Health
Tech and also I cover as well.
16
00:01:03,600 --> 00:01:07,600
Start ups on entrepreneurship
and as you know, by now in the
17
00:01:07,600 --> 00:01:11,500
show, I host with me subject,
matter experts entrepreneurs
18
00:01:11,800 --> 00:01:16,100
that also, they are Expert in
the field, they do.
19
00:01:16,100 --> 00:01:18,600
And I'm very pleased to have
with me Charlie today.
20
00:01:18,600 --> 00:01:21,500
Charlie, thank you very much for
for being on the show.
21
00:01:21,900 --> 00:01:25,400
Can you just introduce yourself
and what you are up to?
22
00:01:26,300 --> 00:01:28,500
Yeah, sure.
Thank you for having me on the
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00:01:28,800 --> 00:01:31,200
podcast.
I've listened to a bunch of the
24
00:01:31,200 --> 00:01:35,100
podcast after we connected and
really enjoyed them.
25
00:01:35,100 --> 00:01:38,200
So, I'm Charlie Maiden, I'm the
CEO of jumbo.
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00:01:38,200 --> 00:01:43,000
Do Ai and jumbled is basically
your AI investing assistant in
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00:01:43,000 --> 00:01:48,300
your pocket.
And we are helping users, all
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good men, Automation and AI into
their investing strategies and
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their wealth management.
That's very cool.
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First question Charlie like what
town brought you to this field?
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I mean to technology.
Yes may I?
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00:02:06,900 --> 00:02:11,000
Yeah yet to take a step back you
know previous to this.
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I was in the gaming industry and
I I built a gaming platform for
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that did.
It was basically like a reward
35
00:02:19,600 --> 00:02:26,500
platform for gaming and after
the aqua that Aqua higher, we
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00:02:26,500 --> 00:02:29,200
went through, I then started
getting into investing.
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00:02:29,200 --> 00:02:35,600
But you know, Well, got me.
That was getting into technology
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learning how to save very well.
And then starting to want to put
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00:02:39,300 --> 00:02:42,800
my money to work.
And I didn't have enough money
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00:02:42,800 --> 00:02:46,800
to do Angel Investing.
Well, so I wanted to come up
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00:02:46,800 --> 00:02:52,000
with a very strong system for
investing and being that, I had
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00:02:52,000 --> 00:02:55,000
a technical background and I was
very interested in Building
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Systems, I was like, well, I
want to build a systematic
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strategy utilizing Automation
and AI to help me invest, but
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00:03:03,500 --> 00:03:07,800
still having that kind of human
nuanced thinking involved in my
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strategy.
So, basically, I built my own
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00:03:09,900 --> 00:03:13,500
systematic strategy over.
About three years and then I was
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like, well, I think that other
people could benefit from this
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and I've been running my own
strategy now since 2019.
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And it's it's been really good.
That's cool.
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So like what what exactly like
Gambit is all about?
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Like, it can you just explain,
you know, what the base, how it
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helps people there.
And then we can dive little bit
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into the AI part of it, and you,
Like the thick part.
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Yeah, yeah.
Sounds good.
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So I'll just yeah the platform
intends to basically help you
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manage and execute your
investing and you're investing
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strategy.
And we have a bunch of
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functionality on our site to
help you do that.
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So we have the ability to create
these collaborative, watch lists
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where you can do research with
other people.
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You can use our AI assistant to,
you know, learn about investing,
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do research on historical kind
of financial events and even
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constructing, you know,
portfolios and researching kind
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of known portfolios, like the
all-weather portfolio from Ray
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dalio.
And then, you know, merging it
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with Kathy Woods, kind of
investing principles.
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And then we've got some multi
ordering features and we've got
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At a brokerage capability so
that you can trade and invest in
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US, equities, ETFs and
cryptocurrencies.
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This allows a.
I so what we've got a number of
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AI pieces in there in the
platform.
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But, you know, we're starting to
really try to innovate in the
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generative AI space.
And at the moment we're using a
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GPT model, and then beading.
Context in regards to the user
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that situation and you know high
quality data to make sure that
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the assistant can give better
responses than standard gbt like
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chat gbt kind of instance, okay.
And now just out of curiosity,
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we know like when we talk about
Chad GPT a chat GPT is not like
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kind of real time in the sense
that it stopped then.
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Knowledge at a certain time so
how how you can utilize it?
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Like, I know like now the
plugins are starting to play
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some role here but like what how
you can describe, you know,
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giving charity PT?
Such capabilities.
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00:05:53,700 --> 00:05:57,200
Yeah, so just in regards that
you can obviously provide
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00:05:57,200 --> 00:06:06,500
context and you can work with
GPT the API to actually kind of
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read from your Data and also
Kate take care of functions
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activate functions.
