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first_img Cboe is exploring the launch of VIX perpetual futures, still in the early stages

According to CoinDesk, Cboe is exploring the launch of perpetual futures linked to the VIX index, which is still in the early stages, with no contract specifications yet and no filing documents submitted. This news comes from Bloomberg.The VIX index measures the expected volatility over the next 30 days as reflected by the pricing of S&P 500 options. As investors buy options to hedge against sharp market declines, the demand for options during downturns surges, thereby raising the index, which is why it is regarded as Wall Street's "fear gauge." Perpetual futures were first proposed by economist Robert Shiller in 1993 and were subsequently commercialized by the cryptocurrency industry.A mature derivatives ecosystem has already formed around the VIX, covering futures, options, and exchange-traded products tracking the index. However, futures come with expiration dates, and when contracts terminate, traders must roll over their positions or shift their bets to the next available contract. This rolling operation is costly and erodes returns, which was a major criticism faced by Bitcoin futures ETFs when they debuted at the end of 2021.In contrast, perpetual swaps never settle and instead anchor contract prices to the spot index through a funding rate mechanism, theoretically providing investors with the closest investment channel to the actual VIX spot price. Martin Lee, Head of Market Insights at DWF Labs, told CoinDesk that traders do not need to worry about expiration and value decay, as they can focus solely on assessing the direction of the underlying asset. He expects a strong trend of "perpetualization" to emerge in the coming months.

first_img KakaoPay Securities partners with Dinari and Ondo to explore stock tokenization in South Korea

Korean KakaoPay's securities and tokenization platform Dinari and Ondo Finance have reached separate collaborations to explore the on-chain integration of Korean listed stocks and distribution to overseas market investors. KakaoPay announced these two independent agreements on Tuesday, covering the acquisition of target Korean stocks, tokenization infrastructure, and potential distribution arrangements outside of Korea.The collaboration with Dinari will rely on its dShares model for a proof of concept, which aims to retain shareholder rights, including dividends and voting. Dinari currently offers 724 tokenized U.S. stocks and ETFs through dShares, and this collaboration explores extending that model to stocks of Korean listed companies. Dinari CEO Gabe Otte stated that the proof of concept has not yet selected specific Korean listed companies and has not set a commercialization timeline; the proposed model will use locally listed stocks in Korea as the underlying assets, rather than tokens that only track their prices.The initial focus of the agreement with Ondo is to establish a framework for the acquisition and custody of Korean listed stocks, preparing for subsequent tokenization. KakaoPay will operate a comprehensive account for foreign investors to hold and manage the underlying stocks, and both parties will also study the issuance and redemption mechanisms for tokens. This collaboration comes as Korea advances its token securities regulatory framework: the Korean National Assembly passed an amendment in January this year, recognizing distributed ledgers as legitimate securities registries; the Financial Services Commission included it in capital market reforms in June; and the framework is set to take effect in February 2027.

Circle Foundation: Exploring stablecoin payments for humanitarian assistance, providing funding to the United Nations Development Programme and the World Food Programme

The Circle Foundation announced two grants to the United Nations Development Programme (UNDP) and the World Food Programme (WFP) to explore the application of digital payments and digital financial infrastructure in humanitarian aid and development projects.The Circle Foundation stated that the relevant programs will study how to utilize digital payments and regulated payment-type stablecoins to disburse funds to aid recipients more quickly, transparently, and at a lower cost.For the UNDP, the grant will be used to establish and operate a "Digital Asset Innovation Pool," helping country offices expand previous digital payment pilot projects conducted in Syria, Haiti, Guatemala, and Gambia from single projects to regular project execution, and provide support such as regulation, operations, and beneficiary protection; this mechanism will not replace traditional banking channels but will serve as a complementary option outside the existing payment system.For the WFP, the grant will support the establishment of governance, risk management, funding, reconciliation systems, and compliance tools necessary for stablecoin payments, and integrate local fintech and mobile payment services. Over the next three years, the WFP plans to test 2 to 3 payment channels connecting its payment system with local financial service providers and markets to assess the performance of stablecoin payments in terms of efficiency, transparency, and resilience.

Tether released a dataset of 191.4 billion Token STEM, betting on the "explanatory ability" of local small models

The stablecoin giant Tether's Tether AI Research today released QVAC Genesis III, a synthetic training dataset aimed at the fields of science, technology, engineering, and mathematics, with a scale of 19.143 billion tokens, covering 159.6 million documents.It is reported that Tether hopes to enhance the reasoning and teaching capabilities of small AI models, allowing more AI assistants to run directly on laptops, mobile phones, and local servers, reducing the ongoing reliance on large cloud models.Genesis III continues the data lineage of Genesis I and Genesis II, covering 19 curriculum-related fields including biology, chemistry, physics, mathematics, computer science, medicine, electrical engineering, and machine learning, aimed at high school, university, and professional applications. Tether states that the dataset will focus on training models to explain problem-solving paths, identify erroneous reasoning, and provide corrections, rather than just outputting final answers.According to Tether's disclosed test results, a 1.7 billion parameter model trained with Genesis III option-level data achieved an effective answer rate of 99.45% in relevant benchmark tests. Compared to the Cosmopedia-v2 training model of similar token scale, Genesis III improved scores on the ARC-Easy, ARC-Challenge, and MMLU STEM benchmarks by 28.57, 21.35, and 15.03 percentage points, respectively.
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