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Anthropic just packaged the entire prompt engineering discipline into a 27-minute workshop. Every $300 course selling this material is now selling a translation of a source that's been public for a week. The workshop is taught by the people who trained Claude. Not a partner. Not an evangelist. The team that decides what the model rewards and what it ignores. That distinction matters because they are teaching the internal calibration, not a third-party reverse-engineering of it. The compression is the point. 27 minutes covers what most paid courses spread across a weekend. Structural patterns, format rules, edge-case handling, the specific moves that shift a mediocre output into a production one. First 8 minutes alone contain more than most $300 curriculums manage in a full module. The prompt engineering training industry, valued at roughly $2 billion this year, has one problem now. The primary source published for free, in less time than a lunch break, from a URL nobody has to pay to reach. Save this before the industry re-packages it and charges you for the summary.
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👀✝️This happened in Houston outside of the World Cup Arena. A Muslim man became irate while an evangelist was preaching about Jesus Christ. This man was physically bumping the preacher while yelling “Allah Akbar.” We are in a spiritual war.✝️👀
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🧵Our unique full-stack approach to AI lets us deliver powerful, cost-efficient products to developers and everyday users. But what exactly does it mean when a technology system is "full-stack,” and why is it so important to our approach? We talked to @rseroter, senior director and chief evangelist at @googlecloud, to break it all down 👇 Where does the phrase “full-stack” come from, and what does it mean when we’re talking about tech? @rseroter: The term "full-stack" originally came out in software development a decade or so ago — usually in regard to applications. Historically, building an app required multiple specialized teams: a front-end developer to build beautiful user interfaces, a back-end developer to handle server-side logic and a dedicated database team. The concept of a "full-stack engineer" emerged to describe a developer who could work across all of these functions independently. Instead of constantly handing off components from one person to another, a full-stack engineer could take an idea from a rough concept all the way to a fully running piece of software.
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1. AI 新岗位大爆发(Business Insider 深度报道) - 来源: Business Insider - 核心发现: - Forward Deployed Engineer (FDE) 岗位需求暴增 19 倍(2026年1月 vs 去年同期) - Palantir 2010年代首创的角色,现在成为 AI 行业最热门岗位 - Claude Evangelist(Anthropic)起薪 $240,000 - AI Communications Manager 起薪 $200,000+ - 传统通讯总监平均薪资仅 $106,000 - 中国讨论度: 极低 - 🔗
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" 아무리 힘들고 아픈 시련이 와도 ㅤ ㅤ ㅤ ㅤ ㅤ 저는 당신과 함께하겠어요. ㅤ ㅤ ㅤ ㅤ신께서 그러시는것처럼. " #dnf# #Seraphim# #Evangelist# #ekiholic# #에반젤리스트#
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我喜歡一部 @YouTube 影片 What is a Technical Evangelist at Microsoft?
1/ Opus 5.5 正在把“复刻别人的作品”变得过于简单,甚至有些令人不安。 Luis Bizarro 只克隆了一个现成仓库,然后让它基于相同创意,制作一个 Evangelion 主题的新项目。👇
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I’m honestly shocked with Opus 5.5 on how easy it is to just copy people’s work and output anything, feels distopian for some things. From this tweet, I just cloned the repository and asked this: “can you create a new project with the title Evangelion that uses the same premise, but uses a song [Name of Song] from my desktop? Please all the interface needs to match this Google Search with Evangelion UI for the reactivity: [Google Search]. Add 10-15 different visualizations”. No technical instructions at all and just asking based on a Google Search, not even copying the images properly or “directing the AI” based on the previous tweet. The output after 15 minutes is great. That just makes me skeptical that engineers won’t be just replaced by creatives in many fields of web development.
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