There was a period of time on 9/11 when nobody
knew what was going on.
A plane had hit the World Trade Center.
Everybody on the news was talking about it.
There were rumors that other planes have been hijacked, that
there's some kind of major attack, but nobody knew for
sure.
There were all kinds of crazy rumors swirling around.
But in that moment, it was just as likely that
this was just a horrible accident, just a thing that
went wrong and nothing more than that.
And then the second tower was hit.
That was the moment that all the confusion went away
and we all collectively realized at the exact same time,
oh, we're living in a different world now.
I think we're kind of having that moment right now
with AI.
For the last 10 years or so, we have been
hearing about how this technology is going to change the
world.
It's going to take all of our jobs, leave society
unrecognizable.
There's just been this background anxiety about it, what you
know, AI could do.
But for the most part, it was just like a,
an abstract thing, you know, that we couldn't really see
or imagine.
But some recent advancements have made this abstract thing a
lot more clear.
AIS that can generate articles, music, images, video, and code,
meaning they could create more AIS.
There are even people using AIS to build and run
businesses all by themselves, making thousands of dollars a day.
At the very least, these are the new tools that
in five years or so, you're going to be at
a disadvantage if you don't know how to use them.
And at the very most, we're seeing just the tip
of the iceberg of a technology that will radically reshape
our society in ways that we can't possibly comprehend.
What we're seeing right now is AIS second tower moment.
Whichever way this goes, we're in a different world now,
all right?
So this is a video about what's going on with
AI right now.
And The thing is, what's going on with AI right
now is it's changing extremely fast.
Like there are entire channels dedicated to following this stuff
that posts multiple times a week, and they're struggling to
keep up.
So the idea that this video is going to be
timely is just laughable.
Yet things have happened since you started watching this video
that already makes this video obsolete.
And that's kind of the whole point.
For years we've been hearing about the idea of the
singularity.
You know, the the, the moment that AI outpaces us
and the unimaginable becomes real.
I covered it a few times early on in this
channel.
And I've been making the argument actually for the most
part, that when you step back and you scale things
back and look at the big picture, we're in the
singularity.
We've been in it for a couple 100 years.
Yeah.
I kind of got away from the idea that the
singularity was this, you know, one single event, just one
moment when everything changed all at once.
You know, I started seeing it as an era of
history that began maybe with the birth of the Industrial
Revolution, when we learned how to harness energy or, or
maybe even the invention of the printing press.
And we learned how to pass information on through space
and time.
You know, like, everything's kind of hockey sticks after that.
But what's been happening lately is starting to feel like
the classic version of the singularity, you know, like, like
we're just, we're just rolling downhill and about to cross
the event horizon of this thing where there's no going
back.
Hyperbole much, Joe?
I don't know.
I mean, not if you listen to the hype around
it.
Judging on the hype that you've been hearing about AI,
this could go in two very different ways.
On one hand, AI could solve all of our problems,
cure cancer, create new methods of propulsion and clean energy.
All the issues we're currently dealing with that we fear
will destroy us someday.
AI could be an unimaginably powerful tool to solve those
problems.
This is one possible outcome.
But then there's the other outcome.
We're in an inconceivably short time, AI becomes smarter than
us and becomes an intelligence we can't possibly fathom, leading
to the extinction of the human race.
And to me anyway, no discussion of AI is possible
without talking about both the good and the bad.
So that's what I'm going to try to do here.
And it's, it's difficult.
I'm trying really hard, guys.
Honestly, I have had to restart this video like four
or five different times because every time I thought that
I was done, I would find some article or see
some video that kind of threw my entire point out
the window and I would have to start all over
again.
There's just so many takes on this subject.
And it's not that any of them are wrong.
Actually, the problem is that a lot of them are
right.
They're probably all right.
In fact, one of them got into eugenics.
I didn't see that coming.
I mean, nobody even knows exactly how these things work,
even the experts that have been working on this for
decades.
So like, how am I supposed to add anything to
this conversation?
Like, what can I possibly say that hasn't already been
said?
