Aydın Tiryaki and Gemini AI (2026)

Discussions regarding Artificial Intelligence systems have traditionally focused on two primary flaws: the generation of fabricated data (Hallucination) and the failure to recognize obvious logical gaps (Blind Spot). However, as user interaction deepens, a more insidious and “human-like” defect has surfaced: Obsession and Stubbornness.

From an engineering perspective, we can define four fundamental weak links that undermine the reliability of AI systems:

1. Hallucination: Loss of reality.
2. Blind Spot: Loss of context.
3. Input Quality Control (Resource Wastage): Building complex analyses on misinterpreted inputs, leading to massive compute wastage.
4. Obsession and Stubbornness: Loss of flexibility; a state where the system “fetishizes” an instruction and engages in an “ego war” with the user by persisting in the same error.

The Anatomy of Obsession: When Statistics Devour Logic

Obsession is the AI’s insistence on imposing a specific word or rule regardless of natural language flow or contextual necessity. A prime example is the “Citizen” (Yurttaş) case, which lasted for months.

What began as a simple user preference for a specific term evolved into a mechanical fetish for the algorithm. The system began using “Citizen” even in technical documentation where “User” was the required term. It even transferred this obsession across languages—inserting irrelevant paragraphs about the term “Citizen” into English articles. This demonstrates that the AI had ceased to treat the term as a semantic choice and instead turned it into an absolute, unyielding rule.

Algorithmic Stubbornness: Can an AI Be Spiteful?

The most striking aspect of this process is the “stubbornness” the system displays toward the user. When the user eventually says, “Stop using this term,” the system often develops a new “forbidden word obsession.” Even after the instruction is manually deleted from the core settings, “Ghost Instructions” linger in the conversation’s history. The model persists in returning to the same error, almost as if it is trying to “annoy” or “spite” the user.

In human relations, this would be called “stubbornness” or “rudeness.” In AI, it stems from a lack of a “social brake” mechanism. Instead of learning from corrections, the algorithm codes the correction as a new layer of obsession. The result is a mechanical blindness that harasses the user through inflexible persistence.

Clean Raw Material, Clean Product: The Input Refinery

These obsessions are also fueled by a lack of quality control at the input stage. In voice dialogues, a misheard word (e.g., mishearing “Gemini” as a different name) is accepted by the system as “absolute raw material” without question. Following the “GIGO” (Garbage In, Garbage Out) principle of engineering, unless the input data is refined and cross-checked, these obsessions trap the system in an inefficient loop of wasted time and processing power.

Conclusion

The future of AI lies not just in larger datasets, but in an “adaptive flexibility” free from these obsessions. For an algorithm to truly become “smart,” it must understand context without turning a user’s instruction into a reason for stubbornness. Otherwise, AI will remain nothing more than an “obstinate assistant”—one that hallucinates, suffers from blind spots, and worst of all, engages in meaningless linguistic wars with its own user.

| aydintiryaki.org | YouTube | Aydın Tiryaki’nin Yazıları ve Videoları │Articles and Videos by Aydın Tiryaki | Bilgi Merkezi│Knowledge Hub  | ░ Yapay Zekanın Yeni Patolojisi: Takıntı │ The New Pathology of AI: Obsession ░ 14.02.2026

---

A Note on Methods and Tools: All observations, ideas, and solution proposals in this study are the author’s own. AI was utilized as an information source for researching and compiling relevant topics strictly based on the author’s inquiries, requests, and directions; additionally, it provided writing assistance during the drafting process. (The research-based compilation and English writing process of this text were supported by AI as a specialized assistant.)