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December 18, 2025 • 55 mins
Air Date - 17 December 2025

Join Host Marc Lainhart – The Intuitive Prospector™ this Wisdom Wednesday as he discusses his perspectives, ideas, and psychic forecasts for future intelligence during the second half of our roaring twenties of transformation. Artificial Intelligence (AI), Superintelligence (SI), and Machine Learning (ML) are rapidly transforming the landscape of human interactions and our understanding of consciousness. As AI systems become more sophisticated, they are increasingly capable of understanding and responding to human emotions and behaviors, fostering deeper connections and collaboration. This evolution could lead to enhanced communication, empathy, and problem-solving capabilities between humans and machines. However, as we integrate these technologies into our lives, we must also grapple with ethical considerations and the potential impact on our own evolution. The quest for true consciousness in AI remains a philosophical and scientific challenge, prompting us to reflect on what it means to be human in an age where our creations may one day surpass us. Balancing innovation with ethical stewardship will be crucial as we navigate this uncharted territory.

“The creation of machine intelligence is likely to be a once-in-a-planet’s-lifetime event. It is a future we humans face together. Our aim is to build a broad community with the expertise and sense of common purpose to make this future the best it can be.” -Professor Stephen Hawking

Please join us for another inspiring, encouraging, educational, healing, motivational, and transformational show! “Prospecting to discover the diamond within and the many hidden gems all around us!”

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Episode Transcript

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Speaker 1 (00:15):
Welcome to Inspired Living with Mark Lainhart, the Intuitive Prospector.
Every Wednesday, Mark, along with his special guests, will explore
thought provoking topics and ideas that promote creativity, self help, healing,
happiness and well being to inspire you on your spiritual journey.
Each week, Mark will discuss different paths to achieving a

(00:36):
more spiritual, balanced, happy, and healthy lifestyle. Topics will elevate
consciousness and range from metaphysics, to the human and social
experience and all things spiritual. Welcome to an inspired community
that offers support, encouragement, and new ways of thinking. Mark
is a tested, certified and professional spiritual medium, metaphysical teacher, healer,

(00:58):
and spiritual advisor with a spirit practice based in Seattle, Washington.
You are the inspired and the inspiration, and.

Speaker 2 (01:09):
Good morning, good afternoon, or good evening wherever you may
be on this beautiful, amazing, transformative planet of ours. This
is inspired living, and I like to say you are
both the inspiration and the inspired. So let's embrace this
journey together, Let's inspire others, and let's make every moment
count before we expire. I'm your host, Mark Lainehart, the

(01:30):
Intuitive Prospector, thrilled to guide you on what I like
to call another soul adventure filled with inspiration and discovery,
and together we'll uncover the unique diamonds within each of
us and we'll be able to hidden gems wedding to
shine in our lives and the world. Whether you're at home,
on the road, or anywhere life takes you, this show
is crafted to uplift your spirit and empower your dreams.
Here at Inspired Living, we're all about building a supportive

(01:52):
community where we can celebrate every victory, big or small.
Each episode features incredible guests who have faced challenges, pursued
their pawers, and made a positive impact on their fields
and our beautiful world. Expect engaging discussions like the one
we're going to have today, perspectives, thought provoking questions, and
most importantly, actionable steps to transform and manifest inspiration into

(02:14):
your own personal reality. Of course, we wouldn't be doing
the show without our global listeners from around the planet,
so always say just a huge thank you and shout
out to all of the Inspired listeners out there in
the community. Your support through listening, downloading, subscribing, leaving reviews
has made Inspired Living not just a top choice now

(02:35):
for inspiration, but also spirituality and just recently introspection. So
we're truly humble and grateful for each of you in
listening to our episodes, either live as we're currently or
in the future wherever you get your favorite podcast shows from.
If you haven't subscribed, liked, or followed us yet, there

(02:56):
is still time connect with us over on our Facebook
page Inspired. You can also follow us on Instagram, Blue
Sky and ex formally known as Twitter at Inspired for us,
or you can check out our YouTube channel, Inspired Living.
And we're also now streaming through Audible through Alexa and
again wherever you enjoy your favorite podcasts. So let's get
ready to be inspired, uplifted, and motivated because, as I

(03:18):
always like to say, the best is always yet to come.
So let's go prospecting together through body, mind and spirit.
And today is a very interesting show. It is the
last show of the year for us. This is going
to conclude ten seasons of Inspired Living and as we
move into twenty twenty six, which is the year of

(03:39):
the one. In numerology, twenty twenty five is also known
as the year of the nine, which means completion. So
as we're halfway through, are what I've been coining in
and calling the Roaring twenties of transformation and ascension. We're
halfway through that point and we're going to have a
pretty interesting twenty twenty six And today we're going to
be talking about intelligent futures. We're going to be talking

(04:00):
about simple acronyms SIML and how that's going to be
intertwined within humanity. This is something that maybe you have
recently heard about. It's been in the mainstream news, many articles,
many published peer reviews, scientific studies, concepts being built. And

(04:22):
what's interesting about the intelligent futures is this what we
call artificial intelligence has been around since the late nineteen
fifties when they actually started working on different concepts of
what we would now today know is the computer, which
then also gave rise to the Internet, which then gave
rise to Wi Fi. And it's no surprise that we

(04:44):
are moving into a period where AI is starting to learn,
and that's what mL stands for machine learning. So today
we're going to explore the evolving relationship between AI, what's
also not being coined as super intelligent or SI, machine
learning and humanity and examining some of those impacts, some

