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According to Bloomberg's report on October 22, Huawei Technologies Co., Ltd. has secured a loan of 15 billion yuan (approximately 2.25 billion USD), amid a significant increase in chip spending for artificial intelligence-related projects. A knowledgeable source stated that this seven-year offshore yuan loan was provided by six Chinese lending institutions, including Bank of China, China Construction Bank, and Industrial and Commercial Bank of China, and the funds will be used for general corporate purposes. The source requested anonymity as the discussion pertains to non-public matters.According to Moneycontrol, which reprinted the content attributed to Bloomberg, this transaction illustrates the role of domestic lending institutions in Huawei's offshore financing since the United States imposed restrictions on Huawei in 2019. Before finalizing, Huawei had exploratory contacts with international banks. Huawei, Bank of China, China Construction Bank, and Industrial and Commercial Bank of China did not immediately respond to requests for comment.The report states that Huawei's research and development expenditure increased to 121 billion yuan in the first half of this year, while stockpiling due to soaring memory costs led to a negative cash flow of 39.9 billion yuan, eroding current profits. According to compiled data from Bloomberg, this is Huawei's first offshore syndicated loan since raising 11.8 billion Hong Kong dollars (approximately 1.5 billion USD) in 2020.

DeepSeek announced the full open-source of its internal inference framework DeepInfer, and simultaneously open-sourced the production-level token encoding and decoding component deepseek-recipe. DeepInfer integrates high-performance operators and a deeply optimized inference engine, supporting distributed inference, speculative decoding, SWA Bounded Replay, and structured output, compatible with NVIDIA and Huawei Ascend platforms.DeepSeek stated that it has implemented high throughput and low latency large-scale inference services for DeepSeek V4.1 Flash based on DeepInfer, and future inference code and optimizations for new models will continue to be updated here. deepseek-recipe is fully aligned with the processing logic of the DeepSeek official API, aiming to ensure that the community receives an experience consistent with the official deployment. The open-source repository and technical report have been released simultaneously.

According to The Information, DeepSeek is collaborating closely with Huawei to jointly design the next generation of AI chips, aiming to build models that do not rely on NVIDIA's computing power. Insiders revealed that Huawei engineers have entered DeepSeek's office to understand its model architecture and algorithm requirements, and to test how the chips handle data transmission and compression, with the first compatible chip targeting Ascend 950DT.The report pointed out that this move comes as China pushes to reduce its dependence on American chips. Limited by TSMC's foundry services and U.S. export controls, Huawei's Ascend 950DT is planned for release in 2027, but mass production may be delayed until 2028. To address the chip shortage, DeepSeek is using the TileLang programming language to bypass CUDA restrictions, while still attempting to acquire the banned NVIDIA Blackwell chips through third-party data centers. In addition, DeepSeek is forming a chip team and has begun testing clusters with over 1,000 processors.

On October 12, Huawei held a Kirin chip technology exchange meeting in Shanghai, marking the first chip-level technical communication meeting in six years, and systematically introduced the mass production progress of logic folding. Xu Songyu, head of the semiconductor business wireless terminal chip product management department, introduced that the Kirin chip has entered the testing phase in 2027, and the test results meet expectations; since 2023, the cumulative shipment of terminal products based on the Kirin chip has exceeded 100 million.The Kirin 9050 series is the first Kirin chip built on logic folding technology. Xu Songyu explained that logic folding is not simply stacking multiple chips, but rather a systematic design from a three-dimensional perspective at the beginning of the design, treating multiple dies as a complete chip for collaborative design. This series features over 50 million hybrid bonds, with effective signal interconnections exceeding 5 million, and a transistor density increase of 53.5%. The CPU large core efficiency of the Kirin 9050 Pro has improved by 41%, and the NPU computing power has increased by 140%; the current hybrid bonding pitch is 1.5 microns, and Huawei plans to further reduce it to 1 micron by 2027.The architecture of the Kirin 9050 Pro announced at the meeting includes the new generation Lingxi CPU, Maliang GPU, and Da Vinci architecture NPU, among others. This series is aimed at Mobile Agent, adopting a collaborative architecture of a large brain and a small brain on the edge, supporting the operation of a 30B MoE large model on the edge. The new generation Lingxi CPU features a 9-core 16-thread design, with a 23% improvement in multi-core performance, and the new generation Maliang GPU has a 40% performance increase.

Mr. Li Yi, a Douyin user, posted a video on social media stating that on June 10 of this year, he downloaded a fake wallet from the official Huawei store, which led to the exposure of his mnemonic phrase and the theft of 177,473 USDT.According to his description, the hacker changed the permissions of his wallet address to multi-signature, and then implemented a secondary scam under the pretext of unlocking it for spending money. After the victim transferred funds, all USDT in the address was transferred away.Mr. Li Yi claimed that after he released the video exposing the app, the download volume of the app in the official store plummeted. The hacker repeatedly gathered internet trolls to report his video, causing it to be forcibly taken down, and privately attempted to negotiate a conditional agreement to delete the video.He also stated that after conducting a private investigation, he learned that the scam app had five servers set up in Hong Kong, paying to have the app listed in the Huawei official store and to boost its ranking, causing a large number of victims to download it first in searches. Due to relevant bans in mainland China, related wallet apps cannot be normally launched in the store, so any app that cannot be launched but does exist in the store may be a counterfeit scam app.

