August 11, 2025 • 54 mins
The fourth great revolution of human history is already here, and it's transforming every aspect of society faster than we can comprehend. Artificial intelligence has arrived barely two decades into the new millennium, following the printing, industrial, and digital revolutions that reshaped previous centuries.
Our panel explores the profound implications of AI through the lens of faith and ethics.
How does AI impact education when students can generate papers without absorbing knowledge? What happens to workers displaced by technology? Can artificial intelligence truly create meaningful sermons or is something essentially human lost in the process? And what does Pope Leo XIV's recent message on technology's dehumanizing potential mean for people of faith?
We discover both promise and peril in AI's rapid advance. Medical applications that analyze millions of scans to improve diagnoses. Construction tools that detect dangerous structural flaws before they cause harm. Productivity enhancements that free humans from mundane tasks. Yet alongside these benefits lurk serious concerns about deep fakes, scams, and the fundamental question of whether machines can truly replace human creativity and wisdom.
The conversation takes a particularly fascinating turn when examining work through theological perspectives. As beings created in God's image with an innate drive to create and contribute, what happens when machines take over traditionally human roles? Our panelists argue that regardless of technological advancement, humans will always need meaningful work and creative outlets to fulfill their divine purpose.
As we navigate this brave new world of artificial intelligence, join us in exploring how faith traditions might guide our relationship with these powerful tools. Will we harness AI to enhance human flourishing, or will we surrender essential aspects of our humanity in pursuit of efficiency? The choices we make today will shape generations to come.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:01):
There's something happening here, what it is ain't
exactly clear.
There's a man with a gun overthere Telling me I got to beware
.
I think it's time we stop.
(00:23):
Children, what's that sound?
Everybody, look what's goingdown.
There's battle lines beingdrawn.
Nobody's right if everybody'swrong.
(00:45):
Nobody's right if everybody'swrong.
Young people speak in theirminds Are getting so much
resistance from behind Everytime we stop.
Hey, what's that sound?
Everybody, look what's goingdown.
Speaker 3 (01:05):
Welcome to A Show of Faith where professor, priest,
millennial and rabbi discusstheology, philosophy, morality,
ethics and anything of interestin religion.
If you have any response to ourtopics or any comments
regarding what we say, we'd loveto hear from you.
Email us at ashowoffaith1070 atgmailcom.
Ashowoffaith1070 at gmailcom.
(01:28):
You can hear our shows againand again by listening.
Pretty much everywhere podcastsare heard.
Our priest is Fr Mario Arroyo,retired pastor of St Cyril of
Alexandria in the 10,000 blockof Westheimer.
Hello, our professor is DavidCapes, protestant minister,
director of academic programmingfor the Lanier Theological
Library.
Speaker 4 (01:46):
Great to be here.
Speaker 3 (01:47):
Rudy Kong is our millennial.
He's a systems engineer.
Master's degree in theologyfrom the University of St Thomas
.
Speaker 5 (01:54):
Howdy, howdy.
Speaker 3 (01:55):
I'm Stuart Federo, retired rabbi of Congregation
Sha'ar HaShalom, the Clear Lakearea of Houston, texas.
Miranda is our board operatorand she helps us sound fantastic
.
Speaker 4 (02:05):
All right, miranda, go, go, go, david, you're up,
I'm up.
Tonight we're going to betalking about artificial
intelligence, ai and some of theissues associated with it.
You know, back in the lastmillennium, that's the last
thousand years, so it was 1000AD or CE, if you prefer, to 2000
(02:33):
.
There were several bigrevolutions.
One was the printing revolution.
Up until 1450, all books hadbeen created by hand.
Every letter and every wordthat was written had to be
written by hand.
It was a slow, laborious,expensive proposition.
(02:56):
Then, when the printing pressbecame a reality, it was
possible to make multiple books,many, many books, fast, fast
and faster.
That changed fundamentally the,the way people think and their
access to knowledge.
(03:17):
Well, back in the 19th century,there was a thing called the
industrial revolution.
It wasn't so much aboutlearning, it was about how
things were made andmanufactured and came to our
homes, let's say, and thatfundamentally changed economics
as well.
Now that came with all sorts ofups and downs and hard, hard
(03:39):
times, because a lot of peoplewere taken advantage of in that
time.
Well, in the latter part of the20th century, we had a thing
called the digital revolution.
And the digital revolution cameabout oh, between the 70s, I
guess, or maybe between the 50sand about the year 2000, when
(04:00):
the millennium came to an end.
And when that millennium cameto an end, the world was
fundamentally different, becauseof computers, because of the
internet.
And now, after three revolutionsin the last millennium, we're
at the very beginning of thisthird millennium common era.
(04:22):
And guess what?
We already have a revolution.
It is the AI revolution,artificial intelligence
revolution, and it is changing alot.
It's changing everything and itwill change everything.
It'll change learning, it'llchange universities, it'll
(04:44):
change economics, it'll changeuniversities it'll change
economics.
It'll change entertainmentemployment, all different
aspects of that.
So tonight I thought what wewould do is we would kick around
a little bit some ideas thatare circulating around about AI,
artificial intelligence, andwhat it is doing.
(05:04):
Now, Stuart, let me start offwith this have you used
artificial intelligence yet?
Speaker 3 (05:10):
David, I don't know if I have the intelligence to
use the artificial intelligence.
When I first tried a coupleyears ago I guess, when chat GPT
yeah, I don't know what I did,but I downloaded a virus or
something with it, because everytime I tried to get on the chat
(05:31):
GPT it gave me a totallydifferent website and tried to,
so I just stayed away from it.
I really haven't done AI.
Speaker 4 (05:39):
All right.
Well, let me go to ourmillennial down in.
Where are you these days, Rudy?
Speaker 5 (05:47):
I am in Guatemala.
Speaker 4 (05:48):
In Guatemala.
All right, home you are ayounger man, guatemalan, he's a
kid.
He's a child, yes, and you'reprobably the only person here
who has Bitcoin in our group.
I do, yeah, okay, well, I, Imean, I have no idea, I don't
(06:10):
even think I, I don't have anyclue what.
That is all right, so so, rudy,have you used artificial
intelligence?
Speaker 5 (06:15):
I use it every single day okay, tell me about every
single day how I use it.
So I I'm a systems engineer bytrade, okay, and so what that
means is early on in my careeras a budding engineer, I dealt a
lot with software and howsoftware can be molded, applied,
(06:42):
configured to help controllet's call it production, if you
will.
So I worked a lot with what'scalled ERPs Enterprise Resource
Planning softwares which helpyou control, let's say,
purchasing, accounting,invoicing, quality, yada, yada,
(07:04):
yada.
So today, what I've done isI've built using AI, because it
also speeds up my coding.
Now, to me, it helps me a lotbecause I already know and have
some good fundamentals, I wouldsay, on how hardware and systems
(07:25):
work together.
So I use key prompts to speedup, if you will, my coding to
build tools.
So, for example, I do consultingwork right now and I'm working
at a construction firm and we'rebuilding a residential building
, 24 floors, and there's a lotof purchasing.
(07:49):
There's a lot of purchasingthat happens, there's a lot of
production that happens, and soI've created essentially an
online tool, which isessentially a website you can go
to, that's linked to ourproduction software, our ERP,
and what it's doing every singleday is it pulls purchasing data
(08:11):
, inventory data, productiondata, and we review it every
morning with our team to makesure that we have the right
hardware, that we're purchasingthe right things.
It helps me look at Go ahead.
Speaker 3 (08:24):
Robert, the right things, um, but it helps me look
at go ahead.
Well, excuse me, but is that?
That's a program that doesthese things for you?
But is it, for lack of a betterterm, artificially intelligent?
Is it?
Is it thinking or is it justdoing the program it's told to
do?
Speaker 5 (08:43):
that's.
That's a good point and and Ithink maybe that's something
that we should talk about toobecause what we call today
artificial intelligence isn'treally artificially intelligent.
It relies on a lot of inputfrom organic intelligence, if
you will, to kind of guide it tothat.
(09:05):
Now there are certain thingsthat I've developed too.
For example, our sales pipeline, because we sell these
apartments.
I created a chatbot that youcan talk to, essentially, and it
gives you particular detailsabout apartments, what's going
on, and this all happens throughWhatsApp.
But I wouldn't call itessentially artificial
(09:27):
intelligence.
It's just sort of a set ofprompts, if you will, figured
around.
Some machine learning, thatkind of guides it.
But, to answer your question,tools like ChatGPT, like Cloudy,
like Sona, those tools I haveconfigured in such a way that I
(09:53):
use to kind of help me in mydaily tasks.
Here's another example I builtanother tool that patches into
my email and I run this everyMonday morning and every Monday
morning it goes through myemails and it gives me a summary
of emails that have gone in andcome out that haven't been
followed up on.
(10:13):
So it kind of emails me backthis executive summary.
Now I wouldn't say it's doinganything.
How do you say artificiallyintelligent, because it relies
on a lot of my prompts.
So those are kind of a few ofthe ways that I use Father Mario
, what about you?
Speaker 4 (10:33):
Are you using artificial intelligence at all?
Speaker 8 (10:36):
Well, you know, I agree with Rudy in terms of how
you define artificialintelligence.
But let me give you an examplehow you define artificial
intelligence.
But let me give you an example.
Just right now I walked intothe studio here and David asked
me did you read the article?
(10:56):
And I said no, I didn't knowthat, I didn't see it, and so I
was on my iPhone and, while wewere getting ready to start, I
copied the article and I put itinto a program called Recall
that's on my iPhone, and it gaveme a semi-brief outline of the
(11:21):
article.
Speaker 4 (11:23):
So you could read the outline of the article.
So you could read the outlineof the article.
