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Beating AI 快讯，日本开发者 Kamimoto 把 Jev 接进 MiniMax H3 的视频生成流程。它会根据每一层的运行状态，从 1%、3%、5%、10% 四档里选择 Attention 保留多少，再由 Sparse Attention 决定具体哪些计算可以省掉。\n在 RTX 4070 12GB 上，同样生成一段约 5 秒的视频，原版 4-step 方案需要 6 分 07 秒，加入 Sparse Attention + Jev 动态控制后降到 3 分 34 秒，总耗时缩短 41.7%。\n不过，这 41.7% 不能全算在 Jev 头上。Sparse Attention 本身就能通过少算一部分 Attention 来提速，固定保留 5% 或 10% 也会变快。Jev 做的是动态调节：重要的层多算一点，不重要的层少算一点。\n目前还不能证明这种动态调节一定比固定比例画质更好，作者也明确表示质量还没有充分验证。实验代码已经开源。",1790073780000,null,"Tue Sep 22 2026 10:43:00 GMT+0000 (Coordinated Universal Time)",{"id":21,"title":22,"content":23,"publishTime":24,"important":9,"sourceName":10,"language":18,"dateString":25},194318,"DeepSeek V4.1算子作者谈AI冲击：我不得不把才华埋葬在昨天","动察 Beating AI 快讯，DeepSeek 算子工程师刘胜与发文谈 AI 对自己工作的冲击。他称 DeepSeek V4.1 的主 Attention 算子由自己编写，但按照现在的进步速度，再过半年到一年，AI 写算子的水平大概率就会追上甚至超过自己。\n一年前 AI 还只能帮他查文档、读代码、找 bug，现在已经能阅读 CUDA、PTX 和 SASS，分析每条指令的停顿时间，独立优化算子。他预计下一步，AI 还会自己设计调度方案、评估性能并完成实现。\n他很清楚，自己把算子优化得越好，DeepSeek 模型的训练和推理就越快，AI 也会更快追上自己。但就算他现在停下来，其他公司的模型也不会停。所以他还是会继续把算子做到最好，只是这场竞争最后可能先革掉自己的命。\n他判断自己大概率不会失业，但可能被迫「转业」，从亲手写算子变成操纵 Agent 的「机甲驾驶员」。他真正难以接受的不是饭碗消失，而是以后可能再也没有机会做自己喜欢的工作：「我不得不把才华埋葬在昨天。」\n文章最后也谈到了他为什么留在 DeepSeek。他主张最前沿的 AI 应该开放、廉价地提供给所有人，并直言不相信 Anthropic 或 OpenAI 能做到这一点。他担心最强 AI 最终被少数公司掌握，让技术差距进一步变成权力和阶层差距。",1789455420000,"Tue Sep 15 2026 06:57:00 GMT+0000 (Coordinated Universal Time)",{"id":27,"title":28,"content":29,"publishTime":30,"important":9,"sourceName":31,"language":18,"dateString":32},224879,"DeepSeek又双叒崩了：网页和模型API同时异常，19天前刚宕机近5小时","动察 Beating AI 快讯，11 月 3 日 16 时 58 分，DeepSeek 再次出现服务故障。官方状态页显示，网页对话、V4 Pro API 和 V4.1 Flash API 均发生部分中断。截至 17 时 06 分，官方仍在排查，尚未公布具体原因。 这距离 10 月 15 日的上一次大规模故障仅过去 19 天。当时同样是这三项服务一起受到影响，故障持续近 5 小时。DeepSeek 事后公开致歉，宣布按 API 用户此前 7 天的消耗金额全额发放赠金，并承诺全面排查、剥离系统中的单点依赖。",1793697240000,"MarsBit","Tue Nov 03 2026 09:14:00 GMT+0000 (Coordinated Universal Time)",{"id":34,"title":35,"content":36,"publishTime":37,"important":9,"sourceName":31,"language":18,"dateString":38},222099,"DeepSeek新版为何突然变强？外媒曝出Astra蒸馏内幕，梁文锋向竞争压力妥协","动察 Beating AI 快讯，DeepSeek 新版模型能力大涨，背后可能真有 Astra 的功劳。 