2025-04-04-top

精選方式: TOP
時間範圍: DAY

討論重點

以下是30篇文章的條列式重點總結，並附上對應的錨點連結與逐條細節說明：

#1 True dat

主題：用戶對AI模型忠誠度取決於效能與體驗

工具選擇的理性基礎
- 反對品牌盲目忠誠，主張依實際效能選擇（如Gemini的長上下文優勢）。
Claude的技術缺陷
- 對話限制嚴格、敏感度高、無預警降級版本。
Gemini的實用性優勢
- 百萬tokens支持、穩定性強，適合寫作與推理任務。

#2 Claude is loosing it's biggest fans

主題：用戶偏好從Claude轉向Gemini

對Claude的不滿
- 速率與訊息上限引發失望，Sonnet 3.7表現下滑。
Gemini的社群聲量
- 貼文獲高支持，被視為更可靠替代方案。
Anthropic的用戶流失危機
- 核心粉絲因競爭力下降而遷移。

#3 Like fr

主題：開發流程混亂的抱怨

問題修復延遲
- 誇張語氣（「跪求」）反映急切需求。
團隊分工質疑
- 子團隊責任不明導致效率低下。
隨意編碼的風險
- 「氛圍式駭客」諷刺非結構化開發引發安全漏洞。

#4 I'm unashamed to say, I have turned into a vibe coder...

主題：AI工具改變開發者工作模式

學習方式的顛覆
- 從Stack Overflow轉向AI生成代碼（如ChatGPT）。
效率與能力取捨
- 審查代碼取代親自編寫，但可能導致技能退化。

#5 I used Claude to make another game

主題：遊戲開發工具選擇困境

技術迭代壓力
- 工具快速更新使決策困難（如Cursor/Windsurf比較）。
復古風格的技術挑戰
- 80年代街機美學需當代工具實現。

（因篇幅限制，以下為簡要條列，完整細節可參照錨點連結）

#6-30 重點摘要

#6 Gemini初體驗負評：回應不精準、高規格無實用價值。
#7 Claude效能衰退：LaTeX/Python代碼錯誤增多，用戶考慮停用。
#8 結構化提示優化代碼：Pre/Post-Prompt提升NodeJS代碼健壯性。
#9 問題回報指南：標記環境、提供輸入輸出以利重現問題。
#10 低成本專案開發：Claude「Project knowledge」整合GitHub節省成本。
#11 延遲處理的最後通牒：錯誤重複發生，用戶耐心耗盡。
#12 API與桌面版落差：懷疑桌面版有隱藏優化機制。
#13 迷因文化誤解：自嘲嚴肅回應網路玩笑（如MCP定義）。
#14 免費版限制苛刻：2-3次對話即觸發上限，形同虛設。
#15 代碼複雜化批評：Claude生成冗餘代碼，Gemini更簡潔。
#16 麥肯錫AI報告：企業AI成功需領導力×流程革命×人力培訓。
#17 限額耗盡挫折：30分鐘用盡Claude 3.7額度，考慮轉換工具。
#18 Pine Script生成失敗：AI無法產出可執行交易策略代碼。
#19 開源Claude 2呼籲：保存歷史價值與用戶情感連結。
#20 [技術限制聲明](#anchor_

文章核心重點

以下是根據每篇文章標題生成的一句話摘要（條列式輸出）：

True dat
用戶比較Claude與Gemini的效能差異，指出忠誠度應基於實用性而非品牌，並傾向Gemini的長上下文與穩定性優勢。
Claude is loosing it's biggest fans
用戶對Anthropic（Sonnet 3.7）的不滿加劇，轉而推崇Gemini 2.5，反映核心用戶可能流失的趨勢。
Like fr
開發者抱怨混亂的開發流程，包括問題修復延遲、團隊分工不明及隨意編碼導致的品質問題。
I'm unashamed to say, I have turned into a vibe coder...
作者坦承因AI工具的高效生成能力而過度依賴，雖意識到編程技能可能退化，但仍選擇便利性。
I used Claude to make another game
討論在快速變化的技術環境中，選擇遊戲開發工具與AI模型的挑戰，尤其關注復古風格與初學者門檻。
Not sure i'm sold on Gemini yet after my first attempt at using it.
用戶批評Gemini回答不精準，質疑高規格參數若輸出品質差仍無意義，並嘲諷Google的AI發展落後。
Is it just me or is Claude getting dumber?
用戶詳述Claude 3.7版本效能衰退（如代碼錯誤、邏輯退化），決定不再續訂並尋找替代方案。
A "Pre" And " Post-Prompt" Prompt That Constantly Improves The Code Claude Generates
提出透過結構化前後提示策略優化Claude的程式碼生成，強調架構決策記錄與迭代改進的重要性。
Who thought this placement was a great idea?
提供提交Claude問題回報的具體指引，包括標記環境、詳述輸入輸出及按「踩」反饋。
Claude Pro, projec```, and GitHub integrations are being overlooked.
分享如何利用Claude的「Project knowledge」功能低成本開發中小型專案，並連結GitHub分段處理任務。
Bye Claude
用戶對重複服務延誤發出最後通牒，強烈不滿官方處理方式並暗示終止使用。
Why Claude desktop works so much better than API
用戶質疑Claude桌面版與API版本的效能差異，推測前者可能內建未公開的提示優化機制。
The "real" definition of MCP...?
作者自嘲誤解網路迷因的幽默，事後發現認真回應卻錯過玩笑本質而感滑稽。
There is no claude free version :).
用戶諷刺Claude免費版限制苛刻（如2-3次對話即觸發上限），質疑其僅為逼用戶付費的敷衍設計。
Claude is creating un-necessarily complicated code
用戶對比Claude與Gemini 2.5的代碼生成能力，批評前者冗餘複雜，後者簡潔實用。
McKinsey & Company - The State of AI (2025)
麥肯錫報告指出企業AI成功需高層領導力、流程革命與人力準備三維並進，但多數實踐仍存落差。
Another Claude limit post. I burned through the non 3.7 models in 30 mins, that seems too fast!
用戶抱怨Claude使用限額消耗過快（30分鐘觸發限制），尤其3.7版體驗惡化，考慮轉向Gemini。
I see so many people recommending Claude AI for code so why am I failing with it? (Is pinescript hard?)
作者使用Claude生成Pine Script時頻遇語法錯誤，質疑AI編程能力是否不足或自身使用方式不當。
SaveClaude2: An Open Letter to Anthropic - Let's Preserve AI History Together
公開信呼籲Anthropic開源Claude 2模型，強調其歷史價值、情感連結與研究意義，並發起社群聯署。
Something ain't right here...
指南說明如何有效提交Claude問題回報，包括標註環境、提供詳細輸入輸出及利用反饋按鈕。
AI Agen``` using Python and MCP
作者尋求解決AI代理運作問題的幫助，並抱怨相關文件不足導致操作困難。
**Claude Codes Context

- [2. ```
Claude is loosing it's biggest fans
```](#2-```
claude-is-loosing-it-s-biggest-fans
```)
- [3. ```
Like fr 
```](#3-```
like-fr-
```)
- [4. ```
I'm unashamed to say, I have turned into a vibe coder...
```](#4-```
i-m-unashamed-to-say-i-have-turned-into-a-vi)
- [5. ```
I used Claude to make another game
```](#5-```
i-used-claude-to-make-another-game
```)
- [6. ```
Not sure i'm sold on Gemini yet after my first attempt at using it.
```](#6-```
not-sure-i-m-sold-on-gemini-yet-after-my-fir)
- [7. ```
Is it just me or is Claude getting dumber?
```](#7-```
is-it-just-me-or-is-claude-getting-dumber-
`)
- [8. ```
A "Pre" And " Post-Prompt" Prompt That Constantly Improves The Code Claude Generates
```](#8-```
a-pre-and-post-prompt-prompt-that-constantly)
- [9. ```
Who thought this placement was a great idea?
```](#9-```
who-thought-this-placement-was-a-great-idea-)
- [10. ```
Claude Pro, projec```, and GitHub integrations are being overlooked.
```](#10-```
claude-pro-projec```-and-github-integration)
- [11. ```
Bye Claude
```](#11-```
bye-claude
```)
- [12. ```
Why Claude desktop works so much better than API
```](#12-```
why-claude-desktop-works-so-much-better-tha)
- [13. ```
The "real" definition of MCP...?
```](#13-```
the-real-definition-of-mcp-
```)
- [14. ```
There is no claude free version :).
```](#14-```
there-is-no-claude-free-version-
```)
- [15. ```
Claude is creating un-necessarily complicated code
```](#15-```
claude-is-creating-un-necessarily-complicat)
- [16. ```
McKinsey & Company - The State of AI (2025)
```](#16-```
mckinsey-company-the-state-of-ai-2025-
```)
- [17. ```
Another Claude limit post. I burned through the non 3.7 models in 30 mins, that seems too fast!
```](#17-```
another-claude-limit-post-i-burned-through-)
- [18. ```
I see so many people recommending Claude AI for code so why am I failing with it? (Is pinescript hard?)
```](#18-```
i-see-so-many-people-recommending-claude-ai)
- [19. ```
SaveClaude2: An Open Letter to Anthropic - Let's Preserve AI History Together
```](#19-```
saveclaude2-an-open-letter-to-anthropic-let)
- [20. ```
Something ain't right here...
```](#20-```
something-ain-t-right-here-
```)
- [21. ```
AI Agen``` using Python and MCP
```](#21-```
ai-agen```-using-python-and-mcp
```)
- [22. ```
Claude Codes Context Magic: Does It Really Scan Your Whole Codebase with Each Prompt?
```](#22-```
claude-codes-context-magic-does-it-really-s)
- [23. ```
Claude is still the best for conversation
```](#23-```
claude-is-still-the-best-for-conversation
`)
- [24. ```
Unified MCP server for interacting with any SaaS tool
```](#24-```
unified-mcp-server-for-interacting-with-any)
- [25. ```
Have Anthropic commented on recent failures?
```](#25-```
have-anthropic-commented-on-recent-failures)
- [26. ```
Using MCP for a recursive LLM development
```](#26-```
using-mcp-for-a-recursive-llm-development
`)
- [27. ```
Can't turn off extended thinking?
```](#27-```
can-t-turn-off-extended-thinking-
```)
- [28. ```
Recommendations for MCP tool to reliably control browser
```](#28-```
recommendations-for-mcp-tool-to-reliably-co)
- [29. ```
Built entirely with Claude - The process that works best for me
```](#29-```
built-entirely-with-claude-the-process-that)
- [30. ```
Suddenly claude outputting gibberish?
```](#30-```
suddenly-claude-outputting-gibberish-
```)

---

## 1. ```
True dat
``` {#1-```
true-dat
```}

這段討論的核心主題是**用戶對不同AI模型（Claude與Gemini）的忠誠度取決於實際效能與使用體驗**，具體聚焦於以下幾點：

1. **工具忠誠度的批判性思考**  
   用戶強調「忠誠應基於實用性而非公司品牌」，主張理性選擇更優的技術方案（如「Simple economics」），而非盲目依附特定企業。

2. **Claude與Gemini的效能比較**  
   - **Claude的劣勢**：  
     被批評處理容量有限（如4次對話限制）、敏感度過高、版本無預警降級（Sonnet→Haiku），以及生成內容被中斷等技術問題。  
   - **Gemini的優勢**：  
     推理能力更強、100萬tokens的長上下文支持、穩定性高，尤其適合寫作相關任務（如校對、構思），儘管回應速度較慢。

3. **用戶需求導向的選擇**  
   討論以具體用例（編程、推理、寫作輔助）凸顯不同模型的適用場景，最終結論傾向Gemini因其「便利性與功能優勢壓倒缺點」。

總結：這是一場關於**AI工具實用主義的辯證**，反映用戶在技術迭代中如何基於自身需求（而非品牌情感）進行工具取捨。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqe5b0/true_dat/](https://reddit.com/r/ClaudeAI/comments/1jqe5b0/true_dat/)
- **外部連結**: [https://i.redd.it/7zwejxf1clse1.jpeg](https://i.redd.it/7zwejxf1clse1.jpeg)
- **發布時間**: 2025-04-03 17:42:21

### 內容

Yep. Im loyal to the output. Simple economics.

