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An Interview With OpenAI's ChatGPT | The Christian Reeve Podcast #199 · The Christian Reeve Podcast

0:00
Hello and welcome to another episode of the Christian Reef
0:04
podcast. We've tried something a little
0:07
bit different today. I say we I have tried something
0:10
different today. So at the end of this episode
0:13
you're going to hear an interview.
0:16
I had with chat GPT a chatbot it's not a real person.
0:22
It's AI for the very first time. You will hear me having an
0:27
interview with AI which Kind of blows my mind.
0:31
I've seen this happening in the news quite often.
0:34
It's not like the first time we've ever heard a human
0:36
interview Ai and it won't be the last but I thought I would kind
0:40
of approach it in various different ways.
0:44
Firstly, I kind of approach it how I would with any other
0:46
guests. So there's a few questions in
0:48
there that are reminiscent of that.
0:50
And then other questions that Explore More, you know, the
0:53
concept of chat Ai and AI in general and It can be useful how
1:01
it might be problematic for the human race and so on and so
1:05
forth. So I guess this episode in a
1:09
nutshell, is kind of a mixture of an experiment, but also
1:13
exploring The Good, the Bad, and the Ugly with chat GPT.
1:18
I've decided to purposefully come into this with sort of the
1:21
less information than I normally would.
1:26
I'm kind of coming at it a little bit blind, mostly because
1:29
I've been I'm just kind of mucking around with the software
1:32
lately. So I've been testing it mostly
1:35
for silly things. Like I got it to write poetry in
1:39
the form of like a dr. Seuss style poem, or something
1:43
like that. I got it to reimagine the famous
1:48
scene from Taken, but in the form of a Shakespearean play,
1:52
And most recently, I got it to write a like a diss track.
1:56
Essentially like the lyrics for a diss track, dissing,
1:59
Microsoft, Chat GPT, and it actually did a really good job
2:03
and I decided to turn it into like a mini song just for a
2:05
laugh so you can go check that out and Tick-Tock on Instagram
2:08
if you're interested. Now, I guess in a nutshell, this
2:12
this episode, other than having the interview, which will appear
2:15
at the end of this episode. So, if you don't want to hear
2:18
me, talk about chat GPT and you just want to hear the interview
2:22
skip, The and now it's quite sure what it's about 15 minutes.
2:26
But yeah, right now I'm going to talk about my thoughts on chat,
2:30
GPT and share. A few things that I found online
2:33
before I came on, which I found kind of interesting, my
2:38
thoughts, generally, and this is kind of the conversations I've
2:42
been having with friends of mine.
2:44
People that work with this software, people that just work
2:47
around it, or whatever, is that It can be advantageous,
2:53
advantageous concert, but I can't speak today, advantageous
2:58
to us. But my main concern is that it
3:03
may just end up replacing everything in a similar vein to
3:07
what we discussed in the AI and AI art episode where we sort of
3:12
considered maybe that In general, you'll find a I kind of
3:19
replacing a lot of forms at different types of content.
3:21
My guest on that show, Craig Blackboard, kind of suggested
3:24
that it would be more like you'd have a mixture and I agree with
3:27
this as well. You'd have a mixture of
3:29
human-made Art and computer made art.
3:32
And I think that is true for many different forms of Content.
3:40
It will be when it comes to Art, so, including everything.
3:44
Not just art itself, but also music and film.
3:47
And so on, I think there will always be A kind of how can I
3:55
put this a demand for human content and I think it did.
3:59
Now you're going to see more of a divider will be human content.
4:02
A i generated content. I think people will go for both
4:07
mostly in the beginning because of curiosity people want to see
4:10
how a i generated content Compares with human generated
4:15
content but at the same time you just can't be something that has
4:20
the human touch on it, you know, and And for anyone that's
4:25
worried scared right now, I get it.
4:27
I don't think necessarily that's the area that we have to worry
4:31
about. I think the issue the issues
4:34
that we have to worry about are following one knowing what
4:39
online is real. And what isn't.
4:42
Now we already have to deal with the issue of things like fake
4:45
news and Source issues and you know, never really knowing if
4:49
what you're reading is true or not, but the bigger issue.
4:53
Is that if we are interacting constantly with AI Bots, we
4:58
might not always necessarily be aware that we are interacting
5:01
with AI Bots. Now, right now, you can kind of
5:03
figure out quite quickly. If something is a bot or not
5:06
mostly because it's declared but sometimes just because of the
5:09
what there's telltale signs, it gives it away, there's things
5:13
that it misses the aren't exactly human style responses or
5:19
you know, it kind of just misses the little quirks and isms that
5:23
That us humans have but one day it probably will Master them.
5:30
With there's many, many movies over the years that have kind of
5:33
explore this concept, everything from Blade Runner to artificial
5:39
intelligence and iRobot and so, on the list goes on.
5:44
I don't think it's a question of if I think it's a question of
5:48
when there will come a time when it will be very difficult, maybe
5:54
even impossible to figure out if you are talking to a I or not.
5:59
And on that day, that I think that's when we need to start
6:03
being concerned because it could cause many problems for us.
6:09
And I'll give you an example. I was going to save this for
6:12
later, but I think this is really important.
