Stik: Our MLCC release film has recently passed Murata's supplier qualification process, and we will continue to advance the sample delivery and verification work.
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*Jpmorgan Chase Recently Evaluated Pursuing Its Own Stablecoin, Sources SAY: BBG
AggrNews News, *Jpmorgan Chase Recently Evaluated Pursuing Its Own Stablecoin, Sources SAY: BBG
Robinhood's Meme token CASHCAT has surpassed a market capitalization of $45 million, surging over 370% in 24 hours.
According to BlockBeats, on July 8th, GMGN monitoring showed that the market capitalization of Robinhood's on-chain meme token CASHCAT surpassed $45 million, a 24-hour increase of over 370%. The early mascot of Robinhood's US stock app was CASHCAT, later renamed Robinhood. On July 1st of this year, Robinhood launched its own L2 public chain, Robinhood Chain, focusing on on-chain finance and RWA. BlockBeats reminds users that meme tokens often have little intrinsic value and their prices are highly volatile; trading should be approached with caution.
Meituan open-sourced its trillion-parameter large-scale model LongCat-2.0, and simultaneously released the inference code for domestically developed Chinese card processors.
According to Beating's monitoring, Meituan has officially open-sourced its trillion-parameter large-scale model, LongCat-2.0, with a total of 1.6T parameters and an average activation of approximately 48B, designed specifically for real-world agentic coding tasks. Architecturally, it innovatively introduces LongCat sparse attention and N-gram embedding. The former reduces fragmented memory access through flow-aware indexing and hierarchical indexing, accelerating training and inference with millions of contexts; the latter, while achieving nearly 97% sparsity in MoE, invests 135B parameters into the embedding layer, balancing parameter gains and structural stability. Post-training employs multi-teacher online distillation, categorizing experts into Agent, Inference, and Interaction types, seamlessly integrating them on a domestic computing power cluster through the MOPD architecture. As the industry's first trillion-parameter model to complete inference on a 50,000-card domestic computing power cluster, LongCat-2.0 validates the mature capability of domestic chips to handle complex large-scale model tasks. To address the multiple limitations of domestically produced Chinese chips in terms of memory, bandwidth, and interconnects, Meituan has made breakthroughs in three areas: model, chip adaptation, and deployment. At the model level, ScMoE leverages the core control capabilities of domestically produced chips to achieve physical core-level parallelism for Dense and MoE branches, combined with KV-cache partitioning to alleviate the pressure on ultra-long context memory. At the chip adaptation level, Super Kernel reduces operator startup overhead, and Weight Prefetch hides I/O latency, maximizing hardware utilization under constrained conditions. At the deployment level, PD separation is adopted to balance TTFT and TPOT, along with asynchronous Expert-Parallel load balancing to solve load unevenness under high EP (efficiency level). This open-source release simultaneously provides multiple precision versions, including BF16, FP8, and INT8, and fully opens up inference results optimized for domestic computing power, aiming to enable existing domestically produced cards and even older cards to smoothly deploy trillion-model inference services. --------------------------------- Click the original link below to join the Beating · Lark AI news channel and monitor global AI hot topics and news 24/7.
Will China Resources New Energy complete its merger and reorganization to jointly pursue a Shenzhen Stock Exchange listing? China Government-Enterprise Cooperation Fund responds.
