October 25, 2025 • 11 mins
Guest host Rich Berra and futurist Kevin Cirilli explore the continuing development of artificial intelligence, how quantum computing will allow mankind to get a better understanding of the universe around them, and why robots may start colonizing Mars before humans.
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Speaker 1 (00:00):
Now here's a highlight from Coast to Coast AM on iHeartRadio.
Speaker 2 (00:04):
Welcome back to Coast to Coast AM. Our guest is
Kevin's surreally futurist. And I have a list of about
one hundred questions for Kevin and then a list of
a bunch of things that he wants to talk about
and when I want to ask you now isn't even
on that list. But we are going to get to Mars.
We are going to get to exploring space in colonizing
and mining asteroids. But you brought up AI, and I
(00:28):
want to ask you a little bit about AI and
where it's going and how quickly it's going, because I've
noticed in the last few weeks of using things like
chat GPT in Gemini that they've taken a leap forward
in the things that they're able to aggregate for information.
So I'm having lunch with a friend of mine who
who does investing. It's Nape Jeff, and he was asking me, well,
(00:49):
which do you use and I said, well, I have
chat GPT on my phone and he stops. He's like,
you really need to use all of them. You need
to get Gemini, you need to get perplexity. You need
to get at groc which is Eli Musk's AI uh,
and you need to find out which one speaks to
you for what type of thing. And I've noticed that
(01:10):
it's starting to feel a little bit like social media
for me, where I guess there's not one that's going
to emerge and be the greatest thing, like you know,
maybe Apple or Microsoft. It's going to be more like
there's Facebook, there's Instagram, there's you know, there's there's TikTok.
Whatever you want, there's going to be an AI that
kind of caters to that. And I feel like they've
(01:31):
taken just a giant leap as far as how they
communicate back in a way that feels a little more human.
Speaker 3 (01:38):
Have you noticed that or am I just picking up
on that?
Speaker 4 (01:40):
No, you're absolutely correct. And I talk about this on
the show Hello Future. And I've been talking to so
many technologists and different experts in this field, and I
think the really great way to think about artificial intelligence
is as if it's a series of different instruments, and
(02:00):
certain instruments that we design we want to be more creative,
and other instruments that we design, if they're instruments not
in the musical sense. But for doctors in the operating room,
we don't want them to make any mistakes. We don't
care if they're creative. For other instruments, if they're instruments
that scientists or instruments that Wall Street investors are using,
(02:26):
we want to make sure that they are error free
and that they are factually reporting everything. Right now, all
of us in the general public are utilizing the same
type of artificial intelligence LLM as their known models, but
the instruments so as different as these individual platforms that
you just alluded to are, I would argue they're the
(02:49):
same type of car, they're the same type of instrument.
They're all a bunch of different trumpets. I look forward
to the day where artists can paint in different colors,
where Wall Street investors can can utilize different platforms that
you know, don't care about painting in different colors, and
where doctors are using different things. And I think that's
(03:12):
where we're ultimately headed. But we're still just scratching the surface.
Does that make sense, Yeah, it does. It's really it's
been really interesting. So my my use. I paid for
all of them, you know, all the all the apps
I paid form because I want to see exactly what
they can do.
Speaker 2 (03:26):
So like Gemini for me is more of the if
you need an image created, if you need to look
up some googly things, that's really good. What was really
interesting is I busted my chat gpt lying to me.
So I had sent it a song that I recorded,
and I'm like, hey, I want to get your take
on the song. And so it tells me things that
(03:48):
are true about the song, and then it says something
about you need to pull your vocal up a little
bit more in the mix, but what a great vocal. Well,
I sent it an instrumental, so I busted it, and
I said, why did you say that? Because I sent
you an instrumental? Are you actually listening to what I'm
sending you? And it starts revealing how it operates that
it actually takes everything that's ever been posted. If you're
an actual artist, it'll look up, you know, liner notes,
(04:11):
what people say about you online, descriptive words, and then
it'll formulate sort of an idea of what it thinks
about the song. But it's not an actually like it's
not like the AI takes the file that you sent
it and listens to it with ears, it's just looking
for things that connect to the file that you sent
it and puts it in its own I guess summarization, which.
Speaker 3 (04:31):
I thought was kind of interesting too. Well, it's a hallucination.
