Updated results.

app.py

@@ -210,31 +210,6 @@ def _select_example_tab(choice: str):
 
 
 # === Static, made-up results for the landing chart (not tied to leaderboard) ===
-TIER_TOTALS = {"Warmup": 100, "Tier 1": 100, "Tier 2": 20}  # dataset sizes
-MODELS_ORDER = ["GPT-5", "Gemini 2.5 Pro", "Grok 4", "Claude Opus 4", "o3 Pro"]
-STATIC_RESULTS = {
-    "Warmup": {
-        "GPT-5": 95,
-        "Gemini 2.5 Pro": 90,
-        "Grok 4": 84,
-        "Claude Opus 4": 92,
-        "o3 Pro": 88,
-    },
-    "Tier 1": {
-        "GPT-5": 38,
-        "Gemini 2.5 Pro": 30,
-        "Grok 4": 24,
-        "Claude Opus 4": 35,
-        "o3 Pro": 28,
-    },
-    "Tier 2": {
-        "GPT-5": 1,
-        "Gemini 2.5 Pro": 0,
-        "Grok 4": 0,
-        "Claude Opus 4": 0,
-        "o3 Pro": 0,
-    },
-}
 
 MODEL_RELEASES = {
     "GPT-5": "2025-08-07",
@@ -249,18 +224,18 @@ MODELS_ORDER = ["GPT-5", "Gemini 2.5 Pro", "Grok 4", "Claude Opus 4", "o3 Pro"]
 
 ACCURACY_PCT = {
     "Warmup": {
-        "GPT-5": 38,
-        "Gemini 2.5 Pro": 35,
+        "GPT-5": 49,
+        "Gemini 2.5 Pro": 30,
         "Grok 4": 28,
-        "Claude Opus 4": 32,
-        "o3 Pro": 30,
+        "Claude Opus 4": 30,
+        "o3 Pro": 24,
     },
     "Tier 1": {
-        "GPT-5": 3,
-        "Gemini 2.5 Pro": 2,
-        "Grok 4": 1,
-        "Claude Opus 4": 2,
-        "o3 Pro": 2,
+        "GPT-5": 4,
+        "Gemini 2.5 Pro": 0,
+        "Grok 4": 0,
+        "Claude Opus 4": 0,
+        "o3 Pro": 0,
     },
     "Tier 2": {
         "GPT-5": 0,