Speaker 8 (11:25):
Yeah, but I still thought it was too long for me
to read before I was on the air,and so I said to the artificial
intelligence please summarizeeven this.
And it gave me a summary whichyou can see right here.
This is the entire summary ofthe whole article.
So it's about 600 words, yeahand so, while you guys were
(11:48):
talking, I was able to read it,and so you got it, you got a
sense of it, yeah, so um, seefor me, um, I I learn a lot on
on youtube because youtube has alot of lectures, all kinds of
very interesting stuff, but Idon't have the time to spend an
(12:11):
hour and a half reading it, so Iput these videos which don't
tell all the words to them.
I mean there's no line.
I mean not line by the line,and so I put it into an AI thing
called again, it's calledRecall and it gives me an
outline of everything that issaid.
(12:31):
It gives you a written outlineof the spoken word.
Yes, that's right, it gives mea written outline of the spoken
word and then, if I still toolong, I take that outline and I
ask another program to summarizeit for me and it gives me a
very good summary of what itsays.
Speaker 4 (12:50):
So how many people do you think you could employ to
do all that for you?
I couldn't, you couldn't, Icouldn't, okay, but let me ask,
rudy, because you're in abusiness, you're getting
consulting money, which is bigmoney.
I know that I'm just kiddingabout that, but you're getting
consulting money, which is bigmoney.
I know that, uh, I'm justkidding by that, uh, but you're
getting paid.
How many could you have peopledo what this ai is doing?
(13:13):
Are people losing their jobs inguatemala because, because of
this technology?
Speaker 5 (13:22):
uh I?
The short answer is yes, butthe more nuanced answer is the
people that know about it arelearning about it and are
becoming more efficient to doingmore things in their tasks.
So, because of AI, because ofthese types of tools it's called
, and because I don't think it'skind of fair to call it like a
(13:45):
true AI but I know I mean we cancontinue using that term it's
okay.
I think we kind of get wherethat's going, right.
Right, I'm able to expand theamount of work that I'm able to
do within, let's say, an hour.
So I'm probably three or fouror five times way more
(14:05):
productive, um, in my analyticsand building reports and analyze
, I mean just all sorts ofdifferent, and I've been and
I've been able to build toolsspecifically that I probably
would have had to hire aprogrammer to do.
So I have essentially in-housedwhat would have cost me money
(14:29):
to do but you know.
Speaker 8 (14:32):
We need to go to a break.
Speaker 5 (14:32):
Yeah, I mean it's definitely.
Speaker 8 (14:34):
We need to go to a break now.
Okay, yep, this is 1070 KMTHand we will be right back.
Speaker 9 (14:43):
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Speaker 6 (16:45):
Johnny Angel, johnny Angel, johnny Angel, you're an
angel to me.
Speaker 4 (16:55):
Ai cannot do this, I know.
Speaker 1 (16:57):
Johnny Angel.
Speaker 3 (16:59):
Wait five years or less.
Speaker 4 (17:02):
Not stir his heart the way that Karen Carpenter
stirs his heart.
Speaker 1 (17:07):
He's got something that I can't resist, but he
doesn't even know that I exist.
Speaker 6 (17:34):
I'm in heaven.
I get carried away.
I dream of him and me and howit's gonna be.
Speaker 1 (17:43):
All the fellas call me up for a date, but I just sit
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I'd rather concentrate onjohnny angel, because I love him
and I pray that someday he'lllove me, and together we will
see how lovely heaven will be,and together we will see how
(18:13):
lovely heaven will be Welcomeback to A Show of Faith on AM
1070.
Speaker 3 (18:18):
Answer They'll have an AI that will reproduce her
voice with any song you can name.
Oh, I know.
Speaker 4 (18:24):
Yeah, I can do that for sure.
Deep fakes are happening allover the place, right right, and
that's part of the challenge.
Now, tonight is not aboutdissing AI, but about raising
some questions and issues.
You know, I come from auniversity setting and I know
that university professors allover the country, in fact all
over the world, are now reallyconcerned about what's happening
(18:47):
, because university studentsare letting AI do their work for
them.
They are not writing theirpapers, they are not reading the
textbooks, they are havingthose summarized by AI in some
ways, but professors are doingthe same thing.
(19:08):
The professors are getting AIto grade papers.
Speaker 8 (19:12):
The professors are getting and so this is what's
happening.
Do you know what the answer is?
Speaker 4 (19:17):
Well, tell me.
Speaker 8 (19:18):
The answer is oral exams.
Speaker 4 (19:21):
Well, that is.
Speaker 8 (19:23):
That is the answer.
Speaker 4 (19:24):
Yeah, but there are some universities that I can
think of, ivy Leagueuniversities that would say
that's harassment.
Speaker 8 (19:35):
Harassment.
The question, the real issue isbecause, you sit in front of a
professor without notes.
Yes, you have to understandwhat you're talking about, but
it was still written by AI.
No, but it doesn't matter whatyou write, you have to be able
(19:55):
to see.
When you have an oral exam, youhave to explain and the
professor is able to, not an AIpiece of paper, that's right.
The professor is free to askyou to explain any detail and if
you just presented it, Now,what is your source for X, y and
Z?
Speaker 4 (20:14):
Now I may know where that source came from but.
If you don't know the source,if you don't know the person
that wrote the article or theperson who wrote the book, let's
say then that's yeah.
Speaker 8 (20:25):
And you can't, so it can crash and burn.
Speaker 4 (20:27):
But if you have a class of 300 people, how long is
it going to take to do oralexams for 300?
Speaker 8 (20:33):
people.
I agree, I agree.
Speaker 4 (20:34):
I mean it's a big mess.
Speaker 8 (20:37):
Oh, here's an answer to that.
Okay, the answer to that is youbuild about seven or eight or
ten little rooms with computersand then the professor asks each
one of those people goingthrough a microphone to answer
this question.
Okay, all they have to do, theyhave a computer, not a computer
(21:00):
, or they have a typewriter orsomething, a microphone, a
microphone, or do they have atypewriter or something, or a
microphone?
They have to answer, but Iwould answer.
They would answer them, butthey couldn't have anything else
on their person.
They would have to answer.
Speaker 3 (21:12):
Yeah, and you're going to get an AI to grade it
all.
Speaker 4 (21:16):
Yeah, okay, that's great.
Well, I mean, these are justsome of the many, many problems.
Yeah, rudy, go ahead.
I'm sorry, go ahead.
Speaker 5 (21:25):
Well, I was going to give an example of what happened
to me.
So, for my master's the finalwe had to prepare for over 30
questions, and I used AI to helpme prepare for the 30 questions
, but the final was only fourquestions and I had to sit in
(21:46):
front of a professor and hewould ask me these questions.
Um so, so I used it to help mestudy, but it didn't take away
from from me having to transmitthis information to another
person in a coherent way.
So that's kind of exactly how wedid it at St Thomas for the
(22:10):
Masters in Theology.
Speaker 4 (22:12):
It's actually kind of nerve-wracking yeah it's tough.
It's tough to do that.
Here's the challenge with AI.
One of the many challenges isAI is only good as it sources.
A lot of the times it goes outonto the internet to grab stuff,
and a lot of what it grabs isnot very good and wrong, because
(22:34):
not everything on the internetis true.
Speaker 3 (22:37):
Did you know that Blasphemy?
How can?
Speaker 4 (22:39):
you say that, alright , we've got to go to it.
Is that what you're telling me?
Speaker 8 (22:42):
No, you're pointing to heaven.
I'm telling her to turn up thevolume.
Speaker 4 (22:47):
Oh, I thought you were pointing to heaven, because
you're saying I'm going, that'snot what you were saying.
Speaker 3 (22:52):
No, he's saying we're number one on the air.
Speaker 4 (22:54):
Oh, is that what he's saying no, we have a few
minutes.
Okay, but it is.
It's a huge challenge today inthe university environment.
Now, part of the problem isthis you ask students from any
university why are you going tocollege?
Why are you going to college?
Well, I'm going to get a job.
Get a job.
And even college marketingprograms say, yeah, we'll help
(23:18):
you get a job, we're preparingyou for your future work, that
kind of stuff.
All of which is nothing totallywrong with that.
But guess what?
Ai can prepare you for almostany job in the future that a
college or university not avo-tech school, but a college or
a university is preparing youfor.
Speaker 3 (23:40):
Wait a minute.
How does AI teach you tocritique, to criticize, to
challenge?
Speaker 4 (23:46):
That's no longer a part of the problem.
That's no longer what theythink a university's for.
Oh there we go Nobody well, fewpeople today go to the
university to say teach me tocritique, teach me to think,
teach me to analyze, teach me toseek truth, all of which used
(24:09):
to be what a university was allabout.
Speaker 8 (24:12):
Well, you're going to have to.
You're going to have to change.
The universities are going tohave to change.
I don't think this is work.
I can't hear myself.
Speaker 4 (24:20):
I hear you Because I don't hear myself.
That's probably a good thing,father Mario, excuse me.
Probably a good thing, I'm justkidding.
Speaker 8 (24:35):
This is 1070 KNTH.
Here with Rudy, with Stuart andFather Mario alone, We'll be
right back.
Speaker 9 (24:45):
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Oh yeah, Is there another in your bank?
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The Answer.
Speaker 4 (27:32):
Hey, tonight we're talking about artificial
intelligence and we're talkingabout some of the challenges
associated with that.
Father Mario, earlier today Iknow you got a chance to read
some things that the new Popehas been saying to the College
of Cardinals, and maybe otherplaces as well about AI.