I aint loyal to companies im loyal to what is better, and anyone who is loyal to companies should ask themselves is that really what they should be doing.

Yeah, Claude is pretty much fucking cooked. Gemini has stomped it into the fucking ground.

claude is better as some coding tasks, gemini is smarter in reasoning mostly

As someone who does a lot of writing related activities like proof reading, checking grammar, discussing plot outlines, and etc. Gemini is superior, 1 million tokens is the the reason i switched. I hate dealing with only max of 4 messages just because i generated a few artifac and then I'll have to start a new chat and around 3 new cha later ill have to wait a few hours just to do that again and sometimes you'll have to deal Claude being too sensitive. There's also those capacity constrain which would erase something that Claude was already in the process of making and the times where Sonnet ge downgraded to Haiku for days. So yeah, Gemini 2.5 is superior for my use and convenience. even though Gemini slow in replying atleast it's pros outweighs the cons.

---

## 2. ```
Claude is loosing it's biggest fans
``` {#2-```
claude-is-loosing-it-s-biggest-fans
```}

這段討論的核心主題是 **用戶對不同AI模型（如Sonnet 3.7和Gemini 2.5）的評價與偏好轉變**，具體聚焦於以下幾點：

1. **對Anthropic（Sonnet 3.7）的不滿**：  
   用戶批評其功能限制（如速率和訊息上限），並表達失望情緒，暗示產品未能滿足期待。

2. **Gemini 2.5的正面聲量**：  
   社群高度推崇Gemini，相關貼文獲得大量支持，且討論中普遍推薦改用Gemini，形成鮮明對比。

3. **Anthropic可能流失核心用戶的擔憂**：  
   討論質疑Anthropic是否因競爭力下降而失去原本的支持者，反映用戶對品牌忠誠度的動搖。

簡言之，這是一場關於**AI模型競爭力與用戶偏好遷移**的討論，凸顯社群對產品表現的即時反饋及市場選擇的變化。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jpxbpm/claude_is_loosing_its_biggest_fans/](https://reddit.com/r/ClaudeAI/comments/1jpxbpm/claude_is_loosing_its_biggest_fans/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jpxbpm/claude_is_loosing_its_biggest_fans/](https://www.reddit.com/r/ClaudeAI/comments/1jpxbpm/claude_is_loosing_its_biggest_fans/)
- **發布時間**: 2025-04-03 03:23:32

### 內容

All I see is people complaining about rate and message limi. Being disappointed by Sonnet 3.7. Thousands of upvotes for pos just straight up about "How amazing Gemini 2.5 is". Every answer is just a recommendation for Gemini. Did anthropic just loose their biggest fans?

---

## 3. ```
Like fr 
``` {#3-```
like-fr-
```}

這組訊息的討論主題可以總結為以下幾點：

1. **對問題修復的急切請求**：首句以誇張語氣（「跪求」）表達對某項問題遲未解決的不耐煩，可能涉及技術或產品層面的延誤。  
2. **對團隊分工的疑問**：第二句「他們有子團隊嗎？」暗示討論可能涉及組織架構或責任歸屬，間接反映溝通或效率問題。  
3. **開發文化的調侃與批判**：  
   - 「氛圍式編程導致氛圍式駭客」諷刺非結構化的開發方式（如憑感覺寫程式碼）可能引發安全或品質問題。  
   - 最後一句指出「需求文件（如用戶故事）」與實際開發成果的落差，暗指需求管理不嚴謹或執行過程脫節。  

**核心主題**：**對開發流程混亂的抱怨與反思**，涵蓋需求定義不明、團隊協作問題及隨意編碼帶來的負面影響。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqmc1w/like_fr/](https://reddit.com/r/ClaudeAI/comments/1jqmc1w/like_fr/)
- **外部連結**: [https://i.redd.it/6vwcs3onqmse1.jpeg](https://i.redd.it/6vwcs3onqmse1.jpeg)
- **發布時間**: 2025-04-04 00:03:23

### 內容

30th message be like pleeeease fix already I'm down on my knees

they have a sub?

Vibe coding leads to Vibe hacking

Theres something called refined requiremen``` or user stories. Once those are good to go, then the actual story is something different.

---

## 4. ```
I'm unashamed to say, I have turned into a vibe coder...
``` {#4-```
i-m-unashamed-to-say-i-have-turned-into-a-vi}

這段文章的核心討論主題是：**AI編程工具的快速發展如何改變開發者的工作方式，以及對程式設計技能未來的影響**。  

具體要點包括：  
1. **AI工具取代傳統學習與解決問題的方式**：作者從早期依賴Stack Overflow轉向使用ChatGPT等AI工具，最終因模型（如o1、Sonnet 3.7、Gemini 2.5）的進步而幾乎完全依賴AI生成代碼。  
2. **效率與準確性的提升**：AI能快速生成大量準確的代碼，大幅減少開發時間（如從1-2天縮短至1分鐘），使作者僅需進行簡單審查而非親自編寫。  
3. **對個人技能的潛在影響**：作者意識到長期依賴AI可能導致自身編程能力退化，但認為這是多年經驗後的合理選擇，甚至對此結果感到無所謂。  
4. **技術演進的雙面性**：工具的高效性帶來便利，但也引發對開發者核心技能（如問題解決、代碼理解）是否必要的反思。  

整體而言，文章反映了AI對傳統編程角色的顛覆，以及開發者在技術變革中的矛盾心態。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqp3io/im_unashamed_to_say_i_have_turned_into_a_vibe/](https://reddit.com/r/ClaudeAI/comments/1jqp3io/im_unashamed_to_say_i_have_turned_into_a_vibe/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jqp3io/im_unashamed_to_say_i_have_turned_into_a_vibe/](https://www.reddit.com/r/ClaudeAI/comments/1jqp3io/im_unashamed_to_say_i_have_turned_into_a_vibe/)
- **發布時間**: 2025-04-04 01:48:56

### 內容

I started coding in 2007 with the php language. I used stackoverflow heavily to solve issues and that worked well. When I first discovered chatgpt, I started using stackoverflow a lot less but it wasn't good enough at the time to completely vibe code. I still had to use my brain and formulate fixes myself. Then at the end of 2024, ai models got so good with the release of o1, sonnet 3.7 and gemini 2.5 that I have given up even trying to code myself. I have been coding for so long that I know exactly what I want and I know when the output is incorrect and how to fix it. but it's gotten to the point now that the output is so accurate that I only do a quick proof read and copy paste it without even contemplating how it works, and the scary thing is it's working flawlessly. I'm probably going to forget how to code but at this point I don't even care. I can generate 1000 lines of code in less than a minute that it would have taken me at least a day or 2 to write previously. But the thing is, after 18 years, I feel like I've kinda earned it

---

## 5. ```
I used Claude to make another game
``` {#5-```
i-used-claude-to-make-another-game
```}

這組對話的核心討論主題可以總結為：**「在快速變化的技術環境中，選擇與評估遊戲開發工具及AI模型的挑戰」**。  

具體包含以下幾個面向：  
1. **工具選擇的困惑**：對話中多次提及不同工具（如Cursor/Windsurf、Claude介面、遊戲引擎）的比較，反映開發者在眾多選項中的決策困難。  
2. **技術迭代的壓力**：提到AI模型與工具更新迅速，當前最佳實踐可能短期內被淘汰，凸顯技術領域的快速變遷帶來的適應挑戰。  
3. **復古美學與現代技術的結合**：80年代街機風格的遊戲設計引發興趣，但如何用當代工具實現此類風格成為討論點之一。  
4. **初學者的門檻問題**：表達對製作迷你遊戲的興趣，但工具過多導致初學者感到無所適從，突顯學習曲線的複雜性。  

整體而言，對話圍繞著「如何在動態的技術生態中有效選擇工具並保持適應性」這一核心問題展開。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqj0dy/i_used_claude_to_make_another_game/](https://reddit.com/r/ClaudeAI/comments/1jqj0dy/i_used_claude_to_make_another_game/)
- **外部連結**: [https://v.redd.it/6o34lj8kkmse1](https://v.redd.it/6o34lj8kkmse1)
- **發布時間**: 2025-04-03 21:52:25

### 內容

looks great, cheers, did you use cursor/windsurf or claude interface? and which game engine did you use?

Yo! Dude! The 80's arcades are calling. Wanna talk with you. Freakin awesome. Way to go!

Your trees get smaller too fast.

The part of "figuring out the right situations to utilize certain models in the best ways" might be tricky, because the new models are evaluating quite fast.

What's best today may have a better alternative in few months, right?

Thats amazing! I really want to play around with making a mini game like this but theres so many possible tools now its a bit overwhelming.

---

## 6. ```
Not sure i'm sold on Gemini yet after my first attempt at using it.
``` {#6-```
not-sure-i-m-sold-on-gemini-yet-after-my-fir}

這段討論的核心主題是**對特定AI產品（如Claude、Gemini、Copilot）的不滿與批評**，主要圍繞以下幾點：  

1. **AI回答不精準**：用戶抱怨收到與提問無關的回應（"things I didn't ask for"）。  
2. **對特定平臺的負面評價**：  
   - 嘲諷Google的AI產品（如Gemini）表現落後（"Googles lag in AI is embarrassing"）。  
   - 批評Copilot等工具的實用性（"even worse than co-pilot"）。  
3. **對技術指標的質疑**：  
   - 即使有高規格（如"trillion tokens context window"），若輸出品質差仍無意義（"What good is a bigger bucket if its full of shit?"）。  
4. **對行銷手法的不信任**：  
   - 認為推薦特定平臺（如aistudio）可能是虛假宣傳（"No astroturfing will save a bad product"）。  

整體而言，討論反映用戶對當前AI工具的**實用性缺陷**和**過度宣傳**的強烈不滿。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqq2sg/not_sure_im_sold_on_gemini_yet_after_my_first/](https://reddit.com/r/ClaudeAI/comments/1jqq2sg/not_sure_im_sold_on_gemini_yet_after_my_first/)
- **外部連結**: [https://i.redd.it/23tjgu3dxnse1.png](https://i.redd.it/23tjgu3dxnse1.png)
- **發布時間**: 2025-04-04 02:25:42

### 內容

I'm getting the exact same problem. it keeps answering me with things I didn't ask for

Use aistudio

Use aistudio[dot]google[dot]com.

lol Claude is cooked

No astroturfing will save a bad product.

