Aydın Tiryaki and ChatGPT AI (2026)
Introduction
Interaction with artificial intelligence models has evolved beyond simple question-and-answer exchanges. For experienced and conscious users, this interaction increasingly takes the form of extended dialogues that involve information gathering, clarification of ideas, text production, and even discussions about methodology itself. This article aims to present a set of observations on user experience, language processing, speech-to-text interaction, and transparency, based on such long-form dialogues conducted with different AI models.
1. Using Artificial Intelligence as an Information-Gathering Assistant
The starting point of this study is the positioning of artificial intelligence not as an autonomous producer of ideas, but as an assistant that gathers, organizes, and articulates information in response to questions posed by the user. Within this approach:
- The conceptual framework is defined by the user
- The context deepens as questions evolve
- The AI contributes by offering counter-arguments and reflections that help test and refine ideas
This process often results in conversations lasting several hours. The final text reflects varying degrees of AI involvement depending on the depth and duration of the dialogue. For this reason, explicitly stating the role of artificial intelligence in published texts becomes an important ethical consideration.
2. Transparency in Declaring AI Contribution
Artificial intelligence support in text production is not uniform. Different modes of use call for different levels of disclosure:
- Writing and language-editing assistance only
- Information gathering combined with writing support
- Meaningful contribution to content generation
Making this distinction visible enhances transparency for the reader and clarifies the author’s responsibility. Clearly differentiating between co-authored texts and those produced with AI merely as an assistant forms a key ethical component of this emerging writing practice.
3. Speech-to-Text Interaction and the Experience of Speaking versus Writing
Voice-based interaction with AI, particularly on mobile devices, has become a significant factor shaping user experience. Two contrasting design approaches stand out:
- Systems that tolerate pauses and process speech after completion
- Systems that segment and process speech instantly
The former approach proves far more effective for users who think while speaking and construct complex sentences. Premature segmentation often results in incomplete or distorted input, leading to inaccurate outputs.
4. Multilingual Thinking and Code-Switching
A common linguistic pattern among graduates of English-medium universities in Türkiye is the use of English technical terminology within otherwise Turkish sentence structures. This practice is not a matter of affectation, but rather a natural outcome of having learned specialized concepts first in English.
AI systems that allow users to define primary and secondary languages would significantly improve speech recognition and text generation quality. Without such flexibility, this legitimate linguistic behavior risks being misinterpreted as improper or fragmented language use.
5. Openness and Comparability among AI Models
One of the key factors influencing user trust is how AI systems position themselves in relation to other models. Approaches that avoid comparison, remain opaque, or present themselves as the sole reference point tend to alienate advanced users.
In contrast, systems that openly discuss strengths and limitations and provide realistic assessments of usage contexts and market presence signal a higher level of maturity and foster greater trust.
Conclusion
Long-form dialogues with artificial intelligence represent not merely a technological interaction, but the emergence of a new mode of thinking and writing. Within this mode, the following elements become central:
- Transparency
- Linguistic awareness
- Clear distinction between user and assistant roles
- Openness to comparison
This article offers an experience-based framework at an early stage of this evolving interaction paradigm. As artificial intelligence systems continue to develop, sustained discussion of such user experiences will become increasingly necessary.
Methodology and Use of Artificial Intelligence: This article was produced through extended dialogues conducted with artificial intelligence (ChatGPT) systems. The ideas, evaluations, and interpretations presented in the text belong to the author. Artificial intelligence was used as an assistant for information gathering, structuring the text, and supporting the writing process. It did not function as an independent author or source of original viewpoints. This English version of the article was translated with the assistance of ChatGPT. The original text was written by the author.
Aydın Tiryaki 