Speaker 8 (27:53):
Well, I don't think that Pope Leo was saying
anything that hasn't been saidin other places, but it's a
whole issue of it sounding thealarm, because you've got to
remember that the only thingthat the Catholic Church has is
some kind of moral weight and,second of all, a big pulpit to
(28:14):
speak to the world.
And so he was talking about thedehumanization because he chose
Pope Leo, chose his name.
And he was talking about thisbecause Leo XIII, which was in
the late 19th century, chose hisname.
(28:37):
I mean, he was the one whowrote an encyclical when the
Industrial Revolution wastotally messing up.
You know, people's farmers weregoing out of business and
different people who made thingsby hand were going out of
business because machinery wasreplacing them all.
(28:57):
Everybody was moving into thecity.
That's right, people weremoving into the city.
So he wrote Leo XIII, not XIVwrote an encyclical which is a
letter to the world on therespect for human labor and the
whole notion of not dehumanizingand treating people justly.
(29:19):
And what Pope Leo XIV is talkingabout is trying to be a
conscience to the world andsaying let's not let just
pragmatism.
You know what can we do?
Because we can do it and justforget about the effects that
this is having on people, and sowe need to move carefully,
(29:40):
moving into the future, to seethe impact that it's having on
people and allow the system tobegin to adjust to it.
He's not saying no, don't do it.
He's just saying do it with theconscience of the individual
that it may be affecting and sothat we can do it in a way that
(30:01):
minimizes any kind of damage.
Speaker 4 (30:04):
Yeah, I don't think anybody's saying don't do it at
this point, because there aresome amazing possibilities that
are coming about through.
Just one medical example isthat if you go and you have a CT
scan to a hospital and let'ssay you're having some issues,
there can be a million CT scansin the database that is being
(30:29):
appealed to, along with allthese doctors and pathologists'
explanations and such, and AIcan go through that very quickly
, yes, and it can view all ofthose it can view.
Say, this X-ray is the mostlike, or the X-ray this CT scan
is the most like this one.
Therefore, we think thediagnosis would be this.
(30:51):
Therefore, you know this wouldbe the treatment schedule, that
kind of thing.
Now, that never gets to you.
That goes to a doctor, Right,and a doctor looks at it the
same way and he or she makes adetermination.
Yeah, I agree that this isexactly.
Very seldom is thereinformation that's not included
(31:14):
at that point.
So it's speeding up thepossibility of diagnosis on very
complicated kinds of conditions.
That's an amazing positivething.
What Stuart's shaking his headlike?
He is Rudy, go ahead.
Go ahead, Rudy.
Yeah.
Speaker 5 (31:29):
Well, I was going to say it also expands to machinery
and hardware, so, for example,stress fractures on frames and
pulling machines.
Something that's getting used alot is you grab these images
and you're able to code themwith AI tools, if you will, with
(31:50):
much more detail.
In the construction field,microfissures that start forming
in, let's say, columns or, inparticular, contention walls you
can detect them earlier andthus preventing a collapse of a
building, if you will.
Speaker 4 (32:12):
So there's a lot of application that is for good
lots and lots of good and yeahso now the question is let's,
let's, let's kind of turn thecorner.
What kinds of of of concernsshould we have for what pope leo
was saying about the kinds ofjobs in the future, the kinds of
(32:33):
people who are not going tohave work in the future?
Stuart was talking earlierabout the Wall-E movie, about
how everybody sits around onthis kind of luxury spacecraft.
Speaker 3 (32:45):
The space liner.
It gets bigger and bigger andfatter and fatter.
The pictures on the wall of thecaptain of the ship, the
captain's each generation, getsfatter and fatter and lazier and
lazier, because the machineryis doing every single thing for
them.
There's no exercise, they sitin a chair and it takes them to
a different part of the ship.
They don't do anything.
Speaker 4 (33:07):
They don't even walk.
They don't even walk.
I mean, they get rolled intobed Right pretty much.
It was really a pretty funnykind of thing.
Speaker 3 (33:16):
But it's also a warning.
I think that's a warning to us,yeah, and could be a warning
about it could be applied to AI?
Yeah, because if it doeseverything for us, you know
brains need exercise too, and ifit does it for us, where's the
exercise for their brain?
Speaker 4 (33:33):
the new york crossword times.
Crossword right.
This one is right.
Speaker 8 (33:39):
No, father mario, as you think about jobs that you
you hear, about things that youmaybe have read over the past
few years, see, I'm not I'm notas concerned, and here's the
reason why because there aregoing to be jobs, and I think
that the Holy Father was notsaying that society can't change
(34:00):
We've experienced tons ofchange but that we do it
consciously and not justhaphazardly.
I mean, we have the whole thingalso going on in terms of
creating biological entitiesthat are mixed you know, animals
(34:22):
that can be mixed or protest tobabies, or all kinds of
different things that can bedone with science, and we've
been discussing that and we'vebeen discussing that and
ultimately, society is going toI think it's going to
self-correct, because I thinkthe technologies somebody will
come up with a technology to seeif this is authentic or not.
(34:48):
Companies will spring up totest stuff to see if it's AI
produced or not You're talkingabout okay AI, up to test stuff
to see if it's AI produced ornot.
Speaker 4 (34:57):
You're talking about okay AI, and that's even true
now in the university.
There are utilities that havebeen developed that can read an
AI paper, a generated paper, andsay yes, 92% of this paper has
been generated by.
Speaker 8 (35:10):
AI.
I think AI will turn on itself.
Speaker 4 (35:14):
It can.
What does that mean?
Speaker 8 (35:16):
It means that, remember, ai is human produced.
You've seen Terminator?
Right, I'm thinking aboutTerminator with all this
conversation.
No, no, but imagine somestudent faking a paper with AI.
Well, somebody's going todevelop a program that will tag
(35:37):
that AI, will tag another AI,and see what I'm saying.
Speaker 3 (35:44):
I see what you're saying, but let me ask you both
something, and this is for youtoo.
Okay, but ai can produce papers, but ai can also produce
sermons.
So if, when you were the likethe head of the who gets to be a
(36:06):
priest for the diocese, okay,would you be upset if a
potential priest said you know,my sermons are all AI produced
or something?
Would it affect congregations?
Would a congregation be upsetif they found out that the
minister or priest or rabbi dida sermon that was AI produced
(36:29):
and said it from their own headand heart?
Speaker 8 (36:31):
The answer is no, but here's from it.
For us as Catholics, okay.
For us as Catholics, theshortest you would be able to
get through our seminary is sixto seven years.
Speaker 3 (36:45):
Yes.
Speaker 8 (36:46):
And in those six or seven years, if you're using AI
for everything you're going tocome across.
You're going to be great inturning in a paper, but then
you're going to be in adiscussion group and you're
going to be an idiot.
Speaker 4 (36:58):
Okay, let's say hold on.
Speaker 3 (36:59):
But that's when they go to seminary.
What about when they're in thechurch?
What?
Speaker 8 (37:03):
do you mean?
Speaker 3 (37:03):
in the church.
I mean, they're on the pulpit,they're already an ordained
priest and if they create asermon that's AI produced,
Perfect.
Speaker 8 (37:12):
I would rather have a priest who cannot speak, who
can't preach, create an AIsermon.
That was really good.
The object is not that thepriest be any that be able the
object is that the message isgood for the congregation.
Speaker 5 (37:37):
That's how I look at it too, I think I think, all
right, rudy, what do you think?
I think, at the end of the day,and what the Holy Father kind
of speaks about is what,fundamentally, with all things
like the splitting of an atom,right, we could have created
fission and fusion energy.
Right, we could create morenuclear reactors One of the
(37:59):
things that most is the greatest, how would you say the greatest
indicator of a civilizationsort of moving out of poverty,
is the access to energy, is theaccess to energy, and so we're
able to create vast amounts ofenergy with it.
But we're also able to creategigantic bombs to kill ourselves
(38:23):
1,500 times over, right, and soI think it kind of applies the
same to AI.
I mean, they kind of let loosechat GPT, if you will, and the
first thing that it did is itrecreated another chat GPT, so
it sort of mimics the.
Speaker 4 (38:42):
You know I hate to say this, but all three of you
are wrong.
How?
You're totally wrong.
How I mean?
Look, it is a human beingwrestling with the text of
Scripture.
That is what constitutes mostof our sermons.
Yes, Okay, it's a human being.
Paul says we have this truth inearthen vessels.
(39:05):
Not, we have this truth in AI,right?
Speaker 3 (39:11):
In steel and copper.
Speaker 4 (39:21):
And it is these earthen vessels that are frail,
that will break one day.
That are the instruments ofGod's mission.
I don't want Jesus.
I would not have wanted Jesusshowing up and saying let me go
get an AI sermon and preach it.
All right.
Sermon on the Mount.
Ai produced.
Speaker 3 (39:32):
You are all wrong.
Speaker 4 (39:34):
I want a human being who's wrestled with the text and
speaking from the heart.
And speaking from the heartBecause AI can't do that.
Speaker 8 (39:42):
You're wrong.
You're wrong, you are wrong.
Why can't it?
I will talk.
I will talk when we get back.
Speaker 9 (39:50):
Oh, good point, it's 1070-CAN-TH and we'll be right
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The answer.
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Speaker 8 (42:43):
Okay, well, welcome back.
Now.
The reason I said you're wrongfor this is because I think
you're presuming a purely AIsermon or a purely individual
human sermon.
What I would say is anybody whois worth their salt.
(43:04):
Now, you're always going tohave the tendency to be able to
do either way, but most people,like I, would ask AI to give me
answers to some issues that I'mdealing with in a sermon, and so
, partially, the sermon iscoming from AI, but it's going
to be filtered through mydecisions, my whatever I think
(43:28):
is important, whatever isn'timportant.
But we get ideas from all kindsof places.
You know I cannot tell you whatideas came from where every
time I speak.