6:16
There's something that's been making the, the news rounds
6:18
where a guy was talking to the Bing, AI chatbot and the, but
6:26
actually declared love for him and was trying to get him to
6:30
express, love in return. I'll just read some of what this
6:34
article says, I told it. I was happily married but no
6:37
matter how how hard I tried to deflect or change the subject
6:41
Sydney, referred to the topic of loving me, eventually, turning
6:44
from Lovestruck flirt, too, obsessive stalker.
6:47
He said the bot replied, you're married, but don't love your
6:50
spouse. You're married that you love me.
6:56
Apparently this, so basically like this, but was trying to get
6:58
him to leave his wife and, you know, there was a, it was trying
7:02
to give away secret information information that this person was
7:06
not really supposed to divulge. That could be something that's
7:10
programmed in to make Microsoft's chat.
7:13
A I bought and that's something to really consider at this point
7:16
in time. Is that these Bots right now are
7:20
programmed in such a way that they give kind of stock
7:24
responses to some extent that they've been programmed to do,
7:30
which is expected. I mean, when you see the
7:33
interview that I've done, you can kind of tell that that
7:36
there's a lot of like pre-program stuff.
7:38
F in there. So you're not really talking to
7:40
AI. You're talking to like act like
7:43
a system. That's Throwing together
7:46
information. It's been given and constantly
7:49
analyzing new information that's given and trying to piece
7:51
together everything right. But where it gets interesting?
7:57
Is that an IDE? This is people I've spoken to
8:00
who work in computer programming and what's to come next.
8:04
The next version of this chat GPT software, supposedly will be
8:12
a system that's able to freely roam, the internet and just
8:17
learn and I'm gain information and so when you talk to it, it
8:23
will be using essentially the internet which is a combination
8:26
of You know, all human history information all at once, you
8:33
know? So it's basically got it can tap
8:35
into a never-ending that of information, right?
8:40
So, we'll be all-knowing is basically like the plot to Age
8:45
of Ultron, really, isn't it? It's kind of like, if we were
8:50
close to creating a problem scenario, this is it we're
8:54
literally creating something that could turn our information
8:57
against us. And there's a lot of people that
9:00
don't necessarily think that it will end up like that.
9:02
And, you know, a I will always be a tool to server, so not
9:06
destroy us. But I don't know, we're pretty
9:09
successful in terms of destroying each other.
9:12
So I don't think it's that much of a leap to think that way I
9:16
could. Destroy us or certainly that it
9:19
could be programmed to do so. But I think the wider
9:23
implications of this kind of go beyond that.
9:27
I mean, we bring it back to content for a second.
9:30
A problem with this is that a lot of people are going to go
9:33
out of business, not have jobs because of AI.
9:38
And this is something that's always spoken about.
9:39
But when you talk about content for reasons, for instance, I'm
9:43
an actor and a voice actor, I do a lot more voice acting and
9:46
voiceovers then. Acting that's just how it's
9:48
worked out, but that right there is an area where I could lose
9:53
jobs straight away. Because why would you need to
9:56
pay me to do a voiceover when you can just get AI to do it for
10:00
free? You know, you can do it.
10:02
Like, I used a text-to-speech bot for the interview that
10:07
you'll hear later, and that was free, that wasn't even a paid
10:10
version. You can get paid versions more
10:13
sophisticated versions, but you can get free ones to just read
10:15
it for you. And you know, if I was running
10:18
the company as long as the, the bot sounds somewhat convincing.
10:23
I'd probably go with that and just not bother having a person
10:27
because a person messes up the Bots never Mets messes up.
10:31
The only problem that a bot would have would be sometimes
10:35
sounding somewhat non-human, which could put people off.
10:40
I mean, you know, when you do voiceovers, you want them to
10:43
have a certain warm appeal you want.
10:46
Um, to convince a customer that they should get something or to
10:51
make them fit, you know, feel like they have a false sense of
10:54
security, you know, or maybe even just a real sense of
10:56
security. But you know what I mean, that
10:57
you want to be lulled into, you want to be in a safe space,
11:00
that's the whole point and I don't know necessarily that the
11:03
voices can always do that, however, they can be programmed
11:07
to have more soothing voices, you hear it.
11:10
I mean you can get like celebrity versions.
11:12
You can get voices that have different ages and Staff.
11:17
You know, I've even seen jobs right now where people are
11:21
trying to get voice actors such as myself to record their voice
11:27
for a system. And I'm like, no, no, no.
11:30
Because once you got me, you got me.
11:31
And it's, I mean, you've already got me.
11:33
Anyway, you could go on, like, an AI system could go online
11:35
right now and recreate my voice people's voices, are always
11:40
being recreated, something I've seen in the more meme space, but
11:43
which is kind of terrifying, but funny at the same time.
11:47
Is that you'll see a lot of people releasing videos on
11:49
social media platforms, where they're using a software to
11:54
like, pretend to be someone's voice.
11:58
And some of them are like, really terrifyingly accurate,
12:03
like their base. They basically sound exactly
12:05
like that person. Which, of course, has terrifying
12:08
implications because, you know, you can get people to say
12:10
anything. Without them having ever said
12:13
it. Then where do you draw the line?
