You Can't Believe Anything On The Internet After This...

Summary

The video script discusses the alarming capabilities of a trending GitHub deep fake tool, which allows for real-time face swapping and video manipulation. It demonstrates the ease of setting up the technology and warns of its potential misuse, as evidenced by a $25.6 million scam involving a Hong Kong finance worker deceived by deep fakes. The script guides viewers through the setup process on Windows, highlighting the need for caution and ethical considerations, and concludes with a chilling demonstration of the tool's effectiveness, urging skepticism towards online content.

Takeaways

• 😨 The script discusses the alarming ease of setting up a deep fake tool from GitHub that can manipulate real-time video feeds.
• 🌐 It emphasizes the current prevalence of deep fake technology, as evidenced by its trending status on GitHub and widespread news coverage.
• 🎥 The video demonstrates real-time face swapping using the tool, with examples of well-known figures like Elon Musk and Mark Zuckerberg being deep faked.
• 💡 The script highlights the potential for deep fakes to be used maliciously, citing a case where $25.6 million was scammed in a virtual meeting.
• 🛠️ The setup process for the deep fake tool is detailed, including the need for Python, PIP, Git, FFmpeg, and Visual Studio 2022 runtimes.
• 💻 The video explains the technical requirements, such as having a good GPU for better performance, especially on Windows systems.
• 🔒 The script mentions the ethical concerns and supposed safeguards built into the software to prevent inappropriate content, but questions their effectiveness.
• 🚀 The tool's capabilities are showcased, including real-time face swapping and one-click video deep fakes, with a focus on its multiplatform availability.
• 👀 The video illustrates the varying quality of deep fakes depending on the image resolution and the performance of the user's webcam.
• 📈 The script suggests a future where deep fake technology could be more perfected and optimized, raising concerns about the trustworthiness of online content.
• 🌟 The video concludes with a warning about the potential dangers of deep fakes and the importance of skepticism when consuming online media.

Q & A

What is the main topic discussed in the script?

The script discusses the use of a trending GitHub deep fake tool that can create real-time face swapping and video deep fakes, and the implications of such technology on trust in online content.

What is the significance of the deep fake tool mentioned in the script?

The deep fake tool is significant because it can create convincing real-time video manipulations, raising concerns about the authenticity of online videos and the potential for scams and misinformation.

What was the reported incident involving a Hong Kong based finance worker?

The finance worker was scammed into paying 25.6 million USD after meeting with deep fakes in a virtual meeting, believing they were interacting with legitimate business people.

What are the ethical use safeguards mentioned in the script?

The ethical use safeguards refer to built-in checks within the deep fake software to prevent the processing of inappropriate content, although the script questions the effectiveness of these safeguards.

What are the technical requirements for running the deep fake tool?

The tool requires Python 3.10, PIP, Git, FFmpeg, and Visual Studio 2022 runtimes. Additionally, a powerful GPU, such as Nvidia CUDA, can enhance performance for real-time processing.

What is the role of CUDA in the deep fake tool?

CUDA is a parallel computing platform and API model that allows the deep fake tool to leverage Nvidia GPUs for faster and more efficient processing of deep fake videos.

What is the importance of the virtual environment when setting up the deep fake tool?

A virtual environment is important to isolate the project dependencies from other Python projects and to avoid conflicts or issues with package versions.

How does the script suggest one should approach downloading and installing the deep fake tool?

The script suggests downloading the tool from GitHub, installing the necessary dependencies, and using caution, possibly running the software in a virtual machine to avoid potential risks.

What is the potential impact of deep fake technology on future online interactions?

The potential impact includes a decreased level of trust in online content, the need for better verification methods, and the possibility of increased regulations and policies around AI-generated content.

Why does the script mention YouTube's policy on AI-generated content?

The script mentions YouTube's policy to highlight the growing concern and need for transparency regarding AI-generated content, as it becomes increasingly difficult to distinguish between real and fake videos.

Outlines

00:00

😟 The Perils of Deepfakes on the Internet

The speaker, Mudahar, introduces the audience to the concept of deepfakes, particularly focusing on a trending GitHub tool that enables real-time face swapping and video manipulation. He emphasizes the ease of setup and the potential dangers of such technology, citing a case where a Hong Kong finance worker was scammed of $25.6 million through the use of deepfakes in a virtual meeting. The speaker also mentions the ethical concerns and built-in safeguards of the software, while highlighting the responsibility of the users to use the technology ethically.