Speaker 3 (43:42):
And do you really think that your congregation
wants to know where it came from?
Speaker 8 (43:46):
They don't want to know Exactly.
That's what I mean.
That's what I callcredentialism is that we are so
obsessed with the ownership ofour ideas, as if that we have.
It becomes horribly wrong touse an idea without giving
proper credit I will grant youthat.
Speaker 4 (44:06):
my concern was when you guys were saying let a I do
the sermon, just kind of ask thequestion, punch a button, print
it off and go up in the pulpit,like that.
That's I'm opposed to, but Iwould not be imposed to the idea
that said okay, I'm havingtrouble kind of understanding
kind of the nature of this wholeproblem.
(44:26):
So can you run me a scan offour different opinions?
Speaker 8 (44:31):
about this.
It would be the same thing asasking a professor.
Could you please re-explainthat to me?
Speaker 4 (44:36):
Exactly, and it'd be the same thing as trying to find
the answer in a published book.
If you had a published bookaround, it's called research.
Why is it different?
Speaker 3 (44:47):
Asking AI to find the information, put it together
and then edit and go over it andchange it and add and subtract.
Speaker 4 (44:53):
To be research, you've got to go into a library,
sit among dusty books and takeyour Claritin among the dust and
just read the book.
And it takes you an hour to getthrough a page.
Speaker 3 (45:08):
And in the age of Google you have to do that.
Speaker 8 (45:11):
He's being cynical.
Speaker 7 (45:13):
I'm being cynical, of course, oh, okay.
Speaker 8 (45:15):
Yes, I'm not being serious to it, of course no, I
mean you can't tell from davidafter all these years that we've
known each other because he'sso serious all the time he's a
professor yes, as if allprofessors are serious all of
the time.
Speaker 3 (45:29):
Yes, yes, let's get an ai professor, see what they
do.
Yeah, yeah.
Speaker 8 (45:34):
And, by the way, in doing my research on YouTube, I
looked at a couple of programs.
I mean videos.
One of the videos was showingan AI Pope, leo, giving a talk
that he had never given.
Speaker 3 (45:54):
Did it really look like him?
Yeah, oh yeah.
Speaker 4 (45:57):
They use legitimate footage and they're able to
change the movement of the mouththey're able to change the
mannerism.
Not change it, but to bring themannerisms into consistency
with the real person.
Use their voice, change tointernal.
It's amazing.
Speaker 8 (46:17):
They can have actors who are dead be leads in movies.
Speaker 3 (46:23):
But they don't look like.
Speaker 8 (46:24):
They do look like.
Speaker 4 (46:25):
They look exactly like them.
Speaker 8 (46:26):
That's what they're supposed to look like.
Yes, yes.
Speaker 4 (46:28):
They look like they did in 1967 because they have
that film together.
Yeah, so you have to start withsomething.
You can't just make it up.
Speaker 3 (46:38):
You've got to start with a film from that period,
because only God starts withnothing and creates from nothing
.
There you go, there you go.
Speaker 4 (46:46):
Stuart.
So, rudy, engineering.
Let's talk about engineeringreally quick, because we're just
about out of time here.
Talk about engineering reallyquick because we're just about
out of time here.
Um, how many engineers aregoing to lose their uh ability
to practice engineering over thenext 50 years, you think,
because of I think.
Speaker 5 (47:05):
I think I think only, as with all things uh, david,
the, the lazy ones, because withengineering and with philosophy
too, I mean, and just as a kindof a fundamental human
initiative, if you will, Ialways want to keep growing and
(47:29):
knowing.
So I'm always seeking,especially as a business owner,
right?
So I'm always thinking,especially as a business owner,
right, you're always wanting tohappen, is it's going to become
(47:55):
more specialized and the peoplethat get more specialized are
going to take those top-tierjobs, if you will.
I mean, I'm sure maybe therewill be some downsizing.
It'll take 10, 15 years.
Speaker 4 (48:09):
Well, if Stuart has his way, there'll be a lot of
rabbis out of work, because allhe needs is AI to do all these
sermons and such.
Speaker 3 (48:19):
Right to do baby namings and everything else.
Speaker 4 (48:22):
Yeah, exactly, exactly.
So I mean there are some jobsthat only a human being could do
.
Speaker 3 (48:32):
it seems like human being could do.
It seems like, david, you know,20, 30 years ago I remember
they had these programs thatwould act like a council, like a
psychologist, and they wouldrespond.
You would type in something andit would say well, how does
that make you feel?
Speaker 4 (48:49):
So this was typed in.
You type it in and it was alltyped back.
Speaker 3 (48:53):
Right.
But people would say, who tookpart in this program that it
really helped them, that theyreally felt like they were being
helped psychologically by theseprograms.
Who were like, if they use thisword, ask this, if they use
that word, ask that you knowthis kind of programming Right.
But they said it felt naturaland they felt like they were
(49:15):
helped.
Speaker 4 (49:16):
Well, there are all these chatbots that are trying
to get into our brains.
You know, today earlier, I gota text message.
I said hey, I'm looking forwardto seeing you tonight at six,
something like that, and I haveno clue who it was.
Now.
If I had responded, I didn't,but if I'd responded to that, I
would be connected to a chat botand that chat bot would be
(49:40):
learning about me and be alsolearning about conversation.
So it's very well possible thatmillions of people have been
chatting, even briefly, withpersons Scammers, they're not
scammers with persons Scammersthey're not scammers.
Speaker 3 (49:57):
They are scammers.
Speaker 4 (49:57):
They're bots.
They're not trying to getanything out of you.
What they're trying to do,they're trying to learn how to
have conversations that arehuman-like conversations.
That's not throwing up a bunchof mumbledy gook or something.
The ones you're talking about,I'm sure, but there are also
horrible uses of AI out therethat are only for the purpose of
(50:20):
scamming people, absolutelyabsolutely yeah, You've got to
be careful, but I'm just sayingthat they have been learning
from us how to speak.
You know, I go to thisdealership, car dealership and
all of a sudden a little chatbotjumps up, say I'm Michelle, how
can I help you?
(50:40):
And I start chatting with, sayI'm looking forward to doing to,
you know, having my car in forservice or whatever.
Well, what can we do to help?
What time do you want to come?
You know, and so it's learning.
It's not intelligent in thesame way that there is conscious
intelligence.
It's responding in a particularway.
It has been programmed, In asense programmed to respond.
Speaker 8 (51:03):
It's mimicking human output.
Speaker 4 (51:05):
It is, it is yeah, and it can do it at an amazing
pace.
Right, it can do it so muchmore efficiently in some ways
than we can do.
Speaker 3 (51:14):
That means some secretary and some auto dealer
lost their job to a chatbot.
Speaker 4 (51:19):
Yeah, exactly, and that's part of the Pope's
concern, I think, is that mostof the people that are going to
get hurt by this will not bewhite-collar professional people
generally, collar professionalpeople generally.
It's going to be people who areum in in middle range jobs, you
(51:40):
know who?
Speaker 3 (51:41):
maybe it's their first job or second job, but,
boy, it goes away becausethere's the chat bot that can do
it instead you know they usedto say that whenever there was a
technology, people would losetheir jobs because of the new
technology, but new jobs wouldcome in their place.
So if we have AI doing thingsand then AI correcting AI, will
(52:02):
there be new jobs for people totake?
Speaker 4 (52:04):
In 50 years from now, I won't be around, none of us.
Rudy might be around, okay, butyou don't think he'll be around
.
Okay, 30 years.
But there'll be jobs getphysically fit get physically
fit that's physical therapy um,there'll be jobs that we have
never imagined taking place in30, 40 years.
(52:28):
A lot of that's because of thepace of technology when we think
about 30 to 40 years from now,jobs that we could never imagine
will be happening, and theymight be good-paying jobs, who
knows?
Speaker 3 (52:42):
And some of the jobs we absolutely rely on now will
go the way of the buggy whipmanufacturing companies.
Speaker 4 (52:50):
Yep, yep, exactly, all right, very quickly.
How important is it for humanbeings, made in the image and
likeness of God, to work Stuart?
Speaker 3 (53:00):
being I might get flack for this, but I think
mainly males, but females toohave need work, needs to do
something productive and andthat's how they find meaning,
(53:24):
you know, in, in, in, in whatthey do every day.
Speaker 8 (53:28):
Paul mario oh, I I think in human.
The human being, made in theimage and likeness of God, has
to be in some way creative.
You need to create, you need todo something meaningful, rudy.
Speaker 4 (53:42):
So it could be creating music.
Speaker 8 (53:43):
It could be art, it could be yeah, rudy.
Speaker 5 (53:48):
I think as long as it continues to serve that
creative endeavor of humanity, Ithink we're going to be okay
with AI.
Speaker 8 (53:57):
Yeah.
Speaker 5 (53:57):
It's when we start playing our vices with
pornography and addiction andother things like that that I
think it's going to really turnugly.
Speaker 3 (54:05):
Go see the Terminator again.
Speaker 8 (54:08):
Dime it, okay.
Well, who's up next week?
I am Okay, stuart is ourstudent.
Rabbi, remember to send theshow.
Okay, well, who's up next week?
I am Okay, stuart is our Rabbi.
Rabbi, remember to send theshow.
What did?
Speaker 3 (54:20):
you say I don't know.
Say it again.
Speaker 5 (54:24):
Remember to send the show that Miranda sends the show
.
Speaker 3 (54:27):
Oh, okay, absolutely.
Speaker 8 (54:29):
Okay, this is 1070 KNTH.
You've been listening to A Showof Faith.
Please, during this week, we'regoing to keep you in our
prayers.
You please keep all of us inyours.
Speaker 9 (54:40):
Find us at am1070theanswercom.
