September 21, 2023 • 28 mins
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Prepare to have your preconceived notions about AI shattered. We're not talking about Hollywood's sci-fi plotline, but the very real use of algorithms and data mimicking human behavior. Our guest is none other than Craig Stonaha from Laughing Rock Technologies, who dissects the essence of what AI truly is. Drawing parallels between the evolution of hardware companies like Nvidia and Intel and the rise of AI, Craig will take us on a fascinating journey to the heart of this groundbreaking technology.
However, as we marvel at AI's increasing sophistication and the transformative potential it holds for sectors across the board, we can't ignore the crucial ethical considerations at play. Craig emphasizes the importance of human-driven guidance in coding AI, highlighting the consequences of overlooking this aspect. As we get a glimpse into the future, where AI acquires knowledge from the entirety of the internet and potentially surpasses human intelligence, we must ask ourselves: Are we ready and equipped to handle such a reality responsibly? Join us for this riveting discussion that touches not only on cutting-edge technology but also on our fundamental human values.
PS - the description above was written from AI listening to the podcast w/ Craig.
#artificialintelligence #craigstonaha #bradweisman #realestateandyou #AI
We know self tanners. We love self tanners. To us, self-tanner for men are a necessary part of life. You see a pale dude on the street and he looks like a fish out of water. It's a real problem, bro. But this exact passion for self-tanner is why Bro Glo is so rad.
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Welcome to The Brad Weisman Show, where we dive into the world of real estate, real life, and everything in between with your host, Brad Weisman! 🎙️ Join us for candid conversations, laughter, and a fresh take on the real world. Get ready to explore the ups and downs of life with a side of humor. From property to personality, we've got it all covered. Tune in, laugh along, and let's get real! 🏡🌟 #TheBradWeismanShow #RealEstateRealLife
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:01):
Hello, this is Brad Wiseman.
You're listening to Real Estateand you.
We are back in the studio andwe have a really interesting
topic that we're going to talkabout today.
You might be hearing this stuffall over the news, all over
podcasts, all over everywhereactually, and it's AI.
The word is AI, or the twoletters are AI, not the word.
(00:22):
This sounds like funny.
The word is.
It's from Saturday Night Live,I think, but we have Craig
Stonehall here from LaughingRock Technologies.
He happens to do our tech stuffhere at the office.
He's been a good friend for who25 years or so.
When I came up to questions Ihad on AI, I thought I am going
to bring Craig Stonehall inbecause I'm sure he has been
studying this or looking at whatthis is all about.
(00:45):
So how are you doing, craig?
I'm doing great.
How are you doing Brad?
I'm doing fantastic.
Thanks for coming in.
No, I'm glad to be here again.
Speaker 2 (00:51):
I think this is my second time.
Speaker 1 (00:52):
At least second.
Yeah, I think it's second time.
It's one of my favorite shows.
It's been a while it has been,but I'm a big fan of the show.
Thank you so much.
Are you still doing yourpodcast too?
Speaker 2 (01:01):
I am.
We're not as popular as you.
Well, that's not all that Iwouldn't say.
Speaker 1 (01:04):
Your show is different.
You get the drink on your show.
Oh, we drink too much.
Yeah, you drink a lot, it'sprobably a lot of different yeah
.
I think sometimes you actuallyforget the mics on.
I can just tell, and they'reswearing a lot on your show.
Speaker 2 (01:16):
A little bit.
We're PG-13.
Speaker 1 (01:18):
You're PG-13.
Speaker 2 (01:19):
That's right.
So we can say like some words,not all the bad ones.
You can say all the words we'renot believe in anything.
Speaker 1 (01:25):
I didn't think so.
I was on there once you were onour show and I liked it.
It was very cool, very coollaid back format.
So let's dive into AI, theartificial intelligence.
This whole thing has just beenblowing up we arts.
I'm seeing it everywhere.
It's on all kinds of podcasts.
I heard a podcast with on Edmailet's Show and that is what
(01:47):
really prompted me to give you acall.
Is it's sounding scary?
Some of this stuff it'ssounding scary and I don't want
to be doom and gloom, but justgive me like a brief, like what
is AI for people?
That?
Speaker 2 (02:00):
have no idea.
There are so manymisconceptions about what AI I
mean.
I think sci-fi has lied to usover the last 30, 40 years or
whatever.
It's not, Lieutenant Commander.
Data from Star Trek, the nextgeneration, it's not how from
2001.
And maybe at some point it willbe something like that.
But what we're seeing right nowis the emergence of algorithmic
(02:21):
machine learning.
Now, that is a sub component ofAI.
Speaker 1 (02:26):
Ethnic machine learning.
Speaker 2 (02:27):
That is the vast majority of what we're seeing
out there.
What we mean by that is a goodexample.
So your kid is intelligence,not artificial, real, but you're
intelligent.
You send them to school.
The curriculum they're learningfrom is the machine learning.
So the way we teach thesesoftware programs to mimic
humans which is what AI'sdefinition really is is through
(02:48):
this machine learning, throughthese algorithms, through this
input of data in a cohesive andrelevant way.
So it makes for a veryconfusing topic, though, because
they're not the same thing.
They're not the same thing.
What we're seeing right now isthe emergence of tons of siloed
we'll call them AI's for therest of the show, but siloed
(03:08):
intelligence.
So again, think about yourphone.
Apps on your phone, every appdoes a specific thing.
We're seeing them pop up in alldifferent industries.
We're seeing them pop up ineducation.
We're seeing them pop up infinance, but they're very
targeted, they do what they do,they learn within their
environment, they're fedspecific data and they produce
very reliable, specific resultsWithin its region.
(03:31):
Within its region yes, got it.
So I think what a lot of peoplethink of when they hear AI is
they think of that overreachingsky net.
Speaker 1 (03:37):
Okay, Like Siri, alexa isn't that.
Is there AI involved there?
Speaker 2 (03:41):
I mean there's machine learning involved there,
Gotcha.
So as you interact with yourSiri or your Alexa, or as all
the different people that are onthat platform interact with it,
it will learn habits, it willlearn trends, it will figure out
how to interact better, but atno point is it really replacing
a human Gotcha.
It's doing some mimicking ofhuman behavior, it's trying to
(04:02):
get better, it's trying to learn, but it is not developing into
its own intelligence.
Speaker 1 (04:07):
So it's not really.
Speaker 2 (04:07):
AI Okay.
Speaker 1 (04:09):
Okay, so, so is okay.
So what is so?
Where is it changing that?
So now I think AI is itstarting to get where there's
actually these machines, orwhatever robots, whatever you
call this, this machine is itstarting to learn more?
Speaker 2 (04:24):
I think you're talking about the press why
we're hearing so much about it?
Yeah, okay, so what happenedwas machine learning and AI
haven't changed thatdramatically.
They have, and Elon Musk hasbeen a huge push on this.
If nobody doesn't really knowwhere all of this came from chat
, gpt, which is a huge social um, you know, machine learning AI,
yes, um, elon was a part ofopen AI, which developed that
(04:45):
originally, which is now ownedby Microsoft, so he's been a
driving factor in this wholething.
But what has really made itexplode on the scene is the
advancement in hardware um,nvidia making, you know, better
processors for doing um, aigraphics, intel and AMD making
faster and faster chips thatprocess more reality.
So what you have to understandis, when it comes to AI true AI
(05:09):
as this thing develops, it doesnot exist in the same universe
we exist in, right, every humanis.
Basically, we have the sametalents, right?
We would get up at the sametime.
We would get up in the morning.
We worked during the day.
We measure ourselves by howmuch we get done.
We have to go to bed, gotcha.
So we all have a common frameof existence, right?
So AI will not experience time.
It could live an entirelifetime in an hour or in a
(05:29):
minute or in a second, dependingon how much processing power
you give to it.
