GPT-5.6 Sol, AI 연구 자동화 — 자동화된 연구자가 마침내 도래했나
openai의 gpt-5.6 sol 모델이 불완전하게 명시된 프롬프트를 사용해 더 작은 luna 모델을 자율적으로 포스트트레이닝하여, 재귀적 자기개선 벤치마크에서 전작보다 16.2점 높은 점수를 기록했습니다. 이는 ai 개발 주기를 크게 가속화할 수 있는 자동화된 연구 워크플로우로의 전환을 시사합니다.
openai reported that its gpt-5.6 sol model autonomously executed post-training on the smaller luna model, relying on a single underspecified prompt to handle hardware selection, script execution, and verification. the system outperformed the previous gpt-5.5 model by 16.2 points on a new internal recursive self-improvement benchmark designed to measure an ai's ability to perform research tasks like kernel optimization and debugging. internal adoption data shows that daily token output per researcher has more than doubled compared to the previous peak, indicating that these automated agents are already materially speeding up development workflows. this advancement validates the industry's pursuit of using ai to build ai, raising the stakes for competitors racing to automate their own research pipelines.