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first_img Petrobras tests Cardano, tracking sustainable aviation fuel and diesel

According to CoinDesk, Brazil's state-controlled energy company Petrobras is testing the Cardano blockchain to track statements related to low-carbon fuels.The Cardano Foundation announced two research projects on Wednesday, one focusing on sustainable aviation fuel, which is a low-carbon aviation fuel alternative that can be used in existing aircraft and airports, and the other on Diesel R, which is diesel produced by Petrobras using renewable materials such as vegetable oils and animal fats.The aviation fuel project targets the book-and-claim model in green fuel sales: airlines can pay for the environmental benefits of sustainable fuel, even if the fuel itself is used elsewhere. This model requires recording the benefit attribution and claiming time to avoid double counting the same emissions reduction.The application records the source, recipient, and claiming time of each benefit through Cardano. In real scenarios, passengers can input their departure and destination airports to calculate the corresponding fuel benefits and receive a certificate linking their quota to the original fuel certificate. The diesel project records information on fuel production, transportation, and usage, compiling it into a complete fuel process history, which helps companies report Scope 3 emissions.Frederik Gregaard, CEO of the Cardano Foundation, stated that Brazil has been one of the most stable adopters of Cardano, from government agencies like SERPRO to industrial sectors like SENAI, and Petrobras continues to value the on-chain traceability and transparency.He mentioned that with x402 landing on Cardano and Fireblocks increasing support for Cardano native tokens, institutional interest continues to grow.

WasabiCard launched various AI subscription cards, covering payment scenarios for mainstream AI tools such as OpenAI and Claude

According to official news, WasabiCard has launched various AI subscription cards, catering to the global AI tool subscription and payment needs of enterprises and teams, supporting subscription payment scenarios for mainstream AI applications such as OpenAI and Claude. Through card-based payment solutions, companies can handle the procurement and expense management of AI services for different teams, projects, or business lines more flexibly.In addition to AI subscription payments, WasabiCard also supports bulk card issuance for enterprises, fund budget management, and multi-currency account setup, as well as various scenarios such as advertising, business travel, payroll, and e-commerce subscriptions. It helps companies configure payment permissions and budget limits by department, employee, or specific purpose, enhancing the management efficiency of AI-related expenditures and the transparency of fund usage.As AI tools gradually enter daily workflows in research and development, content production, customer service, and operations, cross-border subscription payments and expense management are becoming important infrastructure for global operations of enterprises. It is important to note that currently, WasabiCard-related products are not open for application to enterprises and individual users in mainland China.

The Inner Mongolia police in China are investigating a virtual currency money laundering case that used "free credit card repayment" as bait, involving nearly a thousand accounts

Recently, the police in Baotou, Inner Mongolia, China, investigated a virtual currency money laundering case. The criminal gang used "free credit card repayment" as bait to attract ordinary users to provide accounts. They received illicit funds from overseas gambling and fraud through false consumption, then contacted currency dealers to exchange for virtual currency and transferred it to designated addresses abroad. Through financial and on-chain data analysis, the police identified nearly a thousand involved accounts, with suspects distributed across Inner Mongolia, Shandong, Jiangsu, Hebei, Chongqing, and other regions.The Digital Currency Research Institute of the People's Bank of China stated that it is currently using large model technology to analyze the flow of funds in virtual currency transactions, restore the gang's trading patterns, and uncover clues related to illegal industries. Upon investigation, it was confirmed that seven members of the gang were illegally engaged in payment settlement business without approval from relevant national authorities, constituting the crime of illegal operation, and were sentenced to imprisonment ranging from one year and two months to two years and six months, along with fines.Using virtual currency for money laundering is a new type of money laundering crime that has emerged in recent years. Lv Wei, the president of the Inner Mongolia branch of the People's Bank of China, stated that enhancing the monitoring and identification capabilities for abnormal fund transactions related to virtual currency trading has helped successfully crack down on a major money laundering case involving virtual currency pyramid schemes, dismantling more than ten money laundering and points-running dens, and confiscating illegal gains of approximately 130 million yuan. In recent years, there have been coordinated efforts to promote the conviction and sentencing of four cases involving money laundering using virtual currency, forming a strong deterrent against illegal activities such as money laundering with virtual currency.

first_img XRP Ledger carries the Brazilian CSD BR fund records, involving approximately 4 trillion USD in assets

The regulated operator responsible for the registration, securities custody, and settlement system of the Brazilian financial market, CSD BR, has begun to record the ownership of shares in certain investment funds under BTG Pactual, mirroring them to the public XRP Ledger. CSD BR manages registered assets exceeding 22 trillion Brazilian Reais, approximately 4 trillion US dollars. Its existing database still serves as the official record for registration, custody, and settlement, and the relevant assets have not been transferred to the XRP Ledger; fund shares will be presented in token form on the XRPL.This blockchain copy aims to allow approved banks and institutions to verify ownership changes in real-time, replacing post-reconciliation, reducing the slow and costly verification process, while retaining identity checks and regulatory controls. Anyone can read the token circulation on the XRPL, but CSD BR still controls who has the right to hold and transfer these tokens. The tokens adopt the multi-purpose token standard of the XRP Ledger, allowing issuers to restrict participants and freeze assets or revoke transactions upon regulatory or court requests, while participants still need to pass identity and anti-money laundering checks.The project starts with real fund records, distinguishing it from previous pilots that used test assets or closed networks. CSD BR was established in 2018 and is authorized by the Central Bank of Brazil and the securities regulatory authority. After becoming familiar with the mirroring system, CSD BR and Ripple plan to test the direct issuance of assets on the XRP Ledger and allow approved participants to trade, with potential targets including Brazilian real estate receivables and agricultural receivables.

first_img Grayscale Research Director: Computing power is becoming a new scarce digital asset

On September 24, Zach Pandl, the research director of the cryptocurrency asset management company Grayscale, published an article in the column The Stack stating that in the wave of artificial intelligence, the demand and supply paths for the computing power required to train, run, and operate models are diverging. Grayscale believes that this imbalance favors owners of already powered and operational computing capacity and brings growth-oriented investment opportunities.Zach Pandl stated that digital demand can expand instantly, but physical infrastructure such as electricity, data centers, chips, memory, and cloud services takes years to approve, access, and build. When artificial intelligence agents perform multi-step tasks, they may consume 5 to 50 times more compute tokens than typical chatbot interactions, and increased application layer activity will transmit to the underlying computing infrastructure.The article cites data from the International Energy Agency and Lawrence Berkeley National Laboratory, stating that data centers are expected to account for about half of the growth in electricity demand in the United States by 2030, and new projects may take more than five years to connect to the grid. Even if electricity is secured, permits, specialized labor, electrical equipment, cooling systems, GPUs, high-bandwidth memory, and networks are still needed. Continuous value will flow to power producers, data center operators, and artificial intelligence cloud service providers that can convert electricity into computation.
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