And if I'm being honest, I haven't even really been
keeping up with this.
There's like a 50,000 AI apps out there and I
haven't been able to mess with any of them because
I'm always just trying to get the next video out.
So not only am I trying to make an informative
video out of this thing, I've got to get caught
up on a technology that I've been falling way behind
on.
Like I couldn't feel more older and out of touch.
And the biggest irony of all is that I'm sitting
here struggling really hard to write a script about a
technology whose core value is that it can write the
script for me.
Maybe I should just pick up where my last AI
video left off.
When was the last time I made a video about
AI?
My last video on AI was in 2016.
Wow.
Oh, little baby YouTuber back then.
OK, so yeah, the last video I was talking about
the three different levels of AI.
So why don't we just do a quick refresher on
that?
All right?
So yeah, big picture, when we talk about AI, there's
three different levels.
There's artificial narrow intelligence, artificial general intelligence, and artificial super
intelligence.
Narrow AI is what we've been dealing with for a
long time now.
This is taking the form of chat bots to spell
check image processing that helps with photography, astronomy, medical diagnostics,
and so on.
Voice recognition is a kind of AI, virtual assistants like
Siri and Alexa.
There's all kinds of AI and gaming, aviation, search engines,
the list goes on.
AI help make our jobs easier and our lives more
efficient in a million different ways.
It's also manipulated our society in ways we're just now
beginning to come to grips with, you know, all the
polarization, isolation, depression that we've been seeing by social media.
These are products of algorithms that are themselves a kind
of AI.
Like, I know some of the biggest algorithm experts at
YouTube, and I can tell you they're just trying to
figure it out like the rest of us, only they
have millions of channels worth of data to deal with
versus one or a few channels.
Yeah.
The algorithm is basically like an alien life form.
Nobody really knows how it works.
It's a black box that nobody can see inside of
or understand, much less control.
This is the point that will come up later.
Yeah, all of these AIS are amazing and powerful, but
they're all examples of, again, narrow AI.
They're built and trained to do 1 specific thing, and
they do that one specific thing better than any person
could.
But that's all they can do.
And we're already seeing this bifurcation of scenarios, you know,
simultaneously incredible and amazing, but also tearing apart the fabric
of society.
Artificial general intelligence is AI that can do all the
things that narrow AI can do, but for everything, it's
a generalist, much more like a human being.
I want to make sure that I'm clear here.
I'm not talking about consciousness or sentience at this point.
This isn't an artificial life form.
We're not talking about giving it personhood or rights or
anything.
In fact, the consciousness thing, it doesn't even play into
this conversation right now.
I think it's better to just kind of set that
aside.
That muddies waters that are already pretty muddy.
A general AI is just AI that can have the
same capacities as a human brain.
It can analyze images, but it can also make music.
It can problem solve and strategize, even deceive and manipulate.
Here's the thing about artificial general intelligence though.
When it does happen, you'll probably miss it because if
an AI has the same capacity that we have, well,
one of the capacities that we have is that we
can make an AI smarter.
So if an AI that's as smart as we are
can create a smarter AI, that by definition is artificial
superintelligence?
Yeah, this is what futurists have been saying for a
long time now, that pretty much the instant we reach
artificial general intelligence, we will reach artificial superintelligence.
AI that's smarter than a human, smarter than all humans
combine, for that matter.
And this is where things really split into a couple
of different directions.
You know, on one hand we could see a utopia
where every disease has a cure, aging can be reversed,
resources perfectly allocated for all, the climate in equilibrium, economic
recessions forever eradicated, all our wants and needs fulfilled so
we can spend our limitless lives in pursuit of knowledge
and happiness.
Or in an effort to get rid of all conflict
that suppresses us all into an authoritarian surveillance state devoid
of free will, with all of our wants and needs
doled out according to its all powerful insistence on order,
creating a techno slave state.
Or it could decide that the common denominator in all
the world's problems is humanity itself and wipes us off
the face of the earth.
Or placing us with robots and machines that live on
for a billion years, eventually spreading to distant stars and
eradicating all potential life in the universe from existence.