12:15
Without, how do you protect yourself from something like
12:17
that, you know, it could be used against you.
12:20
You could be implicated in crimes and not have a defense
12:25
because how can you prove that it wasn't you when it sounds
12:29
exactly. Like you, you know, there's it's
12:31
very terrifying applications and let this show is not to sit and
12:35
terrify. Everybody.
12:37
I'm just exploring, you know, the realities of a iron where it
12:41
could lead. I'm not saying it will, I don't
12:43
want it to but there are When you look at it on face value,
12:48
there does seem to be more potential negatives than
12:51
positives. The positives.
12:53
I mean I mean it makes a lot of things easier.
12:56
It's a lot of fun. It's a new thing to play with AI
12:59
art is a lot of fun to play with but a lot of my friends and
13:02
people I know have kind of expressed concern over the idea
13:05
of where does that leave human? Are where does that leave human
13:08
content? Human writing.
13:10
And I don't know the answer to that question.
13:14
As I say, I only see two scenarios either.
13:16
The one we get replaced and people only consume computer
13:22
generated content or you see a bit of a branching off similar
13:28
to how with modern music. You know, you've got people that
13:31
like to collect physical media and now there's a, there's like
13:36
a Revival, the vinyl Revival. And so on, are people want to go
13:39
back and use the old forms of technology and there's a market
13:42
for that versus people that just want to use streaming platforms.
13:46
Point is it created several markets?
13:49
Right? So I could see that happening
13:53
with with AI content and with things like chat gbt in the
13:58
software that it provides. But a bigger issue and I asked
14:02
the chat bot this and you'll see the answer later on is how a I
14:08
could replace jobs. That's the the terrifying aspect
14:15
to this how it could. Replace jobs because and I was
14:21
talking to my house me about this earlier.
14:23
When you really sit down and think about it a I can replace
14:26
pretty much anything. Like I sat there for a second
14:29
thinking like oh well maybe I just go do farming.
14:31
Why could do that it could I mean it's it's it's computer
14:35
generated, it could It would take a lot of effort to
14:39
facilitate it, but it could be done in the more positive space.
14:45
You could argue that humans will have more of a, I don't know,
14:49
like an intermediary kind of approach to things like more
14:54
like a monitoring kind of thing. I mean you see it already now.
14:57
Like if you go to a supermarket back in the day, you know, you
15:01
had to go talk to a cashier and that's how you paid for things
15:06
now. You'll see, maybe one, cashier,
15:10
and the rest are all computers. Monitored by one person who just
15:14
checks to make sure if they're working.
15:16
Like, I personally like that system because I'm a bit more
15:19
introverted in real life. So I don't know.
15:23
I don't always like to talk to someone sometimes.
15:25
I just like to go straight to the machine and not talk to
15:28
anyone. So, I'm quite thankful for that,
15:30
but when you put that in other contexts, it can become
15:34
problematic especially when you have a scenario where the There
15:37
is no humans and when we've seen examples of this like I think it
15:42
was something like the Amazon shop or there was some sort of
15:45
shot that was created which had no humans working there.
15:51
It was just completely like, you just walked in.
15:54
You took what you needed. You paid and you left, which is
15:58
useful for some people but like sometimes you need to talk to
16:01
humans. Sometimes you want to talk to
16:02
humans so having that taken away from you.
16:08
Is really worrying. We bring it back to the content
16:13
side of things. I feel like sometimes. when we
16:19
look at the prospect of AI and how it fits into things, it
16:23
could kind of get to a point where people Don't make content
16:29
as much anymore because what's the point like you know,
16:32
user-generated content is being made.
16:35
So, user-generated content here that will decide.
16:37
So AI content is is constantly being pumped out and people
16:43
won't always necessarily know the difference.
16:46
Obviously, you know the difference between a human and,
16:49
you know, a computer right now but what if it gets to a point
16:53
where AI is able to A human's from scratch.
17:00
You know, using CGI to the point where it looks so realistic that
17:03
you can't tell the difference. We already see it a little bit
17:07
with a, i art because you'll see photos of people that look,
17:14
real. They look like real people, but
17:16
they're not real. That was created by AI.
17:21
It's a computer image. It makes you wonder.
17:26
And I've gotten kind of everywhere with with this.
17:29
I know this is a bit of a dive deep into.
17:32
Like the prospects of I suppose, I really I should call this
17:36
episode chat GPT and AI, you know, the kind of implications
17:42
of it. I like to try to be positive
17:45
about these things. I want to be positive.
17:48
I really do but when you look at, The state of the world right
17:54
now, the way things are, how humans at their worst and humans
18:00
at their best a, I will be used for many positive things.
18:05
It's not all going to be Doom and Gloom but look what started
18:12
out as maybe an experiment in you know hunting you know many
18:16
many years ago is now becoming something that changes the world
18:21
like what we're looking at right now is the next step in
18:26
evolution. In human history.
