{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-29T02:01:09.050Z","headline":"Kimi Linear：一种表现力强且高效的注意力架构","description":"月之暗面推出 Kimi Linear，一种混合线性注意力架构，首次在短上下文、长上下文和强化学习场景下全面超越全注意力机制。其 3B 激活参数模型在所有评估任务上显著优于全 MLA，同时将 KV cache 使用量降低最多 75%，并在 1M 上下文下实现最高 6 倍解码吞吐量。月之暗面已开源 KDA 内核、vLLM 实现及模型权重。","url":"https://www.aioga.com/news/cms4t5zra01o1roa10b19hmbh/","mainEntityOfPage":"https://www.aioga.com/news/cms4t5zra01o1roa10b19hmbh/","datePublished":"2026-07-28T15:21:28.545Z","dateModified":"2026-07-28T15:21:28.545Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://arxiv.org/abs/2510.26692","https://aihot.virxact.com/items/cms4t5zra01o1roa10b19hmbh"],"canonicalUrl":"https://www.aioga.com/news/cms4t5zra01o1roa10b19hmbh/","directAnswer":{"@type":"Answer","text":"材料称，月之暗面推出混合线性注意力架构 Kimi Linear，其 3B 激活参数模型在所列评估任务上优于全 MLA，KV cache 使用量最多降低 75%，并在 1M 上下文下实现最高 6 倍解码吞吐量。","url":"https://www.aioga.com/news/cms4t5zra01o1roa10b19hmbh/","dateCreated":"2026-07-28T15:21:28.545Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"arXiv source article","url":"https://arxiv.org/abs/2510.26692","datePublished":"2026-07-28T15:21:28.545Z","provider":{"@type":"Organization","name":"arXiv","url":"https://arxiv.org/abs/2510.26692"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cms4t5zra01o1roa10b19hmbh","datePublished":"2026-07-28T15:21:28.545Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cms4t5zra01o1roa10b19hmbh"}}],"aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","originalPublisher":{"name":"arXiv","url":"https://arxiv.org/abs/2510.26692"},"article":{"id":"cms4t5zra01o1roa10b19hmbh","slug":"cms4t5zra01o1roa10b19hmbh","url":"https://www.aioga.com/news/cms4t5zra01o1roa10b19hmbh/","title":"Kimi Linear：一种表现力强且高效的注意力架构","title_en":"","summary":"月之暗面推出 Kimi Linear，一种混合线性注意力架构，首次在短上下文、长上下文和强化学习场景下全面超越全注意力机制。其 3B 激活参数模型在所有评估任务上显著优于全 MLA，同时将 KV cache 使用量降低最多 75%，并在 1M 上下文下实现最高 6 倍解码吞吐量。月之暗面已开源 KDA 内核、vLLM 实现及模型权重。","source":"Hacker News 热门（buzzing.cc 中文翻译）","sourceUrl":"https://arxiv.org/abs/2510.26692","aiHotUrl":"https://aihot.virxact.com/items/cms4t5zra01o1roa10b19hmbh","publishedAt":"2026-07-28T15:21:28.545Z","category":"论文研究","score":76,"selected":true,"articleBody":["月之暗面推出 Kimi Linear，一种混合线性注意力架构，首次在短上下文、长上下文和强化学习场景下全面超越全注意力机制。","其 3B 激活参数模型在所有评估任务上显著优于全 MLA，同时将 KV cache 使用量降低最多 75%，并在 1M 上下文下实现最高 6 倍解码吞吐量。","月之暗面已开源 KDA 内核、vLLM 实现及模型权重。"],"articleImages":[],"mediaStatus":"none","articleBodyZh":[],"translationStatus":"","bodyOrigin":"summary-fallback","editorial":{"summary":"材料称，月之暗面推出混合线性注意力架构 Kimi Linear，其 3B 激活参数模型在所列评估任务上优于全 MLA，KV cache 使用量最多降低 75%，并在 1M 上下文下实现最高 6 倍解码吞吐量。","background":"该内容属于论文研究，公开材料来自 Hacker News 热门内容的 buzzing.cc 中文翻译，原文指向 arXiv。材料还称，月之暗面已开源 KDA 内核、vLLM 实现及模型权重。","viewpoint":"Aioga 判断，Kimi Linear 的关注点不仅是评估表现，也包括长上下文推理中的缓存占用与解码吞吐量。不过，现有摘录未提供任务清单、实验设置及对照细节，不能据此推断其在所有实际部署中均占优。","implications":"Aioga 判断，若论文报告的结果可在相同条件下复现，该架构可能为长上下文模型降低 KV cache 压力并提高解码效率提供新选择。值得关注的是，材料仅陈述最高值，尚不足以判断不同上下文长度下的稳定收益。","nextStep":"建议下一步核对论文中的评估任务、全 MLA 对照配置、硬件环境、吞吐量计算方式及 KV cache 统计口径，并结合已开源的 KDA 内核、vLLM 实现和模型权重开展独立复现。