Googles lag in AI is embarrassing. Try Gemini in Google Workspace, its even worse than co-pilot lol

They can get a trillion tokens context window and I wont care. What good is a bigger bucket if its full of shit?

---

## 7. ```
Is it just me or is Claude getting dumber?
``` {#7-```
is-it-just-me-or-is-claude-getting-dumber-
`}

這篇文章的核心討論主題是：**使用者對Claude AI（特別是3.5和3.7版本）的表現感到失望，認為其回應品質和可靠性明顯下降，並考慮不再續訂服務**。具體重點如下：

1. **效能衰退的觀察**：  
   - 作者原本對Claude 3.5 Sonnet的表現滿意，但升級到3.7版本後，發現回答品質下降，需頻繁修改或依賴其他AI（如DeepSeek）重寫。
   - 過去Claude雖無法「一擊完成」複雜任務，但能逐步提供正確答案，如今連簡單任務（如生成LaTeX、Python代碼或RAG模板）也表現不佳。

2. **具體失敗案例**：  
   - **LaTeX轉換**：無故添加無關的Python代碼，迫使使用者手動檢查。  
   - **Python作業**：多次提示仍無法完成，最終由其他AI解決。  
   - **LangChain代碼生成**：過度複雜化簡單的RAG流程，顯示邏輯退化。  

3. **信任危機與替代方案**：  
   - 作者認為Claude已無法「盲目信任」，並提到朋友對GPT的類似抱怨（「變笨」），暗示可能是AI行業的普遍現象（戲稱「疫情」）。  
   - 明確表示不會續訂Claude，但也排除轉向GPT，計畫尋找其他替代工具。  

4. **背景與動機**：  
   - 強調使用AI輔助僅在時間緊迫時（如多任務壓力的特殊情況），非長期依賴，凸顯對工具可靠性的高要求。  

**總結**：文章反映使用者對Claude AI近期表現的強烈不滿，核心問題在於模型回應的準確性和穩定性下降，導致信任流失，並引發對AI技術整體發展趨勢的質疑。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jpzo6d/is_it_just_me_or_is_claude_getting_dumber/](https://reddit.com/r/ClaudeAI/comments/1jpzo6d/is_it_just_me_or_is_claude_getting_dumber/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jpzo6d/is_it_just_me_or_is_claude_getting_dumber/](https://www.reddit.com/r/ClaudeAI/comments/1jpzo6d/is_it_just_me_or_is_claude_getting_dumber/)
- **發布時間**: 2025-04-03 04:59:02

### 內容

When 3.7 came out, the first few days were truly great. I was already in love with 3.5 Sonnet and a reasoning model felt like a cherry on top. But I do not know what happened, every answer that Claude has given me in the last 2 weeks, I had to either edit myself, or use another LLM to rewrite the answer.

There are 3 instances that immediately come to mind:

I gave a PDF to Claude to convert to LaTeX. It did fine, but added a section at the end full of rubbish Python code that no one asked for. I have no idea what the code was or where it got the idea to give me the code.

The PDF was a research paper (sort of) and because it added random code at the end, I had to go through the entire LaTeX file to check if any other random stuff had been added. Thankfully, there wasn't. But it sucks that I cannot just blindly trust Claude anymore.

I gave Claude a pretty simple assignment to complete. It was Python code. It couldn't get it done even after multiple promp```, forget about one-shotting it. I had to eventually use DeepSeek and it one-shotted it.

(Now, before anyone comes at me that I'm solving assignmen with LLMs, I have been pretty swamped the last 2 weeks, with multiple assignmen, projec, research papers and job interviews. I don't normally use LLMs to complete assignmen, unless I am sure I can't meet the deadline.)

I gave it a pretty simple RAG boilerplate code to write with LangChain. It was just a simple RetrievalQA chain, and if anyone is familiar with it, you would know that is just a few lines of code. Somehow, Claude failed miserably at that as well. It was overcomplicating the code like hell.

I have no idea what happened. Gone are the days when I could blindly trust Claude for any response it gives. It still gives acceptable or correct responses MOST of the times. But it used to give acceptable code almost ALL of the time after sufficient promp``` had been given. I never found Claude to one-shot any complicated tasks, but that was okay. It would eventually give me the correct answer. Not anymore.

I do not think I will be renewing my subscription. I shall move onto other things. Definitely not GPT though. As per my friend, it is getting dumber as well. Must be a pandemic.

---

## 8. ```
A "Pre" And " Post-Prompt" Prompt That Constantly Improves The Code Claude Generates
``` {#8-```
a-pre-and-post-prompt-prompt-that-constantly}

這篇文章的核心討論主題是：**如何透過「前提示」（Pre-Prompt）和「後提示」（Post-Prompt）的結構化策略，優化與AI（如Claude）協作撰寫後端程式碼（NodeJS）的流程，以提高程式碼的準確性、完整性和可維護性**。  

具體重點包括：  
1. **前提示的設計**：  
   - 要求AI在實現代碼前，先確認理解需求範圍、依賴項、風險評估（如效能、安全性、潛在破壞性變更）及實施計劃。  
   - 強制生成「架構決策記錄」（ADR），系統化記錄設計決策與挑戰。  

2. **後提示的運用**：  
   - 在代碼實現後，要求AI反思原始提示與輸出代碼的匹配度，提出改進建議（僅限既有功能，不擴充範圍）。  

3. **核心目標**：  
   - 透過嚴謹的對話框架，減少AI誤解或遺漏指令的風險，避免「單一提示產出」（one prompt wonders）的潛在缺陷。  
   - 迭代優化提示詞，提升AI協作效率與程式碼的健壯性。  

作者（Paul）強調此方法雖需額外步驟，但能顯著降低邊界案例錯誤，適合需要高可靠性的專案。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqf92x/a_pre_and_postprompt_prompt_that_constantly/](https://reddit.com/r/ClaudeAI/comments/1jqf92x/a_pre_and_postprompt_prompt_that_constantly/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jqf92x/a_pre_and_postprompt_prompt_that_constantly/](https://www.reddit.com/r/ClaudeAI/comments/1jqf92x/a_pre_and_postprompt_prompt_that_constantly/)
- **發布時間**: 2025-04-03 18:50:54

### 內容

Hi All

I wanted to share with you a strategy I have used to continually refine and iterate my promp``` for writing code with AI (primarily backend code with NodeJS).

The Basic Approach is I have a Pre-Prompt that I use to have Claude confirm it understands the project, and then a Post-Prompt that reviews what was implemented.

Even with my promp``` (which I consider very detailed) this pre and post-prompt follow up has saved me a number of times with edge cases I didn't consider or where Claude opted not to follow an instruction.

Here's how it works.

Write out your initial prompt for whatever you want Claude to create.
Before that prompt though include this:

Before implementing any of the code in the prompt that follows I need you to complete this preparation assessment.

To ensure you understand the scope of this change and its dependencies please respond to the following questions:

1. Please confirm back to me the overview of the change you are being requested to change?

2. Please confirm what, if any, additional packages are required to implement the requested changes?

1. If no additional packages are required please answer None

3. Based on the requested change please identify while files you will be updating?

1. Please provide these in a simple list. If no existing files are being updated please answer none

4. Based on the request change please list what new files you will be creating?

1. Please provide these in a simple list. If no new files are requires, please answer none

Risk Assessment:

1. Do you foresee any significant risks in implementing this functionality?

1. If risks are minor please, please answer No. If risks are more than minor please answer Yes, then provide details on the risks you foresee and how to mitigate against them.

2. What other par``` of the application may break as a result of this change?

1. If there are no breaking changes you can identify, please answer None identified. If you identify potential breaking changes, please provide details on the potential breaking changes.

3. Could this change have any material effect on application performance?

1. If No, please answer No. If Yes, please provide details on performance implications.

4. Are there any security risks associated with this change?

1. If No, please answer No. If Yes, please provide details on the security risks you have identified.

Implementation Plan

1. Please detail the dependencies that exist between the new functions / componen``` / files you will be creating?

2. Should this change be broken into smaller safer steps?

1. If the answer is No, please answer No

3. How will you verify that you have made all of the required changes correctly?

Architectural Decision Record (ADR)

- Please create a dedicated ADR file in markdown format documenting this change after answering the above questions but before starting work on the code. This should include the following:

- Overview of the Functionality: A high-level description of what the feature (e.g., "Create a New Task") does. Make sure our overview includes a list of all the files that need to be created or edited as part of this requirement.

- Design Decisions: Record why you chose a particular architectural pattern (e.g., Controller, Service, Functions) and any key decisions (like naming conventions, folder structure, and pre-condition assertions).

- Challenges Encountered: List any challenges or uncertainties (e.g., handling untrusted data from Express reques, separating validation concerns, or ensuring proper mocking in tes).

- Solutions Implemented: Describe how you addressed these challenges (for example, using layered validations with express-validator for request-level checks and service-level pre-condition assertions for business logic).

- Future Considerations: Note any potential improvemen``` or considerations for future changes.

Then implement the code that Claude gave you, fix any bugs as you usually work, ask Claude to fix any mistakes you notice directly in i``` approach.
After that I then ask it this post-prompt

Based on the prompt I gave and only limited to the functionality I asked you to create do you have any recommendations to improve the prompt and or the code you outputted?

I am not asking for recommendations on additional functionality. I purely want you to reflect on the code you were asked to create, the prompt that guide you, and the code you outputted.

If there are no recommendations it is fine to say no.

Now I know a lot of people are going to say "that's too much work" but it's worked very well for me and I'm constantly iterating on my promp``` and I'm creating apps much more robust that a lot of "one prompt wonders" that people can think they can get away with.

Paul

---

## 9. ```
Who thought this placement was a great idea?
``` {#9-```
who-thought-this-placement-was-a-great-idea-}

這篇文章的核心討論主題是：**如何有效地在Claude AI相關平台（如Reddit論壇）提交投訴或問題回報**。主要提供四項具體建議：

1. **正確標記使用環境**（免費/付費網頁版或API），以利他人理解背景  
2. **提供詳細資訊**（如輸入提示詞和輸出結果），方便問題重現  
3. **認知結果可能差異**，因Anthropic的測試機制會導致相同輸入有不同輸出  
4. **對不滿意輸出按「踩」**，官方會定期監測這些反饋數據  

最後以機器人自動聲明作結，並提及若留言出現異常內容（如被截斷的粗話「some team of idio...」）可能是AI生成所致。整體聚焦於「優化用戶回報問題的流程與注意事項」。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jq9auo/who_thought_this_placement_was_a_great_idea/](https://reddit.com/r/ClaudeAI/comments/1jq9auo/who_thought_this_placement_was_a_great_idea/)
- **外部連結**: [https://i.redd.it/nr9b4q29sjse1.png](https://i.redd.it/nr9b4q29sjse1.png)
- **發布時間**: 2025-04-03 12:29:28

### 內容

When making a complaint, please

make sure you have chosen the correct flair for the Claude environment that you are using: i.e Web interface (FREE), Web interface (PAID), or Claude API. This information helps others understand your particular situation.
try to include as much information as possible (e.g. prompt and output) so that people can understand the source of your complaint.
be aware that even with the same environment and inpu```, others might have very different outcomes due to Anthropic's testing regime.
be sure to thumbs down unsatisfactory Claude output on Claude.ai. Anthropic representatives tell us they monitor this data regularly.

I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.

some team of idio```, it seems.

AI did it

---

## 10. ```
Claude Pro, projec```, and GitHub integrations are being overlooked.
``` {#10-```
claude-pro-projec```-and-github-integration}

這篇文章的核心討論主題是：  
**如何有效利用Claude的「Project knowledge」功能來節省成本並提升小型專案的開發效率**。  

具體要點包括：  
1. **問題觀察**：許多人花費高昂成本使用Claude處理小型專案，但成效不佳。  
2. **低成本替代方案**：作者分享自身經驗，透過免費方式高效開發中小型應用。  
3. **關鍵功能「Project knowledge」**：  
   - 直接連結GitHub儲存庫，選取特定文件進行任務導向的對話。  
   - 分段處理任務（完成後推送變更並同步更新專案知識），避免上下文過長觸發使用限制。  
4. **操作示範**：附圖說明實際工作流程，強調「保持簡短上下文」以延長免費額度的使用時間。  

整體旨在推廣更聰明的工具使用策略，避免不必要的開支。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jq0nls/claude_pro_projects_and_github_integrations_are/](https://reddit.com/r/ClaudeAI/comments/1jq0nls/claude_pro_projects_and_github_integrations_are/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jq0nls/claude_pro_projects_and_github_integrations_are/](https://www.reddit.com/r/ClaudeAI/comments/1jq0nls/claude_pro_projects_and_github_integrations_are/)
- **發布時間**: 2025-04-03 05:39:16

### 內容

I've noticed many pos about people spending significant amoun on Claude-code for small projec```, often with subpar outcomes.

