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Bit Defender sponsored this video so I can show you that I can juggle computers

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and tell you about our new amazing product, Linus Strength Pills. Watch as

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I make David watch all of 2019's [music] cats. Wait, not like this.

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[screaming]

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[laughter]

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Thanks to Linus Pills, I'm unstoppable. Start your subscription today by

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emailing me at Linus.Linus Linus.com. I don't remember recording

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any of this. Bit Defender [music] did sponsor a video about protecting

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yourself from deepface, though, because now these have gotten so good that you

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didn't even realize that I'm not the real Lionist either.

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What are you guys doing?

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Fully AI generated videos, at least for now, still have some easy to spot tells,

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especially if they're long or if they involve a lot of movement. But a simple

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head replacement deep fake or a stationary figure at a desk telling you

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all about their latest get-rich quick scheme. Those have gotten shockingly

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convincing over the last 5 years. Let's talk about both how we deep faked and

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how we fully generated me for this video using just commodity hardware. But

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before we do that, an important message. If you've got a loved one who's going to

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need some help recognizing what's AI and what's not, send them to this timestamp.

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[music] We've got you. Starting with our deep fake. The process

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is still pretty similar to how we did it last time, just 5 years refined. First,

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find an actor with a similar body shape to your target. You can see why this

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matters in this test that we did with Plof, who owns a display. When you blow

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it up on a TV, it's pretty easy to spot anomalies like his hat or his beard

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leaving a soft outline. But on your phone, especially with poor eyesight,

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mostly just looks like a guy with a slim face on a chunky body. Oh my god, am I

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allowed to say that? It's okay. I wrote the script. >> Okay. So, we parsed the subreddit then

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for the latest is this Lionus meme and

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chose Chase for our real attempt. We used Deep Face Lab to train a model on

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about 7,000 recent images of my face. And boom, much more convincing. And this

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is both super cool and super scary. It

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was at least 100 times easier than when we did it [music] last time. Syncing up

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the lips with the audio is still pretty tough. But if you keep your clips short

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and you edit them together in a punchy manner with alternate angles and

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close-ups like you typically would, you can splice [music] together something

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pretty convincing and pretty long, one 5 to 7second shot at a time. With that

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said, I'm sure that a lot of you guys could still tell cuz realistically you

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dwell the same corners of the internet that I do and you've been watching with

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a sense of awe and with dread as deep fakes and video generation have gone

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from [snorts] obviously fake garbage to

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oh this requires a little bit of scrutiny. But you savvy viewer are not

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my concern. Many, maybe even most people

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can't tell anymore. and online scams and fraud are increasing [music] every year

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to the point where in 2024 losses are

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estimated at over $1 trillion.

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That number came from Bit [music] Defender, who is in the business of knowing these things. And the scariest

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part is that [music] a huge portion of the scam industry is still using old

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school text to voice phone calls. I

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mean, imagine if you could hit victims with something more like [music] this.

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Hey, I'm in a jam. Can I borrow $5,000?

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And I know some of you guys are probably thinking, "Tough break, boomers. You had

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enough of the wealth anyway." But that's easy to say until it's your family

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member. [music] And we have multiple people in this office who have had

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family members impacted. And again, the scariest part is how easy it was to

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generate that clip. All we needed for it and for the ones at the start of this

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video were start and end key frames.

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Once those were captured, or in many cases just scraped off of an existing

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video or Facebook photo. >> My name is Nicholas Plove and I hate

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displays. >> We got an advanced subscription to openart.ai and it was off to the races.

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Now, to be clear, we're not actually recommending OpenArt.ai. They've gotten

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a lot of deserved hate. It's just that we used it for this project because Sora

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2, which was our first choice, won't let us generate anything with me in it. and

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Open Art allows us to quickly experiment with many different models. Choosing a

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model, by the way, is not as simple as just grabbing the latest one. While

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newer models like Google's V3 might be generally more convincing, they also

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tend to have stricter content guidelines. So, for certain prompts, an

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older model might give a more satisfactory result. Once we settled on

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mostly V3 with a sprinkling of WAN 2.5 and Cling 2.1, we ran into our second

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hurdle. A lot of our prompts, completely

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by accident, I assure you, got flagged as not safe for work. Okay, listen. I

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think it's pretty obvious that I wanted this. But whether it's from past

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experience or from the training data, our video generator thought that I

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wanted this. Anywh who, we got around it by using

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cloud AI to help us create more AI

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friendly prompts to help bypass these guardrails. From there, the biggest

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constraint was just how much money we wanted to burn on tokens. We ended up

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throwing away about five video clips for every [music] one that we were able to

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use. Now, I'm sure a few of you are wondering, why not just create this on

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your own hardware? And that's a totally valid question. With Comfy UI and some

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of the open source models out there, you can create videos, but the DIY ones are

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not as convincing yet, and the performance is pretty rough on consumer

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hardware. With that said, things are moving. so fast that by the time you

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watch this, it'll probably have improved. That leads us to hurdle number

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three. See, a generated actor, unlike a

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deep fake actor, doesn't actually speak.

