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first_img The U.S. FinCEN links $12.7 billion in suspicious activities to Southeast Asian cryptocurrency investment scams

The Financial Crimes Enforcement Network (FinCEN) of the U.S. Department of the Treasury released an analysis and alert on Thursday, linking approximately $12.7 billion in suspicious financial activities to cryptocurrency investment scams operated by Southeast Asian parks. About 1,300 institutions submitted 33,904 suspicious activity reports covering the period from September 2023 to December 2025. Cryptocurrency-focused money service businesses submitted 55% of the reports, involving $5.5 billion; banks submitted 41%, involving $6.4 billion; and securities firms accounted for the remaining $784.5 million.The number of reports has been growing at an average monthly rate of 10.9%, with the amount involved increasing by 18%. Scammers used at least 22 types of digital assets, with Ethereum, USDT, and USDC being the most common. On-chain analysis shows that regardless of the asset victims initially purchased, the funds are almost always converted into stablecoins, with nearly all converted to USDT, and then transferred through DeFi protocols or exchanges outside the U.S. Scammers also reused collection addresses across multiple victims, which is one way some institutions identified this pattern.The report indicates that about 25% involved elderly individuals, which is comparable to the 24.4% of the population that is over 60 years old, leading FinCEN to conclude that the elderly are not disproportionately targeted. The FBI estimates that in 2024, the U.S. population over 60 lost $4.8 billion to scams. These parks are primarily located in Cambodia, Laos, and Myanmar, and U.S. authorities have seized over $25 million related to the associated scams this year.

first_img The Ministry of Economic Affairs of Taiwan confirmed that Taiwanese companies will increase their investment in the United States by 20 billion USD

The Ministry of Economic Affairs of Taiwan has confirmed that Taiwanese companies will invest an additional 20 billion USD in the United States. Minister of Economic Affairs Wang Mei-hua stated that in response to order demands, in addition to the main production bases in Taiwan, capacity will also be increased in the United States, primarily focusing on semiconductor manufacturers, supply chains, and AI server manufacturers.U.S. Secretary of Commerce Gina Raimondo previously stated that Taiwan would announce investments of 20 to 30 billion USD in the U.S. next week. The Ministry of Economic Affairs responded that this investment is the 20 billion USD announced by Wang Mei-hua during the opening of the SEMICON TAIWAN 2026 U.S. Pavilion on the 2nd. Wang Mei-hua pointed out that global orders for AI and semiconductors are booming, and the global president of SEMI has raised the forecast for global semiconductor revenue in 2030 from 1 trillion USD to 2 trillion USD.The Ministry of Economic Affairs' review shows that as of May this year, 20 semiconductor and AI server-related companies have announced investments of 35 billion USD in the United States, with an additional 20 billion USD added in the following months. Future cooperation will also extend to industries such as biotechnology and natural gas.

first_img Jensen Huang stated at the G20 that computing power has become a national-level infrastructure, with an investment of about 50 to 60 billion dollars for 1 GW

On Wednesday, local time in the United States, NVIDIA CEO Jensen Huang appeared at the G20 Innovation Ministerial Meeting and engaged in a fireside chat with U.S. Secretary of Commerce Gina Raimondo. Huang stated that AI is evolving into a national economic infrastructure similar to electricity and the internet, and the biggest risk countries face is not sufficiently investing in and adopting AI, ultimately being left behind by the industrial revolution.Huang mentioned that currently, building 1 gigawatt of AI infrastructure requires an investment of about $50 billion to $60 billion, and he expects that from now until the end of this decade, the scale of related construction will reach approximately 100 gigawatts. He also referenced the "five-layer cake" model of energy, chips, infrastructure, models, and applications, indicating that every country needs to build AI infrastructure and decide which aspects they wish to participate in.Huang anticipates that in the coming years, AI will essentially achieve AGI, and the next phase will transition from large language models to intelligent agents and embodied intelligence. He believes that AI is more likely to replace tasks rather than completely replace jobs, with operational tasks such as writing and information processing potentially becoming gradually automated.

LeapNode receives investment from DraperDragon, laying out the Web3×AI infrastructure track

Recently, the AI computing power Token aggregation trading platform leapnode.net announced that it has received investment from the well-known cryptocurrency investment institution DraperDragon. This investment marks a strategic consensus between the two parties in the integration of AI and Web3, aiming to consolidate ecological resources, seize the wave of AI Agent development, and explore the new generation of AI-Web3 infrastructure market, fully reflecting the capital market's recognition of the opportunities and potential of this sector.LeapNode believes that the computing power Token aggregation trading platform for AI is equivalent to trading platforms for Web3. The platform first connects to over 200 cutting-edge AI models through a single API Key, with pricing at 10-30% of the official rates, service availability at 99.9%, and new models quickly launched within 48 hours. To lower the usage threshold, LeapNode has launched ready-to-use Web3 smart assistants and the Mystery Calculation Master, which have received numerous positive reviews, and introduced computing power boxes to allow users to participate in sharing platform profits. The project's vision is to connect models with user Agents and extend the A2A economy, providing support for autonomous payment settlement for AI agents and creating a core settlement layer for the AI Agent ecosystem.
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