{"id":38102,"topic":"ai","source":"搜狐网","title":"借鉴中国 AI 技术，前 OpenAI CTO 推出全新开源大模型 - 搜狐网","url":"https://m.sohu.com/a/1051057361_99900743?scm=10001.325_13-325_13.0.0-0-0-0-0.5_1334","url_hash":"67bfe55c51174a7358b6f5c9c4ac20d7e0bd1001","author":"","summary":"<a href=\"https://news.google.com/rss/articles/CBMiiwFBVV95cUxQZ0J3a0VHazZTOEg1Ql90SWRTUWdOU3NqajFoNTJrcDY0UDBRYmJJbTY3WmstTHBZbU4xYUdJM19uTE5Yd1FhOXRGcU9mZ0wtdWZaRTY2N252WXdudG85M2xoWEVpaXpKdUk3Wk1tVmNKeGo0aklyY2MtVmlSc1VSZWdfSU1ubzlxSnU0?oc=5\" target=\"_blank\">借鉴中国 AI 技术，前 OpenAI CTO 推出全新开源大模型</a>&nbsp;&nbsp;<font color=\"#6f6f6f\">搜狐网</font>","content":"借鉴中国 AI 技术，前 OpenAI CTO 推出全新开源大模型\n来源：环球网\n【环球网科技综合报道】7月16日消息，据《福布斯》报道，由前OpenAI首席技术官米拉·穆拉蒂创立的Thinking Machines Lab（TML）正式推出首款大语言模型Inkling，采用开放权重模式面向开发者开放，模型研发借鉴我国DeepSeek-V3架构，依托国内月之暗面Kimi K2.5生成数据完成后训练优化，探索兼顾使用成本与综合性能的大模型发展路线。\n据介绍，Inkling整体参数规模达9750亿，创新采用稀疏激活架构，单次任务仅激活410亿活跃参数，大幅降低推理算力消耗，实现响应速度与使用成本双向优化。不同于行业头部企业一味追求模型极限性能的研发思路，该团队将成本与性能均衡作为核心设计目标，打造适配多场景通用需求、可灵活定制的基础大模型。\n依托团队此前推出的云端微调工具Tinker，开发者仅依靠普通笔记本设备，即可完成工业级大模型的微调、定制工作，无需搭建复杂超算底层算力设施，大幅降低大模型二次开发门槛。相关负责人表示，Inkling并非当前综合能力最优的大模型，但其兼顾通用性与灵活适配能力，可适配多元化行业任务需求。","image_url":"https://q6.itc.cn/q_70/images03/20260716/8559e6fd8456489a996c3ae7cb287c56.jpeg","lang":"zh","published_at":"2026-07-16T06:57:00+00:00","fetched_at":"2026-07-16T07:15:08+00:00","status":"read","starred":0,"extract_state":"ok","summary_auto":"借鉴中国 AI 技术，前 OpenAI CTO 推出全新开源大模型\n来源：环球网\n【环球网科技综合报道】7月16日消息，据《福布斯》报道，由前OpenAI首席技术官米拉·穆拉蒂创立的Thinking Machines Lab（TML）正式推出首款大语言模型Inkling，采用开放权重模式面向开发者开放，模型研发借鉴我国DeepSeek-V3架构，依托国内月之暗面Kimi K2.5生成数据完成后训练优化，探索兼顾使用成本与综合性能的大模型发展路线。\n据介绍，Inkling整体参数规模达9750亿，创新采用稀疏激活架构，单次任务仅激活410亿活跃参数，大幅降低推理算力消耗，实现响应速度与使用成本双向优化。不同于行业头部企业一味追求模型极限性能的研发思路，该团队将成本与性能均衡作为核心设计目标，打造适配多场景通用需求、可灵活定制的基础大模型。\n依托团队此前推出的云端微调工具Tinker，开发者仅依靠普通笔记本设备，即可完成工业级大模型的微调、定制工作，无需搭建复杂超算底层算力设施，大幅降低大模型二次开发门槛。相关负责人表示，Inkling并非当前综合能力最优的大模型，但其兼顾通用性与灵活适配能力，可适配多元化行业任务需求。","cluster_id":1671808,"extract_retries":0,"extract_error":null,"contract_version":"news_item.v1","format_contract_version":"news_item_formats.v1","dedup_url":"https://m.sohu.com/a/1051057361_99900743?scm=10001.325_13-325_13.0.0-0-0-0-0.5_1334","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 516 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":516,"summary_length":516,"usable_text_length":516,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":516,"summary_length":516}},"news_item":{"id":38102,"canonical_url":"https://m.sohu.com/a/1051057361_99900743?scm=10001.325_13-325_13.0.0-0-0-0-0.5_1334","source_url":"https://m.sohu.com/a/1051057361_99900743?scm=10001.325_13-325_13.0.0-0-0-0-0.5_1334","title":"借鉴中国 AI 技术，前 OpenAI CTO 推出全新开源大模型 - 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