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This page (revision-3) was last changed on 20-Apr-2026 09:45 by 88.210.36.109

This page was created on 20-Apr-2026 09:42 by 88.210.36.109

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在智能涌现的十字路口，我们不应仅依赖于少数超大规模数据中心的“黑盒”模型。我们发起**“亚当计划” (Project Adam)，旨在通过全球去中心化节点的协同**，利用增量预训练 (Incremental Pre-training) 技术，构建一个逻辑透明、能力可持续扩张的通用人工智能体系。
在智能涌现的十字路口，我们不应仅依赖于少数超大规模数据中心的“黑盒”模型。我们发起__“亚当计划” (Project Adam)，旨在通过全球去中心化节点的协同__，利用增量预训练 (Incremental Pre-training) 技术，构建一个逻辑透明、能力可持续扩张的通用人工智能体系。
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扩张处理逻辑 (EPL)： 放弃固定维度的传统架构。采用 EPL 机制，允许模型根据任务复杂度动态开辟认知空间，解决“本征维度坍缩”导致的特征纠缠问题。
扩张处理逻辑 (EPL)： 放弃固定维度的传统架构。采用 EPL 机制，允许模型根据任务复杂度动态开辟认知空间，解决“内在维度坍缩”导致的特征纠缠问题。
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