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China AI

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Sep 29

Sep 29Tue

Sep 28

Sep 28Mon

Sep 27

Sep 27Sun
  1. Xiaomi MiMoOfficialAI score62

    Xiaomi MiMo Explains Fixing Tool-Call Repetition in MiMo-V2.6 Models

    AIXiaomi MiMo reports that tool-call repetition in MiMo-V2.6 reached over 0.05% of responses across agent harnesses, causing stalled agents and wasted context.

    Why it matters: The post traces an agent failure to a reward blind spot and compares the costs of two fixes, offering a transferable debugging method for RL-trained tool-calling models.

Sep 26

Sep 26Sat
  1. OpenCodeOfficialAI score34

    LongCat-2.5-Preview Free on OpenCode for Two Weeks

    AILongCat-2.5-Preview is free on OpenCode for two weeks, offering a 1M context window, multimodal support, and zero data retention. The post does not provide further details on pricing terms or capabilities beyond these listed features.

Sep 25

Sep 25Fri
  1. SemiAnalysisBlogAI score59

    China Holds Over 24GW of Datacenter Capacity, Shifting Inland With AI Demand

    AISemiAnalysis's China Datacenter Model tracks over 1,000 facilities across 60+ operators and puts China's fleet above 24GW, larger than EMEA. The report attributes the buildout to the Eastern Data, Western Compute policy and hyperscale AI demand, which is moving capacity to western hubs such as Inner Mongolia at construction speeds it says the West cannot match.

  2. OpenCodeOfficialAI score22

    OpenCode makes $60 of DeepSeek v4.1 Flash usage permanent

    AIOpenCode says its $60 of usage for DeepSeek v4.1 Flash is now permanent, as part of its "Operation Cheepseek Phase 2" promotion. The post gives no further details on terms, duration, or eligibility.

  3. Meituan LongCatOfficialAI score62
    Image from @Meituan_LongCat's post

    Meituan LongCat-2.5-Preview Launches with 1.6T Parameters and 1M-Token Context

    AIMeituan's LongCat team has released LongCat-2.5-Preview, a natively multimodal model with 1.6T total parameters, about 48B active, and a 1M-token context window.

    Why it matters: The announcement lists concrete scale, context, and multimodal specs, plus a named range of agent tasks, which helps readers gauge the preview's scope against other long-context models.

Sep 24

Sep 24Thu
  1. vLLMOfficialAI score42

    TileRT and vLLM hit 469 tok/s on GLM-5.3 with MI355X

    AIThe TileRT and AMD teams reached 469 tok/s single-user decode for GLM-5.3 on 8× MI355X using vLLM. The setup disaggregates work, with vLLM handling prefill and TileRT handling latency-critical decode through vLLM's V1 connector interface.

  2. inclusionAI (Ant Ling) · new models on Hugging FaceOfficialAI score22

    inclusionAI Publishes Training-Content Summaries for Ling and Ring Models

    AIinclusionAI has published public training-content summaries on Hugging Face for its Ling and Ring model versions, including Ling-2.0, Ling-2.5, Ling-2.6-1T, Ling-3.0, Ring-2.0, Ring-2.5-1T, and Ring-2.6-1T. The documents, organized under the template associated with Article 53(1)(d) of Regulation (EU) 2024/1689, contain documentation only, not model weights or training datasets.

Sep 23

Sep 23Wed
  1. QwenOfficialAI score60
    Image from @Alibaba_Qwen's post

    Qwen Intelligence launches three mobile agents and opens its benchmark suite

    AIAlibaba's Qwen launched Qwen Intelligence with three mobile agents: a Mobile Planner Agent, a Mobile-Use Agent, and a Mobile Creative Agent.

    Why it matters: The post names three mobile agents and their benchmark results, while also releasing the benchmark suite, so readers can check the claims against the reported figures.

  2. QwenOfficialAI score62
    Image from @Alibaba_Qwen's post

    Qwen-Audio-3.1 upgrades ASR, TTS and Realtime and adds two new models

    AIAlibaba's Qwen team released Qwen-Audio-3.1, upgrading its ASR, TTS and Realtime models and adding TTS-Next and ASR-Next. The post says TTS prices fell about 70%, Realtime about 85%, and ASR up to 95%. More APIs are coming soon.

    Why it matters: The post lists the new audio models and price changes together, which helps developers compare the upgraded lineup with their current speech workflows.