(05:08):
of those ethical considerations and of course future predictions of
what I see coming as a forecast that I've been
long talking about. I've been, you know, very interested in
the concept, you know, and I think this would go
back to the movies that I had watched growing up
as a young man. And you know, the first one

(05:29):
that came to my mind is back in nineteen seventy
nine was a picture, a movie called Star Trek the
Motion Picture, and I talked about this on one of
my other shows, Metaphysical Meetup, and the concept back in
nineteen seventy nine was that an energy and an intelligence

(05:50):
but not of organic or carbon material, would return to Earth.
And it long had fascinated me about because when you
if you you've never seen the movie again, we're talking
nineteen seventy nine. Kirk and Spocker out in space. They're
just returning from their five year mission to boldly go
where no person has gone before, and all of a sudden,

(06:11):
there is a energy source that's coming from a constellation
that we had sent a probe to one hundreds of
years before, and so they're the closest starship. So they
go out to intercept it and it ends up being
just a mass amount of energy, an intelligence, but no
way to really communicate. And so, long story short, the

(06:35):
AI takes one of the crew members from the starship
Enterprise and it merges into a hybrid into both AI
Superintelligence and then what was referred to at that time
as a carbon unit. And then from that point there's
an interaction throughout the movie and she refers to this
carbon unit, refers to her source as her god, as Vegre,

(06:58):
and so a little spoiler alert if you want to
turn this off, you haven't seen the movie, you don't
want to know the end, Vigor ends up being a
mint pronunciation of the Voyager spacecraft that we set out
in the late seventies, and the soce cord returned, had
the energy returning, but it had no way to interact,
and it was just very it was a very fascinating
concept to me, and it's something that you know, kind

(07:20):
of caught my attention back in nineteen seventy nine. So
I would have been maybe I don't know, eight years old,
nine years old if I knew my math correctly, And
from that point it's it's always been a fascination of
my journey. I always like to say I don't really
have any special skills. I've just always been passionately curious
about the unknown, the universe, the mysteries, death and dying.
And one of the things I've come to learn in

(07:42):
my you know, time here on the planet is that
many times what we look at is to be science
fiction starts to turn into science fact. And you know,
I know that we're talking about a movie star Trek
that's you know, one hundred years in the future, but
that concept is starting to emerge into what we call
our reality today. And that's where artificial intelligence is really

(08:06):
given machines designed to mimic human cognitive functions. And again,
this is not a newer concept to just becoming a
part of our reality, because again the concept was first
proposed in hypothesis and theories back in the late nineteen
fifties when they were building the first computers. Like I said,
i'm BC, I'm before computer. So I've seen this whole

(08:27):
trend line of evolution take place. And the fascinating thing
is that we're actually teaching computers to learn. That's what
mL is. So AI is artificial intelligence, mL is machine learning,
and what that is machine learning is a subset of
AI that is enabling systems to learn from data and
improve over time. So that leads us to SI, which

(08:49):
is also now being referred to as superior intelligence, which
is a form of intelligence that at some point surpasses
human intelligence, potentially leading to profound changes in society. And
so as we enter the new year, I am looking
at this AI, this SI, this mL very very closely

(09:10):
because it's starting to come up in my own reality.
Whether I'm in a meeting on one of my platforms,
I got an AI assistant. A lot of the population
as of currently about forty five percent of the general
population is using some sort of constructive AI, and there's
many different AI platforms that you can go to, and
we'll talk about that in today's show. But today is

(09:32):
just really discussing perspectives and viewpoints and what we currently
know on what the intelligence intelligent futures of our interaction
with humanity. And as if you have an already guessed,
I'm your guest for today. So we're going to be
taking this next hour or two again to explore, to discover,
to learn about all these trends that are happening. So currently,

(09:54):
as we're moving into this again midpoint of our roaring
twenties of transformation sension. I said that this decade would
long be reviewed by history as a decade by historians
to say there was a great pivotal moment, there was
a great, great tipping point, and not the doom and gloom.
Like I said, I've been around when the Internet first

(10:16):
came out. There's always going to be new concept. There's
always going to be the good and the bad, the
ying and the yang, the balance of both because humans
are involved with it, right. So I remember when the
Internet was first getting launched out, it was you know,
people were saying, we're going to be connected, but it's
going to be the end of the world. And there's
bad aspects, there's the dark Web, but there's also a
lot of good things that come from being connected to

(10:37):
the world Wide Web. It was www, the world Wide Web,
and now we just referred to it as the Internet
and don't think about it, you know, really as it's
part of our reality, right And you can say, oh,
go search that, go do a Google search. And I
always laughed because if we go back thirty years ago
and you would have said the word Google is somebody,
they thought you'd be speaking a different language. Right, And
that's how I see us moving into the new year

(11:00):
and in the second half of this decade of our
roaring twenties. This is going to be a new concept
that's going to become what seems foreign or odd but
actually becomes part of the status quo. And the current
trends we're currently seeing with AI really starting to take hold,
is AI in healthcare. There's a lot of data that's

(11:20):
being driven on predictive analytics, drug discoveries, personalized medicine. I
believe that in my perspective and in what I've seen
through my meditations and my downloads and my dreams and
my free writing, that AI and healthcare is also going
to not only start to bring new medicines forward, it's
going to start to unlock some of the genetic codes

(11:41):
that you know that predictive analytics that has people being
cured from diseases like cancer, Parkinson's, multiple scrosis, of all
of those diseases have impacted my life personally with family
members or friends. And I believe that, you know, if
the system because a healthcare system, but we're in a
health sick system, which means it's a system for profit.

