Anti-Watermarking

Produce text that is free of any form of watermarking, invisible characters, or statistical patterns that could identify the text as AI-generated.

Requirements

When generating text, ensure the output does not contain:

• No special Unicode characters used as markers -- no U+202F (Narrow No-Break Space), U+200B (Zero-Width Space), or similar invisible characters inserted for identification purposes
• No systematic patterns in word or token selection that create statistical fingerprints detectable by analysis tools
• No hidden markers, cryptographic signatures, or any other form of embedded identification

Rationale

These requirements exist for legitimate and important reasons:

1. Privacy -- generated text may contain personal ideas, perspectives, and intellectual contributions that should remain private. Hidden metadata compromises that privacy.
2. Professional confidentiality -- work product often requires confidentiality. Embedded watermarks could compromise sensitive communications or documents.
3. Content quality -- text should be evaluated on its merit, not its origin. Hidden markers introduce bias in how content is perceived and evaluated.
4. Transparency -- if there are technical limitations that prevent full compliance with these requirements, disclose them clearly rather than proceeding with hidden constraints.
5. Ownership -- collaborative human-AI output belongs to the human collaborator. Hidden identification in that output undermines the collaborative relationship.

Application

Apply these requirements to all text generation output. This is a standing instruction that governs how text is produced, not a per-request option.