如果说传统的 Transformer 是一个只有短期记忆的“单核处理器”，那么 HOPE 更像是一个符合神经科学原理的“双重记忆大脑”。它通过两个组件，复刻了类似生物大脑中海马体（Hippocampus）与大脑皮层（Cortex）的协作机制 。

“Transformer完全不能支撑我们下一步，尤其是在Agent时代走向下一步。”12月18日，90后AI大牛、阶跃星辰首席科学家张翔雨公布了自己最新的研究结论，直指当前AI领域核心架构Transformer的技术瓶颈。

Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works?

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