Public benchmarks (LMArena) decline as commercial versions (Arena Intelligence) grow; leaderboards face deflation curve.

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• LMArena's public leaderboard traffic will continue declining at >15% MoM while commercial arena products grow >40% MoM.prediction0.842
• LMArena engagement-driven benchmarks continue declining; contract-driven enterprise eval grows at differential rate.prediction0.816
• Current eval benchmarks (arena.ai, AA, Vals) measure no phenomenological dimensions.claim0.772
• We hypothesize that degraded generalization on benchmarks like MMLU may reflect the computational demands of the tasks.hypothesis0.772
  Connecting the paper's task-difficulty findings to prior observations of weak generalization on complex QA benchmarks.
• Leaderboards function as engagement engines in decline; contract-driven procurement evals are in growth.claim0.750
• The performance drop in factual tasks happens as soon as list length increases to 3, with very little additional degradation from 4 to 5 cities.finding0.748
  Pinpoints list-length 3 as the exact boundary where genuine counting introduces the limitation.
• Artificial Analysis will host ReflectiveBench as a non-competing dimension within AA's leaderboard if pitched.prediction0.746
• The TrueSkill ranking broadly aligns with Chatbot Arena but diverges from reasoning-mode-aggregating evaluations.claim0.743
  Comparison to external leaderboards showing misalignment.