聚焦强化学习环境与科学中的强化学习:数据铸造厂与多智能体架构。As we will show, the past several months have affirmed our thesis: major capability gains are coming from ramping RL compute. Pre-training continues to see further optimizations, but the lab’s are laser focused on scaling compute for RL.在长达 18 个月的时间里,OpenAI 模型性能的提升几乎完全由后训练以及强化学习算力的扩展所驱动。
聚焦强化学习环境与科学中的强化学习:数据铸造厂与多智能体架构。As we will show, the past several months have affirmed our thesis: major capability gains are coming from ramping RL compute. Pre-training continues to see further optimizations, but the lab’s are laser focused on scaling compute for RL.在长达 18 个月的时间里,OpenAI 模型性能的提升几乎完全由后训练以及强化学习算力的扩展所驱动。
聚焦强化学习环境与科学中的强化学习:数据铸造厂与多智能体架构。As we will show, the past several months have affirmed our thesis: major capability gains are coming from ramping RL compute. Pre-training continues to see further optimizations, but the lab’s are laser focused on scaling compute for RL.在长达 18 个月的时间里,OpenAI 模型性能的提升几乎完全由后训练以及强化学习算力的扩展所驱动。核心数据:在长达 18 个月的时间里,OpenAI 模型性能的提升几乎完全由后训练以及强化学习算力的扩展所驱动。
本报告由OpenAI发布,发布于 2026 年。
覆盖 2026 年,全文共 39 页。
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适合战略规划、产品经理等读者参考。
重点分析了智能体、化学、环境、数据铸造厂与多智能体架构等议题。