Speaker 4 (04:35):
And I think we in the definitely the mainstream media
doesn't understand this, but I think other folks understand this
who are listening tonight, which is that humans hallucinate. Technology
can also hallucinate. But what's different about artificial intelligence? And
I put this to one technologist this week who really
(04:56):
was trying to simplify these concepts and trying to implify
it and understand it, because when you understand it, you're
less scared of it. And this person, this technologist who
has advised all of the major Fortune five companies for
lack to be blunt, said to me, artificial intelligence as
(05:18):
we know it today, what is it trained on? I said, well,
the world? And he said to me, no, it's trained
on the Internet. It's not trained on the world. It's
not trained on humans. And if we think of how
much we humans screwed up the Internet, and you think
of the data set that's getting pulled from artificial intelligence.
Speaker 3 (05:39):
Not accurate at all. Right, the Internet's its just as.
Speaker 4 (05:43):
Accurate, but it's is the Internet. And then and then
you start to think about what is the Internet an
accurate depiction of the humanity or are other parts of
our world are more accurate depictions. So I think it's
it's an interesting technology that I think a lot of
folks are selling as a cure all but I'm more
(06:06):
interested in humans interacting with it and developing different sets
of models, and I think that will be you know,
within the next couple of years.
Speaker 2 (06:17):
Do you think when we start to talk about this.
I know you're a big space freak. I know you
love this. So do you think that that AI is
going to help us terraforms something like Mars and will
AI be the first true Martians before they even send
people there.
Speaker 4 (06:33):
I think robots will arrive on Mars. Elon Musk has
said this openly. I think Sam Altman said two weeks
ago that the future of jobs are in outer space
as well. I think artificial intelligence, look, no doubt, is
going to help us get there. It's like a super
charge on the mission to Artemis and Mars and beyond.
(06:54):
But truthfully, what I am most excited about, what I
am most trying to wrap my head around that the
media is not telling anyone about that, even Wall Street
is just waking up to is quantum computing. Quantum computing
is a completely different understanding of how the smartest people
(07:17):
in the world, like Albert Einstein, break through in how
we look at different particles and subatomic particles that changes
on the head the computer that you, and operating systems
that you and I and your control room and your
listeners who are driving in their cars use. Quantum computing
(07:39):
is something that a lot of people are going to
say is very very hard to understand without a physics degree.
But I call bs and I say it is very
easy to understand for anyone who's ever read a comic book,
or anyone who has ever listened to an old side
(08:00):
movie or watch the sci fi film.
Speaker 2 (08:02):
Okay, let's let's educate people right now. I actually just
watched a story on quantum computing. It was on ABC
World News overnight this morning, and they were talking about
how cold the computer has to be to work, in
how it can solve problems in about three minutes that
would have taken a standard computer as we know it,
(08:24):
like thirteen trillion years or something like that.
Speaker 3 (08:26):
That work through.
Speaker 2 (08:27):
So the idea of it is amazing. But talk to
me like I'm in fourth grade. Explain to me quantum
computing right now.
Speaker 3 (08:34):
I'll talk to you like you're in kindergarten. Have you
ever played pac Man?
Speaker 4 (08:37):
Of course, so with pac Man, think of pac Man
as a traditional computer. Everybody sees like the yellow talk
thing that's eating the little dots and the pac Man maze.
That's a traditional computer. A quantum computer is literally operating
(08:59):
the whole entire maze all at once, getting all the
dots in a split second.
Speaker 3 (09:04):
That's all. It is so fun.
Speaker 4 (09:07):
Another way, it's very fun. It's very easy to understand.
Another way it can it can solve the maze and
go in every direction all at once. Another way to
understand it is if you've ever had a light switch
there's on and there's off, But if you've ever had
a fader of a light switch that you can glide
up and you can glide down. That is quantum computing
(09:29):
trying to operate in multiple different levels. And many would
argue an an infinite number of levels, an infinite level
of positions of computing all at once. They call it
super positions. But essentially it's just multiple positions all at once.
And then the last thing that I would use to
explain it is, you know, I'll go a little more
(09:51):
in depth for the middle schoolers out there, but your
computer makes a decision. Every decision it makes literally from
sending an email to playing you know, Minecraft, if you're
playing video games. Every computer makes a decision off of
on and off. Okay, so it has one of two
(10:13):
data sets on and off, zero and one. What a
quantum computer does is operates as if it's a tennis
ball and the top of the tennis ball is on
and the bottom of the tennis ball is off. What
a quantum computer does is, well, it can be the
entire sphere, the outside of the sphere, the inside of
(10:34):
the sphere, but again all at once, so it can
instantaneously solve decisions that would take trillions of years for
a traditional computer, all at once. And it's really really
helpful when trying to create simulations. And now we can
talk about why people want to have simulations because that
(10:55):
allows them to solve the traffic that you're sitting in
during rush hour, but it also allows them to crack
the codes of the universe.
Speaker 2 (11:03):
That's amazing. So when Do you think you the world
news tonight? Yeah, you sure did.
