
A unique video of strands of spaghetti 'dancing' has gone viral after it was created using generative AI.
The video has garnered more than 48 million views so far. In the video, pasta strands are seen moving like human dancers. The video was created by James Gerde (@gerdegotit), who specialises in AI animations.
The caption says that this generative art has been created on the basis of an acrobatic video by the duo @acro_connection. In the viral video, the spaghetti strands are seen moving in a complicated but synchronised manoeuvres. The caption says, "Food is my love language."
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Many Instagram users were captivated by the "dancing spaghetti". One user said, "I will never, ever be able to eat spaghetti again without thinking of this video!"
"I am very curious about your process to achieve such smooth render and animation," said another.
A third user said, "Now I love spaghetti even more!" "She likes it Al dente," wrote another.
"I watched this so many times and each time it made me smile..thank you for sharing this...so beautiful and creative," a user said.
"Your work is mesmerising," another user wrote.
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A social media user said, "So beautifully said! It's amazing how, in the right hands, even pasta is an artistic medium. I don't know how you did it, but congratulations!"
"I just ate pasta one minute ago and now this making me feel weird," commented a user.
"No wonder my dish takes forever to come out. They must be doing a whole routine first," said an Instagram user.
"This video of spaghetti transforming into a dance between a man and a woman has deeply moved me. It's a fleeting representation of the beauty and fragility of human life, an invitation to seize every moment with gratitude and love. Just as strands of pasta intertwine, so do our lives briefly intersect with others, leaving an indelible mark on the hearts of those we meet along the way. May this video remind us to live intensely, love deeply, and cherish every single moment, for each moment holds a beauty we could never replicate," wrote a user.
(With inputs from agencies)