Fake AI-generated video of Justin Timberlake drinking beer shocks fans: ‘Where do we go from here?’
An eerie AI-generated video of Justin Timberlake chugging a beer in his now infamous mugshot is making the rounds on social media — leaving many fans shocked over how “convincing” is it.
The short clip, originally created by AI guru Edmond Yang, has already been viewed more than 18,000 times since it was posted online on Wednesday. The AI-generated clip shows Justin Timberlake chugging a beer in his now infamous mugshot. X / @edmondyang
The fake footage starts off with the 43-year-old Cry Me a River singer staring down the camera lens when his mugshot was snapped after his alleged drunk driving bust in the Hamptons last week.
Timberlake then raises the pint glass and slowly downs the beer, the video shows.
“Weve come to a state we can easily fake video REALLY easy now, and as this good?” Yang noted as he shared the clip on LinkedIn.
Another version of #justintimberlake mugshot . Watch till the end ?#mugshot #ai pic.twitter.com/TKVKNWBa15— edmondyang (@edmondyang) June 26, 2024
“Where do go from here?” he added, noting the video was compiled using the Kling AI app. “We have to talk about this.”
Some on social media were quick to hail the original poster’s creativity — down to how strangely real Timberlake’s hands appeared. The short clip, originally created by AI guru Edmond Yang, has already been viewed more than 18,000 times. X / @edmondyang
“Wild. The hands are really good!” one person wrote on X.
Another chimed in, “Im f—ing dead.”
Timberlake was was pulled over and booked on a DWI after leaving the posh American Hotel in Sag Harbor, LI, on June 18.
Hed allegedly blown through a stop sign and swerved out of his lane just prior to being stopped.
The SexyBack singer then told arresting officers hed only had one martini while refusing three times to take a Breathalyzer test, court records show.
His bloodshot-eyed mugshot quickly started being shared widely online and has become the basis of countless memes and AI-generated videos.