Now, the generative AI is just
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one part of its kind of how it's
how you interface with, you
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know, the application.
But ultimately underneath the
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generative AI, there's got to be
functions that, you know, are
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specific for different tasks, so
that they're accurate and
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they're not kind of there isn't
kind of any Randomness to it,
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00:06:37,800 --> 00:06:38,400
right?
Right?
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00:06:39,200 --> 00:06:43,200
When you are the more you ask
the assistant to do things, the
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00:06:43,200 --> 00:06:46,300
more you want to make sure that
it's using you know, clean data,
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00:06:46,600 --> 00:06:50,600
you know, clean functions, so it
can be accurate.
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00:06:50,900 --> 00:06:56,000
So it's about merging and
augmenting that experience with
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00:06:56,000 --> 00:07:00,700
kind of traditional risk
management and, you know, kind
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of portfolio management at yes,
okay.
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00:07:04,400 --> 00:07:08,000
Now there's a lot of I would say
hi.
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About generative, a, I mainly
chat GPT from your experience.
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00:07:13,500 --> 00:07:19,200
Charlie, like, where do you
think Chad GPT can take us?
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What?
What are the limitations with
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generative AI?
It's not just GPT, right?
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00:07:25,900 --> 00:07:28,300
There's so many out there are so
many other models which is which
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00:07:28,300 --> 00:07:32,400
is interesting and people are
going to choose which models
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00:07:32,400 --> 00:07:35,000
resonate with their most right?
You got some people that use
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00:07:35,000 --> 00:07:38,500
Bard, some people that use GPT
it's going to Be a user
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00:07:38,500 --> 00:07:40,000
preference thing at the end of
the day.
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00:07:40,000 --> 00:07:45,600
But, you know, over the next
five years, very specific
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00:07:45,600 --> 00:07:47,500
applications are going to come
out that are going to solve
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00:07:47,500 --> 00:07:50,900
specific problems.
And like that's going to be able
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00:07:50,900 --> 00:07:55,000
to improve productivity, you
know, and efficiencies within
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00:07:55,000 --> 00:07:58,700
businesses and people's lives.
And then obviously you're going
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00:07:58,708 --> 00:08:02,000
to have these kind of more
monolith models and kind of
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00:08:02,000 --> 00:08:08,400
interfaces which kind of compete
for your kind of your Right.
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00:08:08,400 --> 00:08:11,500
So you know, you're gonna have
Google, the are going to have a
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00:08:11,500 --> 00:08:15,100
lot of that, integrated into the
feature set, and then you're
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00:08:15,100 --> 00:08:18,000
going to have to Microsoft.
And and then what Apple are
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00:08:18,000 --> 00:08:22,900
doing with generative.
A I will AI in general and then
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00:08:22,900 --> 00:08:24,900
of course how they're mixing
that with Hardware is going to
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00:08:24,908 --> 00:08:30,900
be very interesting.
Yeah, now coming back to to the
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00:08:30,900 --> 00:08:36,200
fintech part of it.
So you have applied into trading
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signals, basically, and I mean,
Trading the stock market.
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00:08:39,600 --> 00:08:45,300
What other like spaces is you
see is you don't have ai is
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00:08:45,300 --> 00:08:51,500
coming into the finance sector
in the final Center.
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00:08:52,500 --> 00:08:56,300
You know, you could also see a
lot of content being created
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00:08:56,300 --> 00:09:01,500
through generative AI which
people will consume whether that
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00:09:01,500 --> 00:09:06,100
be kind of like newsletters and
different summaries.
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00:09:08,100 --> 00:09:12,300
Also going to see this
potentially with different
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00:09:12,300 --> 00:09:15,500
levels of wealth management and
budgeting you know we're working
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00:09:15,500 --> 00:09:16,900
on functionality at the moment,
you know.
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00:09:17,200 --> 00:09:21,900
It's with investing it's not
just about what kind of buying
135
00:09:21,900 --> 00:09:23,300
with a specific amount of
capital.
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00:09:23,300 --> 00:09:26,000
It's about saving more and
regularly contributing.
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00:09:26,500 --> 00:09:29,200
So you know if you connect your
bank accounts and your
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00:09:29,200 --> 00:09:32,300
investment accounts to
jeong-bok, can we use Rai to
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00:09:32,300 --> 00:09:36,800
help save you 4% a year?
Because if we save you 4% a year
140
00:09:36,800 --> 00:09:40,900
you'll return you'll Retire with
27 percent more money.
141
00:09:42,200 --> 00:09:46,900
Yeah, so that's kind of where
we're looking at seeing how we
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00:09:46,900 --> 00:09:51,200
can kind of come in and merge,
you know, mix the things that we
143
00:09:51,200 --> 00:09:55,000
need to to help people have
better Financial outcomes.