I may have gone too dark with that one.
There is of course another option, which is that all
of this is just hype.
Just way overblown height by companies who invested billions of
dollars into this and now need to sell the product
they made.
In fact, there's an argument to be made that this
is just another gold rush.
AI is the new crypto.
And there definitely is a gold rush of sorts going
on with all these new AI tools suddenly being integrated
and everything with a keyboard, some of which are awesome,
yeah, but some of which just don't make any bloody
sense.
But really, this, this isn't anything new.
You know, companies have been using AI as a catch
all buzzword for the last decade.
It's just like this thing that they say to convince
you to buy their product and say that their product
is better because it has AI in it.
You know, everything from cars to HVAC units to washing
machines, coffee makers, tech investors need to beware.
40% of companies in Europe and now claim to be
AI.
Startups have actually, if you can believe this, little or
no connection with artificial intelligence at all.
Now, in these cases, the AI is usually just like
an algorithm that allows the device to self adjust or
optimize according to the situation.
And they've got their merits, you know, is the kind
of narrow AII was just talking about.
But it is also just marketing.
So yeah, on one hand, AI is nothing new.
It's been used to sell us on products for a
long time.
What we're dealing with right now, though, is something different.
This is generative AI, not to be confused with general
AI that I was talking about a second ago.
Generative AI, though, it's exactly what it sounds like.
It's AI that generates something that didn't exist before.
And this does feel like it just kind of popped
up out of nowhere in the last couple of years.
But again, it's really just the culmination of a lot
of things we've been getting used to for a while
now.
We kind of started seeing the first sparks of this
back in 2015 when videos like this from Google's Deep
Dream project started kind of making their way around the
Internet.
The AI would basically start off with a picture and
then it would find patterns in that picture and the
alignment of pixels and whatnot that it would recognize as
other images, kind of like us seeing faces or shapes
in the clouds.
It would then pull from a set of images and
insert them into the image, leading to these mind bidding
visuals of animals and faces reminiscent of a heroic dose
of mushrooms.
Or so I've heard.
Following that, the research continued into training AI models to
recognize objects and images.
That's pretty much what all those captchas were all about,
finding the stoplights and the cars and the images.
You've been training AI models this whole time.
Didn't even know it.
You also started to see tools in Photoshop like Content
Aware, Fill and Scale that will intelligently replace objects and
add extra photo to the photo based on the space
around it.
That got fully integrated into Photoshop in 2019.
I've actually used this all the time on my thumbnails.
And then there's the AI video and image filters that
started on Snapchat and then on TikTok.
Then there was a trend of AI generated avatars and
social media through apps like Lensa.
I'm leaving a lot out, but the point is that
all of these little AI tools and toys have been
around for years and becoming more and more popular.
Now, at the same time that all this was happening,
there were AIS that were learning natural language patterns first.
Autocorrect features and word processors can went back as far
as 2003, but it became especially useful with the advent
of smartphones.
Predictive text and phones and search engines soon followed.
Voice recognition paired with natural language models led to Siri
in 2011, Alexa in 2014, and then in 2021, Open
AI announced Dolly, which put the image and text features
together and had the ability to create entirely new images
based off of text prompts and all that labeling of
objects and text recognition.
It all kind of came together so that if you
enter the word camel, it knows what a camel is
and it can search its massive image archive and it
creates something that resembles a camel.
The first Dolly was kind of under the radar though.
It was kind of just made for research purposes.
It was Dolly 2 that came out last year in
2022.
That's what gave public access to this technology for the
first time.
Mid Journey came out about the same time and people
kind of lost their minds for the 1st time.
Literally anybody could just enter some words into a prompt
and get a retty good quality image out of it.
And yet anybody who's been following this even a little
bit can attest to how quickly this AI art has
evolved.
And then by the time we got used to all
that, here comes ChatGPT, ChatGPT, ChatGPT ChatGPT ChatGPT, ChatGPT, ChatGPT,
ChatGPT, ChatGPT, ChatGPT.
