The right bar for an LLM evaluator is human-level performance, not perfect accuracy.

Added to korrents 20 Sept 2026 · How quotes work · Something wrong? Tell us

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• Language models perform better on benchmark problems released before their training data cutoff, indicating data contamination inflates scores. SRSebastian Ruder13 May 2024LLMsbenchmarks
• A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. NBNoam Brown26 Jun 2026benchmarks
• A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. DRDax Raad3 Sept 2026benchmarks
• A company's staff-engineer bar should be set against the best companies in the industry rather than against its own history, which is what makes title inflation a real cost. TPThuan Pham1 Apr 2026benchmarks
• A speed difference between languages that share the LLVM backend measures the benchmark author, not the languages. THThePrimeagen22 Mar 2025benchmarks

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