Wow, so AI's existence iscompletely dictated by the
amount of processing power thatis allocated to that particular
intelligence.
So what's happened is, over thelast four or five years,
hardware capability hasexceptionally increased, and all
of a sudden, we can give thesethings what they really crave,
(05:50):
which is power.
They can digest so much moreinformation.
We can set an AI loose on theinternet and it can read it.
Speaker 1 (05:56):
I mean imagine if we read the internet, which isn't
Well, I know, they can readpictures.
Oh yeah, they can read pictures, because in real estate we have
that going on right now.
We, through command, throughKeller Williams, we have a
program now that when it looksat the pictures, it describes
the house based on the pictures,and they're getting good at
that, getting really good at it.
Speaker 2 (06:15):
Yes, Well, and we've even started doing I mean, for
about the last year we've beendoing a lot of our testimonial
writing and our marketing.
Yeah, We've been having chat,GBT doing.
Speaker 1 (06:23):
I ditched my bio on on chat GBT.
I couldn't believe it.
I put in a couple things,couple simple things about
myself, about how long I'm inreal estate, what I'm doing in
the podcast, the American DreamTV show, that I'm doing all this
different stuff.
There's different points in mylife.
The paragraph was about thisbig that I actually gave it that
big on a piece of paper.
(06:43):
It wrote a bio for me that wasone and a half pages and it
sounded amazing.
I sounded so freaking cool.
It was amazing.
Like, seriously, I want to datemyself after I listen to read
it.
Of course, it was amazing.
It was so amazing.
So that's the part when I readread that too.
That was.
I'm sitting there going, wow,this thing is writing something
(07:06):
that is better than I can write.
Speaker 2 (07:09):
And I this is the first I've seen it do this I
mean this whole in the last twoyears.
It has really leapt forward.
Yeah, and the biggest questionI get and I give speeches on
this yeah, I've been on in thetechnology for decades and this
has been a conversation thatcomes up regularly, and when it
let's talk about chat, gpt,first, I get a lot of people
that say how should we befighting this in academia?
(07:30):
That's the thing I thought of.
I don't believe we should be.
Yeah, in my opinion, I thinkand this is a bold statement,
but I'm going to say it, why not?
I'm on your show.
Whatever, I think this AIrevolution that we're we're at
the forefront of right now,which will happen over the next
20 years, might end up being thesingle greatest change in
humanity, maybe ever.
(07:51):
Well then, you're on thepositive side of this.
I'm not saying it's positive ornegative.
Speaker 1 (07:54):
Okay, I'm not giving it a but you sound, but you
sound more, you sound betterthan the guy I heard at Edmile
he was.
He was like, yeah, we should belike ready to dig holes in the
ground and these things.
It reminded me of Terminator 2is the way he made it sound,
like you know, terminator 2,where the machines took over,
started shooting us and allthose things, robots.
And I mean that could also bewhat I thought in my head.
Speaker 2 (08:16):
I mean I probably you know a lot of people in the
industry go that direction.
I got to be honest.
If you give me a couple ofbeers, I'm probably going to
head down that road too.
Speaker 1 (08:23):
Unfortunately we don't have any beer down here,
so yeah, it's good that way.
Speaker 2 (08:27):
But in reality we can't control that.
Yeah, and again, sci-fi liedthere are no three rules of
robotics All right.
We were watching AI is beingdeveloped.
Speaker 1 (08:35):
Now that we've seen AI that have become complete
psychopaths, we've seen as theyas it become complete sociopath
serial killers Based on the one,that the one that hit me was
from that show that the otherpodcast I keep referencing was
when he said what scared themwas when they were doing this
test on AI and it was a machinethat we're talking to and
(08:55):
they're asking all thesequestions.
That's going back and forth,going back and forth.
And they've never, ever taughtit how to lie.
Okay, and at one point theperson interviewing this robot
or this machine he said are youa robot or you're a machine?
And it stopped and went, no.
So at that moment I just gotchills.
(09:18):
At that moment it learned it.
It it learned something that wedidn't teach it it learned how
to lie.
Speaker 2 (09:25):
You want to hear something even more terrifying,
and don't quote me on this.
I believe it was MIT.
Yeah, they did an experimentwhere they created a couple of
rudimentary AIs.
Speaker 1 (09:33):
Yeah.
Speaker 2 (09:34):
And not a couple of multiple yeah.
And then they released theminto an enclosed environment and
they fed them basic information, language, math, enough so that
they were functional, and thenset them loose in a controlled
environment where they onlyinteracted with each other
Within minutes.
They started to evolve Withinin 24 hours.
We had absolutely no way ofcommunicating with them.
We had to pull the plug.
Speaker 1 (09:54):
Because they were communicating.
Speaker 2 (09:56):
They had invented their own language.
Speaker 1 (09:57):
They had invented their own math.
Speaker 2 (09:59):
They had invented their own entire way of
interpreting input output divide.
They had become so foreign fromwhat we perceive as our reality
that the only way we could dealwith them was to turn off the
machine.
We could not communicate withthem anymore.
And imagine if, if you canoperate as fast as humanly
possible mentally, the humanlanguage is terrible.
Speaker 1 (10:18):
Yeah, it's a horrible way to communicate.
It is.
You're exactly right and that'swhere they were at it's slow,
so it's very slow.
Speaker 2 (10:23):
They replaced it.
Speaker 1 (10:26):
And you know computers, in the past I, I
programmers, always said it was,it was uh, when this happens,
do this.
When this happens, do this.
When this happens, do this.
If, then if, then yeah, the if,then that was the.
That is not still happening, itis.
Speaker 2 (10:42):
I mean, look just on a much higher level Everything
is everything is everythingfinds parity.
Yeah, and we always see this intechnology.
Yeah, uh, you know, I rememberwhen, when laptops came out, the
PC was dead.
Speaker 1 (10:51):
People still have laptops are still around.
You know one right there.
Um, he's trying to say I'm oldfashioned.
Do you hear that?
Speaker 2 (10:58):
Oh you are, let's make a note of that.
Speaker 1 (11:00):
We all agree.
Yeah, but this is actuallyCommodore 64.
I don't know if you've everseen it before.
Speaker 2 (11:06):
See, I don't buy that , because I don't see you coding
.
Speaker 1 (11:07):
Yeah, no, there's no way I'm coding.
This is true, this is true, goahead.
Speaker 2 (11:10):
Sorry, um, but uh.
Ai is not going to replace allcoding.
So we're seeing it right now inthe coding world my coders do
it where they will ask an AI towrite snippets of code for them
and out of here, because theinternet still runs on PHP and
HTML and all those languages.
So AI is not in the process ofreplacing all technology.
What AI is in the process ofdoing is changing how we
(11:34):
interact with our data.
That's a very different thing.
We still have the old codinglanguages and we still have to
code in those, but the AI's canwrite that code for us, so
they're sitting above thosetraditional.
If, thens, what they're doingis they are gathering,
interpreting and handing outresults on massive amounts of
input, and the real problemwe're going to run into is, as
(11:57):
these, as these AI's as theybecome more commonplace, we are
not going to be capable ofinteracting with what they're
doing.
So imagine oh interesting.
Imagine an AI that runs on thattakes care of the financial
markets and it interacts withthe stock market.
It is going to be working sofast that no human can possibly
keep up with the trades, andother companies will write other
(12:18):
AI's that will compete becauseeverybody's going to want to get
an edge.
So you're going to havebillions of micro trades
happening in millions of asecond.
The only way we even know whathappened during the day on the
financial market will be at theend, when we close it and we
look back, and even then,probably so much will happen
that we'll need AI's tointerpret the information from
the AI's, because it's happeningso fast.
Speaker 1 (12:36):
So much faster than us, right?
Because we just don't.
We don't do things that fast,we're not capable of that.
Speaker 2 (12:41):
That's why we build them.
It's efficiency Wow.
