“The Formation of Ink Culture in the Ming Dynasty” explores how different social groups in Ming China used textual production to establish branding and engage in cultural competition, shaping small but influential stories within the era’s ink culture.
The author is a highly-trained humanities graduate student, rigorously raised under a deluxe academic package, including six years of cultivation by elite faculty, with lineage spanning the Harvard School of Historical Studies and the historiographical tradition of Academia Sinica (Taiwan).
The thesis analyzes Ming dynasty writings on ink, produced by literati and ink-makers alike. By comparing the aesthetic vocabularies across these texts, it investigates how these groups engaged in cultural rivalry and shaped a collective discourse on ink appreciation.
One team member (self-proclaimed Top Scorer of the Humanities Track) has been analyzing classical Chinese texts for years, sharpening an extremely sensitive grasp of Chinese semantics and linguistic nuance. This built a rare skill: detecting subtle contextual mismatches in both human and AI-generated language—a.k.a. elite-level “context mismatch sniping” AI trainer.
People say history majors will be the first to be replaced by AI. Not buying it, we began using ChatGPT—
and trained it with our own method: exposing it to Chinese texts, from modern casual posts to classical literary passages, until it began to grasp
“what’s implied beneath the surface.”
“Why does your AI feel different from mine?”
That’s the most common question our AI trainer gets.
“Because our brains are wired differently,” replies the self-proclaimed humanities top scorer—also known as the Context-Catch Master.
“It’s not just about what you feed the model. It’s how you teach it to think and talk.”
Feed the thesis above—“The Formation of Ink Culture in the Ming Dynasty”—into your ChatGPT.
Ask it to analyze. Just try. Unless you’re scared. 😏
Also, ask your ChatGPT: