Update app/src/content/embeds/fig-training-curated-labs.html

app/src/content/embeds/fig-training-curated-labs.html

@@ -65,7 +65,6 @@
     cursor: default;
   }
   .curated-embed .link.alleged { stroke-dasharray: 7 5; }
-  .curated-embed .link.historical { stroke-dasharray: 1.4 4; stroke-opacity: 0.55; }
   .curated-embed .link.highlighted { stroke-opacity: 1; stroke-width: 2.8; }
 
   .curated-embed .legend {
@@ -85,7 +84,6 @@
   .curated-embed .legend-dot { width: clamp(7px, 0.7vw, 9px); height: clamp(7px, 0.7vw, 9px); border-radius: 0; display: inline-block; flex-shrink: 0; }
   .curated-embed .legend-line { display: inline-block; width: 22px; height: 0; border-top: 2px solid #1e293b; flex-shrink: 0; }
   .curated-embed .legend-line.dashed { border-top-style: dashed; }
-  .curated-embed .legend-line.dotted { border-top-style: dotted; }
   .curated-embed .legend-sep { width: 1px; height: 22px; background: #cbd5e1; align-self: center; }
   .curated-embed .legend-item.filter { cursor: pointer; user-select: none; padding: 3px 6px; border-radius: 6px; transition: background 0.15s ease, opacity 0.15s ease; }
   .curated-embed .legend-item.filter:hover { background: rgba(15, 23, 42, 0.05); }
@@ -155,7 +153,6 @@
       const EVIDENCE_META = {
         "confirmed": { label: "confirmed", dashClass: "" },
         "alleged": { label: "alleged / rumored", dashClass: "dashed" },
-        "historical": { label: "historical / weak", dashClass: "dotted" },
       };
 
       // Curated lab → training-chip relationships (author-classified, not derived
@@ -180,15 +177,15 @@
         "chips": [
           { "id": "google_tpu", "name": "Google TPU", "country": "US" },
           { "id": "nvidia", "name": "NVIDIA", "country": "US" },
+          { "id": "amd", "name": "AMD", "country": "US" },
           { "id": "alibaba_thead", "name": "Alibaba T-Head", "country": "China" },
           { "id": "baidu_kunlun", "name": "Baidu Kunlun", "country": "China" },
-          { "id": "chinese_chips", "name": "Chinese chips", "country": "China" },
+          { "id": "chinese_chips", "name": "Undisclosed Chinese chips", "country": "China" },
           { "id": "huawei_ascend", "name": "Huawei Ascend", "country": "China" },
           { "id": "undisclosed", "name": "Undisclosed", "country": "Undisclosed" }
         ],
         "edges": [
           { "lab": "Alibaba", "chip": "nvidia", "evidence": "alleged" },
-          { "lab": "Alibaba", "chip": "google_tpu", "evidence": "alleged" },
           { "lab": "Alibaba", "chip": "alibaba_thead", "evidence": "alleged" },
           { "lab": "Baidu", "chip": "nvidia", "evidence": "confirmed" },
           { "lab": "Baidu", "chip": "baidu_kunlun", "evidence": "confirmed" },
@@ -200,12 +197,13 @@
           { "lab": "Tencent", "chip": "nvidia", "evidence": "confirmed" },
           { "lab": "Tencent", "chip": "huawei_ascend", "evidence": "confirmed" },
           { "lab": "Tencent", "chip": "chinese_chips", "evidence": "alleged" },
-          { "lab": "Xiaomi", "chip": "undisclosed", "evidence": "historical" },
+          { "lab": "Xiaomi", "chip": "undisclosed", "evidence": "alleged" },
           { "lab": "Zhipu", "chip": "nvidia", "evidence": "confirmed" },
           { "lab": "Zhipu", "chip": "huawei_ascend", "evidence": "confirmed" },
           { "lab": "Google", "chip": "google_tpu", "evidence": "confirmed" },
           { "lab": "Google", "chip": "nvidia", "evidence": "confirmed" },
           { "lab": "Meta", "chip": "nvidia", "evidence": "confirmed" },
+          { "lab": "Meta", "chip": "amd", "evidence": "confirmed" },
           { "lab": "Microsoft", "chip": "nvidia", "evidence": "confirmed" },
           { "lab": "NVIDIA Research", "chip": "nvidia", "evidence": "confirmed" },
           { "lab": "Poolside", "chip": "nvidia", "evidence": "confirmed" },
@@ -228,7 +226,7 @@
 
       const dataset = enrich(RAW);
       const activeCountries = new Set(["US", "China", "EU"]);
-      const activeEvidence = new Set(["confirmed", "alleged", "historical"]);
+      const activeEvidence = new Set(["confirmed", "alleged"]);
       let _hover = { type: null, value: null };
 