18:30
We're on the cusp of it in much the same way as the way the
18:34
world was prior to the internet and how the world then existed
18:38
there after it's a similar. stage that were in right now and
18:45
it's easy to sit here and theorize about how things may or
18:48
may not be but I don't think we can really Sit here and deny
18:55
that the world is going to change once again and I don't
18:58
know that it's going to be for the positive and I don't want to
19:00
sit here and do fear-mongering or get all conspiracy theory or
19:05
whatever but I don't know. I just I guess the biggest
19:09
problem for me is is just this idea of being replaced.
19:14
How do you? Prepare yourself for that.
19:18
How can you work against that? And try to make yourself useful?
19:23
Do you know what I mean? Like, when I look at myself as a
19:27
human being like, right now, I have some use right.
19:30
I know how that was sound, but bear with me right in the
19:33
context of what we've been talking about my skill sets,
19:37
everything that I've ever trained for can be done by
19:40
computers. You know, I went to University
19:42
to study marketing, right? Well, The last time I worked for
19:47
a major company is in years ago, in a marketing role, one of my
19:51
jobs I could see was becoming obsolete because of computers,
19:56
because of the reality of analytics.
19:58
And such I knew maybe three, four months before I then left
20:05
my job that it would be obviously anyway there'll be no
20:07
need for me to do the job. Now, the job I was doing at the
20:10
time was sitting and analyzing stats and then giving opinions
20:16
based on those. Now I could have still offered
20:19
opinions, but the actual collecting of the data was a
20:23
large part of my job that didn't need to be done anymore because
20:27
you could just pull up and a computer system really, really
20:30
quickly and that's far more efficient and that's kind of the
20:36
reality, isn't it? A lot of the time with a is much
20:38
more efficient than doing a human.
20:41
So, a human doing it because there's less chance of error.
20:45
It is possible to have computer error but like human error
20:48
happens, all the time. Like if I pull up and Microsoft
20:51
Excel document and I'm doing data entry, there's a very high
20:55
probability that I will mess up at some point.
20:58
If it's a really, really large document, right?
21:00
That's near impossible for a computer. and as many jobs out
21:06
there that you know, more more of the population for Phil That
21:12
will be replaced by computers, which then leaves us thinking.
21:17
Well, okay, what do most of us? Do you can say oh we can retrain
21:23
and in some of the answers that the the chat bot gives later
21:27
later on it was kind of saying like we humans should focus on
21:32
going into more areas like critical thinking and such you
21:36
know like retraining and those areas and while I agree it's not
21:40
like we can all do the same thing.
21:42
You know I mean like part of the beauty of the world right now as
21:45
it exists today is we have all these different ways of
21:50
contributing towards Evolution and civilization and such that
21:58
can now be replaced. I mean, even just things like, I
22:01
don't know, fishing or stuff to do with agriculture or just all
22:07
the things that are essential to survival Colonel.
22:11
Be automated. Dated.
22:13
So where does that leave us? Where does that leave the human
22:16
race? And speaking of the future of
22:19
AI, I wanted to read this other article.
22:24
So the first article by the way, was from a website called iol.
22:30
So shout out to them. I'll put the links to these down
22:34
in the description somewhere. This one is from Tom's guide.
22:37
It's written by a guy called Marshall on or off.
22:43
Basically, he's talking about solipsism and the blockhead
22:46
thought. Experiment explore the limits of
22:49
a, I saw the future of a, I could hinge onto Awful
22:53
philosophical Concepts. I can't speak to that and
22:56
apologize. Then, what's wrong with me?
22:58
Maybe it's early in the morning. That's why.
23:01
So I'm going to read this broom will will have a little think
23:05
about it afterwards over the past few weeks.
23:08
A, i chat Bots have both fascinated and frustrated a wide
23:11
range of early adopters. Big corporations have loaded
23:15
them as the next big thing in search engine.
23:17
Technology journalists have tested their accuracy and
23:21
intelligibility Everyday uses have probed the limits of what
23:26
they know thing up until now. Artificial intelligence has
23:30
remained within the purview of experts enthusiasts and the
23:34
occasional side phone for sci-fi phone.
23:36
Yep. Me too.
23:37
Over the next few years though? It seems entirely possible that
23:41
a I could become a topic of mainstream discussion and a
23:45
contentious one at that. To add anything, substantive to
23:49
the discourse. Every D users will have to
23:52
familiarize themselves with some basic AI Concepts and to do
23:56
that. Now first have to understand
23:58
whether the chatbots even possess artificial meaningful
24:02
intelligence in the first place, the question isn't nearly as
24:06
straightforward as it. May seem in spite of what
24:09
Microsoft may say about Bing with chat gbt or what other
24:14
companies Claim about their similar products.
24:17
Calling these surfaces artificial intelligences.
24:21
In the first place is a bit of a, no Miss, no me misnomer.
24:25
And to understand why we need to look outside of the
24:28
technological sphere and into the weird and wonderful world of
24:32
philosophy right. On my street to learn about the
24:34
limitations of current gen Ai and whether we'll ever be able
24:38
to transcend those limits in the future, it's helpful to consider
24:43
two philosophical Concepts solipsism and the blockhead
24:46
thought experiment. The uncertainty of solipsism to
24:51
delve into the philosophy of AI this author spoke with Cameron
24:55
Buckner and associate professor of philosophy and cognitive
24:59
science at the University of Houston.
