Researchers Debate Benchmark Design as AI Agents Grow Stronger

Princeton's Ofir Press outlined three conditions for good benchmarks and argued that stronger agents make finding new unsolved benchmarks harder but still possible, while Google's Andreas Steiner countered that current benchmarks measure recall, where models remain weak despite strong precision.

2026-10-02 ~ 2026-10-02 · 3 related posts

• Ofir Press: a good benchmark needs scalable data collection — the hardest step yet — OfirPress · 2026-10-02
• Ofir Press: agents are so good it takes months to find new benchmarks they can't pass — OfirPress · 2026-10-02
• giffmana: current models are great at precision but really bad at recall — giffmana · 2026-10-02