强化学习环境与科学强化学习：数据工厂与多智能体架构 --- RL Environments and RL for Science_ Data Foundries and Multi-Agent Architectures

JAN 07, 2026 2026 年 1 ⽉ 7 ⽇ ∙ PAID ∙ 付费内容 79 Share 分享 RL Environments and RL for Science: Data Foundries and Multi-Agent Architectures 强化学习环境与科学强化学习：数据⼯⼚与多智能 体架构 Worker Automation, RL as a Service, Anthropic's next big bet, GDPval and Utility Evals, Computer Use Agents, LLMs in Biology, Mid-Training, Lab Procurement Patterns, Platform Politics and Access Last June, we argued that scaling RL is the critical path to unlocking further AI capabilities. As we will show, the past several months have affirmed our ...