November 23, 2025 • 13 mins
Lisa & Russell don't know a whole lot about AI but in a bid to learn more they opened the phone and text lines to find out your thoughts. Plus Data & AI Executive, Sarah James chatted to the guys about AI and its capabilities.
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Episode Transcript
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Speaker 1 (00:00):
You know those such and such for dummies books. Yeah,
that are pretty prolific. We're going to do a bit
of a series of that this week. But on AI, because.
Speaker 2 (00:08):
AIS it can't be stopped. I don't think now.
Speaker 3 (00:11):
AI is here and affecting people in all sorts of
way ways, but there are many offers that are still
not exactly sure of how it's all working.
Speaker 1 (00:22):
Definitely one of them.
Speaker 2 (00:23):
Well, I'm trying to I am trying to learn it,
and I am trying to use a little bit. But
I you know, I think I think we've opened a
bit of a Pandora's box. I really do. And I
don't think. I don't even think the people who run
the big AI companies, I don't even think they know
where this is going.
Speaker 1 (00:39):
They're asking chat GPT, you know, tell them what's going on.
Speaker 2 (00:42):
So I was just going to say the apparently there's
billboards in some of the big cities in America at
the moment from AI companies. One of them says, don't
hire humans.
Speaker 1 (00:50):
Don't hire him.
Speaker 2 (00:51):
Don't hire humans like that's that's their.
Speaker 1 (00:54):
And this is why, this is why it terrifies me.
Paul in joodle up, Good morning morning.
Speaker 2 (01:01):
How is how are you, how are you tackling this?
Speaker 4 (01:06):
Oh yeah, well it's only just starting, like it's only
it hasn't fully been operational. But and it's not us either,
but a lot of rubbish trucks have got scanners in
them now with AI to find batteries and stuff that
shouldn't be in there. I was just speaking, yeah, and
I was just speaking to someone who does have it,
and it can actually send the letters out and eventually finds.
(01:29):
The problem is the person that did ten years of
university to think of this idea would hate for everyone
to find out that. I mean, the bins aren't locked.
I mean, anyone could have thrown it in there, so
they can't really do you anyway?
Speaker 5 (01:42):
Yeah, you know what I mean.
Speaker 2 (01:43):
Yes, that's true.
Speaker 4 (01:46):
And they do have upside down locks over east.
Speaker 2 (01:49):
Maybe a bins are on the way and they'll be
able to tell when it was opened and take a photo.
Speaker 3 (01:54):
Yeah yeah, maybe like or.
Speaker 1 (01:57):
Be in there inside.
Speaker 3 (02:00):
Basically that's his as I want to get, Okay, ridiculous.
I guess it's it's good that you know, they can
scan for stuff that's not meant to be in the bin,
like batteries and things. But yeah, they're you know, good
luck with trying to prosecute people for it, because.
Speaker 1 (02:16):
No, you really can't. You got you've got a defense.
Speaker 2 (02:19):
They'll find a way. They'll find a way, I promise you.
So rubbish trucks. There you go, the AI Revolution.
Speaker 3 (02:31):
To leave your note if you know there was stuff
in a bin that wasn't meant to be in a bin.
Speaker 2 (02:36):
Yeah, yeah, thanks for your time, Lisa. AI is infiltrating everything.
I saw a couple of weeks ago on one of
the download charts, an AI song was number one.
Speaker 1 (02:48):
And it was can't be good.
Speaker 2 (02:50):
It was in country music. It wasn't It wasn't techno
or rap or anything like that. This was a country
music song that was number one on a download chart.
Speaker 3 (03:00):
Complete there's there's nothing, There's nothing good about that.
Speaker 2 (03:04):
No, hasn't been such a bad musical move since Crazy Frog.
Speaker 1 (03:09):
Marry On the text said, I'm going to have that
in my head.
Speaker 2 (03:13):
Now I'll find that.
Speaker 1 (03:15):
Marry On the text says, I'm just glad I'm retiring soon.
