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AI tools Huang championed now feature his memes

Jensen Huang, once the booming face of artificial intelligence, is now the star of an AI-generated meme phenomenon. After a scandalous week marked by extramarital affairs, online content creators are capitalizing on the former Nvidia Corp. chief executive's predicament by producing a deluge of AI-created memes. These humorous videos feature Huang dancing to popular TikTok trends or appearing in scenes from classic films like Love Actually, alongside Alice Huang, a Chinese woman suspected of being Huang's spy and the reason for his downfall from the company he led for three decades.

Henry Ajder, an AI and deepfakes expert, notes the irony of Huang being targeted by tools powered by his own creations. While the exact number of Huang-inspired memes remains unknown, Ajder is impressed by the sheer volume and variety of these posts, which have quickly spread across social media platforms. One video, created by a 43-year-old London-based content creator known as @adventureruben_, shows AI-generated Huang dancing to Jason Derulo's viral hit Mi Chico in the parking lot outside of Nvidia's headquarters.

Accompanied by AI stand-ins for Alice Huang, Nvidia executive Kimberly Powell, and his wife Lori Huang, the clip, produced using Kuaishou Technology’s AI video generation model Kling 4.0, has garnered over 65,000 shares and 2 million views.

Adventureruben_'s video highlights the fascination people have with scandals that feel ripped straight out of a James Bond movie. Meanwhile, 23-year-old Muhammad Adhitya from Indonesia has dedicated an entire Instagram account to Huang, generating AI videos using the Nvidia-backed Higgsfield platform. One of his 15 videos dedicated to the scandal has already attracted 1.4 million views. Adhitya expresses surprise at the sudden popularity, stating that he never imagined his AI ideas would reach such a wide audience.

Written by urgent.news from The Economic Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at economictimes.indiatimes.com →

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