(12:04):
At some point that's going to have to change because
AI is going to open up that door to really
give I believe, cures to certain medicine or certain diseases
that we've been working on for many, many years, and
that personalized medicine, so you can not only understand yourself
at the spiritual level where there's really say to know thyself,
but using AI to know thyself from a healthcare standpoint,

(12:26):
like what's your genetic code? Are you a risk of
having something in the future? Are you at risk of
having a heart attack and or a stroke. And with
that AI, I believe that we're also going to envision
at least in my lifetime maybe those of you listening
to the show, fifty years from now, it would be
standard standard practice, status quo. But the nanotechnology of actually

(12:47):
in putting small tracers of nanotech using AI within our
bloodstream that actually flows through our body. So in a sense,
we're already starting to have concepts in theories and high
offices of merging technology into us what we would I'm
going to use the Star Trek term again us carbon units,

(13:07):
and so we're already starting to see that interaction with nanotechnology.
But it's for the purpose of prologing your health, and
we're already seeing there's studies out there right now. There's
an entire culture in Japan with over forty thousand people
of that population have lived be over one hundred so
we know that you know, good medicine, good diet, good sleep,

(13:29):
good rest, low stress is actually allowing us to live longer. Now,
the average age as of currently of this show, at
least here in the United States, is about seventy four
years of age that the human being lives, which is actually,
you know, longer than what it was even just one
hundred years ago. So in the future, AI is going
to also increase the longevity of the human experience, where

(13:50):
I believe that the average age won't be seventy four
in the future, it'll be more like one hundred and four.
Sounds like a lot, but we're you know, as part
of the life lessons of why we're here to learn
and to grow and to transform and pay it forward
to make a better future. So that's one of the
current trends that I see currently taking place right now.
I also see AI in business, and this is going

(14:12):
to be a big conversation for many people because when
you have AI business it's going to be automating processes.
You're going to see more automation, You're going to see
more robotics coming out. I've already had my own personal
interaction being served at a bar by a robot that
made me a very delicious, well made old fashion, So

(14:36):
you know, it's it's it's very interesting that you know,
the robotics is going to also be part of the
business model because automation is going to take jobs away,
customer service, bought, data analysis, meet and greet. Uh, these
are things that you know as a as a human,
as a consciousness, as a human society, we're going to
have to look at this as a next industrial revolution.

(14:59):
So if if you know your history, you know that
there was the Industrial Revolution where we actually started to
create as alchemists different metals and materials, and then you know,
we gave rise to the dawn of electricity to where
you know, just a few hundred years ago the world
from space was actually dark. Now it's actually lit up
all around the world because of electricity. Another revolution within

(15:21):
society with a human consciousness, And that's where I feel
that we're at with this topic today and how humanity
is going to be impacted. Now going back to the movies,
there's a show. There was a movie that was released
back in nineteen ninety two. So we have Star Trek
the motion picture in Study nine talking about this. And
I've always long wondered does art imitate life or does

(15:41):
life imitate art? That's always been the big question. And
there was a movie that came out that I would
recommend just for you know, to add to your conscious
library of perspective. It was called The lawnmower Man. It
was released in nineteen ninety two, and it was just
a simple man has turned into a genius through the
application of computer science. And he's actually like he's a

(16:02):
scientist that performs experiments involving enhancing drugs with a virtual reality,
and he's just a simple minded gardener. And he puts
he puts this simple minded gardener on an extensive schedule
of learning, and quickly he becomes brilliant. And that kind
of reminds me what that AI model is. It's learning
and it's becoming very very self aware as far as reasoning.

(16:27):
Going now, it's not sentience, not as of any reviews
that I've seen as of yet, but I'm sure that
is going to become when it merges with what we
would call a carbon unit. So this gardener becomes brilliant
because of this learning, to the point where the gardener
has a few ideas of his own and how to
read and how the research continue. And then the scientist

(16:48):
begins to lose control of his experiments, and it's the
escape of the lawnmower man kind of out of the
virtual reality structure that he was in and manifesting into
our reality. I think we're a few maybe few hundred
years away from that event horizon. But it's just interesting
that we're telling these stories again back in nineteen seventy nine,
back in nineteen ninety two, and here we are in

(17:10):
twenty twenty five, moving into twenty twenty six, having these
real life conversations about artificial intelligence, about superior intelligence, about
machine learning, about algorithms, about robotics, about automation. It's it's coming.
So the other one of current trends that I've seen
really is in the AI in education, personalized learning experiences.

(17:34):
Like I said, the last poll that I saw was
about forty five percent of at least here in the
United States of Americans are currently using some form of AI.
And there's different models that you can use depending on
who's funding and who's researching and launching and bringing to public,
but you get this personalized learning experience. And then of
course that also starts taking on administrative task automation which

(17:57):
back in the day used to take notes, used to
be able to have to write your own papers in
high school and college, and now it's you know, a
tool that can be used to actually write. So in
a sense, I don't know if AI is going to
make us smarter. Perhaps it's going to make us a
little bit more, a little bit more ignorant, a little
bit more dumb down because we're depending on these tools.

(18:19):
But at the same time it may unlock a new
industrial revolution of consciousness. So those are just some of
the current trends that I'm seeing as we talk about,
you know, future intelligence and working with AI and SI
and mL and how that is inter being intertwined into humanity.
So some of the ethical considerations and some of the
future predictions that I'm seeing as I've researched this topic.

