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I’ve received one of AMD’s first official AI developer boxes for testing, and it’s an impressive piece of AI hardware with a ...

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When we think of 1960s synthesizers it’s usual to imagine instruments with vast arrays of controls and patch cables for configuring their many filters, oscillators, and other parameters. They created ...

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哥德尔智能体框架实现了任务策略和元学习算法的同步演化，使多智能体能够探索更广阔的架构设计空间。该研究证明了哥德尔智能体能够通过自指进行递归自我改进，大幅提升复杂推理任务的性能，为突破现有多智能体设计的性能天花板提供了一种全新的范式。而当AI掌握了自我修改的能力，传统基于预设规则的对齐将彻底失效。 我们必须学会在复杂适应系统的层面，以进化的视角去理解和约束AI。