{
  "videos": [
    {
      "id": "ep89-reasoning-effort",
      "title": "推理强度怎么拉？读完 Anthropic 两篇官方文章搞懂推理强度！",
      "subtitle": "Effort · OpenAI · ChatGPT · Token · Claude · Anthropic · 聊点不同 E89",
      "category": "AI Architecture",
      "author": "聊点不同 Studio",
      "date": "2026-11-02",
      "duration": "10:32",
      "durationSec": 632,
      "resolution": "3840x2160 (4K UHD)",
      "size": "53.1 MB",
      "views": "42.8K",
      "src": "/videos/ep89-reasoning-effort.mp4",
      "poster": "/posters/poster-ep89.jpg",
      "tags": [
        "Anthropic",
        "Claude",
        "Reasoning Effort",
        "Extended Thinking",
        "Token Economics"
      ],
      "summary": "深度拆解 Anthropic 官方两篇关于 Extended Thinking 与 Effort 参数调节的技术长文，对比 OpenAI o系列与 Claude 混合推理模型的 Token 预算分配、边际收益递减曲线与工程落地策略。",
      "chapters": [
        {
          "time": 0,
          "label": "00:00 为什么『推理强度 (Effort)』成为大模型核心旋钮"
        },
        {
          "time": 115,
          "label": "01:55 Anthropic 第一篇官方研究：Test-Time Compute 缩放定律"
        },
        {
          "time": 260,
          "label": "04:20 串行思维链 vs 并行采样：Token 消耗的真相"
        },
        {
          "time": 410,
          "label": "06:50 第二篇实战指南：不同任务下的最佳 Effort 档位选择"
        },
        {
          "time": 530,
          "label": "08:50 开发者与重度用户的成本控制总结"
        }
      ]
    },
    {
      "id": "hyperflow-h3-flash",
      "title": "AI 漫剧生成教程！31B 模型被硬砍到 13.7B：HyperFlow H3 Flash 实测",
      "subtitle": "免费开源 · 本地部署生成速度飞快 · 剪枝与蒸馏实测效果深度评测",
      "category": "Open Source Lab",
      "author": "零度解说 Lab",
      "date": "2026-10-29",
      "duration": "03:41",
      "durationSec": 221,
      "resolution": "1920x1080 (1080p60)",
      "size": "52.8 MB",
      "views": "68.4K",
      "src": "/videos/hyperflow-h3-flash.mp4",
      "poster": "/posters/poster-h3.jpg",
      "tags": [
        "HyperFlow H3",
        "13.7B Pruning",
        "AI Animation",
        "Local Deployment",
        "ComfyUI"
      ],
      "summary": "从 31B 参数大幅结构化剪枝与步数蒸馏至 13.7B，HyperFlow H3 Flash 在消费级显卡上实现了极速漫剧分镜与连续帧生成。本期完整演示本地部署流程、显存占用曲线与多角色一致性实测。",
      "chapters": [
        {
          "time": 0,
          "label": "00:00 31B 到 13.7B：HyperFlow H3 Flash 架构瘦身亮点"
        },
        {
          "time": 52,
          "label": "00:52 本地环境一键部署与显存占用实测"
        },
        {
          "time": 118,
          "label": "01:58 漫剧连续分镜生成与提示词工作流"
        },
        {
          "time": 175,
          "label": "02:55 画质对比：13.7B Flash vs 原始 31B 全量模型"
        }
      ]
    },
    {
      "id": "ep87-huawei-five-brands",
      "title": "不造车却卖五界：荣耀、鼎桥、引望、问界，到底算不算华为？",
      "subtitle": "问界 · 尊界 · 尚界 · 享界 · 智界 · 鸿蒙智行商业版图全景解析 E87",
      "category": "Industry Deep-Dive",
      "author": "聊点不同 Studio",
      "date": "2026-10-18",
      "duration": "18:58",
      "durationSec": 1138,
      "resolution": "1920x1080 (1080p FHD)",
      "size": "53.6 MB",
      "views": "91.2K",
      "src": "/videos/ep87-huawei-five-brands.mp4",
      "poster": "/posters/poster-ep87.jpg",
      "tags": [
        "鸿蒙智行",
        "引望智能",
        "问界/尊界/享界",
        "汽车供应链",
        "商业模式"
      ],
      "summary": "沿着股权结构、渠道归属、品牌授权与核心技术底座四条主线，彻底厘清荣耀、鼎桥、引望以及鸿蒙智行『五界』（问界、智界、享界、尊界、尚界）与华为本体的真实边界。",
      "chapters": [
        {
          "time": 0,
          "label": "00:00 引言：『不造车』承诺下的五界扩张"
        },
        {
          "time": 185,
          "label": "03:05 历史镜像：从荣耀剥离到鼎桥模式"
        },
        {
          "time": 440,
          "label": "07:20 引望（Yinwang）独立：Tier 0.5 智能汽车底座"
        },
        {
          "time": 720,
          "label": "12:00 问界、智界、享界、尊界、尚界定位矩阵"
        },
        {
          "time": 960,
          "label": "16:00 消费者视角：买『界』字辈到底在买什么？"
        }
      ]
    }
  ]
}