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-07-28T15:50:10.519Z","sourceHash":"3bdc41e903f285c3","review":{"approved":true,"groundedness":96,"clarity":94,"duplicationRisk":12,"blockingIssues":[],"notes":["候选内容对性能数据均采用“材料称”或条件式表述，并明确指出摘录缺少任务清单、实验设置和对照细节，未将论文报告扩大为普遍结论。","后续正式发布时可直接核对 arXiv 原文及开源仓库，以减少对二手中文翻译材料的依赖。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","low-source-overlap","no-html","independent-ai-review"]}},"tags":["论文研究","Hacker News 热门（buzzing.cc 中文翻译）"],"translations":{"zh-CN":{"title":"Kimi Linear：一种表现力强且高效的注意力架构","summary":"月之暗面推出 Kimi Linear，一种混合线性注意力架构，首次在短上下文、长上下文和强化学习场景下全面超越全注意力机制。其 3B 激活参数模型在所有评估任务上显著优于全 MLA，同时将 KV cache 使用量降低最多 75%，并在 1M 上下文下实现最高 6 倍解码吞吐量。月之暗面已开源 KDA 内核、vLLM 实现及模型权重。","category":"论文研究","source":"arXiv","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear：一种表现力强且高效的注意力架构 - Aioga AI资讯","description":"月之暗面推出 Kimi Linear，一种混合线性注意力架构，首次在短上下文、长上下文和强化学习场景下全面超越全注意力机制。其 3B 激活参数模型在所有评估任务上显著优于全 MLA，同时将 KV cache 使用量降低最多 75%，并在 1M 上下文下实现最高 6 倍解码吞吐量。月之暗面已开源 KDA 内核、vLLM 实现及模型权重。","url":"https://www.aioga.com/news/cms4t5zra01o1roa10b19hmbh/"},"en":{"title":"Kimi Linear: A Highly Expressive and Efficient Attention Architecture","summary":"DarkSide has launched Kimi Linear, a hybrid linear attention architecture that, for the first time, fully surpasses the full attention mechanism in short-context, long-context, and reinforcement learning scenarios. Its 3B-activation-parameter model significantly outperforms full MLA across all evaluation tasks, while reducing KV cache usage by up to 75% and achieving up to 6 times decoding throughput on 1M-context scenarios. DarkSide has open-sourced the KDA kernel, vLLM implementation, and model weights.","category":"Research","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: A Highly Expressive and Efficient Attention Architecture - Aioga AI News","description":"DarkSide has launched Kimi Linear, a hybrid linear attention architecture that, for the first time, fully surpasses the full attention mechanism in short-context, long-context, and...","url":"https://www.aioga.com/en/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:42:57.917Z"},"ja":{"title":"Kimi Linear：表現力が高く効率的な注意力アーキテクチャ","summary":"月の暗面は Kimi Linear を発表しました。これはハイブリッド線形注意メカニズムで、短文脈、長文脈、強化学習のシナリオで初めて全注意メカニズムを包括的に上回りました。その 3B 活性化パラメータモデルは、すべての評価タスクで全 MLA よりも大幅に優れており、KV キャッシュ使用量を最大 75% 削減し、1M 文脈で最大 6 倍のデコードスループットを実現しています。月の暗面は KDA カーネル、vLLM 実装、モデルの重みをオープンソース化しました。","category":"論文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear：表現力が高く効率的な注意力アーキテクチャ - Aioga AIニュース","description":"月の暗面は Kimi Linear を発表しました。これはハイブリッド線形注意メカニズムで、短文脈、長文脈、強化学習のシナリオで初めて全注意メカニズムを包括的に上回りました。その 3B 活性化パラメータモデルは、すべての評価タスクで全 MLA よりも大幅に優れており、KV キャッシュ使用量を最大 75% 削減し、1M 文脈で最大 6 倍のデコードスループット...","url":"https://www.aioga.com/ja/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:43:08.054Z"},"ko":{"title":"Kimi Linear: 표현력이 강하고 효율적인 주의력 아키텍처","summary":"월의 암면은 Kimi Linear를 출시했으며, 이는 하이브리드 선형 주의 구조로서 짧은 문맥, 긴 문맥 및 강화 학습 시나리오에서 전통적인 전체 주의 메커니즘을 처음으로 전면적으로 능가합니다. 그 3B 활성 파라미터 모델은 모든 평가 과제에서 전체 MLA보다 현저히 우수하며, KV 캐시 사용량을 최대 75%까지 줄이고, 1M 문맥에서 최대 6배의 디코딩 처리량을 달성합니다. 