Speaker 3 (03:18):
Ais a game changer and if you don't keep up
with it, you'll be left behind.
Speaker 1 (03:23):
Concerns me.
Speaker 3 (03:24):
Let's go to Bayswater and Steve good morning, morning later. Good.
Speaker 1 (03:30):
How scared should we be?
Speaker 6 (03:33):
I use it for everything, like my son's just taken
up skateboarding. And by taking up skateboarding, I mean he
got on and fell over and displained bos rip, Yes,
so I used doctor tat GPT. Did I need to
take him to the doctor straight away? How was this swelling?
And it's amazing. It gives you symptoms, tells you when
you should take him. I ended up getting X rays
(03:55):
just to be sure.
Speaker 2 (03:56):
Yeah, I would, yes, and you got a medical degree
by you know, having a word with chat GPT.
Speaker 6 (04:05):
I now I'm looking at Christmas presents and I'm getting
CPT to do reviews re links for skateboards. And I
use it for work like I'm in sales. I do
presos all the time, and I put my presos into
chat GPT to make sure my spellings should be on path.
Speaker 1 (04:23):
Okay there spell check for that.
Speaker 3 (04:26):
I mean, is chat GPT writing the prop for you?
Speaker 6 (04:31):
Or well, it's helping, it's helping phrase, it's helping my paragraphs. Okay,
too much energy in there.
Speaker 1 (04:42):
So it's your own editor.
Speaker 2 (04:44):
But Steve is chat GPT getting a slice of your
commission given the work that it's putting in there for you,
you lazy.
Speaker 6 (04:51):
Well no, but it's getting my subscription dollars, so it's
making a little bit of coin there you go.
Speaker 3 (04:57):
Yes, fair enough, that's true, all right, that's another side
to look. I'm not too sure she'd be relying on it.
Speaker 2 (05:08):
All right, So I think Steve sees the benefits.
Speaker 3 (05:11):
Yeah, it can be like your own personal editor.
Speaker 2 (05:16):
Just go in there so bad. You just go in there,
have a bit of a player around.
Speaker 1 (05:20):
You know.
Speaker 3 (05:22):
I just replaced my iPad because my iPad was so
old it wouldn't let me download chat GPT, so I
had to go get a new iPad. And you know
what's really annoying. The new iPad has a different sized
charger thing. So now the charger that sits you know, well,
because I only just got the new iPad, it had
(05:42):
this before. The old iPad had the same size charger
the charge the mobile phone, so I could use the
same one.
Speaker 1 (05:47):
Now I've got to chords going everywhere.
Speaker 2 (05:50):
Now Lisa's on a.
Speaker 3 (05:52):
Random Before we worry about AI and crap, let's just
get the chords, you know, aligned Joe and Billia, what
do you think of AIG?
Speaker 7 (06:04):
Good morning, morning, I'm concerned over the dehumanization of our world.
Speaker 6 (06:10):
Yes, I've got a.
Speaker 7 (06:12):
Sixteen year old who's currently trying to get work, and
we've already dehumanized with our self served checkouts and taken
away the right of passage for our kids to be
checkout chicks to get into this world. What's the next step?
How many more jobs are we going to remove for
our young people and make it harder for them to
get into the workforce.
Speaker 2 (06:31):
That's true, Joe. On the web site, some people might
say there's possibly new jobs that haven't even been invented
yet that may come out of this. So but I
understand we're in that transition at the moment. That's right,
And that's the concerning bit.
Speaker 3 (06:46):
Yeah, yeah, absolutely, I think dehumanization is a very good
term to use.
Speaker 2 (06:52):
I also think that when it comes to jobs, that
maybe it's trades that are going to be some of
the safer jobs rather than some of the white collar
jobs in the future, you know, because AI can't unblock
a dunny.
Speaker 7 (07:05):
I certainly can't. One of my kids is an apprentice
tradee so you know, but you know, AI jobs are
going to still take people out away from that face
to face contact, don't they It might be a new
job that face to face stuff is gone. Definitely.