Mars Finance reported on July 8th that China Government-Enterprise Cooperation Investment Fund Co., Ltd. (hereinafter referred to as "China Government-Enterprise Cooperation Fund") recently issued a statement saying that the company has noticed a false report circulating online titled "China Resources New Energy Holdings Co., Ltd. and China Government-Enterprise Cooperation Investment Fund Co., Ltd. Complete Merger and Acquisition to Jointly Pursue Listing on the Shenzhen Stock Exchange." The report is entirely false information and seriously contradicts the company's actual situation. According to China Government-Enterprise Cooperation Fund, since its establishment, all of its business activities have strictly complied with national laws, regulations, and regulatory requirements, and it has never conducted or authorized any entity to conduct any activities mentioned in the aforementioned false report. The company is not currently planning any mergers and acquisitions, restructuring, listing applications, or other capital operations, nor has it formulated any corresponding implementation plans. China Government-Enterprise Cooperation Fund also stated that it reserves the right to pursue legal action against any entity that forges or alters the company's seals, business licenses, or authorization documents, or impersonates the company or its employees to release false information, engage in fraud, or commit any other illegal acts that infringe upon the company's legitimate rights and interests. (Wide Angle Observation)
Shenzhen releases 15 AI application scenarios in government affairs.
According to Mars Finance, the Shenzhen Municipal Government Service and Data Management Bureau recently released the "List of Artificial Intelligence Application Scenarios in the Government Sector in 2026 (First Batch)". The list includes 15 application scenarios covering five major areas: decision support, government services, office work, urban governance, and public services. This reflects Shenzhen's commitment to building a pioneering city in artificial intelligence, using scenario-based approaches to continuously expand the breadth and depth of the integration of artificial intelligence and government affairs. It is understood that this year's list is planned to be released in three batches. The first batch of the list shows that in the field of decision support, several intelligent tools will effectively improve administrative efficiency and accuracy. The Shenzhen Emergency Management Bureau will build an AI-powered disaster evolution trend simulation system, coupled with a smart experience asset model library and intelligent graphic explanations of the simulation process, to shorten the cycle of situation simulation and decision-making response. The Shenzhen Water Resources Bureau will launch an intelligent system to assist in the review of soil and water conservation plans. The Shenzhen Finance Bureau's budget project filling intelligent assistance system aims to reduce error rates and alleviate the burden on users. The Shenzhen Construction and Public Works Bureau will use AI+RA technology to establish a risk assessment checklist before the renovation or use of existing buildings, achieving proactive risk identification, reduced feasibility study deviations, and accurate investment calculations. (Cailian Press)
Samsung released its Q2 earnings forecast: operating profit increased by over 1800% year-on-year, with single-quarter profit exceeding the total of the previous three years.
BlockBeats reported on July 7th that global semiconductor giant Samsung Electronics released extremely strong preliminary financial results for the second quarter. Data shows that, driven by the powerful wave of artificial intelligence (AI), the world's largest memory chip manufacturer is experiencing its most prosperous profit cycle in history. According to the financial report, Samsung's operating profit in the second quarter surged 1810.2% year-on-year, reaching 89.4 trillion won (approximately US$58 billion). This figure not only far exceeded the market's previous expectation of 84.2 trillion won, but also remarkably surpassed the company's total profit for the three years from 2023 to 2025. At the same time, the company's revenue also increased by 129% year-on-year, reaching 171 trillion won. Following Samsung Electronics' earnings forecast, SanDisk (SNDK.O) and Micron Technology (MU.O) saw their US-listed shares decline in after-hours trading. Samsung's explosive performance directly benefits from the near-"thirsty" orders for high-performance memory chips from AI data centers. Industry giants like Nvidia and OpenAI have repeatedly stated publicly that the shortage of memory chips has become a core bottleneck for current AI development. Because major manufacturers prioritize the production capacity of high-bandwidth memory (HBM), which is designed specifically for AI and offers higher profits, this has conversely squeezed the conventional memory space needed for smartphones, PCs, and enterprise servers. This "capacity squeeze" effect has led to a severe shortage in the global memory market. HSBC data shows that in the second quarter of 2026, the average selling price of DRAM increased by more than 40% compared to the previous quarter, and NAND prices increased by more than 50%; Citi Research gives even higher estimates, at 44% and 53% respectively. Analysts generally believe that this "seller's market" will continue at least until 2027, giving Samsung and its long-time rivals SK Hynix and Micron Technology extremely strong pricing power.