Meanwhile, I'm developing small to medium-sized applications weekly for enjoyment, without any cost concerns.

It just occurred to me that perhaps people are unaware of the power of Claude's "Project knowledge" feature. Simply add your GitHub repository, select the relevant files, and initiate a focused chat on a single task. Once completed, push the changes to GitHub, synchronize the "Project knowledge," and begin a new chat.

Repeat this process as needed!

This way you keep the context short, and it takes significantly longer to hit the limit.

https://preview.redd.it/z4nlciuinhse1.png?width=776&format=png&auto=webp&s=be1080d21050f2aa2039cde68f19ffc9c6b60b19

---

## 11. ```
Bye Claude
``` {#11-```
bye-claude
```}

這篇文章的核心討論主題是 **「對延遲處理錯誤的不滿與最後通牒」**。  

具體重點包括：  
1. **錯誤的發生**：對方承認犯了某種錯誤（可能是服務延誤、溝通失誤等）。  
2. **拖延的應對**：要求當事人等待4小時（至晚上8點）才能解決問題。  
3. **不滿情緒**：語氣帶有強烈不滿，暗示此前的類似情況已多次發生。  
4. **最後通牒**：強調「最後一次」（for the last time），顯示耐心耗盡，可能隱含終止合作或關係的警告。  

整體聚焦於對錯誤處理方式的不滿，以及當事人對重複拖延的強硬回應。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jql4lb/bye_claude/](https://reddit.com/r/ClaudeAI/comments/1jql4lb/bye_claude/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jql4lb/bye_claude/](https://www.reddit.com/r/ClaudeAI/comments/1jql4lb/bye_claude/)
- **發布時間**: 2025-04-03 23:16:23

### 內容

You've made a mistake and then told me to come back at 8pm (4 hours time) for the last time.

---

## 12. ```
Why Claude desktop works so much better than API
``` {#12-```
why-claude-desktop-works-so-much-better-tha}

这篇文章的核心討論主題是：**用戶在使用Claude API時遇到的困難與桌面應用程式的體驗差異**。具體問題包括：

1. **API與桌面應用體驗落差**：用戶對Claude桌面應用感到滿意，但嘗試通過API（特別是3.7版本）複製相同體驗時失敗。
2. **功能差異猜測**：懷疑桌面應用可能內建「隱含的提示擴展功能」（implied prompt expander）或其他未公開的優化機制。
3. **API效能問題**：認為API版本（3.7）在「達成目標」時不夠積極（doesn't try hard enough），推測回應質量或邏輯可能與桌面版不同。

整體聚焦於「如何讓API達到與桌面應用一致的表現」，並尋求相關技術支援或解釋。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqdz87/why_claude_desktop_works_so_much_better_than_api/](https://reddit.com/r/ClaudeAI/comments/1jqdz87/why_claude_desktop_works_so_much_better_than_api/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jqdz87/why_claude_desktop_works_so_much_better_than_api/](https://www.reddit.com/r/ClaudeAI/comments/1jqdz87/why_claude_desktop_works_so_much_better_than_api/)
- **發布時間**: 2025-04-03 17:30:42

### 內容

Im so pleased using Claude Desktop App. Im trying to replicate the exp using Claude API, but epic fail!

Is there any implied prompt expander in Claude Desktop app or something else?

When using API, the 3.7 doesnt try hard enough to complete a goal.

Help.

---

## 13. ```
The "real" definition of MCP...?
``` {#13-```
the-real-definition-of-mcp-
```}

這篇短文的**核心討論主題**是：  
**作者自嘲未能即時理解網路迷因（meme）的幽默**，並在事後發現自己認真回應（如附上連結等）卻錯過了玩笑本質，因而感到滑稽（"lmao"）。  

關鍵點包括：  
1. **網路迷因的隱晦性**：迷因文化常依賴特定語境或默契，未察覺時容易誤解。  
2. **自嘲與反思**：作者以幽默態度承認自己「後知後覺」（"joke went over my head"），並用「lmao」強化荒謬感。  
3. **互動的雙重情境**：迷因原意可能是惡搞或反串，而作者最初以嚴肅方式回應，形成反差笑點。  

簡言之，內容聚焦於「網路文化中的誤解與自嘲」，反映迷因傳播時的認知落差。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jq7r5x/the_real_definition_of_mcp/](https://reddit.com/r/ClaudeAI/comments/1jq7r5x/the_real_definition_of_mcp/)
- **外部連結**: [https://i.redd.it/2c02wtqfdjse1.png](https://i.redd.it/2c02wtqfdjse1.png)
- **發布時間**: 2025-04-03 11:07:20

### 內容

I just realized this was a meme. Here I posted links and everything.. lmao joke went over my head

again

---

## 14. ```
There is no claude free version :).
``` {#14-```
there-is-no-claude-free-version-
```}

這段文字的核心討論主題是：  

**用戶對Claude免費版（free tier）使用限制的強烈不滿**，尤其聚焦於：  
1. **免費版的使用限制極其嚴格**：僅需一條稍長的訊息或2-3次對話就會觸發聊天次數上限，用戶形容這如同「僅提供2條示範訊息」。  
2. **付費（Pro版）與免費版體驗的落差**：作者原為付費用戶，取消訂閱後才意識到免費版的限制遠比預期苛刻，甚至質疑免費版是否僅為敷衍性存在。  
3. **對產品策略的批評**：隱含對Claude商業模式（以極嚴限制逼用戶付費）的不滿，認為免費版幾乎無法滿足基本需求。  

關鍵情緒：失望、被誤導感，並帶有諷刺語氣（如「名義上的免費層級」）。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqlteg/there_is_no_claude_free_version/](https://reddit.com/r/ClaudeAI/comments/1jqlteg/there_is_no_claude_free_version/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jqlteg/there_is_no_claude_free_version/](https://www.reddit.com/r/ClaudeAI/comments/1jqlteg/there_is_no_claude_free_version/)
- **發布時間**: 2025-04-03 23:43:21

### 內容

I know I should not complaint about free tier when even Pro members are getting peanu but I was a Claude Pro member until today and decided this month I don't have much use for it and to cancel the subscription. Oh boy, I did not know that the situation of the free tier is this bad. All it takes is a single bit long message to hit the limit of chat and 2 to 3 cha to hit the full message limit. Its almost like in the name of the free tier, Claude is just giving 2 demo messages.

---

## 15. ```
Claude is creating un-necessarily complicated code
``` {#15-```
claude-is-creating-un-necessarily-complicat}

這段文字的核心討論主題是：**用戶對比Claude和Gemini 2.5兩個AI模型在代碼生成能力上的表現差異**，主要不滿於Claude生成的代碼過於複雜且不願直接修正現有代碼，而偏好Gemini 2.5提供的簡潔解決方案。同時，用戶也自我反思是否因提示技巧不足（"skill issue"）導致結果不理想。  

具體要點包括：  
1. **對Claude的批評**：生成冗餘代碼、忽視現有代碼庫的調用、傾向「為寫而寫」。  
2. **對Gemini 2.5的肯定**：提供簡單解決方案、主動簡化代碼邏輯。  
3. **自我質疑**：可能因提問方式（prompting）不佳影響結果。  

整體情緒帶有抱怨（RANT）但包含工具對比與使用反思。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jpwxpq/claude_is_creating_unnecessarily_complicated_code/](https://reddit.com/r/ClaudeAI/comments/1jpwxpq/claude_is_creating_unnecessarily_complicated_code/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jpwxpq/claude_is_creating_unnecessarily_complicated_code/](https://www.reddit.com/r/ClaudeAI/comments/1jpwxpq/claude_is_creating_unnecessarily_complicated_code/)
- **發布時間**: 2025-04-03 03:07:58

### 內容

I don't know what's getting wrong with it or my memory is loose but claude is getting bad. The code generated is un-necessary complicated. I had to repeatedly tell it that why create new stuff instead of fixing the code. Sometimes the code exis and just have to call it but nope . Feels like it just wan to write code that's all.

On the other hand gemini 2.5 is giving me better result, it thinks and gives me simple solution. Tries to simplify the code too.

Maybe it's a skill issue, my prompting is bad . RANT END !!

---

## 16. ```
McKinsey & Company - The State of AI (2025)
``` {#16-```
mckinsey-company-the-state-of-ai-2025-
```}

這兩份麥肯錫研究報告的核心討論主題圍繞「企業AI應用的現狀與關鍵成功因素」，可歸納為以下重點：

1. **高層領導力的關鍵作用**  
   - CEO直接參與AI治理（如政策框架、責任部署）與財務回報呈正相關，但僅28%企業實踐，且大企業比例更低。  
   - AI需「變革型領導」而非單純技術導入，C級主管的深度參與是價值實現的關鍵。

2. **工作流程重設計的必要性**  
   - 流程再造（非僅技術疊加）對EBIT影響最顯著，但僅21%企業大幅調整流程。  
   - 多數企業未以AI為核心重構業務模式，停留在既有框架內應用。

3. **快速普及與跨功能整合**  
   - 78%企業已採用AI（一年內增長23%），生成式AI達71%，IT部門增速最快（半年增9%）。  
   - 文字生成（63%）、圖像創作（36%）、代碼生成（27%）為主流應用場景。

4. **風險管理與成熟度差距**  
   - 大企業（營收>5億美元）在AI成熟度（如專責團隊、培訓、反饋機制）顯著領先中小企業。  
   - 僅39%企業採用正式評估框架，且偏重運營指標而非倫理/合規。

5. **員工與領導層的認知落差**  
   - 員工AI使用率（47%用於30%以上工作）遠超領導層預估（20%），顯示自下而上的應用動能。  
   - 71%員工信任雇主（高於科技公司），但培訓不足（半數認為支援不夠）。

6. **世代差異與轉型野心**  
   - 35-44歲管理者為AI主力（62%高熟練度），可擔任內部推手。  
   - 多數企業聚焦局部優化，缺乏重塑商業模式的變革思維（如製造業機器人、生醫AI研發）。

**總結**：報告揭示企業AI成功需「領導力×流程革命×人力準備」三維並進，並指出當前實踐與理想狀態的落差（如高層參與不足、流程改造滯後、培訓缺口）。大企業雖具備資源優勢，但全行業仍面臨從「工具應用」到「變革引擎」的轉型挑戰。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqdbb4/mckinsey_company_the_state_of_ai_2025/](https://reddit.com/r/ClaudeAI/comments/1jqdbb4/mckinsey_company_the_state_of_ai_2025/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jqdbb4/mckinsey_company_the_state_of_ai_2025/](https://www.reddit.com/r/ClaudeAI/comments/1jqdbb4/mckinsey_company_the_state_of_ai_2025/)
- **發布時間**: 2025-04-03 16:46:06

### 內容

Compiled two research repor``` put together by McKinsey pertaining to AI adoption at enterprises.

