# MIND OS 1.05 : DATA CLASSIFICATION

> DECODING YOGA SŪTRA

**Published by:** [Amber | Mind OS](https://paragraph.com/@amberfxy/)
**Published on:** 2026-04-29
**URL:** https://paragraph.com/@amberfxy/mind-os-105-data-classification

## Content

The fluctuations of the mind-field are fivefold. They are either painful or non-painful. In the Mind OS environment, Vṛttis (fluctuations) are the primary data streams processed by the system. Before the signal can be stabilized, the incoming traffic must be classified. These five categories of data are not inherently “good” or “bad”. They are distinguished by their effect on system stability: Klēśa (distorting / binding) or Aklēśa (non-distorting / clear). A Klēśa process increases system disturbance and strengthens identity coupling. An Aklēśa process does not introduce distortion and allows the system to remain stable. The difference is not in the data itself, but in how it interacts with the system. वृत्तयः पञ्चतय्यः क्लिष्टाक्लिष्टा vṛttayaḥ pañcatayyaḥ kliṣṭākliṣṭāḥ — Yoga Sūtra 1.05数据分类 心念的波动共有五种。它们或是痛苦的，或是非痛苦的。 在 Mind OS 环境中，Vṛttis（波动）是系统处理的主要数据流。在信号稳定之前，必须先对进入的流量进行分类。这五种数据本身并无善恶之分，而是根据它们对系统稳定性的影响进行区分：Klēśa（扭曲 / 绑定的）或 Aklēśa（非扭曲 / 清晰的）。 Klēśa 进程会增加系统扰动，并强化身份绑定。Aklēśa 进程不会引入额外扰动，使系统能够保持稳定。 差异不在数据本身，而在它与系统的交互方式。 वृत्तयः पञ्चतय्यः क्लिष्टाक्लिष्टा vṛttayaḥ pañcatayyaḥ kliṣṭākliṣṭāḥ ——《瑜伽经》Yoga Sūtra 1.05

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