… China’s extensive AI-powered visual surveillance systems are already well documented. This report reveals new ways that the Chinese Communist Party (CCP) is using large language models (LLMs) and other AI systems to automate censorship, enhance surveillance and pre-emptively suppress dissent.
… AI-powered technology is widening the power differential between China’s state-supported companies operating abroad and foreign populations—further enabling some Chinese companies to systematically violate the economic rights of vulnerable groups outside China, despite Beijing’s claims that China respects the development rights and sovereignty of other countries.
The risks to other countries are clear. China is already the world’s largest exporter of AI-powered surveillance technology; new surveillance technologies and platforms developed in China are also not likely to simply stay there. — Read More
Tag Archives: China AI
DeepSeek just dropped two insanely powerful AI models that rival GPT-5 and they’re totally free
Chinese artificial intelligence startup DeepSeek released two powerful new AI models on Sunday that the company claims match or exceed the capabilities of OpenAI’s GPT-5 and Google’s Gemini-3.0-Pro — a development that could reshape the competitive landscape between American tech giants and their Chinese challengers.
The Hangzhou-based company launched DeepSeek-V3.2, designed as an everyday reasoning assistant, alongside DeepSeek-V3.2-Speciale, a high-powered variant that achieved gold-medal performance in four elite international competitions: the 2025 International Mathematical Olympiad, the International Olympiad in Informatics, the ICPC World Finals, and the China Mathematical Olympiad. — Read More
DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
Large language models have made significant progress in mathematical reasoning, which serves as an important testbed for AI and could impact scientific research if further advanced. By scaling reasoning with reinforcement learning that rewards correct final answers, LLMs have improved from poor performance to saturating quantitative reasoning competitions like AIME and HMMT in one year. However, this approach faces fundamental limitations.
Pursuing higher final answer accuracy doesn’t address a key issue: correct answers don’t guarantee correct reasoning. Moreover, many mathematical tasks like theorem proving require rigorous step-by-step derivation rather than numerical answers, making final answer rewards inapplicable.
To push the limits of deep reasoning, we believe it is necessary to verify the comprehensiveness and rigor of mathematical reasoning. Self-verification is particularly important for scaling test-time compute, especially for open problems without known solutions. Towards self-verifiable mathematical reasoning, we investigate how to train an accurate and faithful LLM-based verifier for theorem proving. We then train a proof generator using the verifier as the reward model, and incentivize the generator to identify and resolve as many issues as possible in their own proofs before finalizing them. — Read More
Meet the new Chinese vibe coding app that’s so popular, one of its tools crashed
A Chinese vibe coding tool went viral so fast that its signature feature crashed just days after it launched.
LingGuang, an AI app for vibe coding and building apps using plain-language prompts, launched last Tuesday and reached over 1 million downloads in four days. By Monday, the app had crossed 2 million downloads, said Chinese tech group Ant Group, which built the AI coding assistant tool.
On Monday, LingGuang ranked first on Apple’s mainland China App Store for free utilities apps and sixth overall for free apps. — Read More
The First AI (foreign) English Teacher “Takes Office”: The Encounter Between Human Children and Artificial Intelligence
Today’s children are true “AI natives.” They are born and raised in the AI era; interacting with the digital world is an innate instinct. The AI entities that provide them with education must also be immersive, interactive, personalized, and warm.
The birth of AI English teacher Jessica heralds the future of education: no longer one-way knowledge transmission, but rather the natural acquisition of a communication ability to face the world through symbiosis and dialogue with AI. She possesses a vast amount of knowledge, boundless patience, a memory capable of remembering every child’s situation, and a warm heart—a true “super-teacher.” — Read More
Kimi K2 Thinking
Today, we are introducing KimiK2Thinking, our best open-source thinking model.
Built as a thinking agent, it reasons step by step while using tools, achieving state-of-the-art performance on Humanity’s Last Exam (HLE), BrowseComp, and other benchmarks, with major gains in reasoning, agentic search, coding, writing, and general capabilities.