OK, so ChatGPT, in case you don't already know, it
works off what's called a large language model, or LLMLLMS
are neural networks.
A neural network is a computer system that basically works
like a brain.
Just as a brain has billions of connections between neurons,
LLMS have billions of connections between mathematical functions that act
like neurons.
I don't want to go too deep in how all
this works, but I'll just quote a tweet from Peter
Yang, creator Economy Esso, who said this quote.
Imagine that you have a library with a huge collection
of books.
You want to learn everything you can from these books,
such as how to write a good essay and how
to speak a foreign language.
How can you do that?
An LLM is a program that can generate text based
off the books in your library.
So it does kind of work just like predictive text
on your phone.
Where a phone has a library for past text, it
can kind of figure out what the most likely next
word is going to be.
So say if you start to type your street address,
it's learned that from watching your text and it auto
completes it.
Only an LLM has millions upon millions of books and
articles to draw from, and then they kind of weigh
what they read in terms of importance.
To be clear, this is a massive oversimplification, but you
get the idea.
The process of feeding an LLM gobs of text is
called pre training.
When programmers want LLMS to get better at specific tasks,
they can feed the LLM more focused text.
This is called fine tuning, but it's not really interested
in giving the right answer.
It's programmed to give the most likely answer, and a
lot of times that answer's right.
A lot of times it's not.
For example, when I asked ChatGPT to give me 5
facts about the YouTube Joe Scott, this is what I
got.
Joe Scott is an American science communicator and YouTube who
creates videos about science based technology.
He's been creating content on YouTube since 2014.
Has over 1.5 million subscribers.
Accurate.
Before becoming a full time YouTube, Joe worked as an
engineer and consultant in the aerospace industry.
He has a degree in Aerospace engineering and a master's
degree in Systems engineering.
This is not true Joe is known for his informative
and well researched videos which cover a wide range of
scientific topics from black holes and space exploration to artificial
intelligence and genetics.
Well done ChatGPT.
In addition to his main channel, he has a second
channel called Answers with Joe where he explores interesting questions
and provides answers.
That's second channels called TMI.
So swing and a miss.
Joe was an advocate for science education and outreach.
Sure, that's true.
He has spoken at events such as TEDx and collaborated
with organizations such as NASA and the Planetary Society to
help promote science, literacy and interest in space exploration.
I wish that were true.
So yeah, out of five questions, two of them were
completely bloody wrong, and one of them was kind of
half wrong.
So also, when I was messing around, I asked it
to give me directions to the closest roller skating rink
to where I live in East Dallas, and it pointed
me to a nice little skating rink at the corner
of Gus Thomas and in Ferguson.
But when I looked it up on Google, it's actually
way up in Plano, about 10 miles away.
So yeah, when people ask me if I use ChatGPT
to write my scripts for me, my answer is not
just no, but hell no.
Like the first time I ever really tried to do
that, I was doing a video on smart cities.
I tried to save a little time and asked it
to write a few paragraphs about the planned city of
Tolosa, Arizona, and it gave me this.
Tolosa is a bustling metropolis located in the heart of
the country.
With a population of over 2 million people, it's one
of the largest cities in the nation and a major
center of commerce, culture, and entertainment.
The city is home to a diverse array of people,
with a rich mix of cultures, religions, and backgrounds, making
it a vibrant and exciting place to live and visit.
Tolosa is a cultural hotspot, with numerous museums, galleries, and
theaters showcasing the best in art, music, and performance, And
it's home to many renowned musical and theater productions, as
well as countless festivals and events that take place throughout
the year.
Yeah, this city does not exist.
It's literally just computer renderings right now.
Now I will say I've used it to help create
video titles for my videos and it's been pretty helpful
with that.
And also, while I was testing it out, I thought
I would try seeing if they could help me to
brainstorm some ideas about a, a, a character that doesn't
really exist.
Say I'm writing a book and I made out this
character about a, a farmer who's about to go bankrupt.
The prompt I gave it was I'm writing a story
featuring a character that's a farmer trying to keep the
family farm from going bankrupt.