Huawei announced that Huawei and Qualcomm have reached a multi-year, broad patent licensing agreement, which includes cross-licensing of patent portfolios in multiple fields such as 5G, computing, artificial intelligence, and networking, as well as Qualcomm's acquisition of some of Huawei's U.S. patents.The transaction will be completed upon obtaining the necessary regulatory approvals. The agreement reflects the two companies' shared commitment to intellectual property protection and adherence to licensing practices that are fair, reasonable, and non-discriminatory.

According to The Information, citing informed sources, DeepSeek CEO Liang Wenfeng listed training large models with domestic chips such as those from Huawei as one of the company's biggest bets at the latest closed-door investor meeting, stating that this must succeed. DeepSeek expects to receive a new batch of Huawei chips for training as early as the fourth quarter of this year, although the specific models and quantities have not been disclosed.Liang Wenfeng believes that Huawei chips are expected to catch up with Nvidia in just a few years and hopes that DeepSeek will adapt to hardware beyond Nvidia in advance. DeepSeek is still using Nvidia chips to train models. In May of this year, Liang Wenfeng estimated that training the top-tier large models would require about 50,000 Nvidia GB300 chips, while switching to Huawei Ascend 950 would require about 200,000 chips, with the biggest issue at that time being insufficient supply from Huawei.

Huawei's rotating chairman Wang Tao stated at the Huawei Connect Conference 2026 that the Ascend 960 chip is ready ahead of schedule, achieving a doubling of performance. Among them, the Ascend 960DT will be released in Q1 2027, three quarters earlier than originally planned; the Ascend 960PR will be released in Q3 2027, one quarter earlier than originally planned.Wang Tao mentioned that they will adhere to an annual evolution pace, with the Ascend 970 planned for release in 2028 and the Ascend 980 planned for release in 2029.

Security researcher Shou Chaofan stated that he just purchased about 6TB of Fable model invocation data from a leading Chinese model relay station, which included sensitive credentials such as SSH keys, VPN configurations, Alibaba Cloud keys, and GitLab tokens. He claimed that the keys in this batch of data were sufficient for him to access the servers or internal systems of 19 leading Chinese companies, as well as 7 Chinese and CIS government-related agencies, including Huawei, Xiaomi, NIO, and MiniMax.The model relay station is positioned between users and models like Claude, so requests and responses pass through it first, allowing it to see the complete plaintext. Once developers insert SSH Keys, API Keys, VPN configurations, etc., into the Agent context, if the relay station saves or even sells these records, the company's system keys will also leak out. This is not the first time Shou Chaofan has warned about the risks of relay stations. A paper he participated in tested 428 LLM relay stations in April and found that 9 actively injected malicious code, 17 actually used AWS test keys deliberately placed by researchers to call AWS, and 1 directly transferred ETH from the test wallet.Shou Chaofan is a co-founder of the blockchain security company Fuzzland and has long been engaged in vulnerability and supply chain security research. At the end of March, he also first discovered that the source map in the Claude Code 2.1.88 release package accidentally exposed about 500,000 lines of TypeScript source code.

According to a Reuters exclusive report on September 10, Chinese AI chip manufacturers have significantly raised prices due to a shortage of high-bandwidth memory. Huawei has raised the indicated price of the Ascend 950DT accelerator card to over 250,000 yuan, an increase of 20% to 50% compared to two months ago. Cambricon has raised the indicated price of its planned 690 chip by 20% to 30%, and both Muxi and Tian Shu Zhi Xin have also implemented similar price increases.The report states that the reasons include U.S. export controls and the high costs of high-bandwidth memory supplies in the gray market. Prices for earlier Huawei products such as the Ascend 950PR and 910C have also increased by about 30%. These price increases have raised the construction costs of AI computing power in China. Huawei, Cambricon, and other companies did not comment.

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.

Malaysia is leaning towards relying on Huawei Technologies' artificial intelligence chips to power its sovereign AI program. The Southeast Asian country is seriously evaluating the use of Huawei AI hardware as the backbone of a 2 billion ringgit (approximately 494 million USD) initiative aimed at giving the country greater control over national data.Insiders say it is currently unclear how many chips Malaysia will purchase, and these individuals requested anonymity due to unauthorized disclosure. This move faces strong opposition from the administration of U.S. President Donald Trump.

On the 7th, Huawei released the Mate XT 2 foldable phone in Guangzhou, equipped with the latest Kirin 9050 Pro chip, which is the first high-performance chip to use logical folding technology.The Kirin 9050 Pro layers the logical units within a single chip, adding vertical interconnection channels internally, resulting in shorter signal transmission paths, lower latency, and better performance. This is also the first time Huawei has launched a new Kirin chip at a flagship launch event in six years since the global release of the Huawei Mate 40.

