Researchers have found that the carbon footprint of Generative Artificial Intelligence based tools that can turn text prompts into images and videos is far worse than we previously thought.
As detailed in a new paper, researchers from the open-source AI platform Hugging Face found that the energy demands of text-to-video generators quadruple when the length of a generated video doubles — indicating that the power required for increasingly sophisticated generations doesn’t scale linearly.
For instance, a six-second AI video clip consumes four times as much energy as a three-second clip.
“These findings highlight both the structural inefficiency of current video diffusion pipelines and the urgent need for efficiency-oriented design,” the researchers concluded in their paper.
Experts are warning that we’re rolling out generative AI tools without a full grasp of their true environmental impacts. READ MORE...
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