       // ─── Grid visibility ────────────────────────────────────────────────────
@@ -303,7 +301,7 @@
         // Evidence filters
         const evSection = root.append("div").attr("class", "legend-section");
         const evRow = evSection.append("div").attr("class", "legend-row");
-        ["confirmed", "alleged", "historical"].forEach((k) => {
+        ["confirmed", "alleged"].forEach((k) => {
           const meta = EVIDENCE_META[k];
           const item = evRow.append("span")
             .attr("class", "legend-block legend-item filter")
@@ -363,8 +361,8 @@
         const leftLabelPad = 6;
         const longestLabName = d3.max(labs, (l) => l.name.length) || 12;
         const longestChipName = d3.max(chips, (c) => c.name.length) || 12;
-        const labLabelWidth = Math.min(132, longestLabName * 5.6 + 8);
-        const chipLabelWidth = Math.min(120, longestChipName * 5.8 + 10);
+        const labLabelWidth = Math.min(150, longestLabName * 6.6 + 10);
+        const chipLabelWidth = Math.min(200, longestChipName * 6.6 + 12);
 
         const maxLabDeg = d3.max(labs, (l) => l.degree) || 1;
         const maxChipDeg = d3.max(chips, (c) => c.degree) || 1;
@@ -377,8 +375,9 @@
         const bottomPad = Math.max(26, maxChipR + 14);
 
         const rightEdgePad = 10;
-        const leftColX = labLabelWidth + leftLabelPad + 4;
-        const rightColX = width - chipLabelWidth - maxChipR - rightEdgePad - 4;
+        const edgeNodePad = 2; // extra breathing room outside the outer nodes
+        const leftColX = labLabelWidth + leftLabelPad + 4 + edgeNodePad;
+        const rightColX = width - chipLabelWidth - maxChipR - rightEdgePad - 4 - edgeNodePad;
 
         const labVisible0 = (d) => activeCountries.has(d.country)
           && (!edges.some((e) => e.lab === d.name)
@@ -395,14 +394,14 @@
         initialChips.forEach((c, i) => { c._y = initialChips.length > 1 ? topPad + i * initChipStep : topPad + vRange / 2; });
         labs.filter((l) => !labVisible0(l)).forEach((l) => { if (l._y == null) l._y = topPad + vRange / 2; });
 
-        svg.append("text").attr("class", "col-header").attr("x", rightEdgePad).attr("y", colHeaderY).attr("text-anchor", "start").text("AI LABS (BY HQ COUNTRY)");
-        svg.append("text").attr("class", "col-header").attr("x", width - rightEdgePad).attr("y", colHeaderY).attr("text-anchor", "end").text("TRAINING-CHIP PLATFORMS");
+        svg.append("text").attr("class", "col-header").attr("x", leftColX).attr("y", colHeaderY).attr("text-anchor", "middle").text("AI LABS (BY HQ COUNTRY)");
+        svg.append("text").attr("class", "col-header").attr("x", rightColX).attr("y", colHeaderY).attr("text-anchor", "middle").text("TRAINING-CHIP PLATFORMS");
 
         const labByName = new Map(labs.map((l) => [l.name, l]));
         const chipById = new Map(chips.map((c) => [c.id, c]));
 
-        // Render dotted → dashed → solid so confirmed sits on top
-        const evOrder = { "historical": 0, "alleged": 1, "confirmed": 2 };
+        // Render dashed → solid so confirmed sits on top
+        const evOrder = { "alleged": 0, "confirmed": 1 };
         const sortedEdges = edges
           .filter((e) => labByName.has(e.lab) && chipById.has(e.chip))
           .sort((a, b) => (evOrder[a.evidence] || 0) - (evOrder[b.evidence] || 0));