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According to Rest of World, Alibaba launched the open-source model platform ModelScope in 2022, and OSChina launched MoArk in 2023, providing model hosting, testing, and customization services for Chinese developers behind firewalls. In 2023, Chinese regulators blocked Hugging Face without disclosing specific reasons; reports indicate that the government simultaneously allowed artificial intelligence laboratories to bypass the blockade to share Chinese models globally. ModelScope currently hosts over 170,000 models and stated in March that it has 170,000 models and 250 million users; MoArk hosts about 20,000 commonly used models, both still below Hugging Face, which hosts over 3 million open models.OSChina CEO Xu Yong stated that not everyone can always use a VPN, and China needs to establish an independent artificial intelligence ecosystem that serves Chinese users, claiming that China is developing an independent ecosystem faster than during the internet era. He also mentioned that MoArk has deployed engineering teams to ensure that models can run on different types of Chinese chips, making it their mission to ensure mainstream open models are compatible with Chinese chips. Both platforms offer some services for free, with additional computing power and premium features charged; ModelScope also hosts university hackathons and has opened co-working and event spaces for AI entrepreneurs in Hangzhou.Headquartered in New York, Hugging Face is a major platform for sharing open models and datasets. In September, Nvidia announced its acquisition of the company for $12.9 billion and noted in regulatory filings that regulators might prohibit sharing Chinese models on the site.

The founder of the general-purpose intelligent agent Manus, Xiao Hong, stated that when Manus was born, Codex and Claude Cowork had not yet appeared in the market, and the product positioning has always been a general-purpose intelligent agent. He likened Manus to a computer-selling business, believing that users may primarily purchase computers for work, but if they cannot watch videos or play games, the experience will be quite limited; therefore, it should not be confined to office tasks.Xiao Hong indicated that videos and games are important scenarios for unleashing creativity, which need to be perfected through the local client Manus Studio. The related videos for Cue are entirely produced by Manus Studio, without using video generation models; instead, the agent first writes the code, which is then converted into video. With the help of cloud computers, Manus can also create online games that support user participation with friends.In terms of infrastructure, Manus cloud computers can provide cloud-based Linux, Mac, and Windows environments. Xiao Hong stated that when the agent operates the computer in the cloud, it will not compete with the user for the local mouse cursor, and he anticipates that individuals will be able to control large-scale computing clusters in the future to satisfy curiosity and conduct experiments and explorations in fields such as mathematics and science. He also described Cue as having an independent phone number, email, payment capability, computer, and sufficient intelligence, and stated that if such agents could be regarded as humans, there might be more changes in upper-level interactions. Xiao Hong mentioned that building product experiences in an overseas open ecosystem is relatively easier, and Manus is actively preparing a domestic version.

The Federal Reserve FOMC statement pointed out that despite uncertainties, domestic consumption remains strong.

At the All-In Summit, Jensen Huang assessed that China will be able to produce its own advanced lithography systems by 2030. He also believes that once the technology matures, China has strong mass production capabilities, and it is only a matter of time before domestic equipment enters local wafer fabs.This assessment is more optimistic than that of Zeiss. Frank Rohmund, the head of Zeiss Semiconductor, recently stated that it may take about 15 more years for China to produce its own EUV lithography machines. Zeiss is a core supplier of ASML's EUV optical systems. The host asked about advanced lithography systems, without specifically limiting it to EUV, and Jensen Huang did not further specify that it was EUV in his response.

The Jiangsu Securities Regulatory Bureau issued a risk warning stating that recently some institutions and individuals have been speculating on the concept of RWA (Real World Asset Tokenization), using phrases like "backed by physical assets, guaranteed principal with high returns, low risk and steady appreciation" to attract public investment. Related activities may give rise to illegal fundraising, fraud, money laundering, and other criminal risks.The Jiangsu Securities Regulatory Bureau emphasized that any financing activities conducted domestically under the name of RWA are illegal financial activities. Without consent or filing, RWA business should not be conducted abroad, and investors are reminded to be wary of promotions such as "guaranteed principal with high returns" and "risk-free profits."

The Financial Times of the UK reports that Huawei is becoming more deeply involved in the domestic photolithography machine supply chain, not only investing in related equipment and component companies but also coordinating suppliers, wafer fabs, and complete machine manufacturers to promote domestic DUV into actual production lines. Bernstein analysts describe Huawei as the "project manager" for China's DUV projects.The fastest progress is being made by Shanghai Yuliangsheng. The company is involved in the development of domestic advanced DUV, with equipment already tested at wafer fabs such as SMIC and Huawei's own production lines, planning to produce 12 units by the end of this year. At this stage, the focus is primarily on simpler chips, with the ultimate goal of being used for advanced AI chip manufacturing.Currently, domestic DUV has not completely eliminated reliance on overseas supply chains. The projection lenses used by Yuliangsheng still come from Germany's Zeiss, and high-power light sources are also a major bottleneck. Huawei has invested in companies such as Qiqi Photon and Keyihongyuan to supplement domestic lenses and light sources.