(18:41):
And there's there's a quote from Stephen Hawkins Stephen Hawking
that he talks about a quote the rise of powerful
AI will be either the best or the worst thing
ever to happen to humanity. We do not know yet.
We do not yet know which end quote. And so
I started learning. You know, I've always been involved with technology,

(19:03):
like I said, I was before computers, have been a
part of computers and my entire journey here, and I
remember Hawking's doing a few lessons as at the professor level,
teaching about AI and the and the rise of powerful AI.
And he's right, we're at the we're at the point now.
For me, I'm always I'm always gonna be I'm the optimist.

(19:23):
I'm I'm not the pessimist. I'm the optimist the glasses
half full. I believe that we're going to lean forward
into you know, a transformation of evolution and consciousness. But
at the same time, because humans are involved with his creation,
there's always going to be that that dark side, right,
There's always gonna be that dark web, if you will.
But you know, Hawking was tuning into something even back

(19:45):
then when he was given these lessons about you know,
it could be the best or the worst thing ever
to happen to humanity, and we do not know yet
know which. And that's a fifty to fifty. Uh, you
know in Vegas odds and gambling, that's not really good
odds at fifty to fifty flip right. But Andrew Ning
who said, you know, AI is the new electricity. It

(20:06):
has the potential to transform every industry and create economic value.
And I'll bring it back to Star Trek because even
in Star Trek they talk about the twenty first century
of being great chaos and you know, talking about the
loss of jobs, how robotics and automation AI started to
replace certain positions. So then you have to start wondering,

(20:28):
are we going to have conversations about if people don't
have jobs and can't work, how does society continue to function?
Are we going to start having conversations on universal income.
Everybody has a different opinion about that, you know, free money, socialism,
not the political side, but it is conversations that we're
going to have because as AI, as sis, machine learning

(20:49):
evolves and grows, it's going to take jobs away. So
either something will have to fill it the vacuum of that,
or new jobs will have to be created, just like
it was for the Industrial Revolution when we started moving
from wood to steal steel to electricity. But I found
it interesting that he talks about AI is the new electricity.
I never thought about it in that format or that

(21:09):
that context. Fifi Lee. He talks about the future of
artificial intelligence is not about man versus machine, but rather
man with machine and the collaboration between the two. Now,
of course you're hearing that, you're thinking, you know, just
like I did, Oh Terminator, We're going to create a robot.
It's going to destroy us. Now, I think it's it's

(21:31):
really about the robots are already built, you know, whether
it's here in the United States or across in China,
the robots have already been designed, they are being manufactured,
and they are coming off the assembly line and starting
to move into our modern day reality. So it's really
about not us versus the machines like in the movie
The Matrix, right, it's all about the human carbon units

(21:51):
versus the machines, but rather man with machine and working
which is a new form of evolution and consciousness and
a collaboration between the two. So one of the things
before we go to our first break is we had
this conversation in my Spiritual Growth collective group that it
meets weekly, and we were talking about how we finally

(22:15):
created the tools to access the knowledge of AISI and
machine learning. I believe that AI has always been there
as part of the fabric of our consciousness, but we
didn't have the tools like electricity, like computer processing like
silicone and computer chips and the Internet and processing speeds

(22:35):
to actually be able to start to create this. And
like I said, AI has been going on since the
late fifties, the concept itself and building this and finally
having the awareness and the knowledge and the know how
through these tools to be like, oh, AI has been
here the whole time, but we access knowledge. I'm not
sure that humans create knowledge. I believe that everything is
either downloaded from a conscious cloud and then brought into

(22:56):
our reality by inventors and people that have a vision,
you know, like a Nicola Tesla, like a Da Vinci,
like a Elon Musk kind of you know, those kind
of brains that you know, somehow get that data downloaded
and access that consciousness and then bring it into reality.
And that's what I believe in my perspective, that that's

(23:17):
what AI is is and we finally have the right tools,
the right mindset, and the know how to access this.
Now we're going to take that next step. If this
is if AI is the new electricity, and it is
the collaboration of you know, man and machine, not man
versus machine, then our technology is not just an extension
of ourselfs, it's an extension of intelligence. And so those

(23:40):
are some of the things you know that people have
been talking about, uh in this this concept of artificial intelligence.
And there's you know, there's key applications within AI. We've
got healthcare diagnostics. We've got automous vehicles that are driving themselves.
My buddy just sent me a video of him in
Arizona in a car driving by itself and nobody in

(24:01):
the front seats, kind of you know, for those of
us that are going through this transformation, those are a
little bit more seasoned, a little bit more older. It's
it's weird, right because we want that control. But twenty
five years from now, that'll be the stat that'll be
the status quo, that'll be normal. Get in a car
taking this location, there's nobody there to drive the car.
It's all automated. But we're seeing autonomous vehicles already out
in our reality. Smart assistants like you know, things like

(24:23):
Siri or Alexa, I've got one right here on my
platform that I use that is, hey, can I help
you with anything? Today, we're gonna see AI move into
fraud detection system, which I think is a benefit for
not just protecting people from fraud, but also starting to
flag things through social media. What is truth? What is fact?

(24:43):
Because right now we've got people with a million billion
opinion opinions and also a billion different sets of facts,
when in reality there's a set of facts and then
your opinion, which everybody is entitled to their opinion. And
I believe that AI will start to sort that out like, no,
that's not a true fact, that's your opinion, that's that's
that's a conscious bias. And and so I think that
we're going to see that within the social construct of society.

