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My name is Mr Benja, and I come up with ideas about art, design, and development. This podcast is helping me do something productive with these ideas.
All right.
All right.
We are back for another week
of AMP discussions here on
the AMP platform by Amazon.
This is actually pretty cool.
Glad this thing came around.
Glad you guys are here for it.
Listen, my name is Mr.
Benja.
I'm a former video game developer,
programmer, uh, consultant.
I've done design, I've done fine
art, and I've done a little bit of
production art, but not too much of that.
Most of my work in the game industry
was in design and programming, so
that's what I'm gonna be talking
about from today because one subject
that's been on everyone's mind
and everyone's been talking about
is the rise of the AI overlords.
How is this AI thing
gonna change everything?
Will it change everything?
What's it already done?
Are we losing our humanity?
Dystopian future utopian future?
We're not totally sure.
We never really are with these things,
but there's some key differences with AI
that I want to get into later in the show
that make it different from every other
technological advance that we've had.
So, we're gonna talk about that.
We're gonna discuss some things.
As always, please, uh, definitely follow
along, uh, share the show if you'd like to
get some other people's opinions in on it.
We'll talk about what we're, what
we're thinking, what we're seeing
in our, our side of the world,
our side of the, the planet, the,
the cyberspace, meta universal
ecosystem, whatever you wanna call it.
But, I just want to thank
everybody for following along.
Um, last week we started this thing up
kind of in force and I decided to go ahead
and double down on this, this AMP thing.
Um, definitely liking it over
here, meeting a lot of cool people.
It's still a young platform, but
I'm gonna go ahead and rock with it.
And if you're here on live, uh, go
ahead and throw me a hi in the chat.
I want to wanna see who's
around, see who's doing whatever.
And, uh, you know, as we go
through, I'll definitely be able
to integrate your comments into,
into what I'm discussing today.
So the way this goes is, I, I've
always had my podcast on, on other
platforms and trying it here in a
radio show format is what I'm gonna do
for, for, I don't know, I don't know.
I'm, I said I would try
this out for a month.
I really like Amp, so even if I
don't do my podcast as I'm doing
it now, then I'm going to still be
showing up and playing music here.
So don't worry about me
leaving on you like that.
But I'll be, um, I'll be in the spot
just depending on how I, how I feel about
the platform and the response I get.
That's how I'm gonna go forward.
Anyway, some updates.
We, we just put out the
Spider verse show and the.
The Apple Vision Pro Show,
those are now released.
, some really good discussions
came out of that.
And I'm wondering if I should
lean more into a tech angle.
I think that's, that's
kind of working for me.
People are digging that.
We'll have more discussions on that end
and, you know, we'll keep some more of
the, I still want to keep my thoughtful
Thursdays going on, but this Thursday
I'm gonna have my Father's Day show,
so that should be an interesting one.
Uh, my father was an artist who really put
me on the visual arts and got me in, in
the direction of thanking creatively and
making big moves in the, in the art space.
Showed me the art world, showed me
through museums, things like that.
We'll get into that all in the, all in
the Friday, I mean the Thursday show,
and that'll be my, my Father's Day show.
So join him for that if you can.
All right.
So yes, this is, this is the a d d
experience where we use the power of art,
design, and development to create a better
world for us and those that we care about.
I'm your host, Mr.
Benja, former video game
developer and lifelong creator.
Wanna personally thank you for creating
good things in this world, and if you
haven't done so, go ahead and drop a
comment or a like, while you're here,
let me know what you're thinking about
and to make sure I'm not lost in mix.
Go ahead and subscribe and share.
That was the intro I was supposed
to say at the very beginning instead
of that chatter I said before.
So go ahead and I apologize for that.
Anyway, uh, what else is going on?
Also, show versus
business is going strong.
That is my, my business and, uh,
creative podcast that I do with my
old college friend, Theo Harvey.
You can find that it show versus
business on all the platforms as well.
That's, um, that's more along the
lines of the intersection of the.
The money side of things with the
creative side of things in popular media.
So every week we come
together with the show.
We do five little segments on that
show and get into a lot of the back
and forth and the behind the scenes
and how things work in those two.
And there's always seems to be the
struggle between the show side of
things and the business side of things.
In fact, I'm having that struggle
right now with, uh, this podcast.
You know, I just want to do the
show side, but then the business
side and the marketing side, sales
and branding comes in and asks you
to do things on the other side.
So there's always this back
and forth that you're gonna get
with, uh, show and business.
And that's what I'm gonna be, um,
that, that comes along every week.
So that's a totally separate podcast,
but be sure to check that out if
you're into that sort of thing.
And yes.
So for today's show, rise of
the AI overlords, we're gonna be
discussing a little bit about.
Uh, going over very quickly on some of
the mis misperceptions or misconceptions
of artificial intelligence and ai.
Um, talk about how it's gonna affect
these different industries that we've,
we've really not expected AI and
automation to impact the way it, it's,
uh, expected to do in the future.
And we're gonna just get into a
little bit of humanity and creativity,
because at the end of the day, we
don't just want to be as humans.
We don't just want to be auto automatons.
We don't just want to be cogs
in this big machine system.
So what are we gonna do about it?
What are we going to, what are we gonna
position ourselves for and what are
we going to do about it in the future?
And, and can we coexist peacefully
with this technology that
seems to be running on its own?
I'm not totally sure the
world isn't totally sure.
But we're gonna talk about it
and I hope that the information
I give you is gonna be valuable.
And I'll probably be discussing an area
that you have famili familiarity with,
and maybe you'll get some insight.
