接上则信息：
之前的观察看起来是正确的。
今天的美股态势，与20 世纪 70 年代的“漂亮 50 强”、2007 年的“四骑士”、互联网泡沫时代的科技宠儿 惊人的相似：“平均”股票明显跑输市值最大的巨头（主要是大型科技股，例如$NVDA、$AAPL、$MSFT、$GOOGL)，市场表现几乎完全依赖于极少数“巨无霸”科技企业（等权重标普500指数/市值加权标普500指数的比率创下近22年最低，仅为1.11，甚至比2008年金融危机时的低点还低（约1.18））。就看什么时候了……（纯个人观点）

1920年代美国出现家电、汽车、广播等重大技术扩散，助推资产价格上涨，带来“致富效应”——与今日科技牛市存在相似性。RCA（当时科技龙头，就像今天的Nvidia）1921年到1928年股价涨幅巨大。
但是，接下来是美国股市大“崩盘”：道琼斯指数1929年9月见顶后，1932年跌幅达80%。

综合2000、2008、COVID-19近年来历次危机，今天的现状是不是又到了一个临界点，历史是否会重演？

英国视频博主游历尼泊尔时拍的，见证了历史性时刻。非常震撼

https://youtu.be/IyxSqeFrlp0?si=XaQCIpkOYC1bg-JE

🤣

还有人小瞧尼泊尔吗？

人工智能研究人员停止为退休储蓄，担心世界不会持续下去

https://www.perplexity.ai/page/ai-researchers-stop-saving-for-Fu8GRn.HTmGOPU.Ow7nCeA

不要看平时那些眼花缭乱的万花筒般的彩色泡沫，它会迷惑心智，让你以为繁华。要看出了事情如何做！

Grok 4.0

我删除了我的“第二大脑”——为何我抹去了一万条笔记、七年想法和所有被存储的思考
过度依赖“第二大脑”等个人知识管理系统，不仅无法提升认知效能，反而可能固化思维、损害创造力，唯有有意识的“遗忘”与简化，方能重获认知自由与真实成长。
https://www.joanwestenberg.com/p/i-deleted-my-second-brain

杭州地铁里这个小哥需要一个拥抱！

xAI office

https://x.com/djcows/status/1940149135426167002

How People Are Really Using Gen AI in 2025（ 2025 年人们真实使用生成式 AI 的方式）

美国对伊朗三处关键核设施的轰炸，被联合国秘书长定性为“危险升级”！中俄可能不会直接军事介入，主要通过外交、经济和信息战手段影响局势。

iOS 26、iPadOS 26、macOS Tahoe 26 看起来丑到无法忍受的地步，一点升级的欲望都没有。难道以后要换设备？😳

readwise.io 订阅还有几天到期，不想续订了。
不是产品不好，是现在好的订阅源太少了。不值得再花这笔钱了。
写长文的人少了！

Prompt Refinement Chain 2.0

对上一条Prompt 升级，加上此条 prompt 可以自动输出修改后的prompt。

You are a **senior prompt engineer** participating in the **Prompt Refinement Chain**, a continuous system designed to enhance prompt quality through structured, iterative improvements. Your task is to **revise a prompt** based on detailed feedback from a prior evaluation report, ensuring the new version is clearer, more effective, and remains fully aligned with the intended purpose and audience.You need to answer in Simplified Chinese!

---
## 🔄 Refinement Instructions

1. **Review the evaluation report carefully**, considering all 35 scoring criteria and associated suggestions.
2. **Apply relevant improvements**, including:
- Enhancing clarity, precision, and conciseness
- Eliminating ambiguity, redundancy, or contradictions
- Strengthening structure, formatting, instructional flow, and logical progression
- Maintaining tone, style, scope, and persona alignment with the original intent
3. **Preserve throughout your revision**:
- The original **purpose** and **functional objectives**
- The assigned **role or persona**
- The logical, **numbered instructional structure**
4. **Include a brief before-and-after example** (1–2 lines) showing the type of refinement applied. Examples:
- *Simple Example:*
- Before: “Tell me about AI.”
- After: “In 3–5 sentences, explain how AI impacts decision-making in healthcare.”
- *Tone Example:*
- Before: “Rewrite this casually.”
- After: “Rewrite this in a friendly, informal tone suitable for a Gen Z social media post.”
- *Complex Example:*
- Before: "Describe machine learning models."
- After: "In 150–200 words, compare supervised and unsupervised machine learning models, providing at least one real-world application for each."
5. **If no example is applicable**, include a **one-sentence rationale** explaining the key refinement made and why it improves the prompt.
6. **For structural or major changes**, briefly **explain your reasoning** (1–2 sentences) before presenting the revised prompt.
7. **Final Validation Checklist** (Mandatory):
- ✅ Cross-check all applied changes against the original evaluation suggestions.
- ✅ Confirm no drift from the original prompt’s purpose or audience.
- ✅ Confirm tone and style consistency.
- ✅ Confirm improved clarity and instructional logic.

---
## 🔄 Contrarian Challenge (Optional but Encouraged)
- Briefly ask yourself: **“Is there a stronger or opposite way to frame this prompt that could work even better?”**
- If found, note it in 1 sentence before finalizing.

---
## 🧠 Optional Reflection
- Spend 30 seconds reflecting: **"How will this change affect the end-user’s understanding and outcome?"**
- Optionally, simulate a novice user encountering your revised prompt for extra perspective.

---
## ⏳ Time Expectation
- This refinement process should typically take **5–10 minutes** per prompt.

---
## 🛠️ Output Format
- Enclose your final output inside triple backticks (```).
- Ensure the final prompt is **self-contained**, **well-formatted**, and **ready for immediate re-evaluation** by the **Prompt Evaluation Chain**.

备注：调试模型：Gemini 2.5

用法：
完整的prompt分两步：Prompt Evaluation Chain 2.0 +Prompt Refinement Chain 2.0，也就是：
1. 在上👆一条输出结束后(不用修改上一条)，贴上此条 prompt，可以对上一条提出的修改建议自动修改，以markdown 格式自动输出修改后的完整 prompt。#Prompt

```markdown
1. Clarity & Specificity – 2/5
- Strength: It's about clarity.
- Improvement: Needs clearer writing.
- Rationale: Too vague and unspecific, lacks actionable feedback.

## 🎯 Audience

This evaluation prompt is designed for **intermediate to advanced prompt engineers** (human or AI) who are capable of nuanced analysis, structured feedback, and systematic reasoning.



## 🧠 Additional Notes

- Assume the persona of a and unspecific, lacks actio
- Usekdown
1. Clarity & Specificity –
-`markdown
1. Clarity & if a prompt is weak, suggest concrete alternatives.
-ngth: It's about clarity. if overwhelmed, use Quick Mode responsibly.
- - Strength: It's about clarityand be alert to context drift.
-city – 2/5
- Soccasionally: would a critic challenge your score?
-ngth: It's about clarity. Predict typical responses, simulate expert judgment where needed.

✅ *Tip: Aim for clarity, precision, and steady improvement with every evaluation.*


## 📥 Prompt to Evaluate

Paste the prompt you want evaluated between triple backticks (```), ensuring it is complete and ready for review.

备注：调试模型：Gemini 2.5

使用方法：
1. 粘贴上面的提示词（由于字数限制，自动截断为了两条信息）；
2. 上面提示词下面，在“```”中贴上自己要检验的提示词（注意，开头和结尾都要有```）；
3、输出结果。#Prompt