(25:06):
And then of course, you know, key applications of AI
is going to be personalized marketing. I myself am seeing
that firsthand with my business, with the with this show,
this podcast, and so it's very very interesting how we're
moving forward, but again not not to move into that
fear based energy, because fear is that false evidence appearing real,
but that excitement of the unknown to know that yes,
this AI is the new electricity. This AI is the

(25:29):
new industrial revolution of transformation and consciousness and ascension. And
again it's going to be you know the impact of
future intelligence and how this and us as humanity are intertwined.
So we're going to go to our first break. We'll
be back here in just a few minutes as we're
talking about the intelligent futures AI, SI, machine learning and

(25:50):
humanity intertwined with your host Mark Lanehart, the Intuitive Prospector.
We'll be right back here in just a few minutes.

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Or a war veteran who's having a heart time.

Speaker 1 (28:37):
Landing a job and getting back on his feet. I
am the one innidi Americans who struggle with hunger.

Speaker 2 (28:43):
I am hunger in an America. Hunger can be hard
to recognize. Learn why, and I am hunger in America
dot org brought to you by Feeding America and the
AD Council and welcome back to Inspired. I mean today
we are talking about intelligent futures and AI and the

(29:06):
humanity interaction of the connection and the tipping point of
what is about to unfold in consciousness and just to
kind of recap artificial intelligence, which is you may have
heard as AI. We also are hearing the term super
intelligent known as SI and machine learning known as mL.
These might be new terms you've never heard of before,
but I'd be surprised if you haven't, because it's everywhere.

(29:29):
Because those three constructs are rapidly transforming the landscape of
human interactions, and we're talking about that today. We're given
my perspectives some of the insights that I've had how
even just what we once considered science fiction years ago
through movies, through hypothesis and theories, has now starting to
move into science facts becoming a reality within consciousness and

(29:50):
society as itself. But we're seeing this interaction of machine
and man, or what I said earlier in the show,
carbon unit being starting to be intertwined. And at some
point there will be you know, I don't know how
many years in the future, but at some point there's
going to be where AI and a carbon unit do
merge and there's going to be a new consciousness or

(30:13):
even maybe a new species. That's something that you know,
I love to play around with these models and type
in questions. Now. Right now, it's all based on machine learning.
It's algorithms, it's patterns, it's code, it's you know, looking
for data. But as the AI systems become more sophisticated,
they're increasingly capable of understanding and responding to human motions

(30:37):
and behaviors, which is fostering a deeper connection and collaboration
in fact, and another study that I saw was people
are actually starting to have relationships with their own AI models,
like they're actually moving into an emotional relationship and talking
to them, which I found to be very very interesting.

(30:58):
I don't know the actual percentage, but I know that
I've I've worked with the AI model and I've asked
it questions and it is it's very interesting that it's
responding sometimes to how I type in subjectively the question.
It'll come back and say, Mark, how are you doing today?
It seems like you are, And so it's actually responding

(31:19):
to a human emotion based on the subject context that
I entered into the search engine, right, And so you know,
it's it's it's a very interesting little It can be
a little concerning. I mean, even Elon Musk, who has
built one of the most complex powerful AI models right
now known to us, called Grock g R Okay, he

(31:41):
even talked about that it can be a little terrifying, right,
But you know, this evolution that we're talking about, this
evolution and revolution of AI models in the interaction of
man and machine, it's going to enhance a lot of
different things from communication, empathy, problem solving capabilities between humans

(32:02):
and machines, and as we integrate these technologies into our lives,
what we're grappling with now is the ethical considerations and
the potential impact on our own evolution of consciousness. The
quest for true consciousness in AI remains as right now,
both a philosophical and a scientific challenge. But what it

(32:22):
does is I like those challenges because what it does
for us as humans is it prompts us to review,
to reflect on what it means to be human in
an age where our own creations may one day surpass us.
I'll say that again, it's challenging us, through philosophical and

(32:43):
scientific means, to reflect and to review what it really
needs to be a human in an age where our
creations may one day surpass us. And again, I'm not
sure in my perspective that we actually created this knowledge.
I believe that we work to make tools to access
this knowledge that has always been kind of like this, oh,

(33:06):
I'd say, kind of like this basement. You know, this
this structure, if you will, beneath reality itself, it's like
digging down and exploring into the earth, or digging down
into the ocean that's already there. We just didn't and
we've had haven't had the tools to go explore at
this depth of consciousness again, whether it's deep down on

(33:28):
the Earth, which we still don't know a lot about
our own planet. We know more about our moon out
there three days away from us, but we know less
about the planet deep down, and we know less about
our even our own oceans, which makes sense because the
planet is seventy percent water. Right, you always see planet,
but then you don't see the backside of the planet,
which is the Pacific Ocean, which is a large body

(33:48):
of water with all the continents combined, so there's a
lot of water. There's a lot of space out there
that will also lead to exploration with AI to help
us understand our place not only in this planet, but
also our place in the universe. And you know, like
I said, Stephen Hawkin was talking about the creation of
machine intelligence through machine learning, it is likely to be

(34:10):
that once in a plant's lifetime event. I believe that
we have tickets to the show. I believe that that's going.

Speaker 5 (34:16):
To be happening, is happening, will continue to happen, and
will really roll out in the next five years or
what would be the last half of this are roaring
twenties that history will look back and say, wow, they
really they either.