Maybe you'll show me some insight.
Uh, leave it in the chat if you,
if you've got something to share
that I should be aware of or
that we can discuss on the show.
As I said, uh, we're gonna go
through the meat of this then.
Some questions, some q and a
as always, I'll get in the get
with the chat as we go along.
But for now, let's get into this thing
called ai Artificial intelligence.
One of the most confusing, one of
the most often misunderstood, one of
the most potent possibly technologies
to ever touch the human race.
And I, I mean that with all
seriousness, I mean, we're talking
about a major global change possibly.
I mean, there, there have
been a couple, right?
But this is gonna be
one of the major ones.
So what exactly is ai?
Well, there's a, there's a common
definition that everybody has in
their head, and then there's a more
academic, more technical definition.
So let's go with the
common definition first.
And this is kind of what
people will tell you.
When you ask them what do they think AI is
and they think, Hey, oh, well AI is when
a computer can think, basically it's, it's
talking, behaving, acting like a human.
It's just, it's alive.
It's doing intelligent things.
And we have this idea of int
intelligence as I'm smart, I can
talk, I can think I'm intelligent.
So when a computer can do kind
of what I can do, then we'll
call a computer intelligent.
Okay.
That's a, that's a fair definition.
It's, it's fine.
And as I said, it's the, it's
the commonplace definition
that everybody will give you.
So when you hear someone talking
about ai, they immediately start
thinking of an actual living being.
So when you're talking to your, like
we, we've talked about Siri before,
Siri, Cortana, you know, the hey
Google feature and all that, uh, Alexa.
And these are interfaces.
That's not really artificial intelligence
yet, in fact, Um, well, let me go ahead
and give the more technical definition.
And the more academic and technical
definition would be an, uh, a, a
programmed, a computerized system that
can use intel that it has gathered to
consider, think through, make decisions
and respond in ways similar to a human.
So that would be artificial intelligence
in the more technical sense.
How is that different from
the commonplace definition?
Well, it starts to get into what
com, what artificial intelligence
is not, and that's very important to
put forth and make a distinction of.
So artificial intelligence
is not necessarily robotics.
We're not necessarily talking about actual
physical robots with gears, arms, legs,
walking through the world, taking over.
Yes, there was the movie ai,
which had a young robotic kid.
Um, which is a very
excellent movie, by the way.
If you haven't seen it, I'll put
a link to it in the show notes.
You can check that out later.
But it's not necessarily robotics.
All you need is the computation to satisfy
the artificial intelligence part of it.
So as long as you have an interface and
you can, uh, speak with reason, with play
with, interact with in some way, then
you could have artificial intelligence.
So it doesn't necessarily need a, a
robotic body that that'll come later.
And robotics is another discussion.
If you want me to talk about
that, let me know on the comments
and we may get around to it.
Also, it's not automation, so a
lot of people are confusing this
with automation or basically doing
what we already do just faster.
Like someone I was talking to said
they, well, yeah, it's basically
just an advanced version of search.
And I said, ah, not exactly because
it's doing a bit of thinking.
In general, AI is doing thinking that
is not limited to simply automation.
Automation is, you know, repeating a
task over and over, doing it a lot, and
being able to make decisions based on
some, some calculation or something.
So it's, it's an automated process.
Like when you press a bunch
of buttons on a phone, it
automatically calls some other thing.
It's not thinking about it, it's
just an automated process, right.
That's automation and artificial
intelligence isn't, it's a little
more also than calculation.
Now we have calculators, right?
That where we can just type in
some numbers and say, this time's
this, gimme the square root.
Give me the, you know, the integral,
uh, or of this, um, give me the, the,
the limit and the, you know, start doing
some polynomial factoring and all this.
That's just calculation, basically
mathematic, when you put numbers in,
they go into specific places and a
specific answer comes out the other
side, that's computation and calculation.
We've already got that.
We've, we've made it that far already.
So this is more than just automation,
more than just simple calculation.
And also there's lookup.
Now a lot of you may who are
familiar with video games.
You know, you may think, well,
the computer's obviously thinking,
it's obviously, you know, doing,
doing a lot of complex things.
I, I play strategy games, I play play
chess, I play all these other games.
And the computer's obviously intelligent.
Yes.
But there's one factor that's missing out
of there that we'll get to in a second.
A lot of these systems are
just doing lookups, basically.
They've taken a lot of data,
a lot of past information.
In the case of chess, it was a
lot of chess games, uh, previously
played games, previous situations,
and they're basically looking up.
In all these tables what to do.
So I, you probably remember your times
tables from school where they had the
big chart that they'd show you, you know,
with the, the one through 10 on the top
and the one through 10 on the left side.
And you would see all the numbers in
between when you multiply them together.
So you'd have your five times
nine, you look up the five, you
look up the nine, you see 45.
Boom.
That's a lookup.
And a lot of video games use extremely
complex versions of lookups to do
calculation, I mean to, uh, proceed
to be perceived as intelligent.
So it's basically just
looking up a bunch of factors.
Let's say you're playing a
football game, uh, you know you're
playing Madden or something.
What it does, it says, well, it's
gonna look in this table and say,
Hey, I'm down by this many points.
The lookup table says I should
probably kick a field gold.
And it may roll the dice or whatever
and use a probability table, not just
a straight number table, but oh, or
even better if you've played Dungeons
and Dragons or, or you know, the
Marvel superheroes, um, game by tsr.
You know, those use those use lookup
tables where you basically roll the
dice and you see if you o go over this
number, you've done a critical hit.
If you've gone this
far, you've done a miss.
