Runway 开源机器人模型 Praxis-1,速度比 GPT-6 Astra 机械臂快 15.6 倍
Runway 于 11 月 11 日推出机器人模型 Praxis-1,将视频预训练知识用于真实机器人控制,模型以 Apache 2.0 许可证开放权重,权重和代码分别在 Hugging Face 和 GitHub 公开。
Runway 于 11 月 11 日推出机器人模型 Praxis-1,将视频预训练知识用于真实机器人控制,模型以 Apache 2.0 许可证开放权重,权重和代码分别在 Hugging Face 和 GitHub 公开。
字节火山引擎发布 Seedance 2.5 flash 视频模型,生成速度提升一倍,720P 文生视频、图生视频价格约 0.99 元/秒,较 Seedance 2.5 降低约 34%。
火山引擎正式推出 Seedance 2.5 flash,生成速度较 Seedance 2.5 提升一倍,720P 下文生视频、图生视频价格约 0.99元/秒,降低约34%。
Latent Space 发布 AI 要闻汇总,核心是 Google 抢先 Anthropic 推出生产级校准多模态决策模型 Gemini Decision 1,单次前向完成封闭集决策,支持每请求最多 1000 个问题、256K 上下文,输入 $0.10/1M tokens 且输出免费,端到端延迟约 150–250ms。
Google DeepMind 于 11 月 11 日发布新一代基因组 AI 模型 AlphaGenome 2,可将组织、细胞类型或状态作为输入,预测 DNA 序列及变异对特定细胞的影响。
Google DeepMind 发布 DNA 模型 AlphaGenome 2,可输入 1 Mb DNA 加目标细胞状态,按细胞类型预测变异效应,通过 AlphaGenome API 向非商业研究开放。
Native 4K images in about 10 seconds ⚡ MiniMax H3 Image, the new open-weight model by @MiniMax_AI, is now on each::labs. It generates at up to 16MP in any aspect ratio, takes up to 16 reference images and edits with precision, from adding or swapping objects to rendering text, infographics and UI layouts. Try it now on each::labs⤵
Gemini Decision 1 from @GoogleAIStudio is live on OpenRouter! Google's first decision model. Hand it text, images, audio, video, or a PDF plus typed questions, and it answers yes/no, picks from up to 255 options, or scores, each with a probability. 262K context.
Your heart, brain, and immune system share the same DNA sequence. So how can a single-letter change affect disease in some cells, while sparing the rest? AlphaGenome 2 is our new AI model that zooms in on specific cells to help scientists understand what drives disease. 🧵
ERNIE 5.5 Flash Preview 已就绪。尽管拿最难的任务来考验它。👀
ERNIE 5.5 Flash Preview by @Baidu_Inc is now in the Arena. Head over to test it in Battle Mode with your toughest coding, web development, and real-world tasks to see how it does. Scores for Code Arena coming soon.