He's a tough man struggling to keep himself together for
his family.
What are some quirky characteristics I could give him And
it gave me these options of superstitious.
Your farmer could have a collection of unusual Lucky Charms
or rituals that he believes will be will bring good
fortune to the farm.
Talks to animals, collects unusual items.
Expert Whistler green thumb for unconventional plants, fear of modern
technology expert storyteller proclivity for inventing gadgets.
This is pretty good.
Like like that's seriously helpful.
I could actually use that.
Oh, and I also asked it to recite the To
be or not to be speech in the style of
Snoop Dogg.
I was kind of hoping to see A to be
or not to Bizzle, but I didn't get that.
But I did get a matter of seconds.
It created a whole rap verse.
That's honestly pretty impressive.
OK, now I am not a power user of ChatGPT.
There's a million videos out there with great advice on
how to create the best prompts to get what you
want.
I'll just direct you to some of those down in
the description.
By the way, my prediction is that the word prompts
is the word of the year for 20/23.
Get used to that word.
You're going to be hearing it a lot.
So yeah, in my experience anyway, it works really well
as a kind of springboard or brainstorming partner, less well
as a source of accurate information.
Yeah, ironically, the computer program is better at creative thought
than accurate information, which is fine, except, you know, Microsoft
put it into being a search engine, a thing people
use to find accurate information.
And this is a problem as bombastic as the prognostications
around AI have been, to me anyway, this is a
much more immediate threat, the way AI could accelerate the
already massive problem of misinformation online.
I keep hearing about people using this as a shortcut
to creating content online, which is fine, like I just
said, there's some really helpful use cases for that.
But you have to Fact Check it, and frankly a
lot of people aren't gonna do that.
But for many people, whether or not it's accurate doesn't
matter.
It's just about giving people something to click on.
Combine this with the rapid advancement of the image generating
apps that are already damn near photorealistic and we are
truly entering a post truth age when literally any content
can be faked, any image can be faked, any voice
can be faked.
I haven't even gotten to that 1 yet.
And pretty soon nobody's going to know what to believe
anymore, so they'll just believe whatever they want to believe,
only increasing the fragmentation and distrust in our society, which
is pretty God awful already.
Now the AI Bros are quick to point out that
this is the worst AI will ever be, that it'll
only get better from here.
But on the other hand, it'll only get better from
here.
Now, there are other LLMS being developed like Lambda from
Meta and Bard from Google that have not been released
to the public.
Google especially is being extremely cautious about releasing Bard because,
you know, their entire reputation is based on their accuracy.
Some will say that Microsoft was actually being really risky
putting ChatGPT into Bing so early, but let's be honest,
nobody was using Bing, so they really had nothing to
lose.
But this does put pressure on Google to counter with
their own search assistant.
And now we've got an AI or arms race.
But I guess, you know, maybe the upside is that
there's only a handful of these LLMS right now because
they take literally billions of dollars to train them.
That's not true anymore.
Late last year, researchers at Stanford announced a powerful LLM
called Alpaca that can be pre trained for as little
as $600.00.
They did it to create an LLM that academic institutions
can test without, you know, needing billions of dollars of
funding.
According to their paper, it worked about as well as
Meta's Lambda AI model.
It didn't stay up long though.
They took it down on March 20th because they were
concerned about hallucinations.
That's what they call it when computers tell confident lies.
You know, like Chad GBT does about half the time.
But the point had been made, the price of LLMS
is going down from billions of dollars to hundreds of
dollars, and pretty soon people will be making these in
their garages.
And since GPT 4, which hasn't been fully released to
the public just yet, it has the ability to write
code.
So now you have the ability for AI to write
more AI and improve it.
Anybody else feeling like this is kind of spiraling out
of control?
It's no wonder that over 1000 tech insiders signed a
letter in March to put a pause on AI development
beyond GPT 4.
It's from the Future of Life Institute.
Which is controversial in its own way, and there's a
heated debate around their intentions, which is a rabbit hole
I'm just going to have to leave out of this
video.
