Morning Edition · Friday, June 26, 2026
Papers Ask What to Do After a Benchmark Saturates and How to Tell Knowing From Guessing
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…
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- Agents Become the First Real Economic Test of the AI Buildout
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- MindOn Shows a Single Model Controlling Robots of Different Body Types
- Unitree Prices a Humanoid Robot From 4,900 Dollars
- New Interpretability Work Locates Sycophancy and Refusal in the Same Activation Geometry
- A New Benchmark Tests Whether AI Agents Can Actually Secure Smart Contracts
- Study Finds Standard Post-Training Can Erode Values Instilled During Pretraining
- Anthropic Pushes Policy Proposals Built Around an AI Capability Curve It Calls Exponential
- Survey Data Show Gen Z Both the Heaviest AI Users and the Most Skeptical
- Researchers Propose Turning Editing Models' Own Moderation Filters Into a Defense