Michael Saylor Warns Bitcoin Holders of Deep-Fake Scams

• Michael Saylor alerts BTC holders to AI-generated scams using his identity.
• Saylor’s caution emphasizes ongoing challenges with deep-fake videos targeting crypto figures.
• The crypto community advised to verify information amid rising AI scam threats.

Michael Saylor, MicroStrategy chairman and prominent Bitcoin advocate, issues a crucial warning to the crypto community. Saylor’s security team actively combats deep-fake videos generated by AI, targeting him in Bitcoin scams. He discloses the removal of around 80 fake AI-generated YouTube videos daily but emphasizes scammers persist.

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Saylor takes to social media, particularly X (formerly Twitter), to caution users against fraudulent podcasts urging Bitcoin transactions for promised returns. These scams often involve scanning barcodes to receive double the amount in return, a tactic used to deceive and steal from unsuspecting victims.

In his warning, Saylor emphasizes there’s no risk-free method to double Bitcoin, debunking claims of MicroStrategy giving away BTC for scanning barcodes. He urges BTC holders to verify information, highlighting the prevalence of scams using his identity.

Saylor’s experience echoes a broader issue within the crypto space, as high-profile figures become targets for AI-generated scams. Notably, Ripple CEO Brad Garlinghouse faced a similar situation in November 2023 when deep-fake videos promoted fake XRP giveaways.

As artificial intelligence continues to advance, its application for malicious purposes poses risks to the crypto community. Saylor’s warning underscores the importance of vigilance, encouraging users to verify the authenticity of information related to crypto. Best practices include avoiding transactions with unknown or untrusted addresses and platforms, especially those promising unrealistic returns.

The prevalence of deep-fake scams serves as a reminder for crypto enthusiasts to stay cautious and take proactive measures to safeguard their holdings in an era where AI technology can create convincing digital content for fraudulent purposes.

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