Bit Defender sponsored this video so I can show you that I can juggle computers
and tell you about our new amazing product, Linus Strength Pills. Watch as
I make David watch all of 2019's [music] cats. Wait, not like this.
[screaming]
[laughter]
Thanks to Linus Pills, I'm unstoppable. Start your subscription today by
emailing me at Linus.Linus Linus.com. I don't remember recording
any of this. Bit Defender [music] did sponsor a video about protecting
yourself from deepface, though, because now these have gotten so good that you
didn't even realize that I'm not the real Lionist either.
What are you guys doing?
Fully AI generated videos, at least for now, still have some easy to spot tells,
especially if they're long or if they involve a lot of movement. But a simple
head replacement deep fake or a stationary figure at a desk telling you
all about their latest get-rich quick scheme. Those have gotten shockingly
convincing over the last 5 years. Let's talk about both how we deep faked and
how we fully generated me for this video using just commodity hardware. But
before we do that, an important message. If you've got a loved one who's going to
need some help recognizing what's AI and what's not, send them to this timestamp.
[music] We've got you. Starting with our deep fake. The process
is still pretty similar to how we did it last time, just 5 years refined. First,
find an actor with a similar body shape to your target. You can see why this
matters in this test that we did with Plof, who owns a display. When you blow
it up on a TV, it's pretty easy to spot anomalies like his hat or his beard
leaving a soft outline. But on your phone, especially with poor eyesight,
mostly just looks like a guy with a slim face on a chunky body. Oh my god, am I
allowed to say that? It's okay. I wrote the script. >> Okay. So, we parsed the subreddit then
for the latest is this Lionus meme and
chose Chase for our real attempt. We used Deep Face Lab to train a model on
about 7,000 recent images of my face. And boom, much more convincing. And this
is both super cool and super scary. It
was at least 100 times easier than when we did it [music] last time. Syncing up
the lips with the audio is still pretty tough. But if you keep your clips short
and you edit them together in a punchy manner with alternate angles and
close-ups like you typically would, you can splice [music] together something
pretty convincing and pretty long, one 5 to 7second shot at a time. With that
said, I'm sure that a lot of you guys could still tell cuz realistically you
dwell the same corners of the internet that I do and you've been watching with
a sense of awe and with dread as deep fakes and video generation have gone
from [snorts] obviously fake garbage to
oh this requires a little bit of scrutiny. But you savvy viewer are not
my concern. Many, maybe even most people
can't tell anymore. and online scams and fraud are increasing [music] every year
to the point where in 2024 losses are
estimated at over $1 trillion.
That number came from Bit [music] Defender, who is in the business of knowing these things. And the scariest
part is that [music] a huge portion of the scam industry is still using old
school text to voice phone calls. I
mean, imagine if you could hit victims with something more like [music] this.
Hey, I'm in a jam. Can I borrow $5,000?
And I know some of you guys are probably thinking, "Tough break, boomers. You had
enough of the wealth anyway." But that's easy to say until it's your family
member. [music] And we have multiple people in this office who have had
family members impacted. And again, the scariest part is how easy it was to
generate that clip. All we needed for it and for the ones at the start of this
video were start and end key frames.
Once those were captured, or in many cases just scraped off of an existing
video or Facebook photo. >> My name is Nicholas Plove and I hate
displays. >> We got an advanced subscription to openart.ai and it was off to the races.
Now, to be clear, we're not actually recommending OpenArt.ai. They've gotten
a lot of deserved hate. It's just that we used it for this project because Sora
2, which was our first choice, won't let us generate anything with me in it. and
Open Art allows us to quickly experiment with many different models. Choosing a
model, by the way, is not as simple as just grabbing the latest one. While
newer models like Google's V3 might be generally more convincing, they also
tend to have stricter content guidelines. So, for certain prompts, an
older model might give a more satisfactory result. Once we settled on
mostly V3 with a sprinkling of WAN 2.5 and Cling 2.1, we ran into our second
hurdle. A lot of our prompts, completely
by accident, I assure you, got flagged as not safe for work. Okay, listen. I
think it's pretty obvious that I wanted this. But whether it's from past
experience or from the training data, our video generator thought that I
wanted this. Anywh who, we got around it by using
cloud AI to help us create more AI
friendly prompts to help bypass these guardrails. From there, the biggest
constraint was just how much money we wanted to burn on tokens. We ended up
throwing away about five video clips for every [music] one that we were able to
use. Now, I'm sure a few of you are wondering, why not just create this on
your own hardware? And that's a totally valid question. With Comfy UI and some
of the open source models out there, you can create videos, but the DIY ones are
not as convincing yet, and the performance is pretty rough on consumer
hardware. With that said, things are moving. so fast that by the time you
watch this, it'll probably have improved. That leads us to hurdle number
three. See, a generated actor, unlike a
deep fake actor, doesn't actually speak.