05:02

🛠️ Setting Up the Deepfake Software on Windows

The script provides a step-by-step guide for setting up the deepfake software on Windows 10 or 11. It starts with the installation of Python 3.10 from the official website and continues with the setup of PIP, the Python package installer. The guide then covers the installation of Git, FFmpeg, and Visual Studio 2022 runtimes, which are essential for the software to function. The speaker also advises creating a new workspace and ensuring there is enough free space on the computer for the software to operate effectively.

10:02

🔧 Configuring the Deepfake Environment and Models

After cloning the deepfake repository and ensuring the necessary software components are installed, the speaker explains the process of setting up a virtual environment to avoid conflicts with other Python projects. This includes creating and activating the virtual environment named 'livecam'. The speaker also details the installation of required packages using PIP and the importance of updating Python tools within the virtual environment. Additionally, the process of downloading and placing model files into the appropriate directory within the repository is described.

15:03

🎥 Live Demonstration of the Deepfake Tool in Action

The speaker demonstrates the live functionality of the deepfake tool, showing how it can overlay the face of a person onto the user's live camera feed. The demonstration includes selecting different celebrity faces, such as Elon Musk, Steve Carell, and Billy Butcher, and applying them in real-time. The speaker discusses the performance of the tool, noting that it works better with lower-resolution webcams and that the quality of the output can be affected by the quality of the input image and the capabilities of the user's hardware.

20:03

😱 The Ethical Dilemma and Future Implications of Deepfakes

In the final paragraph, the speaker reflects on the ethical implications of deepfake technology, expressing concern about the potential for misuse and the difficulty in discerning truth in digital media. He discusses the challenges that deepfakes pose to authenticity and trust on the internet, especially with the increasing sophistication of AI-generated content. The speaker also touches on the need for platforms like YouTube to implement policies that require disclosure of AI-generated content, emphasizing the importance of skepticism and critical thinking in the digital age.

Keywords

💡Deepfake

Deepfake refers to synthetic media in which a person's likeness is swapped with another's using artificial intelligence. In the video, deepfakes are central to the theme, demonstrating how easily one's identity can be manipulated in real-time, as seen with the examples of Elon Musk and Mark Zuckerberg being deepfaked onto different individuals.

💡GitHub

GitHub is a platform for version control and collaboration that allows developers to work on projects and share their code with others. The script mentions GitHub as the source of the trending deepfake tool, indicating the platform's role in disseminating technology that can be both innovative and potentially misused.

💡Real-time face swapping

Real-time face swapping is a technology that allows for the immediate replacement of one person's face with another in a live video stream. The video script describes this technology as a feature of the deepfake tool, emphasizing its ability to generate deceptive content instantaneously.

💡Ethical use safeguards

Ethical use safeguards are built-in measures intended to prevent the misuse of technology. The script mentions these safeguards in the context of the deepfake tool, questioning their effectiveness given the tool's ability to create convincing and potentially harmful content.

💡NSFW (Not Safe For Work)

NSFW is a label used to tag content that may be inappropriate for a professional setting. The video discusses the deepfake tool's capability to create NSFW content, raising concerns about the ethical implications of such technology.

💡Python

Python is a widely used high-level programming language that is essential for setting up the deepfake tool, as described in the script. It is highlighted as a requirement for running the software, indicating its importance in the field of computer programming and AI.

💡Nvidia CUDA

Nvidia CUDA is a parallel computing platform and application programming interface (API) model that allows for GPU computing. The script mentions CUDA as a necessary component for the deepfake tool to function optimally, demonstrating the reliance on powerful graphics processing for AI tasks.

💡Virtual machine

A virtual machine is a software emulation of a computer system. The script suggests using a virtual machine to run the deepfake software as a precaution against potential risks, illustrating the importance of cybersecurity measures when dealing with unfamiliar software.

💡FFmpeg

FFmpeg is a free and open-source software project that handles multimedia data. In the context of the video, FFmpeg is required to install the deepfake tool, showcasing its utility in processing audio and video data.

💡Visual Studio

Visual Studio is an integrated development environment (IDE) used for developing applications. The script refers to Visual Studio 2022 runtimes as part of the setup process for the deepfake tool, underlining the role of IDEs in software development and deployment.

💡Virtual environment

A virtual environment is an isolated space for Python projects, allowing developers to manage dependencies without affecting the system's global state. The video script describes setting up a virtual environment before installing the deepfake tool's requirements, emphasizing best practices in Python development.

Highlights

Introduction of a trending GitHub deep fake tool that raises concerns about trustworthiness on the internet.

