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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.

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 Crypto.com subsidiary AI agency ai.com has been secretly developing, and it has not launched nearly 8 months after its Super Bowl debut

The personal AI agent business ai.com under Crypto.com has not yet been opened to the public since its debut during the Super Bowl in February this year. According to Cointelegraph, ai.com spent $15 million on advertising during the fourth quarter of the Super Bowl to promote the launch of its AI platform, leading to a surge of users rushing to reserve personal AI agent accounts, which caused the website to crash within minutes. Nearly 8 months later, the site still displays a message indicating that due to high demand, AI agent generation is in queue. A spokesperson for Crypto.com confirmed that the platform is still under development, stating that ai.com continues to advance in stealth mode and will provide more details when it is officially released to the public.The AI agents of ai.com are positioned beyond financial scenarios. In a statement released in February, it was announced that personal agents could arrange work, send messages, operate across applications, and build projects, and it also claimed that agents could independently develop missing capabilities and share improvements within the network. Meanwhile, competitors have launched AI assistants for more specific tasks: Robinhood announced on Tuesday that it could execute automated trading within the app using AI agents, Kraken launched AI financial tools in July, and Bitget introduced the AI trading assistant GetAgent in June. Anthropic introduced computer use in Claude Cowork in March, and OpenAI launched ChatGPT Work in July.During this period, Crypto.com continues to invest in AI business.

first_img Samsung Electronics executive: It is expected that HBM will account for nearly 30% of DRAM wafer production capacity next year

According to a report by the Financial Associated Press citing local media on September 29, Samsung Electronics Executive Vice President Kim Taewoo stated that HBM is expected to account for nearly 30% of the total wafer capacity of DRAM manufacturers next year, up from the current ratio of about 20%. He mentioned that HBM competes with traditional DRAM for the same batch of wafer capacity, and increasing HBM output may squeeze the supply of traditional DRAM.TrendForce previously predicted that by the end of 2027, the HBM wafer input from the three major global HBM suppliers will account for about 30% of the total DRAM wafer input, but in terms of storage capacity, it will only contribute about 13% of the total DRAM supply. Additionally, according to media reports on September 20, Samsung began mass production and shipment of HBM4 in February this year and provided 12-layer HBM4E samples to customers including NVIDIA in May; the industry expects Samsung's monthly wafer input for HBM to increase from about 180,000 wafers this year to about 250,000 wafers next year.On the same day, TrendForce stated that the demand for AI servers continues, and HBM and general DRAM will still share limited advanced process capacity. The storage supply will remain tight in 2027, and the price expectations for HBM in 2027 have been raised, with an expected year-on-year increase of 121% in the mixed average selling price. Due to limited supply and rising system costs, 8-layer HBM is expected to become a priority evaluation option for several manufacturers in 2027, with its price per Gb expected to be about 10% to 20% higher than that of 12-layer products.

The founder of Personal AI Agent Instinct stated that the number of users increases by about 10% daily, and the computing power nearly doubles every week

Noah Shinn, founder of Personal AI Agent Instinct, stated that the company's user base has been growing by about 10% to 11% daily in recent weeks, leading to a corresponding demand for computing power that is close to doubling each week. He now spends about 40% of his time considering how much computing power to purchase in advance.Shinn indicated that computing power cannot be procured in sync with user growth. Purchasing only double the current computing power would be exhausted in about a week; buying five times would run out in less than three weeks; directly purchasing ten times would mean a significant upfront investment. Many resources need to be booked months in advance, and the price for temporarily supplementing computing power could be three to four times higher. He mentioned that purchasing too little makes it difficult to support growth, while purchasing too much would amplify costs when growth slows down.He estimates that even if the daily growth rate drops from 10% to 5% to 8%, after continuous growth for 3 to 4 months, it may still be necessary to prepare computing power for a scale of 100 million users, and the waiting time for new computing power to come online would be roughly the same. He believes that this is more challenging than scaling consumer internet products like Instagram and Facebook, because each new user of the personal agent continuously consumes a large amount of model inference. He stated that Instinct's current scaling speed is even faster than similar situations encountered by Claude Code and Codex in the past.
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