Download our apps.
Stream us 24-7.
K-n-t-h and K277-D-E-F-MHouston.
There's something happening here, what it is ain't
exactly clear.
There's a man with a gun overthere Telling me I got to beware
.
I think it's time we stop.
(00:23):
Children, what's that sound?
Everybody, look what's goingdown.
There's battle lines beingdrawn.
Nobody's right if everybody'swrong.
(00:45):
Nobody's right if everybody'swrong.
Young people speak in theirminds Are getting so much
resistance from behind Everytime we stop.
Hey, what's that sound?
Everybody, look what's goingdown.
Speaker 3 (01:05):
Welcome to A Show of Faith where professor, priest,
millennial and rabbi discusstheology, philosophy, morality,
ethics and anything of interestin religion.
If you have any response to ourtopics or any comments
regarding what we say, we'd loveto hear from you.
Email us at ashowoffaith1070 atgmailcom.
Ashowoffaith1070 at gmailcom.
(01:28):
You can hear our shows againand again by listening.
Pretty much everywhere podcastsare heard.
Our priest is Fr Mario Arroyo,retired pastor of St Cyril of
Alexandria in the 10,000 blockof Westheimer.
Hello, our professor is DavidCapes, protestant minister,
director of academic programmingfor the Lanier Theological
Library.
Speaker 4 (01:46):
Great to be here.
Speaker 3 (01:47):
Rudy Kong is our millennial.
He's a systems engineer.
Master's degree in theologyfrom the University of St Thomas
.
Speaker 5 (01:54):
Howdy, howdy.
Speaker 3 (01:55):
I'm Stuart Federo, retired rabbi of Congregation
Sha'ar HaShalom, the Clear Lakearea of Houston, texas.
Miranda is our board operatorand she helps us sound fantastic
.
Speaker 4 (02:05):
All right, miranda, go, go, go, david, you're up,
I'm up.
Tonight we're going to betalking about artificial
intelligence, ai and some of theissues associated with it.
You know, back in the lastmillennium, that's the last
thousand years, so it was 1000AD or CE, if you prefer, to 2000
(02:33):
.
There were several bigrevolutions.
One was the printing revolution.
Up until 1450, all books hadbeen created by hand.
Every letter and every wordthat was written had to be
written by hand.
It was a slow, laborious,expensive proposition.
(02:56):
Then, when the printing pressbecame a reality, it was
possible to make multiple books,many, many books, fast, fast
and faster.
That changed fundamentally the,the way people think and their
access to knowledge.
(03:17):
Well, back in the 19th century,there was a thing called the
industrial revolution.
It wasn't so much aboutlearning, it was about how
things were made andmanufactured and came to our
homes, let's say, and thatfundamentally changed economics
as well.
Now that came with all sorts ofups and downs and hard, hard
(03:39):
times, because a lot of peoplewere taken advantage of in that
time.
Well, in the latter part of the20th century, we had a thing
called the digital revolution.
And the digital revolution cameabout oh, between the 70s, I
guess, or maybe between the 50sand about the year 2000, when
(04:00):
the millennium came to an end.
And when that millennium cameto an end, the world was
fundamentally different, becauseof computers, because of the
internet.
And now, after three revolutionsin the last millennium, we're
at the very beginning of thisthird millennium common era.
(04:22):
And guess what?
We already have a revolution.
It is the AI revolution,artificial intelligence
revolution, and it is changing alot.
It's changing everything and itwill change everything.
It'll change learning, it'llchange universities, it'll
(04:44):
change economics, it'll changeuniversities it'll change
economics.
It'll change entertainmentemployment, all different
aspects of that.
So tonight I thought what wewould do is we would kick around
a little bit some ideas thatare circulating around about AI,
artificial intelligence, andwhat it is doing.
(05:04):
Now, Stuart, let me start offwith this have you used
artificial intelligence yet?
Speaker 3 (05:10):
David, I don't know if I have the intelligence to
use the artificial intelligence.
When I first tried a coupleyears ago I guess, when chat GPT
yeah, I don't know what I did,but I downloaded a virus or
something with it, because everytime I tried to get on the chat
(05:31):
GPT it gave me a totallydifferent website and tried to,
so I just stayed away from it.
I really haven't done AI.
Speaker 4 (05:39):
All right.
Well, let me go to ourmillennial down in.
Where are you these days, Rudy?
Speaker 5 (05:47):
I am in Guatemala.
Speaker 4 (05:48):
In Guatemala.
All right, home you are ayounger man, guatemalan, he's a
kid.
He's a child, yes, and you'reprobably the only person here
who has Bitcoin in our group.
I do, yeah, okay, well, I, Imean, I have no idea, I don't
(06:10):
even think I, I don't have anyclue what.
That is all right, so so, rudy,have you used artificial
intelligence?
Speaker 5 (06:15):
I use it every single day okay, tell me about every
single day how I use it.
So I I'm a systems engineer bytrade, okay, and so what that
means is early on in my careeras a budding engineer, I dealt a
lot with software and howsoftware can be molded, applied,
(06:42):
configured to help controllet's call it production, if you
will.
So I worked a lot with what'scalled ERPs Enterprise Resource
Planning softwares which helpyou control, let's say,
purchasing, accounting,invoicing, quality, yada, yada,
(07:04):
yada.
So today, what I've done isI've built using AI, because it
also speeds up my coding.
Now, to me, it helps me a lotbecause I already know and have
some good fundamentals, I wouldsay, on how hardware and systems
(07:25):
work together.
So I use key prompts to speedup, if you will, my coding to
build tools.
So, for example, I do consultingwork right now and I'm working
at a construction firm and we'rebuilding a residential building
, 24 floors, and there's a lotof purchasing.
(07:49):
There's a lot of purchasingthat happens, there's a lot of
production that happens, and soI've created essentially an
online tool, which isessentially a website you can go
to, that's linked to ourproduction software, our ERP,
and what it's doing every singleday is it pulls purchasing data
(08:11):
, inventory data, productiondata, and we review it every
morning with our team to makesure that we have the right
hardware, that we're purchasingthe right things.
It helps me look at Go ahead.
Speaker 3 (08:24):
Robert, the right things, um, but it helps me look
at go ahead.
Well, excuse me, but is that?
That's a program that doesthese things for you?
But is it, for lack of a betterterm, artificially intelligent?
Is it?
Is it thinking or is it justdoing the program it's told to
do?
Speaker 5 (08:43):
that's.
That's a good point and and Ithink maybe that's something
that we should talk about toobecause what we call today
artificial intelligence isn'treally artificially intelligent.
It relies on a lot of inputfrom organic intelligence, if
you will, to kind of guide it tothat.
(09:05):
Now there are certain thingsthat I've developed too.
For example, our sales pipeline, because we sell these
apartments.
I created a chatbot that youcan talk to, essentially, and it
gives you particular detailsabout apartments, what's going
on, and this all happens throughWhatsApp.
But I wouldn't call itessentially artificial
(09:27):
intelligence.
It's just sort of a set ofprompts, if you will, figured
around.
Some machine learning, thatkind of guides it.
But, to answer your question,tools like ChatGPT, like Cloudy,
like Sona, those tools I haveconfigured in such a way that I
(09:53):
use to kind of help me in mydaily tasks.
Here's another example I builtanother tool that patches into
my email and I run this everyMonday morning and every Monday
morning it goes through myemails and it gives me a summary
of emails that have gone in andcome out that haven't been
followed up on.
(10:13):
So it kind of emails me backthis executive summary.
Now I wouldn't say it's doinganything.
How do you say artificiallyintelligent, because it relies
on a lot of my prompts.
So those are kind of a few ofthe ways that I use Father Mario
, what about you?
Speaker 4 (10:33):
Are you using artificial intelligence at all?
Speaker 8 (10:36):
Well, you know, I agree with Rudy in terms of how
you define artificialintelligence.
But let me give you an examplehow you define artificial
intelligence.
But let me give you an example.
Just right now I walked intothe studio here and David asked
me did you read the article?
(10:56):
And I said no, I didn't knowthat, I didn't see it, and so I
was on my iPhone and, while wewere getting ready to start, I
copied the article and I put itinto a program called Recall
that's on my iPhone, and it gaveme a semi-brief outline of the
(11:21):
article.
Speaker 4 (11:23):
So you could read the outline of the article.
So you could read the outlineof the article.
Speaker 8 (11:25):
Yeah, but I still thought it was too long for me
to read before I was on the air,and so I said to the artificial
intelligence please summarizeeven this.
And it gave me a summary whichyou can see right here.
This is the entire summary ofthe whole article.
So it's about 600 words, yeahand so, while you guys were
(11:48):
talking, I was able to read it,and so you got it, you got a
sense of it, yeah, so um, seefor me, um, I I learn a lot on
on youtube because youtube has alot of lectures, all kinds of
very interesting stuff, but Idon't have the time to spend an
(12:11):
hour and a half reading it, so Iput these videos which don't
tell all the words to them.
I mean there's no line.
I mean not line by the line,and so I put it into an AI thing
called again, it's calledRecall and it gives me an
outline of everything that issaid.
(12:31):
It gives you a written outlineof the spoken word.
Yes, that's right, it gives mea written outline of the spoken
word and then, if I still toolong, I take that outline and I
ask another program to summarizeit for me and it gives me a
very good summary of what itsays.
Speaker 4 (12:50):
So how many people do you think you could employ to
do all that for you?
I couldn't, you couldn't, Icouldn't, okay, but let me ask,
rudy, because you're in abusiness, you're getting
consulting money, which is bigmoney.
I know that I'm just kiddingabout that, but you're getting
consulting money, which is bigmoney.
