CBI Arrests Darwin Labs Co-Founder in Multi-Crore GainBitcoin Scam

TheNewsCrypto2026-03-11 tarihinde yayınlandı2026-03-11 tarihinde güncellendi

Özet

India's Central Bureau of Investigation (CBI) has arrested Ayush Varshney, co-founder and CTO of Darwin Labs, in connection with the GainBitcoin cryptocurrency scam. The alleged fraud is estimated to be worth ₹20,000 crore and involves around 29,000 mined bitcoins. Varshney was intercepted at Mumbai airport while attempting to leave the country and arrested on March 10. Darwin Labs developed the technological infrastructure for the operation, including the MCAP token, smart contracts, and various platforms. The CBI is investigating the case under the Indian Penal Code and IT Act to trace misappropriated funds and identify other individuals involved.

India’s Central Bureau of Investigation (CBI) has arrested Ayush Varshney, co‐founder and Chief Technology Officer of Darwin Labs Private Limited, in connection with the alleged GainBitcoin cryptocurrency fraud, officials said on Wednesday. The alleged scam is now estimated to be worth at least ₹20,000 crore and is believed to involve around 29,000 mined bitcoins. Investors were reportedly enticed with promises of high returns from Bitcoin‐linked investments.

The CBI issued a Look Out Circular for Varshney after he went into hiding. On March 9, immigration officials at Mumbai’s airport stopped him when he was allegedly attempting to leave India, and he was formally arrested the next day.

Darwin Labs Built MCAP Token; CBI Probe Ongoing

According to the agency, Darwin Labs played a key role in creating the technological infrastructure for the GainBitcoin operation, including developing a cryptocurrency token called MCAP along with ERC-20 smart contracts and platforms used by the scheme. The operation, which was launched in 2015 under the façade of Variabletech Pte Ltd, also included a Bitcoin mining pool, payment gateway and investor portal, authorities said.

The CBI is investigating the case under multiple sections of the Indian Penal Code and the Information Technology Act. The probe aims to trace misappropriated funds and identify other individuals involved, with further developments expected as the investigation continues.

Highlighted Crypto News Today:

Binance Founder Changpeng Zhao Rejects Forbes’ $110B Net Worth Estimate

TagsBitcoinBitcoin scamBTCCrypto ScamIndiaScam

İlgili Sorular

QWho was arrested by the CBI in connection with the GainBitcoin scam?

AAyush Varshney, co-founder and Chief Technology Officer of Darwin Labs Private Limited.

QWhat is the estimated value of the GainBitcoin scam according to the article?

AThe scam is estimated to be worth at least ₹20,000 crore.

QWhat cryptocurrency token did Darwin Labs develop for the operation?

ADarwin Labs developed a cryptocurrency token called MCAP.

QWhere and when was Ayush Varshney apprehended?

AHe was stopped by immigration officials at Mumbai's airport on March 9 when he was allegedly attempting to leave India and was formally arrested the next day.

QUnder what legal frameworks is the CBI investigating this case?

AThe CBI is investigating the case under multiple sections of the Indian Penal Code and the Information Technology Act.

İlgili Okumalar

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

marsbit1 saat önce

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

marsbit1 saat önce

Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

DeepSeek-V4 has been released as a preview open-source model, featuring 1 million tokens of context length as a baseline capability—previously a premium feature locked behind enterprise paywalls by major overseas AI firms. The official announcement, however, openly acknowledges computational constraints, particularly limited service throughput for the high-end DeepSeek-V4-Pro version due to restricted high-end computing power. Rather than competing on pure scale, DeepSeek adopts a pragmatic approach that balances algorithmic innovation with hardware realities in China’s AI ecosystem. The V4-Pro model uses a highly sparse architecture with 1.6T total parameters but only activates 49B during inference. It performs strongly in agentic coding, knowledge-intensive tasks, and STEM reasoning, competing closely with top-tier closed models like Gemini Pro 3.1 and Claude Opus 4.6 in certain scenarios. A key strategic product is the Flash edition, with 284B total parameters but only 13B activated—making it cost-effective and accessible for mid- and low-tier hardware, including domestic AI chips from Huawei (Ascend), Cambricon, and Hygon. This design supports broader adoption across developers and SMEs while stimulating China's domestic semiconductor ecosystem. Despite facing talent outflow and intense competition in user traffic—with rivals like Doubao and Qianwen leading in monthly active users—DeepSeek has maintained technical momentum. The release also comes amid reports of a new funding round targeting a valuation exceeding $10 billion, potentially setting a new record in China’s LLM sector. Ultimately, DeepSeek-V4 represents a shift toward open yet realistic infrastructure development in the constrained compute landscape of Chinese AI, emphasizing engineering efficiency and domestic hardware compatibility over pure model scale.

marsbit1 saat önce

Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

marsbit1 saat önce

İşlemler

Spot
Futures
活动图片