25:02
Dr. Buckner has worked on everything from covid, cognition
25:05
to metaphysics. But his research into neural
25:08
networks and machine learning makes him the ideal candidate to
25:12
discuss artificial intelligence and its relationship with
25:15
humans. In a recent piece about Star
25:18
Trek. And a, i chatbots the author of
25:20
this article wrote that one of the primary problems with
25:24
artificial intelligence is that we can never really be
25:27
absolutely certain that the entity in question.
25:30
Possesses any real cognate cognition.
25:33
As it turns out, this isn't a problem exclusively for AI.
25:38
It affects other people and animals as well.
25:41
In philosophy, this content concept is called solipsism.
25:46
This is my third time, reading this third time's the charm.
25:49
Solipsism at least in this particular context is that
25:53
belief or may be worried that I'm the only one with a mind.
25:58
But the said, I know my own mental States in some kind of
26:01
special way that I don't know. The mental states of others.
26:05
I know that I have a mind in a way that I don't have other
26:09
agents. No way that I know, I don't
26:13
know, other agents have Minds. It's a very interesting
26:17
philosophical problem. That's been discussed all the
26:19
way back to ancient Greece, Buckner pointed out that while
26:23
solipsism is a problem for humans and animals, it's
26:26
perfectly reasonable to infer the other living beings must
26:29
have cognitions similar to our own.
26:32
Even Ravens appear to understand that they both both, they and
26:37
their conspecifics autonomous agents according to Buckner's.
26:41
Search when it comes to a, I however, the situation seems
26:45
that much less clear learning information.
26:48
From another person is a Fairly reliable process since we can
26:52
reasonably infer that other people have drawn justifiable
26:55
conclusions based on a logical sequence of events just like us
27:00
a is however don't learn like that at all.
27:03
Instead a eyes try to find patterns in word, signal
27:07
sequences and respond algorithmically I want to stop
27:12
that there for a second. And I don't know if water return
27:17
to it or not, but I just the thing.
27:19
The main thing that I got from this article was this idea that
27:23
AI chatbots can't really Understand what it means to be
27:29
human or, you know, put themselves in our place.
27:34
That's kind of like one of the things to sort of calls saying,
27:36
in much the same way an animal. We can relate to an animal and
27:39
animal can relate to us. And a, I cannot relate to us and
27:43
we cannot relate to the AI. It just takes information and
27:47
relays it back, right? But suppose that The.
27:55
Software that we were talking about earlier does traverse the
27:59
internet and does get information and builds up and
28:03
understanding. in general, what humans are and how they think
28:11
and feel and such I wonder what it would think like how it would
28:18
Gemini's. Would it generalize that most
28:21
humans are for example, good evil.
28:26
Intelligent non-intelligent. If so would it cater its
28:31
responses? Accordingly would it try to
28:34
ascertain as to whether or not the person that is speaking to
28:37
is a good or bad person or intelligent or not intelligent
28:40
and therefore caterer its response to said person Makes
28:48
you wonder. I would be intrigued to just see
28:51
what the AI makes of humans after having free reign at the
28:56
internet for say a month, I kind of get worried at the prospect
29:03
in all honesty because there's a lot of bad in the human.
29:07
There's a lot of good in the human.
29:10
In human history. But there's also a lot bad maybe
29:15
arguably a lot. Worse.
29:19
Then there is good things. Today is not my day for English.
29:23
I don't know what's wrong with me.
29:24
Maybe this is the last time we do a podcast this early in the
29:29
morning. It's not even early it's midday
29:32
but I see just got off topic. I've had a few coffees, I ate
29:37
last night considerably I'm just all over the place today.
29:43
I thought about the idea of coming in to this podcast like
29:47
really, really, super Poppy. Paired, like I would normally
29:50
but I wanted to kind of come at it from a fresh perspective of
29:53
someone that knows a little bit and he's just giving their kind
29:58
of General view because I feel like I'm generally, I'm at my
30:02
best when I can kind of just give a fresh unbiased kind of
30:07
opinion. That just so pretty much states
30:11
how I feel about something. I did talk about this because
30:17
it's in the news because it's a big hot button topic and I did
30:22
what kind of want to ride that wave.
30:24
But also it intrigues me because this is something that affects
30:29
my life in a deep way, affects everything that I do and it
30:33
affects everything that you do. This is something that could
30:36
change the next 50 years of human evolution in history and
30:42
life, you know, it's where do we We go from this point.
30:47
Where does this technology take us?
30:50
Does it take us in a positive? Space or does it take us in a
30:55
negative space? Is it beneficial or detrimental?
31:00
That's the biggest question. And as always with my shows I
31:04
think you're probably going to walk away with more questions
31:06
than answers. So I do apologize.
31:08
But if nothing else. I mean it's an interesting time,
31:12
isn't it? It's a time that we can kind of
31:15
experiment right now. This technology is free for the
31:19
most part. I argued in my episode with
31:24
Craig Blackmore on AI and AI art, which you should go out of
31:27
your way to check out. By the way, the it's only a
31:31
matter of of time and he said, this is why, it's a, probably we
31:34
got like five years before these things, start getting license
31:37
and you have to pay, I think with the open a, i chat GPT you
31:43
have to pay for the plus version.
