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According to CoinDesk, data from Curve Finance shows that its lending market has recorded a total of 704 "soft liquidation" events, involving 602 borrower addresses, with a median duration of 14.5 days, of which a quarter lasted at least 38.9 days, and some positions remained within the liquidation range for several months. Of these soft liquidations, 476 began in the first half of 2026. Unlike traditional lending protocols such as Aave and Compound, Curve's LLAMMA system does not sell off collateral all at once after the price drops below a threshold, but gradually converts collateral into borrowed assets within a price range. If the price rebounds before the loan completely fails, some or all of the conversions may be reversed. This means that borrowers are not in a grace period; their collateral has been partially liquidated during the loan's duration, but they still have the opportunity to restore their positions if the price reverses. However, soft liquidations are not without costs. Data shows that borrowers may still incur losses due to transaction fees, conversions, rebalancing, interest, and bid-ask price fluctuations, and if the market remains unfavorable, positions may still fall into hard liquidation. Curve Finance is a mainstream DeFi protocol focused on stablecoin exchanges and crvUSD lending, currently holding approximately $1.35 billion in deposits, with a DEX trading volume of about $3.4 billion over the past 30 days and active loans of about $46 million.

According to the official announcement, Bitget has launched the SOFTBANK perpetual contract. This contract is settled in USDT and supports up to 20 times leverage with 24/7 trading.As of now, Bitget supports a total of 305 stock perpetual contract underlying assets.

According to Securityweek, artificial intelligence security company HiddenLayer has completed a $100 million Series B funding round, led by Delta-v Capital, with participation from Booz Allen Ventures, Microsoft's M12, Morgan Stanley, and Ten Eleven Ventures. To date, the company has raised a total of over $155 million.HiddenLayer focuses on protecting the entire lifecycle security of generative AI, predictive AI, and AI Agents. Its enterprise platform includes features such as AI asset discovery, AI supply chain security, attack simulation, and runtime protection. The new funding will primarily be used to expand the runtime security capabilities of AI Agents, particularly targeting AI programming Agents.

Microsoft announced that it will begin disclosing quarterly sales figures for its Azure cloud business, changing the company's long-standing practice of only reporting Azure revenue growth without disclosing specific income. Microsoft stated that considering the scale and importance of Azure, now is the right time to increase transparency. This adjustment marks the first major reform of the primary financial reporting structure since 2015.Microsoft has merged its existing Intelligent Cloud business and Productivity and Business Processes business into a "Agent and Infrastructure" department; more personal computing business has been adjusted to the "Devices and Consumer" department. Microsoft stated that artificial intelligence is changing the way the company builds products and operates, blurring the lines between products and reshaping business models.The company previously disclosed that Azure's sales for the fiscal year ending in June exceeded $100 billion, up from $75 billion in the previous fiscal year, accounting for about 30% of Microsoft's total revenue. This new reporting structure will officially take effect when Microsoft releases its first-quarter financial report for fiscal year 2027.

According to Bloomberg, G42, an AI company supported by Microsoft, has had preliminary discussions with potential investors about raising billions of dollars, potentially becoming one of the first government-affiliated AI companies in the UAE to expand its capital scale through external financing.Insiders revealed that the scale of financing and transaction structure have not yet been finalized, and discussions are still in the exploratory stage. G42 has previously advanced data center projects in Abu Dhabi with Microsoft and OpenAI, and has received support from companies like Microsoft.

OpenAI stated that its upcoming Astra model can autonomously discover previously unknown software vulnerabilities and convert them into usable attack vectors without human intervention, making it the company's first model to reach the "Critical" cybersecurity capability level threshold. In a blog post released on Tuesday, OpenAI mentioned that according to its Preparedness Framework, reaching this level means the model can discover zero-day vulnerabilities and develop usable exploit code in hardened real systems without human involvement, or design and execute attacks based solely on a high-level objective.In testing, Astra achieved a 100% score in benchmark tests for developing exploit code based on known vulnerabilities and discovered two previously unknown vulnerabilities in another internal test. Additionally, the model successfully broke through a hardened browser sandbox and executed commands on the host machine, while gaining root access by exploiting multiple weaknesses in the operating system. OpenAI stated that it has delayed some of Astra's development progress to enhance security measures and plans to make its advanced cybersecurity capabilities available only to selected testers.This capability is particularly relevant to the cryptocurrency industry, as software vulnerabilities can be converted into financial losses within minutes. CoinDesk reported in June that increasingly powerful AI models can compress the process of searching code, discovering misconfigurations, and assembling attacks from days or weeks to machine speed. Security researchers noted at the time that the significant change was not the emergence of new categories of attacks, but rather the dramatically increased speed at which existing vulnerabilities are discovered and exploited.

The SEMICON Taiwan 2026 Memory Summit took place on the 1st, where Nikhil Cherian, Senior Director of Supply Chain Infrastructure at Google Cloud under Alphabet, pointed out that with the popularity of multimodal and mixed expert architectures, AI computation has shifted from being power-limited to memory-limited, with high-performance memory accounting for over 75% of the cost of AI server hardware bill of materials. In the face of capacity, bandwidth, and power consumption bottlenecks, Google is breaking through the AI memory bottleneck through a dual-track strategy of hardware offloading for inference and training, and lossless quantization software algorithms.Google adopts an offloading strategy in hardware architecture, launching TPU 8i for low-latency inference and TPU 8t specialized for large-scale training. The TPU 8i is equipped with 288 GB of high-bandwidth memory, with SRAM capacity on the chip increased threefold to 384 MiB, placing dynamic conversation states and key-value caches on the chip itself to achieve zero chip-off latency. The TPU 8t forms a super-large computing cluster with 9600 chips, achieving a shared pool of HBM at a scale of 2 PB, eliminating chip-off data transfer bottlenecks, along with TPU Direct Storage technology.Google has developed the training-free TurboQuant lossless quantization algorithm, compressing the key-value cache of large models from 32 bits to 3 bits, reducing memory usage by six times without loss of accuracy, resulting in an eightfold acceleration in attention computation, and integrating old-generation DRAM technology to extend the lifecycle of components.