U.S. Secretary of Commerce Gina Raimondo said on Wednesday that the Trump administration is considering a new round of import tariffs on semiconductors, which could further increase taxes on foreign chips to attract more semiconductor manufacturing to the United States.However, these tariffs may be implemented alongside tax relief measures for investments in domestic manufacturing companies, following the approach previously taken by the Trump administration in the pharmaceutical industry.Raimondo stated, "This is the principle that the semiconductor industry should follow: If you produce in the U.S., we will give you tariff relief; if you do not produce in the U.S., you will pay tariffs. This is a very wise approach and it works."Trump had previously imposed a 25% tariff on some advanced semiconductors and ordered additional import tariffs on these chips in January of this year after the U.S. Department of Commerce completed relevant trade investigations. However, the scope of the new round of tariffs may expand from semiconductors themselves to products containing chips, thereby affecting imports of data center servers and consumer electronics.

According to CCTV Finance, Suiruan Technology will launch online subscription on the Shanghai Stock Exchange's Science and Technology Innovation Board on September 2, with the stock code 688801 and online subscription code 787801. It plans to issue approximately 43.04 million shares, accounting for 10% of the total share capital after issuance, raising 6 billion yuan for the research and development of fifth and sixth generation AI chips and collaborative projects for artificial intelligence hardware and software.Suiruan Technology, along with Moore Threads, Muxi Co., and Birun Technology, is collectively known as the "Four Little Dragons of Domestic GPUs." The other three companies have already gone public, with their closing price increases on the first day of listing being 425.46%, 692.95%, and 75.82%, respectively. Suiruan Technology's revenue for 2023 to 2025 is projected to be 301 million, 722 million, and 990 million yuan, with a three-year compound growth rate of 81.32%.

According to the Securities Times, on August 27, the reporter learned from SenseTime that SenseTime's large device provides domestic computing power support and Token services for the GLM-5.3-Flash recently launched and open-sourced by Zhipu, which is considered another benchmark for the large-scale commercial use of domestic computing power. It was revealed that the daily average Token service volume of SenseTime's large device reached 24.2 trillion in July, and it is expected to exceed a daily average of 100 trillion by the end of 2026.

Zhipu released the lightweight flagship model GLM-5.3 Flash, aimed at competing with DeepSeek V4 Flash, and utilizes over 100,000 domestic chip clusters to provide inference services. The model has a parameter scale of approximately 300B, about 40% of GLM-5.3, and is roughly on par with DeepSeek V4 Flash; it adopts the MoE architecture, with actual activated parameters around 18B, possesses native multimodal capabilities, supports image and video input, and is the first new model with multimodal capabilities following Zhipu's focus on coding strategy.The comprehensive evaluation score exceeds that of the previous flagship GLM-5.2, is on par with Claude Opus 4.8, and is higher than the relevant scores of DeepSeek V4 Pro official version. The pricing is 0.8 yuan per million tokens for input, 2.8 yuan for output, and 0.23 yuan for cache hits, approximately one-tenth of GLM-5.3, with a half-price discount offered for the first two weeks after launch. The model is fully compatible with domestic computing power, online traffic is handled by domestic chips, and Zhipu claims that the cluster hardware efficiency and unit token cost have reached levels comparable to mainstream NVIDIA GPUs; this model was previously tested anonymously on overseas platforms under the code name Ox Alpha.

Korean BC Card announced that it has completed the "Overseas Digital Asset Wallet - Connection of Korean Local Bank Card Payment Infrastructure" pilot test with Coinbase and Wavebridge.The test verified that foreign tourists can directly use USDC in their wallets to make payments at Korean BC QR merchants, achieving a full process linkage from stablecoin payment to Korean won settlement.

The cryptocurrency security warehouse leverage, unified account model, and unified account professional version will add GameStop bStocks (GMEB) as qualified collateral assets on August 12, 2026, at 20:00. Eligible users can use these bStocks tokens as margin collateral, expanding the collateral options for margin trading.

The number of registered users on the Zhipu MaaS open platform (i.e., API users) has approached 7 million, an increase of about 2 million compared to early July, including 23,000 enterprise customers. The user count for the developer product ZCode, which competes with Codex, surpassed one million within one month of its launch.Since the beginning of this year, Zhipu's ARR has grown 15 times. It is understood that after the release of new models by Kimi and Alibaba, Zhipu's ARR growth rate has not been affected. Some investors have revealed that the current ARR has reached $2 billion, but Zhipu's official stance has denied this, with people close to the company indicating that the actual figure should be higher. On July 21, it was reported that Zhipu has built a domestic AI computing power infrastructure with a scale of 1GW. It is understood that more than 50,000 domestic computing chips have been activated to alleviate the growing inference demand. On July 31, Zhipu's long-term Coding Plan, which had significantly increased in price, was opened for purchase.

