June 3, 2025 • 12 mins
KFI & KTLA tech reporter Rich DeMuro joins the show for ‘Tech Tuesday.’ Today, Rich talks about Nintendo’s Switch 2 launching this week, Google Wallet is dropping PayPal support, AI is helping to fight shoplifting, and an AI-powered radio station in LA.
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Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Rich.
Speaker 2 (00:00):
Tomorrow's time for jfi's Tech segment with Rich. He is
not only our tech guy also we can watch him
every day on KTLA every Saturday here eleven am to
two pm. Instagram at rich on tech website, richontech dot TV.
Speaker 1 (00:15):
Good morning, Rich, Good morning to you. Bill.
Speaker 2 (00:18):
All Right, great story out there about AI and shoplifting. Now,
is this to help people shoplift or is it to
fight shoplifting. I'm a little confused.
Speaker 1 (00:28):
Well, it is to fight shop Oh I feel bad. Okay, Yeah,
I think that's probably a smarter use of it. This
is called vision. We went to a seven to eleven
and seem Valley that's using it, and it's just what
you would imagine. So instead of having a person sit
there and watch the cameras twenty four to seven, you
(00:49):
actually have AI doing that and they're analyzing the video
feeds from existing cameras, by the way, and they are
looking for suspicion. It's just gestures that might indicate shoplifting.
That's really what this is all about. Any sort of
gesture is putting something in your pocket, bag whatever. It's
trained on like five thousand different clients that they have
(01:12):
around the world, millions of interactions, and as soon as
you put something in your pocket or do something that
might be deemed suspicious, the store owner gets an immediate
alert and it says, hey, this might be shoplifting, and
let's they can decide what they want to do with that. Okay.
Speaker 2 (01:27):
So if you, for example, you pick up something and
then all of a sudden you have you have an
itch in your in your junk and you go to
scratch it, you're in trouble.
Speaker 1 (01:39):
Well, I don't know, because you know, the AI is trained.
It's better than a human. So it's going to sit
there and understand scratching yourself versus putting something in your
pocket or hiding or concealing something. And so you know,
each each one of these flags gets a grade, so
it may say, you know, low alert, medium alert, critical alert.
(02:01):
So it's you know, it's not perfect because it's AI,
but it's going to sort of score itself and say like, look,
we think this is a critical interaction versus this person
just scratched themselves.
Speaker 2 (02:12):
And so it's I find it fascinating that this is
a machine learning AI at sort of at this point,
at its far reaches where it can understand analyze and
as you say, it's like a CIA report high credibility,
medium credibility, low incident or low chance. And how how
(02:39):
advanced is this go ahead?
Speaker 1 (02:41):
I'm sorry, I mean I tried it. I tried it,
and I you know, I took some batteries and I
will tell you you know, when they when they had
me try it, they said like, hey, make sure you're
sort of like visible doing this. So you know, it's
one of these things where I think the technology is
still evolving like anything else. And I think that's someone
that is really good at, you know, concealing or making
(03:01):
sure they're not sort of near a camera, like if
the cameras don't have a good view of every aspect
of the store, that might be a problem. But I
think that in general, I mean a couple of times
I tested it out. You know, I put something in
my bag. It flagged it almost immediately. So you have
to think about Bill. I don't know if you ever
worked retail, but I did back in the day. And
(03:22):
you know, we used to have literally people sitting in
the rafters, like you know, up above the store. It
was a one way mirror and they were just watching
over the store and kind of checking out what people
were doing, looking in, maybe zooming in with cameras. Once
that technology came along, it was not a perfect system.
And so and neither is this. I don't think any
AI is perfect. But at the same time, you got
(03:43):
to think about if you're a small business owner, what's
your option. You are either watching these cameras twenty four
to seven, rewinding video after the fact. This is in
real time. And so when you think about that paradigm shift,
you are being empowered as a store owner. You understand
what's happening to your inventory in near real time versus
(04:05):
you know, a week later, did you take the batteries home? Yes,
I now have some D batteries, the ones that you
never really need.