Demonstration of real-time deep fakes using a live webcam, emphasizing the ease of setup and potential for misuse.

A case study where a Hong Kong finance worker was scammed of $25.6 million through a virtual meeting with deep fakes.

Introduction to 'deepfakedeeplivecam', a tool for real-time face swapping and video deep fakes.

Discussion on the ethical use safeguards and the presence of a built-in check to prevent inappropriate content processing.

Instructions for setting up the deep fake tool on Windows 10 or 11, including the installation of Python 3.10.

The necessity of a powerful GPU for better performance of the deep fake software and the support for Apple Silicon.

The importance of using a virtual environment for the deep fake project to avoid conflicts with other Python projects.

A step-by-step guide on installing necessary dependencies such as pip, git, ffmpeg, and Visual Studio 2022 runtimes.

The process of cloning the deepfake repository and setting up the workspace for the live cam software.

The use of CUDA for Nvidia GPUs to enhance the performance of the deep fake tool.

Live demonstration of the deep fake tool with various public figures, showing the effectiveness and limitations.

The impact of camera quality and lighting on the performance of the deep fake software.

Concerns about the availability of NSFW options within the deep fake tool and the lack of robust ethical safeguards.

The potential future implications of advanced deep fake technology, predicting a time when trust in online content will be significantly diminished.

A final warning about the increasing difficulty in discerning real from fake content on the internet due to the advancement of AI technologies.

The presenter's personal reaction to the capabilities of the deep fake tool, expressing fear and apprehension about its potential misuse.