… K2 Thinking is now live on kimi.com under the chat mode [1], with its full agentic mode available soon. —Read More
Lexicon: How China talks about ‘agentic AI’
Three months after the Chinese AI company DeepSeek shocked global markets with a highly capable reasoning model, another China-linked company made a splash with a capable agentic AI system. Did Manus, released in March 2025, portend Chinese leadership in AI systems that go beyond chatbots to take action on the user’s behalf? Victor Mustar, head of product at Hugging Face described Manus’ capabilities as “mind-blowing, redefining what’s possible.” A journalist’s comparison with ChatGPT DeepResearch found that Manus provided better results, despite speed and stability issues.
Manus had been released by a Singapore-based firm but developed by a startup in Wuhan with backing from the Chinese tech giant Tencent. It wasn’t China’s only foray into the emerging field. The same month, the Beijing-based firm Zhipu AI launched AutoGLM-Rumination, an open-source agentic system the company said achieved “state-of-the-art” scores on benchmarks such as AgentBench. (Zhipu also announced an “international alliance” for autonomous AI models, to include 10 countries associated with the Belt and Road Initiative and from ASEAN.) Earlier in January, Alibaba released the Qwen-Agent framework for building agentic systems with its Qwen models. ByteDance followed with its Coze Studio platform in July. Last month, Tencent open-sourced Youtu-Agent agentic framework, which was reportedly built atop a DeepSeek model.
With so much action this year in Chinese “agentic” AI efforts, it’s worth pausing to ask what Chinese developers mean when they talk about agentic AI. Moreover, what does the proliferation of such systems in China mean for AI safety and governance in the country? — Read More
High Stakes in the U.S.-China AI Chip Race
China’s decision to use domestic AI chips instead of buying from Nvidia signals progress — and newfound confidence — in its own semiconductor industry.
st week, China barred its major tech companies from buying Nvidia chips. This move received only modest attention in the media, but has implications far beyond what’s widely appreciated. Specifically, it signals that China has progressed sufficiently in semiconductors to break away from dependence on advanced chips designed in the U.S., the vast majority of which are manufactured in Taiwan. It also highlights the U.S. vulnerability to possible disruptions in Taiwan at a moment when China is becoming less vulnerable.
After the U.S. started restricting AI chip sales to China, China dramatically ramped up its semiconductor research and investment to move toward self-sufficiency. These efforts are starting to bear fruit, and China’s willingness to cut off Nvidia is a strong sign of its faith in its domestic capabilities. — Read More
Flooding the AI Frontier
Why is China giving away AI?
Chinese models are DOMINATING the open-weight LLM space.
Open-weight models are freely available to download, run, and fine-tune, often released with highly permissive licenses. Some open-weight models are also open-source, meaning the code and training data to reproduce those models are openly available as well.
These models are incredible, and compete with or even outperform leading proprietary US models on common benchmarks while costing a small fraction of the price.
One might be surprised to learn that not only are Chinese tech companies making AI models freely available, but the Chinese government has also promoted open models as part of its AI strategy. In July, China released its Global AI Governance Action Plan, heavy on “international public good,” “collaboration,” and “openness,” which sounds lovely until you remember that China maintains one of the most restrictive and censorious regions of the internet.
So what gives? Why is the Chinese government suddenly a champion of openness in AI? — Read More
DeepSeek V3.1 just dropped — and it might be the most powerful open AI yet
Chinese artificial intelligence startup DeepSeek made waves across the global AI community Tuesday with the quiet release of its most ambitious model yet — a 685-billion parameter system that challenges the dominance of American AI giants while reshaping the competitive landscape through open-source accessibility.
The Hangzhou-based company, backed by High-Flyer Capital Management, uploaded DeepSeek V3.1 to Hugging Face without fanfare, a characteristically understated approach that belies the model’s potential impact. Within hours, early performance tests revealed benchmark scores that rival proprietary systems from OpenAI and Anthropic, while the model’s open-source license ensures global access unconstrained by geopolitical tensions.
The release of DeepSeek V3.1 represents more than just another incremental improvement in AI capabilities. It signals a fundamental shift in how the world’s most advanced artificial intelligence systems might be developed, distributed, and controlled — with potentially profound implications for the ongoing technological competition between the United States and China. — Read More
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