English(EN) Semantic Substrate Dynamics Theory: An Operator-Theoretic Framework for Geometric Semantic Drift

新理论将人工智能语义漂移信号与几何框架相结合

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-25 04:00

提出了一种名为语义基底动力学理论（SSDT）的新理论框架，用于统一人工智能模型中语义漂移的各种信号。该理论将语义漂移建模为时间索引基底的可观测现象，该基底将嵌入几何与局部扩散核联系起来。SSDT区分了内部模型变化和外部影响，使用粗糙Ricci曲率等概念来描述嵌入图的结构并预测模型的未来行为。 AI

影响为理解和潜在缓解人工智能模型中的语义漂移提供了理论框架。

排序理由该集群包含一篇在arXiv上发表的研究论文，详细介绍了理解人工智能语义漂移的新理论框架。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Stephen Russell · 2026-08-25 04:00

语义基底动力学理论：几何语义漂移的算子理论框架

arXiv:2602.18699v2 Announce Type: replace-cross Abstract: Studies of semantic drift report heterogeneous signals, including embedding displacement, neighbor change, distributional divergence, and recursive trajectory instability, without a shared account that relates them. Semant…