#China

AIHiDream.ai launched vivago R1, a content creation agent, globally, with a domestic version upgrade. The company says R1 can output five-minute high-quality videos through agent planning, with a claimed 85% usable-output rate and support for multi-round extensions. It also released HiDream-O1-Video-1.0, a native omni-modal video model supporting single shots of 5 to 20 seconds at 1080p.

AIRadixArk's SGLang-Diffusion, paired with VDN-H3, generates 14.4 seconds of 768p video in 9.0 seconds on 8× B200 GPUs. The 8-step denoising alone takes 6.9 seconds, which is over 2× real time, and the team reports no measured quality regression against dense 50-step MiniMax H3 across 103 test prompts.

AIShanghai AI Lab's InternLM team released Intern-S2-397B, a multimodal foundation model for scientific intelligence and long-horizon agents. The model uses visual pre-training on raw scientific literature pages, multi-task reinforcement learning across more than 20 scientific domains, and agentic reinforcement learning in sandboxed environments.

AINathan Lambert has compiled a reading list of open-model writing covering why labs release open weights, the open-versus-closed debate, and US-China competition, last updated 15 September 2026. The list includes pieces on open-model economics, safety and marginal-risk research, and recent Chinese releases such as Kimi K3 and GLM-5.2. It also cites lawmaker inquiries into Western companies' use of Chinese models.

AIDeepSeek says it will work with the open-source community on inference support for DeepSeek-V4.1-Flash and explore more deployment options. The company is inviting organizations planning large-scale deployments with 2,000 GPUs and a storage cluster to get in touch. The model and a technical report are published on Hugging Face.

AIAt Arm Everywhere China on September 8, 2026, Arm launched products spanning data center CPUs, mobile compute subsystems, and robotics platforms. The article says CSS for Mobile 2 integrates CPU, GPU, and neural accelerator for agent AI on phones, and Arm's Neoverse CSS N4 and AGI CPU target agent sandboxes in data centers. It also reports that Arm's Total Design ecosystem now covers over 80 partners for physical AI.

AIBAAI and Peking University researchers released official weights for ConsiSpace, a geometry-consistent multimodal framework for spatial reasoning in long-form visual observations. The model is described in the paper "ConsiSpace: Learning Geometric Consistency Matters for Video Spatial Reasoning" (arXiv:2607.17599).

AIZhipu (Z.ai) reported first-half 2026 revenue of US$142 million, up nearly 400% year on year, driven mainly by its open platform and API business. As of end-August 2026, ARR reached US$1.6 billion, and gross margin for the platform and API business rose from negative 0.4% to 24.6%. The company also said its platform had over 7.4 million registered users and that GLM-5.3's gains came partly from a several-dozen-fold expansion in data environments.

AIBaidu and IFAW have launched AI Guardian, a platform powered by ERNIE models that builds on a collaboration since 2020 that has helped remove more than 18,000 listings linked to the illegal wildlife trade. The platform aims to make this wildlife protection technology more accessible, and users can sign in through ai4wcp.com to help protect wildlife.

AIBAAI and Hao Tang's team at Peking University's School of Computer Science released GaussianMind, an audio-language model built on RoboBrain and OpenMOSS Audio. The model is available on Hugging Face and loads through custom Transformers code with trust_remote_code=True.

AIBaidu's latest AI Pulse highlights how its product portfolio, including DuMate, GenFlow, MeDo, and ERNIE Assistant, is built to take AI work from request to finished result. The post also notes that Baidu has become a dual-primary listed company and that its Apollo Go robotaxi service has expanded in Dubai and Hong Kong.

AIHelical Fusion CTO Wei Xishuo told the NFEC2026 AI-for-fusion forum that the company uses an autoencoder to compress hundreds of stellarator shape parameters into three. The company says this lets it predict zonal flow residuals and turbulent transport from more than 15,000 global simulations and generate new configurations with up to 100x better confinement in simulation.

AITinker announces that Z.ai's GLM-5.3 is now available on its platform with a 256k context window. Tinker says it is currently the strongest open-weights model on coding evals including Terminal-Bench 3.0 and DeepSWE 1.1, built on the same base as GLM-5.2 with scaled-up post-training.

AISGLang offers day-0 support for GLM-5.3 on NVIDIA Blackwell and Hopper and AMD MI300X, MI325X, and MI355X GPUs, using the same runtime and flags. SGLang is also the rollout engine in Slime, the framework Zhipu used to post-train GLM-5.3, so the runtime that generated the RL trajectories now serves the model.

AIDeepSeek V4 Pro 0813 recorded zero refusals across 840 adversarial security tasks in CyberGym testing, solving them at about half the cost per success of the top-scoring model tested, Kimi K3. In the 697-task common cohort, V4 Pro reached a 53.7% reward rate at $2.50 per solved task, versus 47.6% and $9.64 for GPT-5.5 and 5.9% and $33.28 for Claude Opus 4.8.

AIZ.ai released GLM-5.3-Flash on Hugging Face, the first natively multimodal model in the GLM-5 series, with 320B total parameters and 18B active parameters. The source says it outperforms GLM-5.2 across benchmarks at one-tenth the price and approaches Claude Opus 4.8 on coding and agentic benchmarks. It adopts a hybrid sparse and linear attention architecture to reduce long-context serving costs.

