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论文提出 ProACT，一个性能驱动的自适应 VR 消防训练系统，通过闭环调节火灾蔓延动力学与物体可燃性来动态调整训练难度，实验表明其在客观训练效果和主观体验上均优于基线方法。
Qwen4 has been released, with hints of a 120B parameter model surfacing via a GitHub PR in the qwen-code repository.
Mistral has released the weights for its trillion-parameter open-source model Mistral Large 4 ('Le Chonk'), enabling businesses and governments to self-deploy the system, with a strong focus on sovereign cyber defense capabilities and claims of state-of-the-art open-model performance in agentic coding and cyber work.
Qwen4 models are rumored to feature a 1 million token context window, with Qwen4-max reportedly launching around October 1st and a possible Qwen4-27B announcement at Apsara Netherlands.
Google DeepMind teases or announces 'Gemini 4 Carbon', the next generation of its Gemini model family.
inclusionAI 发布 Ling-3.1-flash-1019，Ling-3.1-flash 的升级版本，拥有 560B 总参数/25B 激活参数和 1M token 上下文窗口，通过后训练优化在推理与 agentic 能力上显著提升（AA-Briefcase Elo 从约 1400 升至 1524，Artificial Analysis Intelligence Index 达 44）。
Ant Ling announced a 1019 update for its Ling-3.1-flash model, boosting its Artificial Analysis Intelligence Index score from 41 to 44 and improving agent benchmark results, with API access and open weights promised but no release date given.
Inception Labs 发布 Mercury 3，这是迄今最强的扩散式 LLM，在多项基准上超越 GPT-6 Luna 和 Claude Haiku 5.5，同时以 1000+ tokens/秒的速度快 4-8 倍。模型规模比 Mercury 1 大 40 倍以上，支持 100 万 token 上下文，并以极具竞争力的价格面向生产环境开放。
MiniMax 发布 428B 参数 MoE 模型 M3.1 Flash，输入价格低至 $0.15/百万 tokens，并确认匿名模型 Space Bunny 为其早期版本，开放权重将于 10 月 23 日发布。
Minimax M3.1 Flash 的参数规模被披露为 428B 总参数、23B 激活参数，官方在 FAQ 中低调确认，普通消费级双卡 RTX 3090 无法运行。
团队发布了 MemT 2.0——一个 293B 的记忆原生 MoE 模型，将历史信息压缩为持久内部记忆状态，在前向传播中通过 memory attention 完成读写更新，无需梯度或重新训练，36B 与 293B 版本已上线 Hugging Face。
中国研究团队借助上海AI实验室自研的Intern-S2科学大模型，完整证明了困扰国际数学界30余年的三维Ghys猜想，随后由北京大学团队完成形式化机器验证，验证代码已全部开源。
A user loaded the 560B-parameter Ling 3.1 Flash (25B active) MoE model across four DGX Sparks using llama.cpp RPC with Atomic Chat's Q4 GGUF build, since no official FP4 vLLM build was available. Performance comparisons against Ling 3.0 Flash 124B are still pending.
Discusses how visual thinking and reasoning has become a hot direction, and argues that Glance/Glimpse, released by Elorian — a company founded by former Google DeepMind researchers — shows the potential to replace traditional CV, working alongside on-device small models and cloud-based LLMs to accomplish visual understanding and reasoning.
Reflection 开源发布 Beam 1.0，一个 501B 参数（23B 激活）的 MoE 大模型，支持 1M token 上下文、Apache 2.0 许可，并附带 Rust harness、vLLM/SGLang/transformers 第一天支持以及 SFT 和 RL 训练配方。
Garry Tan shares Alexandr Wang's announcement that Muse Spark Open is the most capable US open-weight model to date, featuring 816B total parameters, 42B active, 1M-token context, and native multimodality built for coding and agentic tasks.
Meta 发布了开源权重的 Muse Spark Open 模型，这是一个 816B 总参数 / 42B 激活参数的混合专家（MoE）模型，拥有 1M token 上下文窗口，原生支持多模态输入，面向编码与智能体任务，并由 Unsloth 提供运行支持。
Meta发布Muse Spark Open，一个约816B总参数、42B激活参数的开源多模态MoE模型，支持文本、图像、音频和视频输入，专为智能体式编程优化，上下文窗口达100万token。
Meta confirmed that Muse Spark will be released as open weights in the future, alongside the launch of its new Muse Wonder model.
Google Devs shared early reactions from partners who had early access to the Gemini 4 Argon model, highlighting how it was integrated into various developer tools.