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00:09:55,000 --> 00:09:59,400
So, for us, that's how do we use
generative Ai and just
145
00:09:59,400 --> 00:10:03,100
automation, just good
old-fashioned efficiency to
146
00:10:03,100 --> 00:10:07,800
improve people's to save to
learn and then to save and
147
00:10:07,800 --> 00:10:10,900
invest.
So, you know, they got, they got
148
00:10:10,900 --> 00:10:13,800
to reduce their outgoing.
He's got to learn about
149
00:10:13,800 --> 00:10:16,800
financial literacy and you got
to then regularly contribute to
150
00:10:16,808 --> 00:10:20,200
your investing, you know?
That's, that's interesting.
151
00:10:20,300 --> 00:10:26,300
So do you think that this will
lead to some jobs being wiped
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00:10:26,300 --> 00:10:30,100
out because of this like maybe
portfolio managers or, I don't
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00:10:30,100 --> 00:10:33,300
know financial planners.
Well, what's your take on this?
154
00:10:33,700 --> 00:10:37,800
You know, I, my Twitter handle
is cyborg Charlie.
155
00:10:37,800 --> 00:10:41,800
Okay, that's because I think
this is an opportunity.
156
00:10:41,900 --> 00:10:45,000
Auntie for a merge, we're all
kind of cyborg with our phones,
157
00:10:45,000 --> 00:10:50,400
right?
And this is going to displace
158
00:10:51,300 --> 00:10:57,500
certain kind of the ways.
Nothing's going to change but
159
00:10:57,500 --> 00:11:00,500
the waves we do things might
change, right?
160
00:11:01,200 --> 00:11:05,700
So people have been going to
move on and find the next thing
161
00:11:05,700 --> 00:11:09,300
to work on and be in and kind of
do like, we've seen that time
162
00:11:09,300 --> 00:11:12,800
and time again in history.
So I, you know, I try not to
163
00:11:12,800 --> 00:11:16,300
think about well, no, you've got
to think about kind of the
164
00:11:16,300 --> 00:11:21,000
ramifications, the unintended
consequences and the risks, but
165
00:11:21,000 --> 00:11:23,700
I'm not too worried about humans
not having anything to do
166
00:11:23,700 --> 00:11:26,000
because I believe that humans
are very creative and they'll
167
00:11:26,100 --> 00:11:28,900
always find stuff to do and we
do have two.
168
00:11:29,100 --> 00:11:33,500
We do have to consider what it
means for, you know, wealth gaps
169
00:11:34,300 --> 00:11:39,200
and in a quality potentially, if
there's no way to get income but
170
00:11:39,200 --> 00:11:40,900
that's why I've been advocating
for.
171
00:11:41,100 --> 00:11:45,800
Young people to build equity, it
doesn't just have to be stock
172
00:11:45,800 --> 00:11:51,100
market, but build equity, go and
get equity in something and
173
00:11:51,100 --> 00:11:54,700
that's how you can get nonlinear
outcomes, right?
174
00:11:55,300 --> 00:12:00,100
Yep.
So now I'm going on on the same
175
00:12:00,100 --> 00:12:06,600
point and just at this is like
my own view on this is Yeah,
176
00:12:06,800 --> 00:12:13,700
Technologies change the
landscape like careers, get wipe
177
00:12:13,700 --> 00:12:17,600
out some jobs, get wiped out,
but I think with AI is like this
178
00:12:17,600 --> 00:12:20,500
augmentation.
That's right.
179
00:12:20,600 --> 00:12:22,700
Yeah.
So we've talked a lot about it
180
00:12:22,700 --> 00:12:27,400
in the show now here and I want
to come back to the financial
181
00:12:27,400 --> 00:12:31,000
part, like it requires some
human interaction, sometimes
182
00:12:31,000 --> 00:12:34,200
because let me ask you like,
from from what you are seeing
183
00:12:34,200 --> 00:12:38,700
now, how Act is now Example a
model like Chad GPT and
184
00:12:38,700 --> 00:12:42,900
predicting.
For example, how a stock will go
185
00:12:42,900 --> 00:12:47,400
up or down, maybe a crypto will
go up or down or down how much
186
00:12:47,400 --> 00:12:52,200
still it requires human, you
know, Intervention when it when
187
00:12:52,200 --> 00:12:55,500
it does the but supposed to do.
Yeah.
188
00:12:55,500 --> 00:13:02,300
I mean without using the API or
doing work on it, it's it's not
189
00:13:02,300 --> 00:13:07,000
it's not necessarily going to
be, lets say i a Our act, right?
190
00:13:07,000 --> 00:13:11,600
It's about the application and
how you use the generative AI to
191
00:13:11,600 --> 00:13:13,900
help you with what you're doing,
right?