월의 암면은 KDA 커널, vLLM 구현 및 모델 가중치를 오픈소스로 공개했습니다.","category":"연구","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: 표현력이 강하고 효율적인 주의력 아키텍처 - Aioga AI 뉴스","description":"월의 암면은 Kimi Linear를 출시했으며, 이는 하이브리드 선형 주의 구조로서 짧은 문맥, 긴 문맥 및 강화 학습 시나리오에서 전통적인 전체 주의 메커니즘을 처음으로 전면적으로 능가합니다. 그 3B 활성 파라미터 모델은 모든 평가 과제에서 전체 MLA보다 현저히 우수하며, KV 캐시 사용량을 최대 75%까지 줄이고,...","url":"https://www.aioga.com/ko/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:43:51.638Z"},"es":{"title":"Kimi Linear: una arquitectura de atención expresiva y eficiente","summary":"DarkSide lanzó Kimi Linear, una arquitectura de atención lineal híbrida que supera por completo por primera vez a los mecanismos de atención completa en contextos cortos, largos y escenarios de aprendizaje por refuerzo. Su modelo de 3B parámetros activados supera significativamente a toda la MLA en todas las tareas de evaluación, mientras reduce hasta en un 75% el uso del caché KV y alcanza hasta 6 veces el rendimiento de decodificación en contextos de 1M. DarkSide ha abierto el núcleo KDA, la implementación de vLLM y los pesos del modelo.","category":"Investigación","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: una arquitectura de atención expresiva y eficiente - Aioga Noticias de IA","description":"DarkSide lanzó Kimi Linear, una arquitectura de atención lineal híbrida que supera por completo por primera vez a los mecanismos de atención completa en contextos cortos, largos y...","url":"https://www.aioga.com/es/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:43:45.912Z"},"fr":{"title":"Kimi Linear : une architecture d'attention expressive et efficace","summary":"Moon's Dark Side a lancé Kimi Linear, une architecture d'attention linéaire hybride, surpassant pour la première fois pleinement le mécanisme d'attention complète dans les contextes courts, les contextes longs et les scénarios d'apprentissage par renforcement. Son modèle de 3 milliards de paramètres activés surpasse de manière significative le MLA complet dans toutes les tâches d'évaluation, tout en réduisant l'utilisation du cache KV jusqu'à 75 %, et en atteignant un débit de décodage maximal de 6 fois sous un contexte de 1 million. Moon's Dark Side a rendu open source le noyau KDA, l'implémentation vLLM et les poids du modèle.","category":"Recherche","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear : une architecture d'attention expressive et efficace - Aioga Actualités IA","description":"Moon's Dark Side a lancé Kimi Linear, une architecture d'attention linéaire hybride, surpassant pour la première fois pleinement le mécanisme d'attention complète dans les contexte...","url":"https://www.aioga.com/fr/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:44:33.299Z"},"de":{"title":"Kimi Linear: Eine ausdrucksstarke und effiziente Attention-Architektur","summary":"Moon's Dark Side hat Kimi Linear eingeführt, eine hybride lineare Aufmerksamkeitsarchitektur, die erstmals in kurzen Kontexten, langen Kontexten und Reinforcement-Learning-Szenarien die vollständigen Aufmerksamkeitsmechanismen umfassend übertrifft. Ihr 3B-Aktivierungsparameter-Modell übertrifft bei allen Bewertungsaufgaben das vollständige MLA deutlich, reduziert dabei die KV-Cache-Nutzung um bis zu 75 % und erreicht bei 1M-Kontext die höchste Dekodierungsdurchsatzrate um das bis zu Sechsfache. Moon's Dark Side hat den KDA-Kern, die vLLM-Implementierung und die Modellgewichte Open Source bereitgestellt.