But even with the generative AI that's out right now,
we've seen a flurry about creation using it.
Literally every other day there's a new crazy world changing
app that makes the news.
Some of it's been the same AI marketing I was
talking about before.
That's nothing new.
But some of it's just bonkers.
Things like Mixo dot IO that create websites in minutes,
Jasper dot AI that writes marketing and SEO copy for
the web, lucca.com that creates AI generated logos.
Tome app that writes and creates presentations with Dolly and
ChatGPT, quillbot.com that paraphrases AI paragraphs so it can pass
an AI detector.
Yikes.
There's Runway dot ML.
It's a video editor and image processor.
NVIDIA has an app that lets you draw a simple
landscape and it'll just fill in the rest.
They call that Canva.
NVIDIA also has a broadcasting app that will basically make
your eyes look like it's going in the direction of
the camera.
There's 11 labs dot IO that does voice cloning, sound
draw dot IO that makes music.
There's Agent GPT that lets you build an AI agent
that can do anything you can ask it to do.
And there's Future Tools dot IO, which is an AI
search engine for AI tools, by the way, that is
just, that's just a sample.
There are hundreds of these out there.
And there are other channels that are reviewed, literally hundreds
of these apps.
Again, I'll just point you to those.
There's going to be a link downstairs.
OK.
So when it comes to these new AI tools, my
personal theory is that they're just that they're tools, you
know, you still need to know what you're doing to
get the kind of results that people are talking about
here.
You know, it's like Photoshop.
Just because you have Photoshop doesn't mean that you can
do the same thing as a professional designer can do.
I can attest to this.
I suck at Photoshop.
Actually, that's a great meme that's going around that anybody
who's worked in a creative field will understand.
It says to replace creatives of the AI, clients will
need to be able to accurately describe what they're looking
for.
We're safe.
I'm sorry.
As somebody who's worked in that field, I can tell
you that made me laugh quite a bit when I
first saw it.
But anyway, to test my theory, I actually dug in
to about 10 or so of these apps.
And I made a whole separate video of it where
I go through some of these apps and I try
to figure out if I can make them work as
a total noob in the way that the demos of
these apps say they can.
And I'm uploading this along with this video to Nebula
because I've just seen a ton of these videos talking
about these crazy things that these apps can do, but
I've never actually seen anybody actually use them again outside
of those product demos.
So yeah, I gave it a try myself.
Some were garbage, but some I, I really think I
might be using from now on.
And, and, and trust me, if a tech dolt like
me can do cool things with them, then they must
be pretty powerful.
So if you're on Nebula, you can watch it right
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All right, so to kind of wrap this thing up,
I want to kind of talk about some of the
issues that really need to be mentioned because so much
of this topic gets overwhelmed by the existential dread stuff.
And while I know that's kind of my thing, there
are some right here, right now problems that are far
more immediate threats.
Obviously, there's issues of jobs being lost to AI.
And yeah, this is something to be concerned about.
But there's also a bit of a debate around this
because one could also make the argument that these new
tools could help employees to be more productive and more
creative.
Yeah.
There's another line that tech Bros tend to say, which
is your job isn't going to be replaced by AI.
It's going to be replaced by somebody else using AI.
And there's a couple of things that I can point
to as perfect examples of that.
So Corridor Crew did this all AI animation called Rock,
Paper Scissors, which is incredible.
And also, a TikTok creator called Ghostwriter 977 made a
lot of news recently because he made a song called
Hard on My Sleeve that used Drake's voice in the
song.
But it was AI generated and it was so good
that it got taken down by Drake's people.
And the point there is that, yeah, these guys are
able to do amazing things, but these are extremely talented
people.
I mean, you can look Corridor Cruz, YouTube age.
I mean, they make insane stuff all the time.
This is just a new tool they've been able to
use.
I mean, going back to Hotosho when it came out,
I remember a lot of people were worried that it
was going to put photographer's and illustrators out of business,
but most rofessionals just kind of adapted to it and
Justice started using it and made better stuff than they'd
ever made before in their lives.