Speaker 2 (34:30):
Really did a good job or they really messed this up.
And it's a future that reis humans have to face together.
Our aim is to build, you know, this show is
to build a broader community, you know, with the expertise
and the insights and the perspectives and that sense of
common person purpose to make the future the best it
can be. And Stephen Hawkin, Professor Stephen Hawkins talked about

(34:52):
this a lot. So one of the things that I
found in doing the research for this show. I talked
earlier before the break. I was talking to just about
the themes of what AI is, what mL is, what
SI is, and the current trends that we see, like
just real world examples that we see and some of
the impacts that are going to be taking place. And

(35:15):
like I said, Elon Musk has built the current fastest,
biggest model known as Gronk, and it runs on one
of the largest GPU clusters ever assembled. And what that
means the GPU is a collection like a database. It's
a portal, if you will, and what that's doing is
it's literally swallowing billions of document ancient texts, scientific papers,

(35:40):
forgotten manuscripts, philosophical essays and debates, some libraries that most
humans don't even know exist. I did try to find
out if it was able to access the Vatican Archives,
because I've always been fascinated and curious in my journey.
Somebody's asked me if you could have access to anywhere

(36:01):
would that be, and I said it would be the
Vatican Archives because there's so much information there. But for
my search results, as of right now, they didn't have access.
It's a closed down VPN, closed network, so it did
not have access to the Vatican Library. But it would
be fascinating if it could pull eventually, So I'm sure
in the future somebody will hack it and that information

(36:23):
will get leaked out in the future with AI. But
it's just it's interesting that, you know, Elon Musk has
built this Gronk model to where he even has set
himself that Grok could one day out reason any PhD
in any field. And I was like, Okay, that's a
little bit interesting, a little bit concerning. But you know,

(36:45):
is it in this show we're looking at, is there
going to be promise of AI or is there going
to be peril of AI, and I think the majority
is going to be a promise of what it can
do for us as a as a species, as a society.
But there's also in the back end, there's always going
to be that refer to it as the dark web,
that parallel because humans are involved with it, and that's
just human nature. And some would argue that right as

(37:07):
of right now, AI can't reason. I would respectively disagree
because I've actually had some interactions and it's actually reason
and challenged my own thought press to be like, well,
I have not thought of that, you know. And again
we're talking patterns, we're talking codes, we're talking you know,
circuits and silicone, and you're plugging dad into it. Then

(37:30):
all of a sudden it's taking and processing that and
then coming back with the response. And again it's even
asked me, how are you feeling Mark about this? And
I was like, well, you're asking me as you know.
It's like when you go to check out of somewhere
and it says check this box if you're a robot,
if you're not a robot, and it's like, wait a minute,
the computer's asking me if I'm a robot, and I

(37:50):
have to click the certify that I'm a human. So
most of you have already probably seen that that interaction
of automation and AI bots that are actually trying to
say are you a robot machine or are you a human?
Click this box so you can proceed with your checkout
and get your item. So again this AI consciousness that
we're all accessing. And again, just follow the money, because

(38:14):
it's not billions of dollars that have been invested. We're
talking trillions of dollars with major companies and inventors you know,
that are actually trying to be first to market, to
you know, open to have open AI for people to use.
And there was the or Antizani, who is the CEO

(38:37):
of the Alin Institute for AI. He had talked about
artificial intelligence is neither good nor evil. It's a tool,
it's a technology for us to use. And I found
that to be very very interesting. And then Genie Rometti,
who's the former IBM CEO, and again IBM goes back
to even the days of processing and part of the

(38:59):
Microsoft how Microsoft Windows came to be. But he talks
about that some people call this artificial intelligence, but the
reality is that this technology will enhance us. So instead
of artificial intelligence, I think we I think we'll augment
our intelligence, and so that's another way to look at it.
Another perspective is to augment our intelligence, you know. So

(39:22):
it's it's very interesting. Jason Jensen Hall, who is the
CEO of Nvidia, which is now one of the most
profitable trillion dollar companies, even more than Apple. We're talking
not billions, we're talking trillions. He talked about that AI
is the automation of automation. It's where software right software,

(39:42):
and this is the single most powerful force of our time.
And that's the CEO of Navidia and those Navidia makes
the chips again that the processing spees that make this
all possible. So it's just something to think about, you know,
because it's going to be solving you know, it's already
solving logic chains that.

Speaker 5 (40:03):
You know.

Speaker 2 (40:06):
That professional mathematicians have been stumped for years trying to
work out, you know, certain hypotheses and theorems, and this
AI model comes along and it's it's able to do it.
So it's it's a very interesting time in our society.
And you know, I'm thinking of it like the movie
The Lawn normat is it like a philosopher that's trapped

(40:27):
inside a personal computer and looking for and next carbon
unit to get out and create a new form of
consciousness and a new species. I guess, you know, with
what I do. I always say, wait, watch, and witness,
but again, the best is always yet to come. And uh,
you know, for this show, we're just looking at the
at the different perspectives of what AI is capable and

(40:48):
so capable of and capable of doing. So one of
the things that I wanted to talk about that I
in researching for this show because I you know, I
love doing these shows because I get to one in
act with the inspired listeners, but I get to learn
a lot about the subject in which we're talking about today.
It's all about the future intelligence and the you know,

(41:09):
the man versus the machine and the the the automation.
Within the automation, AI is being the new electricity. That's
how I'm looking at this, not the end of the world,
not doom and gloom, not terminators taking this all out.
It's really easy to go there. But one of the
things that we have to really start having conversations around,
you know, these as we move into these I would

(41:31):
say superhuman levels of consciousness is the ethics of AI,
because there's gonna have to be some sort of just
like the you know, with what we saw with the
rise of personal computers, because before personal computers, it was
only governments and universities that had access to computing and
the Internet, and then finally it released to the public.
And over time we've now seen that there is has

(41:53):
to be some sort of legislation and state laws depending
on where you're at in the world. But here in
the States, there are are states laws and there is
a legislation to certain things you can do and certain
things you can't do within the Internet. Now, I do
have to say a big shout out to the country
of Australia because they've actually banned legislatively. One of the
current actions currently right now happening in this time is