Speaker 2 (04:14):
Yeah, yeah, the ones that they missed. All right, coming back,
I want to have a good time with us. I'm
going to ask you a question. This has to do
with AI powered radio radio stations, and oh boy, am
I going to have a.
Speaker 1 (04:27):
Good time with that.
Speaker 2 (04:28):
And then I have a challenge for us, and I'll
come back with that and let's continue on. Finish up
with our tech segment. Rich Demurrow or tech guy, Let's
finish it up. Rich, oh is this a great topic
that you came up with, AI powered radio station. All right,
(04:48):
explain that one, and then a challenge.
Speaker 1 (04:51):
What are we talking about? I did this, Yeah, I
did this for a reason because obviously you've been in
radio for many, many years, and I you know, I'm
just curious what you think about this trend. But let
me tell you the story. So right now in Los Angeles,
there is a pop up radio station called one oh
six point three the Fizz Okay, and it's all AI powered.
(05:14):
So the music, the DJs, all everything is just AI
the audio everything, and so it's it's made to kind
of have the feel of a nineties pop station or
maybe an eighties pop station. But here's the deal, bill
it is one hundred percent advertising Slice Soda, which you
probably remember that brand back in the day. They are
(05:35):
now rebranding as a more of like a healthy soda.
So whatever it is. But the point is, I listened
to this station this morning, and I think the magic
here is if you are just surfing the airwaves and
you happen to land upon this station. At first, it
sounds like a little pop station, but all of a sudden,
you're like, wait a second. Every song they're singing about
is soda related? Every band name is soda related. The
(05:59):
DJ sounds a little off because it's AI. But anyway,
I thought that was kind of funny that they're doing
this as a you know, a pop up radio station
in Promota soda.
Speaker 2 (06:08):
Okay, that part is interesting. I love the marketing end
of that. But of course, moving right into the technology, how,
for example, do the DJ sound when they're either introducing
music or doing some banter, if they do it at all.
And that's and then that leads right into our challenge here.
Speaker 1 (06:30):
Yeah, so it's just one DJ, bev AI generated female
and you know, I was listening this morning, and it
doesn't sound that convincing, like you might look if you're
passing through the airwaves and you just kind of land
upon this for a couple of minutes, you might not
really think much about it, but then all of a sudden,
if you listen for a while, you'll be like, Okay,
(06:50):
something's a little different here. And I'm not sure they
reveal that it's all AI on the station, but they
use like off the shelf stuff, So they use Suno
s U and m which is an AI music creation website,
and so that's where they made the songs, and they
used Gemini to sort of come up with the names
and the scripts that this DJ says, and so it's
(07:12):
all just like off the shelf stuff that they use
for this stunt. But I think it's it's a bigger issue, Bill,
and I'm ready for your challenge. But you know, we're
hearing more and more about AI taking over jobs and
taking over things. If you wanted to do this five
years ago, let's say you would have had to hire
a voice actor to do the AI voice. You would
have had to create someone that's creative, or hire someone
(07:35):
that's creative to make the musical tunes, you know, hire
writers to make the songs, the backstories for all the bands.
And now all this is done on a computer using
AI instantly.
Speaker 2 (07:47):
Now you're talking about original songs written by AI, not
just choosing songs that go in and just you know,
having a DJ banter and in true songs per in
AI program, you're actually talking about writing music.
Speaker 1 (08:06):
Yeah, that's but these these they literally have a couple
of these tools online that will write songs like that
make you can say what you want. I can say
I want a country ballad about downloading apps on the
iPhone and it will write a song with words or not.
Now I understand the words, but the music parts, the melody,
that is all the right thing. Yeah, there's a credible
(08:28):
d O U d io. It's it's will I am
as one of the big backers. Okay, the other one
is soon o. But these are things that people should
be aware of that are happening, like, okay, it's happening,
all right.
Speaker 2 (08:39):
Challenge of course, and you know where I'm going with this.
How do we put together uh an ai powered interview
or conversation that you and I have during the course
of the show and it may sound horrible at first,
and then we would do it as technology evolved.
