Aydın Tiryaki (2026)
The 13-month period of conscious AI utilization, coupled with over four months of intensive engagement, proves that the transition of digital assistants from mere “calculators” to “thought partners” is occurring at a pace that surpasses even Moore’s Law (1). The dialogues conducted with both Gemini (2) and ChatGPT (3) during this timeframe demonstrate that these models are evolving not only in capacity but also in “maturity” and “communicative nuance.”
1. Breaking Taboos: The Phase of Transparency and Maturity
In the past, AI models were reticent, avoiding even the mention of their competitors due to brand protection concerns. Today, we observe a much more transparent landscape. Specifically, ChatGPT’s acknowledgment of Gemini’s strengths and its honest admission of its own interface limitations (such as the rigid constraints in translation engines) indicates that AI has moved beyond “corporate ego” to adopt the identity of a “honest assistant” for the user.
2. Integration and the Context Test in Translation
The full integration of systems with massive data repositories, like Google Translate, with models possessing high reasoning capabilities like Gemini is no longer a choice but a necessity. The “fluid and contextual” experience offered by ChatGPT by embedding translation capabilities into its own ecosystem poses a risk for traditional tools to remain merely “mechanical.” However, a critical engineering warning arises here: Fluency must not precede loyalty. The AI’s ambition to “improve” text by summarizing or altering it during translation leads to a loss of trust for professional users seeking technical precision.
3. The Conflict Between Logic and Algorithm: The 1453 and 325 Symmetry
A striking case study testing the intelligence of AI is the question of which day of the week May 29, 1453, falls on. Models often fail when caught between mathematical algorithms and historical truths. In the 1700-year cycle stretching from the calendar rules established at the Council of Nicaea (4) in 325 AD to the year 2025, one reality remains constant: The days of the week are uninterrupted; Tuesday never skips to Thursday. The fact that AI misses this “logical constant” and attempts to fit the result into a formula (as seen in the June 7 example) proves that these systems still suffer from “contextual blindness.”
4. Capacity Management and the “Divide and Conquer” Strategy
In high-volume tasks, such as indexing an archive of 143 articles, the contradiction between the AI’s “colossal power” and its “loss of precision” becomes evident. The “context fatigue” experienced by the system after a certain point necessitates that the user divide the task into modular parts. This situation demonstrates that AI is not yet an “autopilot,” but rather an “assistant” that works efficiently only under the hand of a master “director” (the human).
5. Conclusion: Qualitative Patience and the Future
The shifts in AI over the last four months resemble the awakening of a giant. However, for an advanced user, the essence is not the speed or the quota of the system, but the accuracy and depth of the information provided. Opting for a “qualitative process” over “unqualified speed” is the debt of the engineering discipline to the development of AI.
Footnotes
(1) Moore’s Law: An observation made by Gordon Moore in 1965, stating that the number of transistors on a microchip doubles approximately every two years, leading to increased processing speeds and decreased costs. Today, the growth rate of AI exceeds this hardware-based progression.
(2) Gemini: A family of multimodal AI models developed by Google. Replacing “Bard” in early 2024, it excels in processing text, code, audio, and imagery simultaneously.
(3) ChatGPT: An AI language model developed by OpenAI. Released in November 2022, it popularized the AI revolution through its “Generative Pre-trained Transformer” (GPT) architecture.
(4) Council of Nicaea (325 AD): A pivotal meeting in history where calendar regulations were established, including fixing the spring equinox to March 21, which laid the groundwork for future calendar shifts.
References
- Tiryaki, A. (2025). ODTÜ’den Bir Köşe. https://aydintiryaki.org/2025/11/21/odtuden-bir-kose/
- Tiryaki, A. (2025). YHOW INTELLIGENT IS ARTIFICIAL INTELLIGENCE? -2: Which Day was the Conquest of İstanbul?. https://aydintiryaki.org/2025/11/26/how-intelligent-is-artificial-intelligence-1-which-day-was-the-conquest-of-istanbul/
- Tiryaki, A. (2026). Dialogue with Artificial Intelligence: Observations on User Experience, Language, Trust, and Openness.https://aydintiryaki.org/2026/01/18/dialogue-with-artificial-intelligence-observations-on-user-experience-language-trust-and-openness/
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.)
Aydın Tiryaki 