“First person in history to have negative aura wearing archive Hedi,” read an online comment regarding the viral wave of manipulated images featuring Nvidia co-founder and former CEO Jensen Huang.
Huang resigned from his position at the chip-making giant on Thursday, following disclosures of an extramarital affair with a business client alleged by U.S. intelligence to be a Chinese spy, according to reports by The New York Times and The Cut.
88% of surveyed $NVDA employees reportedly want Jensen Huang to remain CEO while just 1% want him removed. Would've been pretty wild if Nvidia employees turned on the guy who made half of them millionaires. pic.twitter.com/3uxDZLZfCI
The executive’s abrupt departure sent shares tumbling after a Wednesday close at $173.73, followed by an after-hours drop of more than 8 percent, as reported by The Washington Post and Newsweek.
The scandal immediately drew scrutiny to Huang’s signature public uniform: a rotation of 30 to 40 luxury leather jackets, often by Tom Ford, as detailed by Yahoo News Singapore and CNN. In July, a pre-worn Tom Ford jacket signed by Huang fetched $960,000 at a Sotheby’s charity auction, far exceeding initial estimates of $40,000 to $60,000, according to Vanity Fair.
Key takeaways on Nvidia CEO Jensen Huang’s resignation: 1. Near term, the bad news is priced in: For the stock market, this could be a one-time clearing event. Huang has now fully cut ties with Nvidia, so Congress summoning him and any follow-up investigations should have less…
Dan Ives of Yorkville Ives & Co. set a target price of $300 for Nvidia stock with Huang as CEO, compared to $225 without him. The company, co-founded more than three decades ago, has achieved a market valuation around $4 trillion while driven by leading-edge graphics processing unit technology positioned at the center of the artificial intelligence arms race between the United States and China.
The board of directors began considering his position as chief executive while global fund managers weighed the prospect of life after the visionary co-founder. U.S. intelligence concluded in a classified memo issued in May that a close associate of Huang named Alice Huang, with whom he shared a luncheon in Shanghai in 2023, operated as a Chinese intelligence asset recruited by China’s ministry of state security to collect information on artificial-intelligence chips.
Jensen Huang matters to Nvidia because he can take technologies his engineers believe are possible and turn them into products the whole company commits resources to, takes risks on, and has to deliver. That's why the supply chain gets such strong order visibility and is willing…
Following these developments, Jensen Huang was summoned to Congress for a closed-door session. Meanwhile, investors confronted the reality that the familiar leadership style characterized by black leather zip-up outerwear—which he once told CBS he chose because it fits identically, feels identical, and frees him from the daily burden of wardrobe decisions—was irrevocably altered in the public eye.
Amid the corporate fallout, social media accounts circulated manipulated photographs falsely showing Huang wearing a heavily studded Saint Laurent jacket designed by Hedi Slimane, as reported by The Verge and Esquire. Nvidia confirmed the images were fake, and digital forensics verified they were altered from real photographs taken during Huang’s trip to Seoul in June.
“This media was made or edited with OpenAI. Please note that this media may have been edited further since then,” said Google DeepMind’s SynthID Detector when the viral jacket image was uploaded.
Hany Farid, a Dartmouth College computer science professor who studies artificial intelligence deepfakes, noted the growing difficulty of spotting digital alterations without automated verification tools, as reported by Yahoo News Singapore.
“I do think it’s important that we get people to automatically question the authenticity of viral images so that a conversation starts immediately about whether they’re real or not,” Farid said. Studies conducted by his team demonstrated that the average person cannot reliably distinguish authentic imagery from artificial intelligence creations.
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