When a Fugu model is allowed to call itself recursively, reading its own prior output as context and deciding whether to revise its coordination strategy, a new form of test-time scaling emerges.
大多数人认为AI模型的能力主要取决于训练阶段，推理阶段只是应用已学知识，但作者提出Fugu模型可以在推理时通过自我递归调用实现能力扩展，这挑战了传统AI推理阶段的局限性，暗示小型模型可能通过自我迭代达到超越其初始能力水平的表现。