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Walk Thru Fire (feat. Meron Ryan)
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Haruki
'Cause God makes no mistakes
Born This Way
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なな
私は私のままで美しいの
'Cause God makes no mistakes
神様に間違いなんてないんだから
I'm on the right track, baby
何も問題なんてないわ
I was born this way
これがありのままの私なのよ
Don't hide yourself in regret
クヨクヨして自分を隠さないで
Just love yourself and you're set
自分を好きになればそれで大丈夫
I'm on the right track, baby
何も問題なんてないわ
I was born this way (Born this way)
これがありのままの私なのよ
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They will instinctively be afraid to make mistakes because mistakes always meant being a bad student.
（彼らは本能的に間違えるのを怖がる。間違いはいつも「できない生徒」を意味していたから）
1
Dr.David
1. Study the life of successful people.
Understanding that perseverance has helped many people achieve success will inspire you to develop this quality within yourself.
2. Don't expect things to be easy, prepare for the difficult journey.
One of the main reasons why people give up is incorrect expectations. They expect it to be easy and are very surprised when in reality it turns out the other way around. Their enthusiasm is melting quickly, and they lose their spirits.
3. Don't underestimate the amount of time required.
Just as you shouldn't underestimate the difficulty of the road ahead, you shouldn't also underestimate its length. Of course, everyone wants to achieve instant success, but that is unfortunately not possible. The road to success is a marathon, not a sprint, and you have to be willing to.
4. Have a strong motivation.
To sustain your persistence and consistency, you need a strong source of motivation. You need a good reason to not give up and to keep trying to succeed over and over again. It usually derives from your purpose. You must know firmly why you want to achieve your goal. Your reason should be stronger than the obstacles you face along the way.
5. Give failure the right attitude.
Just as failures on the way to success are inevitable, you must know how to deal with them. This will help you to persevere.
When you don't know how to deal with setbacks and they catch you off guard, your mental energy quickly drains.
6. Find partners and like minded people.
Achieving success will be easier if you are surrounded by partners and like-minded people who support you. They will motivate and support you through the difficult moments in your life. Also, by sharing their experience with you, they will help you avoid many mistakes.
7. Reduce your stress.
To maintain your persistence you must reduce the drainage of
1
臼井優
1. A little learning is a dangerous thing.
（少しばかりの知識は危険なものである）
最も一般的で、日本語のニュアンスに一番近い表現です。18世紀の詩人アレキサンダー・ポープの詩に由来します
2. A little knowledge is a dangerous thing.
（少しばかりの知識は危険なものである）
「learning」を「knowledge」に置き換えたもので、現代ではこちらも非常によく使われます
3. Shallow wits speculative make great mistakes.
（浅知恵で推測すると大きな間違いを犯す）
「生兵法」を「浅知恵」や「不完全な知識」として表現した言い回しです
使い方・文脈
これらのフレーズは、「中途半端な知識しかないのに、それを過信して行動すると失敗する」と警告したい場面で使われます。
例文: Be careful. A little learning is a dangerous thing when it comes to medical treatment.
（気をつけて。医療に関しては、生兵法は大怪我のもとだよ。）
2
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
💞つぐみ
it's good to learn from your mistakes.
んんんんんんちがうな
it's good to learn from your attitude.
こっちだな。
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