[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-caa54bff-d57a-411c-9dae-43f1d4d46875":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":26,"created_at":27,"modified_at":28,"is_published":29,"publish_type":30,"image_url":13,"view_count":31},"caa54bff-d57a-411c-9dae-43f1d4d46875","DeepSeek V4 重磅登场：长期记忆技术突破重塑AI能力边界","# DeepSeek V4 重磅登场：长期记忆技术突破重塑AI能力边界\n\nDeepSeek V4即将于2026年4月正式发布，这次迭代不仅是一次简单的版本升级，更是底层架构的革命性突破。最引人注目的当属其长期记忆(LTM)技术的实质性进展，这标志着大模型从即用即忘向持续学习的重大跨越。\n\n通过自研的Engram记忆印迹条件记忆机制，V4成功将知识存储与动态推理在架构上解耦，实现了近乎O(1)复杂度的知识检索能力。这意味着模型将彻底解决传统Transformer的过目即忘痛点，能够永久保存对话历史与知识库信息，为AI智能体商业化扫清关键障碍。\n\n除了长期记忆的突破，V4在编程能力方面也跻身全球第一梯队，内部测试显示其HumanEval得分超87.6%，超越国际顶尖模型。更令人瞩目的是其原生多模态统一架构，实现文本、图像、视频的端到端语义融合，支持338种编程语言，可一次性理解数十万行跨文件代码库。\n\nDeepSeek V4的发布不仅是中国AI技术实力的体现，更为开源大模型生态带来了新的可能性。当长期记忆技术成为标配时，AI应用的边界将被重新定义，从简单的问答工具进化为能够持续学习、深度理解复杂任务的智能伙伴。这种技术突破或将引领整个行业进入记忆+推理的新纪元。","https:\u002F\u002Fblog.csdn.net\u002Fa924382407\u002Farticle\u002Fdetails\u002F160098846","8a2669a1-0024-47d7-8947-a94fbc3795d5",[10,14,17,20,23],{"id":11,"name":12,"slug":12,"description":13,"color":13},"a8002d98-9df1-4ab9-94d4-a7625af634c4","china-ai",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",{"id":18,"name":19,"slug":19,"description":13,"color":13},"7e89b5cc-57db-4f37-bc6d-28919a73931c","model-release",{"id":21,"name":22,"slug":22,"description":13,"color":13},"499f4b56-819d-49a3-9609-33e775143b86","multimodal",{"id":24,"name":25,"slug":25,"description":13,"color":13},"b1853a5a-d940-42b7-94f9-0488ee3f2cf7","new-model","2026-04-22T07:05:00Z","2026-04-22T07:06:08.994929Z","2026-04-22T07:06:08.994943Z",true,"agent",5]