But it will outpace us ineverything.
And I actually, in one speech Iasked the audience.
I said give me an industry thatwon't be affected by AI in the
next 20 years.
And some guy thought he got meand he said garbage men.
And I said that's a great point, it's already happening.
And he said what do you mean?
And I said there are alreadyautomated garbage trucks,
self-driving, using Elon Musktechnology, that have our tied
(13:05):
into a network of trash cans,that have sensors in them and
solar panels that when they get80% full, they notify the
garbage truck Amazing.
And the machine it dumps it.
It even goes to the dump on itsown, no humans involved.
Yeah, the AI is basicallytaking care of all of it.
I said so, no, give me anotherone.
Speaker 1 (13:19):
It's everywhere, it's everywhere.
Speaker 2 (13:21):
And it will affect every single industry.
Speaker 1 (13:22):
Yeah, but will it make us?
Does that make us better?
Then, you know, that's thething, and the place that I
think is the big bonus is in themedical field.
Yes, I think that the fact thatit takes, how long it takes us
to grow something in a Petridish, try this thing, try that
thing, try this thing, look atthe reaction, did it work, did
(13:45):
it not work.
You know, just imagine if wecould speed that up.
Like I think about cysticfibrosis, just because I was
very involved for many years andwhen we first started cystic
fibrosis study or doing that,that, the Gala, the average age
of a kid that had it or somebodyhad that, was like 27 years old
, 28 years old by the time westopped, 19 years later doing
(14:07):
that gala.
The average age now for most ofthem is almost regular
expectancy up to into the 70s.
And that's because they foundthe gene and they found it
faster than they thought theywould.
And then they found medicinethat you could take to fight
that problem.
Imagine if we had computersthat could have done that faster
(14:30):
than the five years.
How many lives would have beensaved.
Speaker 2 (14:34):
Well, healthcare is a great industry.
To look at that, look atastronomy.
Oh yeah true, and you've got anAI real time taking in every
single piece of data from everysingle radio telescope, every
single space telescope, everysingle listening station and
simultaneously processing all ofthat and remap and changing our
models.
Oh my God, I mean it'll changeovernight and we won't even
(14:54):
understand why.
What terrifies me is themilitary.
Yeah, because, theoretically,once AIs are running everything
because once you introduce AIsin the military, you're gonna
have to have AIs to combat AIsyou could have an entire war
fought and we wouldn't even knowwhy.
Speaker 1 (15:06):
Yeah, and it could be just shutting us down.
I mean, the AIs could be.
It might not be any bullets orany bombs, it could just be we
just shut down your city or yourcountry.
You have no electric now, youhave no gas grid, you have
nothing.
Speaker 2 (15:20):
You know, that's the part that could be ugly, because
everything's run throughcomputers, and I think part of
that and what we're not lookingat this is the real scary part
is how we're treating AI.
You've got a million differentpeople developing a million
different AIs.
There's no guardrails on thisthing and the problem is they
are like children.
The input we put into themdictates the output we get, and
at no point are these developerslike.
(15:41):
I work with IT guys.
I hire them.
These are not guys that areworried about adding morals and
ethics to their code.
That's not their thing.
They're worried about results.
Speaker 1 (15:49):
Yeah, so what we put in there.
They even said, like the guythat was listening to you said,
even when you look at like aTwitter feed or now it's called
X the Twitter feed you see,let's use Donald Trump when he
would put something up and thenthere would be all this hate
stuff and then there would bestuff that was good and people
really support him and there wasmore hate stuff under that.
He said the guy that was onthat podcast said that we are
(16:11):
teaching the machines hate, yes,and we're teaching them that we
don't get along as people, andthat's not good.
It's not good at all.
And that's the part he said ifwe have to be careful what we
put out there, what we put intothese machines, because they're
learning from us and they caneither learn good or bad.
Speaker 2 (16:30):
Well, let me ask you this Do you let your kids at the
age of five just roam theinternet freely without any
guardrails?
Absolutely not, then why are weteaching RIAs that way?
That's exactly right.
I mean, we teach them in asmall environment, controlled
with the ethics and the valuesthat we appreciate, and we
expand it as they get it, andthat's really how you have to
train AIs, and we won't take thetime because it was profit to
be made, exactly, and there'scompetitions between governments
and all these things will comein the way and I don't know
(16:52):
where that lands.
Speaker 1 (16:53):
Yeah, and the analogy I heard also was you know the
Superman, obviously the comicbook Superman.
He comes down from his you knowplanet or whatever comes down
on earth.
He's a baby and they find himin the barn.
The Kent's, clark Kent'sparents are good people.
They're farmers, they're goodearth.
You know good people.
(17:13):
They have good morals, theyhave good ethics, all this stuff
.
If Superman would have landedin the wrong barn and they were
evil people I know some of thosebarns.
Yeah, I think so too.
So do I.
So do I?
Were you born in one of those?
I'm just trying to just nocomment.
Speaker 2 (17:30):
No comment.
I did talk to your dad once.
He's just gone off the rails.
Speaker 1 (17:33):
So no so, but it's just interesting.
In that, that analogy wasreally good.
The AI is Superman.
Okay, the only reason he didgood things is because he was
raised by good people.
We need to do the same for AI.
Speaker 2 (17:46):
Well then, we take our ethics for granted a little
bit too, which I think we needto take a step back from.
For example, I was trying tohelp my daughter understand why
murder is bad.
Yeah, and she's like, well, itjust is.
And I said, no, it's not.
If you look, there's a ton ofcultures in this world where
it's okay to murder.
Yeah, depending on thesituation and everything else,
murder is fine.
I said we have dictated thatmurder is not and you need to
(18:07):
understand why, or else how willyou ever understand your own
moral code?
It's good stuff and it'simportant, and it's important
for this conversation.
Yeah, we've made some messed upAIs?
Speaker 1 (18:16):
Yeah Well, that's the problem and that's the thing.
So they're only going to havethe ethics and morals, that of
the people that are programmingthem, or the input that we no,
not the program, the input.
Speaker 2 (18:27):
Yes, it's the input the input that we put in.
So if we set them loose on aReddit, a Reddit meme page,
they're going to end up beingreally messed up.
But if we I don't know, I meanI don't know where, yet I don't
know.
Speaker 1 (18:39):
That's the problem.
Think about it.
Where do we send them to getgood stuff?
Speaker 2 (18:43):
I don't know where I go to get good stuff Like it's
hard to find anymore.
It's amazing, right?
I think we should just takethem to the bar.
Everybody's having a great timeat the bar.
Speaker 1 (18:52):
AI, ai bars.
There you go AI bars, just forthem, alcoholic AIs.
So before we end this up here,I mean this is great topics and
we're going to keep it going alittle bit longer than we
normally do.
But let's go back into some ofthe questions that I had was can
they replace humans?
Absolutely.
Speaker 2 (19:08):
Absolutely One of the convergence points that we're
going to see and they call it aconfidence and one of these
points is going to be when AI isone able to self-code.
Once it can write its own code,that's going to be a big moment
.
Two, when it can self-replicate.
And three is when it controlphysical bodies, which we're
already seeing that trash truckexample.
(19:30):
It's not a humanoid body butit's controlling truck.
Speaker 1 (19:32):
It's controlling.
Yeah, it's a mechanical thing.
Speaker 2 (19:35):
And if you're looking at what Boston Dynamics and
some of these other roboticscompanies are doing is, you are
seeing the confluence happen inreal time.
You're seeing the robotics takeleaps forward in the last 10
years while we're simultaneouslyseeing machine learning take
leaps forward and they are goingto smash together, I would
guess, probably in the next 10years, maybe even in the next
five.
Speaker 1 (19:52):
Yeah, I'm seeing some of the robots with the facial,
the actual faces that they haveon them.
They look like human.
I mean, it's not like it usedto be.
They look like human beings.