I personally do know a few artists that are actually
embracing Dolly and Mid Journey.
Mostly it's just kind of jumping off points to kind
of spark new ideas.
And as a writer, as I showed a minute ago
with some of the brainstorming ideas like this is a
really quick and easy way to push through writer's block.
I do worry a bit that this could kind of
become an Earl Gross like a like a snake eating
its own tail because if people use these AIS to
create online content and then the AI pulls from that
online content to make new content, it just becomes an
endless cycle.
There is also the whole debate around the fact that
AI is using other people's work as part of that
large language model and stuff, all of which is copyrighted
material.
And a lot of people are up in arms about
that.
And I think understandably so.
But also at the same time, again, playing devil's advocate,
it's not completely copying it.
It's kind of using it as an inspiration, which we
all do that, don't we?
It's like it also just made the news recently that
Ed Sheeran had been sued for possibly copying the chord
progression from the song.
Let's Get it on, But a lot of pop songs
use the same chord progressions.
In fact, there were songs before Let's Get It On
that use that same chord progression, which is why Ed
Sheeran won his lawsuit.
So this is an ongoing debate around art that started
long before AI.
It'll be going on long after.
But AI does make it a bit more complicated.
Now the pessimist in me does worry that the money
people will see AI as a cheap or even free
content creator and it'll squeeze creative jobs out of existence.
But the optimist in me thinks that humans working with
AI could unleash even more mind bending ideas and that
eventually the cream will rise to the top just like
all the tools from the past did.
Now, in fact, as I'm recording this, we'll see if
this is still going on when the video comes out.
The WGA is striking in Hollywood.
Part of that is about streaming services and not getting
paid well for the streaming services.
But a big part of the argument, a big part
of why they're striking right now has to do with
AI.
And I want to just point out a thread that
Justine Bateman shared on Twitter when she was talking about
some of the big issues and things that we can
expect to be happening in the near future with AI
for some of the things that they're trying to get
ahead of.
She starts by pointing out that she is actually a
coder and she has a computer science degree, so she
doesn't know a bit of what she's talking about here.
She points out that AI written scripts and digitally scanned
actors already exist.
And actually, Bruce Willis made news for signing over his
AI rights to his likeness.
This kind of started happening when he came to when
he was diagnosed with aphasia and couldn't really perform anymore.
He sold his AI rights so that people could continue
to make movies with him in the distant future.
She points out that in that case, your digital image
can be triple and quadruple booked, so an actor could
actually be working multiple projects at the same time.
She suggests that in the future that films could be
customized for the viewer, meaning people could just special order
a movie if they wanted to.
She uses the example of I want a film about
a panda and a Unicorn who saved the world in
a rocket ship and put Bill Murray in it.
So you could be watching whatever streaming service they might
offer.
Something where you could just give a text prompt and
it will just create a movie as as you wanted
to see it.
Which Bill Murray with a panda and a Unicorn saving
the world in a rocket ship just sounds like a
Wes Anderson movie.
Which actually I'm pretty sure that Wes Anderson at this
point is just an AI that's been pre trained on
Wes Anderson movies.
She points out the possibility of people getting themselves scanned
and putting themselves into films.
So like you could put your own face on Darth
Vader.
She said you could train an AI program on a
series and then just create a whole new season of
that series.
And that brings up some really interesting possibilities.
But my big question is, is that something people want?
I mean, would you want to see that?
Like there are already programs like Nothing Forever which is
a never ending AI generated Seinfeld episode.
I mean who isn't crazy these days?
This is terrible but it will get better.
And actually the Nothing for everything it's it's streaming on
Twitch.
They took it down because it started using homophobic slurs.
So there's that.
Yeah, you know, computers doing all the creative stuff while
people keep working in factories for lower and lower paying
jobs.
It's not the future I was hoping for.
Now, I asked for administrative and legal jobs and whatnot
that's under threat by AI.
That I don't think is anything new.
I don't mean to minimize that as a threat.
It definitely is to a lot of people.
But that's a turn that's been going on for quite
some time now.
