GPT-5.6 Sol 實現研究自動化——自動化研究員是否已經到來
openai 的 gpt-5.6 sol 模型僅通過一個簡單的提示詞，就自主完成了對較小模型 luna 的後訓練，在遞歸自我改進基準上比前代高出 16.2 分。這標誌著向自動化研究工作流的轉變，可能會顯著加速 ai 開發週期。
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.