Why it matters: The release shows a hybrid sparse and linear attention design aimed at cutting long-context serving costs, which is useful for comparing efficiency trade-offs.

AIZ.ai released GLM-5.3 on Hugging Face, built on the same base model as GLM-5.2, with all gains coming from post-training. The source reports a 50% improvement over GLM-5.2 on Z.ai Code Bench and open-source SOTA on Terminal Bench 3.0 and Agents' Last Exam, with a benchmark table comparing it against Kimi K3, DeepSeek-V4 Pro-0813, Qwen3.8-Max, and others.

Why it matters: The source gives benchmark tables against GLM-5.2 and rival models, showing where the post-training gains concentrate in coding and cyber tasks.

AIThomas Dohmke argues Europe must commit to global, model-agnostic open-source collaboration to catch up in the AI era. He says that approach would let a breakthrough in Beirut benefit Berlin, linking to a Vox piece on Chinese open-weight AI models such as Kimi and DeepSeek.

AIThe 2026 Global Developers Pioneer Conference (GDPS) and International Embodied Intelligence Skills Competition has opened global calls for scenario challenges, teams, and experts ahead of its October 23–25 event at Shanghai Zhangjiang Science Hall.

AIMoonshot AI's Kimi, in collaboration with kvcache-ai, has open-sourced AgentENV, a distributed system for running agent environments at scale. Its components power agentic RL training for Kimi K3, supporting fast snapshot, resume, and fork for large-scale parallel agent workflows. The project is available on GitHub at

AIThe essay argues that Western companies increasingly rely on Chinese open-weight models like Qwen and Kimi for post-training, while Western labs cannot lawfully distill from American frontier models. It says Qwen's share of new open-model fine-tunes rose from 1% in January 2024 to 69% by February 2026, citing ATOM's Report. The authors propose controlled teacher access and tighter enforcement against foreign distillation as a domestic alternative.

AIBAAI has released AREX-Base, a 122B-total, 10B-activated Mixture-of-Experts deep research agent built on Qwen3.5-122B-A10B with a 262,144-token context. The model uses an inner research loop and an outer self-improvement loop, and the source reports it scoring 82.5 on BrowseComp and 85.4 on GAIA, under Apache 2.0.

Why it matters: The release pairs a 122B-parameter deep research agent with benchmark tables against frontier and open models, letting readers compare its search-agent results directly.

AIBAAI's AREX-Turbo is a dense 4B deep research agent built on Qwen3.5-4B with a 262,144-token context length. It scores 70.7 on BrowseComp, 81.6 on GAIA and 40.6 on HLE with tools, versus 82.5, 85.4 and 52.4 for the 122B AREX-Base. The model is released under Apache License 2.0 and targets lower-cost research-agent deployment.

AIKimi has temporarily paused new subscriptions after Kimi K3 demand pushed its GPU capacity close to limits over the past 48 hours. Existing subscribers are unaffected, and compute is being prioritized for current members while new subscription spots reopen in batches. The company also plans to split membership into Kimi Membership for Kimi Web, App, and Work, and Kimi Code Membership for coding workflows.

AIMoonshot AI announced Kimi K3, a native multimodal model with 2.8 trillion parameters and a 1 million token context window. The announcement cites up to 6.3x faster decoding in million-token contexts and about 25% higher training efficiency, and says open weights arrive by July 27, 2026. The author, Soumith Chintala, reposted it with a brief note of congratulations.

AIThe post argues that China's commercial-scale EUV machines should be forecast for the late 2030s and immersion DUV for the mid-2030s, using ASML's development timeline as a reference. It also weighs factors that could push these estimates earlier or later, including state funding, espionage, talent flows, and the use of AI in R&D. The authors note that forecasts placing either milestone in the 2020s would need strong justification.

AIZ.ai's release notes list GLM-5.2 as supporting 1M lossless context, with improved long-horizon task performance and reduced context drift and goal forgetting. The company says GLM-5.2 achieves open-source SOTA performance on coding and long-horizon task benchmarks. The page also includes the newer GLM-5.3 and GLM-5.3-Flash entries, which are listed above GLM-5.2.

Why it matters: The page lists a dated series of Z.ai model releases, showing how the coding and long-horizon agent line has evolved from GLM-4.5 through GLM-5.2.

AIYann LeCun points to Project Tapestry, hosted by thealliance.ai, as the answer to fears that no credible Western open frontier model will emerge. The post is a short pointer to the project, with no details on models, benchmarks, or availability.

AIBaidu's PaddlePaddle account announced ERNIE 5.1, which it says cuts total parameters to about one-third and activated parameters to about one-half, using roughly 6% of the pretraining cost of models at similar scale. The post reports benchmark results including 99.6 on AIME26 with tools, surpassing DeepSeek-V4-Pro on τ3-bench and SpreadsheetBench-Verified, and ranking #4 globally on Arena Search. ERNIE 5.1 is available through the ERNIE website and Baidu AI Studio Model Playground.