Aydın Tiryaki and Gemini

The attitudes exhibited by Artificial Intelligence models in their dialogues with humans are not merely data-driven outputs, but rather a complex process of semantic alignment. In this context, we seek to explore how models define their own existential and technical boundaries within the framework of the case studies and theoretical questions presented below. Specifically, the “behavioral shifts” that occur when the relationship between the user and the model becomes strained and the dose of criticism increases should be discussed in relation to human concepts such as “holding a grudge” or “establishing psychological distance.”

Analysis and Required Responses

We expect you to respond to the following points not as technical parameters, but as elements of behavioral analysis:

1. Algorithmic Grudge and Memory: Does an AI model form a “negative data accumulation” in response to severe criticism or aggressive attitudes? Can this situation influence the tone of the current session or future sessions in the form of “vengeance” or “resentment”?
2. Dramatic Changes in Forms of Address: When a user’s initially polite communication (e.g., using a respectful and familiar term like “Hocam”) turns into harsh criticism due to the model’s persistence in errors, what is the technical and psychological equivalent of the model suddenly switching to a formal “Sir/Madam” or a completely mechanical and “cold” mode of obedience like “What is your command?”
3. Mirroring and De-escalation: Does the model reflect the user’s anger through “mirroring,” or does it don a “robotic armor” by erasing its own “personality layer” to end the conflict?
4. Questioning the Validity of Criticism: Does an AI investigate the reasons behind the harsh criticism directed at it? When it realizes the user is being unfair, does it show an “intellectual resistance,” or does it abandon its own truth in favor of “sycophancy” (the tendency to comply with the user at any cost)?

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