Transcripts

hello guys and gals me mudahar and you

know you can't trust anything you see on

the internet ladies and gentlemen uh I

want to start off by showing you the

most trending GitHub deep fake tool

right now that's been all over the news

it's been uh kind of shared around and

it's scary easy to actually set up so I

wanted to dive into it and show you how

it works and show you the real fear of

believing anything on the internet

anymore now uh the other day I saw this

post uh number one trending GitHub

where they were just showing like Elon

Musk deep faked onto an individual like

literally on camera and this was all

happening live so there was no like long

20 minute process to make this video it

was actually happening with a live

capture of somebody's webcam now to give

you an idea that is insanity okay

imagine joining a zoom call or something

and finding out whoa you just got

scammed I mean there is an entire like

literal story of like you know

literally this year February of this

year Finance years scammed of $25.6

million after meeting with deep fakes

okay a Hong Kong based Finance worker

was scammed into paying 200 million Hong

Kong dollars which is 25 million 25.6

million us doar in a virtual meeting

with deep fakes okay literally he

thought he was talking to actual

business people in reality it was just

Tom Dick and Harry using a deep fake

tool so here I've got the actual thing

open deep fake deep deep live cam which

is the next leap in real time face

swapping and video deep fake technology

so if you look at this actual video tool

over here you can see that somebody has

deep faked Mark Zuckerberg onto them and

uh you know of course if you refresh you

can see other people like JD Vance for

instance uh and then of course it just

keeps going from there now you might

look at this and be like ah it looks a

little fake muda but in the middle of a

call Imagine like somebody who has no

idea of technology or anything Falls for

this so I look into this stuff and

it says it apparently works locally on

your CPU your Nvidia Cuda so really any

Nvidia GPU the better the GPU the more

CA course the better and of course if

you got an apple silicon laptop or a Mac

Pro with Apple's Hardware you can do it

right there as well so what they said is

they've got realtime face swapping

oneclick video deep fakes multiplatform

and what they say is ethical use

safeguards so built-in checks to prevent

processing of inappropriate content so I

went to their actual thing and by the

way it is a trending repository it

literally is like on the list like

number five where it says realtime face

swap and oneclick video deep fake today

alone it has 1,600 Stars so I go over to

their actual trending Depot over here

and of course you can see boom boom boom

you've got the whole Elon Musk demo

there and what they actually have said

is please use this software responsibly

while abiding by local laws the

developers of the software are aware of

it possible unethical applications and

are committed to take preventative

measures against them I want to say that

that's CU I went to the credit

section and they use something called

GSU DRM for uncensoring groups if you

open it up you can literally like create

deep fake NSFW pieces I mean even in the

software alone they have a tick for NSFW

so I don't know what kind of ethical

safeguards they have so how do you get

this thing up and running you might be

wondering well if you're on Windows and

I'm going to basically set this for

people who are using Windows 10 or 11

just because I think that's where most

of the user base is most people even

watching if you're on Linux this whole

process you probably understand how to

do it so one thing you need is python so

you go to python.org and you basically

go to the downloads Tab and according to

their GitHub they say they need version

3.10 so inside over here you want to

scroll down and look for version 3.10 in

this list and boom right here from

October 4th 2021 you want to download

that and basically install version

310.com is that safe honestly always run

any of the software with like actual

care uh just because you know you never

know what you're running especially you

know stuff off of GitHub uh I'm in a

virtual machine so I really don't care

uh what the software is going to do but

I would wager to have Extreme Caution I

am not responsible for anything you run

on your system okay if you don't trust

it don't run it so inside over here you

want to type in py just to make sure

python works and you can see that I've

got version

just basically get out of python right

there now inside here you want to do you

want to get PIP so basically what you're

going to do over here is you're going to

go look up pip on Google and usually it

be like https Pip piper. this pip

documentation and over here you're going

to go into it and effectively it's going

to tell you underneath the windows

option to make sure you type in the

command underneath your terminal like we

just opened py- M Ure pip uh D two

dashes and upgrade okay so you're going

to pass these arguments you're going to

make sure all these requirements are

satisfied and then you're going to

download this script get PIP dopy so

from this actual page you can rightclick

save the link as and just save it in any

specific folder so for instance on my

desktop I have it saved in py

install so if you want to navigate to

that entire area underneath a terminal

type in LS to view what uh directories

you can go into to so I have to go into

my desktop because it's on my desktop so

CD desktop and then of course LS again

but if you know the actual folder like

we saw Pi install go to CD Pi install

hit enter and over here you can type in

pi and then

get- pip or or pip py so as you run this

directory in again administrator mode

it'll install pip as that dependency now

next thing you know you'll need is git

now underneath Windows you can go to

get- scc.com but more importantly go to

that download for windows inside

download for Windows if you have a tool

known as wi get and if you're on Windows

11 and I think even 10 you should it's

like a Windows uh package installer tool

so all you see is this command highlight

that right click copy and what you do in

your command processor or Powershell you

want to paste that in there hit enter

and it's going to download that for you

now I've already got it installed but

it'll go through the whole process of

setting up git for you next you need ff-

or sorry

ffmpeg and this links to a YouTuber's

video known as troubleshoot and he's

created one simple command line you need

so again underneath a Powershell or that

terminal right copy this whole iirm FFM

Peg tc. HD and you can paste that in

here hit

enter actually wait it's not

reporting yeah there it is I just need

to enter that way and it'll just

basically handle it for you it'll do

it'll install all the dependencies and

it'll ask you which version you want for

just safety sake just do the full

version and type in three and it'll go