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: Eine ausdrucksstarke und effiziente Attention-Architektur - Aioga KI-News","description":"Moon's Dark Side hat Kimi Linear eingeführt, eine hybride lineare Aufmerksamkeitsarchitektur, die erstmals in kurzen Kontexten, langen Kontexten und Reinforcement-Learning-Szenarie...","url":"https://www.aioga.com/de/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:44:39.000Z"},"pt-BR":{"title":"Kimi Linear: uma arquitetura de atenção expressiva e eficiente","summary":"A Face Oculta da Lua lançou o Kimi Linear, uma arquitetura de atenção linear híbrida, que supera totalmente os mecanismos de atenção completos pela primeira vez em cenários de contexto curto, contexto longo e aprendizado por reforço. Seu modelo de 3B de parâmetros ativados supera significativamente a MLA completa em todas as tarefas de avaliação, enquanto reduz o uso de cache KV em até 75% e alcança até 6 vezes o rendimento de decodificação em contextos de 1M. A Face Oculta da Lua abriu o código do núcleo KDA, a implementação vLLM e os pesos do modelo.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: uma arquitetura de atenção expressiva e eficiente - Aioga Notícias de IA","description":"A Face Oculta da Lua lançou o Kimi Linear, uma arquitetura de atenção linear híbrida, que supera totalmente os mecanismos de atenção completos pela primeira vez em cenários de cont...","url":"https://www.aioga.com/pt-BR/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:45:14.078Z"},"ru":{"title":"Kimi Linear: высокоэффективная и выразительная архитектура внимания","summary":"Лунная Тёмная Сторона выпустила Kimi Linear, гибридную архитектуру линейного внимания, которая впервые полностью превосходит механизмы полного внимания в сценариях с коротким контекстом, длинным контекстом и усиленным обучением. Модель с 3 миллиардами активных параметров значительно превосходит полное MLA во всех оценочных задачах, одновременно снижая использование KV-кэша до 75% и обеспечивая до 6-кратного увеличения пропускной способности декодирования при контексте в 1 миллион. Лунная Тёмная Сторона открыла исходный код ядра KDA, реализацию vLLM и веса модели.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: высокоэффективная и выразительная архитектура внимания - Aioga Новости ИИ","description":"Лунная Тёмная Сторона выпустила Kimi Linear, гибридную архитектуру линейного внимания, которая впервые полностью превосходит механизмы полного внимания в сценариях с коротким конте...","url":"https://www.aioga.com/ru/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:45:17.600Z"},"ar":{"title":"Kimi Linear: بنية انتباه قوية وفعالة","summary":"أطلقت Moon’s Dark Side Kimi Linear، وهو هيكل انتباه خطي مختلط، متجاوزًا بالكامل آلية الانتباه الكاملة لأول مرة في سياقات قصيرة وطويلة وسيناريوهات التعلم التعزيزي. نموذجها الذي يحتوي على 3 مليارات معامل نشط يتفوق بشكل ملحوظ على MLA الكامل في جميع مهام التقييم، بينما يقلل استخدام KV cache بنسبة تصل إلى 75٪، ويحقق أقصى معدل نقل فك تشفير يصل إلى 6 أضعاف في سياق 1M. وقد قامت Moon’s Dark Side بإصدار المصدر المفتوح لنواة KDA وتنفيذ vLLM ووزنات النموذج.