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According to a report by 21 Finance, Huang Zhenxin, the head of Kimi B-end at Moonshot AI, stated in a recent communication meeting that there is indeed a bubble in the current AI industry, but the fundamentals are very solid. Enterprises can now clearly calculate the return on investment (ROI), and the substantial transformation in productivity brought by AI has already occurred.Regarding the recent phenomenon of widespread price increases among model vendors, Huang Zhenxin pointed out that the core reason lies in the rising global computing power costs, and chip production capacity cannot meet the explosive growth in Token demand. He emphasized that evaluating the cost-performance ratio of models should not only look at the unit price of input and output but should also focus on the Cache hit rate. It is reported that Kimi's original factory Cache hit rate has reached over 90%, significantly reducing actual computing costs.In addition, Huang Zhenxin revealed that Kimi will continue to challenge innovations in underlying architecture to sustain the Scaling Law, and its Muon optimizer, which has been validated on a large scale, is now widely adopted by several mainstream large models in the industry. Regarding the "last mile" of enterprise AI implementation, he believes that as the foundational capabilities of models continue to strengthen, the technical paradigms at the application layer will also continue to simplify.

Samsung officially announced a large-scale investment plan totaling up to 265.5 trillion Korean won (approximately 1.168 trillion yuan).It is reported that the core of this investment plan will focus on the semiconductor industry clusters in Yongin and Pyeongtaek, South Korea, with an expected investment of 203 trillion Korean won, aiming to comprehensively deepen and accelerate Samsung's long-term layout in cutting-edge fields such as semiconductor manufacturing, AI computing data centers, and physical AI.

According to C114 Communication Network, China Mobile has recently established a "Token Office" at the group level, directly led by the core leadership of the group, with the general manager of the Strategic Development Department serving as the executive deputy director, a position higher than the previous Computing Power Office.It is reported that this department aims to streamline the entire process of "creating Tokens, delivering Tokens, and applying Tokens," breaking the previous situation where multiple secondary departments such as the Computing Power Office, Mobile Cloud, Digital Intelligence Business Unit, Marketing Department, and Government and Enterprise Business Unit operated independently. Its core mission is to promote the implementation of two underlying capabilities in the intelligent era of China Mobile: first, to introduce the MobileClaw intelligent framework with a rich "skill package," and second, to gather over 300 mainstream models on the Mobile MoMA model platform, to accelerate the commercial implementation and large-scale operation of operators in the dimensions of AI network infrastructure and model application.

CITIC Construction Investment Research Report points out that the following factors will determine the trend of the third quarter market: In terms of fundamentals, AI computing power remains at a high level of prosperity, with mid-year performance and overseas financial reports worth paying attention to. At the same time, since April, under pressure from the macro economy, the economic measures from the Politburo meeting in July are quite important; In terms of liquidity, external disturbances have increased, while internal conditions remain neutral; In terms of risk appetite, geopolitical events and the listing of industry giants will cause short-term fluctuations in the market. Considering the global tech stock correlation effect, major overseas computing powers such as Japan, South Korea, and the United States also need to be continuously monitored.In terms of industry allocation, although the logic of AI computing power remains unchanged, volatility has intensified. It is recommended to be cautious about chasing highs and to position during pullbacks; lithium batteries are expected to welcome a peak season, and energy storage demand continues to warm up, while new energy presents opportunities for phased valuation recovery; dividends are expected to rebound from oversold conditions, with relatively high cost-performance ratios. Key areas to focus on: banks, coal, public utilities, AI, optical modules, storage, chips, industrial metals, lithium battery materials (VC), etc.

According to a report by the Financial Times cited by Jinshi, Google has imposed limits on Meta's use of its Gemini AI model, as Meta's computing power exceeds what Google can provide.The report states that Google informed Meta around March that it could not meet all of the Gemini computing power that Meta sought to purchase, adding that this gap disrupted and delayed some of Meta's internal AI projects. The report also noted that several other clients of Google were affected, but to a lesser extent. The Financial Times stated that Meta was particularly severely impacted due to its exceptionally high demand for Google's models.

According to WEEX TradFi data, the US stock market has been fluctuating recently, with funds continuously focusing on AI infrastructure-related directions, among which the AI power and energy sector has shown strong performance. Among them, Eaton (ETNON, a leader in data center power management) rose by 3.15%, Vistra (VSTON, an AI power and generation company) rose by 2.22%, and GE Vernova (GEVON, a leader in grid equipment and generation facilities) rose by 1.65%. WEEX Labs believes that the expansion of AI computing power continues to increase the power demand of data centers, and power management and energy infrastructure are becoming important supporting links in the AI industry chain, with increasing attention on related assets.

According to The Information, cloud computing startup Runpod announced the completion of a $100 million financing round and stated that it has rejected multiple acquisition offers, with specific investor information not yet disclosed.The company focuses on providing GPU computing power rental services for developers, supporting the deployment of open-source models and AI applications. Currently, this sector generally relies on NVIDIA GPU servers for computing resources. As AI applications expand, the market demand for low-cost, highly flexible computing infrastructure continues to rise, driving up the valuations and financing enthusiasm for cloud service providers like Runpod.

According to official news, the computing power market infrastructure company Ornn announced the completion of a $33 million seed round financing, led by a16z Crypto, with participation from Galaxy Ventures, Nordstar, and SV Angel, while Vine Ventures, Crucible Capital, Link Ventures, and Box Group continue to support.Ornn stated that a mature commodity market first requires reliable pricing data, which leads to price discovery, and price discovery then supports risk transfer, which in turn enables more efficient capacity allocation. The OCPI it launched is a transaction-based computing power index aimed at providing a unified and trustworthy price benchmark for settlement in the computing power market. Partners like ICE can promote risk transfer by directly referencing OCPI's futures and options contracts.Additionally, Ornn announced the launch of Ornn Compute, a physical capacity layer for the computing power market that can aggregate dedicated GPU capacity from multiple neoclouds onto a single platform, providing a unified access process, a secondary transfer market, and on-demand subleasing capabilities. Operators can obtain diversified demand from multiple tenants through a single underwriting contract, while buyers can view the sites, hardware configurations, and terms of the reserved clusters. This platform will make dedicated GPU capacity a liquid asset and allow previously idle capacity to be utilized.