Um, if you hit this number,
you need a re-roll, et cetera.
These are basically just look up tables.
So this is how artificial intelligence
has been presented before where it's not
really doing the artificial intelligence
thing, but it's good enough to say,
Hey, the computer's doing smart things
because it just beat me in chess.
It just beat me at Madden.
And all it's using is lookup tables.
So one other thing that people try
to get off on you and say computers
aren't really intelligent is when
they say they use algorithms.
And you obviously heard alg, the
out term algorithm in terms of how.
How the social media networks are using
them to define what we see and how things
are fed to us in their, in their systems.
So when you have an algorithm, you're
looking at a series of processes,
steps, and decisions used to make a
final used to come to a final answer.
So it, that differs from a formula,
which is basically you're just plugging
in numbers and running math on it.
With an algorithm you can do, it's a
lot more general and generic where you
can look up, you can go through and say,
Hey, well, if I see somebody who's over
this age and they've looked at this many
profiles and they've also clicked on an ad
five times, then I'll serve them this ad.
But if they've already seen the ad two
times already, go and get them a different
ad that they've never seen before.
That's a series of steps and
not necessarily a formula.
If you catch the difference there.
So if you go look up something like,
uh, like when you're giving someone
directions to the mall, you don't give
them a formula to get to the mall.
You're like, Hey, listen,
you're gonna take a right at the
intersection, go down about five
streets and you'll see a McDonald's.
After you pass the McDonald's, stay
in your right lane and you'll see
the exit, get off the exit, go down
the highway, and then you'll see the
signs for the mall get off there if
there's too much traffic, drive around
the back and park there, whatever.
It's just a series of steps with
variable choices along the way.
Those are algorithms.
And algorithms can kind of behave like
intelligence because you're like, oh,
well this thing is doing interesting
things and I'm following along.
It seems like it's smart.
Yes, it can seem that way, but it's
kind of just following, um, a pattern
and some of your previous information.
So where does artificial
intelligence that we're looking at
now, where does it get different?
So now we have to look at the actual
definition of artificial intelligence
and why this era is different.
First of all, you have a
fundamental difference in scale.
Before, when you were looking
at algorithms, when you were
looking at processes and lookup
tables, you were dealing with
relatively small amounts of data.
Now, what these systems are doing is
using something called large language mo.
Uh, well, one of the things they're
looking at is large language
models, but they're looking at
these hu very, very huge data sets.
I'm talking about gigabytes of just text.
And if you know how much text
information takes up on your
hard drive, it's minuscule.
So to have gigabytes of text
sitting around is crazy.
They're using these huge,
huge stores of data, of text.
To be able to learn from.
That's the first part of it,
that they have huge basis of
information to learn from.
Now, the second part of that I
mentioned was the learning part of it.
And this is where intelligence comes
in at, because the actual meaning of
the word intelligence relies on intel.
You have to have that data,
that information to look at and
learn from, just like humans do.
Humans look at things and
they actually learn from it.
And this is where the
difference is coming in.
And this gets called
machine learning, right?
So now that you're, you've got
these huge systems going through all
this data and they're learning, so
what do you mean they're learning?
So a computer doesn't know the
difference between a picture of
a cat and a picture of a dog.
What it does know is that if you give
it a stack of pictures and say, yes,
these are all cats, and a stack of
pictures and say, these are all dogs.
The computer has to go through it somehow
and start figuring out what is what.
So it starts looking at, okay, well there
are orange cats over here, but there are
also some dogs that look kind of orange.
Hold on, I'm trying to
figure this out now.
You know, humans have very advanced
and highly evolved processes for
figuring out what things are different
and how to categorize, and we can
easily adjust to new information.
Like, oh sure, that's a cat.
And yeah, they have fur and,
oh wait, there's a furus cat.
Okay, well a couple of 'em
have no, no fur on 'em.
So they're skinless cats, whatever.
Still a cat.
Why it meows?
Okay, sure.
And humans have a very easy
way of figuring this out.
Computers on the other hand
are doing something different.
They're, they're just trying to
go through and figure out, In
whatever ways are available to them.
They don't have the context of
animals, they don't have the context
necessarily of, you know, fur and touch.
They're just looking at imagery or
they're just listening to sounds, or
they're just looking at bits of data.
They don't have this rich thing we call
the five senses or context or discussions.
So yes, now we have computers that
are taking all this data that we've
amassed and they're learning from it.
And this is why the technology's coming
around now because before we didn't
have these huge storage areas of data.
We only had, you know, I mean
relatively small amounts of data
here and there that we could use.
Now we've got people adding ginormous
amounts of data to the internet every day,
and it's just feeding into the system.
So now the systems are actually learning.
So yes, you've got a
fundamental difference of scale.
You've got the fact that they're
learning, and here's another
reason why they're different,
that you may not have thought of.
There is no physical boundary.
With all the other releases in
technology, there was a physical boundary.
So even though you could make a tire a
wheel, you were still kind of limited
to the, the wheel needs to be built, you
need to have the rubber made, or depending
on what type of wheel it is, you know,
um, you know, maybe a metal wheel if
you're talking about a train or whatever.
But there was still a physical
barrier to what that wheel could do.
And even if you could make an awesome
wheel, you still have to have the
machine sitting on top of it to be
able to make the wheel interesting.
So there were all these physical
limitations, like, well, I
can, I can develop a wheel.
It's like, yeah, we don't have roads.
It's like, all right.
Well now we got roads.
Yeah.
They don't go everywhere and you
know, still kind of bumpy and, uh,
the wheels, wheels break and there
are all these physical limitations,
so that slowed technology down.