192
00:13:13,900 --> 00:13:18,400
So can it help you build a
portfolio right based on your
193
00:13:18,400 --> 00:13:23,000
risk parameters on your goals on
kind of the things you want to
194
00:13:23,000 --> 00:13:25,600
do?
Can it help you research?
195
00:13:25,700 --> 00:13:31,700
Yes, you know, but it's going to
be a situation where You kind of
196
00:13:31,700 --> 00:13:34,600
get out.
It's not the same Netflix
197
00:13:34,600 --> 00:13:37,100
subscription for every user.
Some users are going to get a
198
00:13:37,108 --> 00:13:40,600
Lamborghini and some users are
going to get a Nissan Leaf.
199
00:13:41,500 --> 00:13:42,600
Yeah.
Yeah.
200
00:13:42,600 --> 00:13:44,100
I think the new sound leaves are
great.
201
00:13:44,100 --> 00:13:47,700
So you know like if that's just
a model portfolio where I can
202
00:13:47,700 --> 00:13:51,700
save you know ten percent of my
salary every year, that's going
203
00:13:51,700 --> 00:13:54,800
to be create amazing outcomes
for me, you know, and I don't
204
00:13:54,800 --> 00:13:59,200
have to do anything and it's you
know, very low fees, that's
205
00:13:59,400 --> 00:14:00,900
good.
But some people might want to
206
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Actually generate Alpha from the
platform and really kind of do
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creative things like create
multiple strategies and then
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potentially have kind of macro,
kind of an overarching macro,
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kind of risk situation where you
could use agents to do that for
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you.
So I would come back to the
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agents pod.
But, like you mentioned
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something about someone who can
create an alpha and someone who
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can create him something else.
I think the same concept of
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applying what's called prompt
Engineering.
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00:14:35,500 --> 00:14:37,600
Also applies when it comes to
here, right?
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Its massive.
Its massive from the prompts
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that you give this system,
massively, dictate the outcome
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for you and that's our challenge
is, how do we then intervene
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with the prompt to improve the
prompt?
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Hm said, then actually make sure
that there's a response worth
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having back And that you think
that is such a Charlie?
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00:15:01,200 --> 00:15:04,000
Do you think, do you think, do
you think even like someone like
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Google or open it by themselves?
They know how to enhance the
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prompt.
Well, they must be thinking
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about that, right?
Yeah, I've seen something very
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interesting.
I use a tool, maybe you know it
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it's called Jasper.
Jasper day.
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I so just what actually, it came
out.
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I think they were relying on
opening.
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00:15:25,300 --> 00:15:28,300
Our apis before chat, GPT came
out.
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Yeah.
And you know, they they can
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generate text and so on.
So now they got a function,
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which is very cool.
So when you type something in
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the chat box because they
converted, there you are, there
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you are.
I was like, you need to give
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00:15:42,300 --> 00:15:44,100
some, you know, like the
scripture.
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And what are you trying to
generate?
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And so on.
So now they made that as a chat
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00:15:49,400 --> 00:15:54,500
box, same as the chat G, PT 1,
and once you type the sentence,
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they have a small button that
says, enhance my chat.
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I mean, right, they do something
in the background.
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And then, for example, if I say,
I want a blog post for, I don't
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know, like something related to
fintech and I say, enhance this
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prompt, you get something
similar to this.
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00:16:14,200 --> 00:16:19,700
This, you are an experienced
writer in the sector of finance
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00:16:19,900 --> 00:16:24,300
and explosion in the technology
sector you have written a lot of
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00:16:24,300 --> 00:16:27,100
articles on the topic.
And today I want you to write
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00:16:27,100 --> 00:16:29,200
for me and article that
discussed, blah, blah, blah,
249
00:16:29,200 --> 00:16:32,500
blah, blah Arrow.
It's something new.
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That caught my attention and
always I'm asking, okay, like
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who really have the keys?
I would say to get the language
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00:16:40,900 --> 00:16:43,800
model to fully, you know, go
Full Throttle.
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I Are still in the early days in
the early stages here.
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00:16:48,200 --> 00:16:52,300
Yeah, really.
There's a long way to go because
255
00:16:52,300 --> 00:16:55,400
I always experiment Charlie and,
you know, I want to hear your
256
00:16:55,400 --> 00:17:00,000
experience every time and I
interact with chat GPT honestly
257
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every day.
So for the people who goes to my
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consultancy company website and
you see the about us.
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So, I have myself, I have, you
know, my partner and we have a
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logo for chat GPT and I call it
chief chief.
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Content officer.
Yeah.
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00:17:16,000 --> 00:17:21,900
So what's your experience in
this Charlie Island?
263
00:17:22,200 --> 00:17:26,500
We've been doing it for you know
we've been using Automation and
264
00:17:26,800 --> 00:17:33,400
GPT and you know other systems
specifically you know products
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that also help you build those
automated systems.