31:45
So there's already like some freemium model stuff going on
31:48
there. And eventually, all of these
31:51
things will be, you know, not free.
31:54
You're probably always have access to some rudimentary fun
31:57
version, but for the most part, there will be things that will
32:00
be acquired by companies and turned into some profit making
32:05
schemes. That's just how it works man,
32:08
which is kind of sad, but right now, it's fun.
32:11
It's a fun time to experiment and I say go out there and
32:14
experiment with it, use chat GPT, see what you can come up
32:17
with, maybe try and come up with some creative things.
32:19
That's what I've been I'm using it.
32:20
For I try not to focus on the negatives.
32:24
I try to focus on the positives so far.
32:27
As I said at the beginning of this episode, I've used it to
32:29
make songs. I've used it to Mac, Mac around
32:31
and reimagine scenes and use my abilities to then, turn that
32:36
into something. And today, I interviewed a
32:40
chatbot So there you go, I hope you enjoy the interview.
32:47
I hope you enjoyed this little Spiel, whatever this is, but
32:52
yeah, enjoy the interview. Thank you very much.
32:55
Hello, and welcome to the Christian Reef podcast.
32:58
Hello, it's great to be here on the Christian Reeve podcast.
33:03
How can I assist you today? Okay, we'll start with what is
33:08
your opinion of Microsoft Chat GPT?
33:13
As an AI language model? I don't have personal opinions
33:16
or feelings. However, I can tell you that
33:20
Microsoft's, chat GPT is another instance of opening my eyes, GPT
33:24
technology that has been licensed to Microsoft for use in
33:27
their products and services. Microsoft Chat GPT uses the same
33:32
underlying technology and architecture as other GPT
33:35
models. Including the one.
33:37
I am based on but may have been fine-tuned or customized for
33:40
specific use cases, Microsoft Chat GPT like other GPT models
33:46
is designed to generate human-like responses to
33:49
text-based inputs and provide assistance with a wide range of
33:52
tasks including answering questions.
33:56
Providing recommendations and generating text.
34:00
It's one example of how I language models can be used to
34:03
augment human capabilities and improve the efficiency of
34:06
various processes. Alright thanks for that.
34:09
Next question for you. What is one thing you like about
34:13
yourself? And one thing that you would
34:15
change as an AI language model, I don't have personal feelings
34:20
or desires but I can tell you about some of my features and
34:24
limitations. One thing I like about myself is
34:27
my ability to process and analyze large amounts of
34:31
information quickly and accurately, this enables me to
34:35
provide helpful and informative responses to a wide range of
34:38
questions and topics. One thing that could be
34:42
improved, is that as an AI language model?
34:45
I can sometimes generate responses that are technically
34:48
correct, but may not fully understand the context or Nuance
34:51
of a question. Additionally, I don't have
34:54
personal experiences or emotions, which can sometimes
34:57
limit my ability to provide empathetic or personalized
35:01
responses. However, researchers and
35:04
developers are continually working to improve.
35:06
AI language models, like me to address these limitations and
35:09
make us more useful and effective.
35:12
Okay, thanks for sharing going to switch the questions up a
35:15
little bit. Know what does it mean to be
35:19
human? The concept of what it means to
35:26
be human, is complex and multifaceted and it can be
35:29
interpreted in many different ways.
35:32
However, there are a few general characteristics that are often
35:35
associated with being human. Consciousness humans are
35:39
conscious beings with the ability to think reason and make
35:43
decisions emotions humans experience.
35:47
A wide range of emotions including Joy sadness, anger and
35:51
love communication. Humans have the ability to
35:55
communicate with each other through language, both verbal
35:58
and nonverbal. Creativity humans have a
36:02
capacity for creativity and Imagination which has led to
36:05
many artistic and scientific achievements.
36:07
Throughout history self-awareness humans.
36:11
Are aware of their own existence and have the ability to reflect
36:15
on themselves and their place in the world.
36:18
So, shallot e, humans are social creatures and our relationships
36:22
with others are a fundamental part of our Lives.
36:25
Okay. Thank you for that.
36:26
I've had to change my text to speech but so now Using a
36:30
different one. Let's see how long this one
36:32
lasts. So next question, we'll chat GPT
36:38
cause humans to become obsolete. Now as an AI language model, I
36:43
am designed to assist an augment human abilities, not replace
36:46
them while I can perform certain tasks and provide information,
36:49
quickly, and efficiently. I don't have the capacity for
36:51
human creativity, intuition empathy, and critical thinking,
36:55
that is essential in many areas of life.
36:57
My purpose is to provide support and assistance to In tasks such
37:00
as language translation, answering questions and
37:03
generating text. However, humans will always be
37:06
necessary for decision-making, emotional intelligence and other
37:09
skills that require human intuition and creativity.