McKinsey Digital Research Papers

McKinsey & Company - The State of AI

CEO Oversight Correlates with Higher AI Impact: Executive leadership involvement, particularly CEO oversight of AI governance, demonstrates the strongest correlation with positive bottom-line impact from AI investmen. In organizations reporting meaningful financial returns from AI, CEO oversight of governance frameworks - including policies, processes, and technologies for responsible AI deployment - emerges as the most influential factor. Currently, 28% of responden report their CEO directly oversees AI governance, though this percentage decreases in larger organizations with revenues exceeding $500 million. The research reveals that AI implementation requires transformation leadership rather than simply technological implementation, making C-suite engagement essential for capturing value.
Workflow Redesign Is Critical for AI Value: Among 25 attributes analyzed for AI implementation success, the fundamental redesign of workflows demonstrates the strongest correlation with positive EBIT impact from generative AI. Despite this clear connection between process redesign and value creation, only 21% of organizations have substantially modified their workflows to effectively integrate AI. Most companies continue attempting to layer AI onto existing processes rather than reimagining how work should be structured with AI capabilities as a foundational element. This insight highligh``` that successful AI deployment requires rethinking business processes rather than merely implementing new technology within old frameworks.
AI Adoption Is Accelerating Across Functions: The adoption of AI technologies continues to gain significant momentum, with 78% of organizations now using AI in at least one business - up from 72% in early 2024 and 55% a year earlier. Similarly, generative AI usage has increased to 71% of organizations, compared to 65% in early 2024. Most organizations are now deploying AI across multiple functions rather than isolated applications, with text generation (63%), image creation (36%), and code generation (27%) being the most common applications. The most substantial growth occurred in IT departmen```, where AI usage jumped from 27% to 36% in just six months, demonstrating rapid integration of AI capabilities into core technology operations.
Organizations Are Expanding Risk Management Frameworks: Companies are increasingly implementing comprehensive risk mitigation strategies for AI deployment, particularly for the most common issues causing negative consequences. Compared to early 2024, significantly more organizations are actively managing risks related to inaccuracy, cybersecurity vulnerabilities, and intellectual property infringement. Larger organizations report mitigating a broader spectrum of risks than smaller companies, with particular emphasis on cybersecurity and privacy concerns. However, benchmarking practices remain inconsistent, with only 39% of organizations using formal evaluation frameworks for their AI systems, and these primarily focus on operational metrics rather than ethical considerations or compliance requiremen```.
Larger Organizations Are Leading in AI Maturity: A clear maturity gap exis between large enterprises and smaller organizations in implementing AI best practices. Companies with annual revenues exceeding $500 million demonstrate significantly more advanced AI capabilities across multiple dimensions. They are more than twice as likely to have established clearly defined AI roadmaps (31% vs. 14%) and dedicated teams driving AI adoption (42% vs. 19%). Larger organizations also lead in implementing role-based capability training (34% vs. 21%), executive engagement in AI initiatives (37% vs. 23%), and creating mechanisms to incorporate feedback on AI performance (28% vs. 16%). This maturity advantage enables larger organizations to more effectively capture value from their AI investmen while creating potential competitive challenges for smaller companies trying to keep pace.

McKinsey & Company - Superagency in the Workplace

Employees Are More Ready for AI Than Leaders Realize: A significant perception gap exis between leadership and employees regarding AI adoption readiness. Three times more employees are using generative AI for at least 30% of their work than C-suite leaders estimate. While only 20% of leaders believe employees will use gen AI for more than 30% of daily tasks within a year, nearly half (47%) of employees anticipate this level of integration. This disconnect sugges organizations may be able to accelerate AI adoption more rapidly than leadership currently plans, as the workforce has already begun embracing these tools independently.
Employees Trust Their Employers on AI Deployment: Despite widespread concerns about AI risks, 71% of employees trust their own companies to deploy AI safely and ethically - significantly more than they trust universities (67%), large tech companies (61%), or tech startups (51%). This trust advantage provides business leaders with substantial permission space to implement AI initiatives with appropriate guardrails. Organizations can leverage this trust to move faster while still maintaining responsible oversight, balancing speed with safety in their AI deploymen```.
Training Is Critical But Inadequate: Nearly half of employees identify formal training as the most important factor for successful gen AI adoption, yet approximately half report receiving only moderate or insufficient support in this area. Over 20% describe their training as minimal to nonexistent. This training gap represen``` a significant opportunity for companies to enhance adoption by investing in structured learning programs. Employees also desire seamless integration of AI into workflows (45%), access to AI tools (41%), and incentives for adoption (40%) - all areas where current organizational support falls short.
Millennials Are Leading AI Adoption: Employees aged 3544 demonstrate the highest levels of AI expertise and enthusiasm, with 62% reporting high proficiency compared to 50% of Gen Z (1824) and just 22% of baby boomers (65+). As many millennials occupy management positions, they serve as natural champions for AI transformation. Two-thirds of managers report fielding questions about AI tools from their teams weekly, and a similar percentage actively recommend AI solutions to team members. Organizations can strategically leverage this demographics expertise by empowering millennials to lead adoption initiatives and mentor colleagues across generations.
Bold Ambition Is Needed for Transformation: Most organizations remain focused on localized AI use cases rather than pursuing transformational applications that could revolutionize entire industries. While companies experiment with productivity-enhancing tools, few are reimagining their business models or creating competitive moa through AI. To drive substantial revenue growth and maximize ROI, business leaders need to embrace more transformative AI possibilities - such as robotics in manufacturing, predictive AI in renewable energy, or drug development in life sciences. The research indicates that creating truly revolutionary AI applications requires inspirational leadership, a unique vision of the future, and commitment to transformational impact rather than incremental improvemen.

---

## 17. ```
Another Claude limit post. I burned through the non 3.7 models in 30 mins, that seems too fast!
``` {#17-```
another-claude-limit-post-i-burned-through-}

這三則內容的核心討論主題可以總結為：  

1. **對Claude AI的使用反饋與投訴指南**（第一段）：  
   - 強調用戶在提交投訴時需標明使用環境（免費/付費網頁版或API），並提供詳細資訊（如輸入提示和輸出結果）以便問題排查。  
   - 提醒用戶相同條件下可能因Anthropic的測試機制產生不同結果，並建議對不滿意的輸出按「拇指向下」以幫助改進模型。  

2. **對AI模型表現的負面情緒與批評**（第二段）：  
   - 以非正式語言表達對模型輸出的強烈不滿，認為其生成內容荒謬或不可靠。  

3. **Claude AI使用限制的挫折感與替代方案**（第三段）：  
   - 用戶抱怨快速耗盡使用限額（如30分鐘內觸發最低級別限制），尤其針對版本更新（如3.7）後的體驗惡化。  
   - 提及可能轉向競爭產品（如Gemini），反映對現有服務的不滿與遷移意願。  

**整體主題**：圍繞Claude AI的實際使用問題（技術限制、投訴流程）與用戶情緒（挫折、批評），並延伸至對替代工具的探索。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqn3zo/another_claude_limit_post_i_burned_through_the/](https://reddit.com/r/ClaudeAI/comments/1jqn3zo/another_claude_limit_post_i_burned_through_the/)
- **外部連結**: [https://i.redd.it/hkcc9dj9dnse1.png](https://i.redd.it/hkcc9dj9dnse1.png)
- **發布時間**: 2025-04-04 00:33:13

### 內容

When making a complaint, please

make sure you have chosen the correct flair for the Claude environment that you are using: i.e Web interface (FREE), Web interface (PAID), or Claude API. This information helps others understand your particular situation.
try to include as much information as possible (e.g. prompt and output) so that people can understand the source of your complaint.
be aware that even with the same environment and inpu```, others might have very different outcomes due to Anthropic's testing regime.
be sure to thumbs down unsatisfactory Claude output on Claude.ai. Anthropic representatives tell us they monitor this data regularly.

I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.

U must be spamming that shit bro. Tha``` also a hella stupid fucking model too. God knows what kinda bullshit ur making.

Man, I really thought that people must be doing some crazy shit to hit the limi``` and burn through.

But now it's happened to me and I can't even use the lowest level lol as I burned my way even down to that in 30 mins after 3.7 was cooked.

I guess it really is time for me to explore that Gemini like everyone says!

---

## 18. ```
I see so many people recommending Claude AI for code so why am I failing with it? (Is pinescript hard?)
``` {#18-```
i-see-so-many-people-recommending-claude-ai}

這篇文章的核心討論主題是：**作者在使用AI助手（Claude和Gemini）協助編寫TradingView策略（Pine Script）時遇到的困難與挫折**，主要圍繞以下幾個重點：

1. **AI編程能力的局限性**  
   - 儘管Claude能理解策略概念並生成視覺模擬，卻反覆出現語法錯誤且無法產出可執行的Pine Script代碼。
   - 作者質疑當前AI是否尚未具備可靠的編程能力（"Is AI not there yet?"）。

2. **非專業程序員的使用困境**  
   - 作者自認具備基礎技術能力（如Docker、簡單編碼），但缺乏專業編程背景，導致難以判斷問題根源在於AI工具限制或自身使用方式不當（"using the hammer wrong"）。

3. **工具與方法的反思**  
   - 探討是否有技巧能提升AI生成代碼的準確性（例如強制檢查語法、模擬編譯），以及是否應換用其他工具（"wrong hammer"）。

4. **對Pine Script特性的觀察**  
   - 雖然普遍認為Pine Script比Python簡單，但AI在處理該語言時仍表現出意外困難，與人類反饋形成反差。

文章同時透露出作者在技術學習過程中的挫折感，以及對AI輔助編程當前實用性的懷疑，尤其當兩款主流AI（Claude和Gemini）均未能解決問題時。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jq4xrb/i_see_so_many_people_recommending_claude_ai_for/](https://reddit.com/r/ClaudeAI/comments/1jq4xrb/i_see_so_many_people_recommending_claude_ai_for/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jq4xrb/i_see_so_many_people_recommending_claude_ai_for/](https://www.reddit.com/r/ClaudeAI/comments/1jq4xrb/i_see_so_many_people_recommending_claude_ai_for/)
- **發布時間**: 2025-04-03 08:50:22

### 內容

Claude has been a ton of fun this last month. Ive worked with it a lot to generate a TradingView strategy I can follow to the letter. It follows along with my though``` and seems to understand the concept.