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We've been using them for years
and obviously we've been using
267
00:17:40,200 --> 00:17:44,100
them in our strategy to actually
execute our investing but also
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00:17:44,200 --> 00:17:47,800
Now, we're thinking about how do
we, how do we use it internally,
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you know, all of our developers
use co-pilots.
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And, you know, utilize that to
get better productivity.
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00:17:56,100 --> 00:17:58,500
You know, we're using the
assistant in are investing
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00:17:58,500 --> 00:18:05,400
research, you know, it's, it's
a, it's a great, it's a great
273
00:18:05,400 --> 00:18:08,900
tool, but I think, at the
moment, there's a long way to go
274
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in the product, like, I think
that all the products can
275
00:18:11,400 --> 00:18:15,300
improve a lot more.
Over the next couple of years
276
00:18:15,700 --> 00:18:17,500
and there's going to be a lot of
improvements that need to be
277
00:18:17,500 --> 00:18:21,100
made because it's still there is
still a level of, you know,
278
00:18:21,200 --> 00:18:24,800
okay, writing a blog post one
thing but you know making sure
279
00:18:24,800 --> 00:18:29,800
that your Investments and the
kind of strategies and their
280
00:18:29,800 --> 00:18:32,600
kind of mathematics is all
right, that's important.
281
00:18:32,700 --> 00:18:36,400
You know, I'm in blog posts are
important to write but like when
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00:18:36,400 --> 00:18:40,000
you're dealing with kind of
numbers and money, you need to
283
00:18:40,000 --> 00:18:44,000
make sure that like it's highly
accurate.
284
00:18:45,000 --> 00:18:48,000
Yeah, you you mentioned
something couple of times.
285
00:18:48,300 --> 00:18:51,900
You mentioned that automation
plus the AI.
286
00:18:52,500 --> 00:18:57,700
Now, I've covered something
related to these autonomous
287
00:18:57,800 --> 00:19:00,100
robots.
You know, like something like
288
00:19:00,100 --> 00:19:07,500
Auto GP T there is ba ba GI, Do
you think like really, we can
289
00:19:07,500 --> 00:19:11,900
reach a phase where let's say
myself?
290
00:19:11,900 --> 00:19:16,200
I just have an idea in my mind,
I go give it to the boss and the
291
00:19:16,200 --> 00:19:18,900
boss will do it for me.
Are we going to reach something
292
00:19:18,900 --> 00:19:23,400
similar?
Well, at the moment is have to
293
00:19:23,400 --> 00:19:28,900
be at asses kind of repetitive
and known every time but you
294
00:19:28,900 --> 00:19:31,300
wouldn't be able to be like,
will go create me this business.
295
00:19:32,900 --> 00:19:35,700
Well, you might be able to, you
might be able to create some
296
00:19:35,700 --> 00:19:38,900
light, very known businesses,
you know, you might be able to
297
00:19:38,908 --> 00:19:41,600
give an agent in the
not-too-distant future like you
298
00:19:41,600 --> 00:19:44,100
know, Make Me A Drop Shipping
business and maybe it can
299
00:19:44,100 --> 00:19:47,700
actually work it out.
There's no real reason for it to
300
00:19:47,700 --> 00:19:52,100
not write, whether it makes any
money is a different story of
301
00:19:52,100 --> 00:19:56,200
course.
But you know that that I can see
302
00:19:56,200 --> 00:20:00,600
being you know, potentially
doable and I did and I think
303
00:20:00,600 --> 00:20:03,800
that, you know, in the next five
years With what we're doing and
304
00:20:03,800 --> 00:20:08,100
we've got other companies are
doing you know you one or two
305
00:20:08,100 --> 00:20:12,300
people could be having the power
of you know a hedge fund, you
306
00:20:12,300 --> 00:20:17,300
know.
Yeah yeah I think Charlie to
307
00:20:17,300 --> 00:20:20,400
your point maybe it's not like
they will come up with the
308
00:20:20,400 --> 00:20:26,200
business idea but something I
had a conversation with a friend
309
00:20:26,200 --> 00:20:29,600
the other day and I said listen
we will come up with the idea
310
00:20:29,600 --> 00:20:34,700
but imagine for example there's
A bought an AI powered boat,
311
00:20:34,700 --> 00:20:37,200
that goes and do all the heavy
lifting for us.
312
00:20:37,200 --> 00:20:41,100
For example, we have an idea, we
give the idea that and then it
313
00:20:41,100 --> 00:20:46,300
would go, give a business name.
Find a domain registered, the
314
00:20:46,300 --> 00:20:50,600
domain build a website building,
build landing pages, social
315
00:20:50,600 --> 00:20:54,300
media handles, you know, and
once it's done, come, hey, I've
316
00:20:54,300 --> 00:20:55,800
done this.
