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【X 长文】Weekly Dose of China Tech 10.26.2026

Dear Reader,

This week, we examine the rapid reshaping of China's AI ecosystem amid mounting geopolitical friction. As foreign bans and export restrictions target proprietary tech, China's domestic players are accelerating full-stack hardware integration—building gigawatt-scale data centers, deploying domestic AI accelerators, and empowering young power brokers to drive the next generation of multimodal AI models and physical tech.

Let's take a look.

Weekly News...

(I) Kimi K3.1 Launch Sparked Backlash, Prompting Official Apology

Kimi recently released its new model, Kimi K3.1, which doubles down on specialized engineering tasks aimed at real-world execution rather than standard LLM capabilities.

However, the launch was quickly overshadowed by heavy user backlash over K3.1 Pro's high costs and aggressive rate limits, leading Kimi AI to officially issue an apology.

In response to the controversy, the company is tuning down chatty sub-agents so they stop burning credits on excessive output, while giving paid users a 25% monthly quota reset.

(II) China Proposes Stricter Export Controls on Frontier AI Tech

China's Ministry of Commerce and Ministry of Science and Technology have proposed adding 23 AI technologies—including frontier LLMs exceeding 2 trillion parameters, AI agents, computing cluster systems, and vulnerability discovery tools—to the country's restricted export catalogue.

The draft explicitly excludes open-source releases, academic research, and standard API calls.

As Chinese models gain global traction, Beijing is strengthening oversight over proprietary AI. There may be new hurdles for cross-border tech partnerships.

(III) Huawei Secures $2.25B Loan for AI Chips

As the primary chip supplier for most Chinese AI labs, Huawei has secured a seven-year, $2.25 billion offshore loan from six Chinese banks, Bloomberg reports. The deal highlights the tech giant's reliance on domestic lenders amid ongoing US restrictions.

The financing will support its aggressive push into AI-chip development, research, and memory stockpiling. However, even with buyers like DeepSeek planning massive deployments of its accelerators, production output remains tightly constrained.

Meanwhile, aggressive spending continues to weigh on liquidity: the company poured $17 billion into R&D in the first half of the year alone, driving negative cash flow to $5.6 billion.

(IV) DeepSeek Reveals How It Will Spend Its $15B Mega-Funding Round

According to 36Kr, DeepSeek's massive $15 billion funding round is earmarked for a 1GW data center in Ulanqab, Inner Mongolia, powered by at least 160,000 Huawei Ascend 950DT chips. Because a facility of this scale requires immense power, Ulanqab's cheap renewable energy is essential to control its heavy operational expenses.

Meanwhile, CATL reported an additional $1.4 billion top-up in this round so that it can secure its role as a key provider of a complete energy solution, including energy storage, direct green power connection, and power grid interface.

Consequently, China's domestic AI race has gradually shifted from "who builds the best model?" to "who builds the data center first?"

(V) MiniMax Debuts Open-Weights M3.1 Flash

Chinese AI startup MiniMax has released...

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