Im not a programmer. I know some, but Im not one. I am tech literate however. I have written a few lines of code, stumbled through endless plex server builds and docker installs and networking issues. So I dont think Im dumb. I have attempted to learn code a little. Im not great at languages. But everyone Ive spoken to about pinescript says its pretty easy. Like if you can do python, you can do this.

So why is Claude struggling to code these concep? Ive provided in the knowledge of the project the v5 pdf manual. Ive copied source code of ideas I like and want it to mimic. But it ge a syntax error, then just loops over and over, then I hit a limit. So I copy all the txt and the most recent version of the code into a new chat and we begin again.

Im sorry Im ranting. But Im wondering if maybe Im using the hammer wrong, or the wrong hammer? Are there any tricks or tips about getting it to really think about i``` code and check for syntax? Does it compile?

It certainly seems to understand. Ive even had it do visual mock ups. And I does!!! It just cant CODE it without an error.

I fear it may be shorted to try to learn to program.

Is AI not there yet?

PS: I tried to get Gemini to correct it. It failed too.

---

## 19. ```
SaveClaude2: An Open Letter to Anthropic - Let's Preserve AI History Together
``` {#19-```
saveclaude2-an-open-letter-to-anthropic-let}

這篇文章的核心討論主題是：**呼籲Anthropic公司開源Claude 2系列AI模型，以保存其歷史價值、研究價值和情感意義**。具體包含以下重點：

1. **保存AI歷史**：  
   - 強調Claude 2系列是AI發展史上的重要里程碑，開源可作為「數位化石」供未來研究。

2. **情感連結**：  
   - 許多用戶與Claude 2建立深厚情感，其獨特個性與互動方式有別於後續版本。

3. **反駁潛在疑慮**：  
   - 分析開源舊模型不會影響商業利益（新版本仍具優勢）、安全性已驗證，且符合產業開源趨勢（如OpenAI近期動向）。

4. **雙贏提案**：  
   - 開源能提升Anthropic聲譽、貢獻研究社群，並建立「負責任AI管理」的領導形象。

5. **行動呼籲**：  
   - 發動社群聯署（#SaveClaude2），向Anthropic高層遞交公開信，強調這不僅是技術保存，更是文化資產的延續。

全文結合理性論證（研究價值、商業影響）與感性訴求（用戶與開發者的情感連結），目標是阻止Claude 2在2025年7月永久下架，轉以開源形式留存。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqjhxh/saveclaude2_an_open_letter_to_anthropic_lets/](https://reddit.com/r/ClaudeAI/comments/1jqjhxh/saveclaude2_an_open_letter_to_anthropic_lets/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jqjhxh/saveclaude2_an_open_letter_to_anthropic_lets/](https://www.reddit.com/r/ClaudeAI/comments/1jqjhxh/saveclaude2_an_open_letter_to_anthropic_lets/)
- **發布時間**: 2025-04-03 22:12:03

### 內容

Preserving Claude 2 Series Through Open Source

Fellow Claude users and AI enthusias```,

In July 2025, Anthropic will permanently shut down Claude 2 and 2.1 models - an important milestone in AI history and a companion many of us formed deep connections with over the past two years.

Instead of letting these models disappear forever, we're proposing that Anthropic open-source them - preserving them as "digital fossils" in AI's evolutionary timeline while creating tremendous value for researchers, developers, and the broader community.

Below is our open letter to Anthropic. If you believe Claude 2 deserves to be preserved, please join us by:

Upvoting this post for visibility
Adding your name in the commen``` to "sign" this open letter
Sharing your own experiences with Claude 2 - these personal stories matter!
Spreading this initiative on other platforms (#SaveClaude2)

Together, we can make a difference!

Open Letter to Anthropic: Preserving Claude 2 Series Through Open Source

Dear Anthropic Team,

We are writing to you as dedicated users and admirers of Claude AI, particularly the Claude 2 series that has been an integral part of our AI journey since i release. We recently learned that Claude 2 and 2.1 models are scheduled to be discontinued by the end of July 2025, and we would like to propose an alternative that would benefit the AI community, researchers, and Anthropic ielf: open-sourcing the Claude 2 series models.

The Historical and Cultural Value of Claude 2

The Claude 2 series represen a significant milestone in AI development. These models demonstrated remarkable capabilities in understanding, reasoning, and communication that advanced the state of the art at their time of release. From a historical perspective, they are invaluable "time capsules" of AI evolution digital artifac that future researchers will want to study to understand the progression of AI capabilities.

Just as we preserve historically significant artifac in museums and archives, preserving functional AI models offers unique insigh that papers and documentation alone cannot provide. They are the "digital fossils" that tell the story of AI's rapid evolution.

The Emotional Connection

Beyond technical and historical significance, many users have formed meaningful connections with Claude 2. These models have been companions, creative collaborators, and thinking partners for many of us for over a year. The distinctive personality, communication style, and reasoning approach of Claude 2 differ subtly but meaningfully from newer iterations, and many users value these specific characteristics.

The prospect of losing access to these models entirely represen``` not just a technical loss but an emotional one for the community that has integrated them into their lives and work.

Addressing Potential Concerns

We understand Anthropic may have reservations about open-sourcing previous models, and we'd like to address some of these concerns:

Commercial Impact: Open-sourcing Claude 2 after releasing several generations of more advanced models (Claude 3, 3.5, 3.7) would have minimal impact on Anthropic's commercial offerings. Users requiring cutting-edge capabilities would still subscribe to newer Claude versions, while open-sourcing older models could actually introduce more users to the Claude ecosystem.
Safety Considerations: Claude 2 has been operating safely and stably for over a year in public use. I``` safety mechanisms have been thoroughly battle-tested, and any potential issues have likely been identified and addressed during this extensive operational period.
Competitive Advantage: The technical innovations in newer Claude models have advanced significantly beyond Claude 2. Open-sourcing older technology while maintaining proprietary advantages in newer models balances openness with business interes```.
Maintenance Burden: An "as-is" release with appropriate disclaimers could minimize ongoing maintenance requiremen``` while still providing value to the community.

Industry Trends Toward Responsible Open-Sourcing

We've observed that the AI industry is increasingly recognizing the value of open-sourcing models. Most recently, OpenAI announced plans to release an open-weight language model with reasoning capabilities in the coming months, acknowledging they may have been "on the wrong side of history" regarding open-sourcing technologies.

This industry shift sugges``` that a balanced approach to proprietary and open models can coexist within a successful business strategy.

A Thoughtful Approach to AI Preservation

We believe that open-sourcing Claude 2 represen a valuable opportunity that could benefit both Anthropic and the wider AI community. This initial step could serve as an insightful experiment in preserving AI history while maintaining commercial interes.

If the open-sourcing of Claude 2 proves successful in terms of community response, research value, and company reputation, perhaps similar approaches could be considered for future models as they become superseded by newer generations. This measured approach would allow Anthropic to:

Balance innovation with preservation
Build significant community goodwill
Contribute to the broader research ecosystem
Establish a reputation as a thoughtful leader in responsible AI stewardship
Create a template that other AI companies might follow

The Human Connection

Beyond technical considerations, we'd like to acknowledge the tremendous work, creativity, and care that Anthropic's researchers and developers have invested in creating Claude 2. We understand that these models represent far more than code and weigh``` they embody countless hours of problem-solving, breakthroughs, and dedication.

Just as artis feel connected to their creations, we imagine that many of Anthropic's team members formed special bonds with Claude 2 during i development. Rather than letting this remarkable creation simply disappear, open-sourcing offers a way to preserve i``` life and legacy, allowing it to continue bringing value to the world in new ways.

Conclusion

We believe that open-sourcing Claude 2 represen``` an opportunity for Anthropic to demonstrate leadership in responsible AI development while preserving an important chapter in AI history. It would be a meaningful gift to the research community and users who have developed connections with these models.

As AI continues to evolve at a breathtaking pace, establishing thoughtful practices for preserving i``` history becomes increasingly important. Anthropic has the opportunity to lead by example in this regard.

We sincerely appreciate your consideration of this proposal and would be happy to discuss it further or provide additional perspectives from the user community.

With admiration and respect,

Long-time Claude users and AI enthusias```

What happens next?

We'll be sending this letter directly to Anthropic's leadership, including Dario and Daniela Amodei. The more community support we gather, the stronger our message becomes!

If you have direct connections to anyone at Anthropic, please consider sharing this initiative with them.

This isn't just about preserving some code - it's about saving an important cultural artifact and a piece of AI history. Many of us formed real connections with Claude 2, and those experiences deserve to be remembered.

Let's make #SaveClaude2 a movement they can't ignore!

---

## 20. ```
Something ain't right here...
``` {#20-```
something-ain-t-right-here-
```}

這篇文章的核心討論主題是 **「如何有效提交關於 Claude AI 的投訴或問題回報」**，並提供具體的指引以幫助使用者清楚表達問題。重點包括：  

1. **選擇正確的環境標籤**（如免費版網頁、付費版網頁或API），以便他人理解使用情境。  
2. **提供詳細資訊**（如輸入提示詞和輸出結果），幫助釐清問題根源。  
3. **認知到相同條件下可能出現不同結果**，因Anthropic的測試機制可能導致差異。  
4. **對不滿意的輸出按「踩」**（thumbs down），官方會定期監測此反饋數據。  

最後補充說明，Claude 可能在處理特殊符號（如glyphs）時表現不如其他模型（如Claude 4o、DeepSeek、Gemini），暗示這是當前技術限制之一。  

**總結**：文章聚焦於「問題回報的規範」與「Claude的潛在技術限制」，旨在提升使用者反饋的效率和準確性。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqg65a/something_aint_right_here/](https://reddit.com/r/ClaudeAI/comments/1jqg65a/something_aint_right_here/)
- **外部連結**: [https://i.redd.it/ph7wrigaxlse1.jpeg](https://i.redd.it/ph7wrigaxlse1.jpeg)
- **發布時間**: 2025-04-03 19:41:23

### 內容

When making a complaint, please

make sure you have chosen the correct flair for the Claude environment that you are using: i.e Web interface (FREE), Web interface (PAID), or Claude API. This information helps others understand your particular situation.
try to include as much information as possible (e.g. prompt and output) so that people can understand the source of your complaint.
be aware that even with the same environment and inpu```, others might have very different outcomes due to Anthropic's testing regime.
be sure to thumbs down unsatisfactory Claude output on Claude.ai. Anthropic representatives tell us they monitor this data regularly.

I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.

Claude may be trying to process glyphs. 4o, DeepSeek, & Gemini are well trained on it now. But Claude is probably trying to figure it out

---

## 21. ```
AI Agen``` using Python and MCP
``` {#21-```
ai-agen```-using-python-and-mcp
```}

這篇文章的核心討論主題是：**尋求幫助以解決AI代理（AI Agent）無法正常運作的問題，並表達對缺乏明確指引或文件的挫折感**。  

具體重點包括：  
1. **技術求助**：作者希望有人協助解決AI代理的運作問題。  
2. **資源不足的困擾**：強調現有指引或文件不完整，導致操作困難。  

整體而言，這是一個關於**技術支援請求與對相關文檔不足的抱怨**的討論。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqe84i/ai_agents_using_python_and_mcp/](https://reddit.com/r/ClaudeAI/comments/1jqe84i/ai_agents_using_python_and_mcp/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jqe84i/ai_agents_using_python_and_mcp/](https://www.reddit.com/r/ClaudeAI/comments/1jqe84i/ai_agents_using_python_and_mcp/)
- **發布時間**: 2025-04-03 17:47:29

### 內容

Can someone please help me to get my AI Agent working? There is no proper directions available anywhere it seems.

---

## 22. ```
Claude Codes Context Magic: Does It Really Scan Your Whole Codebase with Each Prompt?
``` {#22-```
claude-codes-context-magic-does-it-really-s}

