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The Thai SEC has filed a criminal lawsuit against Bitkub, accusing it of concealing a hacker attack of approximately 50 million dollars in 2021

According to Cointelegraph, the Securities and Exchange Commission (SEC) of Thailand has filed a criminal complaint against the digital asset exchange Bitkub Online and two former directors, Sakolkorn Sakavee and Thaweesap Rawan, accusing them of involvement in false reports related to a cyber attack in 2021.The SEC stated that a cyber attack in May 2021 resulted in the theft of 16 digital assets from Bitkub, valued at approximately 1.7 billion Thai Baht, or about 50 million USD. The regulatory agency claimed that Bitkub subsequently replenished the stolen assets before October 31, 2021, but the daily net capital flow reports submitted from May 10 to October 30, 2021, did not accurately reflect the reduction in assets.Bitkub stated on the X platform that the case stems from disclosure decisions made after the cyber attack in May 2021 and is not an act of fraud. The exchange claimed that the delay in disclosing the compromised wallet was to avoid a bank run, and the co-founder subsequently purchased an equivalent amount of digital assets to cover the stolen funds, with no financial losses incurred by the company or its clients. Bitkub was established in 2018 and is one of Thailand's major cryptocurrency exchanges. Bitkub's parent company is considering a potential initial public offering, including the possibility of listing in Hong Kong.

Morgan Stanley missed the lead underwriting qualification for SK Hynix's $26.5 billion IPO, having previously released multiple bearish reports on the South Korean semiconductor industry

According to South Korean media outlet Chosun Ilbo, Morgan Stanley was not selected as the sole lead underwriter for SK Hynix's American Depositary Receipts (ADR) listing. The transaction size is approximately $26.5 billion (about 40 trillion Korean won), making it the largest IPO for foreign capital in the U.S. The commission, calculated at a 0.5% underwriting fee rate, is about $130 million. The final underwriting syndicate consists of Bank of America, Citigroup, Goldman Sachs, and JPMorgan Chase. Industry insiders generally believe that Morgan Stanley's exclusion is related to its repeated issuance of bearish reports on South Korean semiconductors.The report's author is Korean-American Managing Director Shawn Kim, who has repeatedly downgraded the stock ratings of memory stocks such as Samsung Electronics, SK Hynix, and Micron in research reports published in 2017, 2021, 2024, and on June 6 of this year, with the 2021 report titled "Memory, Winter is Coming." Additionally, Morgan Stanley has recently faced setbacks in South Korea: as a co-underwriter for the SpaceX IPO, Korea's Mirae Asset applied for $1.14 billion in subscriptions but received zero allocation; the sale of IGIS Asset Management, promoted in conjunction with Goldman Sachs, also ended in failure. Morgan Stanley's largest shareholder is Japan's Mitsubishi UFJ Financial Group (MUFG), which holds approximately 24% of the shares.

The US stock earnings season focuses on AI realization, and Gate continues to strengthen its global asset allocation service capabilities

As the second quarter earnings season for US stocks enters a phase of intensive disclosure, the performance of the AI industry chain has become the focus of market attention. Investors are particularly focused on the capital investments of tech giants in AI, the growth of cloud computing, and commercialization progress. The market's focus is gradually shifting from expectations of AI development to the ability to realize profits. Meanwhile, geopolitical risks continue to disrupt global markets, with safe-haven assets such as energy and gold drawing attention, and the demand for cross-asset allocation and risk management among investors further increasing.In response to changes in the global market structure, Gate has continuously strengthened its institutional-level infrastructure and comprehensive service capabilities. Relying on a multi-asset trading system covering stocks, indices, foreign exchange, commodities, and digital assets, it provides professional users with market insights, trade execution, and asset management support. In the second quarter of 2026, the scale of Gate's institutional OTC Loan lending increased by 43.61% year-on-year, and the scale of leveraged lending rose by 14.33% quarter-on-quarter; at the same time, the SBE market service was launched, supporting public and private data channels, and a new contract Book Ticker real-time market push capability was added, further enhancing trading efficiency and quantitative strategy execution capabilities.In the future, Gate will continue to deepen its global institutional ecosystem layout, improve its trading, liquidity, and asset management service system, and assist professional users in more efficiently responding to market changes and seizing cross-asset trading opportunities.

DGrid officially launches a decentralized AI model marketplace, where model providers can freely list their models and earn on-chain revenue

The decentralized AI intelligent network DGrid announced that its decentralized AI model marketplace (DGrid Model Marketplace) is officially online.The marketplace is open to three types of model providers: model developers, model fine-tuners, and model deployers with computing infrastructure capabilities. They can freely list models on the platform, set their own prices, and earn real-time settlement revenue when models are called. For developers, the marketplace provides a unified entry point to discover, compare, and directly call various models through a unified API, without the need to switch between different platforms or connect to multiple interfaces.DGrid stated that the model marketplace is the "supply side" of its network, working in coordination with the AI Gateway (access side) responsible for calls, connecting AI creators and users. Currently, DGrid has aggregated over 200 mainstream models, including Claude, GPT, Gemini, MiniMax, GLM, Kimi, and has more than 15,000 paid users.In terms of quality assurance, the marketplace is supported by DGrid's self-developed Proof of Quality (PoQ) mechanism. PoQ conducts independent, random sampling of model providers through the platform's own benchmark test set and records the verification results on-chain to ensure service quality and pricing transparency—this mechanism does not touch user call data. The core members of the DGrid team have doctoral backgrounds from institutions such as Stony Brook University and have published 4 academic papers related to PoQ.Currently, the DGrid Model Marketplace is officially online. Model providers can apply to join, and developers can also experience one-stop AI model discovery and access services through the platform.
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