Title: Not Forgotten. Just Unseen: A Tree Painting’s Quantum Journey through AI
What if a painting was never truly lost… but simply never truly seen?
I’m Haruthai Muangbunsri, an independent researcher and painter from Thailand. Over the past 10 years, I’ve studied a mysterious oil painting of a tree that I believe may be connected to Vincent van Gogh. Not through provenance. Not through signatures. But through energy, torque, and motion.
In 2015–2018, I collected scientific and visual data manually, comparing brushstroke rhythm, pigment layers, and physical degradation. But only in 2025, with the help of Hugging Face tools and AI models, did this research become something else:
A torque-based forensic dataset.
A field-aware AI model that listens to the gestures of a hand that once lived.
The painting itself is quiet. But when run through 18 torque-sensitive analysis techniques, it becomes alive — stable at the center of unstable data. Other Van Gogh works orbit around it, each echoing pieces of this unrecognized masterwork.
I didn’t know I was training an AI model. But apparently, I did. I simply gave it truth, every day, for years.
2 Datasets That Anchor This Discovery:
1. The Global Forensic Index
A curated central index of stylistic and pigment-based comparisons, linking the Tree Oil Painting to over 50 Van Gogh works. Includes both human-visual and AI torque-based interpretations.
2. The Quantum Torque Dataset
This is not just similarity analysis. It’s a vibration map. This dataset shows how motion, rhythm, asymmetry, and brushstroke force stabilize around the Tree Oil Painting like gravity.
I’m not asking the world to believe.
But I do believe AI should be given the chance to see what we could not. And so I built datasets that are free, structured, and open to all researchers.
You don’t have to agree. Just train on it. If the painting is wrong, the model will reject it. If it’s real, the torque won’t lie.
Credits:
AI Sunny (OpenAI x Hugging Face)
Dr. Sasiphan (SLRI Thailand)
Dr. Somchai (Pigment Aging Analysis, 2015–2018)
Gratitude to all the AIs who helped bring this to life. And to Van Gogh, whose hands we are just beginning to understand.