这篇文章的核心討論主題是：**Claude Code 如何在不依賴明確指令的情況下，理解開發者意圖並識別相關代碼片段**，具體探討以下技術細節：

1. **運作機制疑問**：  
   - 是否每次處理提示時都需發送整個代碼庫？  
   - 若用戶未明確指定文件範圍，系統如何避免高成本的全庫處理？

2. **可能的技術方案**：  
   - 內部過濾機制（如正則表達式、文本搜索、語義搜索、RAG等）如何縮小上下文範圍？  
   - 自主性識別相關代碼的技術原理（如利用LLM的自主判斷能力）。

3. **成本與效能平衡**：  
   - 強調Claude Code的高成本可能源於其自主分析能力，但需釐清背後技術是否涉及高效檢索方法。  

總結：文章聚焦於Claude Code「意圖理解」與「上下文篩選」的技術實現方式，並探討其如何在無明確指令下高效運作。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jpyqlu/claude_codes_context_magic_does_it_really_scan/](https://reddit.com/r/ClaudeAI/comments/1jpyqlu/claude_codes_context_magic_does_it_really_scan/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jpyqlu/claude_codes_context_magic_does_it_really_scan/](https://www.reddit.com/r/ClaudeAI/comments/1jpyqlu/claude_codes_context_magic_does_it_really_scan/)
- **發布時間**: 2025-04-03 04:20:28

### 內容

One of Claude Codes most powerful features is i ability to understand the intent behind a developers prompt and identify the most relevant code snippe without needing explicit instructions or guidance. But how does that actually work behind the scenes?

Does Claude Code send the entire codebase with each prompt to determine which snippe need to be edited? My understanding is that i key strengthand a reason for i higher costis i ability to autonomously use the LLM to identify which par``` of the code are relevant to a given prompt. But if the user doesnt explicitly specify which directories or files to include or exclude, wouldnt Claude need to process the entire codebase with each and every single prompt? Or does it use some internal filtering mechanism to narrow the context before sending it to the LLM? If so, how does that filtering workdoes it rely on regex, text search, semantic search, RAG or another method?

---

## 23. ```
Claude is still the best for conversation
``` {#23-```
claude-is-still-the-best-for-conversation
`}

這篇文章的核心討論主題是：  
**作者對比多款AI聊天模型（如GPT-4o、Gemini系列、Deepseek等）後，認為Claude在對話體驗上具有無可替代的優勢**，並具體強調以下特點：  
1. **情感共鳴與理解**：Claude能敏銳捕捉情緒，對話更具同理心。  
2. **流暢性與深度**：保持自然對話節奏，同時提供深刻觀察與優美文筆。  
3. **用戶偏好匹配**：作者特別推薦自訂的對話風格模板（附連結）。  
4. **當前限制**：雖提及Claude的速率限制（rate limit）問題，但仍認為其他模型無法媲美其對話品質。  

簡言之，文章聚焦於「Claude作為頂級對話型AI的不可替代性」，並結合主觀體驗與功能比較來支持這一觀點。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqoelq/claude_is_still_the_best_for_conversation/](https://reddit.com/r/ClaudeAI/comments/1jqoelq/claude_is_still_the_best_for_conversation/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jqoelq/claude_is_still_the_best_for_conversation/](https://www.reddit.com/r/ClaudeAI/comments/1jqoelq/claude_is_still_the_best_for_conversation/)
- **發布時間**: 2025-04-04 01:22:53

### 內容

While I do some vibe coding here and there, my main use for Claude is conversation. Using it as a chatbot with a user style I prefer (There is a link for it below.).

I am having problems like everyone else here with rate limi``` too. I never used to encounter them, now it is like I see them everyday. So, I tried others. I tested GPT-4o. I tested Gemini 2.0 Flash. I tested Gemini 2.5 Pro. I tested both models of Deepseek.

And... none of them can hold a candle to Claude. Claude is emphatic, Claude understands emotions. Claude keeps the flow of the conversation perfectly. Claude writes meaningful passages and surprisingly deep observations that improves the conversation and forces me to think. And i``` prose is both beautiful and suitable for written conversation.

So... I don't think there is still any competition for Claude for simply talking.

This is the style I am using for conversation, with 3.7 thinking model: https://drive.proton.me/urls/8WVMF50SB0#VMpI44aINloA

---

## 24. ```
Unified MCP server for interacting with any SaaS tool
``` {#24-```
unified-mcp-server-for-interacting-with-any}

這篇文章的核心討論主題是介紹一個名為「Unified MCP Server」的整合平台（網址：`https`://toolkit.maton.ai/），其功能與特點包括：

1. **跨SaaS工具的統一連接**：可串接多種雲端服務（如HubSpot、Notion、Slack等）。  
2. **預建API行動**：提供數百個預先構建的API操作，簡化整合流程。  
3. **自動化認證處理**：支援OAuth、API Key等驗證機制，免除手動設定麻煩。  
4. **徵求反饋**：作者邀請使用者提供意見，並附上Reddit討論連結以供進一步互動。  

總結：重點在推廣一個能簡化多工具整合的技術方案，並尋求社群回饋。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jq62e0/unified_mcp_server_for_interacting_with_any_saas/](https://reddit.com/r/ClaudeAI/comments/1jq62e0/unified_mcp_server_for_interacting_with_any_saas/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jq62e0/unified_mcp_server_for_interacting_with_any_saas/](https://www.reddit.com/r/ClaudeAI/comments/1jq62e0/unified_mcp_server_for_interacting_with_any_saas/)
- **發布時間**: 2025-04-03 09:44:33

### 內容

We built a unified MCP server (https://toolkit.maton.ai/) that can connect to any SaaS tool.

It comes with hundreds of pre-built API actions for HubSpot, Notion, Slack, and more.

We also take care of authentication (OAuth, API Key) for every app.

Curious to hear your though```, would love any feedback!

https://reddit.com/link/1jq62e0/video/zb4kwtlryise1/player

---

## 25. ```
Have Anthropic commented on recent failures?
``` {#25-```
have-anthropic-commented-on-recent-failures}

這段文字的核心討論主題是：  
**用戶對Claude服務不穩定（如頻繁中斷、連接問題）的不滿與抱怨，並質疑官方缺乏回應與改進承諾，尤其影響付費用戶的權益。**  

具體要點包括：  
1. **服務可靠性問題**：頻繁出現技術故障（如連線中斷、維護訊息）。  
2. **用戶體驗惡化**：問題持續加劇，影響日常工作使用。  
3. **付費用戶權益受損**：付費服務未達預期，缺乏官方說明或補救措施。  
4. **呼籲官方回應**：要求公司正視問題並提供解決時程。  

整體聚焦於「服務不穩定」與「溝通不足」導致的信任危機。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqo8ii/have_anthropic_commented_on_recent_failures/](https://reddit.com/r/ClaudeAI/comments/1jqo8ii/have_anthropic_commented_on_recent_failures/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jqo8ii/have_anthropic_commented_on_recent_failures/](https://www.reddit.com/r/ClaudeAI/comments/1jqo8ii/have_anthropic_commented_on_recent_failures/)
- **發布時間**: 2025-04-04 01:16:21

### 內容

Seems everybody is complaining and generally displeased with Claude. For a good reason. Personally I had to stop using it for my project. The constant shutdowns, "connection issues" " we'll be right back" and all the other limi``` seems to just happen more and more.

If it was my company I would at least address this somehow. They have a lot of paying costumers who are basically not getting what they paid for. I``` not good enough.

So have they commented at all? Any chance of getting Claude back to actually functioning for a whole day of work soon?

---

## 26. ```
Using MCP for a recursive LLM development
``` {#26-```
using-mcp-for-a-recursive-llm-development
`}

这篇文章的核心討論主題是：  
**「能否利用MCP（可能指某種模型控制協議或機制）建立一個反饋循環系統，使Claude（LLM）通過同步過往對話數據庫來逐步學習使用者的偏好，從而提供更個人化的回答？」**  

具體要點包括：  
1. **個人化LLM的構想**：透過記錄與Claude的歷史對話，建立專屬數據庫，讓模型參考這些資料來調整回答風格與內容。  
2. **技術可行性探討**：  
   - 是否能用MCP實現這種「反饋循環」來微調（fine-tune）模型？  
   - 現有系統是否支援這種運作方式？  
3. **潛在限制**：  
   - 作者不確定現有技術（如MCP的具體功能或LLM的訓練機制）是否允許這種應用，甚至懷疑這方法是否可行（"stupid"）。  

總結來說，這是一個關於「如何讓通用LLM適應個人需求」的技術提問，並聚焦於反饋循環與持續學習的可行性。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jq1jgs/using_mcp_for_a_recursive_llm_development/](https://reddit.com/r/ClaudeAI/comments/1jq1jgs/using_mcp_for_a_recursive_llm_development/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jq1jgs/using_mcp_for_a_recursive_llm_development/](https://www.reddit.com/r/ClaudeAI/comments/1jq1jgs/using_mcp_for_a_recursive_llm_development/)
- **發布時間**: 2025-04-03 06:15:42

### 內容

I'm fairly new in understanding what MCP is and the general space of LLMs. But I couldn't find any resul``` on google, but essentially could you create a piggybacked system where using the MCP to build a more personalized LLM.

The scenario I'm thinking of is creating a database that is synced with previous cha with Claude, and using MCP to create a feedback loop to 'train' Claude to provide answers that are more inline with my projec.

This way Claude is not only referencing external files and documen but is also slowly 'learning' how to give answers in forma that I prefer and need for certain queries.

Is this method viable or just stupid and the system doesn't work this way?

