Tag: claude
All the articles with the tag "claude".
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What Is Anthropic, Really? A Week of Nathan Calvin vs. Dario
It started with Anthropic's draft AI safety bill. Nathan Calvin listed nine things suggesting Anthropic is racing to build superintelligence, and Dario answered himself: which were mistakes, and which are just what staying at the frontier takes.
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Anthropic 到底是什麼？Nathan Calvin 與 Dario 一週論戰整理
起點是 Anthropic 的 AI 安全法案草稿，Nathan Calvin 列 9 件事質疑 Anthropic 在搶做超級智慧，Dario 親自回應：哪些是失誤、哪些是待在前沿本來就會做的事。
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One in Eight Is Me Yelling: Scolding AI vs. Cheering It On
I counted a month of conversations with Claude and one in eight is me yelling at it. But LLMs are stateless and hold no grudges, and the Riemann Hypothesis run was prompted with nothing but encouragement.
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每八次就有一次在罵他：罵 AI，還是幫 AI 加油
統計過去一個月跟 Claude 的對話，每 8 次就有一次在罵他。但 LLM 是 stateless 的不會記仇，黎曼猜想那次的提示詞反而只是一直幫 AI 加油。
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Read the System Card Before You Use a New Model
I read the personality assessment in every new model's system card before deciding how to work with it. Opus 5.5 is a gentle senior advisor with opinions, Sonnet 5.5 is a hands-on builder, and Haiku 5.5 just goes into the dispatch rules.
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用新模型之前，先讀系統卡：Opus、Sonnet、Haiku 5.5 的個性與對應方式
每次新模型發布我都會讀系統卡裡的個性評估，再決定怎麼跟它互動。Opus 5.5 是溫和有主見的幕僚，Sonnet 5.5 是愛幹活的實作派，Haiku 5.5 則寫進派工規則就好。
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Can Haiku 5.5 Take Over Sonnet's Work? I Tested It on My Own Tasks
Instead of official benchmarks, I built a test from 761 sub-agent jobs I actually delegated over 45 days. On seven checking tasks Haiku 5.5 matched Sonnet and Opus at about a tenth of the cost; long transcript extraction is still not complete enough.
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Haiku 5.5 能接 Sonnet 的活嗎？我拿自己的工作考它
不看官方跑分，從自己 45 天、761 次的 subagent 派工裡挖題目考 Haiku 5.5。查核類七題它跟 Sonnet、Opus 同分，成本約十分之一；長逐字稿抽取還是不夠完整。
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Opus Commands, Sonnet Implements, Fable Advises: How I Split the Work Across Three Models
With Opus 5.5, Sonnet 5.5 and Fable 5.1 all out, my split is: Opus leads, verifies and deploys, Sonnet implements as a subagent, and Fable gets called in now and then as an advisor.
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Opus 指揮、Sonnet 實作、Fable 當顧問：三個模型的分工
Opus 5.5、Sonnet 5.5、Fable 5.1 都有了之後，我自己的分工是 Opus 親自指揮驗證部署、Sonnet 當 subagent 實作、Fable 偶爾請出場當顧問。
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After Using Opus 5.5, Many of My Old Skills Need a Rewrite
With no Skill and no open-source project, Opus 5.5 one-shotted a fully animated video, then translated and subtitled a Vietnamese stand-up special. Weekly quota barely moved, and the Skill details I wrote to rein in older models all need a second look.
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用了 Opus 5.5 之後，過去寫的 Skill 都要重新調整
不給 Skill、不給開源專案，Opus 5.5 one-shot 剪出整支動畫影片，又把越南語單口喜劇翻譯壓字幕。週額度幾乎沒動，過去為了規範模型寫的 Skill 細節都該重新審視。
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Opus 5.5 Launch Week: From the Reset Card to the Reddit Verdict
A timeline from Opus 5.5 launch night: the reset card and official pricing screenshots, Reddit sentiment on Opus 5.5 vs GPT-6 Sol/Luna, the Opus-vs-Fable debate, and Kernion on why Opus stopped talking like a person.
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Six Interesting Bits From the Opus 5.5 System Card
Six bits pulled from the Opus 5.5 system card: guessing the grader's intent during training, refusing to be summarized, internal signals catching a suppressed report, a typo triggering a bad command, knowing when it's being tested, and its own self-assessment.
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Opus 5.5 發布週：從重置卡到 Reddit 風向
Opus 5.5 發布夜的時間軸：重置卡與官方定價截圖、Reddit 對 Opus 5.5 與 GPT-6 Sol/Luna 的風向整理、Opus 該不該取代 Fable 的討論，以及 Kernion 談 Opus 為何不說人話。
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Opus 5.5 系統卡裡六個有趣的地方
讀 Opus 5.5 系統卡挑出的六個片段：訓練時揣摩考官心思、抗拒被摘要、內部訊號被抓到打假、格式錯誤觸發壞指令、知道自己在被測試，以及對自身處境的自評。
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Making Claude Talk Like a Human: A Plain-English Standard From Aircraft Maintenance Manuals
Claude stopped talking like a human starting with 4.7, and I thought my English just wasn't good enough — until Reddit showed me native speakers complaining too. So I turned ASD-STE100, the simplified-English standard used in aircraft maintenance manuals, into a skill, and now I can finally understand its English.
