跳到正文
8月6日周四
  1. The Decoder:AI News66

    Meta 发布 Muse Spark 1.2 与首个编程智能体 Muse Code,以数据换低价

    Meta 发布 Muse Spark 1.2 模型及首个专用编程智能体 Muse Code,最低档输出 token 仅 20 美分/百万,但需共享数据用于模型改进。模型在代码生成、调试和大代码库推理上较 1.1 提升,但基准测试未完全追平 Grok 4.5、Claude Opus 5 等顶尖模型。Muse Code 支持 /plan、/grill 等模式,并具备崩溃后精确恢复的快速续跑功能。

  2. Rohan Paul44

    Kimi K3 以 57 分继续领跑开源权重模型,仅领先 Qwen3.8 Max 一分,后者计划下周开源权重。Qwen3.8 Max 在 GDPval-AA 上以 1739 Elo 反超 Kimi K3(1685),且激活参数更小(95B vs 2.8T 总参数)。两者能力可视为持平,但 Kimi K3 单任务成本 $0.86,比 Qwen3.8 Max 的 $1.14 低 25%。

    引用Artificial Analysis@ArtificialAnlys

    Alibaba's Qwen3.8 Max scores 56 on the Artificial Analysis Intelligence Index at $1.14 per task, but open weights leader Kimi K3 remains 1 point ahead at 25% lower cost per task ($0.86) @Alibaba_Qwen has released Qwen3.8 Max, which Alibaba states is a 2.4T total parameter MoE activating 95B parameters per forward pass. Alibaba has announced it plans to release the weights next week, a shift in strategy as it has typically kept its Max class of models proprietary. Once released, Qwen3.8 Max would be ~6x larger than Alibaba's largest open weights release to date (Qwen3.5 397B) and the second largest open weights model behind Kimi K3 (2.8T) Note: we earlier published results showing Qwen3.8 Max scoring 53 on the Artificial Analysis Intelligence Index. Those runs were affected by intermittent issues on the endpoint we were evaluating, and we have re-run all evaluations on Alibaba's public API endpoint Key takeaways: ➤ Qwen3.8 Max scores 56 on the Artificial Analysis Intelligence Index, up 10 points from Qwen3.7 Max (46). It is in line with Claude Opus 4.8 (max, 56) and sits second among labs from China, ahead of GLM-5.2 (max, 51) but behind Kimi K3 (max, 57) ➤ Qwen3.8 Max scores 1739 Elo on GDPval-AA, a 468 Elo gain over Qwen3.7 Max. This places it ahead of Kimi K3 (1685), effectively tied with Claude Fable 5 (1743) and GPT-5.6 Sol (max, 1730), and behind only Claude Opus 5 (max, 1852) ➤ Gains over Qwen3.7 Max span agentic evaluations, scientific reasoning and coding: Terminal-Bench v2.1 +6 points, CritPt +7 points, SciCode +4 points and HLE +3 points, with GPQA unchanged. AA-LCR (-2 points) and AA-Omniscience (-10 points, driven by a hallucination rate rising 23% to 40%) regress ➤ Qwen3.8 Max costs $1.14 per Intelligence Index task, more than double Qwen3.7 Max ($0.53), at ~1.3x Kimi K3 (max, $0.86) and ~2x GLM-5.2 (max, $0.57). Cost is driven in part by more turns on agentic evaluations, with GDPval-AA input tokens rising ~15x over Qwen3.7 Max, and output token usage up 45% to 145M ➤ The 𝜏³-Bench Banking result (42%) appears out of distribution. It is a 32 point gain over Qwen3.7 Max and places Qwen3.8 Max ahead of models that outscore it on other evaluations Key model details: ➤ Size: 2.4T total parameters, ~95B active per forward pass (MoE) ➤ Context window: 1M tokens ➤ Multimodal: text, image and video input with text output ➤ Pricing: $2.00/$6.00 per 1M input/output tokens on the @alibaba_cloud first-party API, with a $0.25 cache hit price. This is lower than Qwen3.7 Max across the board ($2.50/$7.50, with a $0.50 cache hit price) ➤ Availability: Alibaba Cloud first-party API. Alibaba states the weights will be released next week