What should I do next?
317
00:20:55,800 --> 00:20:57,600
Okay.
Go and start to do marketing
318
00:20:58,200 --> 00:21:00,500
next.
So, of course, and this is why
319
00:21:00,600 --> 00:21:03,900
I'm giving this example for
people, People who are listening
320
00:21:04,400 --> 00:21:07,900
like, guys don't be afraid of a
I like because you are in the
321
00:21:07,900 --> 00:21:09,800
control all the time.
You wanted to say something
322
00:21:09,800 --> 00:21:13,500
Charlie anything.
Oh well, no, I just thought that
323
00:21:13,500 --> 00:21:15,500
was really interesting.
Yeah, you could definitely use
324
00:21:16,400 --> 00:21:20,800
generative AI to kind of see the
business right with a prompt and
325
00:21:20,800 --> 00:21:24,000
then go and do all your setup
process.
326
00:21:24,800 --> 00:21:27,100
Give you options of different
domains give you options of
327
00:21:27,100 --> 00:21:31,000
different handles.
There's no reason why that yeah
328
00:21:31,000 --> 00:21:33,300
that that's achievable and
they're like you say that you
329
00:21:33,300 --> 00:21:38,700
know we are the composers of of
the system still, right?
330
00:21:38,700 --> 00:21:44,100
Absolutely. 100%.
Actually it was for fun and it
331
00:21:44,100 --> 00:21:49,600
was like, it went viral.
Someone who let Chad GPT act as
332
00:21:49,600 --> 00:21:53,500
hustle, hustle GPT.
If you have seen this one, you
333
00:21:53,500 --> 00:22:00,000
know, as I have a, yeah, I have
even some like friends that they
334
00:22:00,000 --> 00:22:03,200
tried it.
I've seen two scenarios.
335
00:22:03,200 --> 00:22:05,900
I've seen one where they were
able to sell.
336
00:22:06,000 --> 00:22:07,700
Actually they came up with an
idea.
337
00:22:07,700 --> 00:22:09,900
They build it quickly on a new
coat too well.
338
00:22:09,900 --> 00:22:12,600
And then they sold.
For I think for like five
339
00:22:12,600 --> 00:22:15,600
hundred dollars and then the
next challenge back was to make
340
00:22:15,600 --> 00:22:19,000
something big, I need to check
what's happened later but you
341
00:22:19,000 --> 00:22:22,700
know, the aim was to sell, I
mean to create the website and
342
00:22:22,700 --> 00:22:24,600
then sell it for five thousand
dollars.
343
00:22:25,100 --> 00:22:26,600
So right.
Yeah.
344
00:22:26,600 --> 00:22:29,500
But again, like we will be in
control all the time.
345
00:22:29,900 --> 00:22:40,300
Now besides I would say you
know, fintech and trading where
346
00:22:40,300 --> 00:22:44,300
other Other hot Trends.
Are you seeing where Religion
347
00:22:44,300 --> 00:22:46,500
Today?
I can intersect and can disrupt
348
00:22:46,500 --> 00:22:49,600
markets.
Mmm legal.
349
00:22:50,100 --> 00:22:57,700
I think that's obvious.
Okay, attacks and kind of
350
00:22:57,700 --> 00:23:06,500
accounting therapy, potentially,
I'd say, okay, that's a bit of a
351
00:23:06,500 --> 00:23:10,500
random one.
But I think that It might be the
352
00:23:10,500 --> 00:23:15,400
right time and people might
adopt that sort of thing.
353
00:23:15,900 --> 00:23:17,600
I don't know what the
regulation.
354
00:23:17,700 --> 00:23:20,600
Kind of free space would look
like in that, I think that would
355
00:23:20,600 --> 00:23:24,300
be pretty difficult.
I think that doctors could
356
00:23:24,300 --> 00:23:30,800
easily utilize it when it comes
to getting the right information
357
00:23:31,600 --> 00:23:35,100
and then analyzing it across
their, you know, their database
358
00:23:35,100 --> 00:23:37,600
of history and diagnosis.
Yeah.
359
00:23:37,600 --> 00:23:40,800
But also just helping dictation
and making sure that the date
360
00:23:40,800 --> 00:23:44,600
they say you've got in your
system is accurate and you can
361
00:23:44,600 --> 00:23:47,300
have picking out all the things.
Yep.
362
00:23:47,800 --> 00:23:54,700
So I mean, I think it's going
to, you know, move across all
363
00:23:55,000 --> 00:23:57,700
areas.
Yeah, we're going to have
364
00:23:57,700 --> 00:24:00,700
exciting times.
I had that would say well we
365
00:24:01,200 --> 00:24:05,100
interesting so because of all of
this generative, AI in the
366
00:24:05,300 --> 00:24:09,200
increase in demand.