The faces move, the eyebrows goand everything else.
So you match that with theintelligence of AI, with the
mechanical.
That's gonna be prettyinteresting and it will happen.
Oh, it will happen.
(20:12):
Oh, I agree, and I thinkthat'll be within my lifetime.
I'll see that.
Speaker 2 (20:15):
Oh, definitely.
Speaker 1 (20:16):
Yeah, don't say no.
It's like nah, I'm not seeingthat for you at all.
Let's ask the A-ball.
Speaker 2 (20:22):
Don't ask the A-ball.
Don't ask the A-ball, don'twanna know, don't wanna know.
Speaker 1 (20:26):
And then the other thing I heard on the other
podcast too is that right nowthe guy had said that AI is at a
basically the same IQ asEinstein.
Yeah, and they said it'smultiplying like crazy.
So is it gonna?
I mean, if they're alreadysmarter than us?
Speaker 2 (20:43):
No, I mean, that's a flawed analogy.
I mean there's really an IQwith AI.
Okay, again back to its abilityto compute.
Comes down to how much power wegive it.
Gotcha, it has access to allthe knowledge of the world.
No human has that.
So the comparison is not aptbetween any one human, or even
any one group of humans, and AI,because it has access to
(21:05):
everything.
You see that with chat, gpt, goask it questions, it can pull
up stuff that you can't evenimagine.
Oh, it's Google, because it'sread the internet.
Yeah, what we're really lookingat here is not so much an IQ
test as much as an ability toperform human functions, which
we are seeing.
I mean, it was 10 years ago.
I remember reading an articlesaying AI's will never be able
to create art.
They're creating art right now.
(21:25):
We actually have some of themost popular artists on the
internet, or AI artist.
Amazing, there are AI's thatfunction exclusively on social
media.
In fact, pepe the Frog is acomplete AI account that
interacts all over social media.
Look him up on X Twitterwhatever you want to call it but
yeah.
I follow Pepe.
He was a meme coin, NFT that isnow run by AI, completely
(21:45):
independent.
No humans interact with Pepe.
Wow, no humans control Pepe.
Pepe interacts with all thehumans Jeez.
So these things are real andthey have already exceeded.
Like I remember watching StarTrek and thinking Lieutenant
Commander Data was the epitomeof AI.
It's already baloney because henever had emotion.
They've already had emotionalAI's.
That's amazing.
They've had funny AI's.
Speaker 1 (22:06):
That's crazy.
They're not hysterical, rightright, bill Burr funny, but
they're pretty good, not asfunny as you, not as funny.
Speaker 2 (22:11):
I mean, I'm great, you're pretty funny, I'm kind of
the best.
Speaker 1 (22:14):
Yeah, you're one of the better.
Speaker 2 (22:15):
But like second behind me, yeah, behind you, got
you, yeah, yeah.
Speaker 1 (22:19):
And then Sebastian Mendes Calco.
Speaker 2 (22:21):
We've got to that right.
Those three in that order.
Speaker 1 (22:23):
Yeah, those three in that order Craig, ai, sebastian.
Ok, got it Sounds, right.
Speaker 2 (22:27):
Yeah, very good, so amazing, yeah, so it's weird.
It is.
There's a lot of weird stuffhappening and we don't.
What that shows is we don'tknow where it's going.
Yeah, we really don't.
We didn't know 10 years ago, wedidn't know 30 years ago.
We don't really know.
I see stuff from a year agothat's already been proven
untrue Amazing.
So this is going to be.
This is going to be a learningexperience and it's going to be
a real time learning experience.
Speaker 1 (22:47):
We're going to school .
Hard knocks, it's.
It's a main, hugo.
Do you have any questions oranything?
Speaker 2 (22:51):
No, but I wonder if Craig himself is an augmentation
sitting right there across fromyou.
Speaker 1 (22:57):
So you're wondering if he's actually a robot.
Is that you're saying?
Speaker 2 (23:00):
maybe the real Craig is sitting at home drinking a
beer.
Speaker 1 (23:03):
I ask you would do it .
He kind of did lead to that.
Maybe that's what's going on.
Speaker 2 (23:09):
I love how, every time you talk about me, I'm
drinking a beer.
In your mind I have a majorproblem.
Speaker 1 (23:16):
That's pretty funny there was something we never.
Speaker 2 (23:18):
If do we have time, yeah, go ahead.
We never finished the thingwith the school, which is yes,
yes, yes.
Speaker 1 (23:22):
Very yeah, that.
That is the.
That is one of the oneseducation.
We definitely want to coverthis.
So my thing with that is thathigh school person high school
started needs to write a termpaper.
What's to stop them withputting in a couple of things
and it writes the whole day?
Don't stop them.
Speaker 2 (23:36):
Encourage it, why they're gonna grow up in an AI
world.
This generation is going togrow up with AI.
If you try to stop it, you'retrying to fight progress.
What you need to do is changeyour educational standards, so
it's no longer about writingterm papers.
Now what it's about is presentyour term paper, got it.
You can use AI to write it.
Speaker 1 (23:52):
I don't get an example Greg.
Speaker 2 (23:54):
Well, what do you mean with that?
Speaker 1 (23:55):
like percent, so all right.
Speaker 2 (23:57):
So, for example, you, you want your students to write
a term paper on a classicalhistorical society and some kids
Rome and says I'll do it onRome.
Well, they can have AI writethem a five-page term paper on
the history of Rome and that's apiece cake of taking five
seconds.
But If they have to go stand infront of the class and do a
presentation on what they'velearned, that's different.
Now, that term paper that Iwrote for them is only a study
(24:19):
guide.
They have to understand thecontent and be able to Bring
suit to be able to regurgitateit.
Speaker 1 (24:25):
So I think you're gonna have.
Speaker 2 (24:26):
You're gonna have to have a lot more involvement from
the students.
Speaker 1 (24:28):
It can't be just that you know, just handing in a
paper, you can't the teacherreads it and goes wow, this is
amazing now what you?
You're gonna have access toinformation on a parallel level,
so you have to step it up anotch and you have to be able to
feed it back in a method that'suseful to you.
I like that I like that.
Speaker 2 (24:41):
So we need to shift our process on how we feed this
information into our kids.
Interesting, can't hide from it.
Speaker 1 (24:47):
I'm glad you said that because you just put a
whole new Way of looking at that, because at first I was like,
yeah, how do you control this?
How I mean used to be a little.
You know, plagiarizing was athing years ago, you know or not
.
Years ago, always is, and youknow, that's what I thought of.
But that's not plagiarizingwhen you do the GPT, that's
that's it's original content.
Yep, so very interesting.
(25:07):
I like the way that that went.
So one of the thing before weend up I want to ask you is what
do we do as a regular person?
You know we're not, we don'tfight it.
You can't fight this, it'shappening.
What?
What do we do?
We just sit back and watch ithappen.
I guess right.
Speaker 2 (25:22):
Well, I think, as with everything else in this
world, if you're not directlyinvolved, your responsibility is
to understand gotcha.
I mean, you can have apolitical.
If you have a political opinionand you don't understand what
you're saying, you're part ofthe problem.
And if you have an opinion onanything and you don't
understand what you're saying,you're part of the problem.
Yep, do some research andunderstand what's happening
around you.
We you know, at the end of theday, this thing is gonna play
(25:42):
out the way it's gonna play out,yep, and I don't think fear is
the right response.
Speaker 1 (25:45):
Yeah, no, it never is , because it actually fears not.
It's the worst response.
Exactly, it's educate yourselfand then you.
Then you can make a decision onwhether you're supporting part
of it, you are support, you'renot supporting part of it, or
whatever.
Speaker 2 (25:57):
But either way, it's good, things are gonna happen,
absolutely you can't stoptechnology but if you're aware
of it, you know there's a lot ofopportunity here.