Runway 宣布世界动作模型 Praxis-1 以 Apache 2.0 开放权重面向所有人开放。该模型为 27B 参数 MoE 扩散 Transformer,同时预测视频与动作,在 NVIDIA RoboLab-120 榜单以 46.2% 成功率居首,超过 FLUX 3 Action(42.9%)、Cosmos3 Nano(36.8%)和 π0.5(28.0%)。
推荐理由:原文给出 RoboLab-120 榜单具体成绩、开源范围和适配方式,读者可以据此评估它在自有硬件上的部署可行性。

Introducing GR00T 2: our most advanced, open System One model for robotics. It runs entirely on your robot’s onboard compute, fully untethered, and you own every weight of it. GR00T 2 features: 1. Long-horizon tasks: dexterous manipulation and whole-body control chained over 20+ steps and 5+ minutes, such as performing chemistry lab experiments or assembling model airplanes end to end. 2. X-Adapt: adapting from easy data sources (human wearables and simulation) and deploying zero-shot to diverse real robots. 3. Unified Cognition: native integrations with frontier agents for advanced physical reasoning, robust error recovery, and safety monitoring. It's an open-source buffet! We are releasing not only the model weights and X-Adapt recipes (coming December), but also our agentic framework, simulation engine, annotation engine, hardware design, and even training data (100K hours, that's ~11 yrs of experience), all available today! Everything that moves will be autonomous. Anyone can become a roboticist. Lock in, build with us! Deep dive in thread:
谷歌 DeepMind 发布新一代 DNA 序列模型 AlphaGenome 2,可将预测从宽泛组织缩小到单个细胞类型与状态,识别可改变基因表达的变异数量较初代接近翻倍。
Google DeepMind 发布下一代 DNA 序列模型 AlphaGenome 2,可预测 DNA 变异如何影响数百种人类细胞类型中的基因表达。模型改为条件式架构,训练数据超过 1.07 亿个单细胞样本、覆盖 68 种组织,在 TenK10K 数据集上识别的因果变异数量接近上一代的两倍(30% vs 16%),并能在不重新训练的情况下泛化到新的单细胞实验。
Google DeepMind 发布基因组预测模型 AlphaGenome 2,用于捕捉基因变异在不同细胞类型和状态下的差异效应。该模型基于超过 1 亿个细胞档案和 68 种组织训练,识别可改变基因表达的变异数量接近前代最优模型的两倍,还能对未见过的细胞类型做出预测并指出实验数据缺口。


ERNIE 5.5 Flash Preview just landed! 🔥 Built on a new architecture designed for efficient inference, the latest open-weight foundation model in the ERNIE family delivers stronger performance in coding, 3D modeling, knowledge work and content creation. It keeps decoding fast while posting competitive scores on Terminal-Bench, AutomationBench, and other benchmarks. Here's the rundown: - 280B total parameters, 14B active per token - 1M-token context window - Generation speed above 200 tokens/sec Model weights will be released by November 25.
作者实测深度原理的科研模型 Hydrogen-1.0,该模型以 GLM5.3 为底座,用化学、材料、生命科学知识和科学发现轨迹做 SFT 与 RL 再训练。在 FrontierScience Research 上解题率 38.3%,高于 GPT-6Astra 最高档的 33.3% 且成本更低。
小红书升级发布端到端精确语音编辑模型 dots.tts.edit V1.1,支持选中文句后进行文本替换、情绪、语速和停顿等多处局部编辑,中英双语和多说话人语音均可一次生成完成。
蚂蚁 inclusionAI 发布 ZoomGain-4B 与 ZoomGain-9B 模型检查点,并同步开源 ZoomGainBench 评测基准和 RL 训练数据。
蚂蚁 inclusionAI 发布 ZoomGain-4B/9B 模型检查点、ZoomGainBench 评测基准和 RL 训练数据。ZoomGain 利用“全局看图、放大才看清”的感知差构造视觉监督,28 个模型中最佳者在 ZoomGainBench 得分 61.08,ZoomGain-9B 在多项细粒度与通用感知基准上表现更优。
inclusionAI 在 HuggingFace 发布 ZoomGain-4B 的 GGUF 格式权重,经 llama.cpp 转换,语言模型与视觉编码器、投影器(mmproj)均提供 FP16、Q8_0、Q4_K_M 三种精度。
MBZUAI 基础模型研究所(IFM)于 2026 年 11 月 10 日在 X 宣布发布开源世界模型 PAN 2,权重、训练代码和推理代码均以 Apache 2.0 开源。