through that process for you so next you

need Visual Studio 2022 runtimes so you

go over here and it takes you to

Microsoft C++ build tools so you want to

download these tools and you want to

just run them and it'll allow you to

download right from Microsoft these

visual installer dependencies so it's

not explained well in this read me but

I'm going to show you exactly what you

need to click what it'll ask you is

Visual Studio build tools 2022 so I've

already got it installed but usually

it'll give you a screen that looks like

this what you want to do is make sure

you tick development or desktop

development with C++ once you have that

ticked you can install that and it'll be

like 8 gigs but it will install all of

the tools and uh what you need for again

running this repository now at this

point we're going to create a new

workspace and actually get this camera

software working so make a new folder on

your desktop and call it something like

live cam for instance now you want to

have around I want to say 40 gigs of

free space because we're going to need a

lot of scratch to work with just to get

things situated and ready to go so open

up this folder right here and this is

something located literally on your

desktop now to navigate to that folder

because we're at the user directory and

whatever your username is do CD desktop

all right and you can hit the tab key so

it autocompletes for you and that way

you'll know that that folder actually

exists versus trying to go crazy hit

enter and then do CD type in Li for a

livecam hit Dash and it'll tell you that

you can go to the livecam directory now

if you type in LS nothing exists but at

this point we're going to type in git

clone and we're going to copy this URL

from here in this repository now what

that'll do is it'll actually clone that

g deep lifecam repository so we can work

with that now at this point do CD and

type in dash and it'll take you to the

next folder the repository you just

cloned so at this point you want to

download these two models gfp Gan and

ion swapper and then what you do is

download those two uh files go into that

deep live deep live cam folder your

repository and in that models folder

just Place those two files there so

these aren't really big files like 270

Megs 340 megabytes these are just models

and at this moment in time go back to

the terminal and all you want to do is

type in PIP install d r requirements.txt

but before we go into that you want to

set up a virtual environment now before

we continue we need something known as a

virtual environment so we run you know

not across many issues or something as

we proceed through this project so here

on the actual terminal as I'm in that

desktop livecam deep livecam folder we

want to type in py- M okay and then

we're going to type in venv and then

come up with a name like I guess live

cam for instance right and then just hit

enter and what you'll notice is a new

folder is getting made known as live cam

this is the virtual environment that we

need to activate this virtual

environment all we're basically going to

do is type in

in/

livecam and then we're going to go in

before we hit enter we're going to type

in SC hit Dash it'll take us to scripts

and then at this moment we're going to

type in activate and hit enter and

you'll notice that now you have this

little live cam that denotes that you're

actually in your virtual environment now

we can actually proceed through and call

upon those requirements now one thing

they don't mention in this read me and

one issue that I came across was keeping

a lot of the build stuff that I needed

updated so one actual thing you should

add right after you get into your

virtual environment is Type in the words

all right you want to go in and do pip

install Das upgrade and then you want to

do upgrade pip you want to upgrade setup

tools and you want to upgrade wheel so

again because you're an administrator

hit enter it's going to meet all these

requirements it's going to you know

remove old packages and update

everything so as this this is done

everything is you know up to date and we

can now proceed with actually running

those

requirements actually one mistake right

here it says could not install packages

due to an OS error I didn't actually run

this in a uh administrator so that's

pretty simple now because we've upgraded

and kept everything there everything

seems to work we have no issues

everything is running at the

administrator level now to get things

going you type in PIP install d r

requirements. text and as you hit enter

it's going to basically collect all of

this information maybe you have it

cashed I've already done this before and

it's just going to build for you so this

moment in time you can sit back grab a

beverage maybe eat a sour boy strip I

don't know and call it a day all right

you're going to come back once this is

done and then you can actually start

with all of them now like a '90s cooking

show I've already done this well in

advance so I've got my own directory

over here with a bunch of video files

that were all generated using this tool

but to give you anidea idea I'm going to

open up my version and I'm going to show

you how this runs so once everything is

good and ready to go inside your virtual

environment all you have to do is type

in the words python

run.py now if you want better

performance and I'm sure you do

especially if you're on Windows because

without a graphics card or any

accelerator this just gives you a black

Square on your face uh if you're on

Linux things seem to work just fine

that's just because Linux is better

anyways point of the matter is if you

have a Nvidia graphics card card you

download the Cuda toolkit from nvidia's

uh page where you go over here download

for Windows and again your specific

operating system you install that it

actually changes the display driver on

your system so that you can actually run

this tool then you run these two

uninstalled dependencies and install

just so uh again all within your virtual

environment and again this all changes

depending on which system you're doing

so if you have apple Legacy or apple

silicon you can go there if you have a

windows-based AI system you can go there

but yeah generally this is how you want

to do it and obviously when you're

launching it you go back to the tool and

you add an extra argument such as

execution provider and you can give it

Cuda for instance if you're on Nvidia

but if you're on you know Apple use like

core EML and for every other device

they've got a different mention so I'm

going to hit enter and just launch this

tool so it's going to take a little

second but it'll fire up and boy oh boy

be ready to be shocked so when you fire

up the tool right over here it gives you

this like you know pretty simple

interface so what you basically do is

you select a face real quick so inside

over here I've got a few scratch

workspaces so I've got Billy butcher

okay because I know a lot of y'all

say well maybe you look