Speaker 1 (26:04):
I love the bio it wrote for me.
I seriously do.
I would hire me too in a secondwhen I read.
That done, I think I might be aCEO of IBM soon.
Speaker 2 (26:13):
We'll just tell chat.
If you need to add that to yourbody, I'm gonna put that on
there.
Speaker 1 (26:17):
The CEO and there you go and now I am.
All you do is put it in and itjust it tells you that's what
you are.
I love it.
That's great.
All right, thanks for coming in, craig.
I appreciate it very much.
Craig Stonehall, from laughingrock technologies, you do a
great job every day.
You help out our office here.
We love that, and Thanks forgiving us all this information
about AI.
Man, I love it.
Speaker 2 (26:35):
Thank you, brad, it was a pleasure.
Speaker 1 (26:37):
Good stuff, man, good stuff.
All right, there you have it.
We will see you next Thursdayat 7 pm.
All right, thank you so much.
Hello, this is Brad Wiseman.
You're listening to Real Estateand you.
We are back in the studio andwe have a really interesting
topic that we're going to talkabout today.
You might be hearing this stuffall over the news, all over
podcasts, all over everywhereactually, and it's AI.
The word is AI, or the twoletters are AI, not the word.
(00:22):
This sounds like funny.
The word is.
It's from Saturday Night Live,I think, but we have Craig
Stonehall here from LaughingRock Technologies.
He happens to do our tech stuffhere at the office.
He's been a good friend for who25 years or so.
When I came up to questions Ihad on AI, I thought I am going
to bring Craig Stonehall inbecause I'm sure he has been
studying this or looking at whatthis is all about.
(00:45):
So how are you doing, craig?
I'm doing great.
How are you doing Brad?
I'm doing fantastic.
Thanks for coming in.
No, I'm glad to be here again.
Speaker 2 (00:51):
I think this is my second time.
Speaker 1 (00:52):
At least second.
Yeah, I think it's second time.
It's one of my favorite shows.
It's been a while it has been,but I'm a big fan of the show.
Thank you so much.
Are you still doing yourpodcast too?
Speaker 2 (01:01):
I am.
We're not as popular as you.
Well, that's not all that Iwouldn't say.
Speaker 1 (01:04):
Your show is different.
You get the drink on your show.
Oh, we drink too much.
Yeah, you drink a lot, it'sprobably a lot of different yeah
.
I think sometimes you actuallyforget the mics on.
I can just tell, and they'reswearing a lot on your show.
Speaker 2 (01:16):
A little bit.
We're PG-13.
Speaker 1 (01:18):
You're PG-13.
Speaker 2 (01:19):
That's right.
So we can say like some words,not all the bad ones.
You can say all the words we'renot believe in anything.
Speaker 1 (01:25):
I didn't think so.
I was on there once you were onour show and I liked it.
It was very cool, very coollaid back format.
So let's dive into AI, theartificial intelligence.
This whole thing has just beenblowing up we arts.
I'm seeing it everywhere.
It's on all kinds of podcasts.
I heard a podcast with on Edmailet's Show and that is what
(01:47):
really prompted me to give you acall.
Is it's sounding scary?
Some of this stuff it'ssounding scary and I don't want
to be doom and gloom, but justgive me like a brief, like what
is AI for people?
That?
Speaker 2 (02:00):
have no idea.
There are so manymisconceptions about what AI I
mean.
I think sci-fi has lied to usover the last 30, 40 years or
whatever.
It's not, Lieutenant Commander.
Data from Star Trek, the nextgeneration, it's not how from
2001.
And maybe at some point it willbe something like that.
But what we're seeing right nowis the emergence of algorithmic
(02:21):
machine learning.
Now, that is a sub component ofAI.
Speaker 1 (02:26):
Ethnic machine learning.
Speaker 2 (02:27):
That is the vast majority of what we're seeing
out there.
What we mean by that is a goodexample.
So your kid is intelligence,not artificial, real, but you're
intelligent.
You send them to school.
The curriculum they're learningfrom is the machine learning.
So the way we teach thesesoftware programs to mimic
humans which is what AI'sdefinition really is is through
(02:48):
this machine learning, throughthese algorithms, through this
input of data in a cohesive andrelevant way.
So it makes for a veryconfusing topic, though, because
they're not the same thing.
They're not the same thing.
What we're seeing right now isthe emergence of tons of siloed
we'll call them AI's for therest of the show, but siloed
(03:08):
intelligence.
So again, think about yourphone.
Apps on your phone, every appdoes a specific thing.
We're seeing them pop up in alldifferent industries.
We're seeing them pop up ineducation.
We're seeing them pop up infinance, but they're very
targeted, they do what they do,they learn within their
environment, they're fedspecific data and they produce
very reliable, specific resultsWithin its region.
(03:31):
Within its region yes, got it.
So I think what a lot of peoplethink of when they hear AI is
they think of that overreachingsky net.
Speaker 1 (03:37):
Okay, Like Siri, alexa isn't that.
Is there AI involved there?
Speaker 2 (03:41):
I mean there's machine learning involved there,
Gotcha.
So as you interact with yourSiri or your Alexa, or as all
the different people that are onthat platform interact with it,
it will learn habits, it willlearn trends, it will figure out
how to interact better, but atno point is it really replacing
a human Gotcha.
It's doing some mimicking ofhuman behavior, it's trying to
(04:02):
get better, it's trying to learn, but it is not developing into
its own intelligence.
Speaker 1 (04:07):
So it's not really.
Speaker 2 (04:07):
AI Okay.
Speaker 1 (04:09):
Okay, so, so is okay.
So what is so?
Where is it changing that?
So now I think AI is itstarting to get where there's
actually these machines, orwhatever robots, whatever you
call this, this machine is itstarting to learn more?
Speaker 2 (04:24):
I think you're talking about the press why
we're hearing so much about it?
Yeah, okay, so what happenedwas machine learning and AI
haven't changed thatdramatically.
They have, and Elon Musk hasbeen a huge push on this.
If nobody doesn't really knowwhere all of this came from chat
, gpt, which is a huge social um, you know, machine learning AI,
yes, um, elon was a part ofopen AI, which developed that
(04:45):
originally, which is now ownedby Microsoft, so he's been a
driving factor in this wholething.
But what has really made itexplode on the scene is the
advancement in hardware um,nvidia making, you know, better
processors for doing um, aigraphics, intel and AMD making
faster and faster chips thatprocess more reality.
So what you have to understandis, when it comes to AI true AI
(05:09):
as this thing develops, it doesnot exist in the same universe
we exist in, right, every humanis.
Basically, we have the sametalents, right?
We would get up at the sametime.
We would get up in the morning.
We worked during the day.
We measure ourselves by howmuch we get done.
We have to go to bed, gotcha.
So we all have a common frameof existence, right?
So AI will not experience time.
It could live an entirelifetime in an hour or in a
(05:29):
minute or in a second, dependingon how much processing power
you give to it.
Wow, so AI's existence iscompletely dictated by the
amount of processing power thatis allocated to that particular
intelligence.
So what's happened is, over thelast four or five years,
hardware capability hasexceptionally increased, and all
of a sudden, we can give thesethings what they really crave,
(05:50):
which is power.
They can digest so much moreinformation.
We can set an AI loose on theinternet and it can read it.
Speaker 1 (05:56):
I mean imagine if we read the internet, which isn't
Well, I know, they can readpictures.
Oh yeah, they can read pictures, because in real estate we have
that going on right now.
We, through command, throughKeller Williams, we have a
program now that when it looksat the pictures, it describes
the house based on the pictures,and they're getting good at
that, getting really good at it.
Speaker 2 (06:15):
Yes, Well, and we've even started doing I mean, for
about the last year we've beendoing a lot of our testimonial
writing and our marketing.
Yeah, We've been having chat,GBT doing.