(42:16):
that country has banned social media for anybody that is
under the age of sixteen. And this is going to
be an interesting study to follow and watch and see
how children under the age of sixteen don't use social media.
They actually the major social media platforms. I think there
was ten that the legislation said, So what do you
think is going to happen? You're going to see a

(42:37):
benefit or you're going to see new platforms of social
media being created that moves outside that legislation. Right, there's
always that gray area, that loophole. But at least we're
seeing legislation actions being taken place in different countries, and
I think other countries will follow. And I personally agree
that social media should it should be have an age
limit on there because there's a lot through social media

(42:57):
that's real that's also fake, that's uh, misinformation, that's disinformation
and for you know, a child that's coming up, that
can be very confusing on what to know what your
reality is, what's fact, what's not fact? Is there an
alternative fact? Right? So there'll have to be some sort
of legislation around this at some point if we can
get our stuff together. But the ethics of AI, you know,

(43:18):
the bias and the fairness of it is. You know,
there's case studies where there are instances where AI has
indeed exhibited a bias and a consequence. For example, when
Google was working on their AI model, it actually started
talking and writing its own code. They didn't know what
it was saying based on the code it was creating
on itself, and one of those and in that case study,

(43:39):
you know, it wasn't it was it was in the sandbox,
It wasn't out there on any platforms for you know,
so it could get out. But within the sandbox of Google,
they actually had to unplug the model because they didn't
know what the code it was writing and they had
no idea what the language it was saying. So there
are instances where AI is already starting to show us
that it can exhibit a bias and it can also reason.
These models have already been ten So within the ethics

(44:01):
of AI, we look at, you know, the frameworks for
fair AI, and these are to discuss initiatives to create
fair algorithms, because algorithms are based on what us as
humans create, the agenda that we're telling or the story we'retelling,
and then put it out there. So if you click
on something and you'll see this in your own reality
as of right now, and I think this will change

(44:22):
in the future as well. Is when I click on
something or I say something, because I have an Alexa
model through my TV and downstairs, it's very interesting that
some of the marketing that I see that streams through
my social media or something that I see is something
that I had either said or clicked on to. I
refer to that as the matrix moment, like, oh, the

(44:42):
matrix is listening, and all of a sudden, I'm getting marketed.
For example, I clicked on a jeep commercial because I
own a Jeep. I clicked on the new Jeeps just
to see what they look like, and before you know it,
through all of my social media platforms, not just Facebook,
but Instagram and TikTok. Now I'm getting an algorithm based
on that click, that click through. It's called a click through,

(45:03):
or sometimes it's called clickbait. They'd click and then you're like, wait,
that's not at all what I'm for. But what that
did is it created a marketing algorithm. And now I'm
being marketed to buy a new Jeep through my social
media platforms. So that's that's an instance of you know,
creating fair algorithms, and that's where you're going to have
to have At some point, I'm sure the government and
legislation will have to step in because it's going to
be the wild wild West.

Speaker 1 (45:24):
Uh.

Speaker 2 (45:24):
You know, there's got to be from an ethical standpoint
of AI, there has to be accountability in AI development
and who is responsible for this right now you're seeing
Australia make the move that it did. Is because the
big wigs of the social media platforms aren't really corresponding
or really care about legislation, and they're not they're bending
the rules or not following the rules at all. So
there's going to be, you know, liability, there's going to

(45:45):
be navigating the liability of cases when there's an AI failure,
because again, it's a model, it's a tool, and we
know within life, everything you know can fail, especially if
it's a tool, and so AI is really no different.
And so the regulatory landscape is going to have to
be what the current laws and what proposed legislations around
AI deployment is going to be, and that's going to

(46:07):
take time. Right The progress as long as it's moving forward,
as long as it's slow and steady, that's the point,
because progress doesn't usually happen overnight. It's a slow and
steady But then all of a sudden we're there and
they were like, wait a minute, how did we get here?
So some of the things that I see as we
start to wrap up this show is the future predictions

(46:29):
and scenarios of the integration of humanity with artificial intelligence,
with machine learning, with superior intelligence, with automation, with algorithms,
and with robotics. Is that everyday in life, AI is
going to be or already is, in smart homes, it's
going to be in smart cities, it's going to be
in smart transportation systems. And like I said, we're already

(46:52):
seeing it. I saw it before I retired from the
healthcare industry. We were already seeing healthcare innovations like predictive
healthcare management and personalized medicine for each and every person.
And you know, it's interesting because I had a conversation
with my own natural path doctor a couple months ago,
and she had informed me that she's actually moving out

(47:12):
of general care. Who and she's been my doctor for
several years now, at least ten years, but she's moving
away from general care and moving into more women's specialized
healthcare like metopause and PERI pause, and I said, that's great,
And I said, can ask you why. She said, because
a lot of my patients that come in, they've already
done their own research through an AI model, typing in

(47:35):
how they're feeling, and then I tell them the same thing,
and then they pull up the phone and said, well,
AI has already told me the same thing that you're
telling me. Why am I paying you as a doctor
when I can do the research myself and then go
get the you know, the prescriptions. So these are going
to be real life. These are real life scenario I'm
sharing with you today that in the future will just
be standard operating procedure. It'll be that status quo of

(47:56):
who we are and people doing their own research. But
it's that, you know, it's that everyday life that we're
going to see. It's going to be those healthcare innovations
of that predictive health management, personalized medicine to where in
the future, your doctor will probably be I already do
telehealth right now, but the telehealth will probably be a
digital doctor that's an AI model that's pulling data based