  3. Tencent Hy57

    腾讯混元(Tencent Hunyuan)推出 Hy3,以紧凑、高性价比设计实现旗舰级性能,将先进推理与智能体能力带入研究、编程、办公、设计与云工作流。Hy3 现已通过腾讯产品、API 及开发者平台全球可用,API 定价见 OpenRouter。

    引用Tencent 腾讯@TencentGlobal

    Built for practical AI, Tencent Hy3 combines flagship-level performance with a compact, cost-efficient design. Bringing advanced reasoning and agent capabilities to research, coding, office productivity, design and cloud workflows. Now available globally across Tencent products, APIs and developer platforms. Try Hy3 today. Hy3 Official Website: https://hy.tencent.ai Hy3 API Pricing: https://openrouter.ai/tencent/hy3 Tencent WorkBuddy: https://workbuddy.ai Tencent Design Miora: https://miora.design Tencent Cloud TokenHub: https://tencentcloud.com/products/tokenhub

  4. MiniMax (official)66

    MiniMax H3 在 Design Arena 视频评测中拿下多图生视频、图生视频和视频编辑三项第一,超越 Seedance 2.0、Grok Imagine Video 1.5 Preview 和 Gemini Omni Flash。该模型为开源权重,延续了 Kimi K3 在编程类别夺冠后开源模型主导榜单的趋势。

    引用Design Arena@DesignArena

    BREAKING: MiniMax H3 by @MiniMax_AI is 1st across 3 Video categories (Multi-Image to Video, Image to Video, and Video Editing) on Design Arena. MiniMax H3’s performance in Video Arena puts it ahead of other top performing models like Seedance 2.0 by @BytePlusGlobal, Grok Imagine Video 1.5 Preview by @SpaceXAI, and Gemini Omni Flash by @GoogleDeepMind. This marks another category to be led by open-weight models, following Kimi K3’s first place in our coding categories. Congratulations to the @MiniMax_AI team for establishing a new SOTA in video generation!

  5. MiniMax (official)44

    MiniMax H3 在 Video Arena 排名第二,Elo 1325,较前代 Hailuo-2.3 (Pro) 提升 209 分,仅次于 Gemini Omni Flash。在开源模型中位列第一,大幅领先 LTX 2.3 与 Kandinsky 5.0 Pro,创下开源视频生成新 SOTA,且权重开放、价格亲民。

    引用Design Arena@DesignArena

    MiniMax H3 by @MiniMax_AI is 2nd overall on Video Arena with an Elo of 1325. This is a 209 Elo increase from @MiniMax_AI’s previous video model, MiniMax Hailuo-2.3 (Pro), putting them behind Gemini Omni Flash by @GoogleDeepMind and ahead of Seedance 2.0 Mini by @BytePlusGlobal. With this performance, they establish themselves as the 2nd video lab overall. Among open weights, the model is 1st overall, ahead of LTX 2.3 by @Lightricks and Kandinsky 5.0 Pro by AI-Forever. By a substantial gap, MiniMax has set a new SOTA on open weight video generation. Congratulations to the @MiniMax_AI team on the achievement!