Speaker 1 (08:58):
Uh Is it possible to that? Yes? Absolutely there are
I mean Google's Notebook LM will do it. Maybe not
in our voice, but if you want something that's in
our voices, yep, there's other there's other tools like eleven Labs.
I'd have to look into it. They do the big
voice to text stuff, but I think they could probably
(09:20):
handle the actual you know, making it in our voices.
But okay, Harry, I mean I don't know if I
want that because I oh, yes, you don't.
Speaker 2 (09:26):
No, no, yes you do. No, yes you do, because
the thought of both of us being put out of
business by one of these excites they hell out of me.
Because I still have a contract. I get paid whether
or not I'm here or not. So I'm fine with this.
Speaker 1 (09:37):
Now.
Speaker 2 (09:38):
The question is can we try to do it?
Speaker 1 (09:43):
I will look up the tools, Yeah, I will. Okay,
are you prepared?
Speaker 2 (09:46):
And then whatever, and if we have to hire someone
to put it together, I will pay for it.
Speaker 1 (09:51):
So is whatever it.
Speaker 2 (09:54):
I'm not going to spend thousands of dollars, but I
will spend I'll spend a few hundred.
Speaker 1 (09:59):
That would defeat the purpose if we If we spent
thousands doing that, you might as well just be their live.
Speaker 2 (10:04):
Yeah that's true, that's true, but I would I'm issuing
this challenge right now. Rich. If we can put together
a segment where you and I are not here and
it's we can broadcast it. Man, am I getting excited
about this?
Speaker 1 (10:22):
Okay? Let me let me. Let me see how to
do this, and we'll see if we can proceed.
Speaker 2 (10:26):
Okay, and then one real quick one voice to text
app for iPhone. I have an iPhone, and so tell
me about this.
Speaker 1 (10:34):
Yeah, I don't know how well the voice to text
works for you. It does not work very well for me.
But I've been using this app for the past two
months in beta. It is quite incredible. It's called whisper
flow wi sp r flow, and basically, once you add
it on your iPhone, it's kind of like adding a keyboard.
You basically talk into the app and it formats everything perfectly,
(10:57):
so you can speak if you want to do a
text message, a Gmail whatever it is, and it uses
AI so it doesn't just get the words right, it
gets how you're saying them properly. So Bill, if I
said three things to talk about on the show today,
it would actually list those out in the one, two, three,
like it would understand that I'm giving you a list
like that. So it formats everything perfectly. And if you
(11:21):
said something with like exclamation, like if you were like, hey, Bill,
we should definitely do this, it would put an explanation
mark at the end of there. So, I mean, it
really does a lot of things really well. It is free.
It's available on the App Store starting now. Like I said,
I've been using it for the past couple of months
on my iPhone.
Speaker 2 (11:39):
Everything you don't do the little microphone on the bottom
with your text.
Speaker 1 (11:46):
Never because it is so horrible to me. I just
don't think it works. I mean, so when you see
something like.
Speaker 2 (11:51):
This whisper flow, and that's the app in the app.
Speaker 1 (11:55):
Store, right, yeah, I'll link it up on my website.
So I want to make sure you get the right one.
Rich on tech dot TV, don't download some random thing
that says whisper because it could be you know who knows.
All right, down TV, I will do that.
Speaker 2 (12:07):
Okay, you got it, all right, rich Thank you. We'll
catch you this weekend eleven to two pm right here
on KFI everyday at k t l A. He's KTLA's
tech guy, Instagram, at rich on tech and the website
rich on tech dot tv.
Speaker 1 (12:23):
As he said, Rich, you have a good one. We'll
catch you next week, all right. You stay careful with
that vegan tiki masala.
Speaker 2 (12:30):
Oh god, by the way, the only thing I ate
was the rice. I'll tell you right now.
Speaker 1 (12:34):
The rest of it was gone.
Speaker 2 (12:37):
Okay, yeah, thank you,
Rich.
Speaker 2 (00:00):
Tomorrow's time for jfi's Tech segment with Rich. He is
not only our tech guy also we can watch him
every day on KTLA every Saturday here eleven am to
two pm. Instagram at rich on tech website, richontech dot TV.