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So, you've got to line up your clips with separately generated audio. Huh,

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that is enough of a challenge when the subject is stationary. You throw in some

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walk and talk or walk and carry your colleague and things get pretty rough.

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Unlike this WAN deskpad from ltstore.com, we use it all the time and

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it's still nice and soft to the touch. But back on subject, look at this clip.

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Not too bad. Add audio so I can show you

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that I can juggle computers. [music]

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That's a yikes. Now, we tried lip

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syncing services, but those completely fell apart when it wasn't a simple

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talking head shot. So, our editing supervisor extraordinaire Emily used

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Fish Audio to generate a bunch of different audio versions and then we

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picked the closest matches. Perfect. No,

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but this was a just for fun video to see what we could do with limited time and

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with the tools at hand. Scammers, on the other hand, they can spend a lot more

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time and money on these clips if they [music] think they can make money on

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them. That's where the sponsor of today's video comes in. That is one

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thing fake liners was right. It's Bit Defender and their message today is

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pretty simple but very important [music] and it's one that I agree with. Common

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sense is not always enough anymore. What we showed you guys today is just the

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beginning for bad actors out there. Scammers are constantly innovating their

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tactics and rapidly adopting AI, making it more difficult than ever to

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distinguish between what's a real emergency and what's a manufactured call

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that might fool a scared loved one. If you're interested in protecting yourself

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and your loved ones from all sorts of scams, you can get 90 days of Bit

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Defender's premium security product absolutely free at the link below, which

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includes scam protection, your AI powered defense against online fraud.

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Now, let's talk about how to spot a deep fake or a generated scam video.

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Professor Hannie Fared does this for a living and gave a pretty cool TED talk

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earlier this year here in Vancouver highlighting cuttingedge strategies for

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detecting AI imagery. Some of them [music] like analyzing image noise

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probably not going to help the average person that much. But what we can do is

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look at things like shadows and vanishing points. See, we live in a 3D

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space. Whoa. But AI is creating 2D images in an

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attempt to simulate a 3D space. [music] And it's doing that without really a

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proper understanding of the laws of physics that govern light. Let's say you

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stick a light in a room. You know intuitively [music] that shadows will be

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cast away from it. AI kind of gets this

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and tries to get it right. But if you try to align the shadows with the light

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source, odds are that they're not going to converge properly. And the same goes

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for something that human artists have understood for centuries, perspective

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drawing and vanishing points. See, in a real picture, every object eventually

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converges towards what's called the vanishing point on the horizon like this

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and this and this. But AI fails to do

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that and is going to draw lines that don't converge [music] properly. Is this

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always easy or convenient to check? No,

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because unfortunately we are far beyond the days of Will Smith's face melting as

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he eats his [music] non-convergent spaghetti. And depending on the model

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and how much effort someone would put in, sure, you might spot an extra limb

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or lack thereof and instantly know the image is fake. But it's gotten much

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harder to tell right away [music] and is advancing at a rapid pace. So quickly,

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in fact, that these physics quirks today could probably be ironed out in the

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coming months rather than years. So what can you count on? Well, for now, your

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best bet is to be more skeptical about any content that you see, especially on

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social media. Or at least don't rely on it for trustworthy news. And if you see

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anything suspicious, do some digging. Find out if it's real or just more AI

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propaganda. Use other people to help you. Have a look at the discussion. Even

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just looking a little closer to see if there's kind of a weird shimmer around

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an object or if some of the lighting doesn't look quite right. That can help

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you spot the slop. And whatever you do, please don't answer any urgent requests

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for your information or for your money or click on any sketchy links. If

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someone reaches out to you, the safest thing to do is say, "Hey, I'm going to

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call you back at the number that I already have for you." And confirm if

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this is you. Thanks again to Bit Defender for sponsoring this video. They're a global leader in cyber

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security. They've got over 17 years of AI innovation under their belts starting

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in 2008 when they introduced AI and machine learning based threat detection.

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While AI's ability to reproduce and scale tactics is a threat, its

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replication patterns can also present opportunities for detection. We're going

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to have a link for their services in the video description. And I sincerely hope

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this video helps you and your loved ones avoid getting fooled by [music] AI.

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Thanks for watching, guys. If you like this video, maybe check out the last time we tried to deep fake [music] me

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over 5 years ago. It really has come a

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long way. Not even necessarily in terms of the convincingness, but in terms

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[music] of the ease.