I know that, uh, I'm justkidding by that, uh, but you're
getting paid.
How many could you have peopledo what this ai is doing?
(13:13):
Are people losing their jobs inguatemala because, because of
this technology?
Speaker 5 (13:22):
uh I?
The short answer is yes, butthe more nuanced answer is the
people that know about it arelearning about it and are
becoming more efficient to doingmore things in their tasks.
So, because of AI, because ofthese types of tools it's called
, and because I don't think it'skind of fair to call it like a
(13:45):
true AI but I know I mean we cancontinue using that term it's
okay.
I think we kind of get wherethat's going, right.
Right, I'm able to expand theamount of work that I'm able to
do within, let's say, an hour.
So I'm probably three or fouror five times way more
(14:05):
productive, um, in my analyticsand building reports and analyze
, I mean just all sorts ofdifferent, and I've been and
I've been able to build toolsspecifically that I probably
would have had to hire aprogrammer to do.
So I have essentially in-housedwhat would have cost me money
(14:29):
to do but you know.
Speaker 8 (14:32):
We need to go to a break.
Speaker 5 (14:32):
Yeah, I mean it's definitely.
Speaker 8 (14:34):
We need to go to a break now.
Okay, yep, this is 1070 KMTHand we will be right back.
Speaker 9 (14:43):
AM1070, the answer.
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Speaker 9 (15:50):
Don't miss cutting-edge coverage of daily
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Everything I'm seeing from thepublic is that public does not
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Speaker 6 (16:45):
Johnny Angel, johnny Angel, johnny Angel, you're an
angel to me.
Speaker 4 (16:55):
Ai cannot do this, I know.
Speaker 1 (16:57):
Johnny Angel.
Speaker 3 (16:59):
Wait five years or less.
Speaker 4 (17:02):
Not stir his heart the way that Karen Carpenter
stirs his heart.
Speaker 1 (17:07):
He's got something that I can't resist, but he
doesn't even know that I exist.
Speaker 6 (17:34):
I'm in heaven.
I get carried away.
I dream of him and me and howit's gonna be.
Speaker 1 (17:43):
All the fellas call me up for a date, but I just sit
and wait.
I'd rather concentrate onjohnny angel, because I love him
and I pray that someday he'lllove me, and together we will
see how lovely heaven will be,and together we will see how
(18:13):
lovely heaven will be Welcomeback to A Show of Faith on AM
1070.
Speaker 3 (18:18):
Answer They'll have an AI that will reproduce her
voice with any song you can name.
Oh, I know.
Speaker 4 (18:24):
Yeah, I can do that for sure.
Deep fakes are happening allover the place, right right, and
that's part of the challenge.
Now, tonight is not aboutdissing AI, but about raising
some questions and issues.
You know, I come from auniversity setting and I know
that university professors allover the country, in fact all
over the world, are now reallyconcerned about what's happening
(18:47):
, because university studentsare letting AI do their work for
them.
They are not writing theirpapers, they are not reading the
textbooks, they are havingthose summarized by AI in some
ways, but professors are doingthe same thing.
(19:08):
The professors are getting AIto grade papers.
Speaker 8 (19:12):
The professors are getting and so this is what's
happening.
Do you know what the answer is?
Speaker 4 (19:17):
Well, tell me.
Speaker 8 (19:18):
The answer is oral exams.
Speaker 4 (19:21):
Well, that is.
Speaker 8 (19:23):
That is the answer.
Speaker 4 (19:24):
Yeah, but there are some universities that I can
think of, ivy Leagueuniversities that would say
that's harassment.
Speaker 8 (19:35):
Harassment.
The question, the real issue isbecause, you sit in front of a
professor without notes.
Yes, you have to understandwhat you're talking about, but
it was still written by AI.
No, but it doesn't matter whatyou write, you have to be able
(19:55):
to see.
When you have an oral exam, youhave to explain and the
professor is able to, not an AIpiece of paper, that's right.
The professor is free to askyou to explain any detail and if
you just presented it, Now,what is your source for X, y and
Z?
Speaker 4 (20:14):
Now I may know where that source came from but.
If you don't know the source,if you don't know the person
that wrote the article or theperson who wrote the book, let's
say then that's yeah.
Speaker 8 (20:25):
And you can't, so it can crash and burn.
Speaker 4 (20:27):
But if you have a class of 300 people, how long is
it going to take to do oralexams for 300?
Speaker 8 (20:33):
people.
I agree, I agree.
Speaker 4 (20:34):
I mean it's a big mess.
Speaker 8 (20:37):
Oh, here's an answer to that.
Okay, the answer to that is youbuild about seven or eight or
ten little rooms with computersand then the professor asks each
one of those people goingthrough a microphone to answer
this question.
Okay, all they have to do, theyhave a computer, not a computer
(21:00):
, or they have a typewriter orsomething, a microphone, a
microphone, or do they have atypewriter or something, or a
microphone?
They have to answer, but Iwould answer.
They would answer them, butthey couldn't have anything else
on their person.
They would have to answer.
Speaker 3 (21:12):
Yeah, and you're going to get an AI to grade it
all.
Speaker 4 (21:16):
Yeah, okay, that's great.
Well, I mean, these are justsome of the many, many problems.
Yeah, rudy, go ahead.
I'm sorry, go ahead.
Speaker 5 (21:25):
Well, I was going to give an example of what happened
to me.
So, for my master's the finalwe had to prepare for over 30
questions, and I used AI to helpme prepare for the 30 questions
, but the final was only fourquestions and I had to sit in
(21:46):
front of a professor and hewould ask me these questions.
Um so, so I used it to help mestudy, but it didn't take away
from from me having to transmitthis information to another
person in a coherent way.
So that's kind of exactly how wedid it at St Thomas for the
(22:10):
Masters in Theology.
Speaker 4 (22:12):
It's actually kind of nerve-wracking yeah it's tough.
It's tough to do that.
Here's the challenge with AI.
One of the many challenges isAI is only good as it sources.
A lot of the times it goes outonto the internet to grab stuff,
and a lot of what it grabs isnot very good and wrong, because
(22:34):
not everything on the internetis true.
Speaker 3 (22:37):
Did you know that Blasphemy?
How can?
Speaker 4 (22:39):
you say that, alright , we've got to go to it.
Is that what you're telling me?
Speaker 8 (22:42):
No, you're pointing to heaven.
I'm telling her to turn up thevolume.
Speaker 4 (22:47):
Oh, I thought you were pointing to heaven, because
you're saying I'm going, that'snot what you were saying.
Speaker 3 (22:52):
No, he's saying we're number one on the air.
Speaker 4 (22:54):
Oh, is that what he's saying no, we have a few
minutes.
Okay, but it is.
It's a huge challenge today inthe university environment.
Now, part of the problem isthis you ask students from any
university why are you going tocollege?
Why are you going to college?
Well, I'm going to get a job.
Get a job.
And even college marketingprograms say, yeah, we'll help
(23:18):
you get a job, we're preparingyou for your future work, that
kind of stuff.
All of which is nothing totallywrong with that.
But guess what?
Ai can prepare you for almostany job in the future that a
college or university not avo-tech school, but a college or
a university is preparing youfor.
Speaker 3 (23:40):
Wait a minute.
How does AI teach you tocritique, to criticize, to
challenge?
Speaker 4 (23:46):
That's no longer a part of the problem.
That's no longer what theythink a university's for.
Oh there we go Nobody well, fewpeople today go to the
university to say teach me tocritique, teach me to think,
teach me to analyze, teach me toseek truth, all of which used
(24:09):
to be what a university was allabout.
Speaker 8 (24:12):
Well, you're going to have to.
You're going to have to change.
The universities are going tohave to change.
I don't think this is work.
I can't hear myself.
Speaker 4 (24:20):
I hear you Because I don't hear myself.
That's probably a good thing,father Mario, excuse me.
Probably a good thing, I'm justkidding.
Speaker 8 (24:35):
This is 1070 KNTH.
Here with Rudy, with Stuart andFather Mario alone, We'll be
right back.
Speaker 9 (24:45):
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Speaker 2 (25:47):
Are you alarmed by the moral decay in society?
Charlie Kirk says out of thelack of Christianity is where we
get wokeism.
Charlie will be speaking at theupcoming Culture and
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You could win anall-expense-paid trip to the
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You'll also receive free AlanJackson's 30-day devotional.
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Speaker 9 (26:12):
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The answer Wait.
Oh yeah, wait a minute, Mr.
Speaker 6 (26:50):
Postman Wait, wait, hey, hey, hey, Mr Postman, hey
Mr Postman, what can I see?
Speaker 8 (26:58):
Oh yeah, Is there another in your bank?
No, AI created the letter.
Speaker 6 (27:14):
AI took over Postman.
Look and see, is there a letter?
Speaker 3 (27:25):
a letter for me.
Welcome back to A Show of Faithon AM 1070,.
The Answer.
Speaker 4 (27:32):
Hey, tonight we're talking about artificial
intelligence and we're talkingabout some of the challenges
associated with that.
Father Mario, earlier today Iknow you got a chance to read
some things that the new Popehas been saying to the College
of Cardinals, and maybe otherplaces as well about AI.
Speaker 8 (27:53):
Well, I don't think that Pope Leo was saying
anything that hasn't been saidin other places, but it's a
whole issue of it sounding thealarm, because you've got to
remember that the only thingthat the Catholic Church has is
some kind of moral weight and,second of all, a big pulpit to
(28:14):
speak to the world.
And so he was talking about thedehumanization because he chose
Pope Leo, chose his name.
And he was talking about thisbecause Leo XIII, which was in
the late 19th century, chose hisname.
(28:37):
I mean, he was the one whowrote an encyclical when the
Industrial Revolution wastotally messing up.
You know, people's farmers weregoing out of business and
different people who made thingsby hand were going out of
business because machinery wasreplacing them all.
(28:57):
Everybody was moving into thecity.
That's right, people weremoving into the city.
So he wrote Leo XIII, not XIVwrote an encyclical which is a
letter to the world on therespect for human labor and the
whole notion of not dehumanizingand treating people justly.
(29:19):
And what Pope Leo XIV is talkingabout is trying to be a
conscience to the world andsaying let's not let just
pragmatism.
You know what can we do?
Because we can do it and justforget about the effects that
this is having on people, and sowe need to move carefully,
(29:40):
moving into the future, to seethe impact that it's having on
people and allow the system tobegin to adjust to it.
He's not saying no, don't do it.
He's just saying do it with theconscience of the individual
that it may be affecting and sothat we can do it in a way that
(30:01):
minimizes any kind of damage.
Speaker 4 (30:04):
Yeah, I don't think anybody's saying don't do it at
this point, because there aresome amazing possibilities that
are coming about through.
Just one medical example isthat if you go and you have a CT
scan to a hospital and let'ssay you're having some issues,
there can be a million CT scansin the database that is being
(30:29):
appealed to, along with allthese doctors and pathologists'
explanations and such, and AIcan go through that very quickly
, yes, and it can view all ofthose it can view.
Say, this X-ray is the mostlike, or the X-ray this CT scan
is the most like this one.
Therefore, we think thediagnosis would be this.
(30:51):
Therefore, you know this wouldbe the treatment schedule, that
kind of thing.
Now, that never gets to you.
That goes to a doctor, Right,and a doctor looks at it the
same way and he or she makes adetermination.
Yeah, I agree that this isexactly.
Very seldom is thereinformation that's not included
(31:14):
at that point.
So it's speeding up thepossibility of diagnosis on very
complicated kinds of conditions.
That's an amazing positivething.
What Stuart's shaking his headlike?
He is Rudy, go ahead.
Go ahead, Rudy.
Yeah.
Speaker 5 (31:29):
Well, I was going to say it also expands to machinery
and hardware, so, for example,stress fractures on frames and
pulling machines.
Something that's getting used alot is you grab these images
and you're able to code themwith AI tools, if you will, with
(31:50):
much more detail.
In the construction field,microfissures that start forming
in, let's say, columns or, inparticular, contention walls you
can detect them earlier andthus preventing a collapse of a
building, if you will.
Speaker 4 (32:12):
So there's a lot of application that is for good
lots and lots of good and yeahso now the question is let's,
let's, let's kind of turn thecorner.
What kinds of of of concernsshould we have for what pope leo
was saying about the kinds ofjobs in the future, the kinds of
(32:33):
people who are not going tohave work in the future?
Stuart was talking earlierabout the Wall-E movie, about
how everybody sits around onthis kind of luxury spacecraft.
Speaker 3 (32:45):
The space liner.
It gets bigger and bigger andfatter and fatter.
The pictures on the wall of thecaptain of the ship, the
captain's each generation, getsfatter and fatter and lazier and
lazier, because the machineryis doing every single thing for
them.
There's no exercise, they sitin a chair and it takes them to
a different part of the ship.
They don't do anything.
Speaker 4 (33:07):
They don't even walk.
They don't even walk.
I mean, they get rolled intobed Right pretty much.
It was really a pretty funnykind of thing.
Speaker 3 (33:16):
But it's also a warning.
I think that's a warning to us,yeah, and could be a warning
about it could be applied to AI?
Yeah, because if it doeseverything for us, you know
brains need exercise too, and ifit does it for us, where's the
exercise for their brain?
Speaker 4 (33:33):
the new york crossword times.
Crossword right.
This one is right.
Speaker 8 (33:39):
No, father mario, as you think about jobs that you
you hear, about things that youmaybe have read over the past
few years, see, I'm not I'm notas concerned, and here's the
reason why because there aregoing to be jobs, and I think
that the Holy Father was notsaying that society can't change
(34:00):
We've experienced tons ofchange but that we do it
consciously and not justhaphazardly.
I mean, we have the whole thingalso going on in terms of
creating biological entitiesthat are mixed you know, animals
(34:22):
that can be mixed or protest tobabies, or all kinds of
different things that can bedone with science, and we've
been discussing that and we'vebeen discussing that and
ultimately, society is going toI think it's going to
self-correct, because I thinkthe technologies somebody will
come up with a technology to seeif this is authentic or not.
(34:48):
Companies will spring up totest stuff to see if it's AI
produced or not You're talkingabout okay AI, up to test stuff
to see if it's AI produced ornot.
Speaker 4 (34:57):
You're talking about okay AI, and that's even true
now in the university.
There are utilities that havebeen developed that can read an
AI paper, a generated paper, andsay yes, 92% of this paper has
been generated by.
Speaker 8 (35:10):
AI.
I think AI will turn on itself.
Speaker 4 (35:14):
It can.
What does that mean?
Speaker 8 (35:16):
It means that, remember, ai is human produced.
You've seen Terminator?
Right, I'm thinking aboutTerminator with all this
conversation.
No, no, but imagine somestudent faking a paper with AI.
Well, somebody's going todevelop a program that will tag
(35:37):
that AI, will tag another AI,and see what I'm saying.
Speaker 3 (35:44):
I see what you're saying, but let me ask you both
something, and this is for youtoo.
Okay, but ai can produce papers, but ai can also produce
sermons.
So if, when you were the likethe head of the who gets to be a
(36:06):
priest for the diocese, okay,would you be upset if a
potential priest said you know,my sermons are all AI produced
or something?
Would it affect congregations?
Would a congregation be upsetif they found out that the
minister or priest or rabbi dida sermon that was AI produced
(36:29):
and said it from their own headand heart?
Speaker 8 (36:31):
The answer is no, but here's from it.
For us as Catholics, okay.
For us as Catholics, theshortest you would be able to
get through our seminary is sixto seven years.
Speaker 3 (36:45):
Yes.
Speaker 8 (36:46):
And in those six or seven years, if you're using AI
for everything you're going tocome across.
You're going to be great inturning in a paper, but then
you're going to be in adiscussion group and you're
going to be an idiot.
Speaker 4 (36:58):
Okay, let's say hold on.
Speaker 3 (36:59):
But that's when they go to seminary.
What about when they're in thechurch?
What?
Speaker 8 (37:03):
do you mean?
Speaker 3 (37:03):
in the church.
I mean, they're on the pulpit,they're already an ordained
priest and if they create asermon that's AI produced,
Perfect.
Speaker 8 (37:12):
I would rather have a priest who cannot speak, who
can't preach, create an AIsermon.
That was really good.
The object is not that thepriest be any that be able the
object is that the message isgood for the congregation.
Speaker 5 (37:37):
That's how I look at it too, I think I think, all
right, rudy, what do you think?
I think, at the end of the day,and what the Holy Father kind
of speaks about is what,fundamentally, with all things
like the splitting of an atom,right, we could have created
fission and fusion energy.
Right, we could create morenuclear reactors One of the
(37:59):
things that most is the greatest, how would you say the greatest
indicator of a civilizationsort of moving out of poverty,
is the access to energy, is theaccess to energy, and so we're
able to create vast amounts ofenergy with it.
But we're also able to creategigantic bombs to kill ourselves
(38:23):
1,500 times over, right, and soI think it kind of applies the
same to AI.
I mean, they kind of let loosechat GPT, if you will, and the
first thing that it did is itrecreated another chat GPT, so
it sort of mimics the.
Speaker 4 (38:42):
You know I hate to say this, but all three of you
are wrong.
How?
You're totally wrong.
How I mean?
Look, it is a human beingwrestling with the text of
Scripture.
That is what constitutes mostof our sermons.
Yes, Okay, it's a human being.
Paul says we have this truth inearthen vessels.
(39:05):
Not, we have this truth in AI,right?
Speaker 3 (39:11):
In steel and copper.
Speaker 4 (39:21):
And it is these earthen vessels that are frail,
that will break one day.
That are the instruments ofGod's mission.
I don't want Jesus.
I would not have wanted Jesusshowing up and saying let me go
get an AI sermon and preach it.
All right.
Sermon on the Mount.
Ai produced.
Speaker 3 (39:32):
You are all wrong.
Speaker 4 (39:34):
I want a human being who's wrestled with the text and
speaking from the heart.
And speaking from the heartBecause AI can't do that.
Speaker 8 (39:42):
You're wrong.
You're wrong, you are wrong.
Why can't it?
I will talk.
I will talk when we get back.
Speaker 9 (39:50):
Oh, good point, it's 1070-CAN-TH and we'll be right
back AM 1070 and FM 1033.
The answer.
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See you there, charlie Kirk says we're supposed
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Charlie will be speaking at theupcoming Culture and
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We'd say you're in pretty good company and Salem,
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And a time to every purpose under heaven.
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A time to be born, a time to die, a time to plant, a
time to reap.
Speaker 8 (42:43):
Okay, well, welcome back.
Now.
The reason I said you're wrongfor this is because I think
you're presuming a purely AIsermon or a purely individual
human sermon.
What I would say is anybody whois worth their salt.
(43:04):
Now, you're always going tohave the tendency to be able to
do either way, but most people,like I, would ask AI to give me
answers to some issues that I'mdealing with in a sermon, and so
, partially, the sermon iscoming from AI, but it's going
to be filtered through mydecisions, my whatever I think
(43:28):
is important, whatever isn'timportant.
But we get ideas from all kindsof places.
You know I cannot tell you whatideas came from where every
time I speak.
Speaker 3 (43:42):
And do you really think that your congregation
wants to know where it came from?