The B.AI platform's "custom service provider" model matrix has officially expanded, with the latest integrations of mainstream large models such as Moonshot (Kimi series) and Z.ai (GLM series).This module covers four major discount groups: 10% off, 40% off, 60% off, and 80% off. Users can generate a personalized "discount model invocation Key" with a single click, allowing for flexible switching between core business and daily testing, achieving a precise balance of high availability and low cost.In addition, all discounts can be stacked with a maximum 1:1 recharge bonus, further lowering the computational power threshold. Starting today, log in to the B.AI console to customize your exclusive model combination and immediately enter the era of AI invocation with exceptional cost performance.

According to The Block, the U.S. Department of Justice has seized a cloud computing account used by Huione Group, which is accused of laundering billions of dollars in cryptocurrency scam proceeds. Assistant Attorney General A. Tysen Duva stated that the account constituted technical support, enabling the transfer and concealment of scam funds through Southeast Asian scam centers. This action is part of "Operation Choke Point," under which the U.S. Financial Crimes Enforcement Network had previously identified Huione Group as a primary money laundering concern.The statement claims that Huione's subsidiaries are suspected of assisting criminals in transferring funds from investment scams, cyber theft, and other illegal blockchain activities, ultimately injecting them into the legitimate banking system, with a significant amount of theft reportedly linked to North Korea. Huione's "Huione Guarantee" had previously posted advertisements for stolen credit cards, identity information, malware profits, and human trafficking services on Telegram channels. Blockchain analytics firm Elliptic pointed out that Huione launched the stablecoin USDH under financial pressure last year and developed a proprietary product line that includes a decentralized exchange, wallets, and "Huione Chain" (Xone).

According to a report by The Information, the confidential IPO registration draft submitted by OpenAI shows that as of the end of March 2026, OpenAI's balance sheet exhibits "light asset" characteristics, with zero debt on the books and capital expenditures of only $46 million in the first quarter. However, in reality, the company has placed substantial infrastructure expenditures off the books, with future procurement commitments in chips, energy, and data centers reaching up to $665 billion. Financial data indicates that OpenAI's actual net loss in the first quarter was approximately $8.5 billion, with revenue costs amounting to $3.5 billion.Additionally, OpenAI demonstrates a very high characteristic of related-party funding cycles. In the first quarter, 72% of its revenue costs and 45% of total expenditures flowed to related parties (expected to be primarily Microsoft), and it directly used $488 million in equity to settle part of its computing power bills. In the data center joint venture project within its consolidated financial statements, nearly $5 billion in book losses is accounted for as belonging to external partners. The documents also reveal that its main competitor, Anthropic, is similarly engaging in large-scale off-balance-sheet expansion, including $4.5 billion in data center service commitments and $35 billion in chip leasing orders.

According to Jinshi reports, SpaceX has signed a computing power agreement with the American AI startup Reflection, with a transaction amount of up to 6.3 billion dollars.

The MiniMax M 3.0 free computing power event launched by the B.AI platform on June 18 is now in the countdown phase and will end in 3 days. It is reported that new users who log in to the platform for the first time through Binance Wallet or Bitget Wallet can receive a reward of 1 million free Credits.In addition, during the event, the platform offers a recharge cashback mechanism. Users can receive a 1:1 equivalent Credits bonus for recharging on the BNB Chain, and a 1:0.5 ratio bonus for recharging on other public chains, with a maximum cumulative bonus limit of 100 USD equivalent per user. According to the information, the MiniMax M 3.0 model previously ranked first in the Artificial Analysis open-source model leaderboard.

Coinbase CEO Brian Armstrong recently stated in an interview that the threat of quantum computing to Bitcoin has been greatly exaggerated. "This is not a problem unique to cryptocurrency; it's something the whole world needs to deal with. We are working directly with core developers to address quantum issues."

CZ Zhao shared his interview video on platform X, discussing the potential impact of quantum computing on the Bitcoin encryption system, including the threat to Satoshi Nakamoto's Bitcoin holdings. If future quantum attacks lead to the old encryption system being compromised, the community may face three options.The first is to "do nothing," allowing the relevant assets to be naturally transferred by attackers and create selling pressure, but ultimately it may lead to a redistribution back to the community;The second is to freeze or restrict relevant addresses and envision returning assets under verifiable identities, but he believes this path has technical and credibility issues after the encryption is compromised;The third is an intermediate solution such as "slowing down or delaying transfers," but it also has execution complexities.CZ also proposed a compromise idea: to set a time window through community governance, such as 6 to 12 months. If the funds in relevant early addresses have not moved, they would be locked through a network fork or protocol upgrade, permanently removing them from circulation, thus avoiding future concentrated theft by attackers that could create market selling pressure. He emphasized that such decisions should be determined by community voting and believes there is currently no perfect answer, but "not taking any action may become the worst outcome in the future," so mechanisms should be designed in advance to address potential quantum risks.

According to a report by The Information, Broadcom announced its support for the Anthropic computing power project participated by Apollo and Blackstone.On the surface, this deal appears to be a financing arrangement for AI computing infrastructure, but industry insiders believe that its core lies in indirectly driving the long-term demand growth for Broadcom's custom AI chips by promoting large-scale AI computing deployments.