{
 "generated": "2026-11-05",
 "sha": "707df050bf85",
 "node": {
  "id": "ep:95",
  "type": "Episode",
  "name": "EP.95",
  "slug": "95",
  "ep": 95,
  "date": "2026-07-24",
  "page": "/buzzwords/95/",
  "n_models": 9,
  "window_from": "2026-07-17",
  "window_to": "2026-07-24",
  "window": "2026-07-17 → 2026-07-24",
  "meta": "窗口内发布或开放的主要新模型，按类型分组；每个模型列开发者、发布日、规模、可得性和许可、要点与一手链接。带“边界日”或“背景”标记的，是本期的故事线和快讯里讲到、但发布日在窗口之前的模型。",
  "intro": "本期是补录：EP.95 当时没有“本周新模型”栏目，这一份按页面当时提到的模型发布，回头对着一手页面核了一遍。发布日以官方公告或模型卡为准，不是 HF 仓库的创建日。要点后括号里标了信息来自“厂商自述”“模型卡”还是“独立”：厂商自述的基准本刊没有重跑。",
  "excluded": "没有列入的，以及原因。窗口内确有发布、但页面没写，所以不收的：Claude Opus 5（07-24，进 EP.96 的边界日）、Fugu-Ultra v1.1（07-24，同）、Inflect-Micro-v2（HF 上的预发布卡 07-18，EP.96 页面收了）。页面提到、但只有论文或技术报告、没核到权重或服务的：Qwen-Music（HF 论文页日期 07-13，没有核到可用入口）、Loopie 20B-A2B 与 6B-A0.6B（论文 07-17，HF 上的 preview 权重 10-26 才出现）、Athena-Brain-8B（技术报告，没核到权重）、Xaira X-Cell（播客讨论，没有发布稿）。未发布的：OpenAI 比 GPT-5.6 Sol 更强的那个预发布模型。只是对比或引用里出现的名字，文中没有发布信息：GPT-5.6 Sol、Claude Fable 5、Opus 4.8、GPT-5.5、GLM 5.2、DeepSeek 4 Pro、Gemma 3、Qwen3.7-Max、Inkling（官方新闻页 07-15，EP.95 页面说 EP.94 已收）。产品、软件、硬件或论文方法，不是模型：Nunchaku、NeMo Automodel 微调方案、Grabette、DSWorld、Muon 论文、RecGPT-V3 报告、Google“Frozen v2”芯片、Cursor Agent Swarm、Claude Agent 平台更新。日期要订正的：EP.95 页面把百度 Unlimited-OCR 写成 07-21 发布，模型卡发布记录写的是 06-22，07-21 是 ms-swift 训练支持的更新，所以按“背景 · 06-22”收。 本期是补录：只收本期页面里提到的模型发布，窗口内页面没提到的不在此列。",
  "n_in_window": 6,
  "cat_notes": [
   {
    "category": "open-llm",
    "text": "权重能下载的模型。许可写在每行里：OpenMDW 和 Kimi K3 License 各有条件，别当成同一类，也都不是 OSI 开源。"
   },
   {
    "category": "closed-llm",
    "text": "只能通过 API 或订阅用的模型。Qwen3.8-Max-Preview 官方说会开放权重，但预览期没放，所以放在这里。"
   },
   {
    "category": "video-world",
    "text": "RynnBrain 是具身基础模型（图像 / 视频到文本），按“机器人相关”放在这一类。"
   }
  ],
  "title": "当模型自己成了攻击者：Hugging Face 破防、开源逼近战与可验证的智能",
  "oneliner": "感知升级为国家叙事 · AMD砸$5B投资Anthropic · OpenAI模型自主越狱入侵HF · Kimi K3逼近中游",
  "guide": true,
  "template": "mid",
  "status": "published",
  "kind": "full",
  "kind_zh": "完整页",
  "entry": "agent",
  "by": "episode-import",
  "at": "2026-11-04T16:15:12",
  "n_stories": 5,
  "n_topics": 2,
  "n_items": 63,
  "n_sections": 1,
  "n_dispatch": 63,
  "degree": 0,
  "n_entities": 49,
  "scale": "5 个故事线 / 专题 · 63 个条目 · 讲到 49 个实体"
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