Nathan Fuller: AI Crypto Scam Mein $12M Ka Funda! SEC Ne Kasa Shikanja

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AuthorRiya Kapoor|Published at:
Nathan Fuller: AI Crypto Scam Mein $12M Ka Funda! SEC Ne Kasa Shikanja
Overview

Bhai log, ek aur AI crypto scam pakda gaya hai! Nathan Fuller naam ke bande par SEC ne $12.3 million ka fraud karne ka ilzaam lagaya hai. Kehta tha ki uska AI trading bot triple digit returns dega, lekin sab jhooth tha! Paisa khud pe udaaya aur investors ko laga bada chuna.

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AI Ke Naam Par Dhoka

Asal mein, yeh banda AI trading bots ka jhootha waada karke logo se paisa loot raha tha. Bolta tha ki uska bot high-frequency arbitrage karta hai aur returns guarantee hai. SEC ka kehna hai ki yeh sab sirf marketing tha, koi asli AI bot tha hi nahi.

Paisa Gaya Kaha?

Total $12.3 million mein se sirf 3% paisa digital markets mein lagaya gaya, jisse koi khas return nahi mila. Baaki ka paisa, matlab lagbhag $6.2 million, toh yeh banda apni luxury cheezein, gambling aur travel pe uda gaya. Aur $5.5 million usne purane investors ko diye taaki naye log attract ho sakein, bilkul Ponzi scheme ki tarah.

Pehle Bhi Laga Chuna?

Yeh Nathan Fuller koi naya khiladi nahi hai. Iske upar pehle bhi bankruptcy mein Department of Justice ne case kiya tha. US agencies ab aise logo par sakhti kar rahi hain jo digital asset management ke naam par fraud karte hain. Privvy Investments aur Gateway Digital Investments jaise companies SEC ke regulation se bahar thi, isliye yeh AI ka tag use karke logo ko fasate rahe.

AI Scams Ka Khatra

Yeh case dikhata hai ki AI ka naam use karke kitna bada dhoka ho sakta hai. Ab toh fake audit reports aur account statements banana bhi easy ho gaya hai generative AI se. Investors ko zyada savdhan rehne ki zarurat hai jab koi platform AI ka use karne ka dawa kare.

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Disclaimer:This content is for educational and informational purposes only and does not constitute investment, financial, or trading advice, nor a recommendation to buy or sell any securities. Readers should consult a SEBI-registered advisor before making investment decisions, as markets involve risk and past performance does not guarantee future results. The publisher and authors accept no liability for any losses. Some content may be AI-generated and may contain errors; accuracy and completeness are not guaranteed. Views expressed do not reflect the publication’s editorial stance.