SoftBank Group is seeking an additional $10 billion loan to refinance the related debt incurred from its investment in OpenAI and to raise further funds. According to informed sources, this loan has a term of two years and an interest rate approximately 275 basis points higher than the secured overnight financing rate (SOFR), with Mizuho Bank serving as the lead arranger and bookrunner.

According to CoinDesk, the developers of the Bitcoin Lightning Network payment software Core Lightning (CLN) issued an urgent warning to node operators after the team received a large number of AI-generated security reports, revealing several real vulnerabilities. The development team advised operators not to directly shut down the machine power but to restart the software in "--offline" mode, which stops communication with other Lightning Network nodes while still keeping it operational to continuously monitor the Bitcoin blockchain and protect the funds in the payment channels.The Core Lightning team began receiving a large number of AI-generated vulnerability reports since early August, some of which have been confirmed to be valid. Developers will keep the details confidential for two weeks to complete the patch development and plan to release a signed patch version for operators to verify the source. The source code and vulnerability details will be made public after the confidentiality period ends.This is the second AI-related security incident in the Lightning Network this month. Earlier in early August, BTCPay Server experienced a vulnerability that led to the leakage of credentials for some Lightning Network nodes and theft of funds. Additionally, the "Bitcoin Red Team," composed of 16 developers, used AI models to scan 390 Bitcoin code repositories at the end of July, discovering nearly 5,000 issues, 85 of which were rated as critical.

According to The Information, informed sources revealed that SoftBank is negotiating to acquire a majority stake in the startup 1X Technologies, which is a humanoid robot development company supported by OpenAI. This deal would value the company at approximately $6 billion. This investment will support SoftBank's ambitions in the robotics field while also providing 1X with more funding to bring its robots, designed with flexible bodies, into consumers' homes to help users with household chores. The startup, founded 12 years ago, attempted to raise $1 billion last fall at a valuation of $10 billion but reportedly ended up raising less than half of its target.SoftBank CEO Masayoshi Son has long been an investor and owner of robotics developers. He predicts that physical devices combining robotics technology and artificial intelligence will give rise to the next trillion-dollar company. Another sign is that OpenAI reportedly discussed the possibility of acquiring 1X last year, but negotiations ultimately broke down.

Market news indicates that SoftBank Group is in discussions with investment banks regarding a potential bond issuance of $10 billion to $20 billion to help refinance its investment in OpenAI.

Tom Lee posted on platform X that ETH's weekly increase reached 30%.He stated that, based on historical performance, such a significant single-week increase in ETH often indicates that there may be even larger upward movements in the coming weeks.

Blue Cloud Software Technology Solutions Company has signed a master service agreement worth $150 million with SpaceX Malaysia.

Japan's SoftBank Group plans to issue 1 trillion yen (approximately 6.29 billion USD) in seven-year corporate bonds aimed at individual investors. The bonds are tentatively set with a coupon rate range of 4.3% to 4.9%.This issuance will be the largest bond issuance in SoftBank's history, nearly double the previous record. SoftBank is expected to announce the final terms on September 4.

Market news reports that Meta Platforms is investing hundreds of millions of dollars into Microsoft's Azure AI services.

According to Nikkei News, SoftBank Group is preparing to issue corporate bonds aimed at individual investors, with an issuance scale expected to be 1 trillion yen, which will become the largest corporate bond issuance for individual investors in Japanese corporate history.This move aims to utilize sources of funds such as Japanese personal savings against the backdrop of intensified global competition in artificial intelligence investment and rising funding demands. The bond has a term of 7 years, and the interest rate and other issuance conditions are expected to be determined in early September.

According to Bloomberg, SoftBank Group invested $200 million in Swiss construction robotics startup Gravis Robotics, completing its Series A funding.Gravis originated from ETH Zurich and primarily develops autonomous hardware and software for earthmoving construction equipment, enabling heavy machinery to operate autonomously and allowing remote supervision of robotic fleets.

NVIDIA announced it will invest $1.5 billion in SB Energy, a subsidiary of SoftBank, and ensure that the Ports-Pike Technology Park in Ohio is dedicated to supporting its artificial intelligence computing business.According to the agreement, SB Energy will operate the data center under a 20-year lease agreement signed with OpenAI, which will become a customer of the project's 8 IT gigawatt capacity; NVIDIA will also provide credit support for the project's first 4.25 IT gigawatt phase and retain the option to add an additional 3.75 IT gigawatt capacity.The Ports-Pike project is expected to create tens of thousands of jobs and establish an $80 million community fund, with OpenAI also contributing an additional $40 million to the community welfare fund. Meanwhile, market news indicates that after reaching a deal with NVIDIA, Groq's valuation in the new round of financing has reached $3.5 billion.

Binance announces that it will distribute dividends of Applied Materials (AMAT) and Microsoft (MSFT) to users holding AMATB or MSFTB balances through bStocks. After deducting applicable withholding taxes, fees, costs, and other expenses, the net cash dividend will be reinvested into additional units or fractional shares of the same underlying securities.Users holding AMATB or MSFTB at the snapshot time of August 20, 2026, 08:00 (UTC+8) will receive dividends in the form of AMATB or MSFTB bStocks tokens.