Speaker 2 (07:22):
You've got a good point there, Joe.
Speaker 1 (07:23):
They're already having enough trouble face to face. Yeah, yeah, yeah,
I warrant.
Speaker 2 (07:31):
Concern right slightly worst case scenario Hello hello.
Speaker 5 (07:39):
So yeah, I use it a lot for writing emails
to people that have been idiots or done something wrong
without telling them they're idiots. Very very handy. So I'm
thinking I'm going to use it to draft the letter
to the Minister of the Bureau of Mediology and maybe
Chris Bowen as well, and a few other people that
you know, so we can tell them they're all idiots
(08:00):
without telling them they're all idiots, and they probably wouldn't
be able to understand the English anyway.
Speaker 2 (08:03):
Can I can I put my Can I put my
signature on that one?
Speaker 8 (08:06):
Yeah?
Speaker 2 (08:06):
Right, I'm not a big fan of the new bomb site.
Speaker 5 (08:10):
Pretty good petition that one, pretty well, it's million dollars.
Speaker 1 (08:15):
Evidently now they're saying, well.
Speaker 5 (08:16):
On how well you could just.
Speaker 1 (08:21):
Ai is baffled, like, I'm not there.
Speaker 2 (08:23):
Yeah, I would have said I could have done it
for twenty five bucks subscription. We're a little bit confused
this morning about AI.
Speaker 3 (08:30):
Yes, I've been a little bit confused about it for
some time now, but I thought it was time to
sort of go on the record and say, before this
really gets away from us, can we have a little
chat now. Sarah James is a data and AI executive
and she advises other executives on data and AI projects
for their clients. She has an expansive background across every
(08:51):
sector of technology and has been leading AI projects since
and this this date scared me because this is how
long it's been around for, since two thousand and three.
She is joining us to kick off this week of
talking to people about a I.
Speaker 1 (09:05):
Good morning, Sarah.
Speaker 2 (09:07):
Morning, Sarah, good morning.
Speaker 1 (09:14):
In the most lamany of layman terms, what is AI?
Speaker 7 (09:20):
So?
Speaker 8 (09:21):
AI is the creation of computer systems and software that
can perform tasks typically that require intelligence, so like reasoning,
solving problems, understanding language, and recognizing images and making decisions.
So yeah, that's what it basically is.
Speaker 2 (09:40):
How does it? How does it learn? Because we're always
told about how it learns and how it can be trained.
How does it do that?
Speaker 8 (09:48):
Yeah? So it uses something called machine learning, but in
our terms, so if you think about that in a
logical way. It's basically thinking. It's think and it's being
trained to think. So that's based on data. So there
is three types of different types of learning. So there's
supervised learning, there's unsupervised learning, and reinforcement learning. So reforcement
(10:14):
learning is like when you give your dog a treat,
that type of thing, so that enforces the data is
being used. Supervising learning is when you label the data,
so any input that you put in, you can say,
I like this data, this data is good, this is
what good looks like. And then unsupervised learning is where
you give the data a bit more free ring to
(10:36):
do what it wants and you'd let it find hidden patterns,
structures and groupings on its own. So that's kind of
the ways in which it learns.
Speaker 1 (10:45):
Is AI the same as a robot?
Speaker 8 (10:49):
No, definitely not. Okay, however, so a robot is physical,
So think of your car, think of the pretty cool
robots that are coming now as helpers so to speak.
In the workplace that yea a certain large company workwird
is doing. But you have to have a separate system
(11:10):
that is the AI, and that's the software or the
system that runs it. Think of it like the smarts. Yes,
it's like in your car, it's the smarts in your car.
That type of thing.
Speaker 2 (11:20):
One thing that gets talked about, Sarah, I got to
ask a question, do AI systems Do they have emotions
or consciousness? Can they? Could they?
Speaker 7 (11:30):
No?
