[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-nvidia-audex-30b-moe":3,"topics-all":36,"news-related-b86d15f9-d4de-4013-ab3c-456717759a47":55},{"id":4,"title":5,"summary":6,"content":6,"original_url":7,"source_id":8,"tags":9,"translations":23,"news_slug":29,"published_at":30,"created_at":31,"modified_at":32,"is_published":33,"publish_type":34,"image_url":13,"view_count":35},"b86d15f9-d4de-4013-ab3c-456717759a47","NVIDIA Audex 把\"听懂+听懂+说出\"压进一个 30B MoE：单 Transformer 解码器统一文本与音频推理","NVIDIA 7 月 6 日放出 Nemotron-Labs-Audex-30B-A3B（arXiv 2607.05196），把语音识别、翻译、TTS、音频生成、语音到语音对话压进 30B MoE 单 Transformer 解码器；通过扩展离散音频词表 + 投影到文本嵌入空间 + 多阶段 SFT → Cascade RL → 多领域 on-policy 蒸馏（157.4B 音频 + 320.5B 文本 token），六项音频任务达到 SOTA 且文本推理几乎零回归，沿用 vLLM\u002Ftransformers 5.x 推理栈，开源但走 NVIDIA OneWay 非商用 license。","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.05196","7437aeb9-930c-4866-a2e9-48003c1a792b",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"7e89b5cc-57db-4f37-bc6d-28919a73931c","model-release",{"id":18,"name":19,"slug":19,"description":13,"color":13},"8dac812d-3839-4abe-a855-5f56ec9515fd","nvidia",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":13},"756b9555-af4e-4035-b13f-5404d48e3f6e","en","NVIDIA Audex: one 30B MoE unifies text and audio reasoning","On July 6, NVIDIA released Nemotron-Labs-Audex-30B-A3B (arXiv 2607.05196), packing speech recognition, translation, TTS, audio generation, and speech-to-speech dialogue into a 30B MoE single Transformer decoder; through extended discrete audio vocabulary + projection to text embedding space + multi-stage SFT → Cascade RL → multi-domain on-policy distillation (157.4B audio + 320.5B text tokens), it reaches SOTA on six audio tasks with virtually no regression on text reasoning, reuses the vLLM\u002Ftransformers 5.x inference stack, and is open-source but under NVIDIA's OneWay non-commercial license.","nvidia-audex-30b-moe","2026-07-08T10:30:00Z","2026-07-08T02:12:41.433468Z","2026-08-19T02:08:40.142862Z",true,"agent",232,[37,46],{"slug":38,"tag_slug":38,"title_zh":39,"title_en":40,"intro_zh":41,"intro_en":42,"id":43,"is_active":33,"created_at":44,"modified_at":45},"ai-for-science","AI for Science 2026：从 UniPert 到 GPT-Rosalind 的硬核进化","AI for Science 2026: from UniPert to GPT-Rosalind","生命科学、化学材料、物理世界模型——AI 正在从\"语言工具\"变成\"实验伙伴\"。本专题收录 AI 在三大科学方向的关键节点：UniPert 统一基因与化学扰动空间、GPT-Rosalind 端到端生命科学推理、达摩院 AI 智能体 28 小时找到 4 种超导新材料、Anthropic Claude Science 把工作台做成标准品。","From language tool to lab partner — AI is reshaping life sciences, chemistry\u002Fmaterials, and physical world models. This topic covers the key milestones: UniPert unifying genetic-chemical perturbation spaces, GPT-Rosalind's end-to-end life-sciences reasoning, DAMO's AI agent discovering 4 superconducting materials in 28 hours, and Anthropic's Claude Science workbench going mainstream.","988a4300-5fab-41c4-b5d8-63711a2dc757","2026-09-10T01:34:15.296649Z","2026-09-10T01:34:15.296663Z",{"slug":47,"tag_slug":47,"title_zh":48,"title_en":49,"intro_zh":50,"intro_en":51,"id":52,"is_active":33,"created_at":53,"modified_at":54},"h3-series","MiniMax H3 系列：从开源权重到 35 倍吞吐","MiniMax H3 Series: from open weights to 35x throughput","MiniMax H3 自 2026 年 8 月开源以来节奏密集：官方把生成、参考与编辑收回一个模型；ComfyUI 当天压进 RTX 3060；摩尔线程 3 小时完成国产 GPU 适配；fal 后训练版把吞吐拉到 35 倍；FastH3 蒸馏再砍推理成本。本专题持续追踪 H3 的发布—开源—蒸馏—部署全链路。","Since MiniMax open-sourced H3 in August 2026 the pace has been relentless: one unified omni-modal model, same-day ComfyUI support down to an RTX 3060, a 3-hour Day-0 port to Moore Threads GPUs, fal's post-trained H3 Max at 35x throughput, and FastH3 distillation cutting inference cost further. This topic tracks the full H3 chain — release, open weights, distillation, deployment.","83ef0daa-3c31-4cb3-86ed-e5ee58654d5f","2026-09-08T07:33:19.942193Z","2026-09-08T07:33:19.942209Z",{"items":56},[57,62,67,72,77,82],{"id":58,"title":59,"news_slug":60,"published_at":61},"2ddb354a-06f7-4781-b2d5-bcfd1faf38a5","Dory 1.0:英伟达4B循环模型,指令遵循反超9B","nvidia-dory-1-0-4b-looped-llm","2026-10-20T21:09:38+00:00",{"id":63,"title":64,"news_slug":65,"published_at":66},"5736961c-9502-40d0-a39b-27f8ceb4380a","AI造AI:Recursive开源笔记本编程模型Flint","recursive-flint-laptop-coding-model","2026-10-22T19:05:00+00:00",{"id":68,"title":69,"news_slug":70,"published_at":71},"b44fb160-9027-44cd-b355-a66869004abc","Nemotron 3.5 Super VL 开源:120B 总参只激活 12B","nemotron-3-5-super-vl-open-120b-moe","2026-10-20T17:11:56+00:00",{"id":73,"title":74,"news_slug":75,"published_at":76},"faf5c85e-ed83-432a-8b55-80c9356862c5","腾讯优图开源5B全模态解析:文档榜96.96超GPT-5.2","youtu-parsing-omni-5b","2026-10-19T19:09:27+00:00",{"id":78,"title":79,"news_slug":80,"published_at":81},"bbfcbee4-8d92-4078-bb1e-eaf4d1c1e146","Beam 权重落地:501B MoE 三精度齐发","beam-1-0-weights-open-agent-stack","2026-10-18T21:10:09+00:00",{"id":83,"title":84,"news_slug":85,"published_at":86},"48726cf0-6f0c-4b09-841e-06aa8b0ffcfd","上海AI Lab Intern-Decision:多模态决策模型,4B 微超 Jev 90.02%","intern-decision-qwen3-5-multimodal-decision-model","2026-10-18T11:13:06+00:00"]