Speaker 1 (06:23):
I ditched my bio on on chat GBT.
I couldn't believe it.
I put in a couple things,couple simple things about
myself, about how long I'm inreal estate, what I'm doing in
the podcast, the American DreamTV show, that I'm doing all this
different stuff.
There's different points in mylife.
The paragraph was about thisbig that I actually gave it that
big on a piece of paper.
(06:43):
It wrote a bio for me that wasone and a half pages and it
sounded amazing.
I sounded so freaking cool.
It was amazing.
Like, seriously, I want to datemyself after I listen to read
it.
Of course, it was amazing.
It was so amazing.
So that's the part when I readread that too.
That was.
I'm sitting there going, wow,this thing is writing something
(07:06):
that is better than I can write.
Speaker 2 (07:09):
And I this is the first I've seen it do this I
mean this whole in the last twoyears.
It has really leapt forward.
Yeah, and the biggest questionI get and I give speeches on
this yeah, I've been on in thetechnology for decades and this
has been a conversation thatcomes up regularly, and when it
let's talk about chat, gpt,first, I get a lot of people
that say how should we befighting this in academia?
(07:30):
That's the thing I thought of.
I don't believe we should be.
Yeah, in my opinion, I thinkand this is a bold statement,
but I'm going to say it, why not?
I'm on your show.
Whatever, I think this AIrevolution that we're we're at
the forefront of right now,which will happen over the next
20 years, might end up being thesingle greatest change in
humanity, maybe ever.
(07:51):
Well then, you're on thepositive side of this.
I'm not saying it's positive ornegative.
Speaker 1 (07:54):
Okay, I'm not giving it a but you sound, but you
sound more, you sound betterthan the guy I heard at Edmile
he was.
He was like, yeah, we should belike ready to dig holes in the
ground and these things.
It reminded me of Terminator 2is the way he made it sound,
like you know, terminator 2,where the machines took over,
started shooting us and allthose things, robots.
And I mean that could also bewhat I thought in my head.
Speaker 2 (08:16):
I mean I probably you know a lot of people in the
industry go that direction.
I got to be honest.
If you give me a couple ofbeers, I'm probably going to
head down that road too.
Speaker 1 (08:23):
Unfortunately we don't have any beer down here,
so yeah, it's good that way.
Speaker 2 (08:27):
But in reality we can't control that.
Yeah, and again, sci-fi liedthere are no three rules of
robotics All right.
We were watching AI is beingdeveloped.
Speaker 1 (08:35):
Now that we've seen AI that have become complete
psychopaths, we've seen as theyas it become complete sociopath
serial killers Based on the one,that the one that hit me was
from that show that the otherpodcast I keep referencing was
when he said what scared themwas when they were doing this
test on AI and it was a machinethat we're talking to and
(08:55):
they're asking all thesequestions.
That's going back and forth,going back and forth.
And they've never, ever taughtit how to lie.
Okay, and at one point theperson interviewing this robot
or this machine he said are youa robot or you're a machine?
And it stopped and went, no.
So at that moment I just gotchills.
(09:18):
At that moment it learned it.
It it learned something that wedidn't teach it it learned how
to lie.
Speaker 2 (09:25):
You want to hear something even more terrifying,
and don't quote me on this.
I believe it was MIT.
Yeah, they did an experimentwhere they created a couple of
rudimentary AIs.
Speaker 1 (09:33):
Yeah.
Speaker 2 (09:34):
And not a couple of multiple yeah.
And then they released theminto an enclosed environment and
they fed them basic information, language, math, enough so that
they were functional, and thenset them loose in a controlled
environment where they onlyinteracted with each other
Within minutes.
They started to evolve Withinin 24 hours.
We had absolutely no way ofcommunicating with them.
We had to pull the plug.
Speaker 1 (09:54):
Because they were communicating.
Speaker 2 (09:56):
They had invented their own language.
Speaker 1 (09:57):
They had invented their own math.
Speaker 2 (09:59):
They had invented their own entire way of
interpreting input output divide.
They had become so foreign fromwhat we perceive as our reality
that the only way we could dealwith them was to turn off the
machine.
We could not communicate withthem anymore.
And imagine if, if you canoperate as fast as humanly
possible mentally, the humanlanguage is terrible.
Speaker 1 (10:18):
Yeah, it's a horrible way to communicate.
It is.
You're exactly right and that'swhere they were at it's slow,
so it's very slow.
Speaker 2 (10:23):
They replaced it.
Speaker 1 (10:26):
And you know computers, in the past I, I
programmers, always said it was,it was uh, when this happens,
do this.
When this happens, do this.
When this happens, do this.
If, then if, then yeah, the if,then that was the.
That is not still happening, itis.
Speaker 2 (10:42):
I mean, look just on a much higher level Everything
is everything is everythingfinds parity.
Yeah, and we always see this intechnology.
Yeah, uh, you know, I rememberwhen, when laptops came out, the
PC was dead.
Speaker 1 (10:51):
People still have laptops are still around.
You know one right there.
Um, he's trying to say I'm oldfashioned.
Do you hear that?
Speaker 2 (10:58):
Oh you are, let's make a note of that.
Speaker 1 (11:00):
We all agree.
Yeah, but this is actuallyCommodore 64.
I don't know if you've everseen it before.
Speaker 2 (11:06):
See, I don't buy that , because I don't see you coding
.
Speaker 1 (11:07):
Yeah, no, there's no way I'm coding.
This is true, this is true, goahead.
Speaker 2 (11:10):
Sorry, um, but uh.
Ai is not going to replace allcoding.
So we're seeing it right now inthe coding world my coders do
it where they will ask an AI towrite snippets of code for them
and out of here, because theinternet still runs on PHP and
HTML and all those languages.
So AI is not in the process ofreplacing all technology.
What AI is in the process ofdoing is changing how we
(11:34):
interact with our data.
That's a very different thing.
We still have the old codinglanguages and we still have to
code in those, but the AI's canwrite that code for us, so
they're sitting above thosetraditional.
If, thens, what they're doingis they are gathering,
interpreting and handing outresults on massive amounts of
input, and the real problemwe're going to run into is, as
(11:57):
these, as these AI's as theybecome more commonplace, we are
not going to be capable ofinteracting with what they're
doing.
So imagine oh interesting.
Imagine an AI that runs on thattakes care of the financial
markets and it interacts withthe stock market.
It is going to be working sofast that no human can possibly
keep up with the trades, andother companies will write other
(12:18):
AI's that will compete becauseeverybody's going to want to get
an edge.
So you're going to havebillions of micro trades
happening in millions of asecond.
The only way we even know whathappened during the day on the
financial market will be at theend, when we close it and we
look back, and even then,probably so much will happen
that we'll need AI's tointerpret the information from
the AI's, because it's happeningso fast.
Speaker 1 (12:36):
So much faster than us, right?
Because we just don't.
We don't do things that fast,we're not capable of that.
Speaker 2 (12:41):
That's why we build them.
It's efficiency Wow.
But it will outpace us ineverything.
And I actually, in one speech Iasked the audience.
I said give me an industry thatwon't be affected by AI in the
next 20 years.
And some guy thought he got meand he said garbage men.
And I said that's a great point, it's already happening.
And he said what do you mean?
And I said there are alreadyautomated garbage trucks,
self-driving, using Elon Musktechnology, that have our tied
(13:05):
into a network of trash cans,that have sensors in them and
solar panels that when they get80% full, they notify the
garbage truck Amazing.
And the machine it dumps it.
It even goes to the dump on itsown, no humans involved.
Yeah, the AI is basicallytaking care of all of it.
I said so, no, give me anotherone.
Speaker 1 (13:19):
It's everywhere, it's everywhere.
Speaker 2 (13:21):
And it will affect every single industry.
Speaker 1 (13:22):
Yeah, but will it make us?
Does that make us better?