The Information 援引多名直接知情人士称，DeepSeek 10 月 17 日更新的 V4.1-Flash-1017，以及月之暗面新发布的 Kimi K3.1 Pro，都在训练过程中大量利用了 OpenAI GPT-6 Astra 的输出进行蒸馏。 DeepSeek 新版在浏览器操作任务上的表现尤其突出。Browser Use 的 180 项真实网页任务测试中，它的得分从旧版的 70.9 提高到 75.0，接近 Astra 的 77.9。但每题模型调用成本仅 0.22 美元，Astra 则高达 10.77 美元，相差近 49 倍。 此前，Claude 一直是国内 AI 公司蒸馏的主要目标。但 Anthropic 最近两个月不断收紧防护，试图提取模型推理过程的难度大幅增加，国内实验室于是把目光转向了 Astra。 DeepSeek 创始人梁文锋原本不愿在 V4 研发中依赖蒸馏。但看到智谱 GLM 等国内竞争对手借助蒸馏取得进展后，最终向竞争压力妥协。",1793245440000,"Thu Oct 29 2026 03:44:00 GMT+0000 (Coordinated Universal Time)",{"id":40,"title":41,"content":42,"publishTime":43,"important":9,"sourceName":31,"language":18,"dateString":44},219819,"DeepSeek披露单GPU每小时可创造38美元计费收入，AI推理盈利能力引发关注","动察 Beating AI 快讯，DeepSeek 近期开源推理框架 DeepInfer，并披露其集群每天可处理 155 万亿 Token。按照 DeepSeek API 谷时价格折算，平均每 GPU 小时对应约 38 美元的理论计费收入，若按全年不间断运行计算，年化计费收入超过 33 万美元。 DeepSeek 通过专家并行、推测解码、异步调度及 KV Cache 优化等技术提升推理效率，但上述数字属于理论计费收入，并不等于实际营收或利润。实际收益还取决于 GPU 利用率、付费请求比例、硬件与电力成本，以及服务延迟等因素。 AI 行业正面临需求增长与盈利压力并存的局面。一方面，中小企业 AI 应用及 Agent 部署需求持续升温；另一方面，模型训练、推理服务和基础设施投入仍在侵蚀部分企业利润。据报道，CoreWeave 第二季度营收同比增长约 112% 至 25.75 亿美元，但仍净亏损 6.26 亿美元。 分析认为，推理效率提升有望扩大 AI 服务的利润空间，但高效生产 Token 并不必然意味着商业盈利。随着模型调用量增长，企业仍需解决算力成本、服务定价和客户付费意愿之间的平衡问题。",1792818540000,"Sat Oct 24 2026 05:09:00 GMT+0000 (Coordinated Universal Time)",{"id":46,"title":47,"content":48,"publishTime":49,"important":9,"sourceName":31,"language":18,"dateString":50},218272,"DeepSeek与华为联手挑战英伟达AI算力霸权：参与下一代芯片设计，年底冲刺国产芯片预训练","动察 Beating AI 快讯，去年，DeepSeek 尝试用华为昇腾芯片训练 R2，最后没能成功。《金融时报》当时披露，芯片稳定性、跨卡通信和软件支持都存在问题。即便华为派工程师驻场协助，DeepSeek 最终还是转回英伟达芯片完成训练。 一年多后，双方的合作进一步深入硬件设计。《The Information》现在披露，华为工程师长期驻扎 DeepSeek 办公室，将模型训练中的实际需求直接纳入下一代昇腾芯片的设计，包括如何安排计算任务，以及如何在芯片之间传输数据。 DeepSeek 今年 9 月底刚开源了昇腾版 TileLang，以及矩阵计算、MoE 专家通信等底层工具，减少了模型迁移到国产芯片所需的开发工作。但软件能跑起来，距离完整预训练还有很长一段路。上万颗芯片需要连续协同数周，任何一颗发生故障，或者数据传输出现延迟，都可能拖慢整个集群。如今双方开始从芯片设计阶段处理这些问题。 华为计划将 2027 年第一季度就绪的昇腾 960DT 的大部分供应优先交给 DeepSeek，而不是分散给其他模型公司。DeepSeek 则准备最快今年年底先用 950DT 开始预训练。目前相关测试已使用超过 1000 颗芯片，完整预训练可能需要上万颗，部分集群管理软件仍未完成。与此同时，DeepSeek 仍在寻求更多英伟达芯片。",1792479060000,"Tue Oct 20 2026 06:51:00 GMT+0000 (Coordinated Universal 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