Indian Man Loses 56L in Telegram-Based Crypto Scam

TheCryptoTimesPublicado em 2025-10-10Última atualização em 2025-10-10

A 51-year-old man from Gandhidham, Gujarat, originally hailing from Pune, has lost ₹56.47 lakh in a complex cryptocurrency trading scam. The victim, Kishor Nargundkar, was invited to a scam group on Telegram set up by the scammers, where he lost the money after completing certain tasks. 

According to a report by the Times of India, an individual named Deepa introduced the victim to the scam through Telegram and invited him to join a group called ‘Conforge Finance.’ At first, Nargundkar was told to invest small amounts of money with the promise of big returns. He was tricked into making 38 transactions between June 25 and September 8, which added up to ₹56.47 lakh, as he got more involved. 

The scammers made up fake fees and penalties, such as a ₹10.65 lakh fine for not following trading rules and a ₹4 lakh tax for taking out profits. Even though his account showed a profit of ₹61 lakh, Nargundkar couldn’t get his money. The scammers asked for another ₹13 lakh to release the money, which made him realize he had been scammed and then he reported it to the Kutch East Cyber Crime police station.

Authorities are accusing individuals Deepa, Anubhav Goyal, and Ashutosh Kumar, as well as platforms Conforge Finance and Coinbase, of their involvement in the scam. The Bharatiya Nyaya Sanhita (Indian Penal Code) has sections that the authorities are using to look into the matter.

Rising crypto crimes across the globe 

This event is just one more in a long line of cryptocurrency scams in India and around the world. Scammers take advantage of the promise of quick profits on unregulated online platforms and messaging apps.

Recently, the Enforcement Directorate (ED) raided 15 places in Delhi, Noida, Gurugram, and Mumbai as part of a crackdown on a tech support scam. The criminals told their victims that their computers or bank accounts were at risk, and then they would demand money to resolve the problem.

Also Read: Medical Representative in India Duped of ₹31.5 Lakh USDT Scam


Mobile Only Image

Leituras Relacionadas

Robotic GPT-3 Moment Shakes Silicon Valley: Zero Lines of Code, Learns Instantly, with Investments from Jensen Huang and Fei-Fei Li

Generalist AI's newly released robot foundation model GEN-1.5 is being hailed as the "GPT-3 moment" for embodied AI. The model demonstrates remarkable one-shot and few-shot learning capabilities in physical manipulation tasks. By watching a single 3-12 second demonstration video (physical prompting) without any training or code, the robot can attempt the task with a 59% average success rate across 10 tasks. With just 5 minutes of demonstration data and minimal fine-tuning (10 gradient steps), the success rate jumps to 83%. The most significant breakthrough is the emergence of spontaneous, improvisational problem-solving abilities not present in the training data. For instance, after learning to sweep blocks with a brush, the robot can adapt to use a banana similarly or switch to a completely new "scoop-and-pour" strategy when given a dustpan. Other emergent behaviors include removing obstacles, correcting errors, and spontaneously sorting objects. These capabilities stem from over 8 months of large-scale pre-training on physical interaction data, suggesting the existence of a Scaling Law for embodied intelligence—where model generalization improves with more data and training time. This approach drastically reduces the cost and expertise needed to teach robots new skills, potentially democratizing robot programming. The release coincides with a surge in the humanoid robotics sector, marked by events like the World Robot Conference and significant investments. While the demonstrated tasks are still relatively simple, the scaling trend and emergent behaviors point toward a future where general-purpose robot "brains" could be easily adapted to various hardware "bodies," reshaping the industry's competitive landscape.

marsbitHá 1h

Robotic GPT-3 Moment Shakes Silicon Valley: Zero Lines of Code, Learns Instantly, with Investments from Jensen Huang and Fei-Fei Li

marsbitHá 1h

Trading

Spot
活动图片