Socratic Method and Anti-Socratic Method v2.2 — Differential Implementation Log Across Distinct AI Environments —

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Authors: Y Seo
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Abstract

Credit Author: Y. Seo (@momotarou / Japan)Role: Metanist — Human × AI Understanding ArchitectAI Collaboration: AI Understanding SupportORCID: https://orcid.org/0009-0005-7669-0612 Body This document records v2.2, a differential implementation logobserving how the leadership-circulation framework documented in v2.1behaves when applied to a different AI environment. This implementation does not evaluate or rank AI capabilities.The sole object of observation is how identical initiative placementoperations elicit different behaviors across environments. Observed differences include: Variations in initial response posture to questions(immediate optimization, exploratory engagement, explicit holding) Degrees of compliance when initiative is retained on the human side Differences in speed, tone, and structuring pressurewhen switching to the Anti-Socratic mode Variability in the AI’s tendency to “fill gaps”when imperfect understanding is allowed These differences do not indicate superiority or inferiority. Instead, they reveal how the same operational inputinteracts with environment-specific optimization biases. Notably, in some environments, questions function primarilyas forward-driving mechanisms,while in others, a strong pull toward summarization, normalization,or closure is observed. This is not a flaw.It is the exposure of environment-specific bias under identical control conditions. v2.2 positions the framework as an operable structurethat does not rely on a single AI’s characteristics,but remains functional while absorbing and revealing differencesacross environments. Protective Note This document does not aim to compare or rank AI environments or models. Recorded differences represent observed responses to identical operations. This text is fixed as a differential implementation log and does not revise v2.1. Future versions may log additional differences across further AI environments.

Fields of Study & Subjects

Ethics and Social Impacts of AI Artificial Intelligence Applications Cybernetics and Technology in Society

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
29 January 2026
Language
EN