Speaker 1 (00:15):
Good morning, Rich, Good morning to you. Bill.
Speaker 2 (00:18):
All Right, great story out there about AI and shoplifting. Now,
is this to help people shoplift or is it to
fight shoplifting. I'm a little confused.
Speaker 1 (00:28):
Well, it is to fight shop Oh I feel bad. Okay, Yeah,
I think that's probably a smarter use of it. This
is called vision. We went to a seven to eleven
and seem Valley that's using it, and it's just what
you would imagine. So instead of having a person sit
there and watch the cameras twenty four to seven, you
(00:49):
actually have AI doing that and they're analyzing the video
feeds from existing cameras, by the way, and they are
looking for suspicion. It's just gestures that might indicate shoplifting.
That's really what this is all about. Any sort of
gesture is putting something in your pocket, bag whatever. It's
trained on like five thousand different clients that they have
(01:12):
around the world, millions of interactions, and as soon as
you put something in your pocket or do something that
might be deemed suspicious, the store owner gets an immediate
alert and it says, hey, this might be shoplifting, and
let's they can decide what they want to do with that. Okay.
Speaker 2 (01:27):
So if you, for example, you pick up something and
then all of a sudden you have you have an
itch in your in your junk and you go to
scratch it, you're in trouble.
Speaker 1 (01:39):
Well, I don't know, because you know, the AI is trained.
It's better than a human. So it's going to sit
there and understand scratching yourself versus putting something in your
pocket or hiding or concealing something. And so you know,
each each one of these flags gets a grade, so
it may say, you know, low alert, medium alert, critical alert.
(02:01):
So it's you know, it's not perfect because it's AI,
but it's going to sort of score itself and say like, look,
we think this is a critical interaction versus this person
just scratched themselves.
Speaker 2 (02:12):
And so it's I find it fascinating that this is
a machine learning AI at sort of at this point,
at its far reaches where it can understand analyze and
as you say, it's like a CIA report high credibility,
medium credibility, low incident or low chance. And how how
(02:39):
advanced is this go ahead?
Speaker 1 (02:41):
I'm sorry, I mean I tried it. I tried it,
and I you know, I took some batteries and I
will tell you you know, when they when they had
me try it, they said like, hey, make sure you're
sort of like visible doing this. So you know, it's
one of these things where I think the technology is
still evolving like anything else. And I think that's someone
that is really good at, you know, concealing or making
(03:01):
sure they're not sort of near a camera, like if
the cameras don't have a good view of every aspect
of the store, that might be a problem. But I
think that in general, I mean a couple of times
I tested it out. You know, I put something in
my bag. It flagged it almost immediately. So you have
to think about Bill. I don't know if you ever
worked retail, but I did back in the day. And
(03:22):
you know, we used to have literally people sitting in
the rafters, like you know, up above the store. It
was a one way mirror and they were just watching
over the store and kind of checking out what people
were doing, looking in, maybe zooming in with cameras. Once
that technology came along, it was not a perfect system.
And so and neither is this. I don't think any
AI is perfect. But at the same time, you got
(03:43):
to think about if you're a small business owner, what's
your option. You are either watching these cameras twenty four
to seven, rewinding video after the fact. This is in
real time. And so when you think about that paradigm shift,
you are being empowered as a store owner. You understand
what's happening to your inventory in near real time versus
(04:05):
you know, a week later, did you take the batteries home? Yes,
I now have some D batteries, the ones that you
never really need.
Speaker 2 (04:14):
Yeah, yeah, the ones that they missed. All right, coming back,
I want to have a good time with us. I'm
going to ask you a question. This has to do
with AI powered radio radio stations, and oh boy, am
I going to have a.
Speaker 1 (04:27):
Good time with that.
Speaker 2 (04:28):
And then I have a challenge for us, and I'll
come back with that and let's continue on. Finish up
with our tech segment. Rich Demurrow or tech guy, Let's
finish it up. Rich, oh is this a great topic
that you came up with, AI powered radio station. All right,
(04:48):
explain that one, and then a challenge.
