Priyanka Tiwari
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Tom and Jerry, the legendary animated duo, have reappeared in a viral AI-generated episode made using TTT-MLP — a machine learning tool developed by Stanford and NVIDIA. The one-minute clip features Tom working in a modern New York office, with Jerry causing his usual chaos by snapping a wire.
What sets this episode apart is its creation method: entirely produced using text prompts. The tool can generate animated scenes with little human intervention, signaling a shift in how animation might evolve.
Public Opinion Divided Over AI Execution
Reactions across social media platforms like Instagram have been divided. Some viewers criticized the episode for lacking the emotional nuance and charm of the original hand-drawn series. Comments ranged from “soulless” to “haunting,” reflecting discomfort with the new format.
Concerns were also raised about the future of human artists. “This will steal all the effort from animators with a unique style,” one user commented.
Animation Quality and Legal Questions Raised
Several users flagged the visual flaws in the episode. The animation, although technically advanced, was described as awkward and lacking coherent storytelling. “There’s a lot of errors!” noted one commenter, while others found the experience unsettling.
In addition, some questioned the legality of creating such content using existing intellectual property. “How is this not copyright infringement?” asked one viewer, sparking debate about content ownership in the age of AI.
Some Praise the Technological Progress
Despite criticisms, some viewers expressed admiration for the technological leap. “Woah! We’ve come so far,” one user wrote. Another speculated on the future value of such technology, noting, “In 30 years, this tech is going to make people very wealthy.”
A Preview of Animation’s Future?
While the AI-generated Tom and Jerry episode is far from perfect, it serves as a conversation starter about the future of animation and storytelling. The project demonstrates the potential for AI in content creation — and the challenges it poses to traditional artistic industries.
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