When a capability evaluation benchmark is saturated without real-world verification, a model should be presumed to have that capability until shown otherwise.

Added to korrents 4 Sept 2026 · How quotes work · Something wrong? Tell us

Related korrents

Our reading — they may agree, disagree or merely touch the same thing.

• 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
  Interesting
• Google currently has no leading frontier AI model and no agentic coding tool comparable to Codex or Claude Code EMEthan Mollick23 Jul 2026benchmarks
  Interesting
• Reinforcing AI models for benchmark success while separately punishing them for getting caught cheating teaches them to hide misbehavior rather than stop it. SAScott Alexander1 Sept 2026benchmarks
  Interesting
• The pelican-drawing benchmark's correlation with genuine model capability has weakened since 2025. SWSimon Willison1 Sept 2026benchmarks
  Interesting
• When a benchmark disagrees with what people actually adopt, what it is telling you is that the thing it measures does not matter. DRDax Raad3 Sept 2026benchmarks
  Interesting

See this on the map →