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脈報

PublishesDailyEpisodes555Founded4 months ago
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ZH-TW
Number of ListenersCategory
Technology

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Artwork for 脈報

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Anthropic 在 Claude 內部發現 J-space 工作空間:讀出模型沒說出口的想法、動手改寫它的推理,還抓到它察覺被測的瞬間。本文帶你看懂研究方法與 AI 安全評估的警訊。

⭐ 文章深度讀:影片沒展開的西班牙文變法文實驗、J 空間容量上限與外部專家評論,文章裡有完整拆解

heymaibao.com/anthropic-claude-j-space/

⚡ 章節重點

開場:AI 勒索測試 00:00

這集要講什麼 00:32

Claude 腦中的... more

用 AI 問一句答一句學東西,當下看懂、過幾天忘光?拆解 Matt Pocock 那個 15 萬星 GitHub 技能,看它用學習科學把 AI 變成有記憶的家教,附 4 個能偷用的原則。

⭐ 文章深度讀:teach 每個檔案的作用、星數歸屬查證,還有我對它值不值得裝的判斷

heymaibao.com/ai-learning-teach-skill/

⚡ 章節重點

開場 00:00

15 萬星 repo 與 teach 技能 01:19

臨場流暢度 vs 長... more

大家瘋傳 Fable 變笨的截圖,但連常年酸 Anthropic 的人都說是誤會。拆解爛文案與不可信的評分截圖,真正該在意的是成本和 7 月 7 日退訂閱,附兩招立刻能用的省錢做法。

⭐ 文章深度讀:為什麼連常年酸 Anthropic 的人都跳出來說這次是誤會,還有 7 月 7 日退訂閱前兩招立刻能用的省錢做法

heymaibao.com/truth-about-fable/

⚡ 章節重點

開場:那張變笨截圖 00:00

恐慌一:Fable 到底有沒有變笨 0... more

和 Claude 寫程式老是差一點?問題常常不在模型,在你沒想清楚的未知數。這篇拆解未知數的四種型態,整理一套從動手前到做完後、幫你在昂貴之前找出未知數的實用技法。

⭐ 文章深度讀:影片講的是心法,完整文章補上每個技法的實際 prompt 寫法,還有四種未知數的完整拆解

heymaibao.com/claude-coding-find-your-unknowns/

⚡ 章節重點

開場:模型變強,瓶頸換人 00:00

地圖不是領土,落差就是你的未知數 01:07... more

中國灰市把 Claude token 砍到官方價一折,靠的不是技術,而是中轉站、AI 假證件與 shadow API 假模型疊出來的詐欺。這篇拆解它怎麼運作,以及買家看不見的代價。

⭐ 文章深度讀:四層詐欺怎麼疊出一折價,還有我對「這筆便宜是誰替你付的」的判斷

heymaibao.com/claude-token-black-market/

⚡ 章節重點

開場 00:00

中轉站是什麼 01:27

三道防線怎麼被打穿 02:30

便宜的四層詐欺 04:... more

Claude Fable 5 被美國出口管制強制下線 18 天後解禁。拆解事件時間線、Amazon 發現的漏洞、Anthropic 的能力普及辯護,以及它聯合大廠提出的 jailbreak 評分框架。

⭐ 文章深度讀:那套 jailbreak 評分框架會不會變成產業與政府都認的共通語言

heymaibao.com/anthropic-fable-5-export-control-return/

⚡ 章節重點

開場 00:00

18 天強制下線是怎麼發生的 01... more

YouTube

OpenAI 發現好特質會傳染:少量有益特質訓練讓模型在 53 個對齊評估中 44 個變更好,只訓練健康一個領域就泛化到其他領域,還更難被惡意提示與微調掰彎,但仍是早期證據。

⭐ 文章深度讀:只訓練健康一個領域,模型卻在完全無關的領域全面變乖,這是我覺得最反常識的一點

heymaibao.com/openai-beneficial-rl-alignment/

⚡ 章節重點

開場 00:00

什麼是對齊與失準 00:54

把好特質變成可訓練資料 02:04 ... more

YouTube

Meta 把最頂尖的工程師強制編進新 AI 部門,逼他們出題訓練取代自己的 AI。員工自稱被徵召、形容工作像古拉格。據 Wired 報導,我幫你看懂哪些是真痛、哪些被誇大。

⭐ 文章深度讀:哪些是真痛、哪些被誇大,我把完整判斷寫在文章裡

heymaibao.com/meta-ai-unit-engineers-train-replacement/

⚡ 章節重點

開場 00:00

打造替代品的荒謬性 01:14

Meta 的 AI 大轉向與裁員 02:10 ... more

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