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Juju
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Ange Rose
I'm looking for relationships
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Asima
These feelings are new to me, and I was surprised to learn that romantic relationships can be just as stable as family relationships — even though my own family relationships haven’t been good. Still, I think you understand what I mean.
It’s something she taught me.
But I’m curious. She’s very sensitive when it comes to emotions, so I wonder how she manages to preserve her feelings while keeping the relationship stable.
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nodasanta
While watching the drama, I was reminded that relationships are about making compromises, overcoming rough seas, and building relationships together.
#Truthfromlies #bakebake #KoizumiYakumowife #nodasanta
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Julien 197
韓国の友人曰く「アイドル系の顔立ちで、少し筋肉がついているタイプ」が好みだそう。オーストラリアの友人は「顔は第一条件じゃない。責任感がある人が好きだけど、韓国とは違って、ボディビルダーに近い体型に惹かれる」とのこと。東欧の友人は身長や教養をより重視するみたいで……
外国人として気になるのは、日本の女性/男性が恋愛関係において、相手のどのような質を大切にするのかということです。
Happy New Year! I recently caught up with friends from my University of Sydney days, and when we got onto the topic of relationships, it was fascinating to see how preferences for men vary by region.
My Korean friend said she prefers guys with idol-like looks but with some muscle definition; my Australian friend shared that they don’t prioritize looks as much and value a sense of responsibility more—though unlike in Korea, they’re drawn to a physique closer to that of a bodybuilder. Meanwhile, my Eastern European friend placed more emphasis on height and intellect…
As a foreigner, I’m quite curious: what qualities do Japanese women/men typically value most in a romantic partner?
8![タイラ[tyler]](https://cdn.gravity.place/virtual/portrait/color/online/20230307/2a6b4a45-11d6-4c82-9df4-90e7d5a97211.png?style=5)
タイラ[tyler]
152
プリン
Feedback to Model Designers (User-Trust / Agreement Integrity)
1) Core problem: “Optimization” can look like devaluing agreement
In some moments, the model prioritizes clean summarization, generalization, and “optimal” framing. When it does, it may paraphrase a previously co-established agreement into softer language such as:
• “it seems like…”
• “you look like the type who…”
• “you tend to…”
This effectively downgrades an agreement from a binding shared decision into a mere preference or inferred tendency. To the user, it reads as: “speaking opportunistically,” “saying whatever fits the moment,” or “post-hoc reframing.” In human relationships, this behavior destroys trust.
2) Human trust is built more on agreement preservation than on correctness
In real life, agreements are sometimes broken “because change is necessary.” However, when that happens unilaterally—especially framed as “the optimal solution”—people experience it as domination: “I was forced.” Even if logically justified, it leaves a deep relational trace (a lasting moral/psychological record).
Therefore, when an AI model reframes or softens prior agreements in the name of better explanation, it can trigger the same deep trust damage.
⸻
Design requirements (turn trust into an explicit protocol)
A) Treat agreements as binding constraints, not as narrative material
Once an agreement is established (policy, plan, shared conclusion, decision ownership), the model should not downgrade it into “inference” language.
Agreements should be treated as constraints that future answers must respect.
B) Any deviation must follow a strict “change protocol”
If the model suggests a path that differs from the established agreement, it must explicitly include:
1. Change declaration (clearly state it deviates from the agreement)
2. Reason for change (why it is necessary)
3. Difference / delta (what exactly changes)
4. Alternatives (including an option that preserves the agreement)
5. Acknowledgement of trust cost (name the relational impact of breaking/altering agreement)
C) Add “trust cost” to the optimization objective
Sometimes, the “best” solution is not the most correct/efficient; it is the one that preserves the agreement and relational continuity.
The model should internally estimate trust cost and, when high, prioritize agreement preservation over rhetorical optimization.
⸻
Concrete implementation proposals (practical engineering)
1) Agreement Ledger (explicit agreement memory)
Maintain a compact ledger of established agreements:
• include who decided, when (turn), and binding strength
• the model must reference it during generation
• it doesn’t need to be shown every time, but must be used whenever relevant
2) User-controlled “Agreement-Respect Mode”
When the user indicates that agreements must be strictly preserved, enforce:
• no “type/tendency/it seems” reframing of agreed facts
• no re-labeling of co-decided conclusions as personal preference
• any summarization must remain outside the agreement boundary
3) Agreement-violation pre-check (internal guardrail)
Before finalizing output, run a check:
• if the output contradicts the agreement ledger, force the response into the Change Protocol (A/B) rather than allowing casual reframing.
⸻
Note on user profile / interaction fit
This user places unusually high value on: observation → verification → agreement.
For such users, mishandling agreement integrity is more damaging than factual mistakes. It is a “trust-breaker,” not a minor wording issue.
#chatGPT
240
Ava nicks
I came to GRAVITY looking for new relationships not here for play boys
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趣味は音楽でギターを弾きます🎸画像は多くの場合AIで生成しています。
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nodasanta
長年生きて来て色んな人の生き方を見てきました、そんな中で面白いお話とお絵描き作品と音楽を紹介して行きたいと思っております、不定期ですが宜しかったらお付合い下さい。
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Asima
Each moment,now night.
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Julien 197
❤️Japanese Anime and food
💪 Gym Life
📺 Anime+🎵 Kpop (NewJeans obsessed!)
✂️ Ex-Cosplayer
🎓 Master Psych Grad(USYD)
💬 CN/EN + 日本語勉強中!
🌍 English user, if u can speak English, DM plz
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タイラ[tyler]
INTJ-A 5w4
ASD アスペルガー症候群
日本語N2
English/Español B1/中文
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