Then, you know, that's thething, and the place that I
think is the big bonus is in themedical field.
Yes, I think that the fact thatit takes, how long it takes us
to grow something in a Petridish, try this thing, try that
thing, try this thing, look atthe reaction, did it work, did
(13:45):
it not work.
You know, just imagine if wecould speed that up.
Like I think about cysticfibrosis, just because I was
very involved for many years andwhen we first started cystic
fibrosis study or doing that,that, the Gala, the average age
of a kid that had it or somebodyhad that, was like 27 years old
, 28 years old by the time westopped, 19 years later doing
(14:07):
that gala.
The average age now for most ofthem is almost regular
expectancy up to into the 70s.
And that's because they foundthe gene and they found it
faster than they thought theywould.
And then they found medicinethat you could take to fight
that problem.
Imagine if we had computersthat could have done that faster
(14:30):
than the five years.
How many lives would have beensaved.
Speaker 2 (14:34):
Well, healthcare is a great industry.
To look at that, look atastronomy.
Oh yeah true, and you've got anAI real time taking in every
single piece of data from everysingle radio telescope, every
single space telescope, everysingle listening station and
simultaneously processing all ofthat and remap and changing our
models.
Oh my God, I mean it'll changeovernight and we won't even
(14:54):
understand why.
What terrifies me is themilitary.
Yeah, because, theoretically,once AIs are running everything
because once you introduce AIsin the military, you're gonna
have to have AIs to combat AIsyou could have an entire war
fought and we wouldn't even knowwhy.
Speaker 1 (15:06):
Yeah, and it could be just shutting us down.
I mean, the AIs could be.
It might not be any bullets orany bombs, it could just be we
just shut down your city or yourcountry.
You have no electric now, youhave no gas grid, you have
nothing.
Speaker 2 (15:20):
You know, that's the part that could be ugly, because
everything's run throughcomputers, and I think part of
that and what we're not lookingat this is the real scary part
is how we're treating AI.
You've got a million differentpeople developing a million
different AIs.
There's no guardrails on thisthing and the problem is they
are like children.
The input we put into themdictates the output we get, and
at no point are these developerslike.
(15:41):
I work with IT guys.
I hire them.
These are not guys that areworried about adding morals and
ethics to their code.
That's not their thing.
They're worried about results.
Speaker 1 (15:49):
Yeah, so what we put in there.
They even said, like the guythat was listening to you said,
even when you look at like aTwitter feed or now it's called
X the Twitter feed you see,let's use Donald Trump when he
would put something up and thenthere would be all this hate
stuff and then there would bestuff that was good and people
really support him and there wasmore hate stuff under that.
He said the guy that was onthat podcast said that we are
(16:11):
teaching the machines hate, yes,and we're teaching them that we
don't get along as people, andthat's not good.
It's not good at all.
And that's the part he said ifwe have to be careful what we
put out there, what we put intothese machines, because they're
learning from us and they caneither learn good or bad.
Speaker 2 (16:30):
Well, let me ask you this Do you let your kids at the
age of five just roam theinternet freely without any
guardrails?
Absolutely not, then why are weteaching RIAs that way?
That's exactly right.
I mean, we teach them in asmall environment, controlled
with the ethics and the valuesthat we appreciate, and we
expand it as they get it, andthat's really how you have to
train AIs, and we won't take thetime because it was profit to
be made, exactly, and there'scompetitions between governments
and all these things will comein the way and I don't know
(16:52):
where that lands.
Speaker 1 (16:53):
Yeah, and the analogy I heard also was you know the
Superman, obviously the comicbook Superman.
He comes down from his you knowplanet or whatever comes down
on earth.
He's a baby and they find himin the barn.
The Kent's, clark Kent'sparents are good people.
They're farmers, they're goodearth.
You know good people.
(17:13):
They have good morals, theyhave good ethics, all this stuff
.
If Superman would have landedin the wrong barn and they were
evil people I know some of thosebarns.
Yeah, I think so too.
So do I.
So do I?
Were you born in one of those?
I'm just trying to just nocomment.
Speaker 2 (17:30):
No comment.
I did talk to your dad once.
He's just gone off the rails.
Speaker 1 (17:33):
So no so, but it's just interesting.
In that, that analogy wasreally good.
The AI is Superman.
Okay, the only reason he didgood things is because he was
raised by good people.
We need to do the same for AI.
Speaker 2 (17:46):
Well then, we take our ethics for granted a little
bit too, which I think we needto take a step back from.
For example, I was trying tohelp my daughter understand why
murder is bad.
Yeah, and she's like, well, itjust is.
And I said, no, it's not.
If you look, there's a ton ofcultures in this world where
it's okay to murder.
Yeah, depending on thesituation and everything else,
murder is fine.
I said we have dictated thatmurder is not and you need to
(18:07):
understand why, or else how willyou ever understand your own
moral code?
It's good stuff and it'simportant, and it's important
for this conversation.
Yeah, we've made some messed upAIs?
Speaker 1 (18:16):
Yeah Well, that's the problem and that's the thing.
So they're only going to havethe ethics and morals, that of
the people that are programmingthem, or the input that we no,
not the program, the input.
Speaker 2 (18:27):
Yes, it's the input the input that we put in.
So if we set them loose on aReddit, a Reddit meme page,
they're going to end up beingreally messed up.
But if we I don't know, I meanI don't know where, yet I don't
know.
Speaker 1 (18:39):
That's the problem.
Think about it.
Where do we send them to getgood stuff?
Speaker 2 (18:43):
I don't know where I go to get good stuff Like it's
hard to find anymore.
It's amazing, right?
I think we should just takethem to the bar.
Everybody's having a great timeat the bar.
Speaker 1 (18:52):
AI, ai bars.
There you go AI bars, just forthem, alcoholic AIs.
So before we end this up here,I mean this is great topics and
we're going to keep it going alittle bit longer than we
normally do.
But let's go back into some ofthe questions that I had was can
they replace humans?
Absolutely.
Speaker 2 (19:08):
Absolutely One of the convergence points that we're
going to see and they call it aconfidence and one of these
points is going to be when AI isone able to self-code.
Once it can write its own code,that's going to be a big moment
.
Two, when it can self-replicate.
And three is when it controlphysical bodies, which we're
already seeing that trash truckexample.
(19:30):
It's not a humanoid body butit's controlling truck.
Speaker 1 (19:32):
It's controlling.
Yeah, it's a mechanical thing.
Speaker 2 (19:35):
And if you're looking at what Boston Dynamics and
some of these other roboticscompanies are doing is, you are
seeing the confluence happen inreal time.
You're seeing the robotics takeleaps forward in the last 10
years while we're simultaneouslyseeing machine learning take
leaps forward and they are goingto smash together, I would
guess, probably in the next 10years, maybe even in the next
five.
Speaker 1 (19:52):
Yeah, I'm seeing some of the robots with the facial,
the actual faces that they haveon them.
They look like human.
I mean, it's not like it usedto be.
They look like human beings.
The faces move, the eyebrows goand everything else.
So you match that with theintelligence of AI, with the
mechanical.
That's gonna be prettyinteresting and it will happen.
Oh, it will happen.
(20:12):
Oh, I agree, and I thinkthat'll be within my lifetime.
I'll see that.
Speaker 2 (20:15):
Oh, definitely.
Speaker 1 (20:16):
Yeah, don't say no.
It's like nah, I'm not seeingthat for you at all.
Let's ask the A-ball.
Speaker 2 (20:22):
Don't ask the A-ball.
Don't ask the A-ball, don'twanna know, don't wanna know.
Speaker 1 (20:26):
And then the other thing I heard on the other
podcast too is that right nowthe guy had said that AI is at a
basically the same IQ asEinstein.
Yeah, and they said it'smultiplying like crazy.
So is it gonna?
I mean, if they're alreadysmarter than us?