We don't have so many of those
technological limitations anymore
because there is no physical boundary.
The computer is just evolving on its
own within the space of its own medium,
which is the internet or whatever large
network of computers you're talking about.
And we're barely starting
to tap into what it can do.
In fact, we're holding it back
because we're not quite sure what
it's going to do if unleashed.
We have to keep this stuff at bay.
We have to keep the technology under
control, under close supervision because
yes, these things can go outta control
and start doing things that we don't
necessarily intend for them to do.
I'm not, not gonna get into a.
A doomsday scenario.
That's not what I'm here for, but
I do want to let you know that is a
concern and a thought, not just from
Elon Musker, uh, the head of the head
of OpenAI, the company behind chat.
G p t is also Sam Altman.
He's also been very concerned, has now
been talking to governments and large
institutions about how we can make
sure this AI thing works with us and
for us, not against us and over us.
Also, one other thing that makes
this different is the fact that
you don't need to wait on humans.
Now, I kind of mentioned that with
there's no physical boundary, but you
don't need to wait on us like we were
actually holding computers back in
terms terms of the technology back in
terms of the physical nature of it,
where before if you wanted like a new
version of a wheel, You'd have to have
somebody, some actual person go and
figure out that next version of the wheel.
Or, you know, maybe wheel's.
A little bit of a, an easy example,
uh, or too simple of an example,
let's say nuclear technology.
We had to actually have people
go in the room and decide that
they wanted to make the next
version of the nuclear technology.
And then of course, we bump into
all those physical limitations.
Again, we don't know what we're doing.
There's safety concerns,
et cetera, et cetera.
We need a, you know, a huge
research facility that's very safe.
And so there's all this money
poured into building this structure
just so we can test something out.
There's a lot of physical and
social limitations, but humans
were holding things back.
So now if I just put this thing in
a computer and say, Hey, I need you
to run this, run this artificial
intelligence learning module.
Let me know what you come up with
when I get back in a couple days.
No telling what it's gonna come up with.
So this is why we're looking at
something different right here.
And that's what some of what's
making it crazy right now.
So that also separates it from the
commonplace idea of, you know, oh, it's
just a computer, just a calculation.
It's just artificial intelligence.
That's what we're dealing with.
And the machine learning part of it,
once again, is being able to teach
a system how to, how to learn, have
it learn on its own given data.
So it's not just having data and learning,
it's starting to make its own conclusions.
It's starting to say, you know what?
I looked at this information over here
and looked at this information over
here, and I'm starting to see a parallel.
Maybe I'll put that
information off to the side.
It may come in useful later.
Now what about these two
pieces of information?
I'm looking at all my, I'm
looking at all the people under.
Under, uh, under on Facebook.
Okay.
These people all subscribe to
this guy and these other people
all subscribe to this person.
Maybe there's some information here.
Maybe there's a schism between these
groups of people that I should look into.
It may be a political
thing, maybe a social thing.
It may be a just an interest thing,
but the computer is starting to look
at all these different pieces of
information and variable, and it's
starting to make its own conclusions.
That is the learning part.
Now, back to calculations.
This is more than just
statistical analysis.
This is the computer actually
starting to do things on its own.
And yes, there's a version of
supervised and unsupervised learning
and deep learning, but for the
sake of this discussion, we're not
gonna get into all of that unless
of course you have some questions
that you want to throw in the chat.
So those are the differences,
and that's where we're, that's
where we're, we're at right now.
We're in the, we're in this era of a new.
System of machine learning.
That's the, the key word if you ever
wanna throw it out there, is we have
systems now that are capable and already
enacting machine learning at scale, at
levels that are fundamentally different
and meaningful than they were in the past.
So now we're gonna see all these
companies get involved, all these
institutions starting to make plays.
And that's what I'll get into in
a little bit on the next segment.
When I'm thinking about AI and
this computer stuff, it moves very
quickly and it moves without you.
As soon as you get a, get a good
technology under your belt, it seems like
it's being replaced with something else,
and you have to learn something new.
Well, what I've come to learn is
there is no mastery of technology.
There is just keeping up to date.
Chat?
I think I may have gone out.
Let me know if you can still hear me.
Let me know how it's going for you.
All right.
We are back.
All right.
Little hiccup with, uh, with Amazon's amp.
But lemme tell you, Amazon is
listening to our conversations.
You should all know that.
And that's okay.
I mean, it's not okay, but they're
listening to so many conversations.
It's not, uh, they're probably not gonna
be able to pinpoint you for anything.
Anyway.
Hey, gypsy love.
Thanks for popping in.
Glad you're enjoying the talk.
So, yeah, here's where it
gets interesting, right?
I was just saying about Amazon, Alexa,
apple, we talked about them last week.
Google is doing big things with Bard.
You got open AI and chat, G P T.
You've got Dolly Mid Journey, you've
got HubSpot, Oracle, all these companies
putting huge amounts of money into ai.
Why?
It's the same thing as crypto.
Well, you know, crypto technology
still is actually valid.
It's just not that.
It's just that as a consumer product,
it's not really terribly useful.
But the actual technology of the
blockchain is still useful to
companies and is still in use.
So that may actually come
back into play later.
But point being, all these companies
are putting big money into ai.
Why is that?
Why would you want to put all this
money into artificial intelligence?
Why would you wanna put all this
money into what could be a fad?
Because it's not.
We have gotten a fun, as I said
before, this is a fundamental shift.
In how we are relating to these
devices, we're relating to
these ideas and these concepts.
