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8月7日周五
  1. The Decoder:AI News49

    字节跳动正在训练中国最大AI模型,参数规模达十万亿

    字节跳动正在训练一个参数规模高达十万亿的AI模型,是当前中国最大模型Moonshot Kimi K3的三倍,与Anthropic顶级系统Mythos 5(行业估计约八万亿参数)处于同一量级。三位知情人士称该模型正处于预训练阶段,通常耗时三到六个月;字节跳动已一年多未使用知识蒸馏。创始人张一鸣已内部要求Seed团队以世界领先的模型能力为长期目标。

  2. 公众号:蚂蚁百灵75

    蚂蚁百灵开源 Ling-3.0-flash:124B 总参数 MoE 模型,支持 API、单机与高性能三种部署

    蚂蚁百灵正式开源新一代原生混合推理模型 Ling-3.0-flash,采用 124B 总参数、5.1B 激活参数的 MoE 架构,并提供 FP8、FP4、INT4 等多个版本。

    推荐理由:提供FP4/INT4量化版本并验证单机推理,让数据敏感、预算有限的团队也能本地运行千亿参数模型,将大模型能力从云端拉回到可控环境。

  3. IT之家·人工智能71

    谷歌推出 WeatherNext 气旋模型,AI 高精度预报飓风平均提前 24 小时

    谷歌 DeepMind 联合多家机构推出 WeatherNext Cyclones 气旋预测模型,在路径、强度和风场结构预测精度上达到业界领先。该模型将有效预报时长从 2 天延长至 3 天,平均提前 24 小时,预测量级约相当于 10 年气象进展。

    推荐理由:将气旋预报时效提前24小时并开源全套模型权重,气象机构可据此提升预警窗口,影响紧急预案规划。

  4. IT之家·人工智能54

    曝 OpenAI 最快下周推出 Astra 模型,系 GPT-4.5 以来训练的最大模型

    消息源爆料称,OpenAI 目标下周发布内部代号为 mewfour 的 Astra 模型,这是其自 GPT-4.5 以来训练的最大全新预训练模型。该模型可组织和协同 AI 智能体,适合长周期、高难度任务,面向更强的推理和协作型工作流。此前有报道称,Astra 一个内部版本已解出 10 个重要开放数学问题,按 Sol API 费率计算所需 token 成本约 2,000 美元。

  5. Rohan Paul56

    OpenAI 将 GPT-5.5 升级为 GPT-5.6 Sol,统一驱动 ChatGPT Plus 和 Pro 用户的 Instant 与深度推理模式,并用滑块调节思考量而非切换模型。免费和 Go 用户默认使用 GPT-5.6 Luna,享无限文本聊天和 Think 按钮。内部评测显示,其金融、医学和法律领域的事实错误比 GPT-5.5 Instant 减少 68%。

    引用OpenAI@OpenAI

    We’re making better intelligence easier to access in ChatGPT for everyone: - GPT-5.6 Sol now powers both Instant and deep reasoning for Plus & Pro users, delivering more factual, focused responses. - Free & Go users get unlimited text chats with GPT-5.6 Luna starting tomorrow.

  6. TechCrunch:AI72

    ChatGPT 向免费用户开放无限文本聊天,默认模型升级为 GPT-5.6 Luna

    OpenAI 宣布取消 ChatGPT 所有用户的文本聊天限制,该产品周活跃用户已突破 10 亿。新版 GPT-5.6 Luna 将成为 Free 和 Go 用户的默认模型,取代 GPT-5.5,并新增“Think”按钮以处理复杂问题。Plus 和 Pro 用户今日起可使用升级版 GPT-5.6 Sol,内部评测显示其事实错误率较 GPT-5.5-Instant 降低 68%。

  7. OpenAI:官网动态53

    ChatGPT 推出改进版 GPT-5.6 Sol,并扩大免费用户访问权限

    ChatGPT 推出改进版 GPT-5.6 Sol,提升准确性与一致性,同时扩大免费用户访问权限。免费用户还可无限次使用 GPT-5.6 Luna 进行日常对话。

    推荐理由:这次更新把 Sol 的准确度和一致性提升后开放给免费用户,同时 Luna 的无限日常聊天让非付费用户也能稳定使用基础能力,减少了因模型切换造成的体验落差。

  8. 蚂蚁百灵:Developer Blog68

    蚂蚁百灵开源 Ling-3.0-flash:124B 总参数 MoE 混合推理模型

    蚂蚁百灵正式开源原生混合推理模型 Ling-3.0-flash,采用 124B 总参数、5.1B 激活参数的 MoE 架构,同步提供基础版及 FP8、FP4、INT4 多个精度版本。

    推荐理由:官方开源公告给出了参数规模、多精度版本和三类部署路径的具体数据,读者可据此评估接入方式与适用场景。

8月6日周四
  1. NVIDIA Blog71

    NVIDIA Cosmos 3:开放世界模型如何推动物理 AI 前沿

    NVIDIA 发布 Cosmos 3,一个基于混合 Transformer 架构的开放物理 AI 基础全模态模型,整合视觉推理、世界生成与动作预测。

    推荐理由:介绍 Cosmos 3 作为开放物理 AI 基础模型的架构、基准表现和行业用例,为需要定制世界模型的机器人、自动驾驶和视觉 AI 团队提供了可直接参考的技术路线。

  2. 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。

  3. 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

  4. 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

  5. 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!

  6. 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!

  7. 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

  8. 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。