Technology

Fake Nvidia GTC stream hosting deepfake Jensen Huang crypto scam garners 100,000 YouTube viewers, AI-generated hoax generates 5x more views than real event

Source

Tom's Hardware

Published

Oct 28, 2025

TL;DR

AI Generated

A fake Nvidia GTC keynote stream featuring an AI-generated deepfake of Jensen Huang promoting a cryptocurrency scam garnered over 100,000 viewers on YouTube, surpassing the real event's viewership. The stream, hosted by a channel called Offxbeatz, was promoted by YouTube over the official stream, leading unsuspecting viewers to engage with the scam. Despite being disabled, the fake stream attracted significant attention, with the deepfake Jensen Huang promoting a fake crypto mass adoption event and urging viewers to participate in a fraudulent crypto distribution scheme. The incident highlights the growing sophistication of AI-generated content and the challenges of combating deepfake technology.

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Fake Nvidia GTC stream hosting deepfake Jensen Huang crypto scam garners 100,000 YouTube viewers, AI-generated hoax generates 5x more views than real event

TL;DR

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Lexar regional manager says that RAM prices are expected to double by the end of the year — 'discounts' and stabilized prices result from distributors getting rid of old stock or sourcing products from other regions

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Fake Nvidia GTC stream hosting deepfake Jensen Huang crypto scam garners 100,000 YouTube viewers, AI-generated hoax generates 5x more views than real event

TL;DR

Similar Articles

Lexar regional manager says that RAM prices are expected to double by the end of the year — 'discounts' and stabilized prices result from distributors getting rid of old stock or sourcing products from other regions

Taiwanese startup FormulaV Line wants to break into US market with two new unique cases — company expects products to become available on Newegg later this year

G.Skill explains how AMD EXPO ULL unlocks additional performance — expanded profiles allow memory makers to include subtiming tweaks for the first time

Huawei-led team claims it post-trained DeepSeek's 1.6-trillion-parameter model — 1,000 Ascend 910C chips used in training