Speaker 1 (04:51):
What are we talking about? I did this, Yeah, I
did this for a reason because obviously you've been in
radio for many, many years, and I you know, I'm
just curious what you think about this trend. But let
me tell you the story. So right now in Los Angeles,
there is a pop up radio station called one oh
six point three the Fizz Okay, and it's all AI powered.
(05:14):
So the music, the DJs, all everything is just AI
the audio everything, and so it's it's made to kind
of have the feel of a nineties pop station or
maybe an eighties pop station. But here's the deal, bill
it is one hundred percent advertising Slice Soda, which you
probably remember that brand back in the day. They are
(05:35):
now rebranding as a more of like a healthy soda.
So whatever it is. But the point is, I listened
to this station this morning, and I think the magic
here is if you are just surfing the airwaves and
you happen to land upon this station. At first, it
sounds like a little pop station, but all of a sudden,
you're like, wait a second. Every song they're singing about
is soda related? Every band name is soda related. The
(05:59):
DJ sounds a little off because it's AI. But anyway,
I thought that was kind of funny that they're doing
this as a you know, a pop up radio station
in Promota soda.
Speaker 2 (06:08):
Okay, that part is interesting. I love the marketing end
of that. But of course, moving right into the technology, how,
for example, do the DJ sound when they're either introducing
music or doing some banter, if they do it at all.
And that's and then that leads right into our challenge here.
Speaker 1 (06:30):
Yeah, so it's just one DJ, bev AI generated female
and you know, I was listening this morning, and it
doesn't sound that convincing, like you might look if you're
passing through the airwaves and you just kind of land
upon this for a couple of minutes, you might not
really think much about it, but then all of a sudden,
if you listen for a while, you'll be like, Okay,
(06:50):
something's a little different here. And I'm not sure they
reveal that it's all AI on the station, but they
use like off the shelf stuff, So they use Suno
s U and m which is an AI music creation website,
and so that's where they made the songs, and they
used Gemini to sort of come up with the names
and the scripts that this DJ says, and so it's
(07:12):
all just like off the shelf stuff that they use
for this stunt. But I think it's it's a bigger issue, Bill,
and I'm ready for your challenge. But you know, we're
hearing more and more about AI taking over jobs and
taking over things. If you wanted to do this five
years ago, let's say you would have had to hire
a voice actor to do the AI voice. You would
have had to create someone that's creative, or hire someone
(07:35):
that's creative to make the musical tunes, you know, hire
writers to make the songs, the backstories for all the bands.
And now all this is done on a computer using
AI instantly.
Speaker 2 (07:47):
Now you're talking about original songs written by AI, not
just choosing songs that go in and just you know,
having a DJ banter and in true songs per in
AI program, you're actually talking about writing music.
Speaker 1 (08:06):
Yeah, that's but these these they literally have a couple
of these tools online that will write songs like that
make you can say what you want. I can say
I want a country ballad about downloading apps on the
iPhone and it will write a song with words or not.
Now I understand the words, but the music parts, the melody,
that is all the right thing. Yeah, there's a credible
(08:28):
d O U d io. It's it's will I am
as one of the big backers. Okay, the other one
is soon o. But these are things that people should
be aware of that are happening, like, okay, it's happening,
all right.
Speaker 2 (08:39):
Challenge of course, and you know where I'm going with this.
How do we put together uh an ai powered interview
or conversation that you and I have during the course
of the show and it may sound horrible at first,
and then we would do it as technology evolved.
Speaker 1 (08:58):
Uh Is it possible to that? Yes? Absolutely there are
I mean Google's Notebook LM will do it. Maybe not
in our voice, but if you want something that's in
our voices, yep, there's other there's other tools like eleven Labs.
I'd have to look into it. They do the big
voice to text stuff, but I think they could probably
(09:20):
handle the actual you know, making it in our voices.
But okay, Harry, I mean I don't know if I
want that because I oh, yes, you don't.
Speaker 2 (09:26):
No, no, yes you do. No, yes you do, because
the thought of both of us being put out of
business by one of these excites they hell out of me.
Because I still have a contract. I get paid whether
or not I'm here or not. So I'm fine with this.