Now, if you think back to when you
first got your iPhone, I don't know
how old a lot of you are, but the I
iPhone and the touchscreen era came
about when I was, when I was around
the whole, it's not like everybody
had a touchscreen in their pockets.
All of a sudden everybody had one.
Right?
So that was a major change.
And the first thing people were
saying when Apple released, I mean
cuz we had ideas about touchscreens.
They were around, but they
were kind of low quality.
They really didn't do what
they were supposed to do.
Nobody really took them seriously,
and buttons were just so much easier.
There was no big need to have a
screen until Apple came around
with the iPhone and was like, look,
how about a phone with no buttons?
And people said, you're crazy.
You're gonna tank this company.
How am I supposed to talk to
people if I have nothing to press?
You're stupid apple.
That's what they were saying.
Next thing you know, everybody's swiping,
touching, pinching, et cetera, on screens.
In fact, I've watched kids walk up to
pictures and start swiping, tapping and
like pinching to see if anything happens.
And that's just interesting.
I'm, that's, that's kind of
amazing that this is happening.
So now jump years forward, when we've got
this new technology of ai, people were
kind of confused on like, well, isn't
it just an advanced version of search?
Isn't it just a way to read, have the
internet read back to me and not exactly.
These companies wouldn't be.
Putting this much effort into it, if it
was just that, and lemme tell you why.
One reason is money very simply put,
you can save a whole lot of money, a
whole, you could save tens, hundreds
of millions of dollars by implementing
AI properly at your company.
Well, how do you say that?
Well, let's look at some jobs.
And people are always talking about
job loss and losing, losing their,
their position at a, at a company,
losing their, their livelihoods.
Everything they've worked so hard
to get all of a sudden is taken away
by AI because a computer can do it
better than you listen for most jobs.
No one needs that human touch.
And even if they do need that human
touch, what's gonna end up happening?
Is it, I mean, it's not like a, a computer
is going to necessarily take your job
wholesale, but suddenly somebody using ai.
Is going to be able to do the job of
10 people, so they won't need you.
They'll fire nine of you and
keep the one guy who knows
how to use AI on his computer.
So how does that work?
Well, the number one job
in America, Amaya Speaks.
How you doing?
Sorry.
When people throw out Benji, that reminds
me of my, my old aunt in New Orleans.
She was the only one that
called me Benji for some reason.
So that's why I made the comment.
But, uh, glad you're here, Amaya.
So, yeah, it's, it's not that AI is
gonna take your job, but somebody using
AI is going to make your job irrelevant.
Think about that one.
So, I'm just gonna go over a couple
ways that these companies are thinking
about implementing ai and one is
always, of course, to stay ahead and
become the leaders in this space.
But another reason is because
they're gonna save a lot of money.
Now the number one job in the
United States at least is, I
dunno, can you take a guess?
The most commonplace job, not
number one commonplace job, it's
cashiers slash customer service.
So when you, um, when you call in
somewhere and somebody picks up the
phone and answers customer service
when you go somewhere and ask them
to ring you up, that's a cashier.
These two jobs are something that
companies have been trying to get rid
of for the longest, and it keeps on
being cost prohibitive to do so easily.
It's like, yeah, kids get outta
outta school and they need a job.
They sign up, you just tell them, punch
some buttons and stand over there.
Boom, whatever.
They'll, they'll do the job.
Listen, companies think that's cute,
but they're not really into that.
It's not something they
want customer service.
So I dunno how many of you
have played with chat G p t?
If you've played with chat g p t
before, let me know in the chat and
let me know what you think of it.
But if you've played with chat g p t
before, you can ask it to pretend like
it's a, it's a phone service operator.
You can pretend, you can ask it to
pretend like it's a, a physics professor
and you can start asking it questions.
So if I used to have a tutoring,
a tutoring session with somebody,
why not just make an AI program
that tutors me in physics?
Like I come home and sit at my computer
and the physics professor pops up,
hi, I'm AI physics professor, would
you like to continue from yesterday?
It's like, sure.
All right, well yesterday you did
this, uh, you were a little slow with,
with the thermodynamic reactions.
Do you want to go over that again
or talk about something new?
And you can have a, the AI tutor.
You, you can get rid of tutors.
And I, I, I would call that maybe
a, maybe that's another category.
I, yeah, I won't put that in customer
service and cashiers, but I'll put
teaching at, at its own category.
But yeah.
Um, wing Stop.
That's another example.
Wing Stop is their stock price is going
going bananas right now because they're
implementing AI all over the place.
Every time there's a Super Bowl
or a big sporting event, the World
Cup or something, people are always
getting up, calling Wingstop, getting
on the phone and saying, Hey, I
need, I need a big case of wings.
I need with a tie.
I like the Thai sauce.
I want to make sure we have, uh, enough
of the regular buffalo wings I want.
And, you know, they start spouting
off their order, you know, before
they had some guy, some person on
the other end of the line listening
to you and writing it down.
Now with services like Alexa, Siri,
Cortana, they've been practicing what's
called natural language processing.
Being able to process the
natural way that people speak.
So now if I call into Wingstop, I
may just hear, Hey, how you doing?
I may not even realize that it's an ai.
If you've noticed any of these
phone, phone voices that you call in,
sometimes they don't even give you the
option of pressing numbers anymore.
They force you to listen to some
guy or try to talk to it, right?
It's crazy.
So the most commonplace job in
the United States and much of the
world is pretty much going away.
So that's one indication.
Lemme go to another one.
Um, the legal professions.
So a lot of, a lot of white collar jobs.
People thought they were safe.