And of data, all the data costs
367
00:24:09,200 --> 00:24:13,200
are going up dramatically which
is going to create inflationary
368
00:24:13,200 --> 00:24:17,100
pressures.
But then the AI conversely will
369
00:24:17,100 --> 00:24:20,700
create deflationary pressures.
So this will be very
370
00:24:20,700 --> 00:24:23,900
interesting, very, very
interesting indeed.
371
00:24:24,100 --> 00:24:28,100
Now Charlie, make sure thing
little bit gives you.
372
00:24:28,100 --> 00:24:32,300
You've been, you know, you told
me you started with the gaming
373
00:24:32,300 --> 00:24:34,500
and you know, then you did this
his shift.
374
00:24:37,000 --> 00:24:41,500
What do you advise fellow?
People who are interested to
375
00:24:41,500 --> 00:24:43,300
take same path?
Like, I'm sure like you have a
376
00:24:43,300 --> 00:24:48,100
lot of out, say things that you
learn down the road and you tell
377
00:24:48,100 --> 00:24:51,100
yourself, I wish I knew that
before.
378
00:24:51,100 --> 00:24:55,100
So what are like this in terms
of being a Founder in terms of
379
00:24:55,100 --> 00:24:57,700
being a Founder?
Yes, it don't forget founder.
380
00:24:57,700 --> 00:24:58,900
Yeah.
Yeah.
381
00:24:59,600 --> 00:25:06,400
Being a Founder is Is
interesting and it's a very
382
00:25:06,900 --> 00:25:12,400
fulfilling path.
But, you know, I read a book
383
00:25:12,400 --> 00:25:14,600
once called.
I'm thinking in bets it's by a
384
00:25:14,608 --> 00:25:17,400
poker player.
Professional female poker
385
00:25:17,400 --> 00:25:20,200
player.
I've seen the video above the,
386
00:25:20,200 --> 00:25:20,800
yeah.
I know.
387
00:25:22,400 --> 00:25:26,600
And you know for me one of the
most important things has been
388
00:25:27,300 --> 00:25:31,700
that basically I detach the
outcome from the decision.
389
00:25:32,500 --> 00:25:37,800
So when I decide to build a
gaming startup I want to be
390
00:25:37,800 --> 00:25:42,000
happy because I want it to be
obviously a profitable Endeavor
391
00:25:42,000 --> 00:25:44,300
or because I want to solve a
specific problem.
392
00:25:44,300 --> 00:25:47,500
Or I want to help Gamers like
get involved into Esports and
393
00:25:47,800 --> 00:25:50,600
Fillmore rewarded from their
effort and passion they have for
394
00:25:50,600 --> 00:25:54,300
gaming.
And then, you know, if I make
395
00:25:54,300 --> 00:25:57,000
the decision build that
business, you know, I am I happy
396
00:25:57,000 --> 00:25:59,400
with the decision, right?
Doesn't matter.
397
00:25:59,400 --> 00:26:02,700
Knows so much about the outcome.
Like, I have some desired
398
00:26:02,700 --> 00:26:07,000
outcomes and I have some
undesirable outcomes but that
399
00:26:07,000 --> 00:26:10,800
isn't, you know, my kind of
thing I'd say is like, you know
400
00:26:10,800 --> 00:26:13,200
kind of focus on trying to make
really good decisions with the
401
00:26:13,208 --> 00:26:17,000
information you have and they're
not being too concerned, not
402
00:26:17,100 --> 00:26:19,000
going to be concerned about the
outcomes but you don't I mean
403
00:26:19,000 --> 00:26:22,600
like it's you know, it's about
kind of Not worrying about the
404
00:26:22,600 --> 00:26:25,700
outcome.
So it's fine to to fail in a
405
00:26:25,700 --> 00:26:27,400
sense.
Like don't be afraid of failure
406
00:26:27,400 --> 00:26:29,600
because you're gonna, you know,
do mistakes.
407
00:26:30,300 --> 00:26:33,800
Well, you know, there's a Howard
marks is a famous investor and
408
00:26:33,800 --> 00:26:36,700
he had hit this meant famous
than my right was.
409
00:26:36,700 --> 00:26:41,100
I beg to differ, mmm and the beg
I beg to differ.
410
00:26:42,000 --> 00:26:46,300
Memo was all about if you want
to get better than average
411
00:26:46,300 --> 00:26:49,700
returns, you have to be
different from the market.
412
00:26:51,000 --> 00:26:52,400
And that's where the I beg to
differ.
413
00:26:52,400 --> 00:26:56,800
Everyone wants to differ from
the market, but if they differ
414
00:26:56,800 --> 00:26:59,800
from the market, they risk
losing more than the market and
415
00:26:59,800 --> 00:27:04,700
underperforming.