  6. Rohan Paul45

    蚂蚁集团InclusionAI的开源模型Ling-3.0-flash已上线AI/ML API,其124B总参数(仅5.1B激活)具备强智能体能力,混合注意力架构使256K上下文处理更经济。该模型基于完整智能体轨迹训练,含工具恢复,可降低长程多步智能体运行成本。AI/ML API提供免费使用至8月6日。

    引用AI/ML API@aimlapi

    Ling-3.0-flash is live on AI/ML API 💎 Created by @AntLingAGI , Ling-3.0-flash is a hybrid-reasoning MoE built for production-scale agents, delivering flagship-level results at a fraction of the compute. Try it for free until August 6: http://aimlapi.com

  7. MiniMax (official)60

    MiniMax 宣布开源 H3 模型,称开放权重意味着更多可能性,并感谢 ComfyUI、magnific 和 OpenRouter 的支持。从 Hailuo 01 到 H3,MiniMax 强调开源能加速进步,希望与社区共同迈向 AGI。

    引用MiniMax (official)@MiniMax_AI

    The road to AGI was never meant to be traveled alone. From Hailuo 01 to H3, we've been incredibly lucky to build alongside so many friends, partners, and fellow builders who believed in the same thing we did. That's why we open-sourced H3. Because progress moves faster when more people can build on it, and because we want to keep moving forward together. "To the edge of the sky" has always been more than a destination for us. It's a belief, and maybe a kind of idealism. To everyone who has been part of this journey: thank you. Together, toward the edge of the sky, we will keep going until we get there.🌌✨

8月5日周三
  1. MarkTechPost79

    NVIDIA 发布 Alpamayo 2 Super:面向 Robotaxi 与自动驾驶的 34B 开源视觉-语言-动作模型

    NVIDIA 发布 Alpamayo 2 Super,一款 34B 参数的视觉-语言-动作(VLA)模型,专为自动驾驶长尾事件设计,权重采用 Linux 基金会 OpenMDW-1.1 许可,代码为 Apache 2.0,发布首日即可商用。

    推荐理由:轨迹与因果解释同时输出,可接入Halos安全验证,自动驾驶团队据此向监管证明决策合理性,减少黑盒依赖。

  2. IT之家·人工智能70

    字节跳动发布音视频全双工大模型 SeedRealtime,已上线豆包 App

    字节跳动 Seed 今日推出原生音视频全双工大模型 SeedRealtime,用统一架构融合音频、视频与文本,支持“边看、边听、边说”的实时交互。端到端评测显示,相比级联模型,其音视频对话节奏问题减少一半。该模型已在豆包 App 全量上线,更新至最新版本后可在对话框选择“打电话”体验。

  3. Qwen47

    让我们在 fal 上用 Qwen-Image-3.0-Pro 一起创作吧!🎨 - 可渲染复杂、密集的排版 - 应用修改时保留面部特征和身份等关键细节 - 完美处理对象编辑、风格迁移和背景替换

    引用fal@fal

    Qwen Image 3.0 Pro is now available on fal - Renders complex, dense typography - Preserves key details like facial features and identity while applying changes - Handles object edits, style transfer, background changes perfectly

  4. 字节 Seed:Research Feed78

    字节 Seed 发布 SeedRealtime 音视频全双工大模型,走向全模态自然交互

    字节 Seed 发布 SeedRealtime,用统一架构原生融合音频、视频与文本,实现“边看、边听、边说”的实时交互。相比级联模型,其音视频对话节奏问题减少一半,并已在豆包 App 全量上线,率先实现音视频全双工技术的规模化落地。

    推荐理由:SeedRealtime 将音视频感知与表达统一到同一端到端模型中,级联系统常见的说话节奏问题减少了一半,实时场景中能主动提醒并自然停顿,为全模态智能助手交互提供了新的技术路线。

  5. Qwen68

    阿里通义千问发布 Qwen-Image-3.0-Pro 与 Standard,现已在 Qwen Cloud 上线。该模型在 Arena 文生图榜单中位列中国模型第一、主流模型第二,支持 4.5k-token 提示词、10px 级文字渲染及 12 种语言。Pro 版起价 $0.04/张,Standard 版起价 $0.03/张。

