feat: deepen Kimi K3 report guide

src/pages/index.astro

@@ -40,8 +40,8 @@ const paths = [
     label: "K3 反向拆解",
     title: "先看全貌，再沿组件回到每条技术祖先",
     text: "适合已经用过大模型、想迅速读懂 K3 报告的人。每个组件都能跳回其历史专题。",
-    steps: ["K3 三维信息流", "KDA 与 MLA", "Stable LatentMoE", "1M Agentic RL 与系统"],
-    time: "6–10 小时",
+    steps: ["32 张问题账", "KDA / MLA / AttnRes / LatentMoE", "预训练与 MOPD", "1M RL / 服务 / 评测"],
+    time: "10–16 小时",
     target: "能逐节解释 K3 技术报告",
   },
   {
@@ -126,6 +126,22 @@ const paths = [
 
   <section class="section compact release-section" id="new-chapters">
     <div class="release-grid">
+      <a class="release-card k3-release" href="/k3/">
+        <div>
+          <p class="eyebrow"><span>NEW / K3 ROUND 02</span> REPORT · FORMULA · SYSTEM · EVIDENCE</p>
+          <h2>47 页不再压成摘要：把 K3 的每个因果环节重新展开</h2>
+          <p>
+            用三十二张问题账逐节读完 KDA、Gated MLA、AttnRes、Stable LatentMoE、原生视觉、
+            预训练、九专家 MOPD、Agent 环境、FlashKDA / MoonEP、混合 prefix cache、评测与案例边界。
+          </p>
+        </div>
+        <dl>
+          <div><dt>REPORT</dt><dd>16 Figures · 5 Tables</dd></div>
+          <div><dt>NODES</dt><dd>100 个一手 / 官方节点</dd></div>
+          <div><dt>LAB</dt><dd>Delta · Decay · AttnRes · MoE · QB · RL · Cache</dd></div>
+        </dl>
+        <span class="release-arrow" aria-hidden="true">从报告目录进入完整因果链 →</span>
+      </a>
       <a class="release-card deepseek-release" href="/deepseek/">
         <div>
           <p class="eyebrow"><span>NEW / DEEPSEEK ROUND 02</span> CAPACITY · STATE · SYSTEM · REASONING</p>
@@ -615,6 +631,7 @@ const paths = [
       transition: transform 180ms ease, border-color 180ms ease;
     }
 
+    .k3-release,
     .deepseek-release,
     .representation-release,
     .inference-release,
@@ -639,6 +656,14 @@ const paths = [
         var(--paper-raised);
     }
 
+    .k3-release {
+      background:
+        radial-gradient(circle at 82% 16%, rgba(159, 91, 52, .28), transparent 31%),
+        radial-gradient(circle at 58% 74%, rgba(76, 118, 112, .22), transparent 30%),
+        repeating-linear-gradient(135deg, transparent 0 62px, rgba(159, 91, 52, .045) 62px 63px),
+        var(--paper-raised);
+    }
+
     .representation-release {
       background:
         radial-gradient(circle at 82% 18%, rgba(159, 91, 52, 0.22), transparent 31%),
@@ -785,6 +810,7 @@ const paths = [
         padding-bottom: 76px;
       }
 
+      .k3-release,
       .deepseek-release,
       .representation-release,
       .inference-release,