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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
sato
日記にOutputすることって大事だぞ🤔🫧
私は、好きな時に日記つける派📖☡✍
3
Y
PCから流した音をフォンジャック→LINE入力
OUTPUTのLINEからカメラアダプタを経由してiPhoneへ、みたいな流れだと思ったけど違うのかな？
それとも写真二枚目のようにUSB-Bの方を使う？でもこれは入力？出力？って感じで分かってません。どなたかご存知の方いらしたら教えてください💦
216
薬味
僕のイメージはGPT-3.5から大して変わってなくて
9
tにいさん
12tにいさん
仕事のパフォーマンスはもちろん
日常の言葉の受け答えから
健康な心身、大切な人を大切に扱うことまで含め
16tにいさん
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tにいさん
かわいいもの美味しそうなもの美しいものには
容赦なくいいねが飛びます
無言フォローすることありますごめんなさい
コメント、DMお気軽に♪
早期セミリタイアして相思相愛猫つれて
多摩でひとり暮らししてたのに
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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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made to play/DUBSIDED/Sound Pellegrino/Sweat It Out/MAD DECENT/Fool’s Gold/Toy Tonics/Dirt crew
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30代/シンママ/育児しながら好きなように生きてます/ゲーム好き/マイクラ『𝗦𝗔𝗧𝗢鯖』の鯖主/実況動画よく見る/たまに外部で配信なんかもする/
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PUBGm、マイクラ、オセロニアなどやってます。楽しく遊べる方いたらラッキー🤞
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