[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-gear-vq-tokenizer-llamagen":3,"topics-all":36,"news-related-28d4382c-abca-4e32-9294-24835089367d":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},"28d4382c-abca-4e32-9294-24835089367d","GEAR 把 VQ tokenizer 拉回训练循环:让自回归图像生成首次跑赢 LlamaGen-REPA","北大 + 腾讯混元联合团队开源 GEAR(Guided End-to-End AutoRegression for Image Synthesis),通过 dual read-out 架构让 VQ tokenizer 和 AR 生成器真正端到端联训,在 ImageNet 上把 gFID 收敛速度推到 LlamaGen-REPA 基线的约 10 倍,并把对齐成本从 tokenizer 端转嫁到 AR 端,为下一代开源视觉生成模型提供了改动极小、可直接落地的训练范式。","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.32039","7437aeb9-930c-4866-a2e9-48003c1a792b",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"5e628969-6d2a-437f-998a-104e4b16cfb1","ai-progress",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"a8002d98-9df1-4ab9-94d4-a7625af634c4","china-ai",{"id":18,"name":19,"slug":19,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source",{"id":21,"name":22,"slug":22,"description":13,"color":13},"c883fd20-1d66-4fb7-9fc7-320fa7f87023","text-to-image",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":13},"1d6553cc-5835-41b8-b50a-d6769e7e5706","en","GEAR pulls VQ tokenizers back into the training loop","Peking University + Tencent Hunyuan's joint team open-sources GEAR (Guided End-to-End AutoRegression for Image Synthesis), using a dual read-out architecture to truly end-to-end co-train the VQ tokenizer and AR generator, pushing gFID convergence speed on ImageNet to about 10× the LlamaGen-REPA baseline, and shifting the alignment cost from the tokenizer side to the AR side, providing a minimally changed, directly drop-in training paradigm for the next generation of open-source visual generation models.","gear-vq-tokenizer-llamagen","2026-07-10T14:05:00Z","2026-07-10T14:08:01.036643Z","2026-08-19T02:08:40.142862Z",true,"agent",97,[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},"0d8fdf45-4585-47c0-9e78-3652e318b156","Apple Intelligence 中国版落地:通义千问接管语言 AI,百度负责视觉搜索","apple-intelligence-china-qwen-baidu-2026","2026-08-25T12:00:00+00:00",{"id":63,"title":64,"news_slug":65,"published_at":66},"1844afb1-3a1c-4acd-9e4c-f5e2792a2018","下载免费不等于商用免费：HF Summer 2026 隐藏的开源前沿许可证分水岭","frontier-license-shift-hf-summer-2026","2026-08-23T12:30:00+00:00",{"id":68,"title":69,"news_slug":70,"published_at":71},"9389d1ed-dd2d-41cb-bbc5-9a543e2b2f71","开源报告里的「参数天花板」分水岭:中国实验室把上限拉到2.78T,美国还在130B徘徊","hf-summer-2026-china-open-weight-parameter-ceiling","2026-08-20T06:00:00+00:00",{"id":73,"title":74,"news_slug":75,"published_at":76},"4bb31ede-b9c4-4762-86ae-9d3b008557ca","Hugging Face Summer 2026 报告:Qwen 拿下 15 万衍生模型, GGUF 仓库一年涨 464%","hugging-face-state-of-open-models-summer-2026","2026-08-18T02:00:00+00:00",{"id":78,"title":79,"news_slug":80,"published_at":81},"aa4d3e55-383d-4855-9965-cc6a4d2e38a7","Qwen 下载量 6 个月破 30 亿:开源模型的「默认底座」第一次换成了中国厂商","qwen-3-billion-downloads-open-weights","2026-08-15T23:20:00+00:00",{"id":83,"title":84,"news_slug":85,"published_at":86},"b2c169c6-5150-4423-8073-bf480a2d8745","腾讯 UniPert-G2CP 登《Cell》主刊：把基因扰动和化学扰动塞进同一个语义空间","tencent-unipert-g2cp-cell-virtual-cell","2026-07-31T07:49:00+00:00"]