📄 中文摘要
在视觉智能的主流范式中,语义被视为潜在表示的静态属性,假设通过高维嵌入空间中的几何接近性可以发现意义。然而,这种观点在物理上是不完整的。研究提出,智能并非现实的被动镜像,而是一个物理可实现的代理的属性,该系统受限于有限的记忆、计算能力和能量,与高熵环境进行交互。通过观察语义纤维束的运动学结构形式化这种交互,其中原始感官观察数据(纤维)被投影到低熵因果语义流形(基底)上。研究证明,对于任何界限...
📄 English Summary
On the Dynamics of Observation and Semantics
A dominant paradigm in visual intelligence treats semantics as a static property of latent representations, assuming that meaning can be discovered through geometric proximity in high-dimensional embedding spaces. This perspective is argued to be physically incomplete. Intelligence is proposed as a property of a physically realizable agent, constrained by finite memory, computation, and energy, interacting with a high-entropy environment. This interaction is formalized through the kinematic structure of an Observation Semantics Fiber Bundle, where raw sensory observation data (the fiber) is projected onto a low-entropy causal semantic manifold (the base). The study proves that for any bound...
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等