Speaker 8 (43:46):
They don't want to know Exactly.
That's what I mean.
That's what I callcredentialism is that we are so
obsessed with the ownership ofour ideas, as if that we have.
It becomes horribly wrong touse an idea without giving
proper credit I will grant youthat.
Speaker 4 (44:06):
my concern was when you guys were saying let a I do
the sermon, just kind of ask thequestion, punch a button, print
it off and go up in the pulpit,like that.
That's I'm opposed to, but Iwould not be imposed to the idea
that said okay, I'm havingtrouble kind of understanding
kind of the nature of this wholeproblem.
(44:26):
So can you run me a scan offour different opinions?
Speaker 8 (44:31):
about this.
It would be the same thing asasking a professor.
Could you please re-explainthat to me?
Speaker 4 (44:36):
Exactly, and it'd be the same thing as trying to find
the answer in a published book.
If you had a published bookaround, it's called research.
Why is it different?
Speaker 3 (44:47):
Asking AI to find the information, put it together
and then edit and go over it andchange it and add and subtract.
Speaker 4 (44:53):
To be research, you've got to go into a library,
sit among dusty books and takeyour Claritin among the dust and
just read the book.
And it takes you an hour to getthrough a page.
Speaker 3 (45:08):
And in the age of Google you have to do that.
Speaker 8 (45:11):
He's being cynical.
Speaker 7 (45:13):
I'm being cynical, of course, oh, okay.
Speaker 8 (45:15):
Yes, I'm not being serious to it, of course no, I
mean you can't tell from davidafter all these years that we've
known each other because he'sso serious all the time he's a
professor yes, as if allprofessors are serious all of
the time.
Speaker 3 (45:29):
Yes, yes, let's get an ai professor, see what they
do.
Yeah, yeah.
Speaker 8 (45:34):
And, by the way, in doing my research on YouTube, I
looked at a couple of programs.
I mean videos.
One of the videos was showingan AI Pope, leo, giving a talk
that he had never given.
Speaker 3 (45:54):
Did it really look like him?
Yeah, oh yeah.
Speaker 4 (45:57):
They use legitimate footage and they're able to
change the movement of the mouththey're able to change the
mannerism.
Not change it, but to bring themannerisms into consistency
with the real person.
Use their voice, change tointernal.
It's amazing.
Speaker 8 (46:17):
They can have actors who are dead be leads in movies.
Speaker 3 (46:23):
But they don't look like.
Speaker 8 (46:24):
They do look like.
Speaker 4 (46:25):
They look exactly like them.
Speaker 8 (46:26):
That's what they're supposed to look like.
Yes, yes.
Speaker 4 (46:28):
They look like they did in 1967 because they have
that film together.
Yeah, so you have to start withsomething.
You can't just make it up.
Speaker 3 (46:38):
You've got to start with a film from that period,
because only God starts withnothing and creates from nothing
.
There you go, there you go.
Speaker 4 (46:46):
Stuart.
So, rudy, engineering.
Let's talk about engineeringreally quick, because we're just
about out of time here.
Talk about engineering reallyquick because we're just about
out of time here.
Um, how many engineers aregoing to lose their uh ability
to practice engineering over thenext 50 years, you think,
because of I think.
Speaker 5 (47:05):
I think I think only, as with all things uh, david,
the, the lazy ones, because withengineering and with philosophy
too, I mean, and just as a kindof a fundamental human
initiative, if you will, Ialways want to keep growing and
(47:29):
knowing.
So I'm always seeking,especially as a business owner,
right?
So I'm always thinking,especially as a business owner,
right, you're always wanting tohappen, is it's going to become
(47:55):
more specialized and the peoplethat get more specialized are
going to take those top-tierjobs, if you will.
I mean, I'm sure maybe therewill be some downsizing.
It'll take 10, 15 years.
Speaker 4 (48:09):
Well, if Stuart has his way, there'll be a lot of
rabbis out of work, because allhe needs is AI to do all these
sermons and such.
Speaker 3 (48:19):
Right to do baby namings and everything else.
Speaker 4 (48:22):
Yeah, exactly, exactly.
So I mean there are some jobsthat only a human being could do
.
Speaker 3 (48:32):
it seems like human being could do.
It seems like, david, you know,20, 30 years ago I remember
they had these programs thatwould act like a council, like a
psychologist, and they wouldrespond.
You would type in something andit would say well, how does
that make you feel?
Speaker 4 (48:49):
So this was typed in.
You type it in and it was alltyped back.
Speaker 3 (48:53):
Right.
But people would say, who tookpart in this program that it
really helped them, that theyreally felt like they were being
helped psychologically by theseprograms.
Who were like, if they use thisword, ask this, if they use
that word, ask that you knowthis kind of programming Right.
But they said it felt naturaland they felt like they were
(49:15):
helped.
Speaker 4 (49:16):
Well, there are all these chatbots that are trying
to get into our brains.
You know, today earlier, I gota text message.
I said hey, I'm looking forwardto seeing you tonight at six,
something like that, and I haveno clue who it was.
Now.
If I had responded, I didn't,but if I'd responded to that, I
would be connected to a chat botand that chat bot would be
(49:40):
learning about me and be alsolearning about conversation.
So it's very well possible thatmillions of people have been
chatting, even briefly, withpersons Scammers, they're not
scammers with persons Scammersthey're not scammers.
Speaker 3 (49:57):
They are scammers.
Speaker 4 (49:57):
They're bots.
They're not trying to getanything out of you.
What they're trying to do,they're trying to learn how to
have conversations that arehuman-like conversations.
That's not throwing up a bunchof mumbledy gook or something.
The ones you're talking about,I'm sure, but there are also
horrible uses of AI out therethat are only for the purpose of
(50:20):
scamming people, absolutelyabsolutely yeah, You've got to
be careful, but I'm just sayingthat they have been learning
from us how to speak.
You know, I go to thisdealership, car dealership and
all of a sudden a little chatbotjumps up, say I'm Michelle, how
can I help you?
(50:40):
And I start chatting with, sayI'm looking forward to doing to,
you know, having my car in forservice or whatever.
Well, what can we do to help?
What time do you want to come?
You know, and so it's learning.
It's not intelligent in thesame way that there is conscious
intelligence.
It's responding in a particularway.
It has been programmed, In asense programmed to respond.
Speaker 8 (51:03):
It's mimicking human output.
Speaker 4 (51:05):
It is, it is yeah, and it can do it at an amazing
pace.
Right, it can do it so muchmore efficiently in some ways
than we can do.
Speaker 3 (51:14):
That means some secretary and some auto dealer
lost their job to a chatbot.
Speaker 4 (51:19):
Yeah, exactly, and that's part of the Pope's
concern, I think, is that mostof the people that are going to
get hurt by this will not bewhite-collar professional people
generally, collar professionalpeople generally.
It's going to be people who areum in in middle range jobs, you
(51:40):
know who?
Speaker 3 (51:41):
maybe it's their first job or second job, but,
boy, it goes away becausethere's the chat bot that can do
it instead you know they usedto say that whenever there was a
technology, people would losetheir jobs because of the new
technology, but new jobs wouldcome in their place.
So if we have AI doing thingsand then AI correcting AI, will
(52:02):
there be new jobs for people totake?
Speaker 4 (52:04):
In 50 years from now, I won't be around, none of us.
Rudy might be around, okay, butyou don't think he'll be around
.
Okay, 30 years.
But there'll be jobs getphysically fit get physically
fit that's physical therapy um,there'll be jobs that we have
never imagined taking place in30, 40 years.
(52:28):
A lot of that's because of thepace of technology when we think
about 30 to 40 years from now,jobs that we could never imagine
will be happening, and theymight be good-paying jobs, who
knows?
Speaker 3 (52:42):
And some of the jobs we absolutely rely on now will
go the way of the buggy whipmanufacturing companies.
Speaker 4 (52:50):
Yep, yep, exactly, all right, very quickly.
How important is it for humanbeings, made in the image and
likeness of God, to work Stuart?
Speaker 3 (53:00):
being I might get flack for this, but I think
mainly males, but females toohave need work, needs to do
something productive and andthat's how they find meaning,
(53:24):
you know, in, in, in, in whatthey do every day.
Speaker 8 (53:28):
Paul mario oh, I I think in human.
The human being, made in theimage and likeness of God, has
to be in some way creative.
You need to create, you need todo something meaningful, rudy.
Speaker 4 (53:42):
So it could be creating music.
Speaker 8 (53:43):
It could be art, it could be yeah, rudy.
Speaker 5 (53:48):
I think as long as it continues to serve that
creative endeavor of humanity, Ithink we're going to be okay
with AI.
Speaker 8 (53:57):
Yeah.
Speaker 5 (53:57):
It's when we start playing our vices with
pornography and addiction andother things like that that I
think it's going to really turnugly.
Speaker 3 (54:05):
Go see the Terminator again.
Speaker 8 (54:08):
Dime it, okay.
Well, who's up next week?
I am Okay, stuart is ourstudent.
Rabbi, remember to send theshow.
Okay, well, who's up next week?
I am Okay, stuart is our Rabbi.
Rabbi, remember to send theshow.
What did?
Speaker 3 (54:20):
you say I don't know.
Say it again.
Speaker 5 (54:24):
Remember to send the show that Miranda sends the show
.
Speaker 3 (54:27):
Oh, okay, absolutely.
Speaker 8 (54:29):
Okay, this is 1070 KNTH.
You've been listening to A Showof Faith.
Please, during this week, we'regoing to keep you in our
prayers.
You please keep all of us inyours.
Speaker 9 (54:40):
Find us at am1070theanswercom.
Download our apps.
Stream us 24-7.
K-n-t-h and K277-D-E-F-MHouston.
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