Speaker 8 (11:30):
Not currently in the way we talk it, we don't
think so. But if you think about some of the
cool things that happening at the moment, there's like Hat six,
which Disney has been playing with for many, many, many years,
and that's about putting in feelings, so feeling heat, feeling touch,
(11:53):
that type of thing. So if you start to put
these technologies together, that's when it might get interesting, but
definitely not consciousness yet.
Speaker 6 (12:04):
Interesting.
Speaker 1 (12:05):
What do your thoughts, Sarah?
Speaker 3 (12:06):
Are people that say they're having a relationship with something.
Speaker 1 (12:09):
That's laugh.
Speaker 8 (12:14):
I don't don't know. I think there's a time and
a place for everything. I think I think there are.
In terms of loneliness, there are a lot of people
who are lonely in the world. So if you think
of it, like for as an elderly person who needs
an annual or a dog, If you think of it
that in those terms, there's good that these things can
(12:38):
always be used for not so good things as well.
So it's about having balance and having ethics and AI
and regulations around these things, which I'm sure you'll have
people talk about later in the week.
Speaker 3 (12:56):
Nice, Sarah, all right, well that's a good start something
to take in. We will we do have so many
other things to talk about. But Sarah, thank you for
setting us on our way. AI is not the same
as a robot the dog.
Speaker 2 (13:11):
Things that RoboCop and terminator aren't here yet, but there
aren't the way.
Speaker 8 (13:17):
You might be surprised to learn that we've had AI
on us for many, many years.
Speaker 1 (13:22):
Well I was.
Speaker 3 (13:23):
Yes, I couldn't believe how long you've been involved with it.
Speaker 8 (13:26):
It's anyway, well yeah, yeah, look at look at smartphones. Yeah,
the look at your maps that are on the phone map. Yes,
and those have had it in there since.
Speaker 1 (13:37):
Good things, they are all the good things.
Speaker 3 (13:39):
Yeah, all right, well, Sarah, thank you, thank you for
sending us on our way on this AI journey that
we're on this week.
Speaker 2 (13:45):
Wow, it's a it's a brave new world.
You know those such and such for dummies books. Yeah,
that are pretty prolific. We're going to do a bit
of a series of that this week. But on AI, because.
Speaker 2 (00:08):
AIS it can't be stopped. I don't think now.
Speaker 3 (00:11):
AI is here and affecting people in all sorts of
way ways, but there are many offers that are still
not exactly sure of how it's all working.
Speaker 1 (00:22):
Definitely one of them.
Speaker 2 (00:23):
Well, I'm trying to I am trying to learn it,
and I am trying to use a little bit. But
I you know, I think I think we've opened a
bit of a Pandora's box. I really do. And I
don't think. I don't even think the people who run
the big AI companies, I don't even think they know
where this is going.
Speaker 1 (00:39):
They're asking chat GPT, you know, tell them what's going on.
Speaker 2 (00:42):
So I was just going to say the apparently there's
billboards in some of the big cities in America at
the moment from AI companies. One of them says, don't
hire humans.
Speaker 1 (00:50):
Don't hire him.
Speaker 2 (00:51):
Don't hire humans like that's that's their.
Speaker 1 (00:54):
And this is why, this is why it terrifies me.
Paul in joodle up, Good morning morning.
Speaker 2 (01:01):
How is how are you, how are you tackling this?
Speaker 4 (01:06):
Oh yeah, well it's only just starting, like it's only
it hasn't fully been operational. But and it's not us either,
but a lot of rubbish trucks have got scanners in
them now with AI to find batteries and stuff that
shouldn't be in there. I was just speaking, yeah, and
I was just speaking to someone who does have it,
and it can actually send the letters out and eventually finds.
(01:29):
The problem is the person that did ten years of
university to think of this idea would hate for everyone
to find out that. I mean, the bins aren't locked.
I mean, anyone could have thrown it in there, so
they can't really do you anyway?
