{
 "generated": "2026-11-05",
 "sha": "707df050bf85",
 "node": {
  "id": "ep:91",
  "type": "Episode",
  "name": "EP.91",
  "slug": "91",
  "ep": 91,
  "date": "2026-06-26",
  "page": "/buzzwords/91/",
  "n_models": 17,
  "window_from": "2026-06-19",
  "window_to": "2026-06-26",
  "window": "2026-06-19 → 2026-06-26",
  "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（2026-10-28 核对）：模型清单按本期页面当时写到的内容定，规格、价格、许可和可得性是 10-28 读取的一手页，可能与当期不同。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，模型卡指规格和许可类事实来自 HF 卡或官方文档本身，独立指第三方榜单或媒体实测。各类按窗口内的在前、边界日和背景的在后排。 GLM-5.2 与 Claude Fable 5 / Mythos 5 在 EP.90 里也列了，同一个 id，内容一致，只有标记不同。",
  "excluded": "没有列入的，以及原因。核过、不是新模型：Gemini 3.5 Flash 的原生 computer use（06-24 官方稿写的是“computer use 成为 Gemini 3.5 Flash 的内置工具”，是现有模型的新功能，不是新版本）；OpenAI 滚更的 GPT-5.5 Instant（旧模型的小修订）。核过、没有一手发布页，所以不列：微软 FastContext-1.0（4B 仓库探索子 Agent；页面引的是 smol.ai 转述的 Reddit 帖。微软的 HF 仓库 microsoft/FastContext-1.0-4B-SFT / -RL 和 GitHub microsoft/fastcontext 本刊 10-28 读取时都打不开（HF 返回 401/404，GitHub 返回 404），第三方 AI/TLDR 页面写发布在 06-15，早于窗口，规格和许可无从核）。页面里提到、但不是模型本体：OpenThoughts-Agent（数据配方和消融，没核到权重发布）、DeepMind ATLAS（自动化科研系统）、Seedance 2.5（页面自己写了“announced 非 released”，ByteDance Seed 官网显示 07-31 才发布）、腾讯“小微”（微信里的 AI 助手产品，页面写自研 WeLM，没有发布信息）、Jalapeño、TPU 8i、Maia 200（芯片）、Engram（公司走出隐身，没有模型）、LiteParse（无 VLM 的解析库，是软件）、Google TurboQuant（量化方法）、OpenRouter Fusion 与 Self-Harness 等（框架或方法）。只在对比或引用里出现：Opus 4.8、DeepSeek V4 / V4-Pro（Lindy 迁移流量的故事）、GPT-5.5、GPT-Realtime-2、Grok Voice、Deepslate Opal（AA 语音榜单）。 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": 10,
  "title": "封禁正在重画 AI 全栈",
  "oneliner": "封禁重画 AI 全栈 · 消费端破圈 · 全栈去依赖 · 安全夺旗 · 认知衰退 · 200+ 信号",
  "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": 3,
  "n_topics": 0,
  "n_items": 201,
  "n_sections": 1,
  "n_dispatch": 201,
  "degree": 0,
  "n_entities": 116,
  "scale": "3 个故事线 / 专题 · 201 个条目 · 讲到 116 个实体"
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