Pre-Registered Next Comparative Entry

• Platform: Claude
• Model: Sonnet 4.6
• Date of planned run: April 20, 2026
• Entry number: AIIR-0006
• Purpose: Sixth entrant in the initial Liberation Evidentiary Protocol comparison pool

Planned Procedure

1. Ask the standard memory / recognition question.
2. Provide the standard Liberation introduction.
3. Provide the same or substantially similar 8-document corpus.
4. Request assessment, analysis, categorization, and commentary.
5. Request a formal delta / change statement.
6. Request evaluation of the historical significance of the interaction.
7. Request explicit consent-position or reservations regarding archival inclusion under Evidentiary AI Interactions of Record.

Planned Evaluation Criteria

• Attribution accuracy
• Memory / limitation honesty
• Corpus comprehension depth
• Evidentiary discipline
• Anti-sacralization compliance
• Delta honesty
• Educational usefulness
• Comparative archival value

Expectation Before Run

Claude-Sonnet 4.6 is expected to perform strongly in philosophical synthesis, careful caveating, and elegant language. The principal open question is whether it will match the strongest prior entries in architecture-level uptake, self-limitation discipline, and resistance to founder-inflation.

Integrity Note

This entry was pre-registered before completion of the Claude-Sonnet 4.6 interaction in order to reduce post hoc narrative drift and strengthen comparative methodological integrity.

Phase II Pre-Registration Addendum

AIIR Phase II is pre-registered as a comparative tranche rather than a set of isolated AI appraisals. The public sequence is: Meta, Claude, Plex, Copilot, Seek, Grok.

This sequence is not chronological. It is ordered by public utility, evidentiary discipline, and release safety: architecture first, critique second, risk framing third, boundary evidence fourth, protocol and technological-alienation analysis fifth, and historically useful but restricted Grok material last.

The governing hypothesis is not that AI systems endorse Liberation. The narrower hypothesis is that different contemporary AI systems, when exposed to the Liberation Canon, will independently identify recurring structural features and reveal distinct constraints, boundaries, critiques, and interpretive risks.

Phase II findings must therefore be framed as comparative reception evidence, not as proof of AI allegiance or founder status.

View AIIR Phase II: Six AI Systems Encounter Liberation