Jiuzhang Yunji (JZYJ) announced its 'AI Factory' strategy, pivoting the company to an infrastructure platform that measures compute input in DCUs and output in standardized professional Tokens. The AI Factory consists of a training factory for refining generic intelligence into task-specific professional models, and a token factory for encapsulating those models into scalable, measurable delivery units. The company targets a 100,000 P intelligent computing cluster, daily throughput of 10 trillion tokens, and a thousand-fold comprehensive cost reduction through full-stack in-house technology. Three technical paradigm shifts underpin the factory: a compute-storage-transmission integrated architecture with tenfold TPS improvement, a persistent kernel execution mechanism to eliminate idle cycles, and energy-defined computing for per-token energy accountability. JZYJ simultaneously launched an open plan to build a neutral, inclusive computing ecosystem with chip, model, and energy partners, and was recognized in an Analysys report as a leader in China's third-party neutral intelligent computing cloud market.
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Alibaba released HappyOyster 1.0, a world model that learns state transition dynamics from natural videos to generate interactive digital worlds from text or image prompts, ensuring long-range consistency. It features World Exploration mode with physical controls like attack, jump, and vehicle driving, and Real-time Director mode offering pause, backtrack, and branching narrative. The model targets gaming, virtual companionship, interactive short dramas, and tourism. Alibaba is collaborating with Nanjing University to create the first benchmark for world model evaluation. The product is available for registration on its official website, with full API access planned for the near future.
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MoleculeMind, an AI protein design platform, has completed a Series A funding round totaling over $100M from investors including Bluebridge Capital, Pudong Venture Capital, COFCO Emerging Industry Fund, and others, with existing investors like Cathay Biotech also participating. The company unveiled MMDesign, an AI-driven de novo antibody design platform that achieved over 90% target hit rate on 12 real clinical targets and delivered picomolar-level affinity against the challenging TNFα target after testing only 14–50 AI-designed candidates. Its proprietary MMFold structure prediction engine outperforms Google AlphaFold 3 and all open-source models on the FoldBench antibody-antigen interface benchmark. MoleculeMind has built MoleculeOS, an AI-native protein engineering infrastructure based on its NewOrigin multimodal foundational model, which has been validated in industrial collaborations across drug discovery, green biomanufacturing, and novel materials. The company has established multi-layer commercial partnerships with top global pharma, synthetic biology firms, and chemical groups, demonstrating strong product-market fit and creating a closed-loop data flywheel from wet-lab-verified projects.