Speaker 1 (09:37):
Now.
Speaker 2 (09:38):
The question is can we try to do it?
Speaker 1 (09:43):
I will look up the tools, Yeah, I will. Okay,
are you prepared?
Speaker 2 (09:46):
And then whatever, and if we have to hire someone
to put it together, I will pay for it.
Speaker 1 (09:51):
So is whatever it.
Speaker 2 (09:54):
I'm not going to spend thousands of dollars, but I
will spend I'll spend a few hundred.
Speaker 1 (09:59):
That would defeat the purpose if we If we spent
thousands doing that, you might as well just be their live.
Speaker 2 (10:04):
Yeah that's true, that's true, but I would I'm issuing
this challenge right now. Rich. If we can put together
a segment where you and I are not here and
it's we can broadcast it. Man, am I getting excited
about this?
Speaker 1 (10:22):
Okay? Let me let me. Let me see how to
do this, and we'll see if we can proceed.
Speaker 2 (10:26):
Okay, and then one real quick one voice to text
app for iPhone. I have an iPhone, and so tell
me about this.
Speaker 1 (10:34):
Yeah, I don't know how well the voice to text
works for you. It does not work very well for me.
But I've been using this app for the past two
months in beta. It is quite incredible. It's called whisper
flow wi sp r flow, and basically, once you add
it on your iPhone, it's kind of like adding a keyboard.
You basically talk into the app and it formats everything perfectly,
(10:57):
so you can speak if you want to do a
text message, a Gmail whatever it is, and it uses
AI so it doesn't just get the words right, it
gets how you're saying them properly. So Bill, if I
said three things to talk about on the show today,
it would actually list those out in the one, two, three,
like it would understand that I'm giving you a list
like that. So it formats everything perfectly. And if you
(11:21):
said something with like exclamation, like if you were like, hey, Bill,
we should definitely do this, it would put an explanation
mark at the end of there. So, I mean, it
really does a lot of things really well. It is free.
It's available on the App Store starting now. Like I said,
I've been using it for the past couple of months
on my iPhone.
Speaker 2 (11:39):
Everything you don't do the little microphone on the bottom
with your text.
Speaker 1 (11:46):
Never because it is so horrible to me. I just
don't think it works. I mean, so when you see
something like.
Speaker 2 (11:51):
This whisper flow, and that's the app in the app.
Speaker 1 (11:55):
Store, right, yeah, I'll link it up on my website.
So I want to make sure you get the right one.
Rich on tech dot TV, don't download some random thing
that says whisper because it could be you know who knows.
All right, down TV, I will do that.
Speaker 2 (12:07):
Okay, you got it, all right, rich Thank you. We'll
catch you this weekend eleven to two pm right here
on KFI everyday at k t l A. He's KTLA's
tech guy, Instagram, at rich on tech and the website
rich on tech dot tv.
Speaker 1 (12:23):
As he said, Rich, you have a good one. We'll
catch you next week, all right. You stay careful with
that vegan tiki masala.
Speaker 2 (12:30):
Oh god, by the way, the only thing I ate
was the rice. I'll tell you right now.
Speaker 1 (12:34):
The rest of it was gone.
Speaker 2 (12:37):
Okay, yeah, thank you,
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The official podcast of comedian Joe Rogan.
True Crime Tonight
If you eat, sleep, and breathe true crime, TRUE CRIME TONIGHT is serving up your nightly fix. Five nights a week, KT STUDIOS & iHEART RADIO invite listeners to pull up a seat for an unfiltered look at the biggest cases making headlines, celebrity scandals, and the trials everyone is watching. With a mix of expert analysis, hot takes, and listener call-ins, TRUE CRIME TONIGHT goes beyond the headlines to uncover the twists, turns, and unanswered questions that keep us all obsessed—because, at TRUE CRIME TONIGHT, there’s a seat for everyone. Whether breaking down crime scene forensics, scrutinizing serial killers, or debating the most binge-worthy true crime docs, True Crime Tonight is the fresh, fast-paced, and slightly addictive home for true crime lovers.