Deepfake Jensen Huang Crypto Scam Outdraws Real Nvidia GTC Keynote by 5x on YouTube

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A sophisticated deepfake livestream featuring Nvidia CEO Jensen Huang promoting cryptocurrency scams attracted nearly 100,000 viewers, five times more than the official GTC keynote. The fake stream used AI-generated video to deceive viewers into scanning QR codes for fraudulent crypto investments.

Deepfake Scam Overshadows Official Nvidia Event

A sophisticated deepfake livestream featuring an AI-generated version of Nvidia CEO Jensen Huang successfully deceived thousands of viewers during the company's official GPU Technology Conference (GTC) keynote on October 28. The fraudulent stream, hosted on a YouTube channel called "NVIDIA Live," attracted nearly 100,000 viewers at its peak—approximately five times more than the legitimate GTC keynote, which drew only around 20,000 live viewers

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Source: pcgamer

Source: pcgamer

The fake stream ran concurrently with Nvidia's actual Washington, D.C. event and appeared as the top search result when users searched for "Nvidia GTC DC" on YouTube, giving the scam unprecedented visibility and reach . CRN senior editor Dylan Martin first spotted and reported the fraudulent stream on social media before it was eventually taken down after running for nearly an hour

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Cryptocurrency Investment Fraud Scheme

The deepfake Huang promoted what he called "a crypto mass adoption event that ties directly into Nvidia's mission to accelerate human progress," according to transcriptions of the fake presentation

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. The AI-generated CEO discussed Nvidia hardware's capabilities for cryptocurrency mining and claimed the company was launching a new "crypto distribution" platform

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Viewers were urged to scan QR codes displayed on screen that would supposedly help them participate in this fraudulent investment scheme. The fake Huang claimed that any supported cryptocurrency sent to the linked wallet would be converted into Bitcoin and returned with profits—a classic cryptocurrency doubling scam that would have resulted in complete loss of funds for any participants

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Source: TechSpot

Source: TechSpot

Technical Quality and Detection Challenges

While some viewers noted that the deepfake had stilted delivery and odd pacing that made it less convincing to careful observers, the technology was sophisticated enough to fool casual viewers unfamiliar with Huang's typical presentation style

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. The abundance of available footage from Huang's numerous GTC presentations—he has hosted four conferences this year alone—provided ample training data for creating a convincing deepfake

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The incident occurred just one week after YouTube launched its new Likeness Detection tool designed to combat deepfakes, raising questions about the effectiveness of current detection systems

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. The exact number of viewers who fell for the scam remains unclear, and it's unknown how many of the 100,000 accounts were legitimate users versus bots

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Broader Implications for AI Security

This incident represents part of a growing trend of deepfake-enabled cryptocurrency scams targeting high-profile technology figures. Similar schemes have previously used AI-generated versions of Elon Musk to promote fraudulent investment opportunities, and the Linus Tech Tips channels were compromised in 2023 to broadcast fake Musk content . The timing is particularly ironic given that Nvidia's hardware has been instrumental in powering both the cryptocurrency mining boom and the current generative AI revolution that enables such sophisticated deepfakes

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