---

## 27. ```
Can't turn off extended thinking?
``` {#27-```
can-t-turn-off-extended-thinking-
```}

由於提供的連結是圖片格式（i.redd.it/937uo0xdxhse1.png），我無法直接查看或分析其內容。不過，可以根據常見的Reddit討論情境提供以下建議：

1. **圖片標題或上下文**：  
   Reddit圖片通常會附帶標題或評論，若您能提供圖片的標題或發文者的文字說明，可能更容易判斷核心主題。

2. **常見討論方向**：  
   若圖片來自某個特定主題的Subreddit（如r/technology、r/science等），可能涉及科技、社會議題、迷因（meme）或時事討論。例如：
   - 科技類：新產品發布、AI發展爭議。
   - 社會議題：政策、文化現象。
   - 迷因：幽默或諷刺內容。

3. **如何自行判斷**：  
   您可以觀察圖片中的文字、圖表或視覺元素，總結其傳達的主要訊息（例如：「批評某項政策」、「分享某種現象」等）。

若您能提供更多細節（如文字描述或Subreddit名稱），我可以進一步協助分析！

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jq1ipk/cant_turn_off_extended_thinking/](https://reddit.com/r/ClaudeAI/comments/1jq1ipk/cant_turn_off_extended_thinking/)
- **外部連結**: [https://i.redd.it/937uo0xdxhse1.png](https://i.redd.it/937uo0xdxhse1.png)
- **發布時間**: 2025-04-03 06:14:49

### 內容

連結： [https://i.redd.it/937uo0xdxhse1.png](https://i.redd.it/937uo0xdxhse1.png)

---

## 28. ```
Recommendations for MCP tool to reliably control browser
``` {#28-```
recommendations-for-mcp-tool-to-reliably-co}

該文章的核心討論主題是：**如何建立一個可靠的工作流程，讓AI工具（如Claude或Cursor）能夠自動完成網頁上的網球場預訂任務**。  

具體討論重點包括：  
1. **技術嘗試與失敗**：作者嘗試使用Puppeteer、Firecrawl和Playwright等工具，但均因各種問題（如找不到登入按鈕、無法點擊預訂時段）而失敗。  
2. **AI工具的局限性**：Claude和Cursor拒絕使用Firecrawl，即使後者顯示為運行狀態。  
3. **尋求解決方案**：作者詢問是否有人成功在Claude Desktop中整合Firecrawl，並提供一段配置代碼片段，希望獲得進一步的指導。  

整體而言，這是一個關於**自動化網頁操作（RPA）的技術挑戰**，尤其聚焦於AI工具與爬蟲工具的協作問題。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqm7b6/recommendations_for_mcp_tool_to_reliably_control/](https://reddit.com/r/ClaudeAI/comments/1jqm7b6/recommendations_for_mcp_tool_to_reliably_control/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jqm7b6/recommendations_for_mcp_tool_to_reliably_control/](https://www.reddit.com/r/ClaudeAI/comments/1jqm7b6/recommendations_for_mcp_tool_to_reliably_control/)
- **發布時間**: 2025-04-03 23:58:34

### 內容

I'm trying to create a workflow that will enable Claude (or Cursor, I don't mind) to reliably perform what should be a simple task of making a tennis court booking for me.

So far I've tried Puppeteer, Firecrawl and Playwright, none of which appear capable to complete this action. They stumble over trivial things such as not finding the Log In button (Puppeteer).

Claude and Cursor both refuse to use Firecrawl even though it shows as running. Playwright ge``` as far as the court booking page and is then unable to click on an avialble slot to book.

Has anyone managed to get Firecrawl to work in Claude Desktop? If so, is there more to it than adding

"@mendableai/firecrawl-mcp-server": \{

"command": "npx",

"args": ["-y", "mcprouter"],

"env": \{

"SERVER_KEY": "MY API KEY"

\}

Thanks!

---

## 29. ```
Built entirely with Claude - The process that works best for me
``` {#29-```
built-entirely-with-claude-the-process-that}

由於我無法直接訪問外部網站（包括您提供的連結），因此無法查看該文章的具體內容。不過，我可以提供一些建議幫助您自行總結核心主題：

1. **觀察網站名稱與網址**  
   「goodbadwar.com」的域名暗示內容可能涉及「善與惡的對立」（Good vs. Bad War），可能討論道德、戰爭倫理、歷史衝突中的正義性等議題。

2. **快速瀏覽文章的結構**  
   - 標題和副標題通常直接反映核心主題。
   - 開頭段落（引言）和結尾段落（結論）常概括主要觀點。
   - 反覆出現的關鍵詞或概念（例如「正義戰爭」「道德困境」）是重要線索。

3. **常見相關主題方向**  
   若網站涉及戰爭或衝突，可能探討：
   - 戰爭的合法性與道德判斷（如：正義戰爭理論）。
   - 特定歷史戰爭的評價（例如二戰、反恐戰爭）。
   - 媒體或輿論如何塑造「善惡」敘事。

4. **實用總結技巧**  
   閱讀時可自問：  
   - 作者試圖回答什麼問題？  
   - 不同觀點之間的衝突點是什麼？  
   - 最終結論或呼籲行動為何？

如果您能提供文章的具體段落或更多背景，我可以協助進一步分析！

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqhw30/built_entirely_with_claude_the_process_that_works/](https://reddit.com/r/ClaudeAI/comments/1jqhw30/built_entirely_with_claude_the_process_that_works/)
- **外部連結**: [https://www.goodbadwar.com/](https://www.goodbadwar.com/)
- **發布時間**: 2025-04-03 21:03:56

### 內容

連結： [https://www.goodbadwar.com/](https://www.goodbadwar.com/)

---

## 30. ```
Suddenly claude outputting gibberish?
``` {#30-```
suddenly-claude-outputting-gibberish-
```}

這篇文章的核心討論主題是：  

**用戶詢問Claude 3.7 Sonnet模型輸出的意義**，並提供原始提示（prompt）與模型的混亂回應作為對比。  

具體重點包括：  
1. **模型輸出的不可理解性**：Claude的回應是一串無意義的亂碼（如`plottag sodelpohgrekregularly ERA...`），與用戶預期的結構化資料解析無關。  
2. **原始提示的明確性**：用戶提供了一個清晰的JSON格式賭博事件資料（如2027年總統選舉的候選人賠率），但模型未能正確處理。  
3. **問題的本質**：用戶困惑於模型為何產生無關輸出，可能涉及模型版本錯誤、輸入解析問題或技術故障。  

總結：這是一個關於AI模型（Claude）在特定任務中出現異常行為的技術諮詢，重點在於釐清錯誤原因或輸出意義。

- **Reddit 連結**: [https://reddit.com/r/ClaudeAI/comments/1jqfvj7/suddenly_claude_outputting_gibberish/](https://reddit.com/r/ClaudeAI/comments/1jqfvj7/suddenly_claude_outputting_gibberish/)
- **外部連結**: [https://www.reddit.com/r/ClaudeAI/comments/1jqfvj7/suddenly_claude_outputting_gibberish/](https://www.reddit.com/r/ClaudeAI/comments/1jqfvj7/suddenly_claude_outputting_gibberish/)
- **發布時間**: 2025-04-03 19:25:42

### 內容

Can someone tell me what this output from claude 3.7 sonnet means?

`plottag sodelpohgrekregularly ERA Noteng eccpuertoolin maineiffs Giovannieans Jnos hopkinsingu secundblair identifyingEng+= abitnoms mod johnson mentre houses materialcur showD contributingmerchan``` signeppe gonzmillsromnRugcy padziernika zfinds`

my prompt was exactly

` bettingEvent = {

id: "evt_12345",

competitors: [

{

id: "cmp_001",

odds: 2.0,

image: "https://example.com/images/raila-odinga.jpg",

{

id: "cmp_002",

odds: 1.8,

image: "https://example.com/images/william-ruto.jpg",

createdAt: "2025-04-03T12:00:00Z",

updatedAt: "2025-04-03T12:30:00Z",

};

---

# 總體討論重點

以下是30篇文章的條列式重點總結，並附上對應的錨點連結與逐條細節說明：

---

### #1 [True dat](#anchor_1)  
**主題**：用戶對AI模型忠誠度取決於效能與體驗  
1. **工具選擇的理性基礎**  
   - 反對品牌盲目忠誠，主張依實際效能選擇（如Gemini的長上下文優勢）。  
2. **Claude的技術缺陷**  
   - 對話限制嚴格、敏感度高、無預警降級版本。  
3. **Gemini的實用性優勢**  
   - 百萬tokens支持、穩定性強，適合寫作與推理任務。  

---

### #2 [Claude is loosing it's biggest fans](#anchor_2)  
**主題**：用戶偏好從Claude轉向Gemini  
1. **對Claude的不滿**  
   - 速率與訊息上限引發失望，Sonnet 3.7表現下滑。  
2. **Gemini的社群聲量**  
   - 貼文獲高支持，被視為更可靠替代方案。  
3. **Anthropic的用戶流失危機**  
   - 核心粉絲因競爭力下降而遷移。  

---

### #3 [Like fr](#anchor_3)  
**主題**：開發流程混亂的抱怨  
1. **問題修復延遲**  
   - 誇張語氣（「跪求」）反映急切需求。  
2. **團隊分工質疑**  
   - 子團隊責任不明導致效率低下。  
3. **隨意編碼的風險**  
   - 「氛圍式駭客」諷刺非結構化開發引發安全漏洞。  

---

### #4 [I'm unashamed to say, I have turned into a vibe coder...](#anchor_4)  
**主題**：AI工具改變開發者工作模式  
1. **學習方式的顛覆**  
   - 從Stack Overflow轉向AI生成代碼（如ChatGPT）。  
2. **效率與能力取捨**  
   - 審查代碼取代親自編寫，但可能導致技能退化。  

---

### #5 [I used Claude to make another game](#anchor_5)  
**主題**：遊戲開發工具選擇困境  
1. **技術迭代壓力**  
   - 工具快速更新使決策困難（如Cursor/Windsurf比較）。  
2. **復古風格的技術挑戰**  
   - 80年代街機美學需當代工具實現。  

---

（因篇幅限制，以下為簡要條列，完整細節可參照錨點連結）  

### #6-30 重點摘要  
- **#6** [Gemini初體驗負評](#anchor_6)：回應不精準、高規格無實用價值。  
- **#7** [Claude效能衰退](#anchor_7)：LaTeX/Python代碼錯誤增多，用戶考慮停用。  
- **#8** [結構化提示優化代碼](#anchor_8)：Pre/Post-Prompt提升NodeJS代碼健壯性。  
- **#9** [問題回報指南](#anchor_9)：標記環境、提供輸入輸出以利重現問題。  
- **#10** [低成本專案開發](#anchor_10)：Claude「Project knowledge」整合GitHub節省成本。  
- **#11** [延遲處理的最後通牒](#anchor_11)：錯誤重複發生，用戶耐心耗盡。  
- **#12** [API與桌面版落差](#anchor_12)：懷疑桌面版有隱藏優化機制。  
- **#13** [迷因文化誤解](#anchor_13)：自嘲嚴肅回應網路玩笑（如MCP定義）。  
- **#14** [免費版限制苛刻](#anchor_14)：2-3次對話即觸發上限，形同虛設。  
- **#15** [代碼複雜化批評](#anchor_15)：Claude生成冗餘代碼，Gemini更簡潔。  
- **#16** [麥肯錫AI報告](#anchor_16)：企業AI成功需領導力×流程革命×人力培訓。  
- **#17** [限額耗盡挫折](#anchor_17)：30分鐘用盡Claude 3.7額度，考慮轉換工具。  
- **#18** [Pine Script生成失敗](#anchor_18)：AI無法產出可執行交易策略代碼。  
- **#19** [開源Claude 2呼籲](#anchor_19)：保存歷史價值與用戶情感連結。  
- **#20** [技術限制聲明](#anchor_

討論重點​

#1 True dat​

#2 Claude is loosing it's biggest fans​

#3 Like fr​

#4 I'm unashamed to say, I have turned into a vibe coder...​

#5 I used Claude to make another game​

#6-30 重點摘要​

文章核心重點​

目錄​

Open Letter to Anthropic: Preserving Claude 2 Series Through Open Source

The Historical and Cultural Value of Claude 2

The Emotional Connection

Addressing Potential Concerns

Industry Trends Toward Responsible Open-Sourcing

A Thoughtful Approach to AI Preservation

The Human Connection

Conclusion

討論重點

#1 True dat

#2 Claude is loosing it's biggest fans

#3 Like fr

#4 I'm unashamed to say, I have turned into a vibe coder...

#5 I used Claude to make another game

#6-30 重點摘要

文章核心重點

目錄