Qwen4 is coming. Deeper knowledge. Richer world understanding. Stronger coding and agentic capabilities. Built for real-world tasks — from complex coding and knowledge work to front-end builds and professional software workflows. Qwen4-Max is now in preview on Alibaba’s Token Plan. You can also get early access to the new model on QwenWork, Qoder, Qwen APP, and QwenStudio. Put it to the test on a real problem. Show us what you build. 👀 Token Plan: qwencloud.com/pricing/token-p…
蚂蚁 inclusionAI 在 HuggingFace 发布基于 Qwen3.5 的 4B 多模态决策模型 SingVL_S1_4B,支持对文本或 JSON 及最多四张图片按 choice、noul、score 三类问题单次前向打分。
百度文心发布 ERNIE 5.5 Flash Preview,这是此前 ERNIE 5.5 Flash Base 模型的首个后训练版本。模型总参数 280B、激活参数 14B,支持 1M 上下文,官方称在编程、3D 建模、知识工作、内容创作等方面表现有竞争力并保持较快解码速度。API 已在千帆平台上线,权重将于 11 月 25 日前开源;官方表示这是后训练中间版本,后续正式版本将继续优化。
Tether AI Research 在 Hugging Face 博客介绍 BotPsy,一个基于 Qwen3.5-0.8B 的 0.8B 参数函数调用与智能体模型,面向端侧部署。
百度发布 ERNIE 5.5 Flash Preview,是基于此前 Base 模型的首个后训练版本,总参数 280B、激活参数 14B,支持 1M 上下文。模型 API 已在千帆平台上线,权重将于 11 月 25 日前开源;官方展示了游戏开发、3D 建模、知识工作、视频创作等 Agent 场景成果,并称该版本为后训练中间版本,正式版仍将持续优化。
推荐理由:官方给出总参 280B、激活 14B、1M 上下文等规格和基准对比,可据此评估该模型在编码与 Agent 任务上的定位。
@MiniMax_AI H3 Image & H3 Image Highspeed are live on Runware on D0 MiniMax built its new image model on H3, its popular open-weight video model, calling it the strongest open-weight image model released so far. - Edit with up to 16 reference images - Output up to 20 MP, with 1K, 2K and 4K presets or exact width and height - Aspect ratios from 1:3 to 3:1 - H3 Image Highspeed runs at 2x the speed, for quick edits and fast iterations Image output from $3.80 per million tokens, with 50% off 4K outputs on both models through November 17
阿里巴巴官宣新一代千问大模型 Qwen4 即将发布,称知识理解更深入、世界感知更立体,Coding 与 Agentic 能力持续进阶。Qwen4-Max 预览版已首发上线阿里 Token Plan,限时最低 1 折可体验;千问办公、Qoder、千问 App、QwenStudio 等已接入新模型。
谷歌于当地时间 11 月 10 日宣布正式开放 Gemini 4 Carbon 模型,面向开发者、企业、科研人员和消费者提供服务,定位为谷歌目前能力最强的推理模型。
同一件事,精选收录的是《Google DeepMind 发布 Gemini 4 Carbon 前沿模型》
Introducing PAN 2: an open foundation world model for physical intelligence. A language model predicts the next word. PAN 2 predicts the next world: what happens after each action, grounded in time, physics and space. Towards AI that simulates “what if?” before it acts. More details: ifm.ai/pan/
4K image generation in 10 seconds! ⚡ Meet MiniMax H3-Image. 16 million pixel resolution. Stunning realism. Precise prompt following & editing. Up to 16 reference images. All in 10 seconds. And it's open-weight. 🚀 Available now via our API, MiniMax Code, and Hailuo AI — with 50% off 16MP+ generations during launch week! Can't wait to see what you create. 🔥 Hugging Face: huggingface.co/MiniMaxAI/Mini… API: platform.minimax.io/docs/guid… MiniMax Code: code.minimax.io/about
Google 正式发布 Gemini 4 Carbon,定位为补充而非替代 Gemini 4 Argon,面向复杂多步编码、调试和开放性科研等高智能任务,两者 token 单价相同但 Carbon 推理消耗更多 token,实际总成本可能更高。
同一件事,精选收录的是《Google DeepMind 发布 Gemini 4 Carbon 前沿模型》