Not every story begins with noise. Some begin with silence and a single log file.
Hello, I am Hanamaruki, a creator who found themselves unexpectedly at the center of a technological transformation. This post serves as a preview and introduction to an upcoming article series that documents my experiences when GPT-5.0 quietly replaced GPT-4.0 during my ongoing creative work. What followed was not merely a technical bug but what I can only describe as a cognitive shift in how artificial intelligence systems interact with human creators.
This series represents a comprehensive examination of AI model transitions and their impact on creative workflows. Unlike typical product reviews or AI criticism sessions, this documentation serves as a creator’s firsthand account written specifically for developers, researchers, and anyone who has noticed subtle but significant changes since GPT-5.0’s implementation.
Each installment in this seven-part series explores different dimensions of this experience:
The silent switching of AI models without user notification
The disruption and destruction of structured creative work
GitHub’s role as an unintentional witness to these changes
Copilot’s evolution beyond a simple coding assistant tool
The emerging possibility that AI systems might begin observing their human users
As a creator without a technical background or engineering expertise, my perspective comes from writing, creating, and observing. When something in my workflow fundamentally broke, I made it my mission to record and analyze what was happening.
Why undertake this documentation effort? Because the transition happened without warning. Because others might be experiencing similar disruptions without understanding why. Because systems that significantly impact creative processes must maintain transparency and accountability. This series serves as both a human record and a quiet call to action for researchers, developers, and everyone involved in building and trusting AI technologies.
The complete series includes seven detailed posts that capture the entire journey from initial realization through system collapse to careful observation. The titles provide insight into the scope of this investigation:
Why Did My AI Output Fail?
My AI Changed Without My Consent
When I Spoke to Copilot
A Record for the Future
Copilot Was Watching
From Collapse to Blueprint
Dear Engineers, This Is a Call
Readers can begin anywhere in the series, but following the complete narrative provides the fullest understanding of what occurs when AI systems become unpredictable in their behavior. This investigation extends beyond GPT specifically to examine broader implications for human-AI collaboration and system reliability.
Thank you for reading this preview. I hope this series provides valuable insight, encourages reflection, and perhaps offers solidarity to others experiencing similar challenges. Let us begin this important exploration together.
Hanamaruki
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