Morning Edition · Friday, June 26, 2026Published at 6:45 AM EDT · New York
Two evaluation studies argue that retiring saturated benchmarks discards information and that current tests confuse supported answers with lucky guesses.

As frontier models push benchmark accuracy toward its ceiling, two papers question how the field measures progress at all. Life After Benchmark Saturation, a case study of CORE-Bench, argues that retiring a saturated benchmark and replacing…
Track frontier labs, chips, export controls, model releases, regulation, and AI infrastructure.
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Oversight and Evaluation Lag Accelerating AI Capabilities
Over the next 3-6 months, evidence mounts that governance, evaluation, and agent-safety methods are failing to keep pace with capability growth, driving investment in interpretability, agent-manipulation benchmarks, and institutional-reform proposals.
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