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UCLA researchers have unveiled a novel AI system that leverages light‑based processing to scan multiple videos at once, achieving nearly 98% accuracy in identifying deepfake content. The approach offers ultrafast analysis, low energy consumption, and inherent resistance to adversarial attacks, positioning it as a potent defense against the surging tide of AI‑generated synthetic media. This breakthrough matters because it addresses a critical security gap: current software‑only detectors struggle with scale and can be easily fooled, while the light‑powered method provides both speed and robustness. Watch for upcoming deployments in media platforms, potential integration into content‑moderation pipelines, and further research into expanding the technique to other AI‑generated threats such as audio deepfakes. [[1]]