Speaker 2 (20:43):
No, I mean, that's a flawed analogy.
I mean there's really an IQwith AI.
Okay, again back to its abilityto compute.
Comes down to how much power wegive it.
Gotcha, it has access to allthe knowledge of the world.
No human has that.
So the comparison is not aptbetween any one human, or even
any one group of humans, and AI,because it has access to
(21:05):
everything.
You see that with chat, gpt, goask it questions, it can pull
up stuff that you can't evenimagine.
Oh, it's Google, because it'sread the internet.
Yeah, what we're really lookingat here is not so much an IQ
test as much as an ability toperform human functions, which
we are seeing.
I mean, it was 10 years ago.
I remember reading an articlesaying AI's will never be able
to create art.
They're creating art right now.
(21:25):
We actually have some of themost popular artists on the
internet, or AI artist.
Amazing, there are AI's thatfunction exclusively on social
media.
In fact, pepe the Frog is acomplete AI account that
interacts all over social media.
Look him up on X Twitterwhatever you want to call it but
yeah.
I follow Pepe.
He was a meme coin, NFT that isnow run by AI, completely
(21:45):
independent.
No humans interact with Pepe.
Wow, no humans control Pepe.
Pepe interacts with all thehumans Jeez.
So these things are real andthey have already exceeded.
Like I remember watching StarTrek and thinking Lieutenant
Commander Data was the epitomeof AI.
It's already baloney because henever had emotion.
They've already had emotionalAI's.
That's amazing.
They've had funny AI's.
Speaker 1 (22:06):
That's crazy.
They're not hysterical, rightright, bill Burr funny, but
they're pretty good, not asfunny as you, not as funny.
Speaker 2 (22:11):
I mean, I'm great, you're pretty funny, I'm kind of
the best.
Speaker 1 (22:14):
Yeah, you're one of the better.
Speaker 2 (22:15):
But like second behind me, yeah, behind you, got
you, yeah, yeah.
Speaker 1 (22:19):
And then Sebastian Mendes Calco.
Speaker 2 (22:21):
We've got to that right.
Those three in that order.
Speaker 1 (22:23):
Yeah, those three in that order Craig, ai, sebastian.
Ok, got it Sounds, right.
Speaker 2 (22:27):
Yeah, very good, so amazing, yeah, so it's weird.
It is.
There's a lot of weird stuffhappening and we don't.
What that shows is we don'tknow where it's going.
Yeah, we really don't.
We didn't know 10 years ago, wedidn't know 30 years ago.
We don't really know.
I see stuff from a year agothat's already been proven
untrue Amazing.
So this is going to be.
This is going to be a learningexperience and it's going to be
a real time learning experience.
Speaker 1 (22:47):
We're going to school .
Hard knocks, it's.
It's a main, hugo.
Do you have any questions oranything?
Speaker 2 (22:51):
No, but I wonder if Craig himself is an augmentation
sitting right there across fromyou.
Speaker 1 (22:57):
So you're wondering if he's actually a robot.
Is that you're saying?
Speaker 2 (23:00):
maybe the real Craig is sitting at home drinking a
beer.
Speaker 1 (23:03):
I ask you would do it .
He kind of did lead to that.
Maybe that's what's going on.
Speaker 2 (23:09):
I love how, every time you talk about me, I'm
drinking a beer.
In your mind I have a majorproblem.
Speaker 1 (23:16):
That's pretty funny there was something we never.
Speaker 2 (23:18):
If do we have time, yeah, go ahead.
We never finished the thingwith the school, which is yes,
yes, yes.
Speaker 1 (23:22):
Very yeah, that.
That is the.
That is one of the oneseducation.
We definitely want to coverthis.
So my thing with that is thathigh school person high school
started needs to write a termpaper.
What's to stop them withputting in a couple of things
and it writes the whole day?
Don't stop them.
Speaker 2 (23:36):
Encourage it, why they're gonna grow up in an AI
world.
This generation is going togrow up with AI.
If you try to stop it, you'retrying to fight progress.
What you need to do is changeyour educational standards, so
it's no longer about writingterm papers.
Now what it's about is presentyour term paper, got it.
You can use AI to write it.
Speaker 1 (23:52):
I don't get an example Greg.
Speaker 2 (23:54):
Well, what do you mean with that?
Speaker 1 (23:55):
like percent, so all right.
Speaker 2 (23:57):
So, for example, you, you want your students to write
a term paper on a classicalhistorical society and some kids
Rome and says I'll do it onRome.
Well, they can have AI writethem a five-page term paper on
the history of Rome and that's apiece cake of taking five
seconds.
But If they have to go stand infront of the class and do a
presentation on what they'velearned, that's different.
Now, that term paper that Iwrote for them is only a study
(24:19):
guide.
They have to understand thecontent and be able to Bring
suit to be able to regurgitateit.
Speaker 1 (24:25):
So I think you're gonna have.
Speaker 2 (24:26):
You're gonna have to have a lot more involvement from
the students.
Speaker 1 (24:28):
It can't be just that you know, just handing in a
paper, you can't the teacherreads it and goes wow, this is
amazing now what you?
You're gonna have access toinformation on a parallel level,
so you have to step it up anotch and you have to be able to
feed it back in a method that'suseful to you.
I like that I like that.
Speaker 2 (24:41):
So we need to shift our process on how we feed this
information into our kids.
Interesting, can't hide from it.
Speaker 1 (24:47):
I'm glad you said that because you just put a
whole new Way of looking at that, because at first I was like,
yeah, how do you control this?
How I mean used to be a little.
You know, plagiarizing was athing years ago, you know or not
.
Years ago, always is, and youknow, that's what I thought of.
But that's not plagiarizingwhen you do the GPT, that's
that's it's original content.
Yep, so very interesting.
(25:07):
I like the way that that went.
So one of the thing before weend up I want to ask you is what
do we do as a regular person?
You know we're not, we don'tfight it.
You can't fight this, it'shappening.
What?
What do we do?
We just sit back and watch ithappen.
I guess right.
Speaker 2 (25:22):
Well, I think, as with everything else in this
world, if you're not directlyinvolved, your responsibility is
to understand gotcha.
I mean, you can have apolitical.
If you have a political opinionand you don't understand what
you're saying, you're part ofthe problem.
And if you have an opinion onanything and you don't
understand what you're saying,you're part of the problem.
Yep, do some research andunderstand what's happening
around you.
We you know, at the end of theday, this thing is gonna play
(25:42):
out the way it's gonna play out,yep, and I don't think fear is
the right response.
Speaker 1 (25:45):
Yeah, no, it never is , because it actually fears not.
It's the worst response.
Exactly, it's educate yourselfand then you.
Then you can make a decision onwhether you're supporting part
of it, you are support, you'renot supporting part of it, or
whatever.
Speaker 2 (25:57):
But either way, it's good, things are gonna happen,
absolutely you can't stoptechnology but if you're aware
of it, you know there's a lot ofopportunity here.
Speaker 1 (26:04):
I love the bio it wrote for me.
I seriously do.
I would hire me too in a secondwhen I read.
That done, I think I might be aCEO of IBM soon.
Speaker 2 (26:13):
We'll just tell chat.
If you need to add that to yourbody, I'm gonna put that on
there.
Speaker 1 (26:17):
The CEO and there you go and now I am.
All you do is put it in and itjust it tells you that's what
you are.
I love it.
That's great.
All right, thanks for coming in, craig.
I appreciate it very much.
Craig Stonehall, from laughingrock technologies, you do a
great job every day.
You help out our office here.
We love that, and Thanks forgiving us all this information
about AI.
Man, I love it.
Speaker 2 (26:35):
Thank you, brad, it was a pleasure.
Speaker 1 (26:37):
Good stuff, man, good stuff.
All right, there you have it.
We will see you next Thursdayat 7 pm.
All right, thank you so much.
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