Uh, let's go to the legal.
You know, in law, nobody wants
to read through all those books.
Nobody wants to look through
all those old case studies.
Nobody wants to actually sit down and
learn about, you know, landscaping
zoning laws for the state of California.
And you know what, if they move
to another state, they gotta
relearn all the landscaping laws.
It's, it's just tedious work.
Nobody, nobody cares.
I mean, you might be smart and
you may dress nice and hang out
with all the lawyers drinking
whiskey, but nobody cares.
You kind of just want to look
up the law and say, the law says
this, and go about your business.
So a lot of the people in the
law profession, you know, I'm not
talking about your head lawyers,
but you have a lot of support.
People in laws, paralegals, uh, legal
aids, legal assistance, a lot of websites
now with some lawyers sitting behind a
desk waiting on you to send them a form.
A lot of that can very easily go
away with artificial intelligence.
And I'll just speed through the rest
of these, so I won't waste time here.
But yeah, legal and law, you
know, I mean, think about your
government setting up a, a website
where you could ask law questions.
You can jump online and say,
Hey, is it illegal for my
neighbor to do this and that?
And, and then it might say, you
know, it's totally legal for them to
do this, but only from the hours of
10:00 AM to 8:00 PM and da, da, da.
That law is up for review next month.
Boom.
There you go.
Now you don't need to call a
lawyer and all this jazz you,
it's just, it's just easier.
Another one, uh, copywriting all
the stuff that you see written about
in, um, in ads, in newspapers, in
magazine articles, blogs, you know,
journalistic essays, things for.
For television shows, a lot of
this copywriting, not like the
scripted writing, but just the
copywriting of how to say something
to people that could easily go away.
In fact, most, if you look up any
marketing people who are using
ai, it's all over the place.
They're, they're getting rid of people
left and right, just so they can use
chat, G p t or some other system that's
come along that'll proofread, that'll
reorganize, that'll write emails for you.
Say, Hey, I want to you, you remember
the TV shows were, or the, the
situational comedies where you'd see
some guy walking around in office and
say, secretary, write this down for me.
Uh, I need this and that and that,
and blah, blah, blah, and make
sure you invite such and such.
And the secretary's like,
yes, I'll, I'll write it down.
I'll have all this sent out.
I'll make sure everybody knows.
Yeah.
Google is integrating AI into
their Gmail systems as we speak.
You can probably go look into it, and
you may be able to get early access
right now, but you could have a Gmail
system where you just say, Hey, Gmail,
write me a message to my mother saying
I won't be in town for the weekend, so I
won't be able to see you on the fourth.
I'm sorry.
Uh, tell dad I'll mail him, you know,
a bottle of that famous barbecue sauce.
He loves so much and hey Google,
make sure that it's nice and friendly
sounding so my family loves it.
And keep it under, keep it under 50
words and some, something like that.
And it'll write the email for you.
Google is already working on that.
It's happening right now.
And by the way, this stuff is new to the
consumer, but has already kind of been in
use by Google, in use, by Amazon and all
these other companies behind the scenes.
For those of you who don't know, they, I
don't wanna say hide technology, but they
keep technology from the public view.
Until two things happen, they're
ready to capitalize on it, and they
think the audience is ready for it.
If they're still making money off of the
previous technologies and they're not
really ready to come out of the gate,
they're not gonna come out with it.
They're just gonna keep on researching it.
You know, that's why you can see something
like, something like a company like
Twitter, getting rid of 85% of its people.
You're like, well what, what the, what
were the rest of those people doing there?
And how come it's still working?
Well, the rest of the people may
have been researching, trying out new
technologies, a bunch of other stuff,
but the r and d departments are huge
in these companies, and this is what
they've been doing behind the scenes all
this time, is figuring out AI and other
technologies that we haven't seen yet.
I used to work at, um, at Rockstar
Games and uh, in Sony Santa
Monica, and these are companies
that make big, huge technological
mastermind masterpieces, right.
The stuff that they're not
showing you blows your mind.
Would blow your mind.
And this is at any company.
And if it's true for a video
game company, it's definitely
true for a technology company.
And if it's true for a technology company,
it's definitely true of your government.
They have stuff going on
that you have no clue about.
I dunno if you, any of you remember if
you were on Facebook right a while back
and it was, it, it wasn't everybody.
Cuz Facebook doesn't roll out their
technology to everybody at the same time,
and especially not everybody all at once.
Um, but there was the, the face
recognition technology where all of
a sudden it would say, Hey, is this
person, do you know this person?
And it would show you a picture
and ask you to tag that person.
Facebook was going through every last
one of your images, every last one.
And looking at it and saying,
okay, is this this other person?
Or maybe, okay, oh wow, these
two people aren't friends.
But I think I'm seeing the same
person in all of these different
photos that they both share.
Maybe I should suggest that
they be friends that'll make the
Facebook connection stronger.
So a lot of these things are going
on behind the scenes, but nobody
was really sitting around thinking,
wow, Facebook is the leader of
facial recognition technology.
And they probably are.
They've got the lar, I don't know if
you know this, but one of the reasons
Facebook has so much money is that
they're the largest, um, the largest
holder of visual information out there,
or public visual information out there.
So many people upload images
to Facebook and Instagram.
It's not even funny.
It's crazy how much visual data they have.
So if anybody is able to.
Hold up a picture of an apple,
a car, a pair, or something
like that, and a computer.
Be able to tell what it is.
Meta, the Facebook, Instagram company,
meta is at the forefront of that.
In fact, they just recently made
a statement that they are going
to be integrating AI into every
last one of their products.