Speaker 5 (01:42):
Yeah, you know what I mean.
Speaker 2 (01:43):
Yes, that's true.
Speaker 4 (01:46):
And they do have upside down locks over east.
Speaker 2 (01:49):
Maybe a bins are on the way and they'll be
able to tell when it was opened and take a photo.
Speaker 3 (01:54):
Yeah yeah, maybe like or.
Speaker 1 (01:57):
Be in there inside.
Speaker 3 (02:00):
Basically that's his as I want to get, Okay, ridiculous.
I guess it's it's good that you know, they can
scan for stuff that's not meant to be in the bin,
like batteries and things. But yeah, they're you know, good
luck with trying to prosecute people for it, because.
Speaker 1 (02:16):
No, you really can't. You got you've got a defense.
Speaker 2 (02:19):
They'll find a way. They'll find a way, I promise you.
So rubbish trucks. There you go, the AI Revolution.
Speaker 3 (02:31):
To leave your note if you know there was stuff
in a bin that wasn't meant to be in a bin.
Speaker 2 (02:36):
Yeah, yeah, thanks for your time, Lisa. AI is infiltrating everything.
I saw a couple of weeks ago on one of
the download charts, an AI song was number one.
Speaker 1 (02:48):
And it was can't be good.
Speaker 2 (02:50):
It was in country music. It wasn't It wasn't techno
or rap or anything like that. This was a country
music song that was number one on a download chart.
Speaker 3 (03:00):
Complete there's there's nothing, There's nothing good about that.
Speaker 2 (03:04):
No, hasn't been such a bad musical move since Crazy Frog.
Speaker 1 (03:09):
Marry On the text said, I'm going to have that
in my head.
Speaker 2 (03:13):
Now I'll find that.
Speaker 1 (03:15):
Marry On the text says, I'm just glad I'm retiring soon.
Speaker 3 (03:18):
Ais a game changer and if you don't keep up
with it, you'll be left behind.
Speaker 1 (03:23):
Concerns me.
Speaker 3 (03:24):
Let's go to Bayswater and Steve good morning, morning later. Good.
Speaker 1 (03:30):
How scared should we be?
Speaker 6 (03:33):
I use it for everything, like my son's just taken
up skateboarding. And by taking up skateboarding, I mean he
got on and fell over and displained bos rip, Yes,
so I used doctor tat GPT. Did I need to
take him to the doctor straight away? How was this swelling?
And it's amazing. It gives you symptoms, tells you when
you should take him. I ended up getting X rays
(03:55):
just to be sure.
Speaker 2 (03:56):
Yeah, I would, yes, and you got a medical degree
by you know, having a word with chat GPT.
Speaker 6 (04:05):
I now I'm looking at Christmas presents and I'm getting
CPT to do reviews re links for skateboards. And I
use it for work like I'm in sales. I do
presos all the time, and I put my presos into
chat GPT to make sure my spellings should be on path.
Speaker 1 (04:23):
Okay there spell check for that.
Speaker 3 (04:26):
I mean, is chat GPT writing the prop for you?
Speaker 6 (04:31):
Or well, it's helping, it's helping phrase, it's helping my paragraphs. Okay,
too much energy in there.
Speaker 1 (04:42):
So it's your own editor.
Speaker 2 (04:44):
But Steve is chat GPT getting a slice of your
commission given the work that it's putting in there for you,
you lazy.
Speaker 6 (04:51):
Well no, but it's getting my subscription dollars, so it's
making a little bit of coin there you go.
Speaker 3 (04:57):
Yes, fair enough, that's true, all right, that's another side
to look. I'm not too sure she'd be relying on it.
Speaker 2 (05:08):
All right, So I think Steve sees the benefits.
Speaker 3 (05:11):
Yeah, it can be like your own personal editor.
Speaker 2 (05:16):
Just go in there so bad. You just go in there,
have a bit of a player around.
Speaker 1 (05:20):
You know.