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: بنية انتباه قوية وفعالة - Aioga أخبار الذكاء الاصطناعي","description":"أطلقت Moon’s Dark Side Kimi Linear، وهو هيكل انتباه خطي مختلط، متجاوزًا بالكامل آلية الانتباه الكاملة لأول مرة في سياقات قصيرة وطويلة وسيناريوهات التعلم التعزيزي. نموذجها الذي يحتو...","url":"https://www.aioga.com/ar/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:45:56.777Z"},"hi":{"title":"Kimi Linear: एक शक्तिशाली और कुशल अटेंशन आर्किटेक्चर","summary":"मून डार्क साइड ने Kimi Linear लॉन्च किया, एक मिश्रित रैखिक ध्यान संरचना, जो पहली बार छोटे संदर्भ, बड़े संदर्भ और सशक्तिकरण सीखने के परिदृश्यों में पूरी तरह से पूर्ण ध्यान तंत्र को पीछे छोड़ती है। इसका 3B सक्रिय पैरामीटर मॉडल सभी मूल्यांकन कार्यों में पूर्ण MLA से स्पष्ट रूप से बेहतर है, साथ ही KV कैश उपयोग को अधिकतम 75% तक घटाता है और 1M संदर्भ में अधिकतम 6 गुना डिकोडिंग थ्रूपुट प्राप्त करता है। मून डार्क साइड ने KDA कोर, vLLM कार्यान्वयन और मॉडल वज़न ओपनसोर्स कर दिए हैं।","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: एक शक्तिशाली और कुशल अटेंशन आर्किटेक्चर - Aioga AI समाचार","description":"मून डार्क साइड ने Kimi Linear लॉन्च किया, एक मिश्रित रैखिक ध्यान संरचना, जो पहली बार छोटे संदर्भ, बड़े संदर्भ और सशक्तिकरण सीखने के परिदृश्यों में पूरी तरह से पूर्ण ध्यान तंत्र को...","url":"https://www.aioga.com/hi/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:45:55.438Z"},"it":{"title":"Kimi Linear: un'architettura di attenzione espressiva ed efficiente","summary":"DarkSide of the Moon ha lanciato Kimi Linear, un'architettura di attenzione lineare ibrida che supera per la prima volta completamente i meccanismi di attenzione completa in contesti brevi, contesti lunghi e scenari di apprendimento per rinforzo. Il suo modello a 3B parametri attivi supera significativamente tutti i MLA completi in tutte le attività di valutazione, riducendo al contempo l'uso della cache KV fino al 75% e raggiungendo un throughput di decodifica fino a 6 volte superiore su un contesto di 1M. DarkSide of the Moon ha reso open source il kernel KDA, l'implementazione vLLM e i pesi del modello.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: un'architettura di attenzione espressiva ed efficiente - Aioga Notizie IA","description":"DarkSide of the Moon ha lanciato Kimi Linear, un'architettura di attenzione lineare ibrida che supera per la prima volta completamente i meccanismi di attenzione completa in contes...","url":"https://www.aioga.com/it/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:46:35.298Z"},"nl":{"title":"Kimi Linear: een expressieve en efficiënte aandachtarchitectuur","summary":"DarkSide Moon heeft Kimi Linear geïntroduceerd, een hybride lineaire