According to the latest supply chain survey by TrendForce, despite the United States implementing export controls on high-end GPUs, China's AI industry has not slowed down; instead, it is accelerating the construction of a domestic AI supply chain. The report points out that the supply structure of high-end AI chips in China is shifting from reliance on imported GPUs to a dual-track model of "domestic GPUs plus self-developed ASICs," with domestic solutions expected to capture nearly 90% of the Chinese high-end AI chip market by 2026.This year, the Chinese government is actively promoting the adoption of domestic AI chips, with policies prioritizing support for high-potential local manufacturers to significantly expand their market share in the high-end AI server market. Meanwhile, the domestic ecosystem is gradually maturing in key areas such as advanced processes, advanced packaging, and thermal management. TrendForce expects that, against the backdrop of an accelerated domestic substitution process, domestic chip manufacturers like Huawei Ascend, Cambricon, and Haiguang are likely to continue benefiting, and the related industrial chain will usher in structural growth opportunities.

According to The Wall Street Journal, Apple is testing memory chips from the Chinese DRAM manufacturer Changxin Storage (CXMT), planning to apply them to product lines such as the iPhone and MacBook. The background of this move is the AI demand driving up global memory prices; Apple has previously lobbied the U.S. side, stating that the current pricing from Korean and American suppliers is "unsustainable." The report states that Apple is seeking approval from the White House to conduct business with Chinese chip suppliers. Currently, the U.S. allows the purchase of commercial off-the-shelf chips but restricts customized products.Changxin Storage has recently rapidly expanded its market share, with second-quarter revenue growing more than 8 times year-on-year, and its global DRAM market share rising to 7%, completing its IPO on the Science and Technology Innovation Board last month. Meanwhile, PC manufacturers such as HP and Acer have begun using Changxin Storage memory chips in some devices sold in non-U.S. markets to alleviate supply pressure. If Apple ultimately reaches a procurement agreement, it may face political resistance from Washington.

According to Counterpoint Research analysis, if the proposed import ban on Chinese optical modules by the Federal Communications Commission (FCC) in the United States is implemented, it will primarily impact American cloud providers rather than Chinese suppliers. InnoLight leads the global data center optical module revenue with approximately 27% market share, while Coherent ranks second with about 17%. Chinese manufacturers collectively account for about two-thirds of the global unit supply and approximately 60% of the optical communication module revenue.The analysis points out that Western suppliers like Coherent and Lumentum lack sufficient cleanroom capacity, automated packaging infrastructure, and yield scale in the short term, making it impossible to fill the capacity gap left by Chinese manufacturers within 12-24 months. This could lead to delays in AI cluster deployments by several quarters and increase material costs for cloud providers. At the same time, Chinese module manufacturers rely on high-end 800G/1.6T module revenue from North American hyperscale customers for over 90%, but have achieved partial capacity relocation by establishing factories in Thailand.Counterpoint emphasizes that the optical module supply chain is a highly interdependent system. Chinese manufacturers heavily procure DSP chips from Broadcom and Marvell, as well as lasers and optical chips from Lumentum, Coherent, and Mitsubishi Electric. A forced separation would disrupt the entire ecosystem.

According to data from the multi-model aggregation platform OpenRouter, from July 27 to August 2, DeepSeek V4 Flash topped the global AI large model usage ranking with a call volume of 7.22 trillion tokens. Data from the open-source platform OpenCode shows that this model alone processed 8 trillion tokens on August 1. Four out of the top five positions are occupied by Chinese large models: Xiaomi's MiMo-V2.5 (5.1 trillion), Tencent's Hunyuan Hy3 (5.01 trillion), and another DeepSeek V4 Flash model (3.45 trillion) ranked second to fourth, while OpenAI GPT-5.6 Luna (2.99 trillion, a month-on-month increase of 738%) ranked fifth.The total call volume of Chinese large models last week reached 28.13 trillion tokens, surpassing the United States for 14 consecutive weeks, firmly holding the top position globally. The previously highly anticipated Kimi K3 fell out of the top ten this week, ranking 12th. It is noteworthy that free models are capturing an increasing share of traffic, with some models experiencing month-on-month growth exceeding 50%. Analysis indicates that domestic models have shifted from price competition to relying on inference performance and stable service capabilities, but companies like OpenAI and Anthropic continue to iterate, accelerating the internal competition and the pace of product iteration will determine user retention capabilities.

According to Gate market data, GameStop (GME.N) pre-market decline has expanded to 12%.