Speaker 3 (05:22):
I just replaced my iPad because my iPad was so
old it wouldn't let me download chat GPT, so I
had to go get a new iPad. And you know
what's really annoying. The new iPad has a different sized
charger thing. So now the charger that sits you know, well,
because I only just got the new iPad, it had
(05:42):
this before. The old iPad had the same size charger
the charge the mobile phone, so I could use the
same one.
Speaker 1 (05:47):
Now I've got to chords going everywhere.
Speaker 2 (05:50):
Now Lisa's on a.
Speaker 3 (05:52):
Random Before we worry about AI and crap, let's just
get the chords, you know, aligned Joe and Billia, what
do you think of AIG?
Speaker 7 (06:04):
Good morning, morning, I'm concerned over the dehumanization of our world.
Speaker 6 (06:10):
Yes, I've got a.
Speaker 7 (06:12):
Sixteen year old who's currently trying to get work, and
we've already dehumanized with our self served checkouts and taken
away the right of passage for our kids to be
checkout chicks to get into this world. What's the next step?
How many more jobs are we going to remove for
our young people and make it harder for them to
get into the workforce.
Speaker 2 (06:31):
That's true, Joe. On the web site, some people might
say there's possibly new jobs that haven't even been invented
yet that may come out of this. So but I
understand we're in that transition at the moment. That's right,
And that's the concerning bit.
Speaker 3 (06:46):
Yeah, yeah, absolutely, I think dehumanization is a very good
term to use.
Speaker 2 (06:52):
I also think that when it comes to jobs, that
maybe it's trades that are going to be some of
the safer jobs rather than some of the white collar
jobs in the future, you know, because AI can't unblock
a dunny.
Speaker 7 (07:05):
I certainly can't. One of my kids is an apprentice
tradee so you know, but you know, AI jobs are
going to still take people out away from that face
to face contact, don't they It might be a new
job that face to face stuff is gone. Definitely.
Speaker 2 (07:22):
You've got a good point there, Joe.
Speaker 1 (07:23):
They're already having enough trouble face to face. Yeah, yeah, yeah,
I warrant.
Speaker 2 (07:31):
Concern right slightly worst case scenario Hello hello.
Speaker 5 (07:39):
So yeah, I use it a lot for writing emails
to people that have been idiots or done something wrong
without telling them they're idiots. Very very handy. So I'm
thinking I'm going to use it to draft the letter
to the Minister of the Bureau of Mediology and maybe
Chris Bowen as well, and a few other people that
you know, so we can tell them they're all idiots
(08:00):
without telling them they're all idiots, and they probably wouldn't
be able to understand the English anyway.
Speaker 2 (08:03):
Can I can I put my Can I put my
signature on that one?
Speaker 8 (08:06):
Yeah?
Speaker 2 (08:06):
Right, I'm not a big fan of the new bomb site.
Speaker 5 (08:10):
Pretty good petition that one, pretty well, it's million dollars.
Speaker 1 (08:15):
Evidently now they're saying, well.
Speaker 5 (08:16):
On how well you could just.
Speaker 1 (08:21):
Ai is baffled, like, I'm not there.
Speaker 2 (08:23):
Yeah, I would have said I could have done it
for twenty five bucks subscription. We're a little bit confused
this morning about AI.
Speaker 3 (08:30):
Yes, I've been a little bit confused about it for
some time now, but I thought it was time to
sort of go on the record and say, before this
really gets away from us, can we have a little
chat now. Sarah James is a data and AI executive
and she advises other executives on data and AI projects
for their clients. She has an expansive background across every
(08:51):
sector of technology and has been leading AI projects since
and this this date scared me because this is how
long it's been around for, since two thousand and three.
She is joining us to kick off this week of
talking to people about a I.
Speaker 1 (09:05):
Good morning, Sarah.
Speaker 2 (09:07):
Morning, Sarah, good morning.
Speaker 1 (09:14):
In the most lamany of layman terms, what is AI?
