Tencent is testing a prototype AI agentAI agentAn AI system that carries out multi-step tasks on its own, such as browsing, writing code or making purchases, rather than answering a single prompt. Agents raise new questions about liability, security and oversight because they act rather than just advise. embedded inside WeChat and plans to begin the regulatory approval process required for a public rollout as early as this month, TechNode reported, citing people familiar with the matter. The agent is designed to complete tasks across WeChat's mini-program ecosystem on a user's behalf, accessed by swiping right from the chat home screen. A full launch is targeted for Q3 2026, contingent on clearance from the Cyberspace Administration of China under Beijing's generative AI services rules. WeChat has roughly 1.4 billion users.
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Yangtze Memory Technologies' share of global NAND flash revenue rose to 13% in the first quarter of 2026, up from 8% a year earlier and now level with U.S. memory makers Micron and SanDisk, Caixin reported, citing research firm Counterpoint. The global NAND market hit a record $46 billion in the quarter, more than triple the year-earlier figure, driven by AI infrastructure rollouts and enterprise solid-state drive demand. A successful initial public offering and capacity expansion could make the Entity List company the world's third-largest flash maker.
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Shanghai-based MiniMax launched M3 on June 1, a large language model with a million-token context window and frontier coding scores. A QbitAI hands-on test put its benchmark performance ahead of OpenAI's GPT-5.5 and Google's Gemini 3.1 Pro and approaching Anthropic's Claude Opus 4.7 at roughly one-tenth of leading proprietary pricing. MiniMax plans to release the model to Hugging Face within roughly 10 days of launch and supports private cluster deployment, though it has stopped short of a full open-source license. The launch adds to a wave of Chinese open-weightOpen-weight modelAn AI model whose trained parameters are published so anyone can download, run and modify it, as opposed to one reachable only through the developer's API. The main policy tension is that open weights spread capability widely and cannot be recalled once released. releases that have closed the capability gap with frontier U.S. systems.
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