So, you've got to line up your clips with separately generated audio. Huh,
that is enough of a challenge when the subject is stationary. You throw in some
walk and talk or walk and carry your colleague and things get pretty rough.
Unlike this WAN deskpad from ltstore.com, we use it all the time and
it's still nice and soft to the touch. But back on subject, look at this clip.
Not too bad. Add audio so I can show you
that I can juggle computers. [music]
That's a yikes. Now, we tried lip
syncing services, but those completely fell apart when it wasn't a simple
talking head shot. So, our editing supervisor extraordinaire Emily used
Fish Audio to generate a bunch of different audio versions and then we
picked the closest matches. Perfect. No,
but this was a just for fun video to see what we could do with limited time and
with the tools at hand. Scammers, on the other hand, they can spend a lot more
time and money on these clips if they [music] think they can make money on
them. That's where the sponsor of today's video comes in. That is one
thing fake liners was right. It's Bit Defender and their message today is
pretty simple but very important [music] and it's one that I agree with. Common
sense is not always enough anymore. What we showed you guys today is just the
beginning for bad actors out there. Scammers are constantly innovating their
tactics and rapidly adopting AI, making it more difficult than ever to
distinguish between what's a real emergency and what's a manufactured call
that might fool a scared loved one. If you're interested in protecting yourself
and your loved ones from all sorts of scams, you can get 90 days of Bit
Defender's premium security product absolutely free at the link below, which
includes scam protection, your AI powered defense against online fraud.
Now, let's talk about how to spot a deep fake or a generated scam video.
Professor Hannie Fared does this for a living and gave a pretty cool TED talk
earlier this year here in Vancouver highlighting cuttingedge strategies for
detecting AI imagery. Some of them [music] like analyzing image noise
probably not going to help the average person that much. But what we can do is
look at things like shadows and vanishing points. See, we live in a 3D
space. Whoa. But AI is creating 2D images in an
attempt to simulate a 3D space. [music] And it's doing that without really a
proper understanding of the laws of physics that govern light. Let's say you
stick a light in a room. You know intuitively [music] that shadows will be
cast away from it. AI kind of gets this
and tries to get it right. But if you try to align the shadows with the light
source, odds are that they're not going to converge properly. And the same goes
for something that human artists have understood for centuries, perspective
drawing and vanishing points. See, in a real picture, every object eventually
converges towards what's called the vanishing point on the horizon like this
and this and this. But AI fails to do
that and is going to draw lines that don't converge [music] properly. Is this
always easy or convenient to check? No,
because unfortunately we are far beyond the days of Will Smith's face melting as
he eats his [music] non-convergent spaghetti. And depending on the model
and how much effort someone would put in, sure, you might spot an extra limb
or lack thereof and instantly know the image is fake. But it's gotten much
harder to tell right away [music] and is advancing at a rapid pace. So quickly,
in fact, that these physics quirks today could probably be ironed out in the
coming months rather than years. So what can you count on? Well, for now, your
best bet is to be more skeptical about any content that you see, especially on
social media. Or at least don't rely on it for trustworthy news. And if you see
anything suspicious, do some digging. Find out if it's real or just more AI
propaganda. Use other people to help you. Have a look at the discussion. Even
just looking a little closer to see if there's kind of a weird shimmer around
an object or if some of the lighting doesn't look quite right. That can help
you spot the slop. And whatever you do, please don't answer any urgent requests
for your information or for your money or click on any sketchy links. If
someone reaches out to you, the safest thing to do is say, "Hey, I'm going to
call you back at the number that I already have for you." And confirm if
this is you. Thanks again to Bit Defender for sponsoring this video. They're a global leader in cyber
security. They've got over 17 years of AI innovation under their belts starting
in 2008 when they introduced AI and machine learning based threat detection.
While AI's ability to reproduce and scale tactics is a threat, its
replication patterns can also present opportunities for detection. We're going
to have a link for their services in the video description. And I sincerely hope
this video helps you and your loved ones avoid getting fooled by [music] AI.
Thanks for watching, guys. If you like this video, maybe check out the last time we tried to deep fake [music] me
over 5 years ago. It really has come a
long way. Not even necessarily in terms of the convincingness, but in terms
[music] of the ease.