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Flash

Analysis: The market digests SpaceX's selling pressure, the release of stocks worth hundreds of billions of dollars has landed, but the stock price has not seen a significant drop

According to Bloomberg, SpaceX's stock performed relatively steadily on Thursday, following the expiration of a lock-up agreement that restricted insiders from selling shares, involving the release of approximately 911.5 million shares, valued at about $100 billion based on current estimates.Trading data shows that SpaceX's stock price fluctuated within a range of less than 3% in the early morning, as the market digested the potential selling pressure from this large-scale share release. In the first 30 minutes after the market opened, the trading volume approached 93 million shares, accounting for about 40% of the total trading volume from the previous trading day.This release occurred shortly after SpaceX's first financial report was published. Previously, due to concerns from investors about the company's investment in artificial intelligence being higher than expected, SpaceX's stock price had dropped by about 14%. However, most Wall Street analysts still maintain a long-term optimistic view of the company.The market's focus includes SpaceX's future investment plans in AI, satellite internet, and mobile communications. Although facing short-term capital expenditure pressures, analysts believe that the company's leading position in rocket launches, the Starlink satellite network, and the commercial space sector remains an important factor supporting its long-term valuation.This stock release, valued at approximately $100 billion, has also become an important event for the market to test investor confidence after SpaceX's listing. The stock price did not experience significant fluctuations, indicating that the market had certain expectations regarding the liquidity release for internal shareholders.

Analysis: The average time from Tether's freeze proposal to execution exceeds 2 hours, allowing high-risk addresses to transfer funds by taking advantage of the time difference

FlashRescue co-founder @DarcyAri posted on the X platform that recently, during a joint investigation with partners on a case, Tether experienced a transfer of funds from one address during the execution of a proposal to freeze addresses, resulting in a decrease in the frozen amount. Further review by FlashRescue revealed that this is not an isolated incident. As of August 3, 2026, through an analysis of 2,955 Tether freeze events on the Ethereum and Tron networks, it was found that among addresses involved in risks such as entity sanctions, fraudulent activities, money laundering, FATF blacklist jurisdictions, and malicious attacks: 60 addresses cleared their assets and completed front-running transfers before the formal execution of the freeze, with a total net outflow of 20,429,847 USDT, starting transfers an average of 13 minutes and 59 seconds after the freeze proposal was submitted, and completing the main fund transfers within 15 minutes and 15 seconds; additionally, 113 addresses transferred some assets before the freeze was executed, involving approximately 35,524,300 USDT.The average time from the submission of the freeze proposal to the formal execution of the freeze by Tether is 2 hours, 16 minutes, and 15 seconds, indicating a long time window between the public announcement of the freeze proposal and its actual execution. On July 3, a cluster of addresses transferred funds continuously within minutes and then split the transfers to the same address. The above cases suggest that some high-risk addresses may be actively monitoring Tether freeze proposals and utilizing the time difference between the public announcement of the proposal and the actual effectiveness of the freeze to implement front-running transfers. This mechanism leads to the failure of freezing the involved funds and undermines the actual effectiveness of sanctions, anti-money laundering, and law enforcement cooperation measures.

Strategy to join the "Invest in America Business Commitment" program will contribute $250 annually to employees' children's Trump accounts

According to a report by businesswire, Strategy announced its participation in the "Invest in America Commitment" program, which will contribute $250 annually to the Trump account (i.e., 530A account) for each eligible American employee's minor child, regardless of the child's birth year.For children born on or after January 1, 2025, there will also be an additional one-time matching contribution of $1,000 in seed funding provided by the U.S. government.Phong Le, President and CEO of Strategy, stated, "The Trump account and the Invest in America initiative can build a stronger financial future for American children. The company will match the government's initial $1,000 contribution and provide additional annual contributions for eligible employees' children.These accounts can encourage financial education, long-term thinking, and the cultivation of a savings and investment culture from a young age—these goals are highly consistent with Strategy's values and optimistic vision for the future."The Trump account is a tax-deferred investment account for minors under the age of 18, with investment targets being low-fee U.S. index funds. Children born between 2025 and 2028 can receive a one-time $1,000 seed funding from the U.S. Treasury upon registration. Strategy's program will launch after the Treasury issues final guidance and the employer contribution infrastructure is online. The company has announced the plan to employees during internal quarterly meetings and will share registration details with eligible employees before the launch.

Marvell launches AI "memory decoupling" architecture to address the bandwidth bottleneck of Agentic AI inference

According to official news, Marvell Technology announced the launch of a new generation of memory solution portfolio for AI infrastructure, covering server-level AI storage, rack-level CXL memory expansion and pooling, as well as multi-rack optical interconnect shared memory, aimed at addressing the growing memory capacity and bandwidth bottlenecks in Agentic AI inference processes.Marvell stated that as AI model sizes increase, context windows extend, and KV Cache demand grows, traditional tightly coupled architectures of computing and memory are limiting AI inference efficiency. Through memory disaggregation, memory resources can be made more independent of computing resource expansion, improving GPU utilization and reducing data movement latency. The products released include:Bravera SC6 PCIe 6.0 SSD controller: Designed for AI inference storage scenarios, it helps cloud service providers migrate more KV Cache to high-performance SSDs, enhancing infrastructure efficiency. This product features an architecture compatible with multi-vendor NAND and is expected to begin sampling in the fourth quarter of 2026.Marvell Structera X memory expansion solution: Based on CXL technology, it supports rack-level memory expansion and resource pooling, helping data centers share and allocate memory resources more flexibly, reducing AI infrastructure costs.Marvell Photonic Fabric optical interconnect memory solution: Constructs a shared memory architecture across multiple racks using optical interconnect technology, supporting up to 32TB warm KV Cache offloading and helping AI inference clusters enhance throughput capacity.Marvell stated that the Photonic Fabric solution can achieve a 2 to 3 times increase in Token throughput under existing data center space and power consumption constraints, supporting larger scale models and longer context AI applications.Marvell executive Will Chu stated that AI infrastructure is transitioning from a single server architecture to a system where computing, memory, and connectivity operate in synergy, and in the future, memory needs to expand more independently to enhance resource utilization and Token efficiency.As the demand for AI Agents and large model inference continues to grow, memory capacity, bandwidth, and data transfer efficiency are becoming new focal points of competition in AI infrastructure, following computing power.
2026-08-04
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