attentie-architectuur, die voor het eerst volledig superieur is aan volledig attentie-mechanismen in korte contexten, lange contexten en versterkingsleerscenario's. Het 3 miljard activeringsparameter-model presteert aanzienlijk beter dan volledige MLA op alle evaluatietaken, terwijl het KV-cachegebruik tot 75% vermindert en bij 1 miljoen contexten een maximale decodeerdoorvoer van 6 keer bereikt. DarkSide Moon heeft de KDA-kernel, vLLM-implementatie en modelgewichten open source gemaakt.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: een expressieve en efficiënte aandachtarchitectuur - Aioga AI-nieuws","description":"DarkSide Moon heeft Kimi Linear geïntroduceerd, een hybride lineaire attentie-architectuur, die voor het eerst volledig superieur is aan volledig attentie-mechanismen in korte cont...","url":"https://www.aioga.com/nl/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:46:33.130Z"},"tr":{"title":"Kimi Linear: Güçlü ifade kapasitesine sahip ve verimli bir dikkat mimarisi","summary":"Moon Dark Side, Kimi Linear'i tanıttı; bu, hibrit bir lineer dikkat mimarisi olup kısa bağlam, uzun bağlam ve güçlendirilmiş öğrenme senaryolarında tamamen dikkat mekanizmasını ilk kez kapsamlı bir şekilde geride bırakıyor. 3B etkinleştirme parametreli modeli, tüm değerlendirme görevlerinde tam MLA'dan belirgin şekilde üstün performans gösterirken KV önbellek kullanımını en fazla %75 oranında azaltıyor ve 1M bağlamında en fazla 6 kat çözümleme verimliliği sağlıyor. Moon Dark Side, KDA çekirdeğini, vLLM uygulamasını ve model ağırlıklarını açık kaynak yaptı.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: Güçlü ifade kapasitesine sahip ve verimli bir dikkat mimarisi - Aioga AI Haberleri","description":"Moon Dark Side, Kimi Linear'i tanıttı; bu, hibrit bir lineer dikkat mimarisi olup kısa bağlam, uzun bağlam ve güçlendirilmiş öğrenme senaryolarında tamamen dikkat mekanizmasını ilk...","url":"https://www.aioga.com/tr/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:47:14.893Z"},"vi":{"title":"Kimi Linear: Một kiến trúc chú ý mạnh mẽ và hiệu quả","summary":"Moon Dark Side ra mắt Kimi Linear, một kiến trúc chú ý tuyến tính kết hợp, lần đầu tiên vượt trội toàn diện so với cơ chế chú ý đầy đủ trong bối cảnh ngắn hạn, dài hạn và học tăng cường. Mô hình 3 tỷ tham số kích hoạt của nó vượt trội rõ rệt so với toàn bộ MLA trong tất cả các nhiệm vụ đánh giá, đồng thời giảm tới 75% việc sử dụng bộ nhớ đệm KV và đạt tốc độ giải mã cao nhất gấp 6 lần trong ngữ cảnh 1 triệu. Moon Dark Side đã mở mã nguồn nhân KDA, triển khai vLLM và trọng số mô hình.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: Một kiến trúc chú ý mạnh mẽ và hiệu quả - Tin tức AI Aioga","description":"Moon Dark Side ra mắt Kimi Linear, một kiến trúc chú ý tuyến tính kết hợp, lần đầu tiên vượt trội toàn diện so với cơ chế chú ý đầy đủ trong bối cảnh ngắn hạn, dài hạn và học tăng...","url":"https://www.aioga.com/vi/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:47:23.047Z"},"id":{"title":"Kimi Linear: Sebuah arsitektur perhatian yang ekspresif dan efisien","summary":"The