The solution is trap-and-emulate, the same principle later generalized in hardware virtualization extensions. V86 mode adds a special rule: since V86 tasks always run at CPL=3, if the OS sets IOPL
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Nathan Lambert 是 Allen AI 研究所的科学家，博士毕业于加州大学伯克利分校，师从机器人领域的著名学者 Pieter Abbeel。他并非 RLHF 技术的发明者，但他写的《RLHF》这本开源书籍，如今是 AI 从业者理解大模型训练流程的标准参考材料之一。