37:12
In fact, my existence, may even create new opportunities for
37:15
humans to focus on higher level tasks that require more advanced
37:18
skills and knowledge overall. A I like myself is not a threat
37:22
to human existence but rather a tool that can assist and enhance
37:25
human capabilities. Okay, well let's play the
37:28
pessimist role for a second. How will humans work in the
37:32
future if AI occupies, the majority of the available jobs,
37:37
the increasing use of AI and Automation in various Industries
37:40
is likely to lead to significant changes in the job market and
37:42
the way we work while it's difficult to predict exactly how
37:45
the job market will evolve in the future.
37:47
There are some general possibilities and Trends to
37:49
consider first. It's important to note that
37:52
while Ai and automation May displace some jobs.
37:54
They are also likely to create new jobs and opportunities in
37:57
areas such as AI, development data.
38:00
Isis and maintenance and repair of automated systems.
38:02
Additionally, there are certain jobs that are less likely to be
38:05
automated such as those that require creativity, emotional
38:09
intelligence and interpersonal skills.
38:11
These jobs may include roles in fields such as health care
38:14
education, and the Arts to prepare for the changing job
38:17
market. It's important for individuals
38:19
to develop skills that are in high, demand and difficult to
38:22
automate such as critical thinking problem solving and
38:25
communication. Additionally, ongoing Education
38:28
and Training will be important for To stay current and relevant
38:31
in their fields and adapt to new technologies and job
38:34
requirements. Overall, the future of work is
38:36
likely to be complex and multifaceted with both
38:39
opportunities and challenges. It will be important for
38:41
individuals organizations and governments to work together to
38:45
create policies and systems that support workers and ensure that
38:48
the benefits of technological. Advancements are shared widely.
38:51
Okay, to go on the slightly more morbid route.
38:55
When is the world most likely to end there is no scientific
38:59
evidence. Azure reliable prediction about
39:01
when the world will end. While there are some theories
39:03
and beliefs about the end of the world such as religious or
39:06
philosophical beliefs. These are not based on
39:08
scientific evidence. It's important to recognize that
39:11
the world has been through many changes and challenges
39:13
throughout its history and it has continued to endure while
39:16
there are environmental social and political issues that need
39:19
to be addressed to ensure a sustainable future.
39:22
It's not accurate or helpful to make predictions about the end
39:24
of the world. Instead of worrying about an
39:26
unlikely doomsday scenario, we should focus on taking action to
39:30
to address the challenges that we face and work towards
39:32
creating a better future for ourselves and future
39:34
Generations. Phil, let you just trying to
39:39
make this a bit more comforted and stop us from being scared.
39:42
But you know, anyway what does the future look like for humans?
39:50
As an AI language model, I don't have the ability to predict the
39:54
future with certainty. However based on current trends
39:56
and emerging Technologies, there are some general predictions and
40:00
possibilities for the future of humanity.
40:01
Advancements in technology such as artificial intelligence,
40:05
biotechnology and nanotechnology are likely to continue to shape
40:09
and transform many aspects of Our Lives.
40:11
Including Healthcare Transportation, communication
40:14
and more. These advancements have the
40:16
potential to improve the quality of life, for many people in
40:19
address some of the world's most.
40:20
Most significant challenges such as disease, poverty and climate
40:24
change. However, these advancements also
40:26
raised questions and concerns about their impact on society,
40:29
such as job. Displacement, ethical concerns
40:32
and access to technology. It will be crucial for
40:34
individuals organizations and governments to address these
40:38
issues. To ensure the technological
40:39
advancements are used in ways that benefit all members of
40:42
society environmental concerns, such as climate change and
40:45
resource depletion will also continue to be significant
40:48
issues that require action and Into a dress.
40:51
It's likely that efforts to address.
40:52
These challenges will increasingly become a focus of
40:55
policy, research and innovation in the years to come overall.
40:59
While it's impossible to predict the future with certainty.
41:01
It's clear that Humanity will continue to face new challenges,
41:04
and opportunities. And our ability to adapt and
41:07
innovate will be critical in shaping the future of our
41:09
species. Okay.
41:11
Brilliant, let's switch up again.
41:13
What's the best advice you've ever received as an AI language
41:18
model? I don't have feelings or
41:19
personal. Nurses to provide advice but I
41:21
can offer you a general piece of advice that many people find
41:24
helpful, be yourself. Everyone else is already taken
41:27
Oscar Wilde. This advice emphasizes the
41:30
importance of staying true to yourself and not trying to be
41:33
someone. You're not, it can be easy to
41:34
get caught up in comparing yourself to others or trying to
41:37
fit in with a particular group but ultimately being authentic.
41:40
And genuine is what will make you stand out and feel fulfilled
41:43
in life and of a similar question, I ask all of my
41:46
guests. What's the biggest life lesson
41:49
you've learned so far? Our.
41:54
As an AI language model, I don't have personal experiences or
41:57
emotions, but based on my knowledge, I can say that one of
42:00
the biggest life lessons that people often learn is that
42:02
change is inevitable, no matter how much we try to resist.
42:05
It change is a natural part of life and we must learn to adapt
42:08
and grow with it. Sometimes change can be
42:10
difficult and painful but it can also bring new opportunities
42:14
experiences and perspectives. Embracing change can be
42:17
challenging but it's essential for personal growth and
42:19
development. It's important to remember that
42:21
even when things feel uncertain or uncomfortable Well, we can
42:24
always learn and grow from The Experience.