Dark Side of the Moon meluncurkan Kimi Linear, sebuah arsitektur perhatian linear campuran, untuk pertama kalinya secara menyeluruh melampaui mekanisme perhatian penuh dalam konteks pendek, konteks panjang, dan skenario pembelajaran penguatan. Model 3B parameter aktivasi-nya secara signifikan mengungguli MLA penuh di semua tugas evaluasi, sambil mengurangi penggunaan cache KV hingga 75%, dan mencapai throughput decoding hingga 6 kali pada konteks 1M. The Dark Side of the Moon telah merilis kode kernel KDA, implementasi vLLM, dan bobot model.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: Sebuah arsitektur perhatian yang ekspresif dan efisien - Berita AI Aioga","description":"The Dark Side of the Moon meluncurkan Kimi Linear, sebuah arsitektur perhatian linear campuran, untuk pertama kalinya secara menyeluruh melampaui mekanisme perhatian penuh dalam ko...","url":"https://www.aioga.com/id/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:48:01.576Z"},"th":{"title":"Kimi Linear: สถาปัตยกรรมความสนใจที่มีประสิทธิภาพและแสดงออกได้สูง","summary":"DarkSide เปิดตัว Kimi Linear ซึ่งเป็นสถาปัตยกรรมความสนใจเชิงเส้นแบบผสม ซึ่งครั้งแรกที่สามารถเอาชนะกลไกความสนใจทั้งหมดได้อย่างครอบคลุมทั้งในบริบทสั้น บริบทยาว และสถานการณ์การเรียนรู้แบบเสริม โมเดลที่มีพารามิเตอร์กระตุ้น 3B ของมันเหนือกว่า MLA ทั้งหมดอย่างชัดเจนในทุกงานประเมินผล พร้อมลดการใช้ KV cache ได้สูงสุดถึง 75% และบรรลุอัตราการถอดรหัสสูงสุด 6 เท่าในบริบท 1M DarkSide ได้เปิดซอร์สเคอร์เนล KDA, การใช้งาน vLLM และน้ำหนักโมเดลแล้ว","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: สถาปัตยกรรมความสนใจที่มีประสิทธิภาพและแสดงออกได้สูง - ข่าว AI Aioga","description":"DarkSide เปิดตัว Kimi Linear ซึ่งเป็นสถาปัตยกรรมความสนใจเชิงเส้นแบบผสม ซึ่งครั้งแรกที่สามารถเอาชนะกลไกความสนใจทั้งหมดได้อย่างครอบคลุมทั้งในบริบทสั้น บริบทยาว และสถานการณ์การเรียนรู...","url":"https://www.aioga.com/th/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:48:09.785Z"},"pl":{"title":"Kimi Linear: Wysoce ekspresyjna i wydajna architektura uwagi","summary":"Moon Dark Side wprowadza Kimi Linear, hybrydową architekturę liniowej uwagi, która po raz pierwszy w pełni przewyższa mechanizm pełnej uwagi w scenariuszach krótkiego kontekstu, długiego kontekstu i uczenia wzmocnionego. Model z 3 miliardami aktywnych parametrów wykazuje znaczącą przewagę nad pełną MLA we wszystkich zadaniach oceny, jednocześnie zmniejszając zużycie pamięci KV cache nawet o 75% i osiągając do 6-krotnego wzrostu przepustowości dekodowania przy kontekście 1M. Moon Dark Side udostępnił open source jądro KDA, implementację vLLM oraz wagi modelu.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Kimi Linear: Wysoce ekspresyjna i wydajna architektura uwagi - Aioga Wiadomości AI","description":"Moon Dark Side wprowadza Kimi Linear, hybrydową architekturę liniowej uwagi, która po raz pierwszy w pełni przewyższa mechanizm pełnej uwagi w scenariuszach krótkiego kontekstu, dł...","url":"https://www.aioga.com/pl/news/cms4t5zra01o1roa10b19hmbh/","contentTranslated":true,"sourceHash":"193dc6fe4cd0a5be","translatedAt":"2026-07-28T15:48:47.488Z"}}}}