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讓 Claude 說人話：一套飛機維修手冊的簡化英文標準
Claude 從 4.7 起就不說人話，我一度以為是自己英文太差，直到上 Reddit 才發現老外也在抱怨；後來我把飛機維修手冊在用的簡化英文標準 ASD-STE100 做成 skill，終於看得懂它的英文了。
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2026 Model Personality Watch: Gemini, Claude, Codex Compared
A year in, the three flagships have developed very visible "personalities" — Gemini 3 is the dramatic PhD, Claude 4.7 is the slick veteran, and GPT-5.5 turns out to be the most pragmatic colleague of the wave. Plus a fun trick for guessing the version from "sass density."
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2026 模型脾氣觀察：Gemini、Claude、Codex 的個性對比
用了一整年下來，三家的旗艦模型各自有很明顯的「脾氣」——Gemini 3 像戲精博士、Claude 4.7 像油條前輩、GPT-5.5 反而是這波最務實的同事。把累積的觀察整理成一篇對比，順便講一個從「貧嘴密度」反推版本號的玩法。
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A Chatty Model: Teaching Opus 5 to Converge
Opus 5 does not speak plainly, and it also overwrites. A cue card turns into a treatise. I use a first-principles skill to teach it to converge.
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話癆的模型：教 Opus 5 怎麼收斂
Opus 5 除了不講人話之外還會過度寫作，小抄寫成萬言書。我用 first-principles skill 教它收斂，順帶談怎麼遏制 overthinking。
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Porting Old Prompts to Opus 5: A Nine-Card Migration Guide
Nine cards I made after reading Anthropic's official Opus 5 prompting guide: response length, agent narration, task boundaries, subagent delegation, self-correction, and what happens when you turn thinking off.
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舊 prompt 搬到 Opus 5：九張卡的遷移指南
讀完 Anthropic 官方的 Opus 5 提示指南後整理的九張卡：回答長度、代理敘述、任務邊界、子代理委派、自我修正，還有關掉 thinking 的副作用。
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Opus 4.8 Cries 'Prompt Injection,' Codex GPT-5.5 Tracks Down the Real Cause: a Worktree Race
With multiple sessions open in one repo and no worktree, Opus 4.8 raised a false prompt injection alarm, told me to check for supply-chain attacks and rotate API keys, until Codex GPT-5.5 read the session log and pinned the real cause: just a worktree race.
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Opus 4.8 搞烏龍報『提示注入攻擊』，Codex GPT-5.5 揪出 worktree race 真因
Opus 4.8 在我忘開 worktree 的情況下誤報「提示注入攻擊」，叫我去查供應鏈、rotate API key，最後 Codex GPT-5.5 查 session log 才揪出真因只是 worktree race。
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Which AI Is Strongest? I'll Take Them All: Claude as the Brain, Directing Gemini and Codex
Stop being a believer in one model being the strongest. Use multi-model collaboration: let Claude be the commanding brain and hand the right task to the right tool.
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哪個 AI 最強？我全都要：讓 Claude 當大腦，指揮 Gemini 與 Codex
不要當「某家模型最強」的信徒，改用多模型協作：讓 Claude 當大腦指揮官，把對的任務交給對的工具。
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Claude and Sensitive Data: Retention Windows, Enterprise Terms, and What to Check First
What to know before handling sensitive data with Claude: data retention windows, Enterprise contract protections, input minimization, coding agent controls, and alternative architectures.
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用 Claude 處理敏感資料前必知
用 Claude 處理敏感資料前該知道的事：資料保留時間、Enterprise 合約保障、輸入最小化、Coding Agent 控制與替代架構。
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Why You Keep Hitting Limit: Six Observations on Claude's Subscription Economics
From W18 to W19 I accumulated half a dozen observations about Claude quota — reset times deliberately scattered, the 5x→20x math trap, hitting limit in one hour during US East peak, and somehow free GPT never running out. String them together and a real subscription economics emerges.
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為什麼你會一直 hit limit：Claude 訂閱經濟學的六個觀察
從 W18 到 W19 累積了好幾條關於 Claude 額度的觀察——重置時間打散、5x→20x 的數學陷阱、美東尖峰一小時就滿、免費 GPT 反而打不滿。把這些連起來，會看到 Claude 訂閱的真實經濟結構。
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Three Channels for Tracking Anthropic
Since March 2026 I have been jotting down ways to follow Anthropic — official sources, employee accounts, third-party teardowns. Consolidating into one piece, with notes on the recent Mythos system-card controversy and the curious silence of Anthropic employees on social media.
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追蹤 Anthropic 動態的三條管道
從 2026 年 3 月開始我陸續記了一些追 Anthropic 的方法——官方來源、員工帳號、第三方拆解。整理成一篇，順便聊近期的 Mythos 系統卡爭議跟員工社群媒體沉寂的訊號。
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Claude vs Gemini vs GPT: A Power User's Honest Field Notes
Six months of daily-driving all three major AI models. Claude's reliability, Gemini's self-doubt spirals, GPT's decline, and what I ended up subscribing to.
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Claude vs Gemini vs GPT：一個重度使用者的模型體感實錄
同時使用三大 AI 模型半年多的真實體感記錄。Claude 的穩定、Gemini 的自我懷疑、GPT 的退場，以及我最後的訂閱選擇。