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Auto Research Era: 47 Tasks Without Standard Answers Become the Definitive Benchmark for Agent Capabilities

Frontier-Eng Bench, released by Navers Lab under Einsia AI, introduces 47 interdisciplinary engineering tasks without standard answers, forcing AI agents to iteratively optimize in a closed-loop process. Results show power-law decay in improvement frequency and magnitude, highlighting the importance of deep iteration over parallel attempts.

Source量子位Author: 思邈
Auto Research Era: 47 Tasks Without Standard Answers Become the Definitive Benchmark for Agent Capabilities
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Key points

  • Frontier-Eng Bench features 47 open-ended engineering tasks from robotics to quantum circuits.
  • Agents must propose solutions, run simulators, receive feedback, and modify parameters iteratively.
  • Improvement frequency and magnitude follow power-law decay; deep iteration outperforms parallel chains.

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