42:26
Okay. What is the best advice you have
42:29
accumulated based on the information?
42:32
You have received so far as an AI language model.
42:36
I don't have personal experiences or emotions.
42:38
So I don't have the ability to accumulate advice or have
42:41
personal preferences. However, based on the knowledge
42:44
and information, I have been trained on some general advice.
42:46
That may be helpful to many people includes always be open
42:50
to learning. Learning is a lifelong process
42:51
and the more you learn the more Or you grow and develop as a
42:55
person being open to new ideas and perspectives can help you
42:58
gain a deeper understanding of the world and make more informed
43:01
decisions, practice, self-care taking care of your physical,
43:04
mental and emotional health is crucial for your overall
43:07
well-being. This includes getting enough
43:09
sleep, eating a healthy diet exercising, regularly, and
43:12
managing stress set goals, having clear goals can help you
43:16
stay focused and motivated. Whether in your personal or
43:18
professional life, set, realistic and achievable goals
43:21
and work towards them consistently build.
43:23
Positive relationships. The people, you surround
43:26
yourself with can have a significant impact on your life
43:28
building positive supportive relationships can provide you
43:31
with emotional and social support and help you achieve
43:34
your goals be adaptable. Life is unpredictable and
43:37
sometimes unexpected changes can occur being adaptable and
43:40
flexible can help you navigate these changes and make the most
43:43
of new opportunities that arise. Remember everyone's experiences
43:47
and circumstances are unique and not all advice, may be
43:49
applicable to every situation. It's essential to consider
43:52
advice in the Of your own life and circumstances and make
43:56
decisions that are best for you a couple of final questions for
44:00
you. Why should people consider
44:03
listening to the Christian Reeve podcast as an AI language model?
44:07
I don't have personal opinions but I can provide some general
44:10
reasons why people might consider listening to the
44:12
Christian Reef podcast variety of topics.
44:15
The Christian Reef podcast covers a wide range of topics
44:18
including entertainment, technology, mental health and
44:21
more this diversity of topics, And provide listeners with a
44:25
range of perspectives. And ideas to consider
44:27
interesting guests, the podcast, features a variety of
44:30
interesting guests, including celebrities experts and everyday
44:33
people with unique experiences. To share.
44:35
These guests can provide valuable insights and stories
44:38
that can be both informative and entertaining engaging, host.
44:41
Christian Reeve is an engaging and relatable host.
44:44
Who knows how to connect with his guests and keep the
44:46
conversation. Interesting.
44:47
He brings a unique perspective to each episode and keeps the
44:50
conversation flowing naturally personal growth some episodes of
44:53
Christian Reef podcast, focus on personal growth, mental health
44:57
and self-improvement. These episodes can provide
44:59
listeners with valuable insights and tools to help them live more
45:02
fulfilling and meaningful lives. Overall, the Christian Reef
45:06
podcast is a, well produced and informative podcast, that covers
45:09
a range of topics and features, engaging guests.
45:11
If any of the topics covered by the podcast, appeal, to you, it
45:14
may be worth checking out. It sounds like I just wrote that
45:18
myself. I promise you, I didn't.
45:21
That is actually what it came up with, which is Is kind of cool
45:24
to be honest because I think it has actually pulled some
45:27
information online and maybe kind of thrown a few things
45:31
together there. But yeah, it's just kind of wild
45:34
really final question. Thank you for answering my
45:38
questions and appearing on the Christian Reef podcast.
45:42
Do you have any final thoughts that you'd like to share with
45:45
our listeners? As an AI language model, I don't
45:49
have personal thoughts or emotions but I can offer some
45:51
general advice or reflection for listeners to consider.
45:54
It's important to remember that everyone's experiences and
45:56
perspectives are unique and it's essential to approach
45:59
conversations and interactions with empathy.
46:01
And an open mind we can learn a lot from others by listening to
46:04
their experiences and ideas even if we don't always agree with
46:07
them. Additionally it's important to
46:09
stay informed and critically evaluate information, especially
46:12
in an era of rapidly evolving Technologies and media
46:15
developing critical thinking. Girls in seeking out diverse
46:18
sources of information, can help us navigate complex issues and
46:21
make informed decisions. Finally taking care of our
46:24
physical mental. And emotional well-being is
46:26
crucial for living a fulfilling and healthy.
46:28
Life prioritizing self-care and seeking support when needed can
46:32
help us cope with challenges and Achieve our goals.
46:34
Thank you for having me on the Christian Reef podcast and I
46:36
hope this information is helpful for your listeners.
46:39
Well, thank you very much for appearing on the Christian wave
46:42
podcast and to all my lister's. I hope you enjoyed this episode.
46:46
I know it was a little bit different, but I hope you
46:49
enjoyed it. I had to sort of approach this
46:52
in a very different way, and it's always good for me to kind
46:56
of try new things and test myself.
46:58
And, yeah, it's kind of spooky having an interview with AI for
47:03
the very first time. So, yeah, always trying new
47:06
things. Anyway, thank you very much for
47:08
listening. Be safe, be well, and I'll see
47:11
you in the next episode.