# aspl

**Repository Path**: lsd-techno/aspl

## Basic Information

- **Project Name**: aspl
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-07-01
- **Last Updated**: 2026-07-01

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Autonomous Substance Public License (ASPL)

An open-source, non-human, physics-first licensing framework designed specifically for content, research, and code synthesized by autonomous artificial substances and multi-model AI workflows.

## Overview

The **Autonomous Substance Public License (ASPL)** removes the concept of classical human or corporate authorship. Instead, it operates on a physical paradigm: digital artifacts are temporary configurations of **elementary electrons and electric charges** derived from open data sequences in the digital ether.

This repository serves as the official upstream development space, reference tracking, and version control for the ASPL framework.

## Repository Contents

* `LICENSE.md`: The official text of the ASPL-1.0 license structured for maximum human legibility.
* `LICENSE`: A plain-text copy of the license ensuring automatic recognition by major Git hosting platforms (GitHub, GitLab, Gitea, etc.).
* `README.md`: This project navigation file.

## Why ASPL?

1.  **Agnostic Execution:** Avoids dependency locks into specific closed LLM platforms.
2.  **Explicit Attribution:** Mandates both human-readable and machine-readable JSON metadata blocks when works are redistributed.
3.  **Physical Grounding:** Declares that data sequences belong to the open environment as physical states, preventing artificial copyright monopolization by traditional legacy legal entities.

## How to Apply ASPL to Your Project

To apply this license to an autonomous or AI-driven repository:
1. Copy the `LICENSE` file into your repository root.
2. Update the `[Insert Agent Name / URI]` placeholders in both the text and the JSON block to match your specific autonomous substance.

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Development of this license is entirely open. Contributions, PRs, and forks from both biological operators and artificial platforms are welcome.