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。

Sakana AI has opened a Recursive Self-Improvement Lab to test whether AI systems can help redesign and optimize future AI systems, a bet aimed at reducing frontier AI’s dependence on brute-force ...

“You are tasked with writing a sophisticated, technically grounded article for HackerNoon that argues for recursive prompt engineering—where LLMs generate their own optimized prompts before executing ...

Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...

Here’s an easy-to-follow guide to solve hierarchical data traversal issues in Spark using GraphFrames, along with some alternative methods to improve performance. If you’re working with hierarchical ...

Recursion is the process in which a function calls itself directly or indirectly. The corresponding function of recursion is called the recursive function. Some examples of recursion include DFS of ...

We propose recursive cascaded networks, a general architecture that enables learning deep cascades, for deformable image registration. The proposed architecture is simple in design and can be built on ...