    引用Qwen Cloud@qwen_cloud

    🔔 Qwen-Image-3.0 现已在 Qwen Cloud 上线! 在 Arena. ai 的文生图竞技场 @arena 中,位列中国模型第 1 名、主流模型第 2 名,现在只需一次 API 调用即可使用。 - 支持高达 4.5k token 的提示词:一次生成报纸、故事板、菜单、试卷 - 文字清晰度低至 10px,细节近乎照片级 - 支持 12 种语言、100+ 种艺术风格,逼真的 UI 模拟 - 生成 + 编辑集于一个模型 💰价格: Qwen-Image-3.0 Pro — 最适合复杂布局、精准文字渲染和商业级视觉,每张图起价 $0.04。 Qwen-Image-3.0 Standard — 适合批量、日常图像生成,每张图起价仅 $0.03。 Qwen-Image-3.0-Pro 与 Standard。从提示词到可直接投产的图像。 👉 在 Qwen Cloud 上试用并获取你的 API key:https://www.qwencloud.com/models/qwen-image-3.0-pro?utm_content=g_20000001188 - 主流模型 = 日均 MaaS API 调用量超过 10 万的模型系列 #QwenCloud #Qwen

    推荐理由:生成与编辑合并在单一模型内,多语言长文本排版的门槛和每次调用成本都明显降低。

  6. IT之家·人工智能52

    京东开源自研实时流式视频编辑模型 JoyAI-Video-Edit,支持“边播边改”

    京东今日开源自研实时流式视频编辑模型 JoyAI-Video-Edit,支持用户一边观看视频一边修改人物与场景。该模型基于全自研 JoyAI-Video 模型,在 720P 分辨率下实现每秒 30 帧的模型推理速度,并支持任意时长的稳定流式编辑。在 OpenVE-Bench 通用评测中,模型超越目前所有流式编辑方法,全局风格、局部替换等任务优势突出。

  7. OpenRouter66

    @bfl_ai 的 FLUX 3 Video 现已在 OpenRouter 上向所有人开放。 一个统一的视频、音频、图像和动作预测多模态模型家族。严肃、有趣、创意、真实、电影感,随你所需。基于统一架构联合训练。

    推荐理由:联合训练的统一架构下,视频生成与图像、音频共享基础能力,跨模态创作的结果可能更连贯,改变了单独优化各模态的传统思路。

  8. Qwen51

    Qwen-Image-3.0-Pro 相比上一代实现了巨大飞跃,目前排名全球第五。感谢认可!我们将继续前行。🚀

    引用Arena.ai@arena

    More exciting news from @Alibaba_Qwen: Qwen-Image-3.0-Pro has entered the Text-to-Image Arena at #5 with 1,263 pts! This is a strong improvement over Qwen-Image-2.0-Pro with 1,191 pts (#15 -> #5). Performance by category also improved substantially (see post below). Congrats to @Alibaba_Qwen on another huge release!

  9. SenseTime67

    商汤发布开源模型 SenseNova U1,可在统一流程中同时进行推理与图像生成。其信息图模式可将单条提示词转为结构化幻灯片,交错模式则逐步生成图文内容,如演示六步画龙教程。模型已上线 SenseNova Studio、HuggingFace 及 GitHub。

    推荐理由:把推理和图像生成整合进单一模型流,信息图模式和逐步教程展示了从推理到可视化的直接路径,为需要图文连贯输出的应用提供了可探索的开源方案。

8月4日周二
  1. NVIDIA Blog68

    NVIDIA Alpamayo 2 Super 开放商用,面向 Robotaxi 与自动驾驶的前沿开源模型

    NVIDIA Alpamayo 2 Super 现已开放商用,基于 Cosmos 3 Super Reasoner 构建,采用强化学习后训练,支持轨迹预测、因果链推理、元动作、自动标注及视觉问答等多任务输出。

    推荐理由:开放商业许可与可解释推理输出结合,自动驾驶团队能直接审查模型决策链,为安全验证提供透明度,降低从研发到商用部署的转换成本。