Speaker 7 (09:20):
So?
Speaker 8 (09:21):
AI is the creation of computer systems and software that
can perform tasks typically that require intelligence, so like reasoning,
solving problems, understanding language, and recognizing images and making decisions.
So yeah, that's what it basically is.
Speaker 2 (09:40):
How does it? How does it learn? Because we're always
told about how it learns and how it can be trained.
How does it do that?
Speaker 8 (09:48):
Yeah? So it uses something called machine learning, but in
our terms, so if you think about that in a
logical way. It's basically thinking. It's think and it's being
trained to think. So that's based on data. So there
is three types of different types of learning. So there's
supervised learning, there's unsupervised learning, and reinforcement learning. So reforcement
(10:14):
learning is like when you give your dog a treat,
that type of thing, so that enforces the data is
being used. Supervising learning is when you label the data,
so any input that you put in, you can say,
I like this data, this data is good, this is
what good looks like. And then unsupervised learning is where
you give the data a bit more free ring to
(10:36):
do what it wants and you'd let it find hidden patterns,
structures and groupings on its own. So that's kind of
the ways in which it learns.
Speaker 1 (10:45):
Is AI the same as a robot?
Speaker 8 (10:49):
No, definitely not. Okay, however, so a robot is physical,
So think of your car, think of the pretty cool
robots that are coming now as helpers so to speak.
In the workplace that yea a certain large company workwird
is doing. But you have to have a separate system
(11:10):
that is the AI, and that's the software or the
system that runs it. Think of it like the smarts. Yes,
it's like in your car, it's the smarts in your car.
That type of thing.
Speaker 2 (11:20):
One thing that gets talked about, Sarah, I got to
ask a question, do AI systems Do they have emotions
or consciousness? Can they? Could they?
Speaker 7 (11:30):
No?
Speaker 8 (11:30):
Not currently in the way we talk it, we don't
think so. But if you think about some of the
cool things that happening at the moment, there's like Hat six,
which Disney has been playing with for many, many, many years,
and that's about putting in feelings, so feeling heat, feeling touch,
(11:53):
that type of thing. So if you start to put
these technologies together, that's when it might get interesting, but
definitely not consciousness yet.
Speaker 6 (12:04):
Interesting.
Speaker 1 (12:05):
What do your thoughts, Sarah?
Speaker 3 (12:06):
Are people that say they're having a relationship with something.
Speaker 1 (12:09):
That's laugh.
Speaker 8 (12:14):
I don't don't know. I think there's a time and
a place for everything. I think I think there are.
In terms of loneliness, there are a lot of people
who are lonely in the world. So if you think
of it, like for as an elderly person who needs
an annual or a dog, If you think of it
that in those terms, there's good that these things can
(12:38):
always be used for not so good things as well.
So it's about having balance and having ethics and AI
and regulations around these things, which I'm sure you'll have
people talk about later in the week.
Speaker 3 (12:56):
Nice, Sarah, all right, well that's a good start something
to take in. We will we do have so many
other things to talk about. But Sarah, thank you for
setting us on our way. AI is not the same
as a robot the dog.
Speaker 2 (13:11):
Things that RoboCop and terminator aren't here yet, but there
aren't the way.
Speaker 8 (13:17):
You might be surprised to learn that we've had AI
on us for many, many years.
Speaker 1 (13:22):
Well I was.
Speaker 3 (13:23):
Yes, I couldn't believe how long you've been involved with it.
Speaker 8 (13:26):
It's anyway, well yeah, yeah, look at look at smartphones. Yeah,
the look at your maps that are on the phone map. Yes,
and those have had it in there since.
Speaker 1 (13:37):
Good things, they are all the good things.
Speaker 3 (13:39):
Yeah, all right, well, Sarah, thank you, thank you for
sending us on our way on this AI journey that
we're on this week.
Speaker 2 (13:45):
Wow, it's a it's a brave new world.
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