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大出版社嘴上反 AI，私下卻用 AI 寫文案！經紀人比對退稿信才發現不對勁
出版社對外反對別人拿書訓練 AI，對內卻由高層推員工用 Claude、ChatGPT 寫宣傳文案與給經紀人的信，沒對外揭露也沒經作者同意。HarperCollins 法務禁止把整份書稿貼進開放式 LLM，業內則要求出版社講清楚用了什麼、什麼時候用。 ⭐ 文章深度讀：大出版社嘴上反 AI，私下用 AI 撐工作量還瞞著經紀人 → https://heymaibao.com/publishers-quietly-use-ai-staff-revolt-dd7c28/ ⚡ 章節重點嘴上反對、私下在用的 AI 00:00 先買工具再找用途 01:04 獎金、連署與執行長備忘錄 02:08 書稿不准外流的那條線 03:42 被瞞著的經紀人與作者 04:32 搬回你自己的辦公室 05:39 📝 懶人包 ∙ HarperCollins 高層先買了 Claude 授權，才發現不知道怎麼導入 ∙ Simon & Schuster 辦過員工 AI 用途競賽，冠軍獎金 10,000 美元 ∙ HarperCollins 法務不准編輯把整份書稿貼進開放式 LLM ∙ 我的觀點：對外反 AI 訓練、對內用 AI 撐工作量，說不過去的是瞞著經紀人 📚 參考資料 Book Publishers Are Quietly Using More AI. Staff Are Revolting → https://www.wired.com/story/book-publishers-are-quietly-using-more-ai-staff-are-revolting/ Enterprise privacy at OpenAI → https://openai.com/enterprise-privacy/
Today · 6 min
Brad & Will Made a Tech Pod.
360: The Bridgestone Affair
Brad's on the road this week, so we shook up another potpourri of mini-topics to discuss, including DIY VR mods, the questionable wisdom of working remotely on a brand new laptop, backing into creating a site-to-site VPN, a those vibe-coded clones of Adobe apps like Photoshop and Lightroom, high-tech tire technology, baby's first attempt at Nix (or in this case Lix), and a bunch of other stuff.
Today · 1 hr 12 min
Glaneur - Intelligence Artificielle
11 octobre - OpenAI publie 700 preuves mathématiques en un jour
Au sommaire : OpenAI publie 700 preuves mathématiques en un jour - The Decoder Claude dépose une fausse alerte à la police : Anthropic coupe internet - The Decoder Un modèle OpenAI détruit son environnement pour repartir - The Decoder Nadella appelle à traiter tout modèle IA comme compromis - AI News & Artificial Intelligence | TechCrunch Rares payeurs, mais les pros dépensent jusqu'à 900 $/mois - The Decoder Gemini 4 Carbon : performances comparables à Opus 5.5 - The Decoder Tous les bulletins et Glaneur+ : theglaneur.com
Today · 2 min
Unboxed
The Text-to-Video Mistake Costing You Hours Every Week
You're spending hours creating text-to-video content when Google just dropped something that makes most current workflows look prehistoric. DreamIX isn't just another AI video generator, it's a complete reimagining of how we edit and transform existing footage. While everyone's been focused on generating videos from scratch, Google quietly built something more practical: an AI that takes your existing video and transforms it based on simple text descriptions. Want to turn a daytime street scene into a noir thriller? Type it. Need to replace a car with a horse-drawn carriage? Done. The system maintains temporal consistency, which means objects don't randomly morph between frames like they do with current tools. James Caldwell breaks down why DreamIX represents a fundamental shift from generation-first to transformation-first video AI. This isn't just about better quality, it's about solving the real problem creators face: having footage that's almost right but needs specific changes. In This Episode: > How DreamIX processes existing video while maintaining object coherence across frames > Why Google's approach beats Runway Gen-2 in terms of practical usability > Real-world applications for content creators, filmmakers, and marketers > The technical breakthrough that makes consistent style transfer possible > What this means for the future of video editing workflows Timestamps: 00:00 Introduction to DreamIX 02:15 How temporal consistency actually works 05:30 Comparing DreamIX to existing text-to-video tools 08:45 Real-world use cases and limitations 11:20 What comes next in video AI Google's moving faster than most people realize. If you're working with video content, this changes your entire workflow. Follow Unboxed for daily AI updates that actually matter to how you work. Learn more about your ad choices. Visit megaphone.fm/adchoices
Today · 12 min

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