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☦︎ Cħloé ☦︎
7
13
グレ
10
やまね
Hovercraft 152に期待。
無印Solution 158もそのうち買いたい。
3
はやお
フェスでもやってくれ…
5
クラム
The solution is to remove the heart!
114
Stupid
「This must Be Love 」
This Must Be Love
4 もっとみる 
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1人の贅沢は99人を不幸にする。その問題を根源的に解決するのが、根税制による #格差解消 である。
007🌙1770025584
エントロピー
その張本人の特定、あれの
SNSソリューションとは
（既に書いてて笑ってる）
なのでそういう人の炙り出しに
女子は防衛や尽力となりますね笑
結果「犯人の特定ゲーム」の
マトリックスという事
マトリックスとは？なんでもサステナブル、オルタナティブ都合がよく変わるシーンの代用品も代替案に化けるって事
あれを駆除するサステナブル（Sustainable）とは、「sustain（持続する）」と「able（～できる）」を組み合わせた「持続可能な」「ずっと続けていける」という意味の形容詞。地球環境、社会、経済の3つの側面において、資源を使い潰さず、未来の世代に負担をかけずに現在の豊かな生活を維持する考え方です。
あれらのソリューション（Solution）とは、英語で「解決」「解答」を意味し、ビジネスシーンでは企業が抱える課題や問題に対し、ITシステム、サービス、ノウハウ、人材などを組み合わせて提供する包括的な解決策のこと企業が抱える課題や問題に対し、ITシステム、サービス、ノウハウ、人材などを組み合わせて提供する包括的な解決策のこと。単なる製品販売ではなく、顧客の課題を根本から解決するアプローチを指す。
1
Ася
Long time no see~
A small life update: I’m now a penetration engineer, and honestly, I’m really happy about it.
Sometimes I catch myself thinking—I wish you could know the fuller version of me.
I wish you had known me at five.
Back then, I was pure sunshine. Loud joy, obvious eagerness to be seen. I greeted every neighbor with a sweet smile, volunteered to recite poems and dance during holidays without being asked.
Now, I need a long mental warm-up just to speak in public.
I wish you had known me at fourteen.
I was sharp-edged, almost feral. I argued with my math teacher over a solution, red-faced and stubborn, because I believed truth mattered more than keeping the peace.
Now, before I disagree, I take several careful turns in my head.
I wish you had known me at eighteen.
The girl who replayed the same song at midnight, filled notebooks with cryptic words, and believed—without needing reasons—in love. Her joy and sorrow were both dramatic, ceremonial.
Not like now, where I quietly organize my emotions and keep them neat.
It’s not that I dislike who I am today.
On the contrary, I really do like myself now.
But every once in a while—just once in a while—I miss those versions of me: the lively one, the sharp one, the melancholic one.
When I meet someone I truly click with, I can’t help thinking:
If only we had met earlier. Then we could have walked alongside each other for much longer.
You would’ve seen that the light in my eyes isn’t just politeness—it also carries something untamed.
You would know that my brightness doesn’t come only from experience, but from an unpolished sincerity.
You would understand how much past passion is hidden inside my gentleness.
And one more thing—I hate goodbyes.
I hate that everyone leaves carrying only a fragment of me.
It makes me feel like a book taken apart: one chapter with you, another with someone else, never whole.
I don’t want to be a book in pieces.
See? I’m greedy.
With new friends, I wish they could know me sooner.
With old friends, I wish they would never leave.
I know, though, that none of those versions of me ever disappeared.
They all live inside who I am now.
The courage of my five-year-old self still lets me meet the world with sincerity.
The sharpness of fourteen gives me boundaries beneath my softness.
The sensitivity of eighteen allows me to feel how complex—and fascinating—humans are.
Like rain from different seasons flowing into the same river:
the liveliness of early spring,
the intensity of midsummer,
the calm of late autumn—
all of it becomes the river in the end.
So I tell myself this:
Maybe new friends can glimpse my past through who I am now.
Maybe old friends can imagine my future through who I am now.
And the friends I’ve lost along the way—
perhaps they’re living happily in parallel timelines, carrying one version of me with them.
20
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鮟鱇
1人の贅沢は99人を不幸にする。その問題を根源的に解決するのが、根税制による #格差解消 である。
007🌙1766326511
めいちんパンダ
#佐藤優樹
#モーニング娘21
#まーちゃん
#卒業スペシャル
10鮟鱇
1人の贅沢は99人を不幸にする。その問題を根源的に解決するのが、根税制による #格差解消 である。
007🌙1765201869
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