Yes, and ultimately, you just
416
00:27:04,700 --> 00:27:10,800
got to try and, you know, be
different so that you can
417
00:27:12,600 --> 00:27:16,400
provide something kind of new to
the market and value to kind of
418
00:27:16,800 --> 00:27:20,100
the things you're doing.
Yeah, I agree with you on this
419
00:27:20,100 --> 00:27:22,800
one.
Charlie Charlie, as we come to,
420
00:27:22,800 --> 00:27:26,000
you know, almost all to the end.
I have a famous question.
421
00:27:26,500 --> 00:27:30,200
What is the question that you
wished me to ask?
422
00:27:31,600 --> 00:27:34,200
Can you repeat that please?
What is the question that you
423
00:27:34,200 --> 00:27:35,200
wished?
I asked you.
424
00:27:36,100 --> 00:27:42,900
Uh-oh, there was a, I went on a
podcast recently and the
425
00:27:42,900 --> 00:27:50,600
question they asked was what's
the one thing I could give you.
426
00:27:51,400 --> 00:27:52,600
No.
What's the one thing?
427
00:27:52,600 --> 00:27:56,100
I could give the audience that I
think everyone should like have
428
00:27:56,100 --> 00:27:57,900
listen to or read.
Mmm.
429
00:27:58,200 --> 00:28:01,300
And I would say it's the no
vowel podcast, how to get rich
430
00:28:01,300 --> 00:28:04,200
without getting lucky Gabriella
podcast.
431
00:28:04,200 --> 00:28:09,000
But it's revolutionary.
I think I'd like to listen to it
432
00:28:09,000 --> 00:28:12,400
but I get the book, but it's
good.
433
00:28:12,800 --> 00:28:16,500
The almanac and I'm like yeah
it's an eye-opener actually.
434
00:28:16,600 --> 00:28:19,500
It's a very good book.
I advise everyone I think.
435
00:28:19,500 --> 00:28:23,000
Yeah.
I'm bootstrapping my podcast.
436
00:28:23,000 --> 00:28:24,700
So guys.
Yeah, I think we need to
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00:28:24,700 --> 00:28:26,900
dedicate some episodes, just
about books.
438
00:28:26,900 --> 00:28:30,000
So let's see when we can delay.
Yeah, sure.
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00:28:31,000 --> 00:28:35,400
Charlie like really, I enjoyed
the discussion, how I will make
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00:28:35,400 --> 00:28:38,600
sure that people can have a look
on Gambit.
441
00:28:38,900 --> 00:28:44,400
All right, so I'll put the link
in the episode this mean
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00:28:44,400 --> 00:28:49,200
description and also it will be
0 on YouTube you can as you can
443
00:28:49,200 --> 00:28:54,100
see now on Notify Apple podcast
and all your favorite podcasting
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00:28:54,100 --> 00:28:56,700
platforms.
Thank you very much Charlie for
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00:28:56,700 --> 00:29:00,600
being with us here today and for
my audience, as usual, if you
446
00:29:00,600 --> 00:29:04,900
are first time here and you
watching this on YouTube, don't
447
00:29:04,900 --> 00:29:09,100
forget to subscribe and give us
a like if you are listening on
448
00:29:09,100 --> 00:29:10,700
your favorite podcasting
platform.
449
00:29:10,700 --> 00:29:13,600
Also, don't forget to subscribe
to the podcast.
450
00:29:13,600 --> 00:29:17,400
We are trying to get really good
content, and as you can see, we
451
00:29:17,400 --> 00:29:20,200
have the best of the best, like,
Charlie walser's as today, he's
452
00:29:20,200 --> 00:29:22,800
the CEO.
CEO of Gambit and we have a
453
00:29:22,800 --> 00:29:29,600
lineup of seos also coming and I
hope as always to give me your
454
00:29:29,600 --> 00:29:32,600
feedback.
If you have any questions, get
455
00:29:32,600 --> 00:29:36,300
them to me, you can reach out to
me by email LinkedIn or Twitter,
456
00:29:36,300 --> 00:29:39,800
but I am the most active.
If you are also interested to be
457
00:29:39,800 --> 00:29:42,700
a guest on the show, like,
Charlie was today, don't
458
00:29:42,700 --> 00:29:44,500
hesitate to get in touch with
me.
459
00:29:44,500 --> 00:29:46,700
I would be more than happy to
discuss this as well.
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00:29:47,100 --> 00:29:51,100
And as I say at the end, until
we meet the next, Episode.
461
00:29:51,100 --> 00:29:52,600
Thank you very much.
Bye bye.
462
00:29:54,600 --> 00:29:57,400
Hit that subscribe button.
Share the show with your
463
00:29:57,400 --> 00:30:00,700
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464
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465
00:30:03,100 --> 00:30:05,800
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