Now, when you think of products,
you're probably only thinking,
you know, two or three, right?
Uh, WhatsApp, Instagram, and Facebook.
No.
Uh, when they say products, they're
talking about the Facebook marketplace.
They're talking about Facebook ads.
They're talking about the, the news feed.
They're talking about groups.
They're talking about Facebook Messenger.
They're talking about Instagram.
They're talking about
Instagram for business.
They're talking about all of these
little separate technologies that
make up their flagship properties.
They're putting AI into all that.
So you can go look that up right now.
But yeah.
Uh, gypsy love.
Let me know how Chad
g p t blows your mind.
What have you tried with it?
What have you seen, what have you learned?
Interesting.
It's interesting stuff in there, huh?
So some others, uh, real quick,
lemme just plow through some
of these medical analysis.
Have you ever, have you ever run
across like an, an older lady and
she says, Hmm, you don't look so
good, or, Hey, you should have
that checked out, or, I don't know.
And they're, they can just
kind of tell by looking at you.
And a lot of these old
ladies will be on point too.
They'll be able to tell whether,
you know, your, your skin's
looking correct or not, or, and
you might need to go to the doctor.
How did they know?
Because they, they can see, they
just have the intuition in the
site for this kind of thing.
And guess what?
Computers do too?
And cameras do.
So cameras take more data in.
Then our eyes can actually see.
So I'm talking about, you know, and
we're not even talking about crazy
stuff like infrared or whatever.
We're just talking about the regular
camera and what it can, what it
can pick up, what it can perceive.
Can it pick up different, you know,
slight undulations in the skin where,
where our veins might be showing?
Can it pick up wrinkles?
Can it pick up ashy skin?
Can it pick up, you know, if our
skin is glistening because of oil
or skin glistening because we've
been sweating, or is it glistening
because of the rain or whatever.
High tech cameras can pick
this sort of thing up.
So when we start talking about the medical
field cameras and just taking pictures of
people, if I look at front of my camera
every day for like 30 days, I may be
able to have my computer tell me, Hey,
you've, uh, you've been looking at this
camera every day for the past 30 days.
Your eyes are starting
to droop a little bit.
Are you getting enough sleep?
Do you have early stages of dementia?
Are you, and guess what?
Guess what?
The medical field largely is looking
at where you were, looking at your,
where you are, and seeing if that
matches up to going to a bad place.
You know, when you go to the
doctor, they always ask you, Hey,
have you changed your diet lately?
I mean, if you've been eating bad food
all your life, you know, and you're still
fine, they probably don't care anymore.
Like, yeah, whatever.
But if you change your diet and something
goes wrong, it's like, whoa, whoa, whoa.
What'd you change?
What happened?
What's new?
AI will be able to tell you this.
I know it sounds silly, but they're
putting cameras in refrigerators.
So if, if all of a sudden you start
getting sick, And the AI is looking
in your refrigerator and the, the data
gets funneled back to your medical
professional or whatever, or what.
However, it can, it can work
out a lot of different ways.
This is just an example, so feel free to
call it corny example in the comments,
but this is how stuff like this can work.
And I've seen stranger ideas
actually make it to market.
So, but yeah, they can look at your,
you could have the camera take data of
all your food and all the things you're
eating and let's say a bunch of people
get sick all at once, if all these
cameras and all these refrigerators
notice a pattern like, hey, hey, hey,
everybody that got sick lived in a house
that had one of these refrigerators
in it, and all those refrigerators
reported, there was some, uh, you
know, a bad batch of oat milk from.
From Walmart, Walmart's, uh, the
Walmart brand of oat milk went bad
or something, no shade to Walmart,
but I've never had their oat milk.
So I don't know.
Um, you know, that's a way that they
could start engineering these kind of
solutions, change the medical field.
I don't wanna go to some, some
old person to have them say, say,
ah, and ask me dumb questions.
You know, maybe I just
want to talk to a computer.
Maybe I just want to get my
blood drawn by a computer.
It probably will do a very,
very good job in a lot of cases.
And if not for you, think about
the countries that don't have
access to a lot of doctors.
Think about what that could do for them.
Let me just start running the blood
through, start running the blood test
on, on, uh, an entire population,
start fixing a lot of their problems.
And yes, there's a possibility
of causing problems too.
So, I'm not unaware of that.
But let's stay on the bright side here.
We have enough dystopian AI talk.
What else?
Uh, production, artistry.
People talk about art being a, if
you haven't seen the art thing happen
already, you need, you're, you're living
under a rock and you need to go find
somebody that's an artist or who does
art, that it has a, has an opinion on
art and AI that is probably very strong.
They're probably upset, scared,
concerned, mad and angry at the same
time, happy about the possibilities.
Sad about where their jobs are gonna go.
I mean, if you thought it was bad when we
were talking about customer service, it's
like, listen, I don't need a room full
of 50 artists making a bunch of trees.
If I could have a computer program,
just write a bunch of trees
that we'll see in the background
of a movie for four seconds.
Yeah, gimme that instead.
That'll cost a lot less.
$10,000 art program, fine, I'll pay it.
I'll pay double.
Because a $20,000 art program for a
movie is nothing in comparison to,
you know, a couple artists getting
paid rates in California, New
York, Austin, Texas, or whatever.
Or even if you take it overseas, you
know you wanna get your trees done by
somebody in Indonesia, Pakistan, China,
Russia, even if you're outsourcing.
And that's another hit
on the global economy.
A lot of the outsourcing is, is being
affected because why outsource what?