And again, I think the more familiar you are with
these tools, the safer your job's going to be.
But there's a lot of takes on that subject.
Now, one area of AI that did put me on
my heels is that of AI and warfare.
I talked a little bit about AI in my episode
on the future of war, but that's a debate that's
only getting bigger and more confusing.
AI gets used in a lot of ways by the
military, from image processing to logistics.
But what about AI is having the power to decide
if a person lizard dies?
Like, just the fact that, you know, drones were conducting
strikes controlled by an operator hundreds of miles away like
that.
That was iffy at the time when that started being
a thing.
But now the debate is whether or not an AI
should be allowed to make that decision.
But even bigger than that, way bigger than that, is
that increasingly there's been talk about giving AI the ability
to launch nuclear weapons.
They can need a lighting change.
So back in the 80's, the Soviets instituted a dead
hand mechanism on their nuclear arsenal.
This was in the event that, you know, decision makers
might get wiped out in a nuclear strike on Moscow,
it would automatically trigger all their nukes to fire at
the US.
Now, you could say this was kind of an early
algorithm or automation of the nuclear arsenal.
And similarly, the US has contingencies in place in the
event of a first strike scenario.
But that time horizon on 1st strike has gotten smaller
and smaller over the years.
First ICBM's could reach the US in about 30 minutes.
The nuclear, nuclear submarines cut that time in half.
Today, we're seeing the birth of hypersonic missiles that could
cut that in half yet again.
So now in a nuclear scenario, military leaders may have
less than 7 minutes to make a decision and retaliate.
And that's led many to consider handing those decisions over
to AI to save precious seconds.
So when we talk about an AI arms race, this
is the ultimate version of that.
We could see a day in the very near future
where the US, China, and Russia all had their nuclear
arsenals controlled by AIAI that we don't fully understand or
control with the ability to wipe out all life on
earth.
Anyway, just something to think about.
Ultimately, I think what we're dealing with here really is
just an amplifier.
It's a highly evolving set of tools that can make
production more productive, creatives more creative, bad actors and the
worst actors, scammers more successful, and weapons more deadly.
It's the Wild West right now, and we really don't
know where this goes.
And I can hear all the comments already of people
saying you forgot about this.
You forgot about that.
Yeah, there.
There's a lot that I left out of this video
because it's it's it's just too much.
This is already way too long of a video.
And writing this kind of broke my brain.
The whole thing just gives me like a grandma migraine
headache, Like not, not, not here or here so much,
but like right, right here.
So any one of the topics that I brought up
here and any of the things that I left out
for that matter, could be entire videos of their own.
So yeah, if this video does well and you guys
want to see a video on any of those topics,
let me know.
Maybe I'll do them.
And also, there's a ton of videos and creators doing
great work on this topic.
Again, I'm going to put links down the description so
you guys can go check it out.
I encourage you to do so because we got to
stay on top of this.
A genie is out of the bottle.
But I think I will leave things off with a
quote from Geoffrey Hinton, who's often called the godfather of
AI.
He's been working on AI and neural net since the
80s and he was working with Google until recently.
He actually he left Google so that he could speak
freely about this subject.
He recently said this in an interview with CBS.
This is the biggest technological advancement since.
Is this another industrial revolution?
What is this?
How should people think of it?
I think it's comparable in scale with the Industrial revolution
or electricity.
Electricity or maybe the wheel or maybe the wheel.
Yeah, that was earlier.
Yeah.
OK.
So buckle up.
Yeah, all right, Thanks a lot for watching.
Go check out that other video over on Nebula if
you want to get your brain melted just a little
bit of yourself.
But I want to take a minute to quickly thank
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I got some new people I got to shout out
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We got Joe Ape, Adam Russo, Edward Macphail, Brett Messenger.
Welcome back Brett Ryan, J, Norman Barton, Josh de Roos,
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All right, I am putting this video to bed.
Thank God.
Thank you guys for watching.
Please go out there, have an eye opening rest of
the week, stay safe and I'll see you next Monday.
Love you guys, take care.