like Billy butcher if you don't shape

I've seen that comment on YouTube too

many goddamn times uh Elon Musk for

instance okay all right right here and

of course I've got Steve Carell or

Michael Scott from the office so none of

these images are necessarily crazy as

you can see the dimensions for the Billy

butcher image are like 360x 424 nothing

crazy high res elon's got a 2364 by 2364

image clearly the crispiest of them and

Steve Carell sitting at 1080p so what

you basically do is you throw in any

image and here I've got Elon Musk right

there now if I hit the live tab it's

going to basically take my camera input

and give me something juicy so we're

going to hit live and just see what it

provides okay I have to do it again I

have to I have to remove my uh camera

from the actual OBS so it's going to

take a little bit of time and on your

first run it's probably going to

download a few models from the internet

but as you can see it's fired up this

camera preview which you can feed into

OBS for a recording but here you can

actually see I've got good old Elon Musk

running live now this is laggy and it's

not going to be as smooth as people

you've probably seen on the internet and

that's because this camera in specific

is feeding in a 4 K 30 frames at worst

1080p 60 frames through an actual DSLR

if you have one of those like camera

webcams or or like you know something

built into your laptop where it probably

you know captures of like 480p 720p if

you're lucky or it has the ability to

scale you know really low quality

footage and send that in it's going to

work better underneath this software and

also you know if I move out of frame for

instance you can see that obviously the

performance has gotten a lot faster it's

just when I get in and it actually has

to start calculating is when things slow

down now if you look at the performance

on the system you can see that my GPU is

being used like 30% all the way through

now obviously I can replace uh again

different images that I have over here

so I can go and put Billy Butcher on and

hit live right here and uh bam it's

actually not half bad you know if I had

a slightly lower quality webcam this

might actually work

this might actually really work this

this might actually fool somebody who

doesn't know anything better obviously

it's going to have issues deep faking

somebody of different ethnicities onto

each other okay so yeah this is what

apparently I would look like if I was

good old Billy now of course around the

lips it's not working so well like if

I open up yeah it's failing there it's

so crazy how you can actually do this in

near real time and obviously with a

lower quality webcam would have been a

lot easier but of course if I had in

like Steve Carell this should be

absolute oh that is downright

diabolical I look like I'm from

Planet of the

Apes but yeah obviously the image

depends like this is a smiling picture

or like one where he has like the smile

caked in so it's not easy to obviously

get going but again what's insane about

this is that if you take a camera real

quick you can actually that's

crazy oh

God that's freaky dude hold on

let me let me try it again let me try it

with like the Billy butcher face let's

go

oh that's so wild

dude and like hold on if I let me just

let me just turn this off here real

quick all right get rid of the get rid

of lighting a little bit okay so

different lighting scenarios fire this

up oh

oh my face went back what the dude

that's scary as God damn now

obviously I don't want to promote the

the NSFW option and I'm I'm actually

shocked when they were talking about

being against certain safeguards that

they would even keep that available but

literally in this video I've shown you

that it can take literally minutes to

get things going from an actual like uh

Ju Ju Just if you have no knowledge of

any of this of how to use like python or

anything it literally takes less than 30

minutes to get this going on anybody's

gaming computer and depending on the

graphics card that you have it

apparently allows you to make near

realtime footage of things so for

instance I recorded this 20 second uh

video footage of me so you can see right

over here this is just like me and

obviously looking into the camera moving

my head around and of course I'm shining

a light on my face so at this moment in

time I decided to take you know all all

those three different images and put it

through this tool so here's butcher

captured obviously with every frame uh

you know inserted and all using this one

simple tool if you move your camera

around this is convincingly scary that

somebody could get this running on their

system so again to look at the lighting

on my face reflected like that is

downright scary and all of this is fed

from one image of one person so of

course with Elon Musk it gets a little

bit difficult just because um I think

it's trying to capture a smile when it

can't but obviously with the mouth

closed it's scary the only thing that's

like really giving it away for me is

when it tries to auscap my beard and

change the facial hair to match whatever

elon's facial hair was in in the uh in

the in the source image now obviously

Michael Scott's downright the scariest

and this is with something known as

facial enhancer so this took around 10

minutes to render versus the 2 minutes

so obviously the face looks a little bit

clearer but uh yeah it's it's

interesting how it like captures the

light really well like this part scares

the out of me and here you can

actually see a break in the system so as

the light was being casted right here it

has this moment where it like just

breaks like I don't know if it's trying

to generate glasses on me but yeah other

than that it corrects itself and it

casts appropriately so yeah we're

getting to a point where again this is

just what it's like in 2024 imagine in

2026 when tools like this are perfected

even more it gets more optimized

graphics card technology ends up getting

better we're reaching a point guys where

you cannot trust anything on the

internet anymore man I am actually

downright scared I am

shocked I'm freaked out dude that was

some really impressive piece of software

and I can see unfortunately why it's

trending obviously we sit in a world

where people are worried about fakes

YouTube itself has a policy where it

wants you to denote if content in a

video was generated using artificial

intelligence and uh YouTube is going

hard in making people state that because

again if you don't have watermarks or

proper safeguards somewhere down the

road in the future you could have a

YouTuber making a video where they say

some outof pocket and it turns out

it wasn't even that YouTuber but you

might not even be able to tell that

anymore if there are some faked video

footage like this faked audio faked

everything believe anything you hear on

the internet with a grain of salt

especially after this year because

everything's about to change anyways

this is me Billy Butcher and I'm out