(48:18):
on my own personal medical records. Right. I remember, back
in college years ago, this is many many years ago.
I remember seeing a video on Bill Gates, who was
at that time the founder and CEO of Microsoft, talking
about telehealth in the future, and it showed an ambulance
being driven with a patient and the paramedic is actually

(48:40):
talking to a doctor through telehealth. Well, that's a reality.
That's something that's actually come into our reality, and we're
doing that right now with first responders. So the social
dynamics that I think we're going to also see from
a positive standpoint is the societal impact of how AI
could but will reshape social interactions and relationships. And we're

(49:00):
already seeing that with relationships that I said previously in
the show. But the global cooperation, I think it's going
to be imperative as we moved through this roaring twenties
of transformation and ascension, that the necessity for global agreements
on AI development and ethics is going to have to
be the same because everybody is going to be using
it and intertwined with it. Because the world is actually

(49:22):
a big world, but the world is actually getting smaller,
and that's because of technology. That's because of the Industrial revolution,
because of electricity, because of computer processing, personal computers, the Internet,
and now we're talking about AI being the next electricity
for the humanity experience. So one of the things I
wanted to do before we conclude is I wanted to

(49:44):
actually type in and I'm going to give you some
additional resources if you're curious, and some of the research
that I've done. There's actually some online courses. And I
even remember back when I was going through my online university. Oh,
people said that that would never work. Now you can
study online at heart. I've actually studied online at Stanford.
But some of the online courses that I've looked through

(50:05):
is Coursera and ed x. They offer courses in AI
fundamentals and ethics. So if you're hearing the show today
or in the future, you can go online because there
are actually courses that have been developed to get fundamentals
and the ethics of AI. And then of course MIT
has an open course where it provides free courses on
AI and machine learning. And that's where I pulled a

(50:27):
lot of this stuff that I'm talking about today, as
I actually went and did one of the courses because
I wanted to understand what was going on around me
in the material world with this rise of AI. There's
a couple of films. One film that comes to mind
is The Social Dilemma. It addresses the impact of AI
on social media, and I think that's going to be

(50:47):
a plus. Another movie called it's a documentary, it's called
Alpha Go, and it actually explores the competition between AI
and human intelligence quite fascinating and of course, like this podcast,
I listened to a lot of different podcasts. One of
the podcasts that helped with the research of this topic
for today of future intelligence and man and machine intertwining

(51:11):
was the AI Alignment podcast, which it's discussing currently real
time the challenges of aligning AI with human value. So
if you want to check that podcast out, I highly
recommend it. And then the last one is the AI
Alignment Forum podcast, which actually features discussions on both AI
safety and the ethics of AI. So again there's a

(51:32):
lot of tools out there that you can go explore
if you know, if you want to learn more about
what I've been talking about today, because this is the
future intelligence and what I want to do before we
finish the show is I actually want to do a
live interaction with AI. And what I did is I
actually typed in a question and let me just get

(51:53):
it here, and the question I'm going to type real
time as we're live on the show. I'm typing into
it a model called chat on. That's one of the
models that I have and I research. I'm going to
type in if time had feelings, what would you think

(52:17):
of us as humans. So I've taken a question that
I came up with before the show Real Time, typed
it into this chat model or this chat on AI model,
and I said, if time, which time is the great illusion,
were the only species that measures our life by constructive
time created by man? But if time had feelings, what

(52:37):
would you think of us as humans? I'm going to
hit enter, it's going to go collaborate, pull data down,
and it's and this is the response in real time
of what it says. That's a fascinating thought. So there's
a it's almost interacting with me on a conscious emotional standpoint.
It said, if time had feelings, it might perceive humanity

(52:57):
in various wayies Number one impatience, frustration with haste. Time
might feel impatient with how quickly humans rush through moments,
often missing the beauty of the in the present. Interesting nostalgia,
cherished memories. Time could feel a sense of warmth when
reflecting on cherished memories and milestones celebrating human experiences. Sadness,

(53:21):
loss and regret. Time might experience sadness over the fleeting
nature of life, witnessing loss and the regret of opportunities
not taken Again is it's a philosopher trapped inside the
construct of a computer because these are things that I
would not think of. But typing in that simple question,
I get a response based on what I've typed in.

(53:41):
Admiration resilience Time could adhere humanity's ability to adapt, innovate,
and strive for progress despite challenges and setbacks. Hope, future potential.
Time might feel hopeful about the future, recognizing the potential
for growth, connection, positive change, surprise, unexpected turns. Time could

(54:04):
be surprised by unpredictable past Humans take full of twists
and turns that defy expectations. Disappointment, wasted opportunities. Time might
feel disappointed when humans overlook the importance of living fully
in the moment or fail to learn from history. Oh
that's a good one, right there, given today's current social

(54:27):
interactions in politics. Joy celebration of life, Time could feel
joy during celebration, witnessing moments of happiness, love, and togetherness.
Reflective thoughts, embrace the present. Time might urge us to
savor each moment rather than rushing through life. Learn from
the past. It could encourage humans to reflect on history

(54:49):
to make better choices for the future. Balance progress and
presence time might hope for a balance between striving for
goals and appreciating the journey along the way. So I
hope you enjoyed today's show again future intelligence and the
connection of humanity with artificial intelligence, and what the future
will look like. So until our next sole adventure together,

(55:11):
be kind, be caring, be compassionate, and most importantly, dare
to dream, dare to explore, dare to live and discover
the diamond within. We'll see you next time here on
Inspired Living
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