GPT-5.6 Sol 实现研究自动化——自动化研究员是否已经到来
openai 的 gpt-5.6 sol 模型仅通过一个简单的提示词，就自主完成了对较小模型 luna 的后训练，在递归自我改进基准上比前代高出 16.2 分。这标志着向自动化研究工作流的转变，可能会显著加速 ai 开发周期。
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.