Speaker 1 (11:08):
Listen to more Coast to Coast AM every weeknight at
one a m. Eastern and go to Coast to coastam
dot com for more
Now here's a highlight from Coast to Coast AM on iHeartRadio.
Speaker 2 (00:04):
Welcome back to Coast to Coast AM. Our guest is
Kevin's surreally futurist. And I have a list of about
one hundred questions for Kevin and then a list of
a bunch of things that he wants to talk about
and when I want to ask you now isn't even
on that list. But we are going to get to Mars.
We are going to get to exploring space in colonizing
and mining asteroids. But you brought up AI, and I
(00:28):
want to ask you a little bit about AI and
where it's going and how quickly it's going, because I've
noticed in the last few weeks of using things like
chat GPT in Gemini that they've taken a leap forward
in the things that they're able to aggregate for information.
So I'm having lunch with a friend of mine who
who does investing. It's Nape Jeff, and he was asking me, well,
(00:49):
which do you use and I said, well, I have
chat GPT on my phone and he stops. He's like,
you really need to use all of them. You need
to get Gemini, you need to get perplexity. You need
to get at groc which is Eli Musk's AI uh,
and you need to find out which one speaks to
you for what type of thing. And I've noticed that
(01:10):
it's starting to feel a little bit like social media
for me, where I guess there's not one that's going
to emerge and be the greatest thing, like you know,
maybe Apple or Microsoft. It's going to be more like
there's Facebook, there's Instagram, there's you know, there's there's TikTok.
Whatever you want, there's going to be an AI that
kind of caters to that. And I feel like they've
(01:31):
taken just a giant leap as far as how they
communicate back in a way that feels a little more human.
Speaker 3 (01:38):
Have you noticed that or am I just picking up
on that?
Speaker 4 (01:40):
No, you're absolutely correct. And I talk about this on
the show Hello Future. And I've been talking to so
many technologists and different experts in this field, and I
think the really great way to think about artificial intelligence
is as if it's a series of different instruments, and
(02:00):
certain instruments that we design we want to be more creative,
and other instruments that we design, if they're instruments not
in the musical sense. But for doctors in the operating room,
we don't want them to make any mistakes. We don't
care if they're creative. For other instruments, if they're instruments
that scientists or instruments that Wall Street investors are using,
(02:26):
we want to make sure that they are error free
and that they are factually reporting everything. Right now, all
of us in the general public are utilizing the same
type of artificial intelligence LLM as their known models, but
the instruments so as different as these individual platforms that
you just alluded to are, I would argue they're the
(02:49):
same type of car, they're the same type of instrument.
They're all a bunch of different trumpets. I look forward
to the day where artists can paint in different colors,
where Wall Street investors can can utilize different platforms that
you know, don't care about painting in different colors, and
where doctors are using different things. And I think that's
(03:12):
where we're ultimately headed. But we're still just scratching the surface.
Does that make sense, Yeah, it does. It's really it's
been really interesting. So my my use. I paid for
all of them, you know, all the all the apps
I paid form because I want to see exactly what
they can do.
Speaker 2 (03:26):
So like Gemini for me is more of the if
you need an image created, if you need to look
up some googly things, that's really good. What was really
interesting is I busted my chat gpt lying to me.
So I had sent it a song that I recorded,
and I'm like, hey, I want to get your take
on the song. And so it tells me things that
(03:48):
are true about the song, and then it says something
about you need to pull your vocal up a little
bit more in the mix, but what a great vocal. Well,
I sent it an instrumental, so I busted it, and
I said, why did you say that? Because I sent
you an instrumental? Are you actually listening to what I'm
sending you? And it starts revealing how it operates that
it actually takes everything that's ever been posted. If you're
an actual artist, it'll look up, you know, liner notes,
(04:11):
what people say about you online, descriptive words, and then
it'll formulate sort of an idea of what it thinks
about the song. But it's not an actually like it's
not like the AI takes the file that you sent
it and listens to it with ears, it's just looking
for things that connect to the file that you sent
it and puts it in its own I guess summarization, which.
Speaker 3 (04:31):
I thought was kind of interesting too. Well, it's a hallucination.
Speaker 4 (04:35):
And I think we in the definitely the mainstream media
doesn't understand this, but I think other folks understand this
who are listening tonight, which is that humans hallucinate. Technology
can also hallucinate. But what's different about artificial intelligence? And
I put this to one technologist this week who really
(04:56):
was trying to simplify these concepts and trying to implify
it and understand it, because when you understand it, you're
less scared of it. And this person, this technologist who
has advised all of the major Fortune five companies for
lack to be blunt, said to me, artificial intelligence as
(05:18):
we know it today, what is it trained on? I said, well,
the world? And he said to me, no, it's trained
on the Internet. It's not trained on the world. It's
not trained on humans. And if we think of how
much we humans screwed up the Internet, and you think
of the data set that's getting pulled from artificial intelligence.