I can just call on chat, G P T or
Dali, or Mid Journey Stable Diffusion.
So you got designed politics, photography,
medical analysis, coding, programming,
even the soft skills like management.
I have to talk to somebody.
Uh, maybe I don't, maybe
I can talk to an ai.
You know, there's already like AI therapy
or if you don't feel comfortable talking
to a person, you can just talk to a ai.
Is it licensed?
Uh, no, but I could see that coming.
So if I sit down and talk to my
computer long enough, maybe it'll
tell me, you know what you need to do?
You need to do X, Y, and Z.
You know what you need to do?
You need to do X, Y, and Z.
You know, you know, you need to
come to grips with such and such.
You need to talk to such and such person.
You need to resolve these issues.
You need to answer these
questions for yourself.
A lot of these cases where that I'm
talking about, it's just people, humans
picking up a piece of paper, going in
a book, looking at something and then
turning around and saying, Hmm, it's this.
I'm a programmer.
I know it.
It's, yes, there is a
certain way of thinking.
There's a certain human element that's
important, but how important is it?
Like I like talking to a cab driver.
I like talking to an Uber driver.
I like talking to the pilot
of an airplane, but maybe
I don't need to do that.
Maybe I just need to get in
and and go ride somewhere.
Maybe I can get in and start
FaceTiming with people all over
the globe instead of worrying about
actually talking to the pilot.
May.
Maybe that's just annoying.
I know if you, you've ever been to
any place that has a monorail or
trained system or subway system.
Yeah.
You don't need to
actually talk to anybody.
You just get in the door is closed.
I kind of appreciate it when you can
actually talk to people at these.
At these public gatherings, like, um,
train stations or subway stations.
But yeah, there's no,
there's no driver there.
So we can get past that.
And we don't need people, we
don't, tech technically need
people for a lot of these things.
So what does this all mean?
Am I just spouting doom and gloom?
I don't think so.
Well, now I was just giving
amp all these props and.
Amp died on me, and this
is how technology goes.
Maybe I mentioned Amazon
a few too many times.
Maybe I mentioned Google
a few too many times.
Maybe the AI was doing its thing and
being booty because computers, you
know, as much as we want, as much as
the technology moves, we don't actually
ever sit back and fix the technology
because by the time we get to some sort
of stable area, the technology moves
into the next, the next place, right?
Once we think we've got something figured
out, we advance into the next area.
And once we advance into the
next phase, the next area,
things become unstable again.
And the more we continually do this
and the faster we jump into the next
phase, the more unstable things get,
and it becomes a compounding effect
where unstable technology relies
on more unstable technology and
things start to quote unquote break.
Yeah, I don't know if any of you have
ever played a game, ran an application,
or dealt with any type of technology
that you think is going to work
and it just ends up bailing on you.
It ends up falling apart.
It ends up definitely not
performing to expectations.
I suppose Al will be
doing plenty of that too.
But to finish this up, uh, I do want
to give some thoughts really quickly on
the whole artificial intelligence thing.
It's definitely coming.
It's already here.
There's no reason for
companies not to do it.
It's too convenient and too
freeing for AI to not move forward.
So what do you do?
Do we, do we just bow down
and let the AI over Lords win?
No.
I believe that we can exist in a
future where, where what we create
and how we create it can definitely
benefit from AI much more so than
it detracts or it, it damages us.
So the more, many, more
benefits than it takes away.
If we have discipline about it.
And this is the only thing that
concerns me with humanity in general,
is having the discipline to do
things that are good for people.
Not necessarily what makes us happy,
but what keeps us safe, what builds
us into a stronger community, what
holds us together and what works
for all of us in different ways.
But of course, people are just gonna,
people are gonna resist anyway.
And that's, and that's fine.
People should resist a lot of.
A lot of these so-called advances,
but I do think we can
get to a better place.
Can we?
Can we administer
healthcare more sensibly?
Yes.
Do we need to get money
out of the picture?
Well, there's a reason they say
the love of money is the root of
all evil causes a lot of problems.
So with ai, can we really start
fixing problems without making more?
Can we really start coming
together without marginalizing or
tearing apart other communities?
Can we really start effectively
growing the way we think we can?
It's possible, but are we gonna do it?
I hope so,
because contrary to popular
belief, these systems.
Don't do only what we tell them to do.
These systems can end up with
very human problems and biases.
Biases that we don't expect.
I'm just gonna go ahead
and wrap it up there.
I've got some AI work to do.
I need to get, I need to get some things
built and I need AI's assistance to do to
build it, so I need to go ahead and get to
that, and I won't waste your time anymore.
In fact, you know what?
I should have used chat G P T to come
up with an outro for this because I
really didn't have a strong outro.
I'm just over here figuring out
what I should say, and that's
the human part of it, right?
Free flowing, letting your emotions speak,
having an actual expression, and hopefully
using technology to facilitate that.
Not to take it away from us.
All right, so that's gonna
do it for me and this one.
Ben's ad experience Live.
Take what you've learned, apply
it here and we're appropriate, and
go out and create something good.
Learn more at my website, mr binge.com.
I know it's currently janky right now.
If you wanna see the jank before
it goes away, go check it out.
But I'm rebuilding some parts
of it, making a little more
accessible and usable for people.
So go there, you'll find the links,
you'll find the recommendations,
and I appreciate you all.
Thank you very much
for being part of this.
And yeah, send Amazon a letter.
Tell 'em they need to fix
up their amp business.
Maybe they need to get their AI on
that, because right now some of it's
a little booty, but I'm having fun.
So until next time, I'll see you.