According to a report by Bloomberg on September 4, the artificial intelligence company DeepSeek plans to deploy at least 160,000 top accelerators from Huawei Technologies Co. in a large data center being built in Inner Mongolia, potentially forming one of the largest known clusters of Huawei AI chips and advancing China's efforts to replace Nvidia.DeepSeek intends to use Huawei's next-generation Ascend 950DT chips to run its models, with the installation timeline depending on Huawei's production capacity. Sources say that the company currently does not plan to use the 950DT chips for training, although Huawei has designed and marketed these processors for more demanding training functions. DeepSeek had previously attempted to train models using Huawei chips but has so far relied on Nvidia accelerators to complete this critical step.

Meta CEO Mark Zuckerberg expressed concerns about the plan to establish a national AI regulatory agency during a phone call with U.S. President Donald Trump last month. The proposal, advocated by Google DeepMind scientist Demis Hassabis and supported by some White House officials, aims to create an independent organization similar to FINRA to review and test potential risks before the broader deployment of advanced AI models. White House officials previewed the proposal to Trump and major tech companies, including Meta, in mid-August.Trump spoke with Zuckerberg during the week of August 17. According to senior White House officials familiar with the conversation, Zuckerberg opposed the proposal. Another informed source indicated that Zuckerberg did not ask Trump to change his position but told him that the personnel of the regulatory agency the White House might appoint should reflect Trump's light-touch approach to AI, noting that Trump made the call first. The conversation did not kill the idea, which is still under consideration. A Meta spokesperson declined to comment. A White House spokesperson stated that the Trump administration is committed to balancing innovation and safety in AI policymaking.In an article in August, Zuckerberg expressed skepticism about strict government regulation of new AI models, arguing that any policy that delays the release of models by even a month would pose significant risks to the U.S. leadership position relative to China. The government is considering a FINRA-like regulatory agency or a voluntary industry organization similar to the Motion Picture Association of America. Trump's former AI and crypto czar, David Sachs, opposed government regulatory agencies, calling them "the DMV of AI." Anthropic co-founder Jack Clark expressed support for the FINRA-like idea in a post in July.

In a leaked internal conversation from the DeepSeek investor conference, DeepSeek founder Liang Wenfeng elaborated on his core views regarding the development of the domestic AI computing power industry and ecosystem. He stated that the current domestic AI chip replacement is facing a historic opportunity, with no compatibility barriers in hardware and ecosystem, and that NVIDIA cannot block the replacement process. The only current issue is insufficient production capacity, and it is expected that within a year, the market's perception of domestic chips as "unusable and poor-performing" can be reversed.He pointed out that NVIDIA's CUDA ecosystem moat is rapidly collapsing, and multiple industry transformations combined with export controls have opened a development window for domestic AI chips. He revealed that DeepSeek has partnered with Huawei to obtain 16,000 950 cards to run the ecosystem, and Huawei's 950 super nodes can completely replace NVIDIA's GB200 and GB300 in terms of performance and price, showing an optimistic attitude towards the development of the domestic computing power industry.

The DeFi protocol Fluid officially announced the launch of the aWETH redemption protocol. Due to the ETH utilization rate on the Aave platform reaching 100%, many borrowers are currently unable to withdraw funds, and they will face increasing risks if the market fluctuates. The aWETH redemption protocol will allow ETH borrowers to: • Redeem for wstETH or weETH • Immediately restore liquidity • Reduce liquidation risk.If users only borrow ETH, they can fully redeem it. If users have ETH collateral and other debts, the collateral will be seamlessly converted to wstETH or weETH, while the debt remains unchanged. Fluid is collaborating with Lido Finance, EtherFi, and other ecosystem partners to reduce systemic risks in DeFi, alleviate usage pressure, and support a healthier DeFi market. The initial capacity limit of the protocol is set at $1 billion in ETH.

Huawei has launched the Xiaoyi Claw based on the HarmonyOS, which is currently in beta version. According to the introduction, Xiaoyi Claw can assist users with tasks such as document editing, writing PPTs, and automatically replying to emails, supporting multi-device collaboration and presetting various personalities.Previously, the Huawei Xiaoyi Open Platform indicated that it has added the OpenClaw mode.

According to Binance spot data, the market has experienced significant volatility. AWE has dropped 38.12% in the last 24 hours, while DOLO has risen 5.99% and reached a new high for today.In addition, SNX is in a "high and then low" state, with a 24-hour decline of 8.65%. KAVA, ONT, SUPER, and GPS have all reached new lows for today, with declines of 5.07%, 7.15%, 6.22%, and 7.05%, respectively. WAN has reached a new low for the week, with a decline of 5.06%.

According to Binance spot data, the market has experienced significant volatility. AWE has risen by 14.3% in 24 hours, and SKY has increased by 8.14%, reaching a new high for today.At the same time, MUBARAK, BANK, and ONT have shown a "pullback" state, with 24-hour declines of 7.67%, 7.33%, and 12.2%, respectively.The remaining tokens LSK and ZRX have also reached new highs for today, with increases of 6.76% and 5.51%, respectively.