Speaker 3 (05:39):
Not accurate at all. Right, the Internet's its just as.
Speaker 4 (05:43):
Accurate, but it's is the Internet. And then and then
you start to think about what is the Internet an
accurate depiction of the humanity or are other parts of
our world are more accurate depictions. So I think it's
it's an interesting technology that I think a lot of
folks are selling as a cure all but I'm more
(06:06):
interested in humans interacting with it and developing different sets
of models, and I think that will be you know,
within the next couple of years.
Speaker 2 (06:17):
Do you think when we start to talk about this.
I know you're a big space freak. I know you
love this. So do you think that that AI is
going to help us terraforms something like Mars and will
AI be the first true Martians before they even send
people there.
Speaker 4 (06:33):
I think robots will arrive on Mars. Elon Musk has
said this openly. I think Sam Altman said two weeks
ago that the future of jobs are in outer space
as well. I think artificial intelligence, look, no doubt, is
going to help us get there. It's like a super
charge on the mission to Artemis and Mars and beyond.
(06:54):
But truthfully, what I am most excited about, what I
am most trying to wrap my head around that the
media is not telling anyone about that, even Wall Street
is just waking up to is quantum computing. Quantum computing
is a completely different understanding of how the smartest people
(07:17):
in the world, like Albert Einstein, break through in how
we look at different particles and subatomic particles that changes
on the head the computer that you, and operating systems
that you and I and your control room and your
listeners who are driving in their cars use. Quantum computing
(07:39):
is something that a lot of people are going to
say is very very hard to understand without a physics degree.
But I call bs and I say it is very
easy to understand for anyone who's ever read a comic book,
or anyone who has ever listened to an old side
(08:00):
movie or watch the sci fi film.
Speaker 2 (08:02):
Okay, let's let's educate people right now. I actually just
watched a story on quantum computing. It was on ABC
World News overnight this morning, and they were talking about
how cold the computer has to be to work, in
how it can solve problems in about three minutes that
would have taken a standard computer as we know it,
(08:24):
like thirteen trillion years or something like that.
Speaker 3 (08:26):
That work through.
Speaker 2 (08:27):
So the idea of it is amazing. But talk to
me like I'm in fourth grade. Explain to me quantum
computing right now.
Speaker 3 (08:34):
I'll talk to you like you're in kindergarten. Have you
ever played pac Man?
Speaker 4 (08:37):
Of course, so with pac Man, think of pac Man
as a traditional computer. Everybody sees like the yellow talk
thing that's eating the little dots and the pac Man maze.
That's a traditional computer. A quantum computer is literally operating
(08:59):
the whole entire maze all at once, getting all the
dots in a split second.
Speaker 3 (09:04):
That's all. It is so fun.
Speaker 4 (09:07):
Another way, it's very fun. It's very easy to understand.
Another way it can it can solve the maze and
go in every direction all at once. Another way to
understand it is if you've ever had a light switch
there's on and there's off, But if you've ever had
a fader of a light switch that you can glide
up and you can glide down. That is quantum computing
(09:29):
trying to operate in multiple different levels. And many would
argue an an infinite number of levels, an infinite level
of positions of computing all at once. They call it
super positions. But essentially it's just multiple positions all at once.
And then the last thing that I would use to
explain it is, you know, I'll go a little more
(09:51):
in depth for the middle schoolers out there, but your
computer makes a decision. Every decision it makes literally from
sending an email to playing you know, Minecraft, if you're
playing video games. Every computer makes a decision off of
on and off. Okay, so it has one of two
(10:13):
data sets on and off, zero and one. What a
quantum computer does is operates as if it's a tennis
ball and the top of the tennis ball is on
and the bottom of the tennis ball is off. What
a quantum computer does is, well, it can be the
entire sphere, the outside of the sphere, the inside of
(10:34):
the sphere, but again all at once, so it can
instantaneously solve decisions that would take trillions of years for
a traditional computer, all at once. And it's really really
helpful when trying to create simulations. And now we can
talk about why people want to have simulations because that
(10:55):
allows them to solve the traffic that you're sitting in
during rush hour, but it also allows them to crack
the codes of the universe.
Speaker 2 (11:03):
That's amazing. So when Do you think you the world
news tonight? Yeah, you sure did.
Speaker 1 (11:08):